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All Journal Eduvest - Journal of Universal Studies Jurnal Sistem Informasi
Christine Cecylia Munthe
Universitas Indonesia
Aerospace Engineering Computer Science & IT Health Professions Neuroscience Social Sciences

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Factors Influencing the Decline in Use of The Nebengers Application Christine Cecylia Munthe; Panca Oktavia Hadi Putra
Jurnal Sistem Informasi Vol. 21 No. 1 (2025): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jsi.v21i1.1437

Abstract

Nebengers is a popular ride-sharing application that helps many users find traveling companions and reduces the use of private vehicles in several regions in Indonesia. In 2022, there has been an increase in travel requests but a decrease in trip completion; in fact, only twenty-five percent of travel requests have been completed. This research aims to analyze the factors influencing the decline in trip completion in the Nebengers application based on the user's perspective. The identification process was carried out by conducting interviews with guided questions referring to the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) Model and the Systematic Literature Review (SLR) results. Thematic analysis was used to identify factors discovered during the interviews. The results of the thematic analysis are four themes of factors that influence the use of the Nebengers application: Effort Expectancy, Facilitating Conditions, Hedonic Motivation, and Habit.
ERP System Selection Analysis Using the Analytical Hierarchy Process (AHP): A Case Study of an Automotive Manufacturing Company Abdul Sidik; Riri Satria; Irhanas Hanafi Rahmat; Bimo Iman Smartadi; Christine Cecylia Munthe
Eduvest - Journal of Universal Studies Vol. 6 No. 6 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i6.52780

Abstract

PT XYZ is an automotive component manufacturer facing a 15% data mismatch between production reports and inventory data. This issue has led to a 62% increase in operational costs, 12% product delivery delays, and a 40% risk of customer contract fines. To overcome these challenges, the company plans to implement an ERP system to improve data accuracy and operational efficiency. However, the main challenge remains determining which ERP system best suits the company's business need. This research aims to provide recommendations for the right ERP system for PT XYZ using the Analytical Hierarchy Process (AHP) method. This approach involved interviews with Inventory Supervisors, Finance Managers, Production Managers, and Business Directors, as well as analysis of criteria that have been validated through literature studies. AHP is used to prioritize key criteria, namely Ease of Use, Price, Adaptability, Scalability, and Time on the Market, and evaluate four ERP alternatives, namely Odoo Enterprise, SAP, Microsoft Dynamics, and Infor Cloudsuite. The results of the study show that Odoo Enterprise was chosen as an ERP system that is pal-ing according to the needs of PT XYZ. This selection is based on priority calculations using AHP with a consistency level of 0.07, which shows results that are valid enough to support decision-making. The implementation of the right ERP system is expected to be able to solve the problem of asynchronous data, support operational efficiency, sustainable business growth, and increase customer trust in PT XYZ.
Co-Authors Abdul Sidik Bimo Iman Smartadi Irhanas Hanafi Rahmat Panca Oktavia Hadi Putra Riri Satria