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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 137 Documents
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Web-Based Village Land Information System Development for Optimizing Regional Land Administration Sidiq, Habibi Hasbi; Junarto, Rohmat; Wahyuni, Wahyuni
International Journal of Advances in Data and Information Systems Vol. 6 No. 1 (2025): April 2025 - 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.v6i1.1360

Abstract

Access to land information in Indonesia is restricted, especially at the village and sub-district levels, where detailed data is essential for efficient land administration. This research aims to create a web-based Village Land Information System to improve regional land administration through the provision of organized, accessible, and dependable land data. The study employed a Research and Development (R&D) methodology using a prototyping approach, gathering data through observation, surveys, and literature analysis. Data were examined using both descriptive and quantitative methods, with validation and reliability assessments conducted on questionnaires administered to 100 respondents. The assessment employed the End User Computing Satisfaction (EUCS) and Importance-Performance Analysis (IPA) methodologies. The system development encompassed multiple phases: requirements analysis, prototype design, implementation, functionality testing, and evaluation. The Unified Modeling Language (UML) was utilized for system modeling, and user interfaces were crafted with a focus on usability. Functionality tests verified that all features functioned well, and user assessments revealed significant satisfaction with the system’s content, correctness, format, usability, and promptness. The application markedly enhanced land administration by providing comprehensive land information, facilitating access, elucidating service procedures, and systematizing data storage. The results illustrate the capability of web-based technologies to enhance regional land administration and facilitate village government in improving service delivery and land information management.
Comparison of Text Classification Techniques in Fake News Detection in the Digital Information Age Ilham, Dimas Muhammad; Mujiyono, Sri
International Journal of Advances in Data and Information Systems Vol. 6 No. 1 (2025): April 2025 - 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.v6i1.1365

Abstract

A comparison of text classification techniques for detecting fake news in the digital information age has been discussed in this study, with a focus on the application of Deep Learning methods, specifically Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). The increasing spread of fake news through digital platforms emphasizes the importance of developing effective methods for identifying inaccurate information. In this study, a news dataset was collected from various sources, and both models were applied for text classification analysis. The performance of the model was then measured based on accuracy, precision, recall, and F1-score. The results showed that although both have their own advantages, better results in terms of processing speed and classification accuracy were found in CNN compared to RNN. These findings provide important insights for the development of more efficient and effective fake news detection systems in the digital age.
Grid-Based Ship Density Analysis and Anomaly Detection for Ship Movements Monitoring at Tanjung Priok Port Ikhsan, Muhammad Ramadhan; Pamungkasari, Panca Dewi; Purbantoro, Babag; Sholihati, Ira Diana; Farahdinna, Frenda; Sumantyo, Josaphat Tetuko Sri; Heezen, Damy Matheus
International Journal of Advances in Data and Information Systems Vol. 6 No. 1 (2025): April 2025 - 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.v6i1.1367

Abstract

Indonesia, as a maritime country, depends on ports to support inter-island transport and a smooth regional economy. So, the awareness of knowing the marine status with various platforms is needed. This research distinguishes itself from several previous studies on ship movement detection by concentrating specifically on anomalies in ship movement within areas of high traffic density. This research proposes to find out the ship density area using the grid technique and identify the anomalies that have occurred, as information on ship movements at Tanjung Priok Port. Anomaly detection is done by looking for it through visualization, where AIS data is converted into a form of visualization using the Python language. The results obtained two pieces of information, namely that the areas with the highest density are around the harbor, docks, and ship lanes. Then, two types of anomalies were detected, namely large ships with dangerous cargo speeding in dense areas and ships that behave differently compared to other ships with the same status.
Predicting Software Defects at Package Level in Java Project Using Stacking of Ensemble Learning Approach Zahra, Nabila Athifah; Arifiyanti, Amalia Anjani; Kartika, Dhian Satria Yudha
International Journal of Advances in Data and Information Systems Vol. 6 No. 1 (2025): April 2025 - 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.v6i1.1368

