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All Journal JOIV : International Journal on Informatics Visualization ComTech: Computer, Mathematics and Engineering Applications International Journal of Advances in Data and Information Systems Jurnal Cahaya Mandalika Eduvest - Journal of Universal Studies
Tjhin, Viany Utami
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Aerospace Engineering Humanities Computer Science & IT Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Neuroscience Social Sciences

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Audit Domain Acquire And Implement dengan Cobit 4.1 pada PT Erajaya Swasembada Tbk Tjhin, Viany Utami
ComTech: Computer, Mathematics and Engineering Applications Vol 5, No 2 (2014): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v5i2.2373

Abstract

The main priority aspect of information and communication technologies is given to control mechanisms, both internal and external in enterprises. It ensures that the reports and the decisions received and generated by the management will support their decision-making. The decisions have honesty and high integrity based on the results of the audit conducted on systems of information and communication technology. The objective of this research is to deliver audit reports of information systems for management and make recommendations on the audit findings in PT Erajaya Swasembada Tbk. Business processes studied included sales, purchasing, finance, and the warehouse. The system used was "Erajaya Live Application Server" and ERP (Enterprise Resource Planning)-based. This research used thedomain of COBIT 4.1: Acquire and Implement. The domain included several sub-domains, which were:identify automated solutions (AI1), acquire and maintain application software (AI2), acquire and maintain technology infrastructure (AI3), enable operation and use (AI4), procure IT resources (AI5), manage changes (AI6), and install and accredit solutions and changes (AI7). Data were collected from interviewing IT Department, distributing questionnaires to respondents, and observing the business processes of this enterprise. Research obtained 57 audit findings on IT implementation. The results of process reference model formulation are 3 findings on AI1subdomain, 5 findings on AI2subdomain, 9 findings on AI3subdomain, 6 findings on AI4 subdomain, 11 findings on AI5subdomain, 13 findings pada AI6subdomain, and 10 findings on AI7subdomain. The level of maturity model of this domain, Acquire and Implement (AI), was found on level 3.
Factors Influencing Public Intention to Use the Kepahiang Local Tax Mobile Application: An Adapted UTAUT Perspective Escobar, Franco; Tjhin, Viany Utami
International Journal of Advances in Data and Information Systems Vol. 6 No. 2 (2025): August 2025 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v6i2.1371

Abstract

This study aims to identify factors that influence the public’s behavioral intention to use the Kepahiang Local Tax Mobile Application. Developed by the Regional Government of Kepahiang Regency through the Revenue Division of the Regional Financial Agency, the application facilitates local tax payments, particularly for PBB-P2 (Rural and Urban Land and Building Tax). The research adopts an extended Unified Theory of Acceptance and Use of Technology (UTAUT) framework, incorporating additional variables such as Computer Self-Efficacy and Cost of Service, along with original UTAUT constructs: Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. It also examines moderating variables including Gender, Age, and Experience. Data were gathered through a questionnaire distributed to 152 respondents and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results reveal that Performance Expectancy and Social Influence significantly and positively affect Behavioral Intention to use the application, whereas Cost of Service shows a negative influence. Furthermore, Gender is found to moderate the relationship between Social Influence and Behavioral Intention. These findings offer insights into the key factors influencing the adoption of government mobile applications, serving as a useful reference for policymakers aiming to increase user acceptance and enhance the effectiveness of digital public services.
What Are The Factors That Affecting The Usage Of Bank Jago Application? Mahardika, Yudha; Tjhin, Viany Utami
Eduvest - Journal of Universal Studies Vol. 4 No. 2 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i2.1022

Abstract

The purpose of this study is to identify the causes that affecting Bank Jago Usage. Starting from a Conventional Bank (Head Quarter) in Bandung in 2019 and now in 2023, Bank Jago already has moved to Jakarta as a Digital Bank, with more than 5 million users. Yet the users still found some weaknesses while using the Bank Jago Application on transferring money, using the features, and making an account. Spreading questionnaires was conducted to Bank Jago Application users, who live in Jabodetabek area (Jakarta, Bogor, Depok, Tangerang, and Bekasi). 136 People was filled the questionnaire as voluntary. Technology Acceptance Model (TAM) and Self-Service Technology (SST) research model was used in this study. The result has been proven that there are two factors, which is Convenience and Perceived Ease of Use. Thus, for future development, from this study, the developer can add some more futures. Such as using the digital wallet by Face Recognition and Fingerprint as Authentication code. The Data processing was using Smart PLS (Structural Equational Modelling) V.3.2.9.
THE ANALYSIS OF FACTORS INFLUENCING INTENTION TO USE PAY LATER USING TECHNOLOGY ACCEPTANCE MODEL (TAM) Jagadhita, Putu Agus Arya; Tjhin, Viany Utami
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 4 No. 1 (2023)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v4i1.1356

