IJISTECH
IJISTECH (International Journal of Information System & Technology) has changed the number of publications to six times a year from volume 5, number 1, 2021 (June, August, October, December, February, and April) and has made modifications to administrative data on the URL LIPI Page: http://u.lipi.go.id/1492681220 IJISTECH (International Journal Of Information System & Technology) is a peer-reviewed open-access journal published two times a year in English-language, provides scientists and engineers throughout the world for the exchange and dissemination of theoretical and practice-oriented papers dealing with advances in intelligent informatics. All the papers are refereed by two international reviewers, accepted papers will be available online (free access), and no publication fee for authors. The articles of IJISTECH will be available online in the GOOGLE Scholar. IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in computer science and their applications in business, industry, and other subjects. Computer science is a branch of engineering science that studies computable processes and structures. It contains theories for understanding computing systems and methods; computational algorithms and tools; methodologies for testing of concepts. The subjects covered by the journal include artificial intelligence, bioinformatics, computational statistics, database, data mining, financial engineering, hardware systems, imaging engineering, internet computing, networking, scientific computing, software engineering, and their applications, etc. • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Autonomous Agents and Multi-Agent Systems • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer Interfacing • Business Intelligence • Chaos theory and intelligent control systems • Clustering and Data Analysis • Complex Systems and Applications • Computational Intelligence and Soft Computing • Cognitive systems • Distributed Intelligent Systems • Database Management and Information Retrieval • Evolutionary computation and DNA/cellular/molecular computing • Expert Systems • Fault detection, fault analysis, and diagnostics • Fusion of Neural Networks and Fuzzy Systems • Green and Renewable Energy Systems • Human Interface, Human-Computer Interaction, Human Information Processing • Hybrid and Distributed Algorithms • High-Performance Computing • Information storage, security, integrity, privacy, and trust • Image and Speech Signal Processing • Knowledge-Based Systems, Knowledge Networks • Knowledge discovery and ontology engineering • Machine Learning, Reinforcement Learning • Memetic Computing • Multimedia and Applications • Networked Control Systems • Neural Networks and Applications • Natural Language Processing • Optimization and Decision Making • Pattern Classification, Recognition, speech recognition, and synthesis • Robotic Intelligence • Rough sets and granular computing • Robustness Analysis • Self-Organizing Systems • Social Intelligence • Soft computing in P2P, Grid, Cloud and Internet Computing Technologies • Stochastic systems • Support Vector Machines • Ubiquitous, grid and high-performance computing • Virtual Reality in Engineering Applications • Web and mobile Intelligence, and Big Data
Articles
394 Documents
The Use of Rapid Application Development (RAD) Model in the Development of Raw Material Inventory Information System
Hidayati, Nur
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa
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DOI: 10.30645/ijistech.v9i1.400
In a company, there are several areas it manages, such as sales, purchases, inventory, marketing, production, and many other fields. Inventory, which is one of those areas, becomes a crucial center in the sustainability of the company's operations. This is because inventory has a relationship with sales and purchases, or is related to incoming and outgoing goods. Therefore, special attention is needed in this area of inventory. Inventory is not only related to goods but also to raw materials, depending on the type of company being run. In the inventory of raw materials specifically, it is essential to clearly understand the raw materials available in the company so that it can meet the company's needs in producing goods. To obtain this clear information, good information systems are certainly required. However, in reality, there are still many companies that use a manual system in managing their inventory data. This can obviously lead to several problems such as the information obtained regarding the final condition of the raw materials not being updated properly due to recording errors made on the incoming and outgoing raw materials. This condition results in the preparation of inventory reports being incorrect, thus making the information provided inaccurate. If this continues, it will negatively impact the company's survival. The company may incur significant losses and be unable to compete with other companies. Therefore, such companies need the development of a system that will transform from a manual system to a computerized system. With the hope of resolving the issues faced. In the process of developing the system, it is also necessary to choose the right model, such as the Rapid Application Development model. Because in this model, the existing stages can be carried out clearly and systematically and can have a short time estimate in the development of the system. The final result of this system development can be an inventory application that can be used to assist in managing its inventory data.
