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All Journal Jurnal Kebijakan Publik Jurnal Ilmiah Mahasiswa FEB Prosiding SNATIF Mutiara Medika: Jurnal Kedokteran dan Kesehatan GARIS Jurnal Mahasiswa Jurusan Arsitektur Terampil : Jurnal Pendidikan dan Pembelajaran Dasar Inovasi : Jurnal Ekonomi, Keuangan, dan Manajemen JURNAL PENDIDIKAN TAMBUSAI Jurnal Review Pendidikan dan Pengajaran (JRPP) MADROSATUNA : Jurnal Pendidikan Guru Madrasah Ibtidaiyah Journal La Sociale Al-Mu'awanah IBLAM Law Review Parta: Jurnal Pengabdian Kepada Masyarakat Diniyah: Jurnal Pendidikan Dasar Prosiding Seminar Nasional Teknik Sipil UMS Jurnal Bawaslu Provinsi Kepulauan Riau Innovative: Journal Of Social Science Research Jurnal Pengabdian Tri Bhakti Jurnal Riset Sistem dan Teknologi Informasi SIMPLEX: Journal of Economic Management Jurnal Pengabdian Sosial Journal of Publicness Studies
Muhammad Afandi
Bagian Keperawatan Dasar dan Manajemen Keperawatan. Program Studi Ilmu Keperawatan Fakultas Kedokteran dan Ilmu Kesehatan Universitas Muhammadiyah Yogyakarta
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Bapak Prediksi Depresi Mahasiswa Menggunakan Algoritma Random Forest Berbasis Data Psikososial 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 Abiyya, Abiyya Alfahrizi Putra Arifiansyah; Afandi, Muhammad; Dwi Riskianto, Dodi; Sudriyanto, Sudriyanto
Jurnal Riset Sistem dan Teknologi Informasi Vol. 4 No. 1 (2026): Vol. 4 No. 1 (2025): Jurnal Riset Sistem dan Teknologi Informasi (RESTIA)
Publisher : Universitas Aisyiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30787/restia.v4i1.2100

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.
Implementation of Product Quality Improvement Using the Six Sigma Method (DMAIC) to Minimize Defects in the Reusable Diaper Industry Afandi, Muhammad; Hermansyah, Muhammad
Journal La Sociale Vol. 7 No. 1 (2026): Journal La Sociale
Publisher : Borong Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journal-la-sociale.v7i1.2588

Abstract

Reusable diapers are becoming an increasingly popular eco-friendly option, but the industry faces challenges in maintaining product quality for customer satisfaction. This study analyzes and improves the quality of reusable diapers using the Six Sigma method using the DMAIC (Define, Measure, Analyze, Improve, Control) approach. In the Define stage, quality issues are identified through customer complaints and product inspections. The Measure stage involves collecting defect data and analyzing it using control charts. The Analyze stage utilizes Fishbone Diagrams and FMEA to identify the root causes of defects. In the Improve stage, production process improvements are made, including raw material control and standard work procedures. The Control stage ensures continuous improvement through the implementation of SOPs and regular monitoring. The results show a DPMO value of 28,577 with a sigma level of 3.41, meaning that out of 1,000,000 products, there are potentially 28,577 defects. The implementation of Six Sigma has proven effective in improving the quality of reusable
Co-Authors Abdul Hamid Abiyya, Abiyya Alfahrizi Putra Arifiansyah Afrina Rahma Zuanita, Afrina Rahma Ahmad MAULANA Ahmad, Hilfi Harisan Aisyah, Andi Aliyah, Wahyuni Jannatin Alpina Damayanti, Alpina Anastasya Latubessy Anto Budi Listyawan Apriel, Neshia Liza Arief Susanto Arif Rahman Arif Wibowo Arum Pratiwi Astuti, Agusta Sri Auliyantika, Yanti Awalia, Eby Sania Bahar, Anisa Bakri Hasanuddin Bhagaskara, Andhika Christiandi, Jeannette Anastasia Christie, Rahadian Yoga Dedi Satriawan DJOKO ROHADI WIBOWO, DJOKO ROHADI Dwi Riskianto, Dodi Dwi, Dodi Dwi Riskianto Edo Maranata Tambunan ERDIYANSYAH, ERDIYANSYAH Fandi, Roy Haris, Fahni Herdiyansyah, Muhammad Iqbal Hutabarat, Herman Fasiona Ida wati Irma Nurjannah, Irma KORNELIUS, YOBERTH Laili, Wahyu Nur Mappatoba, Mappatoba Mifta, Miftahul Janah Mohammad Irfan Mufti Mubarokah, Pintaria Muhammad Hermansyah Nasrullah Nasution, Amanda Sari NURJANAH, ISNAINI NURJANAH, ISNAINI Nurul Husna Pradana, Anandka Pricylia Chintya Dewi Buntuang Puspitaningrum, Endah Tri Putra, Fajar Bagus Rahmawati Halim Ramadhan, M. Raihan RIALDI, MUHAMMAD Riyanto, Kuncoro Budi Sembiring, Rya Elita Br Siregar, Annisa Putri Siregar, Siti Jabeda Suasa Suhada, Bambang Tahir, M. Arzal Tsaqila, Hasna Vany, Suci Dwi Wahyuningsih, Annisa Yuda, Muhammad Alif Yunita Sari