Journal of Applied Informatics Science
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
8 Documents
<![CDATA[Design and Construction of a Web-Based Maintenance Ticket System to Optimize Damage Monitoring in Retail Stores ]]>
<![CDATA[Andrianto, Andrianto]]>;
<![CDATA[Anggraeni Putri, Sukmawati]]>
<![CDATA[ Journal of Applied Informatics Science Volume 1 Issue 1 (2025) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v1.i1.28
<![CDATA[PT. Indomarco Prismatama Cabang Tangerang 1 faces challenges in managing store infrastructure maintenance tickets because the reporting system is still manual. This causes delays in handling, unsystematic documentation, and difficulty in monitoring repair status. This study aims to design a web-based maintenance ticket information system to improve the efficiency of reporting and monitoring damage. The methods used include observation, interviews, and literature studies, with a system development approach using the Waterfall model. The system is built using the PHP programming language and MySQL database, and is designed with ERD diagrams and logical data structures. Testing is carried out using the blackbox method to ensure system functionality and User Acceptance Test (UAT) to assess user acceptance. The test results show that all functions run well, and the system is accepted with a high level of user satisfaction. This system helps improve the effectiveness of the maintenance process and supports the smooth operation of the store as a whole.]]>
<![CDATA[A Web-Based Chatbot-Integrated Application for Skin Disease Detection Using ResNet50 Architecture ]]>
<![CDATA[Naovi Magfiroh]]>;
<![CDATA[Sasmito, Ginanjar Wiro]]>;
<![CDATA[Ilmadina, Hepatika Zidny]]>
<![CDATA[ Journal of Applied Informatics Science Volume 1 Issue 1 (2025) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v1.i1.31
<![CDATA[The skin is a vital human organ located on the outermost part of the body and is vulnerable to various external stimuli and diseases. The high prevalence of skin diseases in Indonesia indicates a lack of public awareness regarding skin health. This study aims to develop a web-based application capable of detecting 10 types of skin diseases quickly and accurately using the ResNet50 architecture and computer vision technology. The research stages include the creation of a Haar Cascade Classifier, developing an image classification model, model evaluation, chatbot development, system design, implementation, and application testing. The results show that the model achieved an accuracy of 90.10% on the training data and 89.06% on the validation data. The integrated chatbot also provided additional information with a response accuracy of 87.50%. System testing demonstrated good performance based on black-box testing and scored 77.625 on the System Usability Scale (SUS), which falls into the "Good" category. This application can detect early skin disease without requiring direct consultation with a doctor.]]>
<![CDATA[Drug Data Management Application at Telu Tegal Pharmacy Using Website-Based K-Means Algorithm ]]>
<![CDATA[Rafidatus Salsabilah Qosimah]]>;
<![CDATA[Ginanjar Wiro Sasmito]]>;
<![CDATA[Dyah Apriliani]]>
<![CDATA[ Journal of Applied Informatics Science Volume 1 Issue 1 (2025) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v1.i1.34
<![CDATA[The rapid development of information technology provides great opportunities in increasing the efficiency and accuracy of data management, including in the pharmaceutical sector. Apotek Telu as one of the health service providers requires a system that is able to manage drug sales data effectively and provide useful insights in decision making. This study aims to build a website-based application that not only handles drug data management and sales transactions, but is also equipped with a disease trend analysis feature using the K-Means Clustering algorithm. This method is used to group drug purchase data based on patient purchase patterns, so that it can identify disease trends that often occur in a certain period. This application is built using the Laravel framework for the backend and Blade as the frontend templating system. The test results show that the application is able to manage data efficiently and display the results of disease trend analysis in the form of informative graphic visualizations, so that it can help pharmacies in planning stock and providing more targeted services.]]>
