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Analisis Pengelompokan Tingkat Pemahaman Materi Siswa Berdasarkan Nilai Ujian Menggunakan Algoritma K-Means Cahaya Muzaddidah; Arief Hermawan; Donny Avianto
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.353

Abstract

Student understanding of learning content is an important indicator of educational success. This study aims to group student understanding based on their exam results in mathematics, English, science, social studies, and Arabic using the K-means Clustering algorithm. The data used consisted of 60 rows of student performance data, which were processed and standardized using Google Colab. The number of clusters was limited to two groups (K=2) to categorize students as having a high level of understanding or a basic level of understanding. The results showed that the K-means algorithm successfully identified groups of students with different levels of understanding based on their average exam scores. The group with a high level of understanding achieved an average score of more than 87.4. Teachers can use these Clustering results as a basis for developing more individualized and effective learning strategies for each group of students.
Kajian Literatur Sistematis terhadap Penerapan Framework COBIT 5 Tata Kelola Teknologi Informasi Ida Kumala Sari; Cahaya Muzaddidah; Suhirman; Joko Sutopo
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 24 No 3 (2026): September 2026
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v24i3.263

Abstract

Information technology (IT) has become a strategic element across various sectors, supporting operational activities, service effectiveness, and organizational goals. However, poorly managed IT utilization can create various risks. Therefore, IT governance is essential to ensure that IT provides measurable value to organizations. COBIT 5 is a widely used framework for evaluating and improving IT governance comprehensively. This study employs a Systematic Literature Review (SLR) method by analyzing eight scientific publications on COBIT 5 implementation published between 2020 and 2025. The analysis involved identification, selection, quality assessment, and synthesis of relevant studies. The results show that COBIT 5 implementation across various organizations still faces challenges, particularly in business process integration, clarity of roles and responsibilities, and maturity level measurement. Many organizations remain at maturity levels 1–3, indicating that IT processes are implemented but are not yet fully documented or optimally managed. This study provides an overview of IT governance practices across various sectors, identifies trends in the application of COBIT 5 domains, and presents recommendations for improving IT governance implementation in the future.