Sistem Pendukung Keputusan Berbasis IoT untuk Monitoring Kinerja Panel Surya dan Pemeliharaan Prediktif
DOI:
https://doi.org/10.55123/insologi.v5i4.9169Keywords:
Decision Support System, Fuzzy Logic, Internet of Things, Photovoltaic, Predictive MaintanceAbstract
Solar energy is a critical component of renewable energy strategies; however, photovoltaic (PV) system performance is frequently degraded by environmental factors such as dust accumulation, shading, and component failures. These issues lead to reduced energy yield and increased operational costs. This research develops an IoT-based decision support system (DSS) for real-time performance monitoring and predictive maintenance scheduling of solar panels. The system integrates sensor data on voltage, current, irradiance, and temperature, transmitted via a wireless network to a cloud-based analytics platform. A fuzzy logic algorithm evaluates panel health and triggers maintenance recommendations when performance deviations exceed pre-defined thresholds. The system was tested under simulated real-world conditions. Results demonstrate that the proposed DSS effectively detects performance degradation due to soiling and module-level faults, achieving a detection accuracy of 94% as indicated by the correlation coefficient between predicted and actual maintenance urgency, enabling timely maintenance interventions. This approach contributes to the field of intelligent renewable energy monitoring by providing a reliable, data-driven tool that reduces unnecessary maintenance costs and maximizes the operational lifespan of PV installations.
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Abdullah, A., Putri, M., Syahruddin, M., Sitorus, N., Jumaat, A. K., Ridzuan, A. R., Cholish, C., Rumahorbo, P. R., Noer, Z., Masthura, M., & Karim, M. A. (2024). Optimization of Solar Power Plant with Variation of Solar Reflector Angles and Use of Passive Cooling Integrated Internet of Things. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 124(1), 233–248. https://doi.org/10.37934/arfmts.124.1.233248
Caraka, R. E., Lee, Y., Kurniawan, R., Herliansyah, R., Kaban, P. A., Nasution, B. I., Gio, P. U., Chen, R. C., Toharudin, T., & Pardamean, B. (2020). Impact of COVID-19 large scale restriction on environment and economy in Indonesia. Global Journal of Environmental Science and Management, 6(Special Issue), 65–84. https://doi.org/10.22034/GJESM.2019.06.SI.07
Fiaga Apreka, S. T. (2022). DESAIN DAN IMPLEMENTASI MPPT FUZZY LOGIC CONTROL MENGGUNAKAN BOOST CONVERTER UNTUK PENERANGAN PADA PETERNAKAN AYAM. Power Elektronik : Jurnal Orang Elektro, 11(1), 69. https://doi.org/10.30591/polektro.v11i1.3227
Hardi, S., Matondang, A. A., & Rambe, A. H. (2021). Modeling of transient caused by lightning strike at Nias high voltage substation using ATP-EMTP case study. Journal of Physics: Conference Series, 1811(1), 012049. https://doi.org/10.1088/1742-6596/1811/1/012049
Lestari, M. W., & Anugrahwaty, R. (2026). Scenario - Based Charging Demand and Load Characterization for Electric Two - Wheeler Systems. 5(2), 391–401.
Manavalan, E., & Jayakrishna, K. (2019). A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements. Computers & Industrial Engineering, 127, 925–953. https://doi.org/10.1016/j.cie.2018.11.030
Matondang, A., & Ginting, A. (2022). Analisis Konsumsi Daya Listrik Pada Pt . Unilever Oleochemical Indonesia Analysis of Electric Power Consumption At Pt . Unilever Oleochemical Indonesia. Https://Ojs.Polmed.Ac.Id/Index.Php/Circuit/Issue/View/140, 5, 9–15.
