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THE INFLUENCES OF ELECTRONIC-BASED GOVERNMENT SYSTEM (SPBE) IMPLEMENTATION ON PERFORMANCE ACCOUNTABILITY IN THE REGIONAL SECRETARIAT OF SOUTH SULAWESI PROVINCE Almadani, Muzzaman; Cahyani, Andi Asniar Dewi; Khadafi, Muhammad
Jurnal MSDA (Manajemen Sumber Daya Aparatur) Vol. 12 No. 1 (2024): JURNAL MSDA (Manajemen Sumber Daya Aparatur)
Publisher : Institut Pemerintahan Dalam Negeri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33701/jmsda.v12i1.4057

Abstract

This research investigates the impact of implementing the Electronic-Based Government System (SPBE) on performance accountability within the Regional Secretariat of South Sulawesi Province. The research addresses a discrepancy where performance assessments based on accountability reports from the Regional Secretariat do not align significantly with the SPBE assessment index. Adopting a quantitative, descriptive methodology, the research surveyed civil servants working across various units of the Regional Secretariat in South Sulawesi Province. Data was collected using a questionnaire validated for reliability through Statistical Package for the Social Sciences (SPSS). The findings indicate a significant positive influence of SPBE implementation on performance accountability within the Regional Secretariat of South Sulawesi Province.
The Influence of the Example Non Example Model on Student Learning Participation in Social Studies Khadafi, Muhammad; Aramuddin, Aramuddin; Hamdani, M. Fikri; Risnawati, Risnawati
Journal of Islamic Education Students (JIES) Vol. 4 No. 2: November 2024
Publisher : Universitas Islam negeri Mahmud Yunus Batusangkar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31958/jies.v4i2.12700

Abstract

This research examines the influence of the Example Non Example learning model on student participation in social studies, driven by the low levels of engagement observed among students. This study aims to assess the effectiveness of the Example Non Example model in enhancing student participation in social studies classes. A quasi-experimental method was employed, involving two groups: an experimental group taught using the Example Non Example model and a control group receiving conventional instruction. The model incorporates visual media, with only the experimental group exposed to image-based learning materials. A total of 30 students were included in the sample, selected through total sampling. Data were collected using an observation sheet for student participation. The findings indicate a significant effect of the Example Non Example model on student participation at SDN 06 Tanjung Baru Tanah Datar. Statistical analysis, including the t-test and determination test, showed a t-test value of 0.401, which is below the threshold of 0.05, suggesting a meaningful impact. The determination test further revealed that this model accounts for 14% of the variance in student participation. 
Need Analysis for Ecological Consciousness to Improve Metacognitive Awareness for Students in Islamic Learning Demina; Ramli, Syahrur; Susrizal, Silvia; Zakia, Nadia; Khadafi, Muhammad
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 10 No 2 (2025): Tadris: Jurnal Keguruan dan Ilmu Tarbiyah
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/tadris.v10i1.27257

Abstract

This study explores the integration of ecotheology into Islamic Religious Education (PAI) to enhance metacognitive awareness among students. Given the increasing ecological crisis, particularly in Indonesia, this research addresses the gap between students' cognitive understanding of environmental issues and their moral responsibility towards nature. Using a qualitative approach, interviews were conducted with 94 12th-grade students at MAN 2 Tanah Datar, West Sumatra, to assess their needs for combining ecological consciousness with metacognitive skills. The findings indicate that 71.5% of students require integrative knowledge that merges ecological awareness with metacognitive strategies. In comparison, 55.5% express the need for structured learning steps and regulations to effectively connect these areas. The results suggest that a two-month learning process is necessary to cultivate meaningful metacognitive understanding through ecotheological integration. This study highlights the importance of fostering reflective thinking and self-regulation in students to bridge the gap between theoretical ecological knowledge and real-life behaviors. However, the study is limited by its focus on a single institution and the use of only two metacognitive indicators. Future research should expand to include a broader range of metacognitive aspects and explore the integration of ecotheology in diverse educational settings to enhance students' ecological consciousness and critical thinking skills.
Penerapan Metode Decision Tree dan Naïve Bayes pada Kasus Kriminalitas di Lampung Khadafi, Muhammad; Yudhistira, Aditia
Dinamik Vol 31 No 1 (2026)
Publisher : Universitas Stikubank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/dinamik.v31i1.10411

Abstract

Crime, an unlawful act that contradicts ethics and norms, has now become a primary factor for the police in Lampung province. This presents a challenge for the police institution in predicting high crime rates. However, there are still many crimes that have not become the main focus of problem-solving at the Lampung Regional Police.This research aims to identify the types and criminal acts of crime with the highest recorded incidence in a crime dataset by performing classification using the Naïve Bayes algorithm. The data was obtained from investigators at the Directorate of General Criminal Investigation of the Lampung Regional Police, with a total of 12,034 JTP (Total Criminal Acts) and 7,518 PTP (Crime Resolution) data points for each type of crime, distributed across the Regional Police, City Police, and District Police throughout Lampung province. The classification process using the Naïve Bayes algorithm reveals the relationship between the work unit (Satker) and the type of crime handled, thereby identifying crime patterns based on the location where they are handled. The results of the research, which involved converting numerical data into binomial (binary) form using the "Numerical to Binominal" feature in Rapid miner, show that the analysis and modeling process, especially in algorithms like Naïve Bayes or decision trees, is more effective when using data in a binary format. Thus, the initial dataset can be visualized in the form of a , with the size of the text varying according to the level of each high-incidence crime; the larger the text, the more frequently or significantly the crime occurred or was reported. The application of this method can help in identifying patterns, dominant trends, and areas of focus for more targeted law enforcement efforts or crime prevention policies.