Claim Missing Document
Check
Articles

Found 13 Documents
Search

Pengaruh Pay Satisfaction Terhadap Organizational Citizenship Behavior (OCB) Dimediasi Work Engagement Arifin Arifin; Zakhyadi Ariffin
Indo-Fintech Intellectuals: Journal of Economics and Business Vol. 4 No. 1 (2024): Indo-Fintech Intellectuals: Journal of Economics and Business
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ifijeb.v4i1.168

Abstract

This study aims to test and analyze the effect of Pay Satisfaction on Organizational Citizenship, the effect of Pay Satisfaction on Work Engagement, the effect of Work Engagement on Organizational Citizenship behavior, and the effect of Pay Satisfaction on Organizational Citizenship Behavior through ASN Work Engagement in Pambalah Batung General Hospital. This study used a quantitative method, with a cross-sectional time dimension. the sample in this study was about 159 people. The data analysis used is descriptive analysis and to test the effect of the model on the PLS-based structure. The results showed that there was an effect of Pay Satisfaction on Organizational Citizenship Behavior, there was an effect of Pay Satisfaction on Work Engagement, there was an effect of Work Engagement on Organizational Citizenship Behavior and there was an effect of Pay Satisfaction on Organizational Citizenship Behavior through ASN Work Engagement at Pambalah Hospital Batung. Suggestions to Pambalah Batung General Hospital need to pay attention to employee Pay Satisfaction because Pay Satisfaction has an impact on Organizational Citizenship Behavior through Work Engagement and Work Engagement also has an impact on Organizational Citizenship Behavior. If these variables can be considered, of course they will have an impact on the services to the community provided by the Pambalah Batung Hospital
The Influence of the Campus Teaching Program on the Mathematical Literacy Ability of Parepare Students Abdul Rahman; Arifin Arifin
Edumaspul: Jurnal Pendidikan Vol 8 No 1 (2024): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v8i1.6803

Abstract

This experimental research aims to determine the effect of the campus teaching program on students' mathematical literacy abilities in Parepare. The population of this study were students of junior high schools in Parepare. The sample in this study is one of the beneficiaries of the teaching campus program, namely SMP AL Badar, Parepare using the Purposive Sampling technique. The research data was obtained using an instrument in the form of an essay test consisting of 3 questions. The data analysis technique used is descriptive statistical data analysis and inferential statistical data analysis. The results of the descriptive statistical analysis of the pretest results showed that the average mathematical literacy ability for the experimental group was 52.50 and the control group was 53.15. After receiving the benefits of the teaching campus program for the experimental group, the average score for students' mathematical literacy was 73.62 and that of the control class was 66.38. The results of inferential statistical analysis based on the independent sample test show that the sig. 0.785 > α. So H1 is accepted and H0 is rejected. it can be concluded that there is a positive influence of the campus teaching program on students' mathematical literacy skills in Parepare.
Implementation of the K-Means Algorithm for Clustering Zoning of Natural Disaster-Prone Areas in Pati Regency Arifin Arifin; Bambang Agus Herlambang; Aris Tri Joko Harjanto
Sistemasi: Jurnal Sistem Informasi Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.5970

Abstract

Based on data from the Central Bureau of Statistics (BPS) of Pati Regency, during the 2018–2022 period the region frequently experienced natural disasters, particularly floods and landslides, across many areas.The high frequency of these disasters and the lack of proper mapping of affected areas present challenges that need to be addressed effectively. By utilizing technology and the K-Means clustering method, this study proposes an alternative solution to identify and map areas that are vulnerable to natural disasters. The results of the analysis indicate that Pati Regency can be divided into three clusters: Cluster 1 represents highly disaster-prone areas, accounting for 42.86% (9 regions); Cluster 2 represents disaster-prone areas, accounting for 19.04% (4 regions); and Cluster 3 represents areas with low disaster vulnerability, accounting for 38.1% (8 regions). The visualization results are presented as a classification map of regions based on their disaster vulnerability levels. This map can serve as a reference for local governments and relevant institutions in formulating more targeted and effective disaster mitigation policies.