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Edi Sutoyo
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International Journal of Advances in Data and Information Systems
Published by Indonesian Scientific Journal
ISSN : -     EISSN : 27213056     DOI : https://doi.org/10.25008/ijadis
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
International Journal of Advances in Data and Information Systems (IJADIS) (e-ISSN: 2721-3056) is a peer-reviewed journal in the field of data science and information system that is published twice a year; scheduled in April and October. The journal is published for those who wish to share information about their research and innovations and for those who want to know the latest results in the field of Data Science and Information System. The Journal is published by the Indonesian Scientific Journal. Accepted paper will be available online (free access), and there will be no publication fee. The author will get their own personal copy of the paperwork. IJADIS welcomes all topics that are relevant to data science, and information system. The listed topics of interest are as follows: Data clustering and classifications Statistical model in data science Artificial intelligence and machine learning in data science Data visualization Data mining Data intelligence Business intelligence and data warehousing Cloud computing for Big Data Data processing and analytics in IoT Tools and applications in data science Vision and future directions of data science Computational Linguistics Text Classification Language resources Information retrieval Information extraction Information security Machine translation Sentiment analysis Semantics Summarization Speech processing Mathematical linguistics NLP applications Information Science Cryptography and steganography Digital Forensic Social media and social network Crowdsourcing Computational intelligence Collective intelligence Graph theory and computation Network science Modeling and simulation Parallel and distributed computing High-performance computing Information architecture
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 168 Documents
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Enhancing AI-driven Cybersecurity Awareness Smart Consultant using RAG Method with Hybrid Knowledge Based Pratama, I Putu Agus Eka; Widyantara, I Made Oka; Linawati, Linawati; Gunantara, Nyoman
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1488

Abstract

The rapid advancement of Artificial Intelligence (AI), particularly in the realm of Large Language Model (LLM), holds significant potential for addressing the escalating issue of cyberattacks that exploit users' insufficient cybersecurity awareness. This study involves the design and development of a prototype cybersecurity awareness smart consultant, leveraging AI through the Retrieval Augmented Generation (RAG) method. This approach integrates hybrid knowledge derived from both user-specific internal cybersecurity documents and internet resources, thereby enhancing the validity of system responses and mitigating the risk of hallucinations. The prototype was evaluated using the Answer Accuracy Score (AAS) method, based on Black Box Testing and human evaluation, across four cybersecurity-related questions, yielding an average score of 0.925, accompanied by comprehensive analysis and discussion. The findings indicate that the system's response accuracy improves when knowledge is synthesized from both internal document resources and internet sources. Future research may focus on incorporating deliberative thinking to further enhance system performance in generating responses.
Designing Enterprise Architecture for Vessel Services: A Case Study of PT Pelindo Jasa Maritim Ariatama, Triswiza; Purwandari , Betty; Satria , Riri
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1490

Abstract

PT Pelindo Jasa Maritim (SPJM), as one of the subholdings of PT Pelabuhan Indonesia (Pelindo) providing marine and port supporting services, requires information technology to support service integration in line with the company’s strategic directions. Using the TOGAF framework, this study identifies five main business service clusters: Marine Services (Pilotage and Towage), Crewing, Port & Equipment Services, Dredging & Shipyard, and Utilities. Each cluster is designed to be supported by a single standardized core application that reflects the strategic direction of “one main application per cluster.” The proposed architecture combines a hybrid cloud approach with Internet of Things (IoT) technologies to enable advanced analytics and data-driven decision making. Data were collected through document analysis, interviews with key stakeholders, and observation of core business processes. This study adopts a Design Science Research (DSR) approach and evaluates the EA blueprint through expert-based validation against alignment, completeness, and implementation feasibility criteria. The study results in an enterprise architecture blueprint that defines the role of core applications for each service cluster and specifies the supporting technology platforms required to realize strategic directions. The design can serve as a reference for companies in the maritime industry..
Multi-Output Classification of Cognitive Levels and Topics in Indonesian Questions using Deep Learning and Transformers Orvalamarva, Orvalamarva; Pratiwi, Oktariani Nurul; Fakhrurroja, Hanif
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1492

Abstract

Managing large-scale digital question banks struggles with manual metadata labeling, especially when identifying material topics and cognitive levels based on the Revised Bloom's Taxonomy. Current automated approaches usually treat these two attributes as separate tasks, which adds to the system's complexity and computational load. This study introduces a multi-output classification method using a shared encoder architecture with two task-specific heads to predict topics and cognitive levels simultaneously. We performed experiments on 685 Indonesian junior high science questions, covering 15 topic labels and four cognitive levels (C1–C4), with an imbalanced distribution in which lower cognitive levels accounted for more than 75% of the dataset. To handle this imbalance, we applied Focal Loss to taxonomy classification, and class weighting was used in the comparison model. A comparative study involved CNN, BiLSTM, DistilBERT, and IndoBERT. Our results demonstrate that IndoBERT delivered the best performance, with F1-macro scores of 0.78 for topics and 0.71 for cognitive levels and showed better performance in minority classes compared to standard cross-entropy-based models. These findings suggest that an integrated multi-output approach can boost the efficiency and accuracy of question labeling and offers potential for integration into Computer-Based Test systems and e-assessment platforms in real time.
Usability Evaluation and Alternative Interface Design Recommendations for the GoFood Merchant Application Saputro, Singgih Rochmad; Santoso, Harry Budi
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1496

