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All Journal Jurnal Ilmu Ekonomi dan Pembangunan eJEBA
Dewi, Ivana Rosediana
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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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.
ANALYSIS OF POVERTY DETERMINANTS AFTER FISCAL DECENTRALIZATION IN EASTERN INDONESIA Sartika, Rebecca Cindy; Utami, Cahyaning Budi; Dewi, Ivana Rosediana
Jurnal Ilmu Ekonomi dan Pembangunan Vol 25, No 2 (2025): Jurnal Ilmu Ekonomi dan Pembangunan
Publisher : EP FEB UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jiep.v25i2.111864

Abstract

Fiscal decentralization in Indonesia has been actively implemented since January 1, 2001, with the expectation that regions can better utilize their economic potential to accelerate community welfare, particularly in reducing poverty in Eastern Indonesia. This study investigates the effects of Regional Economic Growth (LNPDRB), Human Development Index (IPM), Labor Force Participation Rate (TPAK), Regional Native Income Growth (LNPAD), and Capital Expenditure Growth (LNBM) on the percentage of poor people (PPMISKIN) across 16 provinces in Eastern Indonesia during the 2012–2017 period. Using descriptive statistics and panel data estimation with the Fixed Effect Model (FEM) and cross-section SUR in Eviews 10, this quantitative study provides empirical evidence on the determinants of poverty reduction. The results indicate that IPM significantly reduces PPMISKIN (β = –0.2462; p = 0.0000), while TPAK has a negative effect (β = –0.0379; p = 0.0623). LNPAD also significantly decreases PPMISKIN (β = –1.4014; p = 0.0001). Conversely, LNBM has a positive and significant effect on PPMISKIN (β = 0.4619; p = 0.0132). Meanwhile, LNPDRB is statistically insignificant in reducing poverty (β = 0.0181; p = 0.3142). These findings underscore the greater influence of human development, labor participation, and regional fiscal capacity compared to economic growth in alleviating poverty in Eastern Indonesia.
Co-Authors Asykarulloh, Azam Sartika, Rebecca Cindy Utami, Cahyaning Budi