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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 410 Documents
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Bibliometric Analysis on Covid-19 Research Publications Dewi, Athanasia Octaviani Puspita
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025 (Publication in Progress)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol15iss3pp324-327

Abstract

The variety of research topics will develop along with the development of science and conditions experienced by society. In the beginning, it was unpredictable that COVID-19 would paralyze many human activities. This also has an impact on science, this epidemic provides a new discourse in conducting research. Due to the emergence of the COVID-19 pandemic, a lot of research has turned its focus on this topic. This study aims to map research that discusses COVID-19 in Indonesia which is indexed by Scopus. The results of this study indicate that many studies in Indonesia discuss online learning that occurred during the COVID-19 pandemic.
Examining the Role of Personal Character in Indonesian Peer-to-Peer Lending Purwanto, Iwan; Isnanto, Rizal; Widodo, Aris Puji
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025 (Publication in Progress)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol15iss3pp297-307

Abstract

This research examines Indonesian P2P lending and bad loan management by analyzing borrower characteristics. The large value of problematic loans is a key signal for this investigation. The Big Five Personality Approach is used to survey P2P lending users. This study solely examines if the Big Five personality traits affect evaluation. On March 5–18, 2023, 17 P2P lending sites gathered data from 197 respondents for two weeks. Data validation continued until 11 respondents were pruned. The remaining 186 respondents' data was evaluated using SPSS. The management process yielded two hypothesis tests, the T-test and the F-test, which showed that the Big Five personality significantly affects present assessment activities. F-Test findings show the Big Five Personalities have a big impact concurrently. These two factors suggest that the Big Five Personalities may evaluate decision support systems for borrower recommendations.
How Stakeholder Pressure and Financial Performance Shape Corporate Sustainability Reporting Transparency Septiani, Aditya; Utami, N U
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025 (Publication in Progress)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol15iss3pp317-323

Abstract

This study examines the impact of stakeholder pressure and financial performance on the transparency of sustainability reporting. We investigate four independent variables: environmentally sensitive industries, investor-oriented industries, consumer-proximity industries, and financial performance. The dependent variable, reporting transparency, is assessed through four factors: reporting frequency, application level, statement level, and assurance. Our sample comprises manufacturing companies listed on the Indonesia Stock Exchange from 2018 to 2021, selected using purposive sampling. We employ multiple linear regression analysis to evaluate the relationships between variables. The findings reveal that both environmentally sensitive industries and strong financial performance positively influence sustainability reporting transparency. However, we found no significant positive impact from investor-oriented or consumer-proximity industries on reporting transparency. This research contributes to our understanding of the factors driving corporate sustainability disclosure practices in the Indonesian context.
Development of a Mikrotik API-Based Leaderboard System for Monitoring ISP User Activity Yutanto, Hariadi; Effendi, Yusuf; Supriyanto, Gaguk
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025 (Publication in Progress)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss3pp300-309

Abstract

The digital transformation has significantly increased the demand for fast, stable, and transparent internet access. The surge in internet users, particularly in the post-COVID-19 era, has made internet services a primary necessity. PT Olean Telematika as an Internet Service Provider (ISP) utilizing Fiber To The Home (FTTH) technology, needs to implement a monitoring system capable of displaying customer activity in real time as a form of service transparency. This study aims to develop and evaluate a leaderboard system based on Mikrotik API that presents bandwidth usage rankings of ISP customers. The system was developed using the Waterfall model and integrated with PHP and MySQL to manage customer upload and download activity dat. Rankings are visually displayed through a web-based interface. This paper evaluated the system using the System Usability Scale (SUS) instrument with 30 active users, resulting in an average score of 75.63, which falls into the “good” category. These results indicate that the system is not only functional but also positively received by users. The leaderboard system is effective in enhancing service transparency and supporting data-driven decision-making by ISPs to improve customer satisfaction.
Investigation of Traffic Characteristics and Arrival Patterns at Pertashop in Suburban Area of Semarang City Lestari, Mutia Ayu; Hermawan, Ferry; Narendra, Alfa
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025 (Publication in Progress)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol15iss3pp267-273

