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All Journal Infotek : Jurnal Informatika dan Teknologi Smatika Jurnal : STIKI Informatika Jurnal
Sri Widoyoningrum
Universitas Hasyim Asy’Ari
Computer Science & IT Control & Systems Engineering Engineering

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Implementasi Metode Rule-Based Scoring Pada Sistem Penilaian Resiko Penyakit Diabetes Dan Hipertensi Pada Pasien Umum Di Puskesmas Berbasis Web Armando Tegar Hedonio; Sri Widoyoningrum
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.35050

Abstract

Health screening procedures at primary healthcare facilities play a crucial role in early disease risk detection. However, the screening process at the Jelakombo Community Health Center is still performed manually, resulting in inadequate data recording and risk assessment. This study aims to design and implement a web-based disease risk assessment system for general patients using the Rule-Based Scoring method. The system was developed using the Laravel framework and a MySQL database, utilizing a digital questionnaire as a data collection medium. The Rule-Based Scoring method was used to calculate a total score based on user responses and classify risk levels into low, medium, and high categories. The results showed that the system was successfully implemented and all main functions of the system ran as required based on Black Box Testing. The system is capable of managing patient data, filling out questionnaires, automatically calculating risk scores, and displaying risk classification results digitally. The developed system can be used as an initial screening tool to support the early detection of disease risks in general patients at the Jelakombo Community Health Center.
Implementation of K-Means Clustering with Attribute Adjustment and Cluster Validation in a Web-Based TPQ Student Assessment Information System Aura Firdausiyah; Sri Widoyoningrum
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 16 No 02 (2026): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v16i02.2386

Abstract

This study aims to implement K-Means Clustering with attribute-level adjustment in a web-based TPQ student assessment information system and evaluate the quality of the resulting clustering results. The study was conducted at TPQ Ashfiya' Kauman Ngoro Jombang using a dataset of 40 students at the Al-Qur'an level obtained from learning assessment data. The variables used include fashohah, tajwid, ghorib and musykilat, as well as voice and melody. The clustering process was carried out using the K-Means algorithm to group students based on similarity in scores, while attribute adjustment was applied in the system design to prevent unused assessment components from being interpreted as low ability scores. Evaluation of cluster quality was carried out using the Sum of Squared Error (SSE), Silhouette Score, and Davies-Bouldin Index (DBI). Based on the evaluation results, K=3 was selected because it formed an interpretable grouping structure and was supported by the Elbow Method. The results show that the application of the K-Means method in the information system can help group students' abilities in a more structured and objective manner and support assessment data management by TPQ teachers. However, the results of this study are a case study in the TPQ environment studied and have not been intended for generalization to a wider population.
Co-Authors Armando Tegar Hedonio Aura Firdausiyah