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All Journal JURIKOM (Jurnal Riset Komputer) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI)
Aprilsyah, Muhammad
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering

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Audit Sistem Informasi Portalsia Menggunakan Framework Cobit 5 Pada EDM05, APO04 dan BAI10 Anggraini, Esa Surya; Aprilsyah, Muhammad; Hasibuan , Inneke Nugroho; Asisura, Lili; Chairul Rizal
Jurnal Komputer Teknologi Informasi dan Sistem Informasi (JUKTISI) Vol. 3 No. 2 (2024): September 2024
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v3i2.172

Abstract

COBIT 5 (Control Objectives for Information and Related Technology) is a framework that provides comprehensive guidance for the governance and management of information technology. This research aims to assess the effectiveness and efficiency of the PortalSIA information system at the North Sumatra State Islamic University using the COBIT 5 framework. In this audit, we used a qualitative descriptive analysis method which involved collecting data through interviews, questionnaires and documentation. The results of this audit were prepared based on the COBIT 5 domain, which includes evaluation, direction, monitoring (EDM), alignment, planning and organizing (APO) and development, acquisition and implementation (BAI). By implementing the recommendations from this audit, it is hoped that the North Sumatra State Islamic University can improve the performance and security of the PortalSIA information system, as well as achieve its strategic goals more effectively and efficiently. This research also emphasizes the importance of regular audits and the use of frameworks such as COBIT 5 in improving the quality of governance and information technology management in higher education institutions.
Kombinasi K-Nearest Neighbor dengan K-Means Clustering Klasifikasi Stunting pada Bayi Berbasis Website Aprilsyah, Muhammad; Putri, Raissa Amanda
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 2 (2025): April 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i2.8498

Abstract

Stunting is a serious health issue caused by insufficient nutrition over an extended period, especially in young children. This study aims to develop a web-based stunting data classification system using a combination of K-Means Clustering and K-Nearest Neighbors (K-NN) algorithms. The dataset used is sourced from the Health Department of Medan City in 2021-2024, consisting of 683 data entries. The research process includes problem identification, data gathering conducted through observations and interviews, data preprocessing using StandardScaler, and splitting the dataset into 70% training and 30% testing datasets. The K-Means technique is utilized for data segmentation based on z-score values. The clustering results are then used as labels for classification with K-NN. The system implementation shows a classification result with a distribution of 6.9% for mild stunting, 25.8% for moderate stunting, and 67.3% for severe stunting. The results indicate that the combination of K-Means and K-NN produces more accurate classification compared to using a single method. This study is expected to assist the Health Department of Medan City in analyzing stunting data more efficiently and contribute to the future development of stunting classification systems.
Co-Authors Anggraini, Esa Surya Asisura, Lili Chairul rizal Hasibuan , Inneke Nugroho Raissa Amanda Putri