Design of An Automatic Temperature Recorder for Fishery Vessels Using Internet of Things Technology


  • Hadi Purwanto Jakarta Technical University of Fisheries, Ministry of Marine Affairs and Fisheries of Republic Indonesia
  • Maman Hermawan Jakarta Technical University of Fisheries, Ministry of Marine Affairs and Fisheries of Republic Indonesia
  • Chandra Nainggolan Jakarta Technical University of Fisheries, Ministry of Marine Affairs and Fisheries of Republic Indonesia
  • Berbudi Wibowo Jakarta Technical University of Fisheries, Ministry of Marine Affairs and Fisheries of Republic Indonesia



Fish Quality, EU Export, Automatic Temperature Recorder, Internet of Things


Fishery products, especially capture fisheries, must be safe and high-quality. The treatment of captured fish from capture to consumption is crucial to maintaining its quality. Temperature impacts fish quality. Fish putrefaction can be prevented at a specific temperature. Maintaining optimal fish quality requires temperature monitoring at the holding hatch of fish captured on board. Indonesia requires hatches with fish storage to have automatic temperature recorders and monitors. Inspections by authorities who issued certifications of acceptable fish handling practices found many breaches on Indonesian fishing vessels without automatic temperature monitoring systems. Indonesian fishery exports to the EU have been rejected due to the lack of automatic temperature recording systems on fishing vessels. Existing automatic temperature recording equipment for fishing vessels does not meet technical and legal requirements.  The lack of autonomous temperature monitoring devices on fishing vessels was solved via design thinking in an exploratory study. Thus, fishing vessel temperature recording devices were designed using Internet of Things technology. Literature is utilized to choose resources. Hatch temperature recorder, MAX 31865 module, and PT100 thermocouple sensor use ESP 32 as a microprocessor. Raspberry Pi4 controls, displays, and stores data. This fish hatch temperature recorder has a GPS module for coordinates. This utility manages display and storage with Home Assistant software. Commercial low-temperature recorders are utilized for comparison testing. Before calibration, the pesuotokapi tool had a variance coefficient of 9.39%, whereas the comparison tool had 12.09%. The pesuotokapi tool has a coefficient of variation of 11.96% after calibration, whereas the comparison tool had 13.28%. The pesuotokapi tool regularly yields a lower coefficient of variation than the comparison tool. This shows that the pesuotokapi tool generates data with less divergence from the average recorded temperature than the comparison tool. Pesuotokapi devices regularly outperform comparator devices in temperature before calibration, improving fish hold quality.


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Abdullah, A., Saad, F. S. A., Ahmad, Z. A., Sudin, S., Kamaruddin, K., Bakar, M. A. A., Ajit, M. I. M., & Ghazali, F. (2018). Development of ESP32-based Wi-Fi Electronic Nose System for Monitoring LPG Leakage at Gas Cylinder Refurbish Plant. In 2018 International Conference on Computational Approach in Smart Systems Design and Applications, ICASSDA 2018.

Akbari, N., Failler, P., Pan, H., & Drakeford, B. (2023). The Impact of Fisheries on the Economy?: A Systematic Review on the Application of General Equilibrium and Input – Output Methods. su15076089

Akhmetzhanov, B. K., Gazizuly, O. A., Nurlan, Z., & Zhakiyev, N. (2023). Integration of a Video Surveillance System Into a Smart Home Using the Home Assistant Platform. April 2022.

Alam, U. I. M., & Rahmani, R. (2021). Federated semi-supervised multi-task learning to detect covid-19 and lungs segmentation marking using chest radiography images and raspberry pi devices: An internet of medical things application. Sensors, 21(15).

Astagia, A., Nurani, T. W. , & Kurniawati, V. R. (2022). Persyaratan Ekspor Tuna Tujuan Uni Eropa, Amerika Serikat,dan Jepang. Albacore, 6(1), 57–66.

Astawan, M. (2019). Penanganan dan pengolahan hasil Perikanan di atas Kapal. Basic Principles of Fishery Product Processing Technology, 1–338.

Azhary, M. A. ., & Lorenza, A. (2021). Analisis Sistem Kerja UPS (Uninterruptible Power Supply) Power Scale 200 kVA Terminal Bandara PT. Angkasa Pura II (Persero). IJEERE: Indonesian Journal of Electrical Engineering and Renewable Energy, 1(1), 13–20.

