Design of a Web Based Population Data Information System at Matawai Atu Village Office

Authors

  • Jesika Prince Piri Fakultas Sains Dan Teknologi, Universitas Kristen Wira Wacana Sumba
  • Arini Aha Pekuwali Universitas Kristen Wira Wacana Sumba

DOI:

https://doi.org/10.59934/jaiea.v5i3.2334

Keywords:

Information Systems, Population Registration, Waterfall, Web, Matawai Atu Village Office

Abstract

The development of information technology has greatly influenced many sectors, including village administration. The Matawai Atu Village Office, located in Umalulu Subdistrict, East Sumba Regency, still uses a manual system to record population data such as births, deaths, new residents, and relocations. Data is recorded in a main register book and then processed using Microsoft Word to create reports. This method causes several problems, including the risk of data loss, data entry errors, slow data searching, and delays in report preparation. To solve these problems, this study aims to design a web-based population data information system that is effective and efficient. The study uses the Waterfall method, which includes the stages of requirements analysis, system design, implementation, testing, and maintenance. The system is developed using PHP and a MySQL database. Data collection is carried out through interviews, direct observation at the research location, and literature study. System testing is conducted using Black Box Testing to ensure that all features work properly, and the System Usability Scale (SUS) to measure how easy the system is for users. The results show that the developed system can manage population data more accurately, quickly, and securely. The system also makes it easier for staff to search data, manage documents, and prepare reports. With this system, it is expected that public services at the Matawai Atu Village Office will improve and better support the work of village staff.

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Published

2026-06-09

How to Cite

Jesika Prince Piri, & Arini Aha Pekuwali. (2026). Design of a Web Based Population Data Information System at Matawai Atu Village Office. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 5(3), 4022–4029. https://doi.org/10.59934/jaiea.v5i3.2334

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Articles