Journal of Applied Engineering and Technological Science (JAETS)

Investigating The Failure of Leaf Springs in Automobile Suspension on Ghana Road

Tue, 16 Aug 2022 00:00:00 +0700

This study investigates the failure of leaf springs used in the suspension system of heavy-duty vehicles in Ghana. Primary and secondary data were collected using both open and closed-ended questionnaires. Welders and fabricators of Sarkyoyo enterprise at the Suame Spare parts dealership area in Kumasi were engaged in the survey. The elastic strain and stress mathematical models were used to determine the stress points in a loaded leaf spring with the aid of ANSYS. The factors considered in the analysis were the leaf spring SAE design specification, the recommended Ghana Highway Authority load limit for heavy-duty vehicles, and the terrain. Analysis was done for both the standard and variable curvature leaf springs. The mode of failure was found to be fatigue loading. The causes of failure were determined to be loaded beyond the recommended 43 tons per wheel limit, bad roads, and reckless driving. It was also observed that loading causes the edges of the leaf spring to bend outwardly from the top, making the edges more prone to failure. Results further showed that the leaf spring with variable curvature recorded strain energy 2.5 times higher than the standards leaf spring.

Finite Element Analysis of SS316L-Based Five-Hole Plate Implant For Fibula Reconstruction

Mon, 15 Aug 2022 00:00:00 +0700

This study analyzed the design performance of SS316L-based plate implant for fibula restoration using a Finite Element Analysis approach. The simulated model design has dimensions of 35 x 5 x 1.5 mm and five holes with 2-3 configuration. The results of the bending test simulation showed that the values for both displacement and Von Mises stress that occurred (0.008 mm and 116 MPa of each) were still considerably below the yield stress of the SS316L material. The same results were also shown in the tensile test simulation, although the clamping setting on the plate was changed on the other side. From this finite element analysis approach, the SS316L-based five-hole plate implant design has a fairly good strength performance as a fibular bone-implant restoration product.

Performance Analysis of a Mechanical System To Break and Separate Palm Nut-Fibre Cake

Mon, 15 Aug 2022 00:00:00 +0700

This research seeks to test the performance of a palm nut-fibre cake breaker and separator machine to alleviate the problem of hand separation by local oil producers. It takes into consideration the standard cylindrical shape of a palm nut-fibre cake. The machine operated on an electric motor of 2.2 kW at 1420 rpm. The average throughput capacity of the machine was 107.72 kg/hr with the capacity weight of 120 kg. Test results indicated a separation efficiency of 92%. Also, cost estimation indicated that the annual savings in using the machine with less labour than manual labour entirely was $466. The study outcome is relevant to small-scale producers on the need to utilize a cost-effective machine to facilitate a high separation yield of nuts and fibres from the cake obtained from processing palm oil and improve the production output of palm kernel oil processed from the nuts.

Expert System For Diagnosing Diseases in Toddlers Using The Certainty Factor Method

Bayu Saputra, Agnita Utami, Edriyansyah Edriyansyah, Yuda Irawan — Tue, 23 Aug 2022 00:00:00 +0700

Disease is an abnormal condition in the body that causes body misalignment. There are various types of diseases that threaten humans, both parents and children. This disease can be caused by germs, bacteria, viruses, toxins, organ failure to function, and also by inherited/hereditary diseases. The difficulty of parents to find out the disease suffered by their children is one of the problems of parents today. So, we need a system to help with this predicament. The purpose of making this application is to provide information quickly and accurately in solving problems to help consult about diseases in toddlers aged 0-5 years. In addition, to find out ways to make programs that are expert systems using programming languages for artificial intelligence applications, namely PHP and Mysql, the certainty factor method is applied in web form. Using the certainty factor method is a decision-making strategy that starts from the section premise to conclusion. The result of system implementation is that the user chooses from the symptoms that already exist in the system based on the existing symptoms then processed, from the process the system provides information on diseases in children suffered by toddlers. From the results of testing this expert system has been able to diagnose diseases in children. After the diagnosis, the types of diseases and solutions will appear. Diagnosing disease in children by using this certainty factor is expected to make it easier to diagnose disease in children

Application of E-Learning for Online Learning During the Covid-19 Pandemic at University of Pembangunan Panca Budi

Heri Kurniawan — Thu, 01 Sep 2022 00:00:00 +0700

During the COVID-19 pandemic, all activities must be carried out at home as a result of the policy of restricting people's movement. As a result of this policy, all learning at the school and university levels must be carried out remotely or online. In particular, universities have not been able to carry out distance or online learning for all courses and all meetings. Of course, during the pandemic, it is a challenge for all universities to be able to carry out distance learning or online learning. So far, all universities in Indonesia are still implementing a blended learning system, or mixed learning between face-to-face meetings and online meetings. Usually 30% of face-to-face meetings and 70% online use e-learning. At University of Pembangunan Panca Budi, e-learning-based blended learning has been implemented and developed since 2012. Even though UNPAB's infrastructure and human resources are quite ready to carry out fully online learning during a pandemic, there are challenges that must be anticipated, namely student readiness. because most of the students are in the area.

Keywords : (e-learning, distance learning, covid-19)

Classification Of Guarantee Fruit Murability Based on HSV Image With K-Nearest Neighbor

Frencis Matheos Sarimole, Muhammad Ilham Fadillah — Thu, 01 Sep 2022 00:00:00 +0700

Guava bol is one of the fruits from Indonesia that is favored by many Indonesian people. The guava itself has a soft and dense flesh texture compared to water guava. The guava itself has a pink color if it is raw but if the guava is ripe it will be dark red. From a glance, when viewed from human vision, it is very easy to distinguish between them, but from most people it is still difficult to distinguish which guava is ripe, half-ripe and unripe guava because of differences in opinion from one human eye to another. Based on these problems, researchers have developed a system that is able to detect the maturity level of guava fruit by utilizing the Hue Saturation Value (HSV) feature extraction with K-Nearest Neighbor (KNN). The data used in this study were 465 datasets which were divided into 324 training data and 141 test data. The data had classes, namely ripe, half-cooked, and raw. The data is then classified using the K-Nearest Neighbor method by calculating the closest distance with a value of K = 3. From this study resulted in an accuracy of 97.16%.

Implementation of OCR (Optical Character Recognition) Using Tesseract in Detecting Character in Quotes Text Images

Ikha Novie Tri Lestari, Dadang Iskandar Mulyana — Fri, 02 Sep 2022 00:00:00 +0700

The development of technology in Indonesia is currently increasingly advanced in people's lives and cannot be avoided. The use of Artificial Intelligence in helping humans in dealing with problems is growing. Humans can take advantage of computer/smartphone media in today's technological era. One of its uses is Optical Character Recognition. This research is motivated by the problem where the running system requires development in terms of technology to detect characters in the quote text image, because the previous system still performs manual input. Optical Character Recognition has been widely used to extract characters contained in digital image media. The ability of OCR methods and techniques is very dependent on the normalization process as an initial process before entering into the next stages such as segmentation and identification. The image normalization process aims to obtain a better input image so that the segmentation and identification process can produce optimal accuracy. To get maximum results, it takes several pre-processing stages on the image to be used. To achieve this, it is necessary to perform Optical Character Recognition which can be done using Tesseract-OCR. The OCR program that was created was successfully used to scan or scan a quote text image if the document was lost or damaged, and it could save time for creating, processing and typing documents.

Classification of Maturity Levels in Areca Fruit Based on HSV Image Using the KNN Method

Frencis Matheos Sarimole, Anita Rosiana — Fri, 02 Sep 2022 00:00:00 +0700

Areca nut (Areca catechu) is a kind of palm plant that grows in Asia and Africa, the eastern part of the Pacific and in Indonesia itself, areca nut can also be found on the islands of Java, Sumatra and Kalimantan. At the stage of classifying the maturity of the betel nut so far, it is still using the manual method which at that stage has subjective weaknesses. Based on these problems, researchers will create a system that is able to classify the level of maturity of areca nut using HSV feature extraction with assistance at the classification stage using the KNN method. In this study, 842 datasets were used which were divided into 3 types of classes, namely ripe, unripe and old fruit. The dataset was divided into 683 training data and 159 test data. In the next stage, the data is tested using the K-Nearest Neighbor method by calculating the closest distance using k = 1. From the results of the calculation of the closest distance k1 produces an accuracy rate of 87.42%.

Kata kunci— Matlab, Areca Ripeness, KNN, HSV.

Prediction of Material Requirements For Vocational Practices Using The Monte Carlo Method (Case Study at SMK Dwi Sejahtera Pekanbaru)

Suandi Daulay, Rahmi Rahmi — Fri, 02 Sep 2022 00:00:00 +0700

Vocational High School (SMK), every practice always requires supporting materials. When the demand for these practice materials coincides between departments, so schools have difficulty in fulfilling them. The purpose of processing data on borrowing practice materials is to optimally meet the practical needs of the department. The data that is processed in this study is the data on demand for practice materials, data on practice needs and data on supply of practice materials. The data is processed using the Monte Carlo method with testing using PHP programming. The results of this study are predictions of the optimal practice material needs in the TKJ department and the materials that are needed and the amount of practice materials needed. 97% accurate. So that this research is very helpful in predicting the material needs of practice, this research is very helpful for the school in improfing services for student praticum.

