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The IJICS (International Journal of Informatics and Computer Science)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 25488449     EISSN : 25488384     DOI : https://doi.org/10.30865/ijics
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
The The IJICS (International Journal of Informatics and Computer Science) covers the whole spectrum of intelligent informatics, which includes, but is not limited to : • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Autonomous Agents and Multi-Agent Systems • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer Interfacing • Business Intelligence • Chaos theory and intelligent control systems • Clustering and Data Analysis • Complex Systems and Applications • Computational Intelligence and Soft Computing • Cognitive systems • Distributed Intelligent Systems • Database Management and Information Retrieval • Evolutionary computation and DNA/cellular/molecular computing • Expert Systems • Fault detection, fault analysis and diagnostics • Fusion of Neural Networks and Fuzzy Systems • Green and Renewable Energy Systems • Human Interface, Human-Computer Interaction, Human Information Processing • Hybrid and Distributed Algorithms • High Performance Computing • Information storage, security, integrity, privacy and trust • Image and Speech Signal Processing • Knowledge Based Systems, Knowledge Networks • Knowledge discovery and ontology engineering • Machine Learning, Reinforcement Learning • Memetic Computing • Multimedia and Applications • Networked Control Systems • Neural Networks and Applications • Natural Language Processing • Optimization and Decision Making • Pattern Classification, Recognition, speech recognition and synthesis • Robotic Intelligence • Rough sets and granular computing • Robustness Analysis • Self-Organizing Systems • Social Intelligence • Soft computing in P2P, Grid, Cloud and Internet Computing Technologies • Stochastic systems • Support Vector Machines • Ubiquitous, grid and high performance computing • Virtual Reality in Engineering Applications • Web and mobile Intelligence, and Big Data
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 153 Documents
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Implementation of a Decision Support System in Determining Scholarship Recipients Using the MOORA Method at STMIK Mulia Darma Chandra Frenki Sianturi
The IJICS (International Journal of Informatics and Computer Science) Vol. 9 No. 2 (2025): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v9i2.8920

Abstract

The scholarship recipient selection process often faces challenges such as subjectivity, time constraints, and a lack of transparency in decision-making. To address these issues, this study developed a web-based decision support system that implements the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method. This system is designed to assist scholarship administrators in determining recipients objectively and efficiently by considering several criteria, namely GPA, parental income, number of dependents, and non-academic achievements. The research was conducted using a quantitative approach that included the stages of problem identification, data collection, criterion weight determination, data normalization, calculation of Yi preference values, and alternative ranking. The results of the system implementation indicate that the MOORA method can provide accurate rankings based on the combination of criterion weights and the value of each alternative. This system not only accelerates the selection process but also enhances transparency and accountability in decision-making. In conclusion, the application of the MOORA method in the scholarship decision support system contributes significantly to a fair, structured, and accountable selection process.
Harmonization of Population Data Between BPS and Palembang City Disdukcapil Using an Agile-Based Dashboard Inayah Utami; Muhammad Nasir
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 1 (2026): Maret
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i1.9421

Abstract

 Population data play a strategic role in supporting regional development planning and evaluation, particularly in urban areas with high population density such as Palembang City. However, discrepancies between population data produced by the Central Statistics Agency (BPS) and the Population and Civil Registration Office (Disdukcapil), resulting from differences in de facto and de jure recording concepts, pose challenges for comprehensive population analysis and policy formulation. This study focuses on the harmonization and integration of population data from BPS and Disdukcapil into a unified analytical platform. A dashboard-based system developed using the Agile method is employed as a supporting tool to facilitate population data analysis and support data-driven decision-making in Palembang City. Population data were obtained from official BPS publications and Disdukcapil administrative records, supported by observations, interviews, and questionnaires. The results show that all system functionalities operated successfully based on black-box testing, achieving a 100% success rate across all test scenarios. The main contribution of this research lies in the harmonization of de facto and de jure population data, which improves data consistency and supports more effective population analysis for regional development planning.
Web-Based Automated Assessment for School Examinations Jepri Yandi; Yuntari Purbasari
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 1 (2026): Maret
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i1.9560

Abstract

An Assessment is a fundamental component of the educational process, particularly in school examinations, as it reflects students’ academic achievement. However, traditional examination and assessment methods often face challenges such as inefficiency, high administrative workload, and the potential for human error. This study aims to develop a web-based automated online assessment system to support ICT-based school examinations. The system is designed to facilitate online examinations, perform automatic scoring for objective test items, and generate assessment reports in real time. The development process follows a systematic software development approach, including requirement analysis, system design, implementation, and system testing. Functional testing results show that the system operates correctly and provides accurate assessment results. The implementation of the proposed system enhances efficiency, accuracy, and transparency in the examination and assessment process. Therefore, this web-based automated assessment system can be utilized as an effective ICT solution to improve the management and evaluation of school examinations.
Development Web-Based Patient Registration and Queue Management System Using RAD Method with QR Code Verification Samuel Imanuel Hizkia Saraun; Eliasta Ketaren
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 1 (2026): Maret
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i1.9665

