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All Journal Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Journal of Business Management and Islamic Banking
Anggraini, Sindi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering

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Analisis Pengaruh Green Banking Terhadap Profitabilitas Bank Umum Syariah Indonesia Anggraini, Sindi; Muhammad Iqbal, Fasa
Journal of Business Management and Islamic Banking Vol. 1 No. 1 (2022)
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jbmib.2022.011-05

Abstract

Research Aims: Islamic commercial banks are Islamic banks which in their activities provide services in payment traffic. Islamic commercial banks can operate as foreign exchange banks and non-foreign exchange banks. Foreign exchange bank is a bank that can carry out transactions abroad or related to foreign currencies as a whole, such as transfers abroad, collections abroad, opening letters of credit and so on. The purpose of the study was to determine the effect of green banking on the profitability of Islamic commercial banks in Indonesia and the concept of green banking in an Islamic perspective. Design/methodology/approach: This type of research is quantitative with a descriptive statistical approach, the research methodology used in this study is the method of documentation and literature study. Research Findings: The results of the study show that green banking has a positive effect on the profitability of Islamic Commercial Banks in Indonesia. In the Islamic perspective, all Green Banking Indicators are in accordance with the Islamic perspective as well as the reinforcing arguments about protecting nature and preventing natural damage. Keywords: Green Banking, profitibalitas, Bank Umum Syariah.
Identifying Dominant Factors of Divorce in Marbau Selatan Village Using K-Means Clustering Anggraini, Sindi; Hasugian, Abdul Halim
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 2 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i2.26447

Abstract

The increasing rate of divorce in Marbau Selatan Village reflects a broader trend in Indonesia and highlights an urgent social issue that threatens family resilience. This study applied the K-Means Clustering algorithm to analyze and classify divorce cases based on demographic and social characteristics. Data were collected from 85 divorce records registered between 2021 and 2025, focusing on key variables such as age, gender, case type, and cause of divorce. The clustering process generated three distinct groups, namely: conflicts and repeated disputes, abandonment by one party, and economic hardship. The results demonstrated that persistent conflicts represented the most dominant factor, followed by abandonment and financial problems. These findings suggest that K-Means is effective for revealing hidden patterns in divorce data, providing valuable insights for local stakeholders. The study contributes to data-driven policy recommendations, such as premarital counseling, family economic empowerment, and community-based mediation, to reduce divorce rates and improve household harmony in rural areas.
Co-Authors Abdul Halim Hasugian Muhammad Iqbal, Fasa