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All Journal Innovation in Research of Informatics (INNOVATICS) Syiar: Jurnal Komunikasi dan Penyiaran Islam
Aziz, Hilmi
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Religion Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences

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Development Prediction Model to Optimize Cooperative Loans Based on Machine Learning Algorithms Himawan, Hidayatulloh; Pinandita, Tito; Ridwan, Rizky; Aziz, Hilmi
INNOVATICS: International Journal on Innovation in Research of Informatics Vol 6, No 1 (2024): March 2024
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v6i1.10677

Abstract

Default on loans by borrowers to the cooperative to optimize the cooperative's business performance. In this research, a default prediction model was developed using several quite popular machine learning algorithms, namely decision tree, K-NN, logistic regression, and random forest, then all models with each of these algorithms were compared and evaluated. to find out which algorithm model is the most effective and accurate in predicting loan defaults in cooperatives. Model evaluation is carried out using metrics such as accuracy, precision, recall, and f1-score. The dataset used in this research was obtained from the loan list at one of the Savings and Loans Cooperatives in Tasikmalaya Regency, the contents of which include attributes such as borrower profile, loan amount, number of installments, and others. This dataset is divided into training data and test data to train and evaluate the model. These machine learning algorithms were chosen because they are quite well known among other algorithms for prediction and have been proven in several financial studies. The results of this prediction model can be used by cooperatives to support decisions in providing appropriate loans.
The Da'wah Strategy of the Prosperous Justice Party in Instilling Islamic Political Values in South Jakarta Aziz, Hilmi; Nisa, Pia Khoirotun
Syiar: Jurnal Komunikasi dan Penyiaran Islam Vol. 5 No. 1 (2025): Syiar: Jurnal Komunikasi dan Penyiaran Islam
Publisher : STAI Publisistik Thawalib Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54150/syiar.v5i1.723

Abstract

The practices of money politics, identity misuse, and political apathy reflect deviations from Islamic political values. Therefore, the Prosperous Justice Party implements a da'wah strategy in South Jakarta. This study aims to analyze the da'wah strategy of the Prosperous Justice Party in instilling Islamic political values and to identify the supporting and inhibiting factors in South Jakarta. This research uses a case study method with interviews, observation, and documentation to collect data. Data processing involves condensation, data presentation, and conclusion drawing, followed by triangulation and confirmability to ensure data validity. Findings: The da'wah strategy of the Prosperous Justice Party is implemented through free health check-up services, the sale of low-cost necessities, and the building of relationships with religious leaders, organizations, and Islamic institutions. Meanwhile, the Member Development Unit demonstrates a rational da'wah strategy through a structured, focused cadre system and learning process. Inhibiting factors of the da'wah strategy include limited operational funds, a community that tends to be pragmatic and opportunistic, and the spread of false information. Supporting factors include the ownership of their building, the active role of the Member Development Unit, and support from religious leaders, organizations, and Islamic institutions. Conclusion: The da'wah conducted by the Prosperous Justice Party employs sentimental, rational, and sensory strategies through social programs and institutional relations to instill Islamic political values in society.
Co-Authors Himawan, Hidayatulloh Nisa, Pia Khoirotun Rizky Ridwan Tito Pinandita