Abstract

The smoothness of healthcare services, particularly in the registration and queuing processes, is a key factor influencing patient satisfaction. The Bunda Meifa Foundation Clinic, located in Tondano, faces challenges in patient management due to its manual registration process and dynamic doctor schedules. This research aims to design and build a web-based information system that not only provides a user-friendly self-registration interface for patients but also integrates QR Code verification to expedite the check-in process, reduce waiting times, and ease the workload for staff. The system development method used is Rapid Application Development (RAD), which emphasizes a rapid and adaptive development cycle. The developed system offers modern features such as self-service online registration according to available doctor schedules, the creation of a Digital Card with a unique QR Code as proof of appointment, and an innovative "scan-to-queue" system where queue numbers are assigned upon QR Code scanning at the clinic. For administrators, the system includes a protected dashboard to flexibly manage practice schedules, monitor the queue in real-time, and print queue receipts via a thermal printer. System testing was performed using the Black Box Testing method, and the results indicate that all developed features function as designed. With this system, the registration and queuing processes at the Bunda Meifa Foundation Clinic are expected to become more organized, fair, and structured, ultimately enhancing the overall quality of service.
Analysis of E-Commerce Consumer Purchasing Patterns Using the Naïve Bayes Algorithm Khairunnisa Khairunnisa; Muhammad Iqbal
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 1 (2026): Maret
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i1.9531

Abstract

The rapid growth of e-commerce has generated a large volume of transactional data; however, its utilization is often limited to sales reports. In fact, transaction data holds significant strategic potential to be analyzed in order to understand customer purchasing patterns. This study aims to analyze consumer purchasing behavior in e-commerce by applying the Naïve Bayes algorithm as a probabilistic classification method. The dataset used in this research consists of 30 transaction records, including attributes such as purchase frequency, transaction value, product type, payment method, and promotion, with the purchasing decision (buy or not buy) as the class attribute. The research stages include calculating prior probabilities and conditional probabilities for each attribute with respect to the purchasing decision classes. The results indicate that the majority of transactions belong to the buy class with a probability of 0.63, while the not-buy class has a probability of 0.37. Purchase frequency and transaction value are identified as the most influential factors, where medium to high purchase frequency and medium to large transaction values show a strong tendency toward buying decisions. Furthermore, electronic products and non-cash payment methods, particularly e-wallets and credit cards, exhibit high probabilities associated with purchase decisions. Promotions also contribute positively to encouraging purchases, although they are not the sole determining factor. Overall, this study demonstrates that the Naïve Bayes algorithm is effective in identifying customer purchasing patterns and can support strategic decision-making in e-commerce businesses.
Explainable Hybrid Decision Support for Digital Transformation Strategy Selection in Creative MSMEs Nurmala Sridewi; Budi Yanto
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 1 (2026): Maret
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Creative micro, small, and medium enterprises (MSMEs) require digital transformation strategies that fit their heterogeneous capabilities, yet many assistance programs still provide generic recommendations. This paper proposes and tests an explainable hybrid decision support approach for selecting digital transformation strategies in creative MSMEs. The method combines subjective weights obtained from expert-oriented fuzzy multi-criteria reasoning, objective weights computed by CRITIC, MARCOS-based strategy ranking, and machine learning classification for adaptive readiness prediction. A controlled synthetic dataset of 120 MSMEs with eleven digital-readiness criteria was generated to demonstrate the complete computational procedure without claiming field-level impact. The hybrid weighting produced dominant priorities for digital content capability, digital literacy, social media use, marketplace adoption, and technology readiness. MARCOS ranking indicated that digital branding, content marketing, and creative community collaboration were the highest priority strategies. Machine learning evaluation using a 75:25 train-test split showed that the best classifier achieved an accuracy of 0.97 and a macro F1-score of 0.96. Permutation-based explainability identified digital literacy, digital content capability, and marketplace adoption as influential predictors. The results demonstrate that the proposed approach can produce transparent and auditable recommendations for MSME digitalization research. Keywords: Decision Support System; Digital Transformation; Explainable AI; Fuzzy MCDM; MSME
Development and Evaluation of Cloud-Based Virtual Coding Laboratory for SQL Assessment in Database Learning Firman Santosa; Adyanata Lubis; Detri Amelia Chandra
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 1 (2026): Maret
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study develops and evaluates a cloud-based Virtual Coding Laboratory to support database learning and SQL practicum activities. The system was designed to address common practicum constraints, including dependency on physical computer laboratories, local database installation, heterogeneous device configurations, delayed assessment, and limited learning activity records. A research and development approach was applied using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation. The product integrates authentication, class management, learning materials, SQL exercises, an online query editor, execution workspace, automatic SQL assessment, feedback, scores, reset database functionality, and submission history. The system was developed using PHP with a separated practice database workspace to isolate student queries from the main application database. Evaluation involved black-box functional testing, expert validation, and practicality testing with two lecturers and 30 students. The functional testing result reached 100%, indicating that all main features worked as expected. Expert validation achieved an overall feasibility score of 90.00%, categorized as very feasible, while practicality testing achieved 87.90%, categorized as very practical. These findings indicate that the proposed Virtual Coding Laboratory is suitable as an integrated, flexible, and browser-based practicum environment for database learning.
The Impact of Dominant Color in the Shopee Application's User Interface Design on User Focus Levels Fathimah Fadiyah Salimah; Septi Mulia Putri; Badia Inaya Sazrade; Fathoni
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 2 (2026): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i2.9686

