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All Journal Jurnal Statistika dan Aplikasinya STATISTIKA
Yekti Widyaningsih
Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Social Sciences Other

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Analysis of Factors Influencing QRIS Usage in Banten, DKI Jakarta, and West Java Provinces Yekti Widyaningsih; Galih Nur Kantaatmaja
Statistika Vol. 26 No. 1 (2026): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v26i1.9826

Abstract

Abstract. Quick Response Code Indonesian Standard is a non-cash payment method developed to support the digital transformation of Indonesia’s national payment system. Through a single QR code, various digital wallet applications and mobile banking platforms can be interconnected, offering convenience in transactions for both businesses and consumers. Although various factors, such as demographic differences and user behavior, are presumed to influence QRIS usage, there has been limited research exploring these aspects in depth. Therefore, this study aims to analyze the factors that influence QRIS usage by employing the ordinal logistic regression model, focusing on both demographic attributes and smartphone usage behavior. The ordinal logistic regression is a statistical technique designed to examine the relationship between an ordinal response variable and one or more independent variables. This model is suitable for analyzing data where the dependent variable consists of ordered categories. Overall, income and smartphone type emerge as consistently significant variables across all studied regions. Users with higher income levels and those using iOS-based smartphones tend to exhibit higher levels of QRIS usage compared to other groups. Based on the k-fold cross-validation method, the ordinal logistic regression model employed in this study yields an overall accuracy rate of 65.22%. These results indicate that both demographic factors and smartphone usage behavior have a significant impact on QRIS adoption in the observed regions.
ANALYSIS OF FACTORS EXPLAINING SENIOR HIGH SCHOOL DROPOUT RATE USING GEOGRAPHICALLY WEIGHTED REGRESSION Yekti Widyaningsih; Hana Adzania Nufaisah
Jurnal Statistika dan Aplikasinya Vol. 10 No. 1 (2026): Jurnal Statistika dan Aplikasinya
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.10106

Abstract

East Nusa Tenggara (NTT) Province is one of the areas experiencing the problem of dropping out of high school education. Even though NTT Province has adequate educational facilities and teaching staff, the high school dropout rate in NTT Province always ranks top 9 in Indonesia for the 2019/2020 academic year to 2021/2022. Dropping out of school can be influenced by region (spatial) and does not occur at one time, so research is needed using panel-structured spatial data that accommodates spatial effects over time. Geographically Weighted Panel Regression (GWPR) is a local regression analysis method that considers the effect of spatial heterogeneity on panel-structured spatial data. This study aims to analyse the factors that explain the high school dropout rate in NTT Province in 2019-2021 using GWPR. The results showed that the GWPR model with the Fixed Exponential weighting function was the best model compared to other weighting functions based on  and AIC. Population density, student-teacher ratio, regional minimum wage, open unemployment rate, student-to-school ratio, average length of schooling, and Smart Indonesia Program budget have a significant effect on explaining high school dropout rates in at least 21 regencies/cities in NTT Province. Grouping districts/cities based on variable significance using k-modes clustering produces 4 groups.
Co-Authors Galih Nur Kantaatmaja Hana Adzania Nufaisah