Implementation of Data Mining Prediction Delivery Time Using Linear Regression Algorithm

Tri Wahyudi, Dava Septya Arroufu — Fri, 02 Sep 2022 00:00:00 +0700

In the current era of modernization, online shopping has become a habit of the people, and is closely related to freight forwarding services in charge of delivering online shopping items from the seller to the buyer. So that buyers need a fast and safe delivery service to ensure the goods sent on time to their destination. Customer satisfaction is one of the most important factors in the shipping business. However, there are several obstacles that occur in the field that cause delays in the delivery of goods. Therefore, one solution that can be used to overcome this problem is to use data mining technology to predict delivery times. Using 1,000 datasets consisting of 4 Attributes, data processing will be carried out with prediction techniques using the Linear Regression algorithm. By utilizing data when the goods are taken, when the goods are on the way, until they reach the buyer, they can produce forecasts or predictions and produce several analyzes so that in the future there will be no delivery delays. Based on the RMSE (Root Mean Square Error) value which serves to generate the level value the error of the prediction results using this method and in an RMSE value of 0.370 %. It can be concluded that using the Linear Regression algorithm is proven to be accurate in predicting delivery times.

Implementation of Data Mining Using K-Means Clustering Method to Determine Sales Strategy In S&R Baby Store

Tri Wahyudi, Titi Silfia — Fri, 02 Sep 2022 00:00:00 +0700

The S&R Baby Store store is a Small and Medium Enterprise (SME) that is engaged in baby equipment, but there is a lot of competition between small and medium enterprises (SMEs) who are engaged in the same field, so that many products sold are of course not all sold out, some are lacking. in demand. Therefore the S&R Baby Store store needs a good sales strategy in order to increase sales profit. This study discusses the application of data mining, using the K-Means Clustering algorithm with the CRISP-DM method. Implementation using RapidMiner 9.10 which is done by entering sales transaction data with a total of 4 attributes and forming 4 clusters consisting of very in demand, in demand, moderate in demand and less in demand. the second cluster with 944 products, the third cluster with 2 products, and the fourth cluster with 43 products. The results of the cluster above are the products sold are the best-selling product categories, then the results of the cluster are validated using the Davies-Bouldin Index with a DBI value generated from clustering of 0.560.

Ergonomic Risk Analysis of Musculoskeletal Disorders (MSDs) Using ROSA and REBA Methods On Administrative Employees Faculty Of Science

Achmad Nuzul Amri, Boy Isma Putra — Fri, 02 Sep 2022 00:00:00 +0700

In administrative tasks, computers really need help so they can get the job done quickly and efficiently. Computers in the administration department are managed by a job that runs continuously for eight hours. Improper work posture and posture can cause fatigue and discomfort at work. One of the influencing factors is the working posture and body posture during these activities. This study aims to reduce the level of risk gained by performing Rapid Office Strain Assessments (ROSA) and Rapid Entire Body Assessments (REBA) for clerical staff in engineering departments. Posture analysis data processing using the ROSA (Rapid Office Strain Assessment) method found that five of her employees surveyed were at risk levels and needed to be corrected immediately. The Rapid Entire Body Assessment (REBA) method shows that five employees are currently at risk of urgent needs and requirements.

Classification of Durian Types Using Features Extraction Gray Level Co-Occurrence Matrix (GLCM) AND K-Nearest Neighbors (KNN)

Frencis Matheos Sarimole, Achmad Syaeful — Fri, 09 Sep 2022 00:00:00 +0700

Durian is one of the most popular fruits because it has a delicious taste and distinctive aroma. It has different shapes and types, especially from thorns and different colors and has fruit parts that are also not the same as other parts. In terms of fruit selection, care must be taken because consumers generally still find it difficult to distinguish physically identified types of Durian fruit due to limited knowledge of the types of Durian fruit and require a relatively long time and accuracy in sorting. Therefore, there is a need for a method to sort the types of Durian fruit effectively and efficiently. Namely image segmentation based on the classification of the types of Durian fruit to help consumers. The method used is Gray Level Co-Occurrence Matrices for feature extraction, while to determine the proximity between the test image and the training image using the K-Nearest Neighbor method based on texture based on the color of the Durian fruit obtained. Extraction features using the GLCM method based on angles of 0°, 45°, 90° and 135°. Then the KNN method is used for the classification of characteristic results using K = 3. In this study, 1281 data training was used and 321 data testing was used, resulting in an accuracy of 93%.

Classification of Melinjo Fruit Levels Using Skin Color Detection With RGB and HSV

Dadang Iskandar, Marjuki Marjuki — Sat, 10 Sep 2022 00:00:00 +0700

This study aims to detect the ripeness of melinjo fruit using digital image method. Structured identification or division using image processing and computer vision requires the socialization of patterns based on training datasets. Melinjo (Gnetum gnemon L.) is a plant that can grow anywhere, such as yards, gardens, or on the sidelines of residential areas, as a result, produces melinjo into a plant that has relatively large potential to be developed. The process of image processing and pattern socialization is a highly developed research study. Starting based on the process of socializing an object, or a structured division of the object and about detecting the level of fruit maturity. The structured division process regarding ripeness into 3 classes, namely: raw, half-cooked and ripe where the process is carried out using Google Collaboratory which processes the RGB color space to HSV. In this study, the testing method for the system that will be used is a functional test where the test is carried out only by observing the execution results through test data and checking the functionality of the system being developed. The level of accuracy obtained from this study is 98.0% correct.

Classification of Booster Vaccination Symptoms Using Naive Bayes Algorithm and C4.5

Rudi Tri Jaya, Tri Wahyudi — Sat, 10 Sep 2022 00:00:00 +0700

Covid-19 is a respiratory infection that is transmitted through the air. The first case was reported on March 2, 2020, to be precise in Depok, West Java, Indonesia. To reduce the number of corona virus sufferers, the government has made various efforts including policies to limit activities outside the home, online learning, work from home, and even worship activities. To reduce the number of people infected with the Covid-19 virus, efforts are being made, one of which is the provision of vaccines. In this study, the types of booster vaccines are Pfizer and AstraZeneca. Due to the symptoms caused by the condition of the patient after vaccination, the researchers used the Naive Bayes Algorithm and C4.5 methods with attributes including gender, age, comorbidities (comorbidities), temperature, blood pressure, Covid 19 survivors > 1 month, pregnant condition, type of vaccine. primer and booster vaccine types which aim to get the highest accuracy value between the two algorithm methods which are tested using cross validation on the RapidMiner Studio tool. And obtained the Naive Bayes algorithm method with the highest accuracy value of 78.82%.

Keywords: Covid 19, booster, AEFI, Naive Bayes, C4.5, Rapid Miner

Classification of Edelweiss Flowers Using Data Augmentation and Linear Discriminant Analysis Methods

Fransiscus Rolanda Malau, Dadang Iskandar Mulyana — Sat, 10 Sep 2022 00:00:00 +0700

Edelweiss is a plant that grows at a height, and is known as a perennial flower because it has beautiful petals and does not wilt easily. Although edelweiss in Indonesia is still in the same family as Leontopodium Alpinum, it turns out that the type of edelweiss found in the mountains of Indonesia is different from edelweiss found abroad. Therefore, in this study, an image processing system was developed that can classify the types of edelweiss flowers based on their image using Linear Discriminant Analysis to classify data into several classes based on the boundary line (straight line) obtained from linear equations. In this study, the types of edelweiss flowers used in this study were Anaphalis Javanica and Leontopodium Alpinum, the two types of edelweiss flowers were distinguished based on their color characteristics using hue and saturation values. The images used are 1500 images for training data and 450 test data images with a training and test data ratio of 70:30, so that the accuracy produced in the testing process is 99.77% in the Linear Discriminant Analysis method.

Design of Appropriate Technology Based on Waste Treatment Equipment Using Value Engineering Method in Kedung Turi

Sultan Afli, Boy Isma Putra — Sun, 11 Sep 2022 00:00:00 +0700

The purpose of this research is to create a waste burner using raw materials from factory welding waste. The method used in this research is the value engineering method. In Gununggansir Village, there is an increase in waste, one of which is in Kedung Turi Hamlet, which is very significant, causing a buildup of garbage and inadequate waste management in Gununggangsir Village. This is an alternative that is made is an environmentally friendly waste incinerator. The process of making a garbage incinerator has the advantage of being environmentally friendly by using used goods that are not used and can still be used. In this research, what will be done is utilizing used goods that have value and function to achieve a target value. The result of using this used material is that it saves the cost of making Trush Burner which was originally worth Rp. 1,626,000 to Rp. 965,000.

Sign Language Detection System Using Adaptive Neuro Fuzzy Inference System (ANFIS) Method

Dadang Mulyana Iskandar, Mesra Betty Yel, Eka Maheswara — Sat, 17 Sep 2022 00:00:00 +0700

Sign language is a language that prioritizes communication with hands, body language, and lip movements to communicate. The deaf are the main group who use this language, often combining hand shape, hand, arm and body orientation and movement, and facial expressions to express their thoughts. The sign language detection system is designed using the Adaptive Neuro Fuzzy Inference System (ANFIS). This study uses data from the kaggle.com dataset, which is a site that provides research data on artificial intelligence. This study was conducted to recognize empty hand signals. Where it will help users naturally without any additional help. The test is carried out using a data set as evidenced by 1 display. In this process, The characteristics of the hand were carried out using the Histogram Oriented Gradient (HOG) method. Meanwhile, to separate it from the background image, it is used with color segmentation. The results of the process are then taken for classification. The classification process uses the Adaptive Neuro Fuzzy Inference System method. The results of the tests carried out for accuracy are as much as

Applications Know Preparation for Earthquakes for Elementary School Students

Sat, 17 Sep 2022 00:00:00 +0700

This research is entitled the application of recognizing preparation for earthquakes for elementary school students. The goal is to produce an application that can help students recognize preparation for earthquakes. The resulting application is made using Adobe Flash CS 6, and the Actionscript 3 programming language. This application can run well on Android smartphones, and personal computers/laptops. There were 20 students who were the subjects of this study, and they came from elementary schools Negeri 105270 Pujimulio, Deli Serdang, North Sumatra. Students who are tested beforehand (pre-test) their knowledge about preparation in dealing with earthquakes. After that students are asked to use the resulting application. After that, students are tested again for their knowledge (post test). So from the pre test and post test carried out, get test results that show an increase in students' knowledge in learningknow how to prepare for an earthquake.

