https://globalresearcher.net/index.php/technovate/issue/feed 2025-09-04T05:16:13+00:00 I Putu Hendika Permana hendika@instiki-indonesia.ac.id Open Journal Systems <p><strong>TECHNOVATE: Journal of Information Technology and Strategic Innovation Management</strong> is a peer-reviewed journal which is published by PT. KARYA GEMAH RIPAH. <strong>TECHNOVATE: Journal of Information Technology and Strategic Innovation Management</strong> was first published January 2024 and has publishing periode four times in a year; january, april, july, october. This journal provides immediate open access to its content on the principle that making research freely available to the public that supports a greater global exchange of knowledge. It aims to provide a place/media for academics, practitioners and researchers to publish original research and review articles. This journal is available in print (by request) and online versions. We invite you to collect articles / papers on <strong>TECHNOVATE: Journal of Information Technology and Strategic Innovation Management.</strong></p> https://globalresearcher.net/index.php/technovate/article/view/154 2025-09-04T05:16:13+00:00 Indra Pratistha indra.pratistha@instiki.ac.id Ni Putu Diva Septa Widiari divasepta12@gmail.com Ni Luh Putu Berliana Dewi berlianadewii12323@gmail.com I Made Krisna Jaya krisnajaya34@gmail.com I Gede Iwan Sudipa iwansudipa@instiki.ac.id

<p><em>The development of e-wallet adoption in Indonesia accompanied by a diversity of features and service quality triggers user confusion in determining the most suitable application. This study develops a Decision Support System (SKS) to recommend the best e-wallet objectively. Using Profile Matching, the research compares the actual profile of each e-wallet against the ideal profile based on 5 criteria and 15 sub-criteria. Data obtained from 30 respondents. The process includes GAP mapping, weight conversion, Core Factor-Secondary Factor clustering, total value calculation per criteria, and then weighted aggregation for ranking. The final recommendation places DANA as the best alternative (3.86), followed by GoPay (3.80) and OVO (3.72). These results show that Profile Matching effectively handles multi-criteria decision-making in the consumer fintech space and provides consistent, transparent and replicable evaluation. The findings provide practical benefits for users in choosing an e-wallet as well as academic contributions in the form of structured application of decision-making methods in the context of digital payments. Further research is recommended to expand the sample, add criteria (cost, customer service, privacy), conduct a test of comparison methods, perform sensitivity tests, and integrate behavioral data to improve external validity and accuracy of recommendations.</em></p>

2025-09-04T00:00:00+00:00 Copyright (c) 2025 Indra Pratistha, Ni Putu Diva Septa Widiari, Ni Luh Putu Berliana Dewi, I Made Krisna Jaya, I Gede Iwan Sudipa