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All Journal Journal of Deep Learning, Computer Vision and Digital Image Processing
Muhammad Ramdani
Nusa Putra University
Computer Science & IT

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Web-Based Regional Map Repository System for Administrative Boundaries Survey Management Muhammad Ramdani; Arny Lattu; Carti Irawan
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 4 Issue 2 June 2026
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v4i2.1131

Abstract

Purpose – This study aims to design and implement a web-based regional map repository system to improve the management of administrative boundary survey archives at the Central Statistics Agency (BPS) of Bogor City. The study addresses the limitations of conventional physical archiving, including poor document traceability, potential data loss, damaged map records, and inefficient monitoring of map borrowing activities.Methods – The system was developed using the Rapid Application Development (RAD) method through requirements planning, user design, construction, and cutover stages. Data were collected through semi-structured interviews, direct observation, and literature review. The system was built using Laravel 12, PHP, MySQL, and deployed through a local server environment. System design was modeled using UML, while evaluation was conducted using black-box testing and the System Usability Scale (SUS) involving 10 respondents.Findings – The system integrates WA and WS map repositories, document borrowing history, role-based access, regional data management, and SLS merging and splitting features. Black-box testing showed a 100% success rate across all tested functional scenarios. The SUS evaluation produced an average score of 79 out of 100, categorized as “Good” and “Acceptable.”Research implications – The findings are limited to one local BPS institution and a small usability sample. Further testing, including load and stress testing, is required to assess scalability and resilience.Originality – This study offers an integrated repository model combining map archiving, administrative boundary management, and transaction-based tracking for local e-government archive transformation.
Co-Authors Arny Lattu Carti Irawan