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All Journal Jurnal Pengabdian Masyarakat Sains dan Teknologi Sintek Kuwera
Mario Zulhadi Amrullah
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Agriculture, Biological Sciences & Forestry Computer Science & IT Education Electrical & Electronics Engineering Social Sciences Other

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Aplikasi Interaktif Berbasis R Studio Untuk Prediksi Nilai Ujian Mahasiswa Menggunakan Algoritma Random Forest Dengan Evaluasi Multi-Variabel Purwanto; Fisa Wisnu Wijaya; Dora Bernadisman; Sutar; Mario Zulhadi Amrullah
Jurnal Sistem Informasi dan Teknologi Vol 6 No 1 (2026): Jurnal Sistem Informasi dan Teknologi (SINTEK)
Publisher : LPPM STMIK KUWERA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56995/sintek.v6i1.255

Abstract

Penelitian ini bertujuan untuk mengembangkan model prediksi nilai ujian mahasiswa menggunakan algoritma Random Forest yang diimplementasikan melalui aplikasi interaktif berbasis R Studio. Instrumen penelitian yang terdiri dari 48 item diuji validitasnya dengan seluruh item menunjukkan nilai r hitung > r tabel (0,284), sehingga dinyatakan valid. Uji reliabilitas menggunakan Cronbach’s Alpha menghasilkan nilai 0,89, menunjukkan instrumen sangat reliabel. Model prediksi mengintegrasikan variabel akademik dan non-akademik, meliputi skor kognitif, afektif, psikomotorik, jam belajar, kehadiran kelas, kualitas tidur, dukungan fasilitas, dan dukungan keluarga. Hasil analisis menunjukkan skor kognitif dan kehadiran kelas menjadi variabel paling dominan dalam mempengaruhi nilai akhir mahasiswa. Model Random Forest menghasilkan performa prediksi yang baik dengan Root Mean Square Error (RMSE) sebesar 3,35 dan koefisien determinasi (R²) sebesar 0,305. Aplikasi interaktif yang dikembangkan memudahkan visualisasi profil capaian mahasiswa dan membantu pengelola akademik dalam pengambilan keputusan untuk meningkatkan prestasi akademik secara efektif.
School-Based Support for Monitoring the Nutritional Status of Primary School: Initial Reflections on the Implementation of the Free Nutritious Meals Programme as a Tool for Human Resource Development Nayla Desviona; Lizabeth Sari Dewi; Asramid Yasin; Mario Zulhadi Amrullah; Viola Novaryca; Ika Dwimaya Roza; Deby Aisyah Rj Nur; Wella Sandria
Jurnal Pengabdian Masyarakat Sains dan Teknologi Vol. 5 No. 2 (2026): Juni: Jurnal Pengabdian Masyarakat Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/jpmsaintek.v5i2.1091

Abstract

Nutritional problems among school-age children remain an important challenge in human resource development in Indonesia. Adequate nutritional status is essential for supporting physical growth, cognitive development, learning achievement, and future productivity. Schools play a strategic role in promoting children's health through nutritional monitoring and educational interventions, particularly during the implementation of the Free Nutritious Meal Program (MBG). This community service activity aimed to monitor students’ nutritional status and strengthen awareness of the importance of nutrition as a foundation for human resource development. The activity was conducted on April 5–6, 2026, at SD Negeri 09 Jambi City and involved 261 students from grades I to III. A school-based assistance approach was implemented through anthropometric measurements, including body weight and height assessments, followed by balanced nutrition education. The findings revealed that 77.0% of students had normal nutritional status, while 8.8% were undernourished, 9.6% were overweight, and 4.6% were classified as obese. The activity also increased school awareness regarding the importance of continuous nutritional monitoring and evidence-based health management. These findings suggest that school-based nutritional monitoring can support the implementation of the Free Nutritious Meal Program and serve as an initial effort to strengthen human resource development by fostering healthier, more productive, and higher-quality future generations.
Co-Authors Asramid Yasin Deby Aisyah RJ Nur Dora Bernadisman Fisa Wisnu Wijaya Ika Dwimaya Roza Lizabeth Sari Dewi Nayla Desviona Purwanto Sutar Viola Novaryca Wella Sandria