cover
Contact Name
Ardi Susanto
Contact Email
jais.ejurnal@gmail.com
Phone
+6281235610550
Journal Mail Official
admin@gws-tech.id
Editorial Address
Jalan Raya Kluwut Timur no. 24, Kluwut, Bulakamba
Location
Kab. brebes,
Jawa tengah
INDONESIA
Journal of Applied Informatics Science
Published by GWS Tech Solution
ISSN : 31107451     EISSN : 31107451     DOI : -
Aim The Journal of Applied Informatics Science is dedicated to advancing the discipline of applied informatics by publishing high-quality, peer-reviewed research that integrates theoretical foundations with practical solutions. The journal seeks to promote scientific excellence, foster technological innovation, and support interdisciplinary collaboration within the global informatics community. Its primary objective is to provide an authoritative platform for researchers, academicians, and industry professionals to disseminate original contributions that address emerging challenges, opportunities, and transformations in intelligent and secure computing. Scope The journal welcomes submissions that explore concepts, models, technologies, and applications across a wide spectrum of applied informatics. Areas of interest include, but are not limited to: Intelligent Systems and Artificial Intelligence: machine learning, deep learning, expert systems, natural language processing, computer vision, robotics, autonomous systems, and intelligent agents. Software Engineering: software development methodologies, agile and DevOps approaches, software testing and quality assurance, software architecture, cloud-native development, and distributed systems. Computing Systems: high-performance computing, embedded and real-time systems, parallel computing, Internet of Things (IoT), sensor networks, edge and fog computing, and cyber-physical system architectures. Cybersecurity and Cryptography: secure communication protocols, network security, intrusion detection and prevention systems, cryptographic techniques, cyber threat modeling, blockchain security, and privacy-preserving technologies. Big Data and Data Analytics: scalable data processing frameworks, data mining, predictive analytics, real-time analytics, data streams, visualization techniques, and analytical dashboards. Business Intelligence and Knowledge Management: decision support systems, enterprise data warehousing, knowledge discovery, digital transformation strategies, and AI-driven business process optimization. The journal accepts original research articles, review papers, technical notes, and case studies that contribute to scientific understanding, technological development, policy insight, or practical implementation of informatics solutions. All submissions undergo a rigorous peer-review process to ensure academic integrity, relevance, and quality. The Journal of Applied Informatics Science encourages interdisciplinary research that connects informatics with domains such as healthcare, education, business, environment, industry, and public services.
Articles 3 Documents
Search results for , issue "Volume 1 Issue 2 (2025): (in Progress)" : 3 Documents clear
Design of Web-Based Smart Classroom Booking System Using Waterfall Method Suhadi Parman; Krisna Adilla Fernanda; Muhammad Fatih Khoiri Asim; Yusuf Alim Romadon; Muhammad Arif Rizky; Maemunah Halimatus Sa’diyah; Revi Injani; Ratu Billah Lingga Suci
Journal of Applied Informatics Science Volume 1 Issue 2 (2025): (in Progress)
Publisher : GWS Tech Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65897/jais.v1.i2.53

Abstract

This study designs a web-based Smart Classroom Booking System using the System Development Life Cycle (SDLC) with Waterfall approach to enhance the efficiency of classroom scheduling and management in the Informatics study program. The development process covers the stages of planning, analysis, and design. The main features designed include real-time classroom availability display, automatic schedule validation to prevent conflicts, booking notifications, and a user-friendly interface. The design results consist of Use Case Diagram, Activity Diagram, Sequence Diagram, Class Diagram, User Interface Flow, and high-fidelity interface prototypes. This system is expected to minimize schedule conflicts, reduce manual administrative tasks, and create a more organized, transparent, and technology-driven academic environment when implemented in the future.
Usability Evaluation of a Desktop Library Application Using the System Usability Scale Gunardi, Kahfi; Hardiyanti, layli; Wijaya, Abdun; Arnilia, Okma; Sujana, Fadhlan Ridhwana
Journal of Applied Informatics Science Volume 1 Issue 2 (2025): (in Progress)
Publisher : GWS Tech Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65897/jais.v1.i2.71

Abstract

This study aims to evaluate the usability of an offline desktop library application developed using Java Swing and integrated with an iReport feature. The evaluation employed the System Usability Scale (SUS) using a descriptive quantitative approach. Data were collected from 28 respondents consisting of librarians and library administrators as the primary system users. The results show that the application achieved an average SUS score of 62.77, which falls into the marginal acceptability range, corresponding to Grade D and an “OK” adjective rating, and below the standard SUS benchmark score of 68. These findings indicate that the application adequately supports basic library operations but still exhibits usability limitations, particularly in interface consistency, user confusion, and reliance on technical assistance. Consequently, improvements in interface design and user experience are necessary to enhance the overall usability of the application.
Implementation of a Decision Support System for Selecting the Best Clothing Brand Using the Website-Based TOPSIS Method Sokid, Sokid
Journal of Applied Informatics Science Volume 1 Issue 2 (2025): (in Progress)
Publisher : GWS Tech Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65897/jais.v1.i2.72

Abstract

The rapid growth of the fashion market increases the number of available clothing brands, making it harder for consumers to select the best option under multiple criteria. This study develops a web-based decision support system for selecting the best clothing brand using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The criteria include price as a cost criterion and material quality, comfort, durability, and suitability as benefit criteria. Brand alternatives are evaluated on a 1–10 scale and processed through TOPSIS steps, including normalization, weighting, determining ideal solutions, computing distances to the positive and negative ideal solutions, and calculating the preference value (Ci). The ranking results indicate that Elizabeth (A6) achieves the highest preference score (Ci = 0.723779), thus recommended as the best brand. The proposed system supports criteria and alternative input, automated computation, transparent step-by-step calculations, and result export, enabling more objective and efficient decision-making.

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