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All Journal Journal of Social Research Jurnal Sistem Informasi
Nilamsari Putri Utami
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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Intention to Visit Tourist Destinations: The Effect of Using Mobile Tourism Recommender System on Visit Intention by Using TTF Aspects, Technological Features, and Social Motivation Suryana Setiawan; Nilamsari Putri Utami; Mohammed Al Kwarizmi Dwi Anggara; Muhamad Raihan Fikriansyah; Muhammad Daril Nofriansyah; Rania Azzahra; Achmad Nizar Hidayanto
Jurnal Sistem Informasi Vol. 18 No. 1 (2022): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (883.087 KB) | DOI: 10.21609/jsi.v18i1.1142

Abstract

This study aims to determine whether the use of the MTRS application can affect the intention to visit tourist destinations and the level of influence of the factors that can influence it. The model in this study involves the Task-Technology Fit (TTF) model and aspects, technological features, social motivation, visit intention, and use intention to identify visit intention. The method used to collect data in this research is a web-based online survey using Google Forms distributed through social media. The target respondents were individuals who had used the mobile tourism recommender system. Data from 213 valid respondents were processed and analyzed using Structural Equation Modeling (SEM) with the help of the SmartPLS application. The conclusion is that the use of the MTRS application can affect the intention to visit tourist destinations.
Master Data Management Maturity Model (MD3M) Assessment: Case Study of PT Graha Segara Farhan Setya Dhitama; Imairi Eitiveni; Nilamsari Putri Utami
Journal of Social Research Vol. 4 No. 3 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i3.2451

Abstract

This study focuses on assessing the maturity level of Master Data Management (MDM) implementation at PT Graha Segara, a service provider in the logistics industry, with a particular focus on data inconsistencies resulting from manual container data management. MDM plays a critical role in ensuring data consistency, quality, and integrity, which are essential for efficient operations. The study utilizes the Master Data Management Maturity Model (MD3M) to evaluate the current state of MDM practices within the company and identifies key challenges, including the impact of data inconsistencies on billing processes and the obstacles to effective data integration at container terminals. The results of the research highlight how manual data entry errors create inefficiencies, disrupt business processes, and delay critical operations. By assessing the company's current MDM maturity, this study aims to provide a comprehensive understanding of the issues at hand and offers strategic recommendations to improve the implementation of MDM. These recommendations are designed to enhance the quality and consistency of data, streamline operations, and improve overall operational efficiency. Ultimately, this research will contribute to the development of a more reliable data management system, enabling PT Graha Segara to optimize its business processes and better support the company’s growth and customer satisfaction.
Co-Authors Achmad Nizar Hidayanto Farhan Setya Dhitama Imairi Eitiveni Mohammed Al Kwarizmi Dwi Anggara Muhamad Raihan Fikriansyah Muhammad Daril Nofriansyah Rania Azzahra Suryana Setiawan