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All Journal Semeton Mathematics Journal IJASDS: Indonesian Journal of Applied Statistics and Data Science
Ramdhani, Triana Putri
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Economics, Econometrics & Finance Environmental Science Mathematics Public Health Social Sciences

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Analisis Minat Pemilih Mahasiswa Gen Z di Universitas Mataram Terhadap Pemilihan Gubernur Di NTB Tahun 2024 Zulhan Widya Baskara; Amini, Elsa; Fauzi, Meilinda; Ramdhani, Triana Putri; Ulfaturrahmi, Ulfaturrahmi; Putri, Dina Eka; Baskara, Zulhan Widya
Semeton Mathematics Journal Vol 2 No 1 (2025): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i1.295

Abstract

This study aims to analyze the determinants of voting behavior among Generation Z students in the context of the 2024 Gubernatorial Election in West Nusa Tenggara (NTB), Indonesia. Utilizing a quantitative approach, the research applies multiple linear regression to examine the influence of sociological, psychological, and rational factors on voting behavior. Primary data were collected through an online questionnaire distributed to 97 purposively selected active students at the University of Mataram. The instrument employed a 4-point Likert scale to minimize neutral responses. The findings reveal that psychological and rational factors significantly influence voting behavior, whereas sociological factors do not show a statistically significant effect. The regression model yielded an Adjusted R² value of 0.549, indicating that the three independent variables explain 54.9% of the variance in voting behavior.
Regresi Komponen Utama dalam Mengatasi Multikolinieritas pada Faktor-Faktor yang Mempengaruhi Inflasi di Indonesia Ningrum, Salsabila Hadi Putri; Hisan, Khairatun; Ramdhani, Triana Putri; Luzianawati, Luzianawati; Zindawi, M. Daffa Rizki; Harsyiah, Lisa
Indonesian Journal of Applied Statistics and Data Science Vol. 2 No. 1 (2025): Mei
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijasds.v2i1.5827

Abstract

Inflation is a significant concern for a developing country like Indonesia. To effectively anticipate inflationary trends, it is essential to conduct statistical analysis to determine what factors can influence inflation. This study utilized Principal Component Regression (PCR) to address multicollinearity in the regression model linking inflation to various factors. The results revealed that transportation, food, electricity and household fuel factors positively correlate with inflation, while health, education and clothing show negative correlations. However, the resulting regression model proved to be inadequate, as evidenced by a very low R-square value. This highlights the necessity for further refinement of the model to provide better information in the context of inflation management in Indonesia.
Co-Authors Amini, Elsa Dina Eka Putri Fauzi, Meilinda Harsyiah, Lisa Hisan, Khairatun Luzianawati, Luzianawati Ningrum, Salsabila Hadi Putri Ulfaturrahmi, Ulfaturrahmi Zindawi, M. Daffa Rizki Zulhan Widya Baskara