Abstract

Pertashop, developed by PT. Pertamina, is a small-scale gas station business designed to meet the fuel needs of vehicles in suburban areas while maintaining fuel quality. Variations in land use functions can lead to different travel attractions, leading to varied arrival patterns and potential traffic flow disruptions, thus impacting road quality around Pertashop locations. This study seeks to investigate the traffic characteristics and arrival patterns at small-scale gas stations such as Pertashop, providing a basis for development planning and optimizing services in the suburban areas of Semarang City. Using qualitative and quantitative descriptive research methods, the study analyzes the relationship between land use factors and traffic characteristics on Pertashop vehicle service patterns. The findings indicate that the traffic flow around Pertashop follows the Underwood model, demonstrating that vehicles entering Pertashop hinder the traffic flow on surrounding roads.
Enablers dan Barriers to Green Supply Chain Management with TOPSIS and MOORA for Prioritzing Decision-Making Yennylawati, Eng; Mustafid, Mustafid; Rochim, Adian Fatchur
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025 (Publication in Progress)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol15iss3pp239-245

Abstract

Indonesia is the world’s largest coconut producer. As a result, coconuts play an important role in sustaining millions of Indonesians' livelihoods. In 2021, a fear of cooking oil emerged, leading to a decline in production levels, reduced income for individuals, and an increase in commodity pricing both domestically and internationally. The scarcity of cooking oil, notwithstanding Indonesia's position as the leading global producer, indicates an imbalance between supply and demand. This research aims to investigate production problems as the root cause of coconut industry shortages, identify productivity-related issues through a literature review, and assess the urgency of the criteria presented in five Linkert scales. Listing problems is critical for determining the root of the problem, as well as the potential for increasing revenue and ensuring long-term sustainability through value-added initiatives in the green supply chain management (GSCM) scope. This study uses TOPSIS and MOORA analysis, a way of making decisions based on levels of importance and enabler barriers in the coconut industry, focusing on production and productivity.
Analysis of Self-Efficacy and User Satisfaction in Continuance Usage of The Gobis Surabaya Application through PLS-SEM Approach Abdhillah, Sony; Tikno, Tikno
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025 (Publication in Progress)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss3pp%p

Abstract

This study aims to examine the factors influencing the sustained usage of the GoBis e-government application in Surabaya, Indonesia. By investigating constructs such as Information Quality (IQ), Personal Outcome Expectation (POE), Self-Efficacy (SE), Satisfaction (SAT), Service Quality (SQ), Social Influence (SI), and Prior Experience (PE), the research utilizes Structural Equation Modeling - Partial Least Squares (SEM-PLS) to analyze user engagement and behavior. The analysis, based on a sample of 409 respondents, reveals that Information Quality, Personal Outcome Expectation, Self-Efficacy, and Satisfaction significantly impact users' intention to continue using the application. Specifically, Information Quality was identified as a crucial determinant, influencing Continuance Intention, Self-Efficacy, and Satisfaction, highlighting the importance of high-quality information in building user confidence and satisfaction. In contrast, Service Quality and Social Influence were found to have a limited effect on Continuance Intention, suggesting that these factors contribute to user satisfaction but are not primary drivers of long-term engagement. The findings emphasize the need for improving user experiences by enhancing information quality, promoting self-efficacy programs, and providing regular user-centered updates. The study concludes with recommendations for stakeholders to focus on continuous service improvements and regular user feedback evaluations to meet evolving public service standards and foster higher community engagement.
Usability and User Experience Evaluation for Website Design of Higher Education Institutions (2015-2024): Evolutionary Trends and Clusters of Research Maskur, Abdul; Syarief, Achmad
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025 (Publication in Progress)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss3pp321-329

