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All Journal Ekonomi Bisnis Krea-TIF: Jurnal Teknik Informatika Data Science: Journal of Computing and Applied Informatics IIJSE Journal of Computer Science and Technology Application

Usino, Wendi

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Author-ID : 1490671

Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Library & Information Science Other

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Student Satisfaction as Mediation Variabel of Brand Image and Service Quality Influence on Student Loyalty Murtiningsih, Dewi; Usino, Wendi; Elizabeth, Elizabeth; Juariyah, Lohana
Ekonomi Bisnis Ekonomi Bisnis, Volume 26, No.3, November 2021
Publisher : Departemen Manajemen Fakultas Ekonomi dan Bisnis Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um042v26i3p140-150

This research aims to find out student satisfaction as a mediation variable of brand image and service quality influence on student loyalty. This research is explanatory. The total sample used in this research is 110 students. The questionnaire is used as an instrument to collect the respondent's data, which will be tested using validity and reliability test. The analysis instrument used in this research is Smart PLS. The research results show that brand image does not influence student satisfaction, the brand image does not influence student loyalty, student satisfaction does not mediate the influence of brand image on student loyalty, student satisfaction influences student loyalty, service quality influences student satisfaction, service quality does not influence student loyalty, and student satisfaction mediates the influence of service quality on student loyalty. It seems that in private university in medium rank, brand image of university does not influence student satisfaction and student loyalty. Therefore, for next research, it is better to consider the rank of university and its status as private or state university and also age of university. Furthermore, the instrument should be specific for higher education context.Keywords: Brand Image; Service Quality; Student Satisfaction; Student Loyalty

SISTEM PAKAR PEMBAGIAN WARIS MENGGUNAKAN METODE FORWARD DAN BACKWARD CHAINING Tirkaamiasa, Taufik; Usino, Wendi
Krea-TIF: Jurnal Teknik Informatika Vol 3 No 2 (2015)
Publisher : Fakultas Teknik dan Sains, Universitas Ibn Khaldun Bogor

Division of inheritance problems often lead to internal conflicts in the family and sometimes have to be resolved through religious courts. The science of inheritance distribution in Islam is called fara’idh, while the religious court used KHI (Compilation of Islamic Law). The small number of Muslims who understand the science fara'idh and KHI and the difficulty of getting an expert in the science, is a problem that must be solved. Offered a solution to the division of inheritance expert system using forward and backward chaining method on the basis of rules (rule-based reasoning). By using both methods can produce an expert system that is able to calculate the division of inheritance to the heir or heirs of a replacement in a single input and process. Users can also elect to use faraidh or KHI and predict the outcome.

Analysis of the Effect of System Quality, Information Quality, and Service Quality on User Satisfaction of T24 Application (Temenos Transact Core Banking) with Perceived Usefulness as an Intervening Variable (Case Study: J Trust Bank Indonesia) Prasetya, Budi; Mahardhika, Dimas Prayogo; Usino, Wendi
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 3 (2025): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i3.6912

This study aims to analyze the effect of system quality, information quality, and service quality on user satisfaction of the T24 application (Temenos Transact Core Banking) with perceived usefulness as an intervening variable, with a case study at J Trust Bank Indonesia. The research sample consisted of 113 respondents who were users of the T24 application. The analysis method used was Structural Equation Modeling-Partial Least Squares (SEM-PLS). The results showed that information quality did not have a significant effect on user satisfaction and perceived usefulness. Service quality had a significant effect on user satisfaction and perceived usefulness, with influence coefficients of 0.430 and 0.448, respectively. In addition, system quality had a significant effect on perceived usefulness (0.353), but did not have a direct effect on user satisfaction. Perceived usefulness was shown to have a significant effect on user satisfaction (0.268). The mediation relationship through perceived usefulness on user satisfaction shows that information quality, service quality and system quality do not have a significant effect with each P-Value of (0.428), (0.066) and (0.065). This study reveals the importance of service quality as a major factor in increasing user satisfaction with the support of system quality to strengthen the perception of the benefits of using the T24 application.

Analyzing Decision Support System for Determining Eligibility of Home Ownership Loan Using Fuzzy Mamdani Logical Method and Technology Acceptance Model in Banking Usino, Wendi; Bayyinah, Ayi
Data Science: Journal of Computing and Applied Informatics Vol. 3 No. 1 (2019): Data Science: Journal of Computing and Applied Informatics (JoCAI)
Publisher : Talenta Publisher

Every year, the number of people who want to own a house by credit increase, therefore the chances of increasing problem loans will be greater. Non-Performing Loan (NPL) is an indicator to assess the performance of bank functions. The higher the NPL value, the performance of the bank is considered worse. In order to maintain the caution of banks (creditors) in the provision of credit, the bank needs to assess and determine the criteria of debtors who can be given credit. So the bank can make decisions precisely and accurately. In this research, the Researcher will design decision support system with Mamdani fuzzy logic method with the resulted output in the form of "rejected" or "approved" decision. The accuracy rate in this study is 98%. 2% of the difference consists of 63.64% is a debtor with NPL credit status (problematic). After the system was designed in this study, the researcher conducted an analysis to see the user behavior when using the system. The method used is Technology Acceptance Model (TAM). The result of TAM analysis is the simultaneous relationship among of all variables on the acceptance of information technology (acceptance of IT) have a positive impact. However, a partial relationship between perceived usefulness and attitude toward using does not have a positive effect.

Big Data Analytics: Transforming Business Intelligence and Decision Making Usino, Wendi; Ayu Rini Kusumawardhani, Dhiyah; Ramadhan, Tarisya; Pratiangga, Aptanta; Qurotulain, Olivia
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/2wf1s376

In today's rapidly evolving digital landscape, organizations are increasingly leveraging Big Data Analytics to transform business intelligence and enhance decision-making processes. This study explores how businesses utilize Big Data to gain insights into operations, customer behaviors, and market trends, specifically focusing on the retail, healthcare, and financial sectors. By employing a mixed-method approach that combines qualitative and quantitative data, the research analyzes case studies from a major international retailer, a leading healthcare provider, and a global bank. Data sources include semi-structured interviews with industry experts, surveys, and secondary data from existing literature. The findings indicate significant improvements in customer retention (20\%), operational efficiency (with a 15\% reduction in inventory costs in retail and a 10\% reduction in hospitalization rates in healthcare), and fraud reduction (a 25\% decrease in fraudulent transactions in financial services). However, the study also identifies ongoing challenges such as data quality issues, high implementation costs, and complexities in integrating Big Data Analytics with existing systems. The research concludes by emphasizing the importance of addressing these challenges to fully capitalize on Big Data's potential for competitive advantage and suggests that future studies should explore the ethical implications and the impact of emerging technologies on Big Data Analytics to further enhance its effectiveness in business intelligence.

Co-Authors Ayu Rini Kusumawardhani, Dhiyah Bayyinah, Ayi Budi Prasetya Dewi Murtiningsih Elizabeth Yohanes Lohana Juariyah Mahardhika, Dimas Prayogo Pratiangga, Aptanta Qurotulain, Olivia Ramadhan, Tarisya Tirkaamiasa, Taufik

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