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All Journal Upajiwa Dewantara : Jurnal Ekonomi, Bisnis dan Manajemen Daulat Rakyat J-MAS (Jurnal Manajemen dan Sains) Owner : Riset dan Jurnal Akuntansi International Journal of Economics, Business and Accounting Research (IJEBAR) Proceeding of National Conference on Accounting & Finance Journal of Applied Engineering and Technological Science (JAETS) Jurnal Pengabdian UNDIKMA APPLIED RESEARCH ON CIVIL ENGINEERING AND ENVIRONMENT (ARCEE) Yumary: Jurnal Pengabdian kepada Masyarakat Enthusiastic : International Journal of Applied Statistics and Data Science FORUM EKONOMI: Jurnal Ekonomi, Manajemen dan Akuntansi
Putri, Wika Harisa
Department Of Accounting, Janabadra University, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Nursing Public Health Social Sciences Transportation Other

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Memahami Faktor Pembentuk Niat Pembelian Online di Indonesia: Eksistensi Sosial dalam e-Commerce, Sinyal Afiliasi Politik, Persepsi Kewajaran Harga, dan Kepercayaan Harnaji, Bimo; Andika, Andika; Putri, Wika Harisa
J-MAS (Jurnal Manajemen dan Sains) Vol 9, No 1 (2024): April
Publisher : Universitas Batanghari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jmas.v9i1.1543

Abstract

In the context of Industry 4.0, widespread internet penetration has significantly changed social and political dynamics and consumption behavior. This study analyzes the influence of social presence in e-commerce, perceived price fairness, and consumer trust on online purchase intentions in Indonesia, including these variables' direct and indirect impacts. This study also explores the role of political affiliation in the context of online image management by public figures, which is relevant for business continuity in Indonesia. The study adopted a quantitative approach, surveying 153 respondents in Indonesia. Data was collected and analyzed using Descriptive Statistical Analysis and Structural Equation Modeling (SEM) to validate the proposed hypotheses. The findings show that social presence in e-commerce partially influences perceived price fairness and trust. Similarly, perceived price fairness and trust have a partially significant impact on purchase intentions in online marketplaces. However, political affiliation signals have no significant influence on online purchase intentions. This research provides new insights into the dynamics of online purchasing in Indonesia, particularly concerning social and political factors. The findings are essential for e-commerce businesses to develop more effective marketing strategies, considering social aspects and perceived price fairness. In addition, this study suggests the importance of separating political image from online business activities for public figures and politicians to avoid negative impacts on consumer perceptions. Academics and practitioners can use these findings as a basis for further research examining the impact of socio-political variables on online consumer behavior.
Exploring Daily Activity Pattern Using Spatio-Temporal Statistics with R for Predicting Trip Production Willdan, Muhamad; Ramadhan, Raihan Iqbal; Kresnanto, Nindyo Cahyo; Putri, Wika Harisa
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 3 Issue 1, April 2023
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol3.iss1.art6

Abstract

Spatio-temporal data modelling is one of the methods in data analysis that uses space (spatial) and time (temporal) approaches. This study used Spatio-temporal statistical modelling to observe the daily activity patterns of people. Spatio-temporal modelling selected for support activity-based transportation demand. This research identifies community mobility patterns that will provide trip production data for transportation demand prediction. Using Spatio-temporal statistical modelling benefit this study because statistical this model can make model components in a physical system appearing to be random. Even if they are not, the models are helpful as they have accurate and precise predictions. In this study, descriptive analysis was used. Incorporating statistical distributions into the model is a natural way to solve the problem. This research collects daily activity data from 400 respondents recorded every 15 minutes. From this data, a pattern of respondents’ daily activities was formed, which was analyzed using R. Software R also visualizes data on daily activities of the community in Spatio-temporal modelling. This research aims to depict the daily activity patterns to predict trip production. This research found three clusters of trip production patterns with specific groups member and specific patterns between workdays and holidays.
Co-Authors Andari, Eni Andika Andika Feliana Astuti Harnaji, Bimo Kusmaryati Dwi Rahayu Muhamad Willdan Nindyo Cahyo Kresnanto Nova Nova Nurdin Nurdin PUJI LESTARI Raharti, Rini Raharti, Rini Raihan Iqbal Ramadhan Ramadhan, Raihan Iqbal Retno Lantarsih Robby Wijaya Setianan, Andreas Ronald Sulistyarini, Sulistyarini Willdan, Muhamad