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All Journal KORISA: Jurnal Kolaborasi Riset Sarjana
Glagah Setyowisnu
Universitas Jenderal Soedirman

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Sistem Pendukung Keputusan untuk Klasifikasi Risiko Diabetes Menggunakan Algoritma Decision Tree Hafizah Zuriyat Tayyibah; Toat Tuloh; Khoirun Nisa; Glagah Setyowisnu; Rosyid Al-Hakim; Esa Putri
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 2 No. 3 (2025): Jurnal Kolaborasi Riset Sarjana Volume 2 Nomor 3 September 2025
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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Diabetes mellitus is a chronic metabolic disease that requires early diagnosis to prevent serious complications. This study aims to develop a diabetes risk classification model using the Decision Tree algorithm, based on a Kaggle dataset consisting of 520 patient records with 17 clinical and demographic features. The evaluation results show that the proposed model performs well, achieving an accuracy of 95.19%, precision of 1.00, recall of 0.93, and an F1-score of 0.96 for the positive class. These results outperform six previous studies that employed algorithms such as C4.5, SVM, Adaboost, KNN, and Naïve Bayes, both in terms of accuracy and sensitivity in detecting diabetes cases. In addition to its strong performance metrics, the study highlights the model’s interpretability through a visualized decision tree, enabling healthcare professionals to better understand the classification logic. With broader attribute coverage and comprehensive performance evaluation, the model is considered effective and suitable for developing accurate and transparent decision support systems for early diabetes diagnosis.
Implementasi Kalkulus Trigonometri pada Pemodelan dan Visualisasi Gelombang Stasioner Menggunakan Python Roziana Fauzun; Rosyid Al-Hakim; Anggit Wirasto; Hadi Jayusman; Glagah Setyowisnu; Tri Famuji
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 3 No. 1 (2026): Vol. 3 No. 1 (2026): Jurnal Kolaborasi Riset Sarjana Volume 3 Nomor 1 Januari 2
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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This study explores the application of calculus concepts in computational modeling and visualization of standing waves in open and closed pipe systems. Standing wave phenomena are fundamental topics in wave physics and are closely related to sinusoidal functions commonly studied in calculus courses, particularly in Informatics education. However, the integration of calculus-based mathematical representations with computational visualization remains limited in undergraduate learning contexts. The objective of this research is to implement trigonometric calculus concepts in modeling sinusoidal standing waves and to visualize their behavior in open and closed pipes using Python-based computation. The research employs a quantitative computational approach, where mathematical wave equations derived from calculus principles are translated into numerical simulations. The study does not involve human participants; instead, data are generated from analytical wave functions and processed through computational visualization techniques using Python. The results demonstrate that the computational models successfully represent the characteristics of standing waves, including nodes and antinodes, in both open and closed pipe configurations. The visualizations clearly illustrate differences in wave patterns resulting from boundary conditions, confirming theoretical expectations from calculus-based wave equations. These findings indicate that computational modeling can effectively bridge abstract calculus concepts and observable physical phenomena. In conclusion, this study contributes a calculus-oriented computational framework that enhances conceptual understanding of standing waves through visualization. The novelty of this research lies in its explicit integration of trigonometric calculus concepts with computational simulation as a pedagogical approach in Informatics-oriented calculus learning.
Co-Authors Esa Putri Hadi Jayusman Hafizah Zuriyat Tayyibah KHOIRUN NISA Rosyid Al-Hakim Roziana Fauzun Toat Tuloh Tri Famuji Wirasto, Anggit