Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Journal of Regional Economics Indonesia
Hani Esa Yanti
Department of Islamic Economics, Faculty of Islamic Economics and Business, Universitas Islam Negeri Prof. K.H. Saifuddin Zuhri Purwokerto
Economics, Econometrics & Finance

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Integrating the Metaverse into the Halal Value Chain: A Maqāṣid-Based Digital Innovation Framework for Global Halal Market Leadership Hani Esa Yanti; Sasti Amar Sabila
Journal of Regional Economics Indonesia Vol. 7 No. 1 (2026): February 2026
Publisher : University Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jrei.v7i1.16793

Abstract

This study develops a Metaverse Halal Value Chain (MHVC) framework to integrate metaverse technology into Indonesia’s halal value chain in order to enhance global market competitiveness. Using a qualitative case study approach, data were collected from 25 key informants, including halal entrepreneurs, certification auditors, regulators, academics, and Muslim consumers. Semi-structured interviews, participatory observation, and document analysis were examined through thematic analysis. The findings reveal four key insights: (1) the halal metaverse is perceived as a new spiritual-economic space embedding maqāṣid al-sharīʿah values in digital transactions; (2) digital integration improves certification transparency and cross-sector collaboration; (3) legitimacy and trust remain critical challenges in virtual halal authentication; and (4) Indonesia holds strategic potential to become a global halal ecosystem hub through value-driven digital governance. The proposed MHVC model integrates technological efficiency, collaborative networks, and ethical principles, offering both theoretical advancement and practical guidance for sustainable halal digital transformation.
From Predictive Modeling to Strategic Execution: Integrating Decision Tree Analytics into SWOT Frameworks to Enhance Service and Security in Islamic Banking Sasti Amar Sabila; Sochimin Sochimin; Hani Esa Yanti
Journal of Regional Economics Indonesia Vol. 7 No. 1 (2026): February 2026
Publisher : University Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jrei.v7i1.16794

Abstract

This study investigates the integration of Decision Tree analytics and SWOT analysis in enhancing service quality and information security in Islamic banking. Using a cross-sectional explanatory design, the research combines transaction-level customer data modeled through a Decision Tree classifier with survey data from 270 customers of Bank Syariah Indonesia. The Decision Tree model demonstrates strong classification performance, with satisfactory accuracy, sensitivity, and specificity in identifying customer risk profiles. Multiple regression analysis indicates that both Decision Tree utilization and SWOT implementation have positive and statistically significant effects on perceived service quality and security. The Decision Tree shows a stronger direct impact, while SWOT contributes strategically by translating predictive insights into structured planning actions. The findings highlight the complementary relationship between predictive analytics and strategic management. This study contributes to the literature by bridging machine learning applications and strategic frameworks in Islamic banking and provides managerial implications for data-driven governance and service optimization.
Co-Authors Sasti Amar Sabila Sochimin Sochimin