Bestari, D., Ma’ruf, W. F., & Anggo, A. D. (2013). Perbandingan Mutu Udang Windu (Penaeus monodon) yang Diproses dari Berbagai Jenis Metode Pembekuan Berbeda. Jurnal Pengolahan Dan Bioteknologi Hasil Perikanan, 2(2), 116–125.

Cao, S., Yu, S., & Zhang, Z. (2020). GPS relative positioning strategies for the fishery Internet of Things. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 36(10), 158–165.

Desnanjaya, I. G. M. N., & Arsana, I. N. A. (2021). Home security monitoring system with IoT-based Raspberry Pi. Indonesian Journal of Electrical Engineering and Computer Science, 22(3), 1295–1302.

Ding, X., Chen, L., Liu, M., & Hu, S. (2022). Design of intelligent fishery monitoring system based on Internet of Things technology. In IMCEC 2022 - IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (pp. 126–129).

Ega, A. V, Ginanjar, G., Azzumar, M., & Achmadi, A. (2023). Internet of things ( IoT ) based automatic room temperature monitoring and control Internet of Things ( IoT ) based Automatic Room Temperature Monitoring and Control with EGS-PWS 2 . 0. 030001(February), 0–12.

FAO. (2015). Nuestro futuro: Un mundo sin hambre. FAO Publications, 83.

Gatial, E., Balogh, Z., & Hluchy, L. (2020). Concept of Energy Efficient ESP32 Chip for Industrial Wireless Sensor Network. In INES 2020 - IEEE 24th International Conference on Intelligent Engineering Systems, Proceedings (pp. 179–183).

Gregory, O. J., Amani, M., Tougas, I. M., & Drehman, A. J. (2012). Stability and microstructure of indium tin oxynitride thin films. Journal of the American Ceramic Society, 95(2), 705–710.

Haldar, S., Sain, A., Suman, S., Biswas, L., & Biswas, K. (2022). Internet of Things for Fishery. In Lecture Notes in Electrical Engineering (Vol. 815, pp. 505–513).

Haya, S., & Restuwati, I. (2022). Teknik Pembekuan Ikan Tongkol Bentuk Utuh dengan Metode Air Blast Freezer. Jurnal Penyuluhan Perikanan Dan Kelautan, 16(1), 45–63.

Hayashi, M., Shibata, K., & Nobukawa, S. (2021). Advantage of graft architecture with a flexible main chain for implantation of ductile nature into brittle amorphous acrylic glass. Polymer, 236.

Hejazi, P., & Ferrari, G. (2018). Energy and Memory Efficient Data Loss Prevention in Wireless Sensor Networks. July.

Heo, S. H., Jo, S., Kim, H. S., Choi, G., Song, J. Y., Kang, J. Y., Park, N. J., Ban, H. W., Kim, F., Jeong, H., Jung, J., Jang, J., Lee, W. B., Shin, H., & Son, J. S. (2019). Composition change-driven texturing and doping in solution-processed SnSe thermoelectric thin films. Nature Communications, 10(1).

Hidayat, R. N., Sabri, L. M., & Awaluddin, M. (2019). Analisis Desain Jaring Gnss Berdasarkan Fungsi Presisi (Studi Kasus?: Titik Geoid Geometri Kota Semarang). Jurnal Geodesi Undip, 8(1), 48–55.

Hosny, K. M., Darwish, M. M., Li, K., & Salah, A. (2021). COVID-19 diagnosis from CT scans and chest X-ray images using low-cost Raspberry Pi. 1–18.

Hutapea, R. Y. F., Khikmawati, L. T., & Gusfirmansyah, W. (2020). Studi Penanganan Hasil Tangkapan Purse Seine Di Km Bina Maju Kota Sibolga. Jurnal Teknologi Perikanan Dan Kelautan, 10(2), 183–190.

Indrotristanto, N., Andarwulan, N., Fardiaz, D., & Dewanti-Hariyadi, R. (2022). Prioritization of food – pathogen pairs in export refusals of fishery commodities from Indonesia. Food Control, 131.

Ivory, R. A., Kholis, N., Nurhayati, & Baskoro, F. (2021). Review Penggunaan Sensor Suhu Terhadap Respon Pembacaan Skala Pada Inkubator Bayi. Jurnal Teknik Elektro, 10(01), 185–194.

