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INDONESIA
JURNAL SISTEM INFORMASI BISNIS
Published by Universitas Diponegoro
ISSN : 20883587     EISSN : 25022377     DOI : -
Core Subject : Economy, Science,
Computer Science & IT Economics, Econometrics & Finance
JSINBIS merupakan jurnal ilmiah dalam bidang Sistem Informasi bisnis fokus pada Business Intelligence. Sistem informasi bisnis didefinisikan sebagai suatu sistem yang mengintegrasikan teknologi informasi, orang dan bisnis. SINBIS membawa fungsi bisnis bersama informasi untuk membangun saluran komunikasi yang efektif dan berguna untuk membuat keputusan yang tepat waktu dan akurat. Business intelligence sebagai dasar pengembangan dan aplikasi SINBIS menjadi kerangka kerja teknologi informasi yang sangat penting untuk membuat agar organisasi dapat mengelola, mengembangkan dan mengkomunikasikan aset dalam bentuk informasi dan pengetahuan. Dengan demikian SINBIS merupakan kerangka dasar dalam pengembangan perekonomian berbasis pengetahuan.
Arjuna Subject : -
Articles 438 Documents
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From Faith to Fintech: The Role of Religiosity within the UTAUT Framework in Shaping Islamic Digital Banking Adoption Ibnu Muttaqin; Umarul Faruq; Agep Rumanto
Jurnal Sistem Informasi Bisnis Vol 16, No 1 (2026): Volume 16 Number 1 Year 2026 (In Press)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol16iss1pp%p

Abstract

The rapid growth of digital banking services has revolutionized the global financial industry. However, the adoption of Islamic digital banking continues to warrant empirical examination, particularly in Muslim-majority countries such as Indonesia. As religious values increasingly influence financial decision-making, it is important to understand the behavioral factors that drive the adoption of Islamic digital banking services. This study aims to examine the determinants of Islamic digital banking adoption in Indonesia by employing the Unified Theory of Acceptance and Use of Technology (UTAUT), extended by incorporating religiosity as both a direct predictor and a moderating variable. A total of 223 respondents who are active users of Islamic digital banking services participated in this study. Data were collected through an online questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that social influence and facilitating conditions significantly affect both behavioral intention and actual usage behavior. Religiosity also plays a direct role in shaping customers’ behavior, but it does not moderate the relationship between behavioral intention and actual usage. In contrast, perceived usefulness and perceived ease of use do not show a significant effect on adoption intention. These findings highlight the importance of leveraging community-based social influence and strengthening digital infrastructure. Islamic banks are therefore encouraged to collaborate with credible influencers, enhance service reliability, and integrate Islamic values into customer education programs in order to promote wider adoption of Islamic digital banking services.
Enhancing Public Service Quality: The Role of Professionalism, Service Delivery, and Mediating Effects of Service Quality on Customer Satisfaction in Government Institutions Muhammad Naufal Rajif
Jurnal Sistem Informasi Bisnis Vol 16, No 1 (2026): Volume 16 Number 1 Year 2026 (In Press)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol16iss1pp%p

Abstract

This study examines the impact of professionalism and service delivery on service quality and customer satisfaction in public administration, with a focus on the Bukittinggi City Samsat Office. The research also explores the mediating role of service quality in these relationships. The study employs Structural Equation Modeling-Partial Least Squares (SEM-PLS) to analyze survey data collected from 100 respondents. The SERVQUAL model serves as the theoretical foundation, with professionalism and service delivery as key predictors of service quality and customer satisfaction. The results indicate that professionalism significantly influences service quality and customer satisfaction. Similarly, service delivery has a strong positive effect on both service quality and customer satisfaction. Moreover, service quality acts as a significant mediator, reinforcing the need for continuous improvements in employee professionalism, structured service processes, and customer engagement. These findings highlight the importance of service quality as a central factor in public service management. Government agencies should focus on digital transformation, workflow optimization, and employee training to improve service delivery. The study also suggests integrating Business Information Systems (BIS) to enhance data-driven decision-making and service performance monitoring. This study contributes to the public service quality literature by examining the interplay between professionalism, service delivery, and customer satisfaction using SEM-PLS. It provides practical recommendations for improving e-Government services and enhancing public trust in government institutions.
Health Tourism Development Strategy through Business Process Modelling Using the APQC Framework Erwin Erwin; Irving Vitra Paputungan
Jurnal Sistem Informasi Bisnis Vol 16, No 1 (2026): Volume 16 Number 1 Year 2026 (In Press)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol16iss1pp%p

