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Pengaruh E-Commerce dan Kontrol Diri terhadap Perilaku Konsumtif Mahasiswa Politeknik Statistika STIS di Era Digital Nandita, Ni Komang Diva Amalia Putri; Purwoto, Agus; Supiadi, Nugraha Wahyu Putra; Sinaga, Vhania Mutiara; Parhas, Zahwa Zalzabila
Madani: Jurnal Ilmiah Multidisiplin Vol 2, No 7 (2024): Madani, Vol 2. No. 7, 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.12513042

Abstract

Consumptive behavior refers to the tendency of individuals to consume goods excessively without careful consideration. This behavior is prevalent among the younger generation, particularly among students. This study aims to investigate the influence of e-commerce and self-control on the consumptive behavior of students at Politeknik Statistika STIS. The analysis is conducted using a sample of 94 students from the first to the third year at Politeknik Statistika STIS. The results are obtained using logistic regression and ordinal regression analysis. The findings indicate that the variables of student gender, all categories of self-control status, and all categories of e-commerce influence have a significant simultaneous effect on the consumptive behavior status of Polstat STIS students.
Analisis Spasial Tingkat Kriminalitas Kabupaten/Kota di Provinsi Sumatera Utara Tahun 2022 Sinaga, Vhania Mutiara; Pasaribu, Ernawati
Seminar Nasional Official Statistics Vol 2025 No 1 (2025): Seminar Nasional Official Statistics 2025
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2025i1.2464

Abstract

Security from crime is a fundamental human right, highlighted in Goal 16 of the Sustainable Development Goals (SDGs). Indonesia continues to experience relatively low safety levels, with North Sumatera Province significantly contributing to the national crime rate. The high criminality in this region is influenced by social, economic, demographic, and political factors, and spatial effects, where crime rates in one area can impact neighboring regions. This study aims to analyze crime levels in North Sumatera while incorporating these spatial effects. Utilizing secondary data from Badan Pusat Statistik, the analysis employs the Geographically Weighted Regression (GWR) method, which accounts for spatially varying relationships between variables using Fixed Gaussian weighting based on constant spatial distances. The findings reveal spatial heterogeneity, indicating differing relationships across regions. Five independent variables significantly affecting crime levels include average years of schooling, population density, per capita expenditure, number of police officers, and the Gini ratio.