Izquierdo-Monge, O., Redondo-Plaza, A., Peña-Carro, P., Zorita-Lamadrid, Á., Alonso-Gómez, V., & Hernández-Callejo, L. (2023). Open Source Monitoring and Alarm System for Smart Microgrids Operation and Maintenance Management. Electronics (Switzerland), 12(11).

Kamarozaman, N. B., & Awang, A. H. (2021). IOT COVID-19 Portable Health Monitoring System Using Raspberry Pi, Node-Red and ThingSpeak. In IEEE Symposium on Wireless Technology and Applications, ISWTA (Vol. 2021, pp. 107–112).

Kang, K., Xu, L., Wang, W., Wu, G., Wei, J., & ... (2020). A Hierarchical Automata Based Approach for Anomaly Detection in Smart Home Devices. … on Internet of Things ….

Karthika, K., Dhanalakshmi, S., Murthy, S. M., Mishra, N., Sasikala, S., & Murugan, S. (2023). Raspberry Pi-Enabled Wearable Sensors for Personal Health Tracking and Analysis. In International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023 - Proceedings (pp. 1254–1259).

Kondaveeti, H. K., Kumaravelu, N. K., Vanambathina, S. D., Mathe, S. E., & Vappangi, S. (2021). A systematic literature review on prototyping with Arduino?: Applications , challenges , advantages , and limitations. Computer Science Review, 40, 100364.

Kuliabin, K., Belov, A. V, Sergeev, T. V, & Suvorov, N. B. (2018). The digital recorder of the human’s body fast temperature oscillations. In Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018 (Vol. 2018, pp. 1205–1208).

Kurokawa, T., Mori, R., Norimasa, O., Chiba, T., Eguchi, R., & Takashiri, M. (2020). Influences of substrate types and heat treatment conditions on structural and thermoelectric properties of nanocrystalline Bi2Te3 thin films formed by DC magnetron sputtering. Vacuum, 179(June), 109535.

Kushnir, V., Koman, B., & Yuzevych, V. (2019). IoT Image Recognition System Implementation for Blind Peoples Using esp32, Mobile Phone and Convolutional Neural Network. In 2019 11th International Scientific and Practical Conference on Electronics and Information Technologies, ELIT 2019 - Proceedings (pp. 183–187).

Le, V. C., & Yoo, M. (2021). Application for Managing YAML Template for Kubernetes. Journal of Korean Institute of Communications and Information Sciences, 46(11), 1950–1957.

Li, J. (2020). Design and Development of Marine Temperature Data Recorder System Based on Single-Chip Microcomputer. Journal of Coastal Research, 106, 571–575.

Li, Y., Zhan, J., Xu, W., Qi, C., & Zhu, C. (2020). Design and analysis of high-power thermostatic control system based on TEC. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 11455).

Litaay, C., Wisudo, S. H., Haluan, J. H., & Harianto, B. (2018). the Effects of Different Chilling Method and Storage Time on the Organoleptic Quality of Fresh Skipjack Tuna. Jurnal Ilmu Dan Teknologi Kelautan Tropis, 9(2), 717–726.

Liu, D., Shi, P., Ren, W., Liu, Y., Liu, M., Zhang, Y., Lin, Q., Tian, B., Jiang, Z., & Ye, Z. G. (2018). Investigation on thermoelectric properties of screen-printed La1-xSrxCrO3-In2O3 thermocouples for high temperature sensing. Journal of the European Ceramic Society, 38(15), 5030–5035.

Liu, Z., Tian, B., Fan, X., Liu, J., Zhang, Z., Luo, Y., Zhao, L., Lin, Q., Han, F., & Jiang, Z. (2020). A temperature sensor based on flexible substrate with ultra-high sensitivity for low temperature measurement. Sensors and Actuators, A: Physical, 315, 112341.

Lokollo, E., & Mailoa, M. N. (2020). Handling techniques and Microbial Contamination on Fresh Scads Fish (Decapterus sp) in Traditional Markets, Ambon City. Jurnal Pengolahan Hasil Perikanan Indonesia, 23(1), 103–111.

Metusalach, Kasmiati, Fahrul, & Jaya, I. (2014). Effect of fishing techniques, handling facilities and methods On quality of the fish. Jurnal IPTEKS PSP, 1(1), 40–52.

Mondragon, A. E. C., Mondragon, C. E., & Coronado, E. S. (2020). Feasibility of Internet of Things and Agnostic Blockchain Technology Solutions: A Case in the Fisheries Supply Chain. In 2020 IEEE 7th International Conference on Industrial Engineering and Applications, ICIEA 2020 (pp. 504–508).