Nainggolan, R., Kamil, I., Matondang, A. A., Sitorus, N., Suadi, S., Sibarani, B., & Hestukoro, S. (2026). Parametric optimization of an axial wind turbine blade for a hybrid renewable energy system integrating solar PV and micro-hydro. Science, Technology, and Communication Journal, 6(3), 385–392. https://doi.org/10.59190/stc.v6i3.395
Park, S. H., Kim, D. H., & Kim, S. C. (2023). Recognition of IoT-based fire-detection system fire-signal patterns applying fuzzy logic. Heliyon, 9(2), e12964. https://doi.org/10.1016/j.heliyon.2023.e12964
Parulian Siagian, Aprima A. Matondang, Andreas V. H. Simanjuntak, Budhi S. Kusuma, Joel Panjaitan, & Andrean V. H. Simanjuntak. (2025). Experimental of Environmental Development Using Continuous Solar Dryer With Solid Dehumidification For Coffee Drying. Journal of Geoscience, Engineering, Environment, and Technology, 10(02), 162–169. https://doi.org/10.25299/jgeet.2025.10.02.21492
Purba, A. M., Napitu, D. H. S., Lestari, M. W., Simangunsong, J., Hutajulu, E., Hutabarat, N. F., & Matondang, A. A. (2026). Energy Consumption and Charging Infrastructure Analysis for Electric Bus Deployment in Urban Transportation Systems. Jurnal Penelitian Pendidikan IPA, 12(4), 639–648. https://doi.org/10.29303/jppipa.v12i4.11221
Sitorus, N., Ginting, B. B., Panjaitan, B. P., Simanjuntak, B. E., Naibaho, P. R. P., Matondang, A. A., & Simanjuntak, A. V. H. (2025). Design and Performance Evaluation of a 200 Wp Off-Grid Solar Photovoltaic Module for Renewable Energy in Indonesia. Journal of Geoscience, Engineering, Environment, and Technology, 10(3), 408–412. https://doi.org/10.25299/jgeet.2025.10.3.24981
Sitorus, N., Matondang, A. A., Elektro, J. T., Medan, P. N., Off-grid, S., & Air, P. (2026). ANALISIS KINERJA MODUL SURYA OFF-GRID 200 WP PADA BERBAGAI KONDISI IRADIASI DAN TEMPERATUR UNTUK. 7(1), 1–6.
Suparmono, S., Cholish, C., Abdullah, A., Sinambela, H., Alda, T., Aprima, A., & Simanjuntak, A. V. H. (2025). Engineering , Environment , and Technology Quantitative Assessment of Passive Load Balancing for a Designed HVAC Installation : Case study in Magnificent Hall , Deli Park. 10(3), 397–401. https://doi.org/10.25299/jgeet.2025.10.3.24696
Vega Penagos, C. A., Rodriguez-Martinez, O. F., Diaz, J. L., Feo-Cediel, G. A., Luna, A. C., & Andrade, F. (2026). Machine Learning Strategies for Power Grid Resilience: A Functional and Bibliometric Review. Electronics, 15(10), 2001. https://doi.org/10.3390/electronics15102001
Wedashwara, W., Wijayanto, H., Arimbawa, I. W. A., Zubaidi, A., & Jatmika, A. H. (2025). Fuzzy Association Rule Mining Berbasis Pivot Table Untuk Pengenalan Pola Data Internet of Thing. Prosiding SAINTEK, 7(November 2024), 174–180. https://doi.org/10.29303/saintek.v7i1.3421
Z Zumhari, Hutajulu, E., Sibarani, B., Sirait, R., Anggriani, T., & Matondang, A. A. (2025). Advancing Environmental and Health Pollution Monitoring in Medan, Indonesia: A Mechatronics-Based Meta-Analysis. Journal of Geoscience, Engineering, Environment, and Technology, 10(3), 402–407. https://doi.org/10.25299/jgeet.2025.10.3.24694
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Copyright (c) 2026 Stephanie Christina Yolanda Pardede, Thea Fitri Astarani, Surya Hardi, Aprima Anugerah Matondang, Regina Sirait
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