ANALISIS PEMILIHAN JURUSAN PADA CALON SISWA SMK NEGERI 4 PALEMBANG BERDASARKAN ASSOCIATION RULE PADA FAKTOR-FAKTOR PENENTU PEMILIHAN JURUSAN MENGGUNAKAN RANDOM FOREST

PRAYOGA, MUHAMAD HAFIZ BUDI and Ermatita, Ermatita (2025) ANALISIS PEMILIHAN JURUSAN PADA CALON SISWA SMK NEGERI 4 PALEMBANG BERDASARKAN ASSOCIATION RULE PADA FAKTOR-FAKTOR PENENTU PEMILIHAN JURUSAN MENGGUNAKAN RANDOM FOREST. Masters thesis, Sriwijaya University.

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Abstract

Choosing a major is a crucial decision for prospective students at SMK Negeri 4 Palembang, influenced by various academic and non-academic factors. This study aims to analyze the determinants of major selection using the Association Rule method and the Random Forest algorithm. Association Rule was utilized to identify patterns and relationships between key variables such as academic performance (Mathematics, Science, English, and Indonesian), while Random Forest was applied to validate and enhance the accuracy of the prediction model.The dataset used in this study consisted of 662 entries of prospective students from the 2024/2025 academic year, including academic scores, major preferences, and other relevant information. The analysis involved data preprocessing, the application of Association Rule to uncover significant patterns, and the use of Random Forest to develop a predictive model for major selection. The results showed that combining these two methods produced a high-accuracy prediction model and revealed strong correlations with factors influencing the decision-making process.This study provides strategic insights for schools to assist prospective students in selecting majors that align with their interests and potential. It also supports data-driven decision-making to improve the quality of vocational education.

Item Type:	Thesis (Masters)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television > TK5105.F6617 Data transmission systems, Computer networks T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television > TK5105.S73 Data transmission systems Computer networks
Divisions:	09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User:	Muhamad Hafiz Budi Prayoga
Date Deposited:	05 Mar 2025 02:05
Last Modified:	05 Mar 2025 02:05
URI:	http://repository.unsri.ac.id/id/eprint/164870

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