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Data-Driven Insights for Tourism Development in East Java Using Directed Graphs Pradananta, Galih; Shofi Dana, Badara
Riemann: Research of Mathematics and Mathematics Education Vol. 7 No. 1 (2025): EDISI APRIL
Publisher : Program Studi Pendidikan Matematika Universitas Katolik Santo Agustinus Hippo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38114/reimann.v7i1.97

Abstract

This study aims to analyze the tourism network in East Java using Google Trends data and directed graph models. Data were collected based on search queries combining the keyword "wisata" (tourism) with city or regency names in East Java for the year 2023. The analysis employed the PageRank algorithm to identify key network hubs and the Adamic-Adar index to predict new connections between regions. Spatial visualization was conducted using QGIS, while network analysis was carried out using NetworkX. The results revealed that Malang and Surabaya act as central hubs in the tourism network, with high connectivity to other regions. Meanwhile, regions such as Pacitan were identified as isolated nodes within the network. Based on these findings, the study recommends strategies to enhance inter-regional connectivity, including infrastructure development and integrated tourism promotion. This study provides data-driven insights that can assist tourism authorities in improving the attractiveness and sustainability of the tourism sector in East Java.
Nexus Islamic Finance Development and Income Inequality in Indonesia: Testing Kuznets Curve Hypothesis Shofi Dana, Badara; Himmati, Risdiana; Salim, Agus
Economica: Jurnal Ekonomi Islam Vol. 16 No. 2 (2025)
Publisher : Fakultas Ekonomi dan Bisnis Islam UIN Walisongo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/economica.2025.16.2.26318

Abstract

This study analyzes the applicability of the Kuznets curve hypothesis within the specific context of Islamic finance development in Indonesia and its resultant implications for income inequality. The novelty of this research lies in integrating Islamic finance, specifically from the banking sector, with Islamic social finance instruments, namely zakat, infaq, and sadaqah. Crucially, it interrogates whether the Kuznets curve hypothesis remains pertinent within this expanded framework. Utilizing secondary panel data encompassing 25 Indonesian provinces over the 2019–2020 period, the study employs panel data regression techniques, specifically common effect, fixed effect, and random effect models, which were systematically selected via the Chow, Hausman, and Lagrange multiplier tests. The empirical findings demonstrate unequivocally that the development of Islamic finance, spanning both the financial and social sectors, significantly influences income inequality. This substantiates the Kuznets curve hypothesis: inequality initially escalates but subsequently diminishes as development matures. Furthermore, the results underscore the role of the Human Development Index (HDI) and the prevalence of mosques in mitigating inequality, while population density exhibits a positive association with inequality. This study conclusively argues that strengthening financial inclusion and professionalizing the management of Islamic social finance constitute strategic approaches for mitigating income inequality in Indonesia.