Health Detection of Betal Leaves Using Self-Organizing Map and Thresholding Algorithm

Dadang Iskandar Mulyana, Ahmad Saepudin, Mesra Betty Yel — Sun, 18 Sep 2022 00:00:00 +0700

Betel leaf is one of the plants that is widely used as a natural or traditional medicine by the community, natural treatment with the use of plants is relatively safer. But there is a problem when we choose healthy betel leaves because of our mistakes in choosing which betel leaves are healthy and which are not. With this research the authors aim to detect healthy and sick betel leaves using data collection. Feature extraction used is the value of Red, Green, and Blue (RGB) and Hue, Saturation, and Value (HSV) to get the characteristics of the color image. Then the results of the feature extraction are used to classify the health of green betel leaves using the Self-Organizing Maps method. The green betel leaf data used is 1500 images for train data and 450 images for testing data are image test data, test data that produces an evaluation value with an accuracy value of 97.20% on the Self-Organizing Maps method.

Design of The Population Information System in The Village of Pajajaran

Irvan Nugraha, Falaah Abdussallam — Sun, 18 Sep 2022 00:00:00 +0700

Population or demography is the study of the dynamics of the human population. Demographics includes the size, structure and distribution of a population, and how the population changes over time as a result of births, deaths, migration, and aging. The current population system is still using the manual method, namely using the form provided by the Pajajaran Village, which is deemed less effective and efficient, therefore, there are often miscalculations of the number of residents when reporting to the Cicendo District, Bandung City. This study aims to analyze and design a population system. The design of this population information system uses PHP Native programming and MySQL Database Management System. With the existence of a web-based information system, it is hoped that it will facilitate the making of valid and not fictitious population reports

Smart Trash Bin for Management of Garbage Problem in Society

Aldiga Rienarti Abidin, Yuda Irawan, Yesica Devis — Thu, 29 Sep 2022 00:00:00 +0700

Along with the times, one of the environmental problems faced today is the waste problem. Every day humans will produce waste, both industrial waste and household waste in everyday life. Garbage will become an environmental problem because it can interfere with human health, cause bad smells and even air pollution. Poor waste management causes harmful and unhealthy environmental problems. Sometimes people are reluctant when they want to dispose of garbage by opening and closing the trash can so it is feared that they will get bacteria on their hands. The problem of environmental waste can arise from waste management that unites all types of organic and inorganic waste in the same place, making it difficult to recycle waste. Another problem is that sometimes the cleaners are negligent in emptying the full trash can, so it will cause a bad smell. Based on the above problems, it is necessary to make a smart trash bin which will later be able to sort out the types of organic and inorganic waste. The lid of the trash can will open automatically when someone wants to throw out the trash and it will close automatically when it's finished taking out the trash. With the waste sorting technology, it will automatically reduce environmental pollution by waste, and facilitate waste management so that it can be recycled again. To overcome the bins that are full for too long, if the trash is full, it will automatically notify the cleaners via Telegram messages. From the test results, it can be concluded that the ultrasonic sensor can detect if someone is approaching with a maximum distance of 50 cm so that the cover can be opened automatically for 7 seconds. The servo motor can rotate the waste sorter according to the type of organic or inorganic waste based on the detection results of the capacitive proximity sensor. The telegram message has been successfully sent if the garbage condition has been fully detected through the ultrasonic sensor. LCD can display the type of organic or inorganic waste accurately.

Application of Pregnant Mom's Diet Based on Raspberry PI Using Telegram Chatbot

Yuli Wahyuni, Fariz Ammar, Irma Anggraeni — Thu, 29 Sep 2022 00:00:00 +0700

A healthy and regular diet is needed to maintain the body's immunity, the benefits that can be used for mothers and fetuses to help in the growth and development of the fetus in the mother's womb so that the eating patterns that are consumed must have good quality and nutrition, because good diet can be increase the development of the fetus while in the womb, so it is necessary to make an application with the aim of providing information on a dietary pattern of raspberry-based pregnant women using the telegram chatbot. In this study using the Software Development Life Cycle (SDLC) method where this method has a plan in the form of planning, analysis (analysis), design (design), implementation (implements) and management (maintenance). The results of this study use the telegram chatbot as a medium of information that can be delivered easily because the working principle of the chatbot on the telegram has a button feature that makes it easier for user friendly-based use so as to reduce the system error. Users will get results in the form of a PDF document (information on diet, nutritional content, and examples of foods that can be consumed) or images of good solutions and nutrition so that they can be downloaded easily through mobile phones with a minimum specification in the form of Android and Notebook and Personal Computer (PC).

Detection of The Deaf Signal Language Using The Single Shot Detection (SSD) Method

Dadang Mulyana Iskandar, Mesra Betty Yel, Aldi Sitohang — Mon, 03 Oct 2022 00:00:00 +0700

Sign Language is a language that prioritizes manual communication, body language, and lip movements, instead of sound, to communicate. Deaf people are the main group who use this language, usually by combining hand shape, orientation and movement of the hands, arms, and body, and facial expressions to express their thoughts. Therefore, the researcher created an image recognition program in sign language using the Single Shot Detection (SSD) method, which is a convolution activity by combining several layers of preparation, by utilizing several components that move together and are motivated by a biological sensory system. The letters used in making sign language programs use the letters of the alphabet (az). This sign language detection programming that runs on the Google Collaboratory application

Optimization of Sentiment Analysis of Program Sembako(BPNT) Based on Twitter

Mon, 03 Oct 2022 00:00:00 +0700

Food Assistance Program (Program Sembako) is a development of the Non-Cash Food Assistance (BPNT) program which has been implemented by the Ministry of Social Affairs since 2017, namely of food assistance in the form of non-cash from the government which is given to Beneficiary Families (KPM) every month through an electronic account mechanism that is used only to buy food in food traders/e-warong in collaboration with banks. Twitter social media has now become one of the places to disseminate information about the Program Sembako/BPNT. This case study uses text mining techniques with the support vector machine (SVM), Naïve Bayes (NB) and K-Nearest Neighbor (k-NN) methods which aims to classify public sentiment towards the Program Sembako/BPNT on Twitter. The dataset used is tweets in Indonesian with the keywords “BPNT” and “Kartu Sembako” with a total dataset of 1,094 tweets. Text mining, transformation, tokenize, stemming and classification, etc. A useful technique for constructing sentiment classification and analysis. RapidMiner and Gataframework are also used to help create sentiment analysis to measure classification values. The results obtained by optimization using Particle Swam Optimization (PSO) using the support vector machine (SVM) algorithm and the accuracy value obtained is 78.02%, with a precision value of 78.73%, a recall value of 82.16%, and an AUC of 0.848

Analysis of Saving Electrical Load Costs With a Hybrid Source of PLN-PLTS 500 Wp

Zuraidah Tharo, Erwin Syahputra, Rahmad Mulyadi — Tue, 11 Oct 2022 00:00:00 +0700

Short-term and long-term energy needs and consumption in the provision and use of sustainable energy nationally, require strategic directions and steps to achieve. The strategic directions and steps are contained in the National Energy Policy (KEN) which has been stipulated in PP. 79 of 2014 concerning KEN. KEN is an implementation of the mandate of Law no. 30 of 2007 concerning Energy. Apart from being used as primary energy for power generation, NRE is also being developed as energy that is used directly by the user sector. At this time the type of EBT that is most widely used by users is PLTS, in addition to its simple construction and heat sources can be obtained anywhere, this is also the government's recommendation to achieve the PLTS development target. In fact, until now, consumers are still very less willing to use PLTS in meeting their electrical energy needs, this is due to several problems, including the high cost of PLTS construction, besides that the material costs are also relatively expensive. In this study, an overview of the calculation of how much cost can be saved or saved if the energy source used is a Hybrid between PLN and PLTS 500 Wp which is used alternately in supplying the electrical load of a simple house. with specifications of 2 solar panels of 250 wp each, 2 batteries of 100 Ah each, 130 solar panel control and 1300 watt inverter. The cost of electricity charges paid monthly before using PLTS Roof ranges from 300 to 400 thousand rupiah, After using PLTS Roof, the monthly electricity costs are 200 to 300 thousand rupiah, the average monthly savings is 100 thousand rupiah, if you take into account the investment costs will return in 1 year, the average material life of PLTS is around 20 years. The cost savings in electricity costs are around Rp. 22.800.000,- in 20 years. Economically, this value is still very small, but it has succeeded in saving electricity costs per month, and increasing the use of Renewable Energy

Telegram Implementation on Security and Monitoring of Home Door Keys Based on Wemos and Internet of Things

Bambang Kurniawan, Haris Tri Saputra — Fri, 14 Oct 2022 00:00:00 +0700

Good home security will make homeowners feel comfortable leaving the house. The existing home door security system still has weaknesses in certain types, for example for door locks using Radio Frequency Identification (RFID), if the RFID card is damaged, it will be difficult to unlock the door. The absence of a door lock monitoring system is locked or not when the user leaves the house will also reduce the user's sense of security and comfort. This study aims to improve the security of door locks by utilizing bots on the Telegram application installed on Smartphones as door lock controls and can make it easier for users to monitor the state of house door locks from anywhere with the concept of the Internet of Things. The telegram bot is used to send commands to open or lock the house door to the WEMOS D1 Microcontroller which then becomes the Actuator control in the form of a Solenoid Door Lock with a Relay as a connector. Thus the integration of the microcontroller and the Telegram application with the IoT concept can be a door security solution. However, it does not rule out the possibility of a security hole in the system created.

