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Contact Name
Edi Sutoyo
Contact Email
journalijadis@gmail.com
Phone
+62895410194922
Journal Mail Official
info@ijadis.org
Editorial Address
Indonesian Scientific Journal (Jurnal Ilmiah Indonesia) Jl. Pasar Atas No 3, Kompleks Setramas Kota Cimahi, Bandung
Location
Unknown,
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INDONESIA
International Journal of Advances in Data and Information Systems
ISSN : -     EISSN : 27213056     DOI : https://doi.org/10.25008/ijadis
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
Articles 14 Documents
Search results for , issue "Vol. 6 No. 1 (2025): April 2025 - International Journal of Advances in Data and Information Systems" : 14 Documents clear
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.
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.
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.

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