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INDONESIA
Journal of Information Systems and Informatics
Published by Asosiasi Doktor Sistem Informasi Indonesia
ISSN : 26565935     EISSN : 26564882     DOI : 10.63158/journalisi
Core Subject : Science,
Computer Science & IT
Journal-ISI is a scientific article journal that is the result of ideas, great and original thoughts about the latest research and technological developments covering the fields of information systems, information technology, informatics engineering, and computer science, and industrial engineering which is summarized in one publisher. Journal-ISI became one of the means for researchers to publish their great works published two times in one year, namely in March and September with e-ISSN: 2656-4882 and p-ISSN: 2656-5935.
Arjuna Subject : -
Articles 653 Documents
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Enhancing IT Service Desk for Hybrid Work: Insight from a TOE and TTF Case Study Marcel, Marcel; Aotearoa, Garpepi Hanief
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.971

Abstract

Adopting hybrid work has brought new challenges of IT service desks in small companies with limited resources. This study focuses on a software company in Jakarta with 15 employees, exploring how its size influences the ability to resolve issues, manage tickets, and keep both remote and on-site staff satisfied. Utilizing the Technology-Organization-Environment (TOE) Framework and the Task-Technology Fit (TTF) Model, we investigated ticket records, surveyed 13 employees, and conducted group discussions for deeper analysis. On average, the initial response time was 3.5 hours, but remote staff often faced slower resolutions, averaging 3.8 hours compared to 3.2 hours for on-site employees. The most common problems were connectivity issues, which made up 40 percent of tickets, and login and access challenges, which made up 30 percent. Feedback from a Survey indicated moderate satisfaction with most ratings between 3 and 4 on a 1–5 scale, with gaps in communication and guidance, particularly for remote workers being identified. We suggest refined troubleshooting, enhanced communications, and simplified tracking methods for monitoring issues (real time) to overcome these challenges. These improvements may allow small businesses to make the most of IT support, minimize recurring issues and better accommodate hybrid workplace needs.
COBIT 2019 for Enhanced ICT Governance: A Case Study at a Higher Education Institution Fitriyani, Baiq Yulia; Muhammad, Alva Hendi
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.972

Abstract

Effective ICT governance is essential for aligning technological resources with institutional objectives, especially in higher education institutions with limited resources. This study evaluates the ICT governance framework at PUSTIK STMIK Lombok using COBIT 2019, focusing on six domains: APO04, APO10, BAI02, DSS01, DSS05, and EDM01. A structured survey was conducted with 189 respondents, including faculty, students, and administrative staff, to assess capability maturity levels and identify governance gaps. The results indicate that all domains achieved Level 3 (Established), reflecting standardized processes but highlighting deficiencies in security resilience, vendor management, and operational change management. A SWOT analysis identified weaknesses such as limited proactive security measures, insufficient stakeholder engagement, and inadequate staff training, while opportunities include government funding and emerging technologies. To address these challenges, a tailored governance framework was developed, incorporating policies, standards, and procedures to enhance security, innovation management, and vendor accountability. The findings underscore the applicability of COBIT 2019 in resource-constrained educational settings and provide practical recommendations to bridge governance gaps. Future research should examine the long-term effects of governance improvements and explore the framework’s scalability across similar institutions.
Predicting Student Loyalty in Higher Education Using Machine Learning: A Random Forest Approach Widayati, Qoriani; Adi, Kusworo; Isnanto, R Rizal; Agustini, Eka Puji; Julianto, Dewa Rizki Rahmat; Prakasa, Fawwaz Bimo
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.977

Abstract

Student loyalty is a crucial factor supporting the sustainability of higher education institutions. The aim of this study is to predict student loyalty using a machine learning approach, specifically the random forest algorithm. The data for this research were collected through a questionnaire that included variables such as service quality, emotional attachment, brand satisfaction, brand trust, and socio-economic conditions, distributed to 107 students in Palembang. The resulting dataset was processed through preprocessing, model training, and performance evaluation, employing metrics such as accuracy, precision, recall, and F1-score. The analysis using the random forest algorithm achieved an accuracy of 90.9%. These findings are expected to provide valuable insights for higher education institutions in developing more effective strategies to enhance student loyalty.
Enterprise Architecture Model for Smart Government Implementation Lestari, Merryana; Wijaya, Agustinus Fritz; Chandra, Michelle Mei Diana
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.978