Damage Analysis of Lahat Roads – Fence Natural From Endikat Bridge To Go To Depati H. Duaji Lintas Street Pagaralam – Lahat

Sartika Nisumanti, Andy Kurniawan, Khodijah Al Qubroh — Fri, 14 Oct 2022 00:00:00 +0700

Roads have a very important role in human life. For the present and the future, in the era of industrialization, trade and public transportation, transportation of goods and services. This study aims to determine the type of damage that occurs on the pavement surface, pavement conditions and the necessary actions on the pavement conditions of the Lahat-Pagaralam section of the bridge from Endikat to the Depati H. Duaji road of Pagaralam-Lahat by using the Pavement Condition Index method ( PCI). There are 10 types of damage to the Lahat - Pagaralam crossing from the Endikat bridge to the Depati H. Duaji Lintas Pagaralam road, namely crocodile cracks by 20.39%, obesity by 3.95%, basins by 0.66%, curl by 0.66 %, edge cracks of 3.29%, longitudinal/transverse cracks of 5.26%, fillings of 55.92%, aggregate wear of 1.32, holes of 7.24% and grooves of 1.32%. The average pavement condition index (PCI) for the Lahat - Pagaralam section from the Endikat bridge to the Depati H. Duaji Pagaralam road section is 82.63% which is included in the Very Good category. The repair methods that can be carried out are the P2 (Local Asphalt Laburan) repair method, the P5 repair method (Hole filling) and the P6 repair method (Alignment).

Planning of Rigid Pavement Thickness in The Construction of The Sp. Door - Sp. Benakat Penungkal Regency Abab Lematang Ilir

Sartika Nisumanti, Lilly Julian, Khodijah Al Qubroh — Fri, 14 Oct 2022 00:00:00 +0700

The access section to Benakat Village, Pali Regency is a special road made by the company, with the condition of the existing land being unpaved with a length of 1,375 meters and a width of 7 meters, and has severe damage triggered by vehicles with excess capacity or ODOL (Over Dimension Over Load)) that pass through that path. The purpose of this study was to determine the results of the calculation of rigid pavement thickness planning by comparing the 1993 AASHTO and 2017 MDPJ methods so that the road Sp. Doors – Sp. Benakat is able to accommodate ODOL vehicles. This study uses AASHTO 1993 and MDPJ 2017 as methods to produce rigid pavement thickness (Rigid Pavement) so that ODOL vehicles can pass. Based on the results of data analysis and calculations, the input indicators in each method are different for each method so that AASHTO 1993 produces a thickness of 35 cm, and in MDPJ it produces a thickness of 28.5 cm

News Portal Website Measurement Analysis Using ISO/IEC 25010 And McCall Methods

Satria Budi, Windu Gata, Mohamad Noor, Supriadi Pangabean, Cicih Sri Rahayu — Mon, 17 Oct 2022 00:00:00 +0700

Information system is an asset for a company when the information system is managed properly. In the past, newspapers have become one of the main sources for people who want to get the latest news about what is happening around them. But now, the important role of newspapers is gradually being replaced by online-based news portals that can deliver news very quickly. PT Info Pena Indonesia itself utilizes an information technology in carrying out the process of managing and disseminating the news they produce with the help of a web portal called Jitunews. This research is quantitative in nature, namely explaining the use of survey methods by distributing questionnaires to users of the Jitunews news portal site for data about the characteristics of the ISO/IEC 25010 and McCall methods. The results of the research conducted on the backend and frontend pages show that the Jitunews website deserves a "Good" interpretation value. However, the security and functional suitability variables contained on the frontend page have the lowest values of all the variables studied, namely 74.43% and 77.50% with the interpretation of "Enough". This can be input for stakeholders to improve the quality of the website in order to increase user satisfaction with the Jitunews news website portal.

Hybrid Between PIECES Framework and Technology Acceptance Model (TAM) in Quality Testing Of Mobile Application Office Automation System (eKEMENKEU)

Ade Achmad Zulfahmi, Rifki Sadikin, Eni Heni Hermaliani — Thu, 20 Oct 2022 00:00:00 +0700

Digital transformation is a necessity that must be carried out by the government that provides public services. The success of digital transformation is to innovate the Office Automation System Mobile Application System (eKemenkeu application) based on Android/IOS to support simplification of business processes so that they can be easily accessed via smartphone devices. To get feedback on the quality of the eKemenkeu application, testing was carried out using the PIECES Framework and by selecting the Technology Acceptance Model (TAM) variable, as well as the Smart PLS 3.0 tool. The study analyzed 100 respondent data using 7 hypotheses with the results of 2 accepted hypotheses, namely H1 Original Sample value (0.335) and t-statistics (2.864) and H7 Original Sample (0.748) and t-statistics (10.401), and the second significance level is above 0, 05. Meanwhile, 5 hypotheses were rejected, because the t-statistic value was > 1.96 and the significance level of the p-value was below 0.05. The results of the Discriminate Validity test ranged in value (0.786 - 0.949). Composite Reliability ranges in value (0.828 - 0.949) or is accepted because it is above 0.7. Cronbach's Alpha range of values (0.721-0.920) or satisfactory > 0.7 .

T-BOT as an Effort to Overcome Speech Delay in Children

Zupri Henra, Akhmad Zulkifli — Tue, 25 Oct 2022 00:00:00 +0700

Speech is a developmental stage that begins in infancy. The speech stage must be considered as early as possible, because it can be used as a parameter or benchmark for the presence or absence of developmental disorders in children. Based on the results of the Observation and Research of Literature Studies conducted, speech delay or speech delay is a phenomenon that is often found in today's society, especially in the digital world as it is now. Based on the research obtained, parents (both father and mother) currently do not have quality time with their children because they are busy working and dominated by smartphones. Currently, there are many speech therapy practices, both opened independently by doctors and in hospitals. However, there are some parents who say that their children experience stress when they are brought to a therapy place because they feel threatened or afraid of the atmosphere in a therapy place that is foreign to them. There are studies that reveal that speech delay can also be done at home. The causes of speech delay are children who have too much screen time, are rarely invited to interact in two directions, and lack of stimulus from family or closest people.

The purpose of making T-BOT or (Talking Robot) is as an effort to overcome and can be speech therapy for children from the age of 1.5 years by inputting various vocabulary, compound sentences consisting of 2 words, 3 words to 1 structured sentences. The existence of this T-BOT will be the first alternative for parents to help provide speech therapy for children at home and of course children do not feel pressured and feel more comfortable playing while practicing their speaking skills with the T-BOT. The output produced is in the form of a robot that provides information in the form of voice in Indonesian as the mother tongue of our country. The child's speech development will also be evaluated to see how effectively the T-BOT is working.

Jurnal Implementation of IoT-Based Hydroponics for SLB Pembina Pekanbaru students

Yulisman Yulisman, Uci Rahmalisa, Khusnul Fikri, Arie Linarta — Tue, 25 Oct 2022 00:00:00 +0700

Special schools are special schools for children with special needs who aims to provide opportunities for children in obtaining education. SLB Pekanbaru Pembina State is a special education and special service (PK-LK) which has goals and targets to a) Produce students who are able to compete in this era of globalization globalization b) Produce students who are able to apply the utilization of science and technology optimally. This school handles students who have mental and physical limitations and intellectuals or called with disabilities, this school is located at Jalan Segar No. 46 Rejosari Village, Tenayan Raya District, Pekanbaru City, was founded by the Ministry of Education and Culture National Education in 1998, the Decree on the Appointment of the Pembina State SLB was issued by Minister of National Education No.13a/O/1998. On January 29, 1998, SLB Negeri The supervisor of Pekanbaru is currently led by Mr. Moelya Eko Suseno, S.Kom, M.TI, M.Pd. This school has teacher educators from graduates of Special Education (S1, S2 and even S3) the current number of SLB teachers is 55 people (all majors of visual impairment), administrative staff 7 people. For students from the level (SDLB, SMPLB and SMALB) totaling 367 people (all disabilities). The development of the Pekanbaru Pembina State SLB from year to year experienced an increase, especially in the students, then the infrastructure, facilities and infrastructure other infrastructure. This SLB is in accordance with its vision and mission to prioritize student independence, then the Pembina SLB program is prioritized on student skills. If in percentage then, Academic (30%) and Skills (70%). To achieve goals, targets, With this vision and mission, it is necessary to develop skills for SLB students. The problems contained in the Pembina State SLB Pekanbaru are: 1) The results of the Agricultural skills are not maximized, 2) Agricultural skills are not yet based on IT and 3) Lack of knowledge of teachers and students related to IT-based Product Marketing Management. Based on these problems, the solutions offered include: 1) Will be carried out guidance to increase students' knowledge in agricultural skills, 2) Will implement IoT-based Hydroponic plant cultivation and 3) provide

counseling, training and guidance to students how to do management marketing of products produced with IT.

