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All Journal Journal of Economics and Regional Science ProBisnis : Jurnal Manajemen
Alam, Fajar Samsu
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Humanities Computer Science & IT Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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Factors Affecting Decisions to Use Online Transportation Services (Maxim Case Study in Timika City) Alam, Fajar Samsu; Jasmin, Jasmin; Rombe, Irianti; Nusa, Yahya
ProBisnis : Jurnal Manajemen Vol. 15 No. 3 (2024): May-June: Management Science
Publisher : Lembaga Riset, Publikasi dan Konsultasi JONHARIONO

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Abstract

This article aims to analyze the influence of price, service quality, promotion, accessibility and user experience on the decision to use the Maxim online transportation service in Timika City. This research uses primary data collected through questionnaires distributed to Maxim service users. The research method applied is the Multiple Linear Regression Analysis method, with analysis tools using SPSS 25 software. The research results show that the price variable has a negative and significant effect on the decision to use Maxim services. The service quality variable has a positive and insignificant influence. Promotion variables have a positive and significant influence on usage decisions. Accessibility shows a negative and insignificant influence, while user experience has a positive and significant influence on the decision to use Maxim services in Timika City
Analisis Pengaruh Pendapatan Asli Daerah, Penanaman Modal Asing Dan Pertumbuhan Ekonomi Terhadap Indeks Pembangunan Manusia Kabupaten Mimika Alam, Fajar Samsu; Bakar, Abu
Journal of Economics and Regional Science Vol. 4 No. 1 (2024): Journal Of Economics and Regional Science
Publisher : STIE Jambatan Bulan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52421/jurnal-esensi.v4i1.456

Abstract

This article aims to analyze the relationship between Original Regional Income, Foreign Investment, and Economic Growth on the Human Development Index. The data used in this study is secondary data covering the period 2013-2022. The data source comes from the Central Statistics Agency. The research method applied is the Multiple linear regression Analysis method, with analysis tools using SPSS 25 software. The research results show that local income has a positive and significant effect on the human development index, while foreign investment and economic growth have a negative and significant effect on the human development index.
Co-Authors Abu Bakar Jasmin, Jasmin Rombe, Irianti