Standard Budget Value in the Maintenance of Automated Weather Observing System (AWOS) Equipment at the Meteorology, Climatology and Geophysics Agency
DOI:
https://doi.org/10.37385/ijedr.v5i1.3869Keywords:
AWOS, Budget, Maintenance, Spare Parts AnalysisAbstract
This research addresses the inefficiencies in proposing maintenance budgets for optimizing the utilization of Automated Weather Observing System (AWOS) spare parts. The primary objective is to analyze the calculation methodology for establishing an ideal standard budget for AWOS maintenance, considering various influencing factors. Employing an applied research method with a qualitative approach, data for the study are derived from interviews and literature studies. The findings reveal that several factors impact the standard budget, encompassing the number of technicians, duration of maintenance, geographical location, transportation, accommodation, daily allowances, type of damage, and the nature of maintenance (preventive/corrective). The standard budget calculation is grounded in maintenance service costs, official travel expenditures, and spare parts procurement costs. Service fees for third-party maintenance are determined through collaborative contracts, while official travel costs align with predetermined standard input expenses. Replacement costs for spare parts are based on UPT reports, expert recommendations, historical maintenance records, priority scaling, and budgetary constraints. The ongoing development of a spare parts analysis method, factoring in these considerations, indicates that the optimal procurement for data logger spare parts is 8 units, with a 90% confidence level for all of Indonesia. This approach aims to ensure AWOS functionality aligns with its technical life (reliability), ease of repair in the event of failure (maintainability), and consistent proper operation (availability).
References
Aritonang, R., & Sukardi, T. (2019). Implementation of Maintenance and Repair of Workshop Tools on Machining Expertise Vocational High School in Yogyakarta Industry-Based. American Journal of Educational Research, 7(10), 670-676.
Bacchetti, A., & Saccani, N. (2012). Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice. Omega, 40(6), 722–737. https://doi.org/10.1016/j.omega.2011.06.008
Budiningsih, E., & Jauhari, W. A. (2017). Analisis Pengendalian Persediaan Spare Part Mesin Produksi di PT. Prima Sejati Sejahtera dengan Metode Continuous Review. PERFORMA?: Media Ilmiah Teknik Industri, 16(2), 152–160. https://doi.org/10.20961/performa.16.2.16994
Carnero, M. C., & Gómez, A. (2021). Optimisation of maintenance in delivery systems for cytostatic medicines. BMC Health Services Research, 21(1), 1-25.
Corder, A. (2018). Teknik manajemen pemeliharaan. erlangga.
De Jonge, B., & Scarf, P. A. (2020). A review on maintenance optimization. European journal of operational research, 285(3), 805-824.
Hussaini, A., & Yakubu, S. O. (2019). Automation and modernization of meteorological observation network in Nigeria. Journal of Applied Sciences and Environmental Management, 23(7), 1225-1231.
Ioannou, K., Karampatzakis, D., Amanatidis, P., Aggelopoulos, V., & Karmiris, I. (2021). Low-Cost Automatic Weather Stations in the Internet of Things. Information, 12, 146.
Koke, B., & Moehler, R. C. (2019). Earned Green Value management for project management: A systematic review. Journal of Cleaner Production, 230, 180-197.
Nafarin, M. (2004). Penganggaran Perusahaan (Edisi revi). Salemba empat.
Puslitbang Transportasi udara. (2020). Kajian Pengaruh Kondisi Meteorologi bagi perencanaan jalur penerbangan.
Putra, M., Ilyas, A., Retnoningsih, A. I., Bureau, P., Erwanto, A., Bureau, P., Nugraha, H. A., Santoso, B., Hidayat, A. M., Susilowati, A., & Bureau, P. (2023). Determination of The Automated Weather Observing System (AWOS) Maintenance Cost Index Based on Fuzzy Inference System. 121–125.
Pribadi, L. D., Kanto, D. S., & Kisman, Z. (2020). Budget absorption performance in financial education and training agency. Journal of Economics and Business, 3(2).
Sulistya, W., Nugraha, H. A., Dharmawan, G. B., Putra, M., Furqon, A., Sugiarto, S., & Pramagusta, A. P. (2019, September). Development of Automated Weather Observing System Based on Realtime Web Display. In 2019 International Electronics Symposium (IES) (pp. 577-581). IEEE.