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All Journal MALIA: Journal of Islamic Banking and Finance eJEBA
Dewi, Ivana Rosediana
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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MINING PUBLIC OPINIONS ON URBAN GREEN SPACES IN MAGELANG: BIG DATA SENTIMENT AND TOPIC MODELING FOR SDGS-ORIENTED POLICY Dewi, Ivana Rosediana; Asykarulloh, Azam; Utami, Cahyaning Budi
e-Journal Ekonomi Bisnis dan Akuntansi Vol. 13 No. 1 (2026): e-JEBA Volume 13 Number 1 Year 2026
Publisher : e-Journal Ekonomi Bisnis dan Akuntansi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/e-jeba.v13i1.60003

Abstract

Urban Green Spaces (UGS) play a crucial role in improving environmental quality, fostering social interaction, and enhancing the well-being of urban communities. In Magelang City, Indonesia, a growing small city, understanding public perceptions of UGS is essential to ensure their effective development and to align with Sustainable Development Goal (SDG) 11: Sustainable Cities and Communities. This study employs an AI-based approach to evaluate public sentiments and identify key discussion themes by applying big data analytics to user-generated reviews from Google Maps. Python-based text mining techniques were utilized, with the Valence Aware Dictionary for Sentiment Reasoning (VADER) used for sentiment classification and Latent Dirichlet Allocation (LDA) applied for topic modeling. Results show that public perception is predominantly positive, emphasizing cleanliness, comfort, aesthetic value, and accessibility. Negative sentiments, although fewer, highlight issues in facility maintenance, limited amenities, safety, and spatial accessibility. These findings provide actionable implications for policymakers by offering evidence-based justification for future investments, responsive design strategies, and continuous monitoring of UGS quality from a citizen-centered perspective. Contributing to more inclusive, safe, and sustainable urban development aligned with SDG 11.7.
Do Islamic Banking Indicators Affect Indonesia’s Economic Growth? Evidence from the VECM Model Ariyani, Diyah; Sholihah, Erlinda; Utami, Cahyaning Budi; Dewi, Ivana Rosediana
MALIA: Journal of Islamic Banking and Finance Vol 10, No 1 (2026): MALIA: Journal of Islamic Banking and Finance
Publisher : IAIN Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21043/malia.v10i1.36603

Abstract

Indonesia has experienced rapid growth in the Islamic banking sector, which is expected to contribute to national economic growth. This study examines the short-run and long-run relationships between Islamic banking performance and Indonesia’s economic growth proxied by Gross Domestic Product (GDP). Using quarterly data from Islamic Commercial Banks (BUS) and Islamic Business Units (UUS) during 2012–2021, this study analyzes the effects of BOPO, ROA, ROE, financing, and Non-Performing Financing (NPF) on GDP through the Vector Error Correction Model (VECM). The results show that, in the long run, BOPO, ROE, and financing have a positive and significant effect on GDP, while NPF negatively affects economic growth. Meanwhile, ROA does not significantly influence GDP. The Granger causality test indicates a one-way causal relationship from GDP to financing and ROA. These findings confirm the important role of Islamic banking intermediation and financial performance in supporting economic growth in Indonesia. This study contributes to the literature by providing empirical evidence on the dynamic relationship between Islamic banking performance and economic growth in Indonesia using the VECM approach, covering both long-run equilibrium and short-run adjustment mechanisms. The findings also provide policy implications for strengthening Islamic banking performance and financing effectiveness to support sustainable economic development.
Co-Authors Ariyani, Diyah Asykarulloh, Azam Erlinda Sholihah Utami, Cahyaning Budi