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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 Public Service Delivery Efficiency through AI: Current Initiatives and Future Prospects in Bangladesh Makhdum, Niaz
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.969

Abstract

The integration of Artificial Intelligence (AI) in public service delivery presents a transformative opportunity for Bangladesh, where bureaucratic inefficiencies, resource limitations, and unequal access to services persist as significant challenges. This study investigates the current applications of AI in society, its socio-economic impact, and challenges within major sectors in Bangladesh. Qualitative approaches, such as Key Informant Interviews with AI experts, as well as literature review was conducted to highlight AI innovations such as telehealth platforms, smart agricultural systems, and AI-enabled educational tools that greatly increase efficiency, accessibility, and equity in public services. Findings demonstrate that AI initiatives affected more than 40 million people by paving ways for flood prediction while enabling 2.7 million students for AI-enabled education and saving up to 87.5% costs in helpline servicing. AI-enabled healthcare provides services to over 600,000 pregnant women, while IoT-based farming systems increase profitability and yield for aquaculture. The future shows bright prospects for AI-related applications in predictive healthcare, urban planning, and sustainable agriculture. Some major challenges are infrastructure deficits, data privacy breaches, lack of digital literacy, and unpreparedness of the workforce. Policy frameworks emphasizing ethical AI use, scaling capacity building, and bridging the digital divide would lead to citizen-centered governance.
Rule-Based Transliteration of Ulu Kaganga Script using Character Mapping Yadi, Ilman Zuhri; Kunang, Yesi Novaria; Sari, Tia Permata; Mahmud, Mahmud; Ramadhona, Nuzulur
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.1000

Abstract

Ulu Kaganga script is a historical writing tradition that developed in the southern region of Sumatra. With the widespread use of Latin script, the Ulu Kaganga script has become rare, and very few people can read and write in this script. To preserve the Ulu script, a tool is needed to assist in transliterating Latin text into the Ulu script. This research aims to preserve the Ulu script with the help of technology. In this study, a mobile and web-based application has been developed to transliterate the Ulu Kaganga script from Latin text. The technique used for this script conversion is rule-based, which is employed to break words into syllables and map those syllables into Ulu script characters. Through the rule-based technique and character mapping, adding Indonesian syllables and writing Ulu Kaganga script characters, consisting of 1139 primary characters, becomes easy. This application has been repeatedly tested to improve the mapping of Ulu script characters. The results of testing the application to transliterate 1746 words from Latin script were successful in transliterating. The tests conducted show that the approach used is very effective, with a transliteration accuracy from Latin to Ulu script of 99.98% The testing results show that the application can transcribe text accurately and conveniently, allowing non-expert users to write in Ulu script characters.
Forensic Investigation of Drug and Food Crimes in Digital Marketplace Meutia, Adinda; Luthfi, Ahmad
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.v7i1.882

Abstract

This research holds great significance as it is anticipated to safeguard customers from harmful frug and food products in cyberspace and to enforce the law by offering solid evidence to bring criminals to justice. Furthermore, this research helps to better understand how crimes that take place in the marketplace are committed, which enables the implementation of more effective preventive measures. Besides, in order to combat cybercrime, the findings of this study may serve as the foundation for the creation of more effective digital forensic investigation techniques. In order to perform digital forensic investigations of drug and food offenses using the marketplace, this study aims to develop an efficient and successful model or implementation guideline. This seeks to methodically direct the inquiry process while adhering to relevant norms. The objective of this research endeavor is to provide a model or practical guideline that is both effective and efficient for using the marketplace to undertake digital forensic investigations of drug and food crimes. This seeks to methodically direct the research process while adhering to relevant criteria. The following stages make up the Design Science Research (DSR) method of research: The issue in this project is "How to conduct a digital forensic investigation for Drug and Food crimes using the marketplace so that it can be used as evidence in court?" Then, in order to adopt answers from related research and make adjustments linked to research difficulties, a literature review is conducted to locate prior research. A model or implementation guideline for performing digital forensic investigations of the marketplace is the type of solution or artifact anticipated in this project. The next phase is solution design, which involves using an existing forensic investigation framework to create an artifact design. Following every step of the framework, case study experiments are then conducted to test the artifact design. The examination of the artifact design by both experts and consumers is the last phase.
Strategic Framework for Cybersecurity Policy Compliance in Namibian Organizations Waiganjo, Iyaloo; Osakwe, Jude Odiakaosa; Azeta, Ambrose
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.v7i1.927

