Siti Sarah Harahap
Program Studi Informatika, Universitas Satya Terra Bhinneka, Indonesia

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Analysis of Factors Causing Toddler’s Malnutrition in Medan City Using the Random Forest Method Simamora, Windi Saputri; Harahap, Siti Sarah; Pratama, Andre
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15380

Abstract

Malnutrition and severe malnutrition in toddlers remain critical public health concerns that impair physical growth, cognitive development, and long-term productivity. Deficiencies in essential nutrients increase the risks of stunting, weakened immunity, and developmental delays. Although interventions such as supplementation and routine anthropometric monitoring are implemented, comprehensive identification of multidimensional causal factors is still limited, reducing the effectiveness of targeted policies. This study aims to predict toddler nutritional status using a quantitative data mining approach. A dataset consisting of 328 samples and 17 features was collected from health facilities in Medan City, including Puskesmas, the Health Office, and Posyandu. A Random Forest Classifier was developed with missing-value handling, feature engineering, and feature importance analysis to identify dominant predictors of nutritional outcomes. The model achieved an overall accuracy of 92.42 percent and showed strong performance in identifying the “Normal” class, although predictive sensitivity for minority classes such as “Gizi Kurang” and “Gizi Buruk” remained comparatively lower. Feature importance analysis indicated that complete immunization and health insurance ownership were the most influential determinants of nutritional status. This research provides a machine learning–based tool for early nutritional risk prediction and offers data-driven insights to support more precise malnutrition interventions. Future enhancement may include expanding feature diversity and applying advanced interpretability techniques to strengthen model reliability. The findings reinforce the importance of evidence-based nutrition policy strategies that prioritize early prevention and improved child health outcomes.
Menanamkan Nilai-Nilai Kewarganegaraan Global pada Generasi Z Sinuhaji, Desmalia Febrina; Manik, Gracia Cerilya Putri; Ramadhani, Jopani; Harahap, Siti Sarah; Khairunnisa, Khairunnisa
Jurnal Pendidikan Tambusai Vol. 10 No. 1 (2026)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v10i1.37371

Abstract

Globalisasi telah membawa perubahan dalam kehidupan masyarakat, khususnya dalam bidang pendidikan dan pembentukan karakter generasi muda. Generasi Z sebagai generasi yang tumbuh dalam era digital memiliki akses luas terhadap informasi global, namun juga menghadapi berbagai tantangan seperti rendahnya kesadaran sosial, konflik budaya, serta penyebaran informasi yang tidak akurat. Penelitian ini menggunakan metode studi literatur dengan pendekatan deskriptif kualitatif melalui analisis berbagai jurnal ilmiah yang relevan dalam sepuluh tahun terakhir. Hasil analisis menunjukkan bahwa terdapat beberapa komponen utama dalam kewarganegaraan global pada generasi Z, yaitu kesadaran global, toleransi terhadap keberagaman budaya, tanggung jawab sosial, literasi digital, serta partisipasi sosial dalam masyarakat.