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All Journal Tibanndaru : Jurnal Ilmu Perpustakaan dan Informasi Journal of Applied Science, Engineering, Technology, and Education
Nguyen, Lan Thi
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science Other

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Explainable Dynamic Weighted Ensemble Learning for Depression Risk Stratification and Tiered Intervention in University Students Wang, Youhao; Chansanam, Wirapong; Nguyen, Lan Thi
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

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Abstract

Depression among college students is a growing public health concern, with existing screening methods often limited in sensitivity, scalability, and interpretability. This study developed and validated an explainable machine learning framework for early depression risk identification and tiered intervention planning in universities. We propose a Dynamic Weighted Ensemble Model (DWEM) that integrates five tree-based algorithms, with weights optimized via Bayesian search and cost-sensitive learning. Informed by the diathesis–stress framework, features were engineered and interpreted using SHAP to provide global and local explanations. The model was evaluated using stratified five-fold cross-validation with careful control of data leakage. The DWEM achieved an accuracy of 94.96% and an AUC of 98.95%, with balanced sensitivity and specificity, outperforming both single-model benchmarks and traditional questionnaire-based screening. SHAP analysis stably identified academic performance, stress-burnout, sleep problems, and protective factors as key risk determinants. Based on these outputs, a probability-based three-tier intervention framework was designed to translate risk stratification into actionable clinical support. This study demonstrates that an optimized ensemble approach, combined with theory-driven features and robust explainability, can provide a reliable, transparent, and practical tool for scalable mental health screening, supporting a shift toward proactive, data-driven prevention and efficient resource allocation in campus settings.
Strategic Information Needs (SIN) based on Demographic and the Regional Competitiveness Index in Supporting Public Library Services to Achieve SDGs (Comparative Study in Seven Provinces with the Highest RCI/IDSD Scores in Indonesia) Widiyawati, Anita Tri; Kwiecien, Kanyarat; Nguyen, Lan Thi
Tibanndaru : Jurnal Ilmu Perpustakaan dan Informasi Vol. 10 No. 1 (2026): Tibanndaru: Jurnal Ilmu Perpustakaan dan Informasi
Publisher : Universitas Wijaya Kusuma Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30742/tb.v10i1.5353

Abstract

Purpose Research. The uneven distribution of demographic characteristics and regional competitiveness across Indonesian provinces creates structurally differentiated information needs that existing public library services have yet to address systematically. Although the Regional Competitiveness Index (RCI/IDSD) developed by BRIN provides a comprehensive twelve-pillar framework for assessing regional development performance, no prior study has integrated this instrument with demographic analysis to map strategic information needs comparatively across high-performing provinces, leaving a critical gap in both theoretical and policy literature on information services within decentralized governance contexts. Research Method. This study employed a qualitative descriptive design combining document analysis and comparative analysis. Secondary data is drawn from demographic data of each province from the Central Statistics Agency, IDSD data from BRIN in 2025, and supporting peer-reviewed literature. Data collection was followed by content analysis, the construction of a structured comparative matrix, typological clustering, and interpretive synthesis. Analysis Data. Data were analyzed in three sequential stages: content analysis, comparative and typological analysis, and strategic synthesis, validated through source triangulation and standardized conceptual categories. Results. Four distinctive typologies emerged: Metropolitan Formal, Tourism-Cultural, Urban Buffer, and Agrarian-Inclusive, each corresponding directly to measurable SDG attainment gaps across SDGs 1, 2, 3, 4, 8, 9, 10, 11, and 17. At the same time, SDG 6, 7, 13, 14, and 15 remained unreachable due to IDSD's inherent environmental blind spots. Conclusion. Strategic information needs are systemically differentiated, requiring asymmetric library interventions. Future research should develop a library-readiness index that integrates all 12 IDSD pillars and incorporates environmental indices to achieve holistic coverage of the SDGs. Keywords: Information Needs; Regional Competitiveness Index; Demographic Analysis; Public Library; Sustainable Development Goals
Co-Authors Chansanam, Wirapong Kwiecien, Kanyarat Wang, Youhao Widiyawati, Anita Tri