Safety Application and Health Work (K3) At Department of CNC Lathe Using Hazard Identification Risk Assessment and Risk Control (HIRARC) Method (Case Study of PT. Swadaya Graha)

Iwa Pramudya, Deny Andesta, Hidayat Hidayat — Fri, 28 Oct 2022 00:00:00 +0700

Work accidents have the ability to cause the formation of every work activity. Aspects of work accidents can be caused by machines or aspects of worker negligence. The comfort of workers is highly dependent on the situation and the industrial area. One of the markers that need to be observed is occupational safety and health. So that the industry applies the K3 listed on PT Swadaya Graha which is currently still in a non-HIRARC condition as a basis for mitigation. The HIRARC procedure finds a procedure that starts to ensure the activity after which the source of the hazard is identified, risk assessment, and control over that exists and has the aim of remembering the level of risk associated with a place. From that case, the author thinks it is necessary to carry out an OHS risk assessment using the HIRARC procedure by carrying out research that aims to find out how to analyze the capabilities of hazards that can be carried out and their control on a cnc lathe machine at PT Swadaya Graha . The procedure used is the HIRARC (Hazard Identification Risk Assessment and Risk control) approach. The results of this research are that there are 5 work disaster hazard capabilities in the Ministry of CNC BUBUT. After that this research shows there is no. 1. extreme type of hazard. risk, and 1 high risk and 3 medium risk. The most common hazard abilities occur because of the lack of PPE and the undisciplined workers and not exploring work SOPs. Therefore, it is necessary to try socialization and continue to emphasize through daily safety briefings and safety signs.

Risk Analysis of the Packing Process at the Logistics Department of PT. XYZ used REBA method

Lutfan Nabil, Said Salim Dahda — Mon, 31 Oct 2022 00:00:00 +0700

PT. XYZ is a company that produces automotives and is one of the largest in Asia. PT. XYZ produces various types of springs, both leaf springs and conch springs which have been licensed from Mitsubishi Steel Manufacturing, Japan. Products from PT. XYZ will be exported to several countries such as the United States, Japan and India. In shipping can not be separated from the packaging process. In the packing process, it is found that the work posture is not good so that it can trigger complaints of Musculoskeletal Disorders. This study aims to determine the level of risk and work posture of workers. The method used is the REBA method, the results obtained in this study are with a grand score of 10 which indicates that work posture must be improved as soon as possible.

Proposed Improvement of Facility Layout in Production Area in Ud. Arshaindo Using the From To Chart (FTC) Method

Abdul Azis Alghushan, Mochammad Nuruddin, Said Salim Dahda — Mon, 31 Oct 2022 00:00:00 +0700

Small and medium industry engaged in fast food. Currently, the layout of the facilities at the production site is experiencing problems related to the distance of material movement. This study aims to redesign the layout of the facility and make suggestions to the trade business to minimize material movement to make it more comfortable and efficient. The method used in the process of redesigning the layout of the facility at UD. ARSHAINDO is to use the FTC (From To Chart) method. From To Chart is a method that can help to solve problems then described in more detail by going through several stages of completion to the maximum point. The results obtained from the From To Chart calculation with a total distance between departments of 36 meters (proposed layout), while the distance applied to UD. ARSHAINDO currently has a distance between departments of 56 meters (initial layout), therefore the proposed layout design has minimized the material transfer distance between departments by 20 meters so that it can produce a maximum layout and the production process is more efficient in terms of the distance between previous departments

Model of Inventory Planning Using Monte Carlo Simulation in Retail Supermarket with Consider To Competitors and Stimulus Strategies

Yuri Delano Regent Montororing, Murwan Widyantoro — Wed, 02 Nov 2022 00:00:00 +0700

Retail Supermarket is a retail company that provides various types of products to meet the primary needs of the community or people, such as food needs, various cleaning products, snacks, beverages, cosmetics, and many others. The growing retail business requires continously managed in retail company to work more effectively and efficiently in order to be able to face intense business competition so that business continuity can be maintained. The continuity of the company can be maintained if it is managed properly and has proper planning and control. Proper and careful planning followed by good control will continuously make the company's goal of achieving maximum profit achievable. This study will provide a proposal for inventory planning model using the Monte Carlo simulation method by paying attention to competitors and stimulus strategies, which can be used to predict sales for the next period so that the amount of inventory can be planned properly.

An Identification of Relationship Between Regional Development Level and Slums in Sidenreng Rappang Regency

Rika Riyanti Anwar, Ria Wikantari, Mahyuddin Mahyuddin — Sun, 04 Dec 2022 00:00:00 +0700

Sidenreng Rappang Regency, South Sulawesi Province was recorded to be ranked 2nd (second) as the regency/city with the highest slum area in South Sulawesi in 2020.The development of the Sidenreng Rappang Regency area as a strategic agribusiness center area with economic activity with high mobility and the increasing need for land for large-scale production facilities and housing development is suspected to have implications for the existence of this slum settlement. This study aims to identify the relationship between the level of regional development and slums in Sidenreng Rappang Regency. The research method used is a scalogram analysis on the variables of population, distance and travel time, educational, social, economic, health, and agribusiness support facilities in each village/urban village which produces the value of the Urban Village Development Index (IPK) and Village/Urban Village Hierarchy. Furthermore, the relationship between the development level and the slum area was identified through a Pearson Correlation between the IPK value and the village/urban village slum area. The results showed that the Village Development Index (IPK) with the percentage of slum area is not correlated or it can be concluded that the level of regional development has no relationship with the slums in Sidenreng Rappang Regency.

Design of Educational Game Tools Recognizing Body Members Using The Kansei Engineering Method

Nugraha Ramadhani, Ismu Kusumanto, Nofirza Nofirza — Mon, 05 Dec 2022 00:00:00 +0700

Education is very important in realizing a strong and advanced nation. So, the process must be carried out early. Therefore, Early Childhood Education is the main foundation for the development of a nation's generation. While the standards of Early Childhood Education are not evenly distributed, in fact, there are still many that are lacking, especially in the learning media of Educational Game Tools/Alat Pembelajaran Edukatif (APE). In this research, an Educational Learning Tool will be made in the form of a puzzle using the Kansei words and Kensei engineering methods. The results of this study indicate that the child's response is very good and very helpful in the learning process. The combination of the Kansei words and Kansei engineering methods produces a unique educational game tool that makes children more interested in participating in learning

Analysis of Twitter Sentiment Towards Madrasahs Using Classification Methods

Supriadi Panggabean, Windu Gata, Tri Agus Setiawan — Mon, 05 Dec 2022 00:00:00 +0700

In today's digital era, the influence and use of the internet has become a necessity, especially in Indonesia itself, internet users in early 2021 reached 202.6 million people. The most widely used internet use by Indonesians is social media. Several incidents of sexual violence that occurred in the madrasa environment as reported in the media, the emergence of radical Islamic issues which he said were the fruit of thoughts from the madrasa environment, terrorism which was also said to come from misinterpreting knowledge from madrasahs, intolerance to different religions, changes in the character of madrasah students and so on will cause negative thoughts towards madrasah. To find out how the sentiment of social media users towards madrasahs, a study was conducted on analisis twitter sentiment towards madrasah using the classification method. The methods used are Naïve Bayes (NB), Decision Tree (DT) and K – Nearest Neighbor (K-NN). Toimprove the performance of the classification method is carried out using the Particle Swarm Optimization (PSO) selection feature. On the other hand, tools gataframework, execute Python script dan rapidminer diguna kan jug a dalam penelitian this to membantu preprocessi ng dan cleansing pa da datasethingga membantu menciptaka n corpus dan sentiment ana lysis. Acuration obtained from the Naïve Bayes algorithm accuracy: 76.86% +/- 5.24% (micro average: 76.86%), Decision Tree accuracy: 61.38% +/- 5.46% (micro average: 61.35%), K-NN accuracy: 74.70% +/- 4.83% (micro average: 74.67%), Naïve Bayes PSO accuracy: 80.80% +/- 4.86% (micro average: 80.79%, Decision Tree PSO accuracy: 65.27% +/- 5.26% (micro average: 65.28%), and K-NN PSO accuracy: 67.24% +/- 7.92% (micro average: 67.25%). The results showed that the Naïve Bayes PSO algorithm got the best and accurate results. This study succeeded in obtaining an effective and best algorithm in classifying positive comments and negative comments related to sentiment analysis towards madrasahs by classification method.

Twitter Social Media Conversion Topic Trending Analysis Using Latent Dirichlet Allocation Algorithm

Musliadi K H, Hazriani Zainuddin, Yuyun Wabula — Tue, 06 Dec 2022 00:00:00 +0700

In Indonesia, Twitter is one of the most widely used social media platforms. Because of the diverse and frequently shifting message patterns on this social media, it is extremely challenging and time-consuming to manually identify topics from a collection of messages. Topic modeling is one method for obtaining information from social media. The model and visualization of the results of modeling topics that are discussed on social media by the Makassar community are the goals of this study. The Latent Dirichlet Allocation (LDA) algorithm is used to model and display the results of this study. The modeling results indicate that the eighth topic is the most frequently used word in a conversation. In the meantime, the 7th and 6th topics emerged as the conversation's core based on the spread of the words with the highest term frequency. The study's findings led the researchers to the conclusion that in the Makassar community's social media discussions, capitalization and visualization using the LDA method produced the words with the highest trend and the topic with the highest term frequency.

