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All Journal Journal Of Management Science (JMAS) Jurnal Mantik International Journal of Economics, Business and Accounting Research (IJEBAR) Ilomata International Journal of Management Ilomata International Journal of Management Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Ekonomi Journal of Management and Digital Business Capacitarea : Jurnal Pengabdian Kepada Masyarakat Jurnal Multidisiplin West Science Madani: Multidisciplinary Scientific Journal Socius: Social Sciences Research Journal Mutiara : Jurnal Ilmiah Multidisiplin Indonesia El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal Ilmiah Multidisiplin Ulil Albab Primary Journal of Multidisciplinary Research
Dody Pratama Marumpe
Faculty Of Economics And Business, Universitas Tanjungpura
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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The influence of E-WOM and brand image on purchase decision of the originote Adinda, Gadis Tri; Purmono, Bintoro Bagus; Afifah, Nur; Barkah, Barkah; Marumpe, Dody Pratama
Jurnal Ekonomi Vol. 13 No. 01 (2024): Jurnal Ekonomi, Edition January - March 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study explores the increasing popularity of social media, particularly the TikTok platform, in influencing changes in online shopping behavior. The primary focus is to examine the impact of Electronic Word of Mouth (E-WOM) and brand image on purchase decisions, with consumer trust as a mediating variable. The research design adopts a quantitative approach with a descriptive method. Data is collected through surveys, targeting all TikTok app users who have made purchases of The Originote skincare products, totaling 223 respondents. Non-probability sampling, specifically purposive sampling, is employed. Data is analyzed using Structural Equation Modeling (SEM) and the statistical tool AMOS. This method strengthens hypotheses, tests and evaluates relationships between the independent factors of E-WOM and brand image, the dependent variable of purchase decisions, and the mediating role of consumer trust. The aim of this research is to provide insights into the influence of E-WOM and brand image on purchase decisions, with consumer trust serving as the mediator. The findings are expected to contribute to a better understanding of online shopping in the era of social media, particularly on the TikTok platform.
Evaluating SEVIMA Academic System Effectiveness in Managing Lecturer Performance Through the DeLone–McLean Information Success Model Marumpe, Dody Pratama; Yulindisti, Elga; Hafiidz, Ziqri Muhamad; Rahmasari, Naila Ayu; Yosefin, Emelia
Ilomata International Journal of Management Vol. 7 No. 2 (2026): April 2026
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijjm.v7i2.2023

Abstract

Digital transformation has increased the demand for academic information systems that are accurate, user-friendly, and interoperable. At Universitas Tanjungpura, SEVIMA functions as a central reporting system for lecturer performance within a fragmented digital ecosystem that includes SISTER, Edlink, SKP, and SINTA. This fragmentation often leads to usability issues, unclear information, limited service responsiveness, and reduced work efficiency. This study aims to examine the effects of system quality, information quality, and service quality on system use, user satisfaction, and lecturer performance, as well as the mediating roles of system use and user satisfaction. A quantitative approach was employed by surveying 119 lecturers who actively use SEVIMA, with data analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate moderate explanatory power, with R² values of 0.630 for user satisfaction, 0.582 for system use, and 0.618 for lecturer performance. All quality dimensions significantly influence system use and user satisfaction. User satisfaction exerts the strongest direct effect on lecturer performance, followed by system use. Mediation analysis confirms that both variables significantly mediate the relationship between quality dimensions and lecturer performance, with user satisfaction acting as the dominant mediator. These findings emphasize the importance of improving system integration, user-centered design, and institutional support to enhance lecturer performance and reduce digital fatigue in higher education information systems.
Evaluating SEVIMA Academic System Effectiveness in Managing Lecturer Performance Through the DeLone–McLean Information Success Model Marumpe, Dody Pratama; Yulindisti, Elga; Hafiidz, Ziqri Muhamad; Rahmasari, Naila Ayu; Yosefin, Emelia
Ilomata International Journal of Management Vol. 7 No. 2 (2026): April 2026
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijjm.v7i2.2023

Abstract

Digital transformation has increased the demand for academic information systems that are accurate, user-friendly, and interoperable. At Universitas Tanjungpura, SEVIMA functions as a central reporting system for lecturer performance within a fragmented digital ecosystem that includes SISTER, Edlink, SKP, and SINTA. This fragmentation often leads to usability issues, unclear information, limited service responsiveness, and reduced work efficiency. This study aims to examine the effects of system quality, information quality, and service quality on system use, user satisfaction, and lecturer performance, as well as the mediating roles of system use and user satisfaction. A quantitative approach was employed by surveying 119 lecturers who actively use SEVIMA, with data analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate moderate explanatory power, with R² values of 0.630 for user satisfaction, 0.582 for system use, and 0.618 for lecturer performance. All quality dimensions significantly influence system use and user satisfaction. User satisfaction exerts the strongest direct effect on lecturer performance, followed by system use. Mediation analysis confirms that both variables significantly mediate the relationship between quality dimensions and lecturer performance, with user satisfaction acting as the dominant mediator. These findings emphasize the importance of improving system integration, user-centered design, and institutional support to enhance lecturer performance and reduce digital fatigue in higher education information systems.
Co-Authors Adelia, Steven Adinda, Gadis Tri Afrida dewinta Ahmad Fathoni Ahmad Shalahuddin, Ahmad Albert Lianto Aldy, Aldy Angelina, Deva Anwar Azazi Aprija, Een Arman Jaya Asari, Rika Asy Syifa, Alifiya Adhiya Augustine, Intanie Balqis, Nawal Barkah Barkah Barkah, Barkah Benidikto, Markus Iman Bintoro Bagus Purmono Damayanti, Nurlia Eka Daud, Ilzar Efa Irdhayanti Erna Listiana Erna Listiana Fachry Abda El Rahman Fajar, Alfan Fitonia, Blessita Putri Hafiidz, Ziqri Muhamad Hasanudin Hasanudin Hasanudin Helma Malini, Helma Henbuluh, Genos Moretto Ikram Yakin Ilzar Daud Irdhayanti, Efa Istikarani, Miranda Ivana, Priska Riafinola Izza Haniyah Karsim, Karsim KURNIA KURNIA, KURNIA M. Irfani Hendri Manurung, Jesaya Herlangga Mazayatul Mufrihah B11212091 Melvina, Via Mualis, Rizky Septian Muhammad Afif Muhammad Rinaldi Nabila, Amaninda Jihan Nur Afifah Pangestu, Victor Kurniawan Purmono, Bintoro Bagus Putra, Mahesa Ekha Putra, Reinaldo Dede Rahmaniar, Desi Rahmasari, Naila Ayu Raihantama, Octa Ramadania Ramadhani, Hanif Fariz Rika, Septiani Syari, Nadia Ukti Titik Rosnani Visto, Yohanes Welim Hansen Wisnu Prasetyo Yosefin, Emelia Yulindisti, Elga