Abstract

The design of mobile application interfaces plays a crucial role in shaping user experience, where color influences not only aesthetics but also user cognition and focus. This study aims to analyze the effect of the dominant orange color in the Shopee application interface on user focus levels. A quantitative correlational approach was employed, involving 32 respondents who completed a Likert-scale questionnaire, with data analyzed using SPSS. The results show a strong and statistically significant correlation between color perception and user focus (r = 0.681; p < 0.05), indicating that better evaluation of the dominant color is associated with higher focus levels. Furthermore, the coefficient of determination (R² = 0.464) reveals that nearly half of the variation in user focus is explained by color alone. These findings confirm that the dominant orange color enhances attention, supports sustained concentration, and improves navigation efficiency. This study highlights color as a key functional factor in optimizing user focus in mobile commerce applications.
A Generative AI-Driven Approach to Integrating the SECI Model for Knowledge-Based Systems Frans Nicko Apriansyah; Badia Inaya Sazrade; Cahyo Adi Nugraha; Tri Mutiara Illahi; Ken Ditha Tania; Zaqqi Yamani A
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 2 (2026): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i2.9717

Abstract

This study examines the potential role of Generative Artificial Intelligence (Gen-AI) in extending the Socialization, Externalization, Combination, and Internalization (SECI) model within knowledge management. Using a Systematic Literature Review (SLR) of studies published between 2024 and 2026, it maps the functions of technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Logic Augmented Generation (LAG) into Nonaka and Takeuchi’s knowledge spiral. The findings indicate that Gen-AI can support knowledge processes such as retrieval, interpretation, structuring, and integration, which may contribute to more continuous and digitally mediated knowledge flows. Some reviewed studies report improvements in handling tacit and explicit knowledge; for example, a simulation-based study reports a tacit knowledge recall rate of up to 94.9%, although this result is derived from a specific experimental context and should not be generalized. The review also identifies challenges, including AI-generated inaccuracies, overreliance on automated systems, and data security concerns, highlighting the continued importance of human oversight. This study contributes a conceptual mapping of a Generative AI-based Knowledge Framework (GRAI) as an extension of the SECI model; however, this contribution remains theoretical and requires further empirical validation across organizational contexts.
Development of a Web-Based Digital Dictionary for the Most Common Vocabulary in the Qur'an Dhimas Hidayat; Aris Rakhmadi
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 2 (2026): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i2.9724

Abstract

Access to learning the most common Quranic vocabulary remains a challenge, particularly for the Deaf and Hard of Hearing community who face a significant lack of inclusive digital resources. Existing digital dictionaries often overlook this demographic, failing to provide crucial accessibility features such as sign language video translations. This research aims to bridge this accessibility gap by designing and developing a specialized, website-based digital dictionary focused on the most common Quranic terms. The primary contribution is an interactive and inclusive platform that integrates Arabic script, transliteration, and meaning with corresponding sign language video interpretations. The Agile Development methodology was employed, allowing for a flexible and iterative process to effectively address user feedback. This lifecycle involved key stages such as requirements planning, system modeling using UML and ERD, backend development with the Laravel framework, and functional validation via black-box testing. The testing phase demonstrated highly positive outcomes; functional validation via Black-Box testing confirmed that all system modules operated correctly according to specifications without any errors. Furthermore, the usability evaluation using the System Usability Scale (SUS) yielded an average score of 71, placing the platform in the "Good" category with an "Acceptable" level of usability.

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