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All Journal Jurnal Sains dan Teknologi Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Ida Kumala Sari
Universitas Teknologi Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary

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Klasifikasi Kelayakan Bantuan Pendidikan Menggunakan Metode Decision Tree Ida Kumala Sari; Arief Hermawan; Donny Avianto
INSOLOGI: Jurnal Sains dan Teknologi Vol. 5 No. 3 (2026): Juni 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v5i3.8104

Abstract

This study aims to implement the Decision Tree method to classify scholarship eligibility based on student data. The dataset used consisted of 4,424 student records with 35 numerical attributes covering academic, administrative, and socioeconomic aspects. The preprocessing stage included data quality checking, feature selection, and dataset splitting into training and testing data with a ratio of 70:30. From the initial 35 attributes, 16 main attributes were selected as the most relevant features to the target variable. The classification model was developed using the Decision Tree algorithm and evaluated using a confusion matrix, accuracy, precision, recall, and F1-score. The results showed that the model achieved an accuracy of 75.08% and a weighted average F1-score of 75.16%. Attributes such as Curricular units 2nd sem (approved), Curricular units 2nd sem (grade), and Tuition fees up to date were identified as the most influential factors in the classification process. Although the dataset had a class imbalance condition, this study maintained the original data distribution without applying oversampling techniques such as SMOTE in order to preserve the actual conditions of the scholarship selection process. In addition to providing fairly good classification performance, the Decision Tree method was also able to produce a transparent, interpretable, and easy-to-understand model through the resulting decision tree structure.
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.
Co-Authors Cahaya Muzaddidah Donny Avianto Joko Sutopo Suhirman