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All Journal Madani: Multidisciplinary Scientific Journal
Hondro, Yizhar Saputra
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Journal : Madani: Multidisciplinary Scientific Journal

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Analisis Faktor-faktor yang Mempengaruhi Keputusan Pembelian Mobil Menggunakan Regresi Logistik Biner Haliza, Putri Yusra; Tamara, Angga; Mario, Christoffel; Hondro, Yizhar Saputra; Siahaan, Linda Natasya; Dalimunthe, Syairal Fahmy
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 2 (2025): March
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15077946

Abstract

This study aims to analyze the factors influencing car purchase decisions using binary logistic regression. Data were obtained from 1,000 respondents with independent variables including age, marital status, gender, car ownership, and income. The analysis results show that marital status, gender, and income significantly influence purchase decisions. Married respondents tend to have a lower likelihood of purchasing a car compared to single respondents, while females have a smaller tendency compared to males. On the other hand, higher income significantly increases the probability of car purchase. The constructed binary logistic regression model has a prediction accuracy of 93.8%, demonstrating its reliability in classifying purchase decisions. This study provides valuable insights for the automotive industry in designing effective and targeted marketing strategies. Additionally, further exploration of other factors such as brand preferences, geographic location, and psychological factors is recommended to enrich the understanding of automotive market behavior.
Analisis Autokorelasi Spasial: Studi Kasus Pembangunan Sekolah dan Kepadatan Penduduk di Wilayah Sumatera Utara Hondro, Yizhar Saputra; Triono, Wira; Panjaitan, Rizky Rafiza
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 3 (2025): April 2025
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15152625

Abstract

This study uses a quantitative approach that examines the development of schools, especially elementary schools, towards population density in the North Sumatra region using the Moran's I and LISA methods. Defining spatial autocorrelation as the relationship between the closest spatial units as seen on the map, and based on the results of the analysis, 4 regions were obtained for the number of residents that significantly influenced autocorrelation, including Deli Serdang (p-value = 0.0004), Karo (p-value = 0.0086), Medan (p-value = 0.00001), and Binjai (p-value = 0.0028). In addition, for the number of elementary schools, 7 regions were obtained that significantly influenced autocorrelation, namely Batu Bara (0.0371), Deli Serdang (p-value = 0.0003), Karo (p-value = 0.0006), Binjai (p-value = 0.0015), Medan (p-value = 0.0009), Pematangsiantar (p-value = 0.0279), and Sedang Berdagai (p-value = 0.0310). These regions have p-values less than 0.05 so it can be concluded that these regions significantly influence spatial autocorrelation.
Co-Authors Haliza, Putri Yusra Mario, Christoffel Panjaitan, Rizky Rafiza Siahaan, Linda Natasya Syairal Fahmy Dalimunthe Tamara, Angga Triono, Wira