EXPERIMENTAL COMPARISON OF MACHINE LEARNING ALGORITHM PERFORMANCE FOR OPTIMIZING ELECTIVE SUBJECT SELECTION IN PHASE F OF THE MERDEKA CURRICULUM

In phase f of the Merdeka Curriculum, electives are an important element at the senior high school level. Students are faced with the challenge of choosing four out of twelve elective subjects that are relevant to their talents, interests, further study plans and career goals over a two-year study p...

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Bibliographic Details
Published in:Jurnal Teknik Informatika (Jutif) Vol. 5; no. 4; pp. 241 - 251
Main Author: Mulyadi, Dedy
Format: Journal Article
Language:English
Published: 01.08.2024
ISSN:2723-3863, 2723-3871
Online Access:Get full text
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