Abstract

Introduction - Indonesia has experienced a surge in citizens seeking healthcare services abroad, resulting in a loss of foreign exchange of up to 165 trillion rupiah per year. This situation highlights the need for a competitive domestic health tourism development strategy.Purpose - The objective of this study is to develop a health tourism business process model based on the APQC Process Classification Framework (PCF) to create structured, efficient, and globally competitive services.Design/Methodology/Approach - The study employs a descriptive approach with process mapping using the APQC framework, which spans from strategic to operational levels. Data was obtained from literature reviews and conceptual analysis.Result/Finding - Findings indicate that regions such as Bali, Jakarta, Surabaya, Yogyakarta, Medan, Malang, and Manado possess diverse potential for health tourism development, including medical infrastructure, digital maturity, and unique cultural and natural features. The designed business process model illustrates service selection flows, actor interactions, and sector integration.Originality/Value - This study offers a new approach to health tourism business process modelling using the APQC framework, which has not been widely applied in Indonesia. Its contribution lies in the systematic design that can serve as a reference for the government and private sector.Limitation - This study is still limited to descriptive analysis using secondary data sources. Field validation or stakeholder involvement has not been conducted, so the effectiveness of the model needs further testing.
Front matter JSINBIS_15 (4) 2025 Editorial JSinbis
Jurnal Sistem Informasi Bisnis Vol 15, No 4 (2025): Volume 15 Number 4 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss4pp%p

Abstract

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Back matter JSINBIS_15 (4) 2025 Editorial JSinbis
Jurnal Sistem Informasi Bisnis Vol 15, No 4 (2025): Volume 15 Number 4 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss4pp%p

Abstract

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Time-Based Library Borrowing Patterns: A Predictive Analysis using Random Forest Regression Irma Irawati Ibrahim; Dina Fitria Murad
Jurnal Sistem Informasi Bisnis Vol 16, No 2 (2026): Volume 16 Number 2 Year 2026 (In Press)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol16iss1pp%p

Abstract

Fluctuations in borrowing patterns within university libraries often create operational bottlenecks that diminish service quality for thousands of academic members. This study aims to enhance library resource management by developing an accurate predictive model for transaction volumes based on temporal dynamics. Utilizing the CRISP-DM framework, a Random Forest Regression model was trained on a comprehensive dataset of 52,394 transaction records spanning from 2018 to 2025. The model incorporates key independent variables, including borrowing hours, days, months, and semester examination periods. Experimental results demonstrate robust predictive performance, achieving an R2 score of 0.867, a Mean Absolute Error (MAE) of 10.89, and a Root Mean Square Error (RMSE) of 14.91. Hour of the day was identified as the most significant predictor, contributing 53.1% to the model's accuracy. These findings provide a data-driven foundation for library managers to implement dynamic staffing strategies and effective resource allocation, ensuring operational efficiency and a superior user experience even during peak demand periods.
Descriptive Analytics of Instagram Content from Indonesian Skincare Brands: Integrating Content Analysis and TF-IDF Teguh Prasandy; Sari Ramadanty
Jurnal Sistem Informasi Bisnis Vol 16, No 2 (2026): Volume 16 Number 2 Year 2026 (In Press)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol16iss2pp%p

Abstract

Instagram has become an important channel for skincare brands to communicate with consumers and strengthen brand positioning. However, limited access to structured data, such as APIs and internal platform insights, requires a systematic approach to using public data. This study aims to map dominant keyword themes, identify message strategy characteristics, and describe engagement variation in the Instagram content of three Indonesian skincare brands—Skintific, Azarine, and Somethinc—during June 2023. The study employs a descriptive analytics approach with a mixed-method mini-case design that combines content analysis and TF-IDF-based text mining. The data were collected from screenshots of public Instagram posts, including captions, hashtags, likes, and comments. The findings show that the communication of the three brands centers on skin concerns, product categories, and benefit and ingredient cues, with a predominantly problem–solution framing. Although they share similar general themes, each brand constructs a different communication emphasis: Skintific through scientific narratives, Azarine through light and accessible educational communication, and Somethinc through experiential and participatory activation approaches. In terms of engagement, comments appear to be more sensitive to interactive content and strong calls to action, whereas likes more strongly reflect initial interest in specific content or campaigns. This study contributes to integrating text analytics and content analysis in the examination of social media content based on public data, thereby supporting content strategy evaluation and digital marketing decision-making. The findings are descriptive in nature and are not intended to explain causal relationships.
Data-Driven Marketing Strategies: Applying Apriori Algorithm in Market Basket Analysis for Sales Optimization Laqma Dica Fitrani
Jurnal Sistem Informasi Bisnis Vol 16, No 2 (2026): Volume 16 Number 2 Year 2026 (In Press)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol16iss2pp%p

Abstract

IB Boutique is a retail company dedicated to fulfilling diverse clothing needs through both online and offline sales channels. The company generates substantial transaction data, which, when stored in a database, can be transformed into valuable insights using data mining techniques. However, IB Boutique faces challenges in inventory management, necessitating the need for effective analysis of transaction data to uncover patterns that can contribute to increased revenue. This study employs the Apriori algorithm, a widely recognized method for processing transaction data, to analyze 400 transaction records collected from IB Boutique. The patterns identified are based on support and confidence levels, which are critical metrics in association rule mining. To derive accurate association rules, the study utilizes Tanagra software, setting a minimum support threshold of 30% and a minimum confidence level of 65%. The analysis reveals that blouses and hijabs emerge as the best-selling products within the boutique's inventory. By understanding these best-selling items and the underlying customer buying patterns, IB Boutique can implement more effective marketing strategies aimed at promoting other products. This can be achieved through a comprehensive analysis of the profitability of the best-selling items, leading to the design of targeted marketing campaigns and the strategic arrangement of product layouts to enhance visibility and drive sales.

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