Abstract

Financial Technology has changed the payment method in Indonesia which PayLater has become one of the most popular financial products in Indonesia. The users of PayLater have risen since the covid pandemic. In addition, it appears there are issues in the use of PayLater. The users reported their account have been hacked. Despite of the similarity of PayLater and credit card, the trend of PayLater has been increasing since 2021. The study wants to analyse the factors that PayLater has been popularly used on e-commerce but still at lower rank than other payment options and the consideration of users that know the risks that affect the intention to use of users. The purpose of the study is to know that there are factors that affecting the intention to use PayLater on e-commerce. The study adopts variables from Technology Acceptance Model (TAM) and combines with perceived risk variable and trust as mediate variable. The data collection was conducted through an online questionnaire and obtained from 252 respondents. The data was calculated using SmartPLS. The result shows that Perceived Usefulness, Perceived Ease of Use and Trust have a positive effect on the intention to use PayLater and Trust is considered to be partial mediation for Perceived Usefulness and Perceived Ease of Use.
AN EMPIRICAL STUDY ON THE USAGE OF DIGITAL BANK IN INDONESIA Mailoa, Betha Zionetha; Tjhin, Viany Utami
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 4 No. 1 (2023)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v4i1.1360

Abstract

Nowadays, information technology plays an important role as a support for daily activities. The role of this information technology is to provide convenience for its users. The development of information technology in banking is developing rapidly, until now there are digital banks. Therefore, the purpose of this study is to find out the factors that influence customers in the use of digital banks, especially in Indonesia. The research model used in this study is the UTAUT model with the addition of variables fear of financial loss, perceived identity theft, and security & privacy, with behavioral intention and security & privacy as moderation variables. In order to obtain data, data collection in the study was carried out by distributing questionnaires through Google Forms. From the questionnaire distributed, the results of 100 respondents of digital bank users were obtained. The results showed that the variables that have the most significant direct influence on Use Behavior in the use of bank digital applications are rerformance expectancy and security & privacy. Meanwhile, effort expectancy can be concluded that it does not have a significant influence on variable use behavior in digital banks, because both through variable moderation and direct effect, the Effort Expectancy factor does not have a significant influence.
APPLICATION OF DATA MINING FOR EVALUATION OF BEST SELLING INTERNET PACKAGE USING K-MEANS CLUSTERING Rahman, Devo Fauzan; Tjhin, Viany Utami
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 3 No. 3 (2022)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v3i3.1382

Abstract

Data Mining is a process to obtain useful information from a database warehouse in the form of knowledge. Data transaction history of sales can be informative for a business decision. One of the largest telecommunications companies in Indonesia is experiencing problems selling its products in Jambi city. The sales trend for the products has decreased last year. This is due to competitor penetration which increasingly threatens the product’s existence as the company's best-selling product. Several previous studies used analysis based on clustering data to form information. Therefore, this study aims to process sales data into several clusters using the K-means clustering algorithm. The results of the clustering form 5 package categories, namely very in demand (1 data), in demand (1 data), moderate in demand (1 data), less in demand (1 data) and not-in demand (74 data). The grouping of these 5 clusters is based on evaluation by Davies Bouldin Index which yields a value of 0.035. The results of this clustering can be useful for company management to develop marketing strategies in the future.
Artificial Intelligence Adoption on Investment Platform for Robo Advisory Users in Indonesia Fahruri, Arief; Rusmanto, Toto; Warganegara, Dezie Leonarda; Tjhin, Viany Utami
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.2842

Abstract

Robo-advisors provide an alternative financial solution tailored for regular clients. Beyond the acceptability of technology, financial factors significantly influence the adoption of robo-advisors. While existing studies extensively discuss the stages involved in the intention to utilize robo-advisors, only a few offer insights into financial capabilities. The purpose of this study is to investigate the extent to which Indonesian investors embrace robo-advisors by incorporating financial variables such as financial goals and financial literacy into the technology adoption in Robo Advisor. Additionally, the study explores the relationship between application costs and data privacy on the adoption of robo-advisor technology. This research employs a quantitative approach using purposive sampling techniques. Data were collected through a survey of 431 robo-advisor users and analyzed using SmartPLS. The findings reveal a significant and positive correlation between financial goals, perceived technology usefulness, and application costs in the adoption of robo-advisors in Indonesia. These results contribute to the development of investment decision theory using technology-based approaches, specifically robo-advisors. Furthermore, companies in the financial sector, particularly in wealth management or investment management, can benefit from incorporating financial goal features, enhancing technological performance, and setting competitive fees to increase adoption rates. Future research should further explore robo-advisor adoption, focusing on additional financial variables and financial behaviors that drive technology adoption as an investment decision. These findings highlight the importance of considering both financial and technological factors in promoting the use of robo-advisors among investors especially in Indonesia.
Co-Authors Arief Fahruri Escobar, Franco Jagadhita, Putu Agus Arya Mahardika, Yudha Mailoa, Betha Zionetha Rahman, Devo Fauzan Toto Rusmanto Warganegara, Dezie Leonarda