đ
02 February 2026
DOI: 10.30787/restia.v4i1.2100
Depression Prediction Among University Students Using a Random Forest Algorithm Based on Psychosocial Data: Prediksi Depresi Mahasiswa: Pendekatan Berbasis Data Psikososial Menggunakan Algoritma Random Forest
Jurnal Riset Sistem dan Teknologi Informasi
Universitas 'Aisyiyah Surakarta
đ Abstract
College students' mental health is a critical issue that is gaining increasing attention, particularly regarding depression, which significantly impacts quality of life and academic achievement. This study aims to develop a predictive model for depression in college students based on psychosocial data using the Random Forest algorithm. The data used is a public secondary dataset from Kaggle with 1,000 samples, covering demographic variables, lifestyle, and psychological indicators. The analysis process included data preprocessing, class balancing, model training, and evaluation using accuracy, precision, recall, F1-score, and confusion matrix metrics. Test results showed that the Random Forest model was able to predict depression with 87.0% accuracy, 86.1% precision, 87.4% recall, and 86.7% F1-score, demonstrating good and stable performance. Word cloud visualization identified academic pressure, stress, and anxiety as dominant factors. Compared to previous research using the SVM algorithm, Random Forest demonstrated improved performance, particularly in handling complex and imbalanced data. This study confirms the effectiveness of the Random Forest-based machine learning approach in supporting the early detection of college students' depression and provides a foundation for the development of mental health monitoring systems in higher education settings.
đ Keywords
#Student Depression; Machine Learning; Prediction; Random Forest
âšī¸ Informasi Publikasi
Tanggal Publikasi
02 February 2026
Volume / Nomor / Tahun
Volume 4, Nomor 1, Tahun 2026
đ HOW TO CITE
Abiyya, Abiyya Alfahrizi Putra Arifiansyah; Afandi, Muhammad; Dwi Riskianto, Dodi; Sudriyanto, Sudriyanto, "Depression Prediction Among University Students Using a Random Forest Algorithm Based on Psychosocial Data: Prediksi Depresi Mahasiswa: Pendekatan Berbasis Data Psikososial Menggunakan Algoritma Random Forest," Jurnal Riset Sistem dan Teknologi Informasi, vol. 4, no. 1, Feb. 2026.
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