Abstract

This research aims to develop an enterprise architecture (EA) model to support the implementation of Smart Government that utilizes information and communication technology (ICT) to enhance efficiency, transparency, and public participation in governmental processes. The development of this EA model adopts a holistic approach, integrating various components of technology, organization, and business processes within the context of government to provide guidance for government agencies in planning, implementing, and managing the digital transformation required to achieve Smart Government. The findings of this study indicate that the proposed enterprise architecture model offers a clear and flexible structure to support the integration of government agencies, public service providers, and citizens. It is expected that by utilizing this EA model, governments can improve public services, operational efficiency, and create a more transparent and accountable environment. By leveraging this EA model, government agencies can streamline processes, enhance decision-making through data-driven insights, and foster greater inter-agency collaboration. It is expected that this model will improve public sector services by increasing accessibility, reducing administrative burdens, and optimizing resource utilization. Furthermore, the adoption of this model is anticipated to accelerate the digital transformation of the public sector, driving significant improvements in government service delivery, responsiveness, and citizen engagement.
Enhancing Hazard Detection and Risk Severity Assessment in Construction through Multinomial Naive Bayes and Regression Akwaisua, Akaninyene Michael; Ekong, Anietie; Ansa, Godwin
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.979

Abstract

This research delves into the crucial area of hazard detection and risk severity assessment within the construction industry, using machine learning techniques. The dataset utilized is from the Chinese Construction Company (CCECC), Uyo, Nigeria. Comprising over 100,000 instances, it captures various hazard categories prevalent in construction sites, providing a comprehensive foundation for predictive analysis. In the first phase of the study, the system is designed to detect hazards present in construction sites. Leveraging these data, the machine learning models are trained to predict potential hazards based on the information provided. Through TF-IDF vectorization, a feature extraction technique, the textual data is transformed into numerical representations. Multinomial Naive Bayes is employed for hazard classification due to its efficacy in handling text data, and with it, an accuracy of 0.99 was obtained. Subsequently, the trained model was evaluated to assess its performance and the severity of identified hazards are evaluated. The system quantifies the potential risk posed by each hazard using the risk severity attribute. Using the Linear Regression algorithm, the model predicts the severity of risks based on textual descriptions of a hazard. In practical application, the research stresses the significance of risk management strategies in the construction industry to mitigate potential harm to personnel and infrastructure. This research contributes to advancing safety protocols within the construction sector, advocating for a culture of vigilance and precaution to address risks effectively.
Digitalization of Tobacco Taxation in Bangladesh: Reducing Evasion and Enhancing Public Health Shah, AMM Mubassher
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.988

Abstract

This study investigates the worldwide practice of digital tax systems to develop a digital taxation model for Bangladesh and identifies the prospects and challenges of implementing this model to address tax evasion. This study applies a qualitative approach to research. 30 in-depth interviews (IDI) with retailers of tobacco products and 10 key informant interviews (KII) with National Board of Revenue (NBR) officials, Tobacco control activists, and tax experts have been conducted using semi-structured interview guidelines. Secondary data has been collected from various reports, and journal articles. Data has been analyzed using the thematic analysis technique. The potential benefits of implementing a digitalized tax system encompass minimization of tax evasion, better monitoring, tracking, and tracing systems, transparent tax administration, and developing an efficient tax collection system. Despite the many advantages of digital tax systems, several challenges must be addressed. These include administrative resistance due to a lack of skilled manpower and modern infrastructure and the difficulties associated with registering tobacco companies and farmers. The implementation of proposed digital taxation model is expected to control tobacco tax evasion which ultimately increases prices and contributes to the overall goal of reducing tobacco consumption and enhance public health in Bangladesh.
Usability of Mobile Learning Technologies in Open and Distance Learning Rafifing, Neo; Mosinki, Joyce; Mabina, Alton; Otlhomile, Boitshoko E; Mphole, Ofaletse
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.989

