M Salim
Institut Teknologi Sains dan Bisnis Muhammadiyah Selayar

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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.
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.