Al-Anshori, Mohammad Zuhdi (2026) Pemodelan Tiga Dimensi Menggunakan Data Lidar dan Foto Udara untuk Visualisasi Potensi Pemasangan Panel Surya pada Atap Bangunan. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pertumbuhan kebutuhan energi listrik Kota Surabaya sebesar 9,11% per tahun mendorong percepatan transisi menuju energi terbarukan, khususnya Pembangkit Listrik Tenaga Surya (PLTS) di atap bangunan. Namun, keterbatasan data geometri bangunan yang akurat menjadi hambatan utama dalam perencanaan PLTS atap berskala kota, terutama dalam pemodelan kemiringan, orientasi, dan luas atap secara spasial. Penelitian ini mengusulkan analisis komparatif antara teknologi LiDAR dan fotogrametri udara berbasis UAV untuk membangun model tiga dimensi bangunan dan mengevaluasi potensi energi surya atap di kawasan Institut Teknologi Sepuluh Nopember (ITS) Surabaya. Akuisisi data dilakukan menggunakan UAV DJI Matrice 350 RTK yang dilengkapi sensor Zenmuse L2 pada area seluas ±180 ha. DSM LiDAR dan DSM foto udara dibangun dengan resolusi 0,1 m/pixel, kemudian dievaluasi menggunakan Ground Control Point (GCP) dan Independent Check Point (ICP). Estimasi energi matahari dihitung menggunakan tool Area Solar Radiation pada ArcGIS Pro dengan mempertimbangkan parameter slope, aspect, efek bayangan (shadowing), serta kondisi atmosfer. Hasil penelitian menunjukkan bahwa DSM LiDAR dan DSM foto udara memiliki ketelitian vertikal yang hampir sama dengan nilai RMSE masing-masing sebesar 0,0799 m dan 0,0809 m. Perbandingan estimasi energi matahari menghasilkan nilai Mean Absolute Percentage Error (MAPE) sekitar 3–5%, sedangkan validasi terhadap model analitis MATLAB menghasilkan MAPE sebesar 9–21% akibat tidak diperhitungkannya efek bayangan. Analisis ekonomi menunjukkan bahwa hasil estimasi dapat digunakan untuk mengidentifikasi area yang layak dipasang panel surya, dengan potensi reduksi emisi karbon sebesar 0,069–0,26 tonCO₂ untuk setiap 1 m² atap. Hasil penelitian menunjukkan bahwa DSM hasil foto udara mampu memberikan estimasi potensi energi surya yang sebanding dengan DSM LiDAR sehingga berpotensi menjadi alternatif yang lebih ekonomis dalam analisis potensi pemasangan panel surya.
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The annual electricity demand growth in Surabaya of 9.11% has accelerated theadoption of renewable energy, particularly rooftop photovoltaic (PV) systems.However, the lack of accurate three-dimensional building geometry remains amajor challenge for city-scale rooftop PV planning, especially in modeling roofslope, orientation, and usable roof area. This study compares UAV-based LiDARand aerial photogrammetry for three-dimensional building modeling and rooftopsolar potential assessment at the Institut Teknologi Sepuluh Nopember (ITS),Surabaya. Data were acquired using a DJI Matrice 350 RTK equipped with aZenmuse L2 sensor over an area of approximately 180 ha. LiDAR-derived andphotogrammetry-derived Digital Surface Models (DSMs) with a spatial resolutionof 0.1 m were evaluated using Ground Control Points (GCPs) and IndependentCheck Points (ICPs). Solar radiation was estimated using the Area Solar Radiationtool in ArcGIS Pro by considering slope, aspect, shadowing, and atmosphericconditions. The LiDAR-derived and photogrammetry-derived DSMs achievedcomparable vertical accuracies, with RMSE values of 0.0799 m and 0.0809 m,respectively. The comparison of solar radiation estimates produced a MeanAbsolute Percentage Error (MAPE) of 3–5%, while validation against an analyticalMATLAB model resulted in a MAPE of 9–21% due to the exclusion of shadowingeffects. Economic analysis identified suitable rooftop areas for PV installation andestimated a carbon emission reduction of 0.069–0.26 tons CO₂ per square meter ofrooftop PV installation. These results demonstrate that photogrammetry-derivedDSMs provide solar potential estimates comparable to LiDAR-derived DSMs,making them a cost-effective alternative for large-scale rooftop solar potentialassessment.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Fotogrametri, LiDAR, Pemodelan 3D, Potensi energi surya, Photogrammetry, LiDAR, 3D Modeling, Solar Energy Potential |
| Subjects: | T Technology > TD Environmental technology. Sanitary engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power U Military Science > U Military Science (General) > UG Military Engineering > UG1242.D7 Unmanned aerial vehicles. Drone aircraft |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29101-(S2) Master Thesis |
| Depositing User: | Mohammad Zuhdi Al-anshori |
| Date Deposited: | 29 Jul 2026 01:06 |
| Last Modified: | 29 Jul 2026 01:06 |
| URI: | http://repository.its.ac.id/id/eprint/138080 |
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