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Menampilkan 1–2 dari 2 artikel
Implementasi Random Forest dan SMOTE untuk Prediksi Risiko Putus Sekolah Dasar Menuju Indonesia Emas 2045
Muhammad Alfathan Harriz
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Vol 3
, No 2
(2025)
This research investigates the implementation of Random Forest algorithms combined with Synthetic Minority Over-sampling Technique (SMOTE) to predict elementary school dropout rates in Indonesia, supporting the Indonesia Emas 2045 vision. A significant gap was identified in previous studies, which, despite utilizing artificial intelligence for dropout interventions, had not integrated temporal dimensions into data analysis. A temporal data-based classification model was developed using Indonesia...
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Assessing the Psychological Burden of Eco-Anxiety Among Urban Youth and the Therapeutic Role of Green Space Exposure for Public Health Interventions
Muhammad Alfathan Harriz
; Bambang Eko Supriyanto
; Sumaira Aslam
Journal of Health Sciences, Nursing and Nutrition
Vol 1
, No 4
(2024)
This study investigates the effectiveness of green-space–based interventions in reducing eco-anxiety among urban adolescents, a population increasingly vulnerable to climate-related psychological distress. Eco-anxiety, characterized by persistent worry, cognitive overload, and emotional tension in response to environmental change, has emerged as a significant mental-health challenge. The intervention examined in this research involved structured exposure to natural environments combined with gui...
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