SISTEM PELAPORAN PERBAIKAN DATA ALUMNI BERBASIS MOBILE WEB PADA UNIVERSITAS ARYASATYA DEO MURI

Lepri Veronika Nino; Erna Rosani  Nubatonis; Heni

doi:10.46880/mtk.v12i2.6106

Authors

Lepri Veronika Nino STIKOM Uyelindo Kupang
Erna Rosani Nubatonis STIKOM Uyelindo Kupang
Heni STIKOM Uyelindo Kupang

DOI:

https://doi.org/10.46880/mtk.v12i2.6106

Keywords:

Alumni Information System, Data Correction Reporting, Mobile Web, Data Validation, Waterfall

Abstract

Accurate and up-to-date alumni data is an important aspect in supporting academic reporting and information management in higher education. However, the alumni data improvement process at Aryasatya Deo Muri University is still done manually so it is less efficient, takes longer time, and makes it difficult for alumni to submit and monitor the status of data improvement. This study aims to design and build a mobile web-based Alumni Data Improvement Reporting System to facilitate alumni, academic departments, and PDDIKTI operators in the process of submitting, verifying, and monitoring data improvement. The system was developed using the Waterfall method which includes needs analysis, design, implementation, testing, and maintenance, by utilizing PHP, MySQL, and Bootstrap technology. System testing was carried out using the Black Box method and user evaluation through questionnaires to 57 alumni respondents selected using the Slovin formula. The results showed that all system functions ran according to needs, while the results of the user evaluation obtained a satisfaction level of 80.79% with the Strongly Agree category, which indicates that the system is easy to use and able to support the alumni data improvement process effectively. The main contribution of this research is the availability of a system that integrates supporting document upload features, verification and validation processes, and real-time monitoring of application status, thereby increasing the efficiency of alumni data management and supporting the provision of more accurate, up-to-date, and well-documented data.

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