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All Journal Jurnal Perbankan Syariah Darussalam (JPSDa)
Ribut Suprapto
Universitas Kh. Mukhtar Syafaat Blokagung Banyuwangi
Economics, Econometrics & Finance

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Analisis Praktik Tarah Pada Jual Beli Buah Jeruk Pada Petani Kecamatan Bangorejo Kabupaten Banyuwangi Perspektif Mazdhab Syafi’i Yunus Zamroji; Ribut Suprapto; Babun Suharto
JPSDa: Jurnal Perbankan Syariah Darussalam Vol. 6 No. 1 (2026): Januari 2026
Publisher : Institut Agama Islam Darussalam Blokagung Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30739/jpsda.v6i1.4614

Abstract

This study aims to analyze the practice of tarah in the sale and purchase of citrus fruit by farmers in Bangorejo District, Banyuwangi Regency, from the perspective of the Shafi'i School of Law. The approach used in this study is qualitative, with data collection techniques through observation, interviews and documentation. The results of the analysis say that tarah or pieces of weight taken by the buyer, is a form of gift from the seller whose law is sunnah, because the tarah taken by the buyer is written in the note and there is willingness from the seller, in addition, giving tarah from the seller is a form of practice to make it easier to carry out buying and selling transactions, where Allah SWT promises to give mercy to sellers who make it easier for buyers.
Systematic Literature Review: Peran Konsep Matematika Diskrit Dalam Pengembangan Model Credit Scoring Pembiayaan Pada Lembaga Keuangan Syariah Non-Bank Nawal Ika Susanti; Ribut Suprapto
JPSDa: Jurnal Perbankan Syariah Darussalam Vol. 6 No. 2 (2026): Juli 2026
Publisher : Institut Agama Islam Darussalam Blokagung Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30739/jpsda.v6i2.5286

Abstract

This study examines the integration of discrete mathematics into financing scoring systems for non-bank Islamic financial institutions (NBIFIs). A Systematic Literature Review was selected to consolidate evidence on mathematical structures, decision-support methods, predictive algorithms, and sharia governance, with reporting guided by PRISMA 2020. Searches in Google Scholar, Scopus, Garuda, Semantic Scholar, and PMC for publications from 2020 to 2026 identified 487 records; 89 remained after deduplication and title-abstract screening, 34 full texts were assessed, and 20 articles were included. Machine-learning and credit-scoring studies dominated the evidence base (35%), followed by studies on NBIFIs and Islamic non-bank finance (25%), PRISMA-based reviews (15%), discrete mathematics and decision modelling (15%), and DSS/MCDM applications (10%). The findings show that finite sets, logical rules, decision trees, graph structures, and ranking matrices are relevant to financing assessment, but explicit discrete-mathematics applications remain rare. Major gaps concern limited NBIFI-specific datasets, weak operationalisation of maqashid al-shariah, insufficient fairness testing, and scarce external validation. The review proposes a four-layer model linking input data, discrete-mathematical structures, hybrid scoring algorithms, and explainable decisions under sharia governance. Practically, NBIFIs should develop auditable scoring rules, involve Sharia Supervisory Boards in model validation, and provide assistance pathways for applicants below the eligibility threshold.
Co-Authors Babun Suharto Nawal Ika Susanti, Nawal Ika Yunus Zamroji