Abstract

The Internet and its transformative technologies have become essential to both emerging and established businesses. While organisations benefit from connectivity, they are also increasingly vulnerable to cyber-attacks, underscoring the need for robust monitoring systems and comprehensive cybersecurity policies. In Namibia, many organisations have cybersecurity policies, yet employees are often unaware of existence of such policies. This study aimed to examine the complexities of cybersecurity policies within Namibian organisations and provide a tailored roadmap for developing, implementing, and ensuring compliance with these policies to suit the unique landscape of Namibian businesses. Using a qualitative approach guided by design science research, data was collected from 21 participants, including Information Technology (IT) and security managers as well as employees from five organisations across various sectors in the country. The findings indicated that Namibian organisations are commitment to cybersecurity through comprehensive policies aligned with international standards. However, organisations face impediments that underscore the need for targeted strategies to overcome barriers to policy enforcement. From these finding a framework was designed with strategies and action plans and evaluated by industry experts. The CSPIC framework was considered Good (rating 2) in most areas by the experts. Gaps in existing frameworks such as usability, adoptability, and budget prioritization were addressed by the proposed CSPIC framework. The Cybersecurity Policy Implementation and Compliance (CSPIC) framework's uniqueness lies in its local adaptability, actionable strategies, and emphasis on leadership and employee engagement.
Heap Optimization in A* Pathfinding for Horror Games Putra, Risaldi Angga Buana; Prihatmanto, Ary Setijadi; Yusuf, Rahadian; Sukoco, Agus
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.v7i1.941

Abstract

This paper examines the implementation of the A* pathfinding algorithm with binary heap optimization in a horror game environment. The horror genre in gaming uniquely engages players by placing them at the center of fear-driven experiences, where intelligent and unpredictable enemy behavior is critical for immersion. To achieve this, adaptive AI—specifically for apparitions or monsters—is controlled using A*, an algorithm renowned for its efficiency in determining the shortest path. Heap optimization is introduced to enhance A* performance by reducing the time required to identify the lowest-cost node in the Open List. Experimental results from a Unity-based prototype demonstrate that the optimized A* achieves an average pathfinding time of 1.6 ms, compared to 3.16 ms without optimization—representing a 49.37% improvement. This speed increase allows for faster and more responsive enemy behavior, resulting in heightened difficulty and more dynamic, fear-inducing gameplay. The findings highlight the potential of algorithmic optimization to significantly enhance both technical performance and player immersion in horror game design.
Expert System for The Diagnosis of Depression in Students Using Certainty Factor Method: A Case Study of Ngudi Waluyo University Purnamasari, Yessy Sabilla; Mujiyono, Sri; Ismiriyam, Fiktina Vifri
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.v7i1.950

Abstract

Depression is a growing mental health concern among university students, often fueled by academic pressure, social demands, and personal stress. This study presents the development of an expert system using the Certainty Factor (CF) method to diagnose depression specifically among students at Ngudi Waluyo University. The system categorizes depression into mild, moderate, and severe levels based on 12 validated symptom statements and expert-defined diagnostic rules. Implemented with PHP, JavaScript, and CSS, the system offers a user-friendly, accessible, and anonymous platform for self-assessment. Testing yielded an accuracy rate of up to 79% in diagnosing depression severity and a 71.7% user satisfaction rate based on a User Acceptance Test (UAT) involving 32 students. Results demonstrate that the system can effectively support early detection and mental health awareness within academic environments. Despite some limitations in UI and feedback depth, the expert system shows strong potential for broader application and further enhancement.
Exploring Internet Radio’s Impact on Dispersed Communities in Ghana Braye, Alexander; Kroeze, Jan; Mujinga, Mathias
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.v7i1.951

