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Bagus, Yerezqy
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Computer Science & IT Decision Sciences, Operations Research & Management Social Sciences

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KLASIFIKASI DEPRESI PADA PELAJAR BERSDASARKAN GAYA HIDUP MENGGUNAKAN METODE TREE-BASED Haq, Dina Zatusiva; Bagus, Yerezqy; Maharani, Masti Fatchiyah; Dica Fitrani, Laqma; Pratama, Moch Deny
Journal of Data Science Theory and Application Vol. 5 No. 1 (2026): JASTA
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/enqnkx98

Abstract

Depresi pada mahasiswa merupakan salah satu masalah kesehatan mental yang berdampak signifikan terhadap kualitas pendidikan dan produktivitas. Penelitian ini bertujuan untuk mengklasifikasikan depresi berdasarkan faktor gaya hidup menggunakan metode tree-based machine learning, yaitu Decision Tree, Random Forest, XGBoost, dan LightGBM. Data yang digunakan adalah Depression Student Dataset dengan 502 sampel yang mencakup atribut demografis, akademik, dan gaya hidup. Proses penelitian meliputi preprocessing data, pembagian data latih dan uji, pembangunan model, serta evaluasi menggunakan metrik akurasi, sensitivitas, dan spesifisitas. Hasil pengujian menunjukkan bahwa XGBoost memberikan performa terbaik dengan akurasi 94%, sensitivitas 100%, dan spesifisitas 87%, diikuti oleh LightGBM dengan akurasi 92%. Temuan ini menegaskan bahwa algoritma berbasis boosting lebih unggul dibandingkan metode pohon tunggal maupun bagging, sehingga dapat dimanfaatkan sebagai alat bantu deteksi dini depresi pada mahasiswa. Penelitian ini berkontribusi pada pengembangan model prediktif berbasis data yang mendukung pencapaian Sustainable Development Goals (SDG) terkait pendidikan berkualitas dan pekerjaan layak.
ANALISIS KUALITAS PERANGKAT LUNAK LEARNING MANAGEMENT SYSTEM BERBASIS WEB DALAM MENDUKUNG SDG’S 4 (QUALITY EDUCATION) MENGGUNAKAN ISO/IEC 25010 BAGUS, YEREZQY; Haq, Dina Zatusiva; Fitrani, Laqma Dica; Maharani, Masti Fatchiyah
Journal of Data Science Theory and Application Vol. 5 No. 1 (2026): JASTA
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/z69ayx52

Abstract

Sustainable Development Goals (SDGs) Goal 4 emphasizes the importance of inclusive and equitable quality education. The utilization of information technology, particularly web-based Learning Management Systems (LMS), plays a significant role in supporting sustainable and accessible education. This study aims to analyze the software quality of a web-based LMS in supporting SDGs 4 (Quality Education) using the ISO/IEC 25010 standard. A quantitative research method with a survey approach was employed. Data were collected through questionnaires distributed to 40 LMS users consisting of students and lecturers. The software quality aspects analyzed include functional suitability, usability, reliability, and maintainability. The results indicate that the LMS demonstrates good overall software quality, with functional suitability and usability achieving very good ratings. However, reliability and maintainability aspects still require improvement to ensure long-term system sustainability. This study is expected to serve as a reference for the development and evaluation of sustainable educational software systems.
Co-Authors Dica Fitrani, Laqma Fitrani, Laqma Dica Haq, Dina Zatusiva Maharani, Masti Fatchiyah Pratama, Moch Deny