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

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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.

Availability
Inventory Code Barcode Call Number Location Status
2507001257T164870T1648702025Central Library (Reference)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1648702025
Publisher
Indralaya : Magister Ilmu Komputer, Fakultas Ilmu Komputer.,
Collation
xv, 166 hlm.; ilus.; tab.; 29 cm.
Language
Indonesia
ISBN/ISSN
-
Classification
004.07
Content Type
Text
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Ilmu Komputer
Specific Detail Info
-
Statement of Responsibility
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No other version available

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