Mubarak, R., Budiyanto, S., & Wulandari, P. (2020). Techno-economic analysis of satellite implementation as a broadband internet provider in Indonesia. Journal of Physics: Conference Series, 1517(1).

Ningtyas, R., Jayarachman, M. N., Imam, S., & Muryeti. (2023). The Use of Colour Indicator as a Smart Packaging for Monitoring Spoilage Fillet Catin Fish ( Pangasius Sp.) In Room Temperature. IOP Conference Series: Earth and Environmental Science, 1177(1).

Nizam, M. N., Haris Yuana, & Zunita Wulansari. (2022). Mikrokontroler Esp 32 Sebagai Alat Monitoring Pintu Berbasis Web. JATI (Jurnal Mahasiswa Teknik Informatika), 6(2), 767–772.

Nurzaman, A. F. (2023). Development of Internet of Things System for Smart Fishery in Ornamental Fish Farming. In Proceedings of 2023 International Conference on Information Management and Technology, ICIMTech 2023 (pp. 667–672).

Pauly, D. (2017). A vision for marine fi sheries in a global blue economy. Marine Policy, October, 0–1.

Prabowo, I. P. H., Nugroho, S., & Utomo, D. (2014). Penggunaan Raspberry Pi Sebagai Web Server Pada Rumah Untuk Sistem Pengendali Lampu Jarak Jauh Dan Pemantauan Suhu. Techne?: Jurnal Ilmiah Elektroteknika, 01, 111–124.

Prafanto, A., Budiman, E., Widagdo, P. P., Putra, G. M., & Wardhana, R. (2021). Pendeteksi Kehadiran menggunakan ESP32 untuk Sistem Pengunci Pintu Otomatis. JTT (Jurnal Teknologi Terapan), 7(1), 37.

Prihatmoko, D. (2017). Pemanfaatan Raspberry Pi Sebagai Server Web Untuk Penjadwalan Kontrol Lampu Jarak Jauh. Jurnal Infotel, 9(1), 84.

Purwanto, H., Alauddin, M. H. R., & Ramli, M. S. (2024). Analisis Penanganan Ikan Yang Baik Di Pps Nizam Zachman Jakarta Dengan Metode Design Thinking. Jurnal Teknologi Perikanan Dan Kelautan, 15(1), 33–46.

Rai, P., & Rehman, M. (2019). ESP32 based smart surveillance system. In 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2019.

Rizal, I. F., Arimbawa, I. W. A., & Afwani, R. (2018). Rancang Bangun Digital Home Assistant dengan Perintah Suara Menggunakan Raspberry Pi dan Smartphone (Design and Built Digital Home Assistant with Voice Commands Using Raspberry Pi and Smartphone). J-Cosine, 2(2), 127–134.

Rosman N., A. (2018). Perancangan Termokopel Berbahan Besi (Fe) dan Tembaga (Cu) Untuk Sensor Temperatur. Indonesian Journal of Fundamental Sciences, 4(2), 120.

Sani, M. I., Ibnugraha, P. D., Sari, M. I., Rizal, M. F., Hanifa, F. H., Salasa, S. A., Reksa, A. A., Hartono, A. F., & Utama, N. C. (2023). Non-Invasive Human Body Temperature Detection for Online Event Data Recorder. In 2023 3rd International Conference on Intelligent Cybernetics Technology and Applications, ICICyTA 2023 (pp. 448–453).

Santoso, H., & Ruslim, R. (2019). Pembuatan Termokopel Berbahan Nikel (Ni) dan Tembaga (Cu) Sebagai Sensor Temperatur. Indonesian Journal of Fundamental Sciences, 5(1), 59.

Sanzay, D., Yuliati, & Santosa, H. (2020). Sistem Otomasi Proses Likuifikasi Dalam Pembuatan Setengah Jadi Gula Cair Dari Ubi Singkong. Scientific Journal Widya Teknik, 19(2), 2020.

Saptadi, A. H. (2014). Perbandingan Akurasi Pengukuran Suhu dan Kelembaban Antara Sensor DHT11 dan DHT22. Jurnal Infotel, 6(2), 49–56.

Sarwono, J., & Herlina, B. (2012). Statistik Terapan?: Aplikasi Untuk Riset Skripsi, Tesis dan Disertasi Menggunakan Spss, Amos dan Excel. Elex Media Komputindo.

