Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Sumatra Journal of Disaster, Geography and Geography Education Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat
Zikra, Afdhal
Unknown Affiliation
Education Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis Perhitungan Pajak Bumi dan Bangunan Berbasis Data 3D Menggunakan UAV dan LiDAR di Kecamatan Baso, Kabupaten Agam Zikra, Afdhal; Yulfa, Arie
Al-DYAS Vol 4 No 2 (2025): JUNI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/aldyas.v4i2.4913

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.
Precision and Paradigm Shift: Transforming Land and Building Tax Assessment Through Uav-Lidar Derived High-Resolution 3d Spatial Data Arie Yulfa; Muhammad Giatman; Syarief, Azhari; Ramadhan, Risky; Zikra, Afdhal
Sumatra Journal of Disaster, Geography and Geography Education Vol. 10 No. 1 (2026): Sumatra Journal of Disaster, Geography and Geography Education (June Edition)
Publisher : Sumatra Journal of Disaster, Geography and Geography Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/sjdgge.v10i1.730

Abstract

The conventional Land and Building Tax (PBB) evaluation methods in Indonesia, namely in Baso District, Agam Regency, depend on two-dimensional measures with accuracy rates ranging from 85% to 95%, resulting in possible revenue deficits and assessment inconsistencies. This work seeks to create and execute a more precise tax assessment system utilizing high-resolution 3D spatial data obtained by UAV-LiDAR technology. The study utilizes a quantitative applied methodology, employing a DJI Matrice 350 RTK outfitted with LiDAR sensors for data acquisition. Data processing with DJI Terra and TerraSolid software produces Digital Terrain Models (DTM) and Digital Surface Models (DSM), facilitating accurate land boundary delineation and 3D building digitization. The findings indicate a substantial enhancement in spatial measuring accuracy, attaining 97-99% precision relative to traditional approaches. The implementation facilitates thorough property evaluation via precise measurements of building heights, volumes, and land areas, thereby offering a more dependable foundation for tax computations. The study suggests that, despite constraints including elevated initial costs and training demands, the inclusion of UAV-LiDAR technology significantly improves the accuracy, efficiency, and transparency of PBB assessments, representing a notable improvement in contemporary property tax administration systems.
Co-Authors Azhari Syarief Muhammad Giatman Ramadhan, Risky Yulfa, Arie