Analisis Sudut Kemiringan Optimum Panel Surya Atap di Kota Jakarta Menggunakan Data Global Solar Atlas
Abstract
The utilization of rooftop solar photovoltaic (PV) systems in urban areas has gained significant momentum as part of the energy transition strategy. Determining the optimum tilt angle of PV panels is crucial in maximizing system output. This study aims to analyze the optimum tilt angle for rooftop PV with multiple linear regression in five administrative cities of Jakarta using solar resource data from the Global Solar Atlas. Annual energy yield data were evaluated at an azimuth of 0° (facing north) with tilt angle variations from 0° to 20° in 1° intervals. The analysis employed a quadratic regression model estimated using Ordinary Least Squares (OLS), with uncertainty assessment conducted through 1000 bootstrap iterations. Results indicate that the optimum tilt angle ranges between 5° and 9°, with intercity variations: West Jakarta (5°), North Jakarta (9°), Central Jakarta (7.5°), East Jakarta (8.2°), and South Jakarta (7°). Energy gains compared to the horizontal orientation (0°) are relatively small, less than 1.1%. These findings suggest that for practical rooftop installations in Jakarta, a tilt angle of 7–9° can be recommended, as performance differences with continuous optimum estimation are negligible.
Keywords - Global Solar Atlas, Jakarta, Optimum Tilt Angle, Quadratic Regression, Rooftop Solar PV
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Menteri ESDM, “Peraturan Menteri Energi Dan Sumber Daya Mineralrepublik Indonesianomor 2 Tahun 2024 Tentang Pembangkit Listrik Tenaga Surya Atap Yang Terhubung Pada Jaringan Tenaga Listrik Pemegang Izin Usaha Penyediaan Tenaga Listrik Untuk Kepentingan Umum,” Mentri Energi dan Sumber Daya Miner., vol. 2024, pp. 1–35, 2024, [Online]. Available: https://jdih.esdm.go.id/storage/document/Permen ESDM Nomor 2 Tahun 2024.pdf.
Kementerian ESDM RI, Peraturan Menteri ESDM no 26 tahun 2021. 2021.
A. Makkulau and Christiono; Samsurizal, “Characteristics of Temperature Changes Measurement on Photovoltaic Surfaces Against Quality of Output Current on Solar Power Plants,” in 2019 International Conference on Technologies and Policies in Electric Power and Energy, TPEPE 2019, 2019, pp. 20–23, doi: 10.1109/IEEECONF48524.2019.9102630.
R. Samsurizal, Afrianda and A. Makkulau, “Optimizing the Potential of Solar Energy PT PJB UP Muara Karang Rooftop Area Using HelioScope,” Elkha J. Tek. Elektro, vol. 14, no. 1, pp. 1–6, 2022, doi: http://dx.doi.org/10.26418/elkha.v14i1.49910.
M. A. Samsurizal, Christiono, “Evaluasi Sudut Kemiringan Terhadap Pengaruh Irradiance Pada Array Photovoltaic Jenis Monocristalline,” J. Ilm. Setrum, vol. 8, no. 1, pp. 28–34, 2019, doi: http://dx.doi.org/10.36055/setrum.v8i1.5135.
N. P. Sartono, E. Ridwan, and H. Mohammad, “Pengaruh Perbedaan Posisi Sudut Kemiringan Panel Surya 120 Watt Peak Terhadap Peningkatan Efisiensi,” Pros. Semin. Nas., pp. 246–253, 2021.
T. M. A. Pandria, M. Muzakir, E. Mawardi, S. Samsuddin, M. Munawir, and M. Mukhlizar, “Penentuan Sudut Kemiringan Optimum Berdasarkan Energi Keluaran Panel Surya,” J. Serambi Eng., vol. 6, no. 1, pp. 1655–1661, 2021, doi: 10.32672/jse.v6i1.2665.
D. Hendrawati and N. F. A. S. Nadella Penny, “Analisis Perhitungan Optimasi Daya Panel Surya Ditinjau Dari Sudut Kemiringan Peneerimaan Iradiasi Panel Surya,” vol. 1, no. November, pp. 846–855, 2021.