Design of the Management Information System for Interns at the Communication and Information Service of East Kalimantan Province
Karyn, Alesandra Gabriella;
Pahrudin, Pajar;
Khair, Ahmad Abul
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa
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DOI: 10.30645/ijistech.v9i1.401
This study aims to design an integrated, web-based Internship Management Information System specifically for the Department of Communication and Informatics of East Kalimantan Province. The background of this research lies in the existing manual internship administration process, including participant registration, document verification, daily attendance recording, performance evaluation, and certificate issuance, all of which are time-consuming and prone to errors. The research adopts the System Development Life Cycle (SDLC) with the Waterfall model, encompassing requirements analysis, system design, and the development of user interface mockups, without proceeding to actual system implementation. Requirements analysis was conducted through literature review, observation, and interviews with stakeholders to formulate the functional and non-functional needs of the system. The result is a comprehensive system blueprint, consisting of main process flowcharts, UML diagrams (use case, class, activity), and user interface designs for admins, participants, and supervisors. The system design enables online registration, digital data verification, daily reporting by participants, real-time monitoring by supervisors, automated evaluation based on specific criteria, as well as digital certificate generation and verification by the admin. This blueprint is expected not only to accelerate and simplify the internship process but also to enhance transparency, accountability, and efficiency in talent data management within the Department of Communication and Informatics of East Kalimantan Province. Furthermore, the system design can serve as a model for developing similar applications in other government agencies.
Development of a Financial Information System Website at Gkii Muara Asa Church
Setiawan, Hendri;
Ekawati, Hanifah;
Harianto, Kusno
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa
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DOI: 10.30645/ijistech.v9i1.402
Financial management in GKII Muara Asa Church has traditionally been conducted manually using physical books and spreadsheets, making it prone to recording errors, reporting delays, and lack of transparency for church members. To address these issues, a web-based Financial Information System (FIS) website was developed to facilitate transaction input, digital data storage, real-time financial reporting, and information access for members. The system was built using the Waterfall model of the System Development Life Cycle (SDLC), including planning, analysis, design, implementation, testing, and maintenance phases. Technologies used include Laravel as the backend, MySQL for database management, and Bootstrap for frontend development. Functional testing showed that all core features such as login, transaction input, data search, and backup operate as expected with an average response time under 2 seconds. The implementation proves that the system successfully improves efficiency, accuracy, and transparency in church financial management.
Mobile-Based Application Implementing the Dempster-Shafer Method for Diagnosing Post-Traumatic Stress Disorder (PTSD)
Putri, Dini Ridha Dwiki;
Fahlevi, Muhammad Reza;
Putri, Fetty Ade;
Indriani, Ulfah;
Mardiyah, Miftahul;
Andreansyah, Diaz
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa
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DOI: 10.30645/ijistech.v9i1.403
Post-Traumatic Stress Disorder (PTSD) is a serious mental health condition that can develop after an individual experiences a traumatic event. Early diagnosis of PTSD symptoms is crucial to prevent more severe psychological and social impacts. This study aims to develop a mobile-based expert system application that implements the Dempster-Shafer method to independently diagnose the confidence level of PTSD symptoms. The system is designed with three main components: biodata input, a symptom selection interface based on 9 indicator questions, and an inference engine utilizing the Dempster-Shafer method with a Likert scale to assess the severity of trauma experienced by respondents. Testing was conducted on 47 respondents, and the analysis results showed that 19.1% were in the safe category, 4.3% in mild PTSD, 12.8% in moderate PTSD, and 63.8% in severe PTSD. Validity testing indicated that all symptom items had correlation values (r-calculated) greater than 0.2876, confirming their validity, and the instrument’s reliability was measured at α = 0.806. The application is capable of providing an initial diagnosis along with recommended actions based on the severity level of PTSD. This study demonstrates that applying the Dempster-Shafer method in a mobile application offers an effective, efficient, and accessible alternative solution for early PTSD diagnosis, especially for individuals with limited access to professional mental health services.