Setiawan, N. (2007). Penentuan Ukuran Sampel Memakai Rumus Slovin Dan Tabel Krejcie-Morgan. Universitas Padjajaran, November.

Setiawan, R., Anom Besari, A. R., Wibowo, I. K., Rizqullah, M. R., & Agata, D. (2018). Mobile visual programming apps for internet of things applications based on raspberry Pi 3 platform. International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings, October, 199–204.

Škraba, A., Koložvari, A., Kofja?, D., Stojanovi?, R., Semenkin, E., & Stanovov, V. (2019). Prototype of Group Heart Rate Monitoring with ESP32. In 2019 8th Mediterranean Conference on Embedded Computing, MECO 2019 - Proceedings.

Song, Y., & Zhu, K. (2019). Fishery internet of things and big data industry in China. In Proceedings - 2019 International Conference on Machine Learning, Big Data and Business Intelligence, MLBDBI 2019 (pp. 181–185).

Triwibowo, R., & Rachmawati, N. (2021). Refusal to Export Fishery Products: Biological Contamination, Challenges and Strategies.

Wahab, M. N. A., Nazir, A., Ren, A. T. Z., Noor, M. H. M., Akbar, M. F., & Mohamed, A. A. S. A. (2021). Efficientnet-Lite and Hybrid CNN-KNN Implementation for Facial Expression Recognition on Raspberry Pi. IEEE Access, 9, 134065–134080.

Wendri, N., Wayan Supardi, I., Suarbawa, K. N., & Made Yuliantini, N. (2012). Alat Pencatat Temperatur Otomatis Menggunakan Termokopel Berbasis Mikrokontroler At89S51. Buletin Fisika, Jurusan Fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Udayana, 13(1), 29–33.

Whittington, R. H., Muessig, D., Reddy, R., Mohammad, A., Mitchell, K., Brumbaugh, J., Mehta, D., & Hayes, D. (2020). Temperature monitoring with an implantable loop recorder in a patient with presumed COVID-19. HeartRhythm Case Reports, 6(8), 477–481.

Widyatmika, P. A. W., Indrawati, N. P. A. W., Prastya, W. A. A., Darminta, K., Sangka, G. N., & Sapteka, A. A. N. G. (2021). Perbandingan Kinerja Arduino Uno dan ESP32 Terhadap Pengukuran Arus dan Tegangan. Jurnal Otomasi Kontrol Dan Instrumentasi, 13(1), 35–47.

Wijaya, I. D., Nurhasan, U., & Barata, M. A. (2017). Implementasi Raspberry pi Untuk Rancang Bangun Sistem Keamanan Pintu Ruang Server dengan Penegenalan Wajah Menggunakan Metode Triangle Face. Jurnal Informatika Polinema, 4(1), 9–16.

Witria. (2021). The Effectiviness of Neem Leaves (Azadirachta indica) to Longtail Tuna Meat Histamine. Jurnal Pengolahan Hasil Perikanan Indonesia, 24(2), 209–217.

Yusni, E. (2019). Analysis of histamin content in tuna fish Thunnus sp. with Elisa method at fishing port of Belawan, North Sumatra, Indonesia. In IOP Conference Series: Earth and Environmental Science (Vol. 348, Issue 1).

Zare, A., & Iqbal, M. T. (2020). Low-Cost ESP32, Raspberry Pi, Node-Red, and MQTT protocol based SCADA system. In IEMTRONICS 2020 - International IOT, Electronics and Mechatronics Conference, Proceedings.

Zhang, H., Srinivasan, R., & Ganesan, V. (2021). Low cost, multi-pollutant sensing system using raspberry pi for indoor air quality monitoring. Sustainability (Switzerland), 13(1), 1–15.

Zhou, X., Li, S., Li, X., Yan, X., ZhangXuenan, Wang, F., & Tonglei Cheng. (2020). High-Sensitivity SPR Temperature Sensor Based on Hollow-Core Fiber. IEEE Transactions on Instrumentation and Measurement, 69(10), 8494–8499.




How to Cite

Purwanto, H., Hermawan, M., Nainggolan, C., & Wibowo, B. (2024). Design of An Automatic Temperature Recorder for Fishery Vessels Using Internet of Things Technology. Journal of Applied Engineering and Technological Science (JAETS), 5(2), 1020–1050.