Abstract

Due to the constant challenges that migrants face in their host country, which sometimes lead to alienation, they strive to find solace in internet radio connecting them to happenings in their home countries as well as the world. Satisfaction with information systems (IS) has long been a topic of research in the discipline. It has primarily been employed as a stand-in for IS success. Researchers have utilized DeLone and McLean’s 2003 extensive model of factors to evaluate IS performance and the interrelationships between the variables. According to their approach, the success of IS is largely dependent on user pleasure. They also suggested that the main antecedents of user happiness are system, information, and service success. Drawing clues from the major components of Delone and McClean’s IS success model, the article explores factors that influence the use of internet radio as an information system. The literature review reveals some attribute levels (accessibility, empathy, trustworthiness, etc.) that are confirmed and amended by the empirical study. The study uses a qualitative approach using interviews to collect data that examines the impact of internet radio on people living in dispersed communities. The results prompt key attributes of IS success, which are used to chart the impact of internet radio. The findings reveal that service success attributes (accessibility, empathy, etc.), data success (understandability and relevancy, etc.), and technology success attributes (availability, ease of use, etc.) impact the use of internet radio. Using the attributes identified in the literature review, as confirmed by the empirical study, as well as three additional constructs that emerged during the semi-structured interviews, a framework is developed to determine the impact of internet radio on dispersed communities. The research presents a novel comprehension of the impact of internet radio by applying and extending multi-attributes from the Delone and McClean IS success model.
Evaluation of ICT Migration Plans in a Select Number of Companies in South Africa Elegbeleye, Femi Abiodun; Elegbeleye, Ife Fortunate; Oguntona, Olusegun
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.v7i1.954

Abstract

The rapid evolution of the Information and Communication Technology (ICT) industry has made ICT migration a critical component for companies seeking to enhance productivity, efficiency, and competitiveness. However, migration often presents challenges, including high costs, system compatibility issues, cybersecurity risks, and employee resistance to change. This study evaluates the ICT migration plans of selected companies in South Africa, examining their strategies, challenges, and overall effectiveness. Using a mixed-methods approach, the research integrates qualitative and quantitative data collected through interviews, surveys, and document analysis. Companies are selected through purposive sampling to ensure diversity in industry, size, and ICT readiness. The study focuses on analyzing existing ICT infrastructure, identifying migration obstacles, assessing the success of implemented plans, and providing recommendations for improvement. Key assessment areas include cost-effectiveness, system scalability, cybersecurity measures, employee training, and post-migration performance. The findings of this study will contribute to the existing literature on ICT migration while offering practical insights for businesses aiming to implement or refine their migration strategies. Additionally, it will provide valuable recommendations for industries and IT professionals, facilitating smoother and more efficient ICT transitions in South Africa.
Prioritizing Higher Education Facilities Using TOPSIS Based on Student Preferences Sari, Mutiara Novita; Adya, Rahel Saffana; Aini, Qurrotul
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.v7i1.957

Abstract

This research aims to prioritize campus facilities for development based on student preferences using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. Recognizing the critical role of facilities in enhancing student success and retention, this study evaluates key criteria such as needs, comfort, current conditions, accessibility, and frequency of use. Data were collected through a random sampling survey involving 98 active students, determined using Slovin's formula with a 10% margin of error. The analysis identifies WiFi as the top priority for improvement, followed by toilets and lifts. This research highlights how TOPSIS has been applied effectively in decision-making processes within education and facility management, offering a structured approach for optimizing resource allocation.
Hybrid Unsupervised Machine Learning for Insurance Fraud Detection: PCA-XGBoost-LOF and Isolation Forest Chapwanya, Natsai; Gorejena, Karikoga Norman
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.v7i1.958

Abstract

Insurance fraud poses a significant threat to the financial stability of insurance companies, resulting in substantial economic losses. To combat this issue, this study proposes a novel unsupervised machine learning hybrid algorithm, integrating Principal Component Analysis (PCA), Extreme Gradient Boosting (XGBoost), Local Outlier Factor (LOF), and Isolation Forest. This hybrid approach aims to improve the detection accuracy of insurance fraud by combining the strengths of each individual algorithm. Experimental results a real-world insurance dataset demonstrate a detection accuracy of 92%, precision of 92% and recall of 96%. Our experimental results demonstrate that the proposed hybrid algorithm outperforms existing state-of-the-art methods, achieving a higher detection rate and reducing false positives. This research contributes to the development of effective insurance fraud detection systems, ultimately helping insurance companies to minimize financial losses and improve their overall profitability.

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