Abstract

The GoFood Merchant application serves as a critical platform for merchant onboarding and product activation within Indonesia’s digital food delivery ecosystem. Despite its key role, user feedback indicates persistent usability issues, particularly in corporate onboarding. This study evaluated and improved the usability of GoFood Merchant by focusing on workflow complexity, information clarity, and interface consistency. A mixed-methods exploratory case study was conducted involving quantitative and qualitative data collected from merchant owners, merchant staff, and IT experts. Quantitative data were obtained using the system usability scale (SUS) questionnaire, while qualitative data were collected through task-based usability testing, open-ended questions, and an evaluation based on heuristic design principles derived from Shneiderman’s eight golden rules of interface design. The initial evaluation of the existing (“as-is”) interface yielded an SUS score of 63.83, indicating usability below the accepted benchmark, and revealed 10 consensus usability issues related to complex task flow, unclear system feedback, and inconsistent interface elements. Based on these findings, a redesign was developed using user-centered design (UCD) principles through iterative low-fidelity and high-fidelity prototyping. The redesigned (“to-be”) prototype was subsequently evaluated using the same instruments. Usability was significantly improved, with an SUS score of 85 and average principle-based evaluation ratings above 4.0 across all interface design principles derived from Shneiderman’s eight golden rules. These findings demonstrate that systematic usability evaluation combined with iterative UCD-based redesign can effectively enhance user satisfaction, efficiency, and comprehension in complex onboarding systems. This study provides validated design recommendations for improving GoFood Merchant onboarding and contributes empirical evidence for usability-driven interface redesign in large-scale mobile platforms.
SARIMA-GARCH and LSTM Performance for Broiler Meat Price Forecasting: A Case Study in West Sumatra Wijaya, Joshua Bryan; Dzulkharifah, Indah; Putra, Varel Geo Syah; Abdurahman, Harits; Mualifah, Laily Nissa Atul; Pangesti, Windi
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1497

Abstract

The price of broiler chicken meat in West Sumatra is characterized by strong seasonality and high volatility. As a primary source of animal protein and a key contributor to regional inflation, accurate forecasting of these price fluctuations is essential for economic stability and policymaking. This study aims to compare the forecasting performance of the SARIMA-GARCH hybrid model against the Long Short-Term Memory (LSTM) model. The dataset consists of 1,198 daily observations spanning from 15 July 2022 to 24 October 2025, sourced from the National Food Agency (Badan Pangan Nasional). The results demonstrate that the SARIMA-GARCH model outperforms the LSTM model in terms of point forecast accuracy, as evidenced by lower prediction error metrics. Furthermore, the hybrid model successfully satisfies the statistical diagnostic criteria for volatility modeling by effectively resolving ARCH effects, ensuring the statistical validity of the residuals. While the LSTM model produces smoother long-term forecasts, the SARIMA-GARCH model effectively captures daily price fluctuations and indicates a modest upward trend over the next 28 days. These findings suggest that SARIMA-GARCH provides a more realistic depiction of short-term price movements for this specific regional market, offering a localized framework for stakeholders in West Sumatra to anticipate future market changes and maintain price stability.
A Usability Evaluation of an E-Commerce Checkout System Using SUS and Usability Testing Pahlevi, Reynald Daffa; Santoso, Harry Budi
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1498

Abstract

This study focuses on evaluating and improving the usability of the XYZ Checkout System, which previously exhibited several issues that negatively affected transaction completion, including unclear information hierarchy, inconsistent interface behaviour, and inefficient checkout flows. To address these challenges, the research adopted a User-Centered Design (UCD) approach supported by a mixed-method evaluation strategy, combining the System Usability Scale (SUS), usability testing, and open-ended questions. A between-subject research design was employed, involving two independent groups of participants. The initial as-is evaluation was conducted with 35 users and produced an average SUS score of 69.57, indicating marginal usability and the presence of notable interaction barriers. Based on the findings, a high-fidelity to-be prototype was designed using established usability heuristics and UCD principles. The redesigned interface was subsequently evaluated by a different group of 35 users, resulting in a significantly improved average SUS score of 96.64, classified as Excellent with high acceptability. Overall, the results demonstrate that the proposed design improvements successfully enhanced interface consistency, clarity of interaction, and checkout efficiency, emphasizing the critical role of systematic usability evaluation in optimizing e-commerce checkout systems.
Enhancing E-Insurance Mobile Applications through Cognitive Walkthrough and System Usability Scale (SUS): A Case Study of My Taspen Life Diarto , Nur; Santoso, Harry Budi
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1499