Abstract

Websites have become essential platforms in the Higher Education Institution (HEI) system, enabling flexible access to education and academic information. Therefore, HEI websites' Usability and User Experience (UX) have gained significant scholarly attention. This study aims to identify research trends evaluating usability and UX in HEI website design (2015- 2024) through bibliometric analysis of  publications (n = 124) from Scopus, IEEE Xplore, and ScienceDirect. The scope of the analysis includes publication frequency, keyword networks, citation performance, journals, authors, institutional affiliations, and research clusters. The results showed that usability and UX evaluations are studied across multiple disciplines and are concentrated in five clusters: (1) E-learning website interfaces during the COVID-19 pandemic, (2) Library information systems, (3) Students' continuance intention on learning websites, (4) Marketing communication websites, and (5) Learning management systems. These results underscore that usability and UX evaluation on HEI website platforms leans towards student-centric studies encompassing some sites and service units. This paper also emphasizes the importance of user-centred evaluation throughout HEI websites’ design, development, and post-implementation phases. Given that HEIs must provide optimal services to stakeholders with diverse backgrounds, needs, and information access capabilities.
Event Driven Architecture Approach for Synchronization Real Time NeoFeeder PDDIKTI Sopingi, Sopingi; Sumarlinda, Sri
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025 (Publication in Progress)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss3pp%p

Abstract

Pangkalan Data Pendidikan Tinggi memiliki peran penting sebagai pusat informasi pendidikan tinggi di Indonesia. NeoFeeder hadir sebagai middleware untuk menjembatani perbedaan sistem informasi akademik antar perguruan tinggi dengan database terpusat PDDIKTI. Implementasi NeoFeeder saat ini masih menggunakan sistem batch atau pemicu manual, yang dapat menyebabkan keterlambatan pembaruan data, terutama jika data besar atau ada perubahan mendadak. Untuk mengatasi hal ini, diperlukan arsitektur sistem yang lebih adaptif, scalable, dan responsif terhadap perubahan data. Penelitian ini bertujuan untuk menghasilkan model integrasi berbasis Event-Driven Architecture yang dapat meningkatkan efisiensi sinkronisasi data antara sistem akademik internal dan NeoFeeder PDDIKTI. Penelitian ini menggunakan pendekatan Rapid Application Development. Hasil penelitian menunjukkan bahwa sistem mampu mengirimkan lebih dari 1.000 data per detik dengan latensi rata-rata 4,05 ms dan response time di bawah 40 ms. Kesimpulannya, pendekatan Event Driven Architecture efektif dalam membantu sinkronisasi data akademik ke NeoFeeder secara real time.
Comparison of Sentiment Analysis Models Using Machine Learning Methods for Customer Response Evaluation (Case Study: Bosca Living) Sandiwarno, Sulis
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025 (Publication in Progress)
Publisher : Diponegoro University

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

Abstract

Bosca Living, a star seller on Shopee and Tokopedia, is facing the challenge of customer sentiment analysis. This research evaluates models and methods to strengthen the response to customer feedback. In previous studies, feature extraction techniques such as Term Frequency-Inverse Document Frequency (TF-IDF), Word2Vec, FastText, and Global Vectors for Word Representation (GloVe) have been tested. Machine learning models such as K-Nearest Neighbors (KNN), Random Forest, Support Vector Classifier (SVC), XGBoost, Logistic Regression, and Decision Tree have been employed, but a more in-depth comparison is needed according to Bosca Living's assessment. This research proposes a model comparison through preprocessing, feature extraction, and parameter determination stages using GridSearchCV. Machine learning models like KNN, Random Forest, SVC, XGBoost, Logistic Regression, and Decision Tree are evaluated with StratifiedKFold to reduce the risk of overfitting. The research results provide deep insights, guiding Bosca Living in improving responses to customer feedback. This approach is expected to optimize business strategies, support continuous improvement, and be responsive to market dynamics and evolving customer needs

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