Analisis Perhitungan Pajak Bumi dan Bangunan Berbasis Data 3D Menggunakan UAV dan LiDAR di Kecamatan Baso, Kabupaten Agam Analysis of Land and Building Tax Calculation Based on 3D Data Using UAV and LiDAR in Baso District, Agam Regency
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Abstract
Land and Building Tax (PBB) calculations using conventional methods often face obstacles in terms of accuracy and efficiency. This research implements UAV (Unmanned Aerial Vehicle) technology integrated with LiDAR sensors to optimize PBB calculations in Baso District, Agam Regency in 2024. The research method used is applied research with a quantitative approach, using DJI Terra and TerraSolid software for data acquisition and processing. The results showed that UAV-LiDAR technology is able to produce 3D spatial data that presents detailed information about the dimensions of tax objects, including area, volume, and height of buildings. Compared to conventional 2D methods, this technology shows significant advantages in assessing multi-storey buildings and complex structures. The resulting point cloud data supports precise object classification and more accountable tax assessment. Although its implementation requires high initial investment, the technology proves effective in improving the validity of tax object data and strengthening the PBB calculation base. This research contributes to the modernization of local taxation system through the utilization of the latest geospatial technology.
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References
Aprianty, R. D., & Lambey, R. (2016). Evaluation of Tax Object Management Information System ( Sismiop ) Toward the. Jurnal EMBA, 4(1), 781–790.
Arrofiqoh, E. N., Muryamto, R., Afiyanti, D., Azizah, S. C., Kresnawan, D. S., & Fabiola, A. N. (2022). Pemanfaatan UAV dengan Sensor Kamera dan Lidar untuk Pemetaan Situs Cagar Budaya Kawasan Candi Prambanan. Geoid, 17(2), 176. https://doi.org/10.12962/j24423998.v17i2.9766
Aryawan, I. K. D. P., I Gede Yudi Wisnawa, & I Gst Ngr Yoga Jayantara. (2022). Aplikasi Sistem Informasi Geografis (Sig) Untuk Pemetaan Zona Nilai Jual Objek Pajak (Njop) Di Kecamatan Jembrana. Jurnal ENMAP., 3(2), 6–18. https://doi.org/10.23887/em.v3i2.52802
Atiqi, R., Dimyati, M., Gamal, A., & Pramayuda, R. (2022). Appraisal of Building Price in Urban Area Using Light Detection and Ranging (LiDAR) Data in Depok City. Land, 11(8). https://doi.org/10.3390/land11081320
Baltsavias, E. P. (1999). "Airborne Laser Scanning: Basic Relations and Formulas." ISPRS Journal of Photogrammetry and Remote Sensing, 54(2-3), 199-214.
Colomina, I., & Molina, P. (2014). "Unmanned Aerial Systems for Photogrammetry and Remote Sensing: A Review." ISPRS Journal of Photogrammetry and Remote Sensing, 92, 79-97.Direktorat Jenderal Pajak. (1994). Undang-Undang No. 12 Tahun 1994 tentang Perubahan atas Undang-Undang No. 12 Tahun 1985 tentang Pajak Bumi dan Bangunan.
Hamur, P. K., Tjahjadi, M. T., & Yuliananda, A. (2019). Kajian pengolahan data foto udara menggunakan perangkat lunak agisoft photoscan dan PIX4D mapper ( studi kasus : Kecamatan Lowokwaru , Kota Malang ). Teknik Geodesi, ITN Malang., 12(1), 1–13. http://eprints.itn.ac.id/
Hendrawan, A., Setiawan, D., & Wijaya, T. (2020). "Pemanfaatan Teknologi UAV dan LiDAR dalam Penilaian Pajak Bumi dan Bangunan." Jurnal Teknologi dan Manajemen, 22(3), 99-112.
Hendrawan, A., Setiawan, D., & Wijaya, T. (2020). "Pemanfaatan Teknologi UAV dan LiDAR dalam Penilaian Pajak Bumi dan Bangunan." Jurnal Teknologi dan Manajemen, 22(3), 99-112.
Hendriatiningsih, S., Hernandi, A., Saptari, A. Y., Widyastuti, R., & Institut, S. (2019). Pemanfaatan Building Information Modeling ( BIM ) untuk Kadaster Fiskal 3D. Jurnal Geografi Indonesia, 51(3), 285–294.
ISPRS International Journal of Geo-Information (www.mdpi.com)
Kim, Y., Kim, S., & Lee, J. (2022). "Comparative Analysis of 3D Property Valuation Using UAV and LiDAR versus Traditional Methods." Sensors, 22(3), 567.
Lee, H., Kim, Y., & Choi, J. (2016). "Accuracy Assessment of UAV-derived 3D Models in Urban Areas." International Journal of Remote Sensing.
Mahyeda, A., Buchori, I., Tata Ruang, dan, Pertanahan Nasional, B., Sisingamangaraja No, J., & Artikel, I. (2020). Pemanfaatan Lidar Untuk Penentuan Zonasi Nilai Jual Objek Pajak Berbasis Rencana Pemanfaatan Ruang Using Lidar for Determining Zonation of Tax Object Selling Value Based on Urban Planning Open Access. Jurnal Pembangunan Wilayah Dan Kota, 16(3), 158–172. https://doi.org/10.14710/pwk.v16i3.20836
Meidodga, I., Syahrin, A., Putra, R. T., Warfandu, F., & Bimasena, A. N. (2023). Pemanfaatan Data Geospasial dalam Mewujudkan Sistem Informasi Pertanahan Multiguna Bagi Multipihak. Widya Bhumi, 3(1), 62–80. https://doi.org/10.31292/wb.v3i1.51
Pemerintah Kabupaten Agam. (2024). Peraturan Daerah Kabupaten Agam Nomor 1 Tahun 2024 tentang Pajak Daerah dan Retribusi Daerah. Pasal 8 ayat (1). Agam: Pemerintah Kabupaten Agam.
Pemerintah Kabupaten Agam. (2024). Peraturan Daerah Kabupaten Agam Nomor 1 Tahun 2024 tentang Pajak Daerah dan Retribusi Daerah. Pasal 6 ayat (3). Agam: Pemerintah Kabupaten Agam.
Permenkeu No. 186/PMK.03/2019 Tahun 2019 Tentang Klasifikasi Objek Pajak Dan Tata Cara Penetapan Nilai Jual Objek Pajak Pajak Bumi Dan Bangunan




