Abstract

Mobile learning (m-learning) utilizes portable devices like smartphones and tablets for educational purposes and is gaining popularity, particularly in open and distance learning (ODL) contexts. This study explores the usability of mobile learning technologies among undergraduate students in ODL. An online survey questionnaire was administered to undergraduates enrolled in a Business course in Botswana and a usability conceptual model was developed. The findings revealed that predominant opportunities of using mobile learning technologies in ODL include improved student interaction and flexible learning schedules. Likewise, challenges embraced limited battery life, small screens, distractions from phone calls and notifications, and the high cost of internet bundles. To enhance adoption of mobile learning, the study recommends investments in infrastructure and internet connectivity. Furthermore, it suggests reducing internet costs through initiatives like government subsidies or partnerships with Telecom providers. Additionally, the study highlights the importance of training ODL educators and students in effective mobile learning technology utilization.
Improving Dolan Banyumas App: A Design Thinking Approach to Enhance Tourism Services Indriyani, Ria; Saputro, Rujianto Eko
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.991

Abstract

The Dolan Banyumas application is a digital step to support tourism in Banyumas Regency. However, the results of observations and evaluations conducted show that the design of the user interface (UI) and user experience (UX) of this application is still less than optimal, with incomplete information, confusing navigation, and unattractive application design. This study aims to redesign the application using the Design Thinking approach, which consists of five stages: empathize, define, ideate, prototype, and test stages. Usability was assessed using the System Usability Scale (SUS) with a 10-question Likert scale survey distributed to 30 respondents. Evaluation results using the System Usability Scale (SUS) method showed an increase in the average score from 63 to 81.42, which classifies the app into the “Good” and “Acceptable” categories. Improvements include easier-to-use navigation, more complete tourist information, and the addition of new features such as ticket booking and bus tour maps. The user satisfaction rate increased from 60% to 87%, while efficiency rose by 30%. Based on Net Promoter Score (NPS), the app is categorized as “Promoter.” The Design Thinking approach proved effective in improving the quality of user experience.
Real-Time Sign Language Recognition and Translation in Humanoid Robots Using Transformer-Based Model with a Knowledge Graph Busuulwa, Erick; Juang, Li-Hong
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.992

Abstract

For millions of deaf-mute individuals, sign language is the only means of communication; this creates barriers in daily interactions with non-signers, leading to the exclusion of these individuals in many areas of daily life. To address this, we propose a real-time sign language translation system using a Transformer model enhanced with a knowledge graph, designed for Human-Robot Interaction (HRI) with NAO robots. Our system bridges the communication gap by translating gestures into natural language (text). We used the RWTH-PHOENIX-Weather 2014T dataset for initial training, achieving a BLEU score of 29.1 and a Word Error Rate (WER) of 18.2% surpassing the baseline model. Due to the domain shift between human gestures and NAO robot gestures, we created a NAO-specific dataset and fine-tuned the model using transfer learning to accommodate an adapted environment and kinematic constraints that do not match the environment in which the robot was deployed. This reduced the WER to 17.6% and increased the BLEU score to 29.9. We tested our model’s capability with dynamic and practical HRI scenarios through comparative experiments in Webots. Integrating a knowledge graph into our model improved contextual disambiguation, significantly enhancing translation accuracy for gestures that weren't clear. Through effectively translating gestures into natural language, our system demonstrates strong potential for practical robotic applications that promote social accessibility.
Enhancing Web Performance for E-learning Platform using Content Delivery Network (CDN) and Varnish Cache Utomo, Muhammad Nur Yasir; Tungadi, Eddy; Khartika, Widya
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.993

Abstract

Along with the development of technology, the web has become a very popular platform for providing information services and digital content, especially in education sector. The popularity of web services such as e-learning is directly proportional to the increasing number of users. The increase in the number of users is often a problem because it can lead to decreased web performance and potential downtime. To overcome this problem, this study proposes Content Delivery Network (CDN) and Varnish Cache as solutions. Web performance evaluation was carried out in a campus internal network using Apache JMeter with a load of 1,000 users. Based on the evaluation, there was a 175.5% increase in throughput, from 51.9 to 142.9 requests per second. In terms of response time, it improved by 54.3%, decreasing from 16,476 ms to 7,526 ms. Additionally, latency was reduced by 82.4%, from 3,555.8 ms to 624.8 ms. The error rate also decreased from 31.4% to 17.2%. These results indicate that CDN implementation can effectively improve web server performance and provide an optimal user experience, especially under high load conditions.

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