Bagus Setia Aji
Universitas Nusa Mandiri

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DEVELOPMENT OF A WEB-BASED EMPLOYEE ASSET INVENTORY INFORMATION SYSTEM FOR KEMENTERIAN PELINDUNGAN PEKERJA MIGRAN INDONESIA Siti Ernawati; Alfian Alesandro; Yuyun Anggraeni; Bagus Setia Aji
Jurnal Riset Informatika Vol. 8 No. 4 (2026): September 2026
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v8i4.610

Abstract

Asset inventory management in government agencies requires a system that is able to ensure data accuracy, ease of monitoring, and presentation of information quickly and accurately. In the Kementerian Pelindungan Pekerja Migran Indonesia (KP2MI), the inventory process of assets used by employees is still carried out manually, potentially causing data duplication, recording errors, difficulty in tracking the whereabouts of assets, and delays in preparing reports. This study aims to develop a web-based employee asset inventory information system to improve the effectiveness, efficiency, and transparency of Barang Milik Negara (BMN) in the KP2MI environment. System development using the Waterfall method which includes the stages of needs analysis, design, implementation, testing, and maintenance. The system is developed using PHP programming language with MySQL database, while data collection is done through observation, interview, and literature study. Evaluation of the system is carried out using Black Box Testing to test the functionality of the system and the system Usability Scale (SUS) to measure the level of ease of use based on user perceptions. The test results showed that all 11 functional test scenarios were successfully executed, so that all system functions met the specified needs. In addition, the usability test obtained a SUS score of 82, which belongs to the category of Excellent with Grade A, indicating that the system has a very good level of ease of Use and can be accepted by users. The system developed is able to integrate asset data management, employee data, lending, returns, asset mutations, and presentation of reports in a centralized and real-time manner, thereby increasing data accuracy, accelerating report preparation, and supporting decision-making in asset management in the KP2MI environment.