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All Journal JSAI (Journal Scientific and Applied Informatics) Bulletin of Information Technology (BIT) Journal Geuthee of Engineering and Energy
Sulistiawati Rahayu Ahmad
Institut Teknologi Sains dan Bisnis Muhammadiyah Selayar
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Analisis Pemahaman Literasi Digital Siswa Terhadap UU ITE Dan Norma Agama Pada MAN Kepulauan Selayar Abdul Ma'arief Al Imran; Muhammad Ihsan Maro; Mursyid Ardiansyah; M Salim; Sulistiawati Rahayu Ahmad
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7595

Abstract

The research focused on MAN Kepulauan Selayar students' level of understanding of the Electronic Information and Transaction Law (UU ITE) and how religious norms influence their attitudes to using digital technology. Selayar Islands, with its distinctive social, cultural, and spiritual characteristics, provides a relevant context for exploring digital literacy in an area with unique educational challenges. Using descriptive methods, a multiple choice test was used to measure students' understanding of the ITE Law. In contrast, a Likert scale questionnaire was used to assess the influence of religious norms on their attitudes. The data obtained were analyzed quantitatively to provide a comprehensive picture of students' digital literacy. The results showed that the average score of students' understanding of the ITE Law was 74, which was classified as a High category. Ranking analysis revealed that class XII students had the highest score of 80.77 (High category), followed by class XI with a score of 74.83 (High category), and class X with a score of 66.4 (Medium category). In addition, the average percentage of students' answers in the questionnaire shows a value of 79.42%, which is classified as Influential in reflecting the influence of religious norms on students' attitudes toward using digital technology. This finding shows that although students' level of understanding of the ITE Law is relatively good, there are differences in the level of understanding between grades. In addition, religious norms have a significant influence on students' attitudes toward the responsible use of digital technology.
Evaluasi Pengembangan Sistem Informasi Penerimaan Mahasiswa Baru Berbasis Workflow Otomatis Menggunakan Pendekatan Research and Development Abdul Ma'arief Al Imran; Muhammad Ichsan M; Muh Salim; Sulistiawati Rahayu Ahmad; Ali Asgar Zainal Abidin
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9730

Abstract

The New Student Admissions (PMB) process is a strategic endeavor that influences the quality of university entrants. Nonetheless, in several colleges, particularly in remote regions, the execution of PMB remains manual, which may lead to issues regarding efficiency, accuracy, and openness in data management. This study seeks to create and assess an automated workflow-oriented PMB information system to enhance PMB management at the Muhammadiyah Selayar Institute of Technology, Science, and Business. The system development employs the Waterfall methodology, encompassing the phases of requirements analysis, design, implementation, and system testing. Evaluation is conducted by assessing the validity, practicality, and efficacy of the system with the participation of internal users as evaluators. The evaluation results demonstrated a validity rate of 100%, practicality of 95.83%, and effectiveness of 89.56%, demonstrating the system's feasibility for supporting the PMB process. This system can systematically combine the registration process, document verification, selection, and results announcement. This research contributes an automated workflow implementation model within the PMB information system, enhancing process management efficiency and facilitating the oversight of PMB activities. While the test remains confined to the institution's internal setting, the findings of this study are anticipated to serve as a benchmark for the establishment of a comparable PMB system in universities with analogous attributes.
Optimization of coas doctor selection using PROMETHEE-based decision support system M Salim; Sulistiawati Rahayu Ahmad; Yulanda Yunus
Journal Geuthee of Engineering and Energy Vol 5, No 1 (2026): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v5i1.68

Abstract

The selection process of co-assistant (COAS) doctors in hospitals is a critical stage in ensuring the quality of healthcare services. However, in practice, this process is often conducted subjectively and lacks integration with a structured criteria-based system, which may lead to inconsistent and less accurate decision-making. However, existing studies still lack the implementation of integrated web-based decision support systems with validated ranking results, particularly in the context of COAS doctor selection. This study aims to optimize the selection process of COAS doctors by implementing a decision support system based on the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE). The method is used to rank alternatives through a multi-criteria decision-making approach involving seven criteria, namely medical knowledge, service attitude, productivity, teamwork, discipline, honesty, and responsibility. The results show that the developed system is capable of generating objective candidate rankings, where the highest net flow value of 0.95 is achieved by the best candidate, indicating strong dominance over other alternatives. Furthermore, the implementation of the PROMETHEE method improves transparency and consistency in decision-making while reducing subjectivity compared to manual approaches. The web-based system also enhances efficiency through automated calculations and real-time data processing. Therefore, this study contributes to the development of multi-criteria decision support systems in the healthcare sector, particularly in providing a more objective, systematic, and efficient approach to COAS doctor selection.
Analisis Komparatif Algoritma Klasifikasi untuk Prediksi Kelulusan Tepat Waktu Mahasiswa Hariati Husain; sulistiawati Rahayu Ahmad; Muh Salim
Bulletin of Information Technology (BIT) Vol 7 No 1: Maret 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i1.2619

Abstract

- Timely student graduation is an important indicator in assessing the quality of higher education management. However, not all students are able to complete their studies within the prescribed study period, making it necessary to implement data-driven predictive approaches to identify students at risk of delayed graduation. This study aims to compare the performance of the Decision Tree and Naïve Bayes algorithms in classifying timely student graduation based on academic data. The dataset consists of alumni records from the Informatics Engineering Study Program for the 2015–2016 cohorts, totaling 610 valid records after data cleaning and attribute selection. Predictor variables include gender, class type, and Semester Grade Point Index (IPS) from semester 1 to semester 5, while the target variable is graduation status. Model evaluation was conducted using an 80% training and 20% testing split, and performance was measured through a confusion matrix to obtain accuracy, precision, and recall values. The results show that the Decision Tree achieved an accuracy of 69.54%, while Naïve Bayes achieved 68.38%. The 1.16% difference indicates that the Decision Tree performs slightly better for this dataset. These findings suggest that early semester academic performance significantly contributes to predicting timely graduation and can support data-driven academic decision-making.
Co-Authors Abdul Ma'arief Al Imran Abdul Ma’arief Al Imran Ali Asgar Zainal Abidin Hariati Husain M Salim Muh Salim Muhammad Ihsan Maro Muhammad Ihsan Maro Mursyid Ardiansyah yulanda yunus