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All Journal JUSIFO : Jurnal Sistem Informasi
Satriawan Deswana
Department of Informatics, Universitas Nasional

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Application of the Levenshtein Algorithm for Optimizing Search Accuracy in a Web-Based Knowledge Management System Moch. Firmansyah; Satriawan Deswana
JUSIFO : Jurnal Sistem Informasi Vol 10 No 2 (2024): JUSIFO (Jurnal Sistem Informasi) | December 2024
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v10i2.21951

Abstract

This study explores the integration of the Levenshtein algorithm into a web-based Knowledge Management System (KMS) to optimize information retrieval for Academic Service Centers (ASC) in universities. By addressing common challenges such as typographical errors during searches, the Levenshtein algorithm enhances the system's ability to deliver accurate results, improving user experience and service efficiency. The KMS is designed to manage diverse knowledge resources, including procedural guides, tutorials, and documentation, while ensuring accessibility and relevance for students and staff. Testing revealed an 88.2% similarity score in handling string mismatches, demonstrating the system’s effectiveness in managing unstructured academic data. The findings emphasize the value of incorporating fuzzy matching techniques for robust knowledge management, particularly in higher education contexts where accurate information retrieval is critical. This research contributes a scalable framework for implementing KMS using string similarity algorithms, with potential applications extending to broader organizational settings.
Co-Authors Moch. Firmansyah