CLAug 28, 2025

Searching the Title of Practical Work of the Informatics Engineering Bachelor Program with the Case Base Reasoning Method

arXiv:2508.20442v1h-index: 3
Originality Synthesis-oriented
AI Analysis

This is an incremental improvement for students or faculty in informatics engineering programs needing efficient title searches.

The paper tackles the problem of searching for practical work titles in an informatics engineering bachelor program by applying the Case Base Reasoning method with TF-IDF vectorization and Cosine Similarity, achieving the highest average match score in tests on 705 titles.

Case Base Reasoning (CBR) is a case solving technique based on experience in cases that have occurred before with the highest similarity. CBR is used to search for practical work titles. TF-IDF is applied to process the vectorization of each practical work title word and Cosine Similarity for the calculation of similarity values. This system can search either in the form of titles or keywords. The output of the system is the title of practical work and the match value of each title. Based on the test results using 705 practical work titles, testing was carried out with five titles and carried out in two stages. The first stage searches with existing titles and the second stage randomizes the title from the first stage. And the results obtained in the second stage are the same number of titles found and the highest average match score.

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