Implementation of Object Detection With You Only Look Once Algorithm in Limited Face-To-Face Times in Pandemic

Tue, 06 Dec 2022 00:00:00 +0700

Covid-19 has hit many countries in the world, including Indonesia. The rapid and deadly spread of Covid-19 reached Indonesia in early 2020. This pandemic of course had a detrimental impact on the Indonesian people in terms of health, economy, education and others. The Indonesian government certainly does not remain silent, the government is aggressively making efforts to break the Covid-19 chain in various ways, one of the efforts made is to continuously inform about the health protocols recommended by the government to prevent transmission. The Indonesian Ministry of Health (in Mardhia et al., 2020) Efforts that can be made in the prevention phase by each individual include: Wearing a mask, Wearing gloves, Using hand sanitizer/disinfectant, Washing hands with soap, Avoiding touching the face, Avoid shaking hands, Avoid gatherings or long queues, Avoid touching objects/object surfaces in public areas, Avoid taking public transportation, Maintain a distance of at least two meters from other people when outside the house, and If you show symptoms of illness, immediately notify the people around. Even though they have been informed about the prevention of Covid-19, the public tends to be negligent in implementing health protocols, one of which is the application of Social Distancing. Therefore, this study will create a distance detector using the YOLOv3 algorithm as one of the detection objects for the implementation of community activity restrictions

Development of Monitoring Tower Using Gyroscope Sensor Based on Esp32 Microcontroller

Al Imran, Muliaty Yantahin, Abd Muis Mappalotteng, Muh Arham — Wed, 07 Dec 2022 00:00:00 +0700

This research is a research and development research that aims to find out the results of the development of tower slope monitoring tools using the ESP32 Microcontroller-Based Sensor Gyroscope and find out the test results of the tool tower tilt monitoring using the ESP32 Microcontroller-Based Gyroscope Sensor. The development model used in this study is a prototyping model with stages of collecting needs, building prototypes, evaluating prototypes, coding s i stem, testing sistem, evaluation sistem, use s istem. The data used are interviews, questionnaires, observations and measurements. The data were analyzed using descriptive statistical analysis techniques. Based on the results of this study, a prototype of a tower slope monitoring tool was produced that was used to monitor the slope of the tower remotely through the telegram application. From the test results of the tower tilt monitoring tool using the MPU6050 gyroscope sensor based on the ESP32 microcontroller, it was found that the average time it takes to receive notifications if they occur the slope is 3.21 seconds. The results of the pecan test n there is a difference in the angle read at a height of 1 meter is 0.3 degrees, a height of 2 meters 0.2 degrees, a height of 3 meters 0.22 degrees, and a height of 4 meters 0.18 degrees. The results of the functional suitability test show that the tool functions as designed. The usability characteristic of the tower slope monitoring tool gets an average score of being included in the excellent category.

Development of Service Mail Management Information System as a Supporting System for Calculating Recapitulation of Remuneration Performance Points at Universitas Negeri Makassar

Al Imran, Haripuddin Haripuddin, Sanatang Sanatang, Muhammad Hasan Z — Wed, 07 Dec 2022 00:00:00 +0700

This research is research and development (R&D) which aims to produce an official letter management information system, a supporting system for calculating remuneration performance point recapitulation at Makassar State University. Application testing uses ISO/IEC 25010. This study uses the Waterfall development model consisting of five work steps, namely analyzing needs, conducting design, coding, testing and maintenance. The developed system is validated by two system experts, and two content or material experts. The data were collected using questionnaires, interviews and documentation as supporting data for the development of information systems. Data processing uses qualitative and quantitative descriptive analysis techniques. The test results prove that the official letter management information system that has been built meets ISO/IEC 25010 testing standards with the results of testing the functionality suitability aspect in the very decent category. Aspects of performance efficiency with good criteria, aspects of usability with very good category, security aspects obtained level 1 security is at low level criteria with sufficient information. Achievements in the reliability aspect have met Telcordia's testing standards. The maintainability aspect has met three Land testing standards. The compatibility aspect is very feasible and the portability aspect is in the very good category.

Analysis of Kenaf Farmer’s Satisfaction With Conventional Fiber Machine

Desrina Yusi Irawati, Elisabet Junita, Agrienta Bellanov — Thu, 08 Dec 2022 00:00:00 +0700

The Kenaf plant is a multipurpose plant because the application of its bark in the industry is very high. Indonesia has the largest kenaf plantation in Laren, Lamongan, East Java. The kenaf farmer group in Laren has used a conventional fiber machine to assist in slicing the kenaf stalks. Conventional fiber machine operated by hand. However, the fiber machine is not a priority for farmers to do weeding because the device still has many shortcomings. Therefore, it is necessary to assess the satisfaction of the kenaf farmers with the tool. This study uses the IPA-Kano method to analyze the design attributes of the conventional fiber machine to improve the quality attributes. It determines its user's performance, expectations, satisfaction, and dissatisfaction. According to the integration analysis of the IPA-Kano method, the conventional fiber machine needs to have a more robust frame, better support for the kenaf rods, the ability to leave a small amount of fiber in the kenaf sticks, good ergonomics, the ability to change the height, less fiber left at the cracker joint, and better cracker settings.

Application of Decision Support System For Employee’s Bonus Using Analitycal Hierarchy Process Method

Devi Yuliana, Fitri Ayu, Ibnu Mas’ud, Fuji Hidayat, Silmi Alfadri — Thu, 08 Dec 2022 00:00:00 +0700

Having the best employee selection decisions on the CV. Multi Citra Agung, the writers assisted the company employing a method by developing a waterfall system. The method was carried out through this research process by designing stages of the Unified Modeling Language (UML) system. The occurred problems found were decisions that were not as expected and the lack of an objective attitude in decision making, due to the absence of a special process for evaluating employees in awarding bonuses of Multi Citra Agung by still using conventional systems. The study was conducted to select employees who are entitled to bonuses using the Analytical Hierarchy Process (AHP) method. A multi-criteria decision making process is to determine the best choice of a number of alternatives for employee performance appraisal based on attendance, discipline, communication and employee performance. The results of this research give the best ranking of employees by displaying an assessment of 6 employees in the form of criteria, total value and information of employees who are entitled to a bonus. For employees who are entitled to get a bonus which is 1 employee who fulfills a very satisfactory level with a range of 0.28 - 0.50.

Finite Element Analysis and Fabrication of Voronoi Perforated Wrist Hand Orthosis Based on Reverse Engineering Modelling Method

Zakki Fuadi Emzain, Nanang Qosim, AM. Mufarrih, Syamsul Hadi — Thu, 08 Dec 2022 00:00:00 +0700

Other than surgery, post-stroke spasticity, fractures due to accidents, sports injuries, and musculoskeletal disorders due to office work on the wrist can be treated using a wrist-hand orthosis. The customized conventional methods usually have some drawbacks, which are more expensive, take a long time to manufacture, and require expert skills from medical therapists. The presence of reverse engineering (RE) technology can be applied in the medical field, such as the manufacture of prosthetic or orthosis devices. This study aims to develop a reverse engineering-based wrist-hand orthosis design, analyze it using the finite element method, and fabricate it. Research methods included 3D scanning, CAD modelling, model analysis, 3D printing, and postprocessing. The model material used was PLA with variations in the thickness of 5 mm, 5.5 mm, and 6 mm, and the load values range from 0 N to 30 N. The results of the equivalent stress analysis showed that the 5 mm thickness model could withstand a load of 30 N with a maximum equivalent stress of 23.46 MPa. With a safety factor value of 2.56, it was still relatively safe, and a critical area was at the back end of the model's palm between the thumb and index finger. The equivalent elastic strain and deformation results also had the same graphic trend with the maximum values for the same model, which were 0.0076 mm and 0.614 mm, respectively. The 3D printing FDM result showed that the Voronoi perforated wrist-hand orthosis prototype was sturdy, fit, and comfortable. It is expected to hold muscle tone and immobilize for hand rehabilitation.

Application of Fuzzy Mamdani Logic in Determining Teacher Performance To The Learning System at Public High School 6 Bengkulu Middle

Kms.Muhammad Apriyansah; Maryaningsih Maryaningsih; Indra Kanedi — Thu, 08 Dec 2022 00:00:00 +0700

Nowadays, the process of assessing teacher performance at State High School 6 Bengkulu Middle is still manually, namely by filling in the scores on each criterion consisting of 14 competencies, then the values are added together to get the final result of the teacher performance assessment. However, this takes quite a long time, besides that the assessment of teacher performance is only by looking at teachers who are active in various fields in the school. The application of teacher performance in State High School 6 Bengkulu Middle can help provide the results of teacher performance assessment of the learning system in schools through a fuzzy Mamdani logic approach. The application of teacher performance to the learning system at State High School 6 Bengkulu Middle was created using the Visual Basic .Net programming language and SQL Server 2008r2 Database. Based on the black box testing that has been carried out, it was found that the functionality of the teacher performance application to the learning system at State High School 6 Bengkulu Middle went well as expected and was able to analyze teacher assessment data through the Fuzzy Mamdani Method to determine teacher performance against the learning system in schools

Communication Activities on the Implementation of E-procurement in Indragiri Hulu Regency

Muhd Ar. Imam Riauan, Yerli Sitanggang, Zeti Azreen Ahmad — Thu, 08 Dec 2022 00:00:00 +0700

This study aims to understand communication activities in implementing E-procurement in Indragiri Hulu Regency. This research is interesting in understanding communication activities in the implementation process in frontier, outermost, and underdeveloped (3T) regions. E-Procurement is an application for managing goods/services procurement data, including internet-based procurement data, designed to achieve an effective, efficient, and integrated procurement process. This research is qualitative research to explore communication activities in implementing E-Procurement. The subjects of this study amounted to 8 people involved in the Implementation of e-procurement. Data analysis was carried out in three steps: data reduction, data presentation, and conclusion. The study results show that communication activities occur in 4 stages of the auction process carried out by the Electronic Procurement Agency. This process involves regional apparatus organizations in Indragiri Hulu Regency with suppliers who provide goods and services registered in the electronic procurement system in Indragiri Hulu Regency. The process of procuring goods starts with a proposal process from each Regional Apparatus Organization based on their respective Performance Plans to carry out the bidding process. The auction process is carried out by a working group team formed by the Head of LPSE, which suppliers of goods and services will follow. The Working Group team will evaluate the documents proposed by the supplier and determine the tender winner.