Abstract

Compared to manual and automated testing, AI-driven testing provides a more intelligent approach by enabling earlier prediction of software defects and improving testing efficiency. This research focuses on predicting software defects by analyzing CK software metrics using classification algorithms. A total of 8924 data points were collected from five open-source Java projects on GitHub. Due to class imbalance, undersampling was applied during preprocessing along with data cleaning and normalization. The final dataset consists of 1314 instances (746 clean and 568 buggy). The predictive model is developed in two stages: base learner (level-0) using AdaBoost, Random Forest (RF), Extra Trees (ET), Gradient Boosting (GB), Histogram-based Gradient Boosting (HGB), XGBoost (XGB), and CatBoost (CAT) algorithms, and meta-learner (level-1) that optimizes the results using ensemble stacking techniques. The stacking model achieved an ROC-AUC score of 0.8575, outperforming all individual classifiers and effectively distinguishing defective from non-defective software components. The comparison of performance improvements between the base model (tree-based ensemble) and stacking was statistically validated using paired t-tests. All p-values were below 0.05, confirming the significance of Stacking’s superior performance, with the largest gain observed against Gradient Boosting (+0.0411, p = 0.0030). The confusion matrix of stacking model is the most optimal model because it has high of True Positive and True Negative, while  False Positive and False Negative values are relatively low. These findings affirm that ensemble stacking yields a more robust and balanced classification system, enhancing defect prediction accuracy and enabling earlier issue detection in the Software Development Life Cycle (SDLC). 
Analysis of Factors Influencing the Intention to Use QRIS As a Payment Tool in Central Kalimantan Province Mangudu, Mikha; Sfenrianto, Sfenrianto
International Journal of Advances in Data and Information Systems Vol. 6 No. 1 (2025): April 2025 - 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.v6i1.1369

Abstract

In recent years, the Quick Response Code Indonesian Standard (QRIS) has emerged as a digital payment system in Indonesia. Central Kalimantan has witnessed a substantial increase of 91% in the number of merchants adopting this system in 2021 compared to previous years. However, the significant growth of merchants with QRIS options has not yet had the expected increase in usage frequency. This research aims to identify the factors influencing the utilization of QRIS as a payment method and to formulate recommendations to enhance its adoption. Employing a quantitative method, this study modifies the Technology Acceptance Model (TAM) by including external variables such as Subjective Norm, Perceived Security based on preliminary research to understand their impact on Behavioral Intention to use. Data calculation and analysis were conducted using the SmartPLS 3 tool. The findings reveal that Attitude Toward Using exerts a significant influence on Behavioral Intention to Use. While Subjective Norm, Perceived ease of use and Perceived Usefulness significantly affect usage intention through Attitude Toward Using, this study highlights the potential for increased QRIS adoption by leveraging community figures or influencers in socialization efforts. Furthermore, enhancing perceived usefulness through merchant promotions and user education is crucial for fostering positive attitudes towards QRIS usage.
Factor Affecting User Satisfaction of Property Management Helpdesk Mobile Application Using End User Computing Satisfaction (EUCS) Modification Model Rahmat Maulana, Ihsan; Nilo Legowo
International Journal of Advances in Data and Information Systems Vol. 6 No. 1 (2025): April 2025 - 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.v6i1.1370

Abstract

The property industry has benefited from ongoing technological advancements in apartment management. In Indonesia, apartments are among the fastest-growing real estate types. Consequently, tenants face greater competition for quality services, especially in helpdesk support. The property management helpdesk application is a modern solution developed by the property business to improve service delivery. Tenants can submit requests and complaints directly through mobile apps. This study employs a modified End User Computing Satisfaction (EUCS) model to evaluate user satisfaction with the helpdesk application. Additional variables include system quality, perceived usefulness, and attitude toward use. A simple random sampling strategy and quantitative methodology were applied. Primary data were collected through questionnaires from 336 users of the property management helpdesk application. Findings indicate that system quality, content, accuracy, format, ease of use, and timeliness positively affect users’ attitudes toward the application. The results also show that both system quality and attitude toward use have a significant positive impact on user satisfaction. These data provide valuable insights for improving the application functionalities and user experience. The findings assist property management in improving service quality via enhanced application performance, elevating user happiness and renter retention in a competitive property landscape.
Factors Influencing Public Intention to Use the Kepahiang Local Tax Mobile Application: An Adapted UTAUT Perspective Escobar, Franco; Tjhin, Viany Utami
International Journal of Advances in Data and Information Systems Vol. 6 No. 2 (2025): August 2025 - 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.v6i2.1371

