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All Journal Smatika Jurnal : STIKI Informatika Jurnal
Muchamad Firmansyah Tubira
Informatika, Universitas Muhammadiyah Sidoarjo, Indonesia
Computer Science & IT

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Prediksi Status Pekerjaan Lulusan SMK Menggunakan Algoritma Random Forest: Analisis Multifaktor Akademis, Sosial, dan Keluarga Muchamad Firmansyah Tubira; Yulian Findawati; Rohman Dijaya; Yunianita Rahmwati
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 02 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i02.1804

Abstract

This study aims to develop a prediction model for the employment status of senior high school (SMK) graduates in Indonesia using multifactor analysis involving academic performance, social environment, and society. This study uses a quantitative approach with the Random Forest algorithm to collect large amounts of data and provide specific predictions. The model predicts the employment status of SMK graduates by 76%, indicating good work performance. This study also found that significant community factors significantly affect the employment status of SMK graduates (36.5%), followed by social factors (35.2%) and academic factors (25.9%). This study encourages schools, parents, and the government to focus on holistic SMK education, such as collaboration between schools and industry, to improve the employment status of SMK graduates.
Co-Authors Rohman Dijaya Yulian Findawati Yunianita Rahmwati