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All Journal Ekonomi Bisnis Martabe : Jurnal Pengabdian Kepada Masyarakat Krea-TIF: Jurnal Teknik Informatika Data Science: Journal of Computing and Applied Informatics Jurnal Sistem Cerdas Journal of Computer Science and Technology Application
Usino, Wendi
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Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Library & Information Science Social Sciences 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

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (845.459 KB) | DOI: 10.32832/kreatif.v3i2.412

Abstract

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.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1451.195 KB) | DOI: 10.32734/jocai.v3.i1-619

Abstract

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

Abstract

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.
SOSIALISASI DAN PENGABDIAN KEPADA MASYARAKAT BERDASARKAN NILAI BERBUDILUHUR DI TENGAH PANDEMI COVID-19 Wahid, Umaimah; Usino, Wendi; Vera, Nawiroh; Harahap, M. Alfansyah; Suratno, Geri; Imelda, Imelda; Christanty, Anastasya Putri; Mulyati, Mulyati
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 4, No 1 (2021): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v4i1.181-190

Abstract

The COVID-19 pandemi has changed the world in all sectors, particularly the health, economy, and education sectors. World Health Organization (WHO) announced the coronavirus outbreak (COVID-19) as a global pandemi. Therefore each country began implementing social distancing policies. The President of Indonesia insists on doing all activities from home: work at home, study at home and worship at home. Budi Luhur University carried out the President's appeal by carrying out work and learning activities from home by prioritizing the health and safety of the entire academic community. It is also a form of value embodiment of responsibility, cooperation, love, mutual help, being patient, and being grateful for the situation during a pandemi. Services are provided in the form of personal protective equipment (PPE) to hospitals around Jakarta to protect doctors and health workers. The services implemented also consist of socializing to the public about social distancing, washing hands regularly, wearing masks, staying at home campaigns, and providing handwashing places for online taxi bike drivers. The strategic steps exerted in the form of dedication to various communities are based on human values and the embodiment of the mental attitude of the philosophical value  "Cerdas Berbudiluhur".
Use of Cosine Similarity, Manhattan Distance, and Jaccard Similarity Methods to Improve the Accuracy of Manual Payment Evidence Validation in ERP Applications Muslim, Muslim; Amira, Sheilla; Usino, Wendi
Jurnal Sistem Cerdas Vol. 8 No. 3 (2025)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i3.594

Abstract

Manual validation of payment receipts in Enterprise Resource Planning (ERP) applications often faces challenges in terms of Accuracy, especially when payment data must be matched with existing transactions. Data mismatches can lead to recording errors and increase the burden of manual verification. This study aims to improve the Accuracy of payment receipt validation by comparing three Similarity methods: Cosine Similarity, Jaccard Similarity, and Manhattan Distance. In this research, Optical Character Recognition (OCR) is utilized to validate scanned images of payment receipts. By using OCR, data from receipt images can be automatically extracted into text format for further processing. The experimental results show that Cosine Similarity delivers the best performance, with a Precision of 100%, Recall of 90%, and Accuracy of 90%. On the other hand, Jaccard Similarity failed to identify any valid data, resulting in 0% across all evaluation metrics. Meanwhile, Manhattan Distance achieved high Precision (100%) but performed poorly in Recall and Accuracy, both at 10%. Based on these findings, Cosine Similarity is recommended as the most effective method for enhancing OCR-based payment validation in ERP systems. This study also opens the opportunity to develop hybrid approaches, combining Cosine Similarity and Manhattan Distance methods to further improve overall system performance.
Co-Authors Amira, Sheilla Ayu Rini Kusumawardhani, Dhiyah Bayyinah, Ayi Christanty, Anastasya Putri Dewi Murtiningsih Elizabeth Yohanes Harahap, M. Alfansyah Lohana Juariyah Mulyati Mulyati Muslim Muslim Nawiroh Vera Pratiangga, Aptanta Qurotulain, Olivia Ramadhan, Tarisya Suratno, Geri Tirkaamiasa, Taufik Umaimah Wahid