<![CDATA[Web-Based Electronic Medical Record System with Patient Activity Recommendation Using K-Nearest Neighbor Algorithm ]]>
<![CDATA[Rama Oktabara]]>;
<![CDATA[Ginanjar Wiro Sasmito]]>;
<![CDATA[Dega Surono Wibowo]]>
<![CDATA[ Journal of Applied Informatics Science Volume 1 Issue 1 (2025) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v1.i1.36
<![CDATA[In the digital era, the use of information technology in the health sector continues to grow, one of which is through the implementation of Electronic Medical Records (EMR). This study develops a web-based EMR system equipped with an automatic patient activity recommendation feature using the K-Nearest Neighbor (KNN) algorithm. Data from 550 patients from Dr. Viandini Clinic, Halo doc, and the internet were used with attributes of disease, age, blood pressure, and activity recommendations. The development process includes data collection, labeling, preprocessing, training and evaluation of the KNN model using the Accuracy@1 and Accuracy@5 metrics. The system is implemented with Laravel Filament and Python-Flask for the recommendation API. The test results show that the system is able to provide relevant recommendations with Accuracy@1 of 90.83% and Accuracy@5 of 95.31%. The application of KNN to this system supports automation, efficiency, and improvement of service quality in clinics and is the basis for the development of more personalized and data-driven digital health services.]]>
<![CDATA[Designing a Booth Tenant Reservation System for Cresindo Organizer with a Greedy Algorithm Approach ]]>
<![CDATA[Komari, Muhammad Faqih Maulana]]>;
<![CDATA[Wiro Sasmito, Ginanjar]]>;
<![CDATA[Nishom, M.]]>
<![CDATA[ Journal of Applied Informatics Science Volume 1 Issue 1 (2025) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v1.i1.40
<![CDATA[Booking Booth Tenant is an integrated information system developed to address the inefficiencies and allocation errors often encountered in the manual booth reservation process at events organized by Cresindo Event Organizer. This study aims to design and develop a web-based application that facilitates digital and automated booth reservations. The system was developed using the waterfall software engineering approach, with the Greedy algorithm implemented as the core method for allocating booths based on booking order, availability, and strategic location preferences. The results show that the system significantly accelerates the reservation process, improves the accuracy of booth placement, and provides users with an interactive experience through an intuitive booth map interface. In conclusion, the application of the Greedy algorithm in the Booking Booth Tenant system proves effective in enhancing efficiency, transparency, and the overall quality of service provided by Cresindo Event Organizer to its tenants.]]>
<![CDATA[Design of Web-Based Smart Classroom Booking System Using Waterfall Method ]]>
<![CDATA[Suhadi Parman]]>;
<![CDATA[Krisna Adilla Fernanda]]>;
<![CDATA[Muhammad Fatih Khoiri Asim]]>;
<![CDATA[Yusuf Alim Romadon]]>;
<![CDATA[Muhammad Arif Rizky]]>;
<![CDATA[Maemunah Halimatus Sa’diyah]]>;
<![CDATA[Revi Injani]]>;
<![CDATA[Ratu Billah Lingga Suci]]>
<![CDATA[ Journal of Applied Informatics Science Volume 1 Issue 2 (2025): (in Progress) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v1.i2.53
<![CDATA[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.]]>
<![CDATA[Usability Evaluation of a Desktop Library Application Using the System Usability Scale ]]>
<![CDATA[Gunardi, Kahfi]]>;
<![CDATA[Hardiyanti, layli]]>;
<![CDATA[Wijaya, Abdun]]>;
<![CDATA[Arnilia, Okma]]>;
<![CDATA[Sujana, Fadhlan Ridhwana]]>
<![CDATA[ Journal of Applied Informatics Science Volume 1 Issue 2 (2025): (in Progress) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v1.i2.71
<![CDATA[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.]]>
<![CDATA[Implementation of a Decision Support System for Selecting the Best Clothing Brand Using the Website-Based TOPSIS Method ]]>
<![CDATA[Sokid, Sokid]]>
<![CDATA[ Journal of Applied Informatics Science Volume 1 Issue 2 (2025): (in Progress) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v1.i2.72
<![CDATA[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.]]>
