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All Journal Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika
Mubarok, Ahmad Hasan
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Computer Science & IT Electrical & Electronics Engineering

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Parameter Testing on Random Forest Algorithm for Stunting Prediction Mubarok, Ahmad Hasan; Pujiono, Pujiono; Setiawan, Dicky; Wicaksono, Duta Firdaus; Rimawati, Eti
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 1 (2025): Research Article, January 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.14264

Abstract

Stunting is a significant public health problem, especially in developing countries like Indonesia. It is often caused by chronic malnutrition in the first 1,000 days of life, which can impact a child's physical growth and cognitive development. To find risk factors and find effective solutions, data analysis was conducted by utilising machine learning to predict stunting. This research uses the Random Forest algorithm with a focus on setting parameters such as n_estimators, max_depth, and the number of features to optimise model efficiency and accuracy. Using the 2023 Indonesian Health Survey data consisting of 25,800 data, this study managed to get the highest accuracy of 91.65% by a combination of Random Forest with parameter settings n_estimators 200, max_depth 30, and Synthetic Minority Oversampling Technique (SMOTE). Despite the high accuracy results, there are limitations such as potential noise coming from synthetic data from SMOTE and the limited number of features analysed. It is hoped that this research can contribute to the field of machine learning model development that is practically used to predict stunting, and support the government's efforts to reduce the stunting prevalence rate to 14% as targeted. This model also provides strategic insights for policy makers to design more effective data-driven interventions, which can help in decision making.
Development of a Patient Safety Incident Reporting System using the Agile Development Method Anam, Muhammad Khoirul; Astuti, Yani Parti; Mubarok, Ahmad Hasan
Sistemasi: Jurnal Sistem Informasi Vol 14, No 5 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i5.5280

Abstract

One of the critical aspects of healthcare services is patient safety. However, the reporting of patient safety incidents in Indonesia remains low due to the use of inefficient manual systems and the limited participation of healthcare professionals. This study aims to develop a web-based patient safety incident reporting system using the Agile Development method. Agile was chosen for its ability to progressively adapt to user needs through fixed-duration iterations (sprints). The uniqueness of the system lies in the integration of the Agile approach with the Laravel architecture, which enables rapid, modular, and participatory development. Data were collected through interviews, questionnaires, and literature reviews, and analyzed using the PIECES framework. The system was developed using the Laravel framework and evaluated through User Acceptance Testing (UAT) with 24 respondents from the Temanggung District General Hospital (RSUD Kabupaten Temanggung). The testing results showed that 91% of respondents strongly agreed on the system's ease of use and effectiveness. The system has proven to enhance efficiency, accuracy, and user engagement in the incident reporting process. It also offers practical implications for other hospitals aiming to build more integrated and adaptive reporting systems to support improved healthcare service quality.
Co-Authors Anam, Muhammad Khoirul Astuti, Yani Parti Eti Rimawati Pujiono Pujiono Setiawan, Dicky Wicaksono, Duta Firdaus