Abstract

This study aims to identify factors that influence the public’s behavioral intention to use the Kepahiang Local Tax Mobile Application. Developed by the Regional Government of Kepahiang Regency through the Revenue Division of the Regional Financial Agency, the application facilitates local tax payments, particularly for PBB-P2 (Rural and Urban Land and Building Tax). The research adopts an extended Unified Theory of Acceptance and Use of Technology (UTAUT) framework, incorporating additional variables such as Computer Self-Efficacy and Cost of Service, along with original UTAUT constructs: Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. It also examines moderating variables including Gender, Age, and Experience. Data were gathered through a questionnaire distributed to 152 respondents and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results reveal that Performance Expectancy and Social Influence significantly and positively affect Behavioral Intention to use the application, whereas Cost of Service shows a negative influence. Furthermore, Gender is found to moderate the relationship between Social Influence and Behavioral Intention. These findings offer insights into the key factors influencing the adoption of government mobile applications, serving as a useful reference for policymakers aiming to increase user acceptance and enhance the effectiveness of digital public services.
Machine Learning and Density Functional Theory Investigation of Corrosion Inhibition Capability of Ionic Liquid Safitri, Aprilyani Nur; Akrom, Muhamad; Al Azies, Harun; Pertiwi, Ayu; Kurniawan, Achmad Wahid; Herowati, Wise; Rustad, Supriadi
International Journal of Advances in Data and Information Systems Vol. 6 No. 1 (2025): April 2025 - 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.v6i1.1372

Abstract

This study investigated the corrosion inhibition potential of ionic liquid compounds using a QSPR-based machine learning predictive model combined with DFT calculations. The Gradient Boosting (GB) model was identified as the most effective predictor, demonstrating excellent accuracy with a high R² value of 0.98. Additionally, the model exhibited low RMSE (0.95), MAE (0.84), and MAD (0.94) values. The predicted corrosion inhibition efficiencies (CIE) for three new ionic liquid compounds (IL1, IL2, and IL3) were 88.95, 90.82, and 93.16, respectively, which aligned well with experimental data. By integrating DFT simulations into the data updating process, facilitated by machine learning, the approach proved invaluable for identifying new corrosion inhibitors. This work highlighted the continuous refinement of data related to the corrosion inhibition effects of ionic liquid compounds.
A Content-Based Filtering Approach for Matching Village Potentials with Community Service Programs Sarja, Ni Luh Ayu Kartika Yuniastari; Indrawan, I Kadek Surya; Putrawan, Agus Adi; Sarja, Ni Ketut Pradani Gayatri
International Journal of Advances in Data and Information Systems Vol. 6 No. 2 (2025): August 2025 - 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.v6i2.1373

Abstract

Village development through the development of village potential is carried out by universities in the form of community service. With the community service program, it is expected to help villages in village development so that they can become independent villages. However, in its implementation, the designed assistance programs are not specific and not aligned with the needs and potential of the village. As a result, the assistance provided is less effective and having minimal impact on village development. One of the causes is the unavailability of data on village potential and problems systematically and structured. Based on these problems, a recommendation system is needed that is able to provide assistance program proposals that are in accordance with the potential and problems of the village specifically and relevantly. This research uses Content-Based Filtering which provides recommendations based on the similarity of input data content with available historical data. The purpose of this research is to make the planning and implementation process of village assistance programs more efficient, effective, and on target. The results of the research are that the Content-Based Filtering method has proven effective in providing recommendations that are appropriate for mapping village potential and village assistance programs.
Web-Based E-Procurement Development in Regional-Owned Enterprises (BUMD): An R&D Approach Sutisna, Nandang; Abdul Rahman, Titik Khawa
International Journal of Advances in Data and Information Systems Vol. 6 No. 1 (2025): April 2025 - 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.v6i1.1374

Abstract

This study presents the design, development, and evaluation of a web-based e-procurement system tailored to the institutional needs of a Regional-Owned Enterprise (BUMD), with a case implementation at PDAM Tirta Kahuripan. Employing a Research and Development (R&D) methodology and assessed using ISO/IEC 25010 standards, the system integrates six core procurement modules—e-Planning, e-Budgeting, e-Preparation, e-Sourcing, e-Contracting, and e-Inventory—alongside a Vendor Management System (VMS) to enhance procurement transparency and supplier accountability. System testing involved both quantitative and qualitative assessments. Functionality and reliability achieved perfect scores (100%), usability scored 79 based on a System Usability Scale (SUS) survey completed by 20 procurement personnel, and maintainability recorded a moderate index of 82.85 based on PHP Metrics analysis. Efficiency testing using GTMetrix resulted in a Grade C, indicating areas for performance optimization. These findings demonstrate that the system is both technically robust and operationally relevant, offering a replicable model for digital procurement reform in decentralized public institutions. The study contributes to interdisciplinary knowledge across software engineering, public sector management, and procurement governance, with implications for future integration, scalability, and policy adoption in similar institutional contexts.

Page 10 of 14 | Total Record : 137

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