International Journal of Advances in Data and Information Systems
Vol. 6 No. 2 (2025): August 2025 - International Journal of Advances in Data and Information Systems

A Content-Based Filtering Approach for Matching Village Potentials with Community Service Programs

Sarja, Ni Luh Ayu Kartika Yuniastari (Unknown)
Indrawan, I Kadek Surya (Unknown)
Putrawan, Agus Adi (Unknown)
Sarja, Ni Ketut Pradani Gayatri (Unknown)



Article Info

Publish Date
13 Jun 2025

Abstract

Village development through the development of village potential is carried out by universities in the form of community service. With the community service program, it is expected to help villages in village development so that they can become independent villages. However, in its implementation, the designed assistance programs are not specific and not aligned with the needs and potential of the village. As a result, the assistance provided is less effective and having minimal impact on village development. One of the causes is the unavailability of data on village potential and problems systematically and structured. Based on these problems, a recommendation system is needed that is able to provide assistance program proposals that are in accordance with the potential and problems of the village specifically and relevantly. This research uses Content-Based Filtering which provides recommendations based on the similarity of input data content with available historical data. The purpose of this research is to make the planning and implementation process of village assistance programs more efficient, effective, and on target. The results of the research are that the Content-Based Filtering method has proven effective in providing recommendations that are appropriate for mapping village potential and village assistance programs.

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Journal Info

Abbrev

IJADIS

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Advances in Data and Information Systems (IJADIS) (e-ISSN: 2721-3056) is a peer-reviewed journal in the field of data science and information system that is published twice a year; scheduled in April and October. The journal is published for those who wish to share ...