Abstract

The digital transformation of the insurance sector has necessitated mobile services with superior usability. The My Taspen Life mobile application has experienced low user satisfaction attributed to its suboptimal user interface (UI) and user experience (UX). This study aimed to evaluate the application's usability and propose a validated high-fidelity prototype employing a User-Centered Design (UCD) approach. A mixed-methods evaluation comprised a System Usability Scale (SUS) survey, a Cognitive Walkthrough with experts, and Usability Testing. The identified issues were mapped against Shneiderman’s Eight Golden Rules of Interface Design to develop an adequate solution. The initial results showed an average SUS score of 65.51, below the global SUS average, and identified critical constraints in layout, navigation, and visual representation. Following the redesign, the prototype was re-evaluated by 12 participants, equally distributed between employees and external users. The final evaluation demonstrated a significant improvement, achieving a SUS score of 83.54 (Grade A, "Excellent"). Task scenario testing further confirmed that the new interface significantly reduced user dissatisfaction. We conclude that implementing UCD-based intervention can address significant usability problems in e-insurance applications.
Online Gambling in Indonesia: User Intention Factors Analysis Alwafi, Muhammad Ashfahani; Purwandari, Betty; Satria, Riri; Trimanadi, R.
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1500

Abstract

The rapid growth of online gambling posed a serious socio-economic threat in Indonesia, with transaction values reaching hundreds of trillions of rupiah. This study aimed to analyze the factors influencing the intention to engage in online gambling by integrating the Theory of Planned Behavior (TPB) with contextual external variables. Data were collected through a questionnaire from 187 Indonesian respondents with online gambling experience and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicated that online gambling intention was significantly and directly influenced only by perceived behavioral control and monetary gain. Furthermore, religiosity played a significant indirect role by strengthening perceived behavioral control, which in turn affected intention. The findings suggested that intervention strategies should extend beyond awareness campaigns to include targeted financial literacy education and the reinforcement of regulatory and technological barriers to disrupt the perceived ease and financial allure of gambling platforms.
Digital Surveillance in Information System Research: A Hybrid Systematic Literature Review and Bibliometric Analysis Mulyati, Rika; Lubis, Muharman; Suakanto, Sinung; Andriana, Andriana; Caturwati, Ni Ketut
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1501

Abstract

The advancement of digital technology has promoted the application of digital surveillance in many fields, including public health and social risk management. Nonetheless, little research has comprehensively mapped the field of digital surveillance studies. This paper seeks to investigate the publications, scientific structures, and significant topics of digital surveillance research through a systematic literature review integrated with bibliometric and thematic analyses. Records retrieved from Scopus, 2009-2025resulted in 286 articles that fulfilled the inclusion criteria. Bibliometric analysis was performed using VOSviewer to identify publication trends, main scientific fields, and relationships between keywords. Meanwhile, thematic analysis using NVivo was used to reveal research themes and sub-themes. The results showed that digital surveillance publications had increased significantly since 2020. Social sciences, medicine, and computer science dominated the publications. Thematic analysis revealed that the main research themes focused on the application of digital surveillance in public health, data and information system management, and the use of digital technology. However, issues of governance, ethics, and privacy protection were still underexplored. These findings contribute theoretically by mapping the landscape of digital surveillance research and, practically, by helping academics and practitioners identify opportunities for research and policy development that pay greater attention to ethical and digital governance aspects.
Data Analytics Capability Maturity and Governance Gaps in PT ABC: A Diagnostic Case Study Simanjuntak, Almon Junior; Hidayanto, Achmad Nizar; Trimanadi, Raden
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1503

Abstract

This study provides a within-case diagnosis of data analytics capability maturity in PT ABC to inform refinement of its 2025 to 2026 governance roadmap. Using a qualitative-first mixed-method diagnostic case design (QUALQUAN), this study conducted five semi-structured key-informant interviews first, followed by a cross-sectional survey of 76 purposively selected analytics-involved employees, analyzed using the Shortened TDWI Data Analytics Maturity Model (STDAMM). The overall maturity mean was 3.31 on a 5-point scale (bootstrap 95% confidence interval: 3.15 to 3.46), classifying the assessed respondent pool as Level 3 (Established). Dimension means were tightly clustered (3.27 to 3.35) with substantial confidence-interval overlap, suggesting that respondents perceive maturity as a coupled system rather than sharply separated capability domains. A small descriptive pattern places analytics use and infrastructure marginally above data management and organizational enablement, consistent with interview accounts of definition inconsistency, limited socialization of dictionary and stewardship practices, and recurring manual reconciliation of figures across systems. The findings support a governance-first refinement of the roadmap that prioritizes standardization and ownership mechanisms to improve the comparability and decision-readiness of analytics outputs, while treating subgroup comparisons cautiously where measurement comparability is not supported.

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