Educational Game as An Effort to Accelerate Learning After The Covid-19 Pandemic

Khairul Umam Syaliman, Nina Fadilah Najwa, Jan Alif Kreshna — Thu, 08 Dec 2022 00:00:00 +0700

The Covid-19 pandemic that occurred forced us to carry out the learning process through the internet network (online or online). Learning carried out online creates many problems, so it is considered ineffective and causes learning loss. Various methods have been taken to overcome this learning loss, including collaborating with various parties and issuing various regulations. In addition, teachers are also required to provide a new spirit in creating and innovating to provide effective, efficient, and competitive learning media. One way is to do educational game-based learning. Educational games are considered adequate for overcoming learning losses because learning media with educational games require players to participate in determining outcomes, have an entertainment side, and can increase creativity and problem-solving skills. The planned research method stages for collecting the required data are observation, interviews, and literature study. As for the development of educational games in this study, the prototype development method will be used. This study's result is that the Educational Game design has produced output that meets the needs. In future research, when this design is implemented, it is hoped that it will be an alternative medium for accelerating post-pandemic learning.

Analysis And Implementation of Simple Queue and Queue Tree Methods For Optimizing Bandwitdh Management

Muhammad Ibrahim Nasution, Febria Rahim, Habib Alfarizzi — Thu, 08 Dec 2022 00:00:00 +0700

This study analyzes the Simple Queue method with Queue tree using a Mikrotik Router to perform Bandwidth management. Both of these methods will be tested using the parameters of Quality of Services ( QOS ), namely throughput, delay, jitter and packet loss. The results of the analysis of the Quality of Services will be compared with weighting based on the TIPHON standard, then the results of the analysis will be tested using the wireshark application . The results of the analysis of these two methods, the Simple Queue method is more suitable because it gets a higher value based on the TIPHON standard. Therefore it is recommended to use Bandwidth management using the Simple Queue method

Management Information System Implementation Doyan Drinks Using K-Means

M Ridho Ramadhan, Yusuf Ramadhan Nasution, Aninda Muliani Harahap — Mon, 12 Dec 2022 00:00:00 +0700

Technological developments are currently very influential in business collaboration, to be precise in Doyan's drink, Doyan is a local beverage brand that has difficulty determining franchise partnerships to determine the type of package in the strategy of location, area, and facilities of prospective franchisees, by implementing a Management Information System on Doyan can determine the type of franchise based on the required criteria, this study uses the Waterfal method in designing management information systems and uses the K-Means algorithm in determining the type of franchise that suits the needs of the candidate. K-Means functions to cluster the franchise type criteria data that will produce the closest value so that the output can choose and determine the more appropriate type of franchise package, and the store can manage product sales, stock, and attendance at all franchise branches

Online Attendance System Website-Based at The Village Hall Office Paya Bakung Using The Waterfall Method

Silvia Sindi Ramadani, Heri Kurniawan, Rian Farta Wijaya — Mon, 12 Dec 2022 00:00:00 +0700

Attendance is a system for recording employee attendance which is carried out in every agency, including government agencies. The Paya Bakung Village Hall Office still applies a manual attendance system so that the recording of employee attendance activities is still relatively minimal. Performing the attendance process manually takes a long time to record incoming hours, outgoing hours, or recap employee attendance reports. From these problems, the author designs and builds a computerized attendance system that can record all attendance activities of employees. Each employee has their own account that can be accessed through the employee's device. Employees can do absent entry and absence every day. The admin records all absent data entered by employees. The web-based attendance system in this study was created using the waterfall method consisting of Requirement Analysis, System and Software Design, Implementation and Unit Testing, Operation and Maintenance. This attendance system provides great benefits for the Paya Bakung Village Hall Office

Analysis of Nagari Management Information System Evaluation (SIMNAG) Using PIECES and UAT Methods

Jefril Rahmadoni, Ricky Akbar, Rafiqatul Ulya — Mon, 12 Dec 2022 00:00:00 +0700

SIMNag (Nagari Management Information System) Kamang Mudiak is an information system in the nagari Kamang Mudiak. The SIMNag includes the Andalas University Service Team's web-based nagari management information system. The SIMNag menu includes a Nagari Profile, which includes information about the nagari symbol, vision and mission, organizational structure, government history, nagari history, maps of the nagari, nagari achievements, legal products, and nagari potential wealth. Furthermore, information about public information is provided, specifically nagari news related to the 11 pillars of Nagari Tageh, which include tags for health, education, food, economy, faith, bundo kanduang tags, mudo paga nagari tags, and information-based tags Digital bills, disaster bills, security and social disease bills, and law bills are all examples of bills. The developer of this application's distinctive feature, in addition to the nagari tageh feature, is the convenience feature for nagari residents to input or update their own personal and family data online. As a result, data on nagari Kamang Mudiak residents will always be updated without the need to wait for the nagari apparatus to do so. Furthermore, residents at this SIMNag can file complaints with the nagari government about anything that occurs in the vicinity of the population. It is necessary to assess the SIMNag. It is necessary to evaluate the SIMNag that has been built in order to determine the feasibility of the SIMNag application in facilitating community services. This research employs two approaches: PIECES (Performance, Information/Data, Economy, Control, Efficiency, and Security) and UAT (User Acceptance Testing). The research results in an evaluation of the system that was built, namely the nagari information system (SIMNag) in the Nagari Kamang Mudiak.

Communication Patterns on Implementation of E-Planning in Rokan Hilir Regency

Muhd Ar. Imam Riauan, Nanang Dwi Cahyono, Aini Maznina A.Manaf — Wed, 14 Dec 2022 00:00:00 +0700

A communication pattern is a procedure that may describe a stage of communication that takes place inside a particular communication context. This stage of communication can take place everywhere communication takes place. The process of communication may be understood by looking at communication patterns. The pattern of communication that was utilized in the process of putting e-planning into action in the Rokan Hilir district was the subject of this study. The research technique employed in this investigation was a qualitative research method, which involved summarizing the findings of research conducted in the field. There were a total of eight persons included as participants in this study. Five informants from Regional Apparatus Organizations act as Heads of Program Subdivision in Rokan Hilir Regency, in addition to 1 key informant who is the head of BAPPEDA of Rokan Hilir Regency Head of Program Subdivision. According to the findings of this research, Communication Pattern is utilized throughout the e-planning process with a mentorship program at each phase of the procedure. SIPD is utilized throughout the communication procedure to guarantee that each proposal gets entered into the system. The Regional Head, the Regency DPRD, Regional Apparatus Organizations, Community Apparatus Organizations, and the Community all participate in the coordination process. The community functions as a hub for communication and the generation of ideas, which in turn serve as the foundation for development projects that will be carried out in the Rokan Hilir Regency.

The Implementation of Deep Learning Techniques in Developing Conversational Chatbot as The Source of Vaccination Information

Yuliska Yuliska, Nina Fadhilah Najwa, Khairul Umam Syaliman — Wed, 14 Dec 2022 00:00:00 +0700

The Covid-19 pandemic has hit Indonesia for more than 2 years. To overcome Covid-19, Indonesian government implemented a vaccination program with a target of 70% of the population being vaccinated. However, the recorded population that has been vaccinated to reduce the risk of being exposed to Covid-19 is still low. Several studies have stated that information and invitations to vaccines through mass media are considered insufficient to convince the population to vaccinate. Residents who are still unsure and do not even want to vaccinate need really comprehensive information from experts. To answer this problem, a chatbot that can replace experts in explaining everything related to vaccines can be one solution. This is evidenced by a study which states that the interaction between people who have not been vaccinated with a chatbot that explains about vaccination can reduce the level of doubt of the population about the vaccine by up to 20%. The purpose of this research is to build a chatbot using deep learning technique. Meanwhile, the deep learning technique used to build a conversational chatbot is the Multilayer Perceptron Network (MLP). Based on the result of our study, our chatbot can answer 83% questions correctly out of 30 questions.