Samsurizal, M. Andi, and Christiono, “Analisis Pengaruh Sudut Kemiringan Terhadap Arus Keluaran Pada Photovoltaic Dengan Menggunakan Regretion Quadratic Method,” Energi & Kelistrikan, vol. 10, no. 2, pp. 137–144, 2018.
A. Makkulau, Samsurizal, and M. Fikri, “Pengaruh Intensitas Matahari Terhadap Karakteristik Sel Surya Jenis Polycristaline Menggunakan Regresi Linear,” vol. 10, no. 1, pp. 69–76, 2021, doi: 10.33322/kilat.v10i1.994.
N. Mukisa and R. Zamora, “Optimal tilt angle for solar photovoltaic modules on pitched rooftops: A case of low latitude equatorial region,” Sustain. Energy Technol. Assessments, vol. 50, no. October 2021, 2022, doi: 10.1016/j.seta.2021.101821.
M. Nfaoui and K. El-Hami, “Extracting the maximum energy from solar panels,” Energy Reports, vol. 4, pp. 536–545, 2018, doi: 10.1016/j.egyr.2018.05.002.
M. Alaikal Huda and A. Makkulau, “Evaluasi Sudut Kemiringan Pada Panel Surya Untuk Mendapatkan Nilai Irradiance Terbaik Dengan Arus Tertinggi,” Institut Teknologi PLN, 2022.
S. Hidayat, W. N. Tanjung, C. A. Marthayodha, and D. Rachmawaty, “Analisis Model Rantai Pasok Universitas Al Azhar Indonesia Bagian II - Bidang Penelitian,” Jurnal Al-Azhar Indonesia Seri Sains dan Teknologi., vol. 3, no. 1, p. 23, 2017, doi: 10.36722/sst.v3i1.180.
A. F. M. S. Makkulau, “Pengaruh Iradiasi Matahari Terhadap Arus Keluaran Pada Permukaan Modul Surya Dengan Menggunakan Simulasi Matlab,” 2022, pp. 38–42, [Online]. Available: https://eng.unhas.ac.id/electrical/sneti/prosiding/prosiding.html.
D. Dahliya, S. Samsurizal, and N. Pasra, “Efisiensi Panel Surya Kapasitas 100 Wp Akibat Pengaruh Suhu Dan Kecepatan Angin,” Sutet, vol. 11, no. 2, pp. 71–80, 2021, doi: 10.33322/sutet.v11i2.1551.
N. R. Budhianti and T. Widiharih, “D-Optimal Design For 3rd Degree Polynomial Regression With Heteroscedastisity,” J. gaussian, vol. 2, no. April, pp. 129–135, 2013.
H. Qu, H. Zhao, W. Wang, and J. Zhang, “Experimental study on the losses of dusty PV modules considering irradiance levels and tilt angles,” Energy Reports, vol. 13, no. October 2024, pp. 2844–2854, 2025, doi: 10.1016/j.egyr.2025.02.011.
E. W. Steyerberg, F. E. Harrell, G. J. J. M. Borsboom, M. J. C. Eijkemans, Y. Vergouwe, and J. D. F. Habbema, “Internal validation of predictive models: Efficiency of some procedures for logistic regression analysis,” J. Clin. Epidemiol., vol. 54, no. 8, pp. 774–781, 2001, doi: 10.1016/S0895-4356(01)00341-9.
A. Martial, E. A. Akata, D. Njomo, B. Agrawal, A. Mackpayen, and A. M. Ali, “Tilt Angle and Orientation Assessment of Photovoltaic Thermal ( PVT ) System for Sub-Saharan Tropical Regions : Case Study Douala , Cameroon,” 2022.
B. Rinchi, R. Dababseh, M. Jubran, S. Al-dahidi, M. E. B. Abdalla, and O. Ayadi, “Global prediction of optimal solar panel tilt angles via machine learning,” vol. 382, no. October 2024, 2025.
DOI: http://dx.doi.org/10.36722/sst.v11i1.4874
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LP2M (Lembaga Penelitian dan Pengembangan Masyarakat)
Universitas AL-AZHAR INDONESIA, Lt.2 Ruang 207
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Jl. Sisingamangaraja, Kebayoran Baru
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