Enhancing Village Decision-Making through an AHP-Based Decision Support System with Centralized Database Integration
Abstract
Digital transformation at the local government level requires reliable human resources, particularly in terms of digital literacy. However, the evaluation of digital literacy is often conducted manually and subjectively, making the results less consistent and difficult to use as a basis for data driven decision making. This study aims to develop a decision support system by integrating the Analytical Hierarchy Process method with a centralized database to support village decision making. The case study was conducted in Clarak Village, Leces District. The proposed system is designed to evaluate digital literacy based on several criteria, including the ability to use digital technology, understanding of digital information, digital security and ethics, and the use of technology in work activities. The research method applies a Hybrid Waterfall SPK approach consisting of requirement analysis, system and database design, implementation, AHP integration, functional testing, validation, and usability evaluation. The centralized database is used to manage user data, criteria, weights, and evaluation results in an integrated manner. The expected result of this research is a prototype of an AHP based decision support system that can produce objective, measurable, and consistent digital literacy evaluations to support effective village level decision making.
Copyright (c) 2026 Anisa Nurul Wilda, Moh. Fadel, Muhammad Ichsan, Rojil Ghufron, Umi Diantika Susilowati, Wahyu Nofiyan Hadi, Arya Dwi Nugraha, Syifa Ayu Via Mika Bahrul, Olive Khoirul Lukluil Maknun Al Faishol
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