Measurement and Analysis of Tourism Website User Experience Using Usability Techniques

Rika Perdana Sari, Silvana Rasio Henim — Wed, 14 Dec 2022 00:00:00 +0700

A tourist destination is a geographical area within one or more administrative areas in which there are tourist attractions, public facilities, tourism facilities, accessibility, and communities that are interrelated and complement the realization of tourism. A website is a form of communication media that can provide certain information, which can be accessed by many people anytime and anywhere. The Regional Government (pemda) of Pekanbaru City has provided tourism information services in the form of tourist destinations and tourism activities on the website. Based on the results of preliminary observations made on the tourism website of the Pekanbaru City government, it was found that the tourism information provided was not up to date, and there were still many tourist objects in Pekanbaru that had not been published, so the information delivery process was not optimal and ineffective. The effectiveness of using the website must pay attention to usability of its use. Usability is a quality level of a system that is easy to learn, easy to use, and encourages users to use the system as a tool in completing tasks. Usability can be measured based on the quality of the user experience when interacting with the system operated by the user himself. Usability measurement on this tourism website is carried out using the System Usability Scale (SUS) measurement tool. Based on the measurement results using SUS, a score of 65.87 was obtained, where 10 of the statement items were declared valid and reliable. The score obtained shows that in terms of user satisfaction, it is stated to be included in the Marginal High category, predicate D with the adjective range Ok. This shows that the user's subjective assessment illustrates that the Pekanbaru City government's tourism website is less effective, efficient, and satisfying for users.

Views on Deep Learning for Medical Image Diagnosis

Irohito Nozomi, Febri Aldi, Rio Bayu Sentosa — Wed, 14 Dec 2022 00:00:00 +0700

Deep learning models are more often used in the medical field as a result of the rapid development of machine learning, graphics processing technologies, and accessibility of medical imaging data. The convolutional neural network (CNN)-based design, adopted by the medical imaging community to assist doctors in identifying the disease, has exacerbated this situation. This research uses a qualitative methodology. The information used in this study, which explores the ideas of deep learning and convolutional neural networks (CNN), taken from publications or papers on artificial intelligent (AI) Convolutional neural networks has been used in recent years for the analysis of medical image data. CNN's development of its machine learning roots is traced in this study. We also provide a brief mathematical description of CNN as well as the pre-processing process required for medical images before inserting them into CNN. Using CNN in many medical domains, including classification, segmentation, detection, and localization, we evaluate relevant research in the field of medical imaging analysis. It can be concluded that CNN's deep learning view of medical imaging is very helpful for medical parties in their work

Model of Web-Based Application “Glide” As Learning Media and Knowledge Sharing Tool of Teachers in Post-Pandemic Era

Ryan Oktapratama, Dylmoon Hidayat — Wed, 14 Dec 2022 00:00:00 +0700

One of the adaptations that are being carried out in schools in Indonesia in the post-pandemic era is the implementation of online learning models and mixed learning. However, the challenge that arises is that for teachers today more effort is needed to create activities that can be used in this new situation. One application that can accommodate the need to store various types of teaching materials from all teachers in various schools is a web-based application such as Glide. The purpose of this study is to analyze whether the Glide web-based application can be applied as a learning medium and a means of sharing knowledge for teachers in the post-pandemic period. The research method used is qualitative with the development of problem solving methods of linking. The results showed that Glide can be used as a learning medium and a means of sharing knowledge for teachers in the post-pandemic period with some notes. First, the school or teacher must design it so that the contents of the application focus on the collection of teaching materials. Second, the manipulative ability of learning media cannot be obtained through the Glide application. Third, schools need to develop plans so that the implementation of this application can run effectively.

Portable Coolbox Design For Milk Storage

Wed, 14 Dec 2022 00:00:00 +0700

The SN Multi-Business Cooperative (KSU) was founded in 2011 in Semarang Regency. This cooperative operates in the storage of pure cow's milk with a total of around 300 milk farmers located around the cooperative. The problem that often arises is the dependency on receiving milk by the milk factory. Milk that has been sent to the dairy factory can be rejected by the milk factory for various reasons. In the field of marketing, KSU SN established a business entity with the name CV MSN which is located on Jalan Tirto Agung, Semarang. Product delivery logistics activities have so far been carried out with four-wheeled vehicles and using two-wheeled vehicles. To transport milk, each driver uses a bag or styrofoam which is used to transport milk products. Apart from being impractical, the transport process is messy, and the milk temperature cannot be maintained. To overcome this problem, milk transport boxes are designed to be able to transport milk more effectively, maintain product temperature, be ergonomic and increase the capacity of milk that can be distributed because previously they used boxes made of cork or styrofoam. This motorbike will be equipped with a milk storage device in the form of a detachable cooler box or a portable cool box. In this design the anthropometry or body dimensions used are the forward span with the 50th percentile so that all workers can use this tool. with the portable tolbox design, increasing the duration of milk storage time from 8 hours to 24 hours so that marketing and sales departments can take longer to distribute milk products and distribute more capacity

Comparison of Lighting Efficiency (Led-CFL) based on Environmentally Friendly Technology

Siti Anisah, Rahmadhani Fitri, Zuraidah Taro, Rian Farta Wijaya — Thu, 15 Dec 2022 00:00:00 +0700

Light bulb waste is categorized as non-organic waste which cannot be decomposed in nature and has the potential to damage the environment. Currently the production of light bulb waste reaches 4.50% of the total waste production per day. These conditions require a solution to reduce the amount of waste produced by light bulbs. This paper aims to discuss the recycling technology used for light bulb waste, so that the waste can be reused as recycled and environmentally friendly lighting lamps. The method used in this study refers to an environmentally friendly concept, namely, designing lighting lamps using waste light bulbs that are no longer used. The design product is designed exactly the same as the previous product from the manufacturer, then proceed with testing in the laboratory to determine the electrical parameters and the amount of lumens produced. From the results of the research conducted, it can be seen that the results of the design of recycled lighting lamps have a decrease in lumens value for CFL types by 7%, LED by 8%, the durability and lifespan of light bulbs are reduced by CFL types by 32%, LED types by 30%, the results of the design recycled

LTE Optimization Using The Electrical Tilt Method At The Mandau Site

Mhd Azwar Taruna, Mulyono Mulyono, Rika Susanti, Sutoyo Sutoyo — Thu, 15 Dec 2022 00:00:00 +0700

Long Term Evolution (LTE) has high-speed data access of 300 Mbps on the downlink and 75 Mbps on the uplink. The area of ??the Mandau site is located in the town of Duri-Bengkalis, Riau. In this study, a network optimization was carried out on one of the providers. From the results of the drive test conducted, a problem was found, namely throughput quality which was in very bad condition. Therefore, a network optimization simulation was carried out using the Electrical Tilt method in order to overcome the problem of unstable throughput conditions. Simulation of the application of this method is carried out using Software Atoll. The results obtained after optimization with the value on Jalan Obor 2 increased to 19,000 kbps (normal), on Jalan Obor 1 increased to 50,000 kbps (very good), on Jalan Bandes increased to 50,000 kbps (very good), on Jalan Swadaya increased to 50,000 kbps (very good) and on Jalan Hangtuah increased to 50,000 kbps (very good).

Sales Mobile Application Design in Handphone Store

Nanang Nuryadi, Bibit Sudarsono, Ayuni Asistyasari, Nuryanti Nuryanti — Thu, 15 Dec 2022 00:00:00 +0700

In the current era of globalization, technology is advancing rapidly, and computers are one of the technologies which are one of the tools used to make it easier to find problems, of course, it is also supported by hardware, software and brainware. Mobile stores require an information system that supports and provides satisfactory service to buyers. For this reason, the author makes this final project regarding the program for selling cellphones at the cellphone store which currently does not use a computerized system. The system at the cellphone store usually still uses a manual system. Starting from recording sales notes to bookkeeping sales reports that are still recorded in the books. This can allow for errors in recording, ineffectiveness and inefficient calculations in large numbers. And can cause inaccurate reports made. The use of the program is one solution to solving sales problems in the cellphone store. Therefore, with the use of a sales program, it is possible to further assist sales activities in the cellphone store.

Analysis of E-Library Based on Level of User Satisfaction Using EUCS and IPA Methods

Fri, 30 Dec 2022 00:00:00 +0700

technology, namely the use of e-Library as an online catalog facility to directly access collections of books, theses or other collections contained in the library. This research is based on the fact that users feel dissatisfied with the services provided by the e-Library, such as collections and collection information that do not meet user needs. The purpose of this study was to measure the level of satisfaction of e-Library users using the End User Computing Satisfaction method with five perspectives namely Content, Accuracy, Format, Ease of Use, and Timeliness. The Impotance Performance Analysis (IPA) method is used to determine which attributes are important to be improved and which need to be reduced to be interpreted in the form of a matrix. This study also calculates the value of Customer Satisfaction Index (CSI) to determine the overall level of user satisfaction. The results of this study show that all attributes in terms of Importance are in a very important category, while the Performance attributes are in the satisfied category, namely the Content and Format variables. Variables with quite satisfied categories on Accuracy, Ease of Use and Timeliness variables. The results of the IPA matrix obtained 6 attributes with the most improvement in the Accuracy variable, the attribute with the most good performance in the Content variable. Overall, the CSI value is 60.34%, which means that users are quite satisfied with the performance provided by the e-Library

Instrument Readiness Analysis of Technology-Based Businesses

Astri Ayu Purwati, Muhammad Luthfi Hamzah — Fri, 30 Dec 2022 00:00:00 +0700

Digital technology is currently highly developed in all fields. The development of this technology certainly has a big impact on the world of business and industry. This study tries to prove the effect of instrument readiness in developing technopreneurship abilities in students. The readiness instrument variables used are Capital Thourgh, Information and Social Network. The study was conducted on 150 students who have technology-based businesses (technopreneurs) as samples. The data analysis technique used is the structural equation model with the help of Smart PLS. The results showed that Capital Through did not have a significant effect on technopreneurship, but Information and Social Networks had a positive influence on technopreneurship. In addition, the Social Network is able to encourage a technopreneur to make it easier to obtain information related to business development.