Kresna Mustika
Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

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TWO-STAGE DECISION-MAKING IN ONLINE FASHION MSMES: AN ISLAMIC MANAGERIAL ECONOMICS PERSPECTIVE IN PEKALONGAN, INDONESIA Dwi Yoga Prasetyo; Kresna Mustika; Tamamudin Tamamudin; Ali Muhtarom
Referensi Islamika: Jurnal Studi Islam Vol. 4 No. 3 (2026): JUNE
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/ri.v4i3.821

Abstract

This study aims to explore and map the strategic decision-making sequences of online fashion MSMEs in Pekalongan through the lens of Islamic managerial economics. It specifically investigates how Islamic ethical constraints, such as the avoidance of gharar (uncertainty) and the pursuit of Siddiq (honesty), reconfigure the cognitive process of choosing between digital platforms and marketing techniques. Following an interpretivist paradigm, this research employed a qualitative multiple-case study design using three distinct cases: a traditional batik artisan, a work trousers manufacturer, and a contemporary jeans retailer. Data were collected through semi-structured interviews using a "stated preference" elicitation technique and triangulated via direct digital observation of the participants' online storefronts. The results identify three distinct decision-tree patterns: lexicographic, nested, and co-lexicographic. The findings suggest and illustrate a concept of sharia-bounded rationality, where for the observed Muslim entrepreneurs, digital choices appear to be governed by ethical parameters such as ensuring transaction transparency and rejecting usurious financial mechanisms (riba) act as the primary filters for commercial viability rather than mere profit maximization. While providing deep contextual insights into the Pekalongan fashion cluster, the findings are limited by their qualitative nature and specific regional focus, which may restrict statistical generalizability to larger industrial contexts. This research offers a novel synthesis of Hsu and Reid’s two-stage decision model with Islamic managerial principles, providing a culturally resonant framework for understanding digital transformation in Muslim-majority regions.
Artificial intelligence-based SEO to enhance Muslim apparel visibility: A case study of Pekalongan MSMEs on Shopee Kresna Mustika; Dwi Yoga Prasetyo; Agus Fakhrina; Ahmad Rosyid
Referensi Islamika: Jurnal Studi Islam Vol. 4 No. 4 (2026): AUGUST
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/ri.v4i4.1026

Abstract

This research aims to analyze the integration of artificial intelligence (AI)-based Search Engine Optimization (SEO) strategies by a digital marketing practitioner to enhance the organic visibility of local MSME halal commodities on the Shopee marketplace. Utilizing a descriptive qualitative single-case study design, data was collected through an in-depth interview with an SEO practitioner in Pekalongan and an evaluation of a specific MSME client's Shopee analytic dashboard during a one-month observation period. The findings reveal that AI acts as a critical "translator" bridging human search intent and algorithmic logic. Through precise prompt engineering for long-tail keyword extraction, title reconstruction, and copywriting, the intervention successfully resolved the product's baseline algorithmic blindness. Based on practitioner-reported observations, this metadata restructuring yielded a substantial surge in top-of-funnel search impressions and improved organic rankings for niche keywords without paid advertising costs. Normatively, AI-based SEO serves as a preventive tool for Hifz al-Mal (wealth protection) by mitigating the risk of inefficient promotional spending. However, a primary limitation is the study's exclusive focus on top-of-funnel visibility indicators for a single product listing, which does not guarantee actual financial sales conversions or broad market success, limiting its generalizability. This study provides an exploratory technical case note demonstrating how artificial intelligence can be democratized at the micro-economy level via third-party practitioners, protecting local halal products from algorithmic marginalization.