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Journal of Information Systems and Technology Research
Published by Ali Institute of Research and Publication
ISSN : 28283864     EISSN : 28282973     DOI : https://doi.org/10.55537/jistr
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
JISTR is a periodical journal that aims to provide scientific literature, especially applied research studies in information systems (IS) / information technology (IT), and an overview of the development of theories, methods, and applied sciences related to these subjects Focus and Scope Artificial intelligence Autonomous reasoning Bio-inspired algorithms Bio-informatics Cloud computing Data science Data mining Data visualization Decision support systems Deep learning Evolutionary computation Fuzzy logic Human-Computer Interaction Hybrid intelligent systems, Adaptation and Learning Systems IoT and smart environments Knowledge mining Machine learning Neural networks Pattern recognition Soft computing Prediction systems Signal and image processing System modeling and optimization Time series prediction Web intelligence
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 3 No. 3 (2024): September 2024" : 5 Documents clear
Data Security Techniques Using Vigenere Cipher And Steganography Methods In Inserting Text Messages In Images Smith, Vincent; Mendoza, Maximilian; Ullah, Insaf
Journal of Information Systems and Technology Research Vol. 3 No. 3 (2024): September 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i3.867

Abstract

Improving data security has become a top priority in many industries, especially when it comes to sending and receiving private communications. Embedding text into photos using steganography and the Vigenere Cipher Method is one method of protecting text messages. In order to maintain the security of text embedded in images via web-based applications, the main challenge in this research is how to integrate and apply the Vigenere Cipher algorithm and LSB steganography while still paying attention to the size of the image message that has been ciphertexted. insertion and what not. Combining these two techniques aims to increase the level of security when encrypting message text. The message text is encrypted using the Vigenere Cipher to protect it; Encrypted messages are difficult to decipher without the right key. Meanwhile, message text may be hidden visually in photos using steganography. Text messages are efficiently disguised in images and significantly encrypted thanks to the combination of these two techniques. In this research, steganography and Vigenere Cipher techniques are used and tested on various types of images. The combined use of these two techniques effectively improves data security, according to test results. The study also discusses a number of possible defenses, such as image size and quality, that may arise from combining the two approaches. The findings of this research can be applied to improve the security of text messages in various contexts, such as online communications and data storage. Through the integration of steganography and Vigenere Cipher technology, users can guarantee the confidentiality of their communication texts and prevent unapproved access.
Designing an Online Sales System Using a Website Hanum, Latifah; Nasyuha, Asyahri Hadi; Irawati, Novica; Siregar, Yustria Handika
Journal of Information Systems and Technology Research Vol. 3 No. 3 (2024): September 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i3.897

Abstract

The rapid advancement of technology has significantly influenced the business landscape, pushing traditional businesses to adopt digital platforms to reach broader markets. This research focuses on the design and development of an online sales system (e-commerce) for Coffe ShopSipirok, a coffee shop looking to expand its market presence through a dedicated website. The e-commerce system is designed to enhance customer convenience, streamline purchasing processes, and provide detailed product information, ultimately aiming to increase sales and customer satisfaction. The development process includes requirements analysis, system design, implementation, and testing to ensure the website meets user needs and functions efficiently. The website features a user-friendly interface, secure payment gateway, and a responsive design adaptable to various devices. The implementation of this system not only improves the accessibility of Coffe Shop Sipirok's products but also positions the business competitively within the digital marketplace. Future work will involve continuous system upgrades and integration with advanced features such as customer feedback mechanisms and data analytics to further optimize the online shopping experience.
Direct implementation of AI-Based Facial Recognition for ITSI students Prayogi, Andi; Navea, Roy Francis; Dian, Rahmad; Pane, Muhammad Akbar Syahbana; Siregar, Ratu Mutiara; Sugianto, Raden Aris; Simbolon, Hasanal Fachri Satia
Journal of Information Systems and Technology Research Vol. 3 No. 3 (2024): September 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i3.898

Abstract

The development of artificial intelligence (AI)-based facial recognition technology has become a significant research topic in the field of computing and security. At the Indonesian Palm Oil Institute (ITSI), AI-based facial recognition is introduced to students to improve their skills in developing AI-based applications. This study aims to implement and test a facial recognition system using a Python program by utilizing a dataset generated independently. This research method involves several stages, namely collecting ITSI students' facial data, data processing, creating a facial recognition model using a machine learning algorithm, and evaluating model performance. The dataset used was developed through a live shooting session involving active student participation. The facial recognition model was trained using a convolutional neural network (CNN) algorithm that was optimized to improve accuracy. The results of the study showed that the developed model was able to achieve high facial recognition accuracy, with an average accuracy rate of 92%. The discussion includes an analysis of factors that affect accuracy, such as variations in lighting and shooting angles, as well as the potential use of this technology in a campus environment, including for attendance and security purposes. The conclusion of this study shows that the implementation of AI-based facial recognition can be effectively applied in an academic environment, as well as providing students with practical experience in developing and testing AI applications. This study also opens up opportunities for further research on improving the performance of facial recognition systems and their application in various real-world scenarios.
Innovative Integration of Computer Network Technology in Modern Educational Systems Sain, Zohaib Hassan; Loupias, Henry H; Susanti, Rini Ayu; Serban, Razvan; Thelma, Chanda Chansa
Journal of Information Systems and Technology Research Vol. 3 No. 3 (2024): September 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i3.902

Abstract

A novel educational system has been developed using the Radial Basis Function (RBF) algorithm to address the limitations of traditional classroom environments, which often rely on standardized material and fixed teaching methods. This research assesses recent advancements in interactive intelligent education systems by combining Artificial Intelligence (AI) with interactive teaching methods. A model based on cognitive functions is constructed using the RBF algorithm to personalize instructional approaches and foster a self-directed learning platform. The research methodology involves a comprehensive literature review, developing an Education Intelligent System (EIS) using AI-driven cognitive modelling, and the implementation of the RBF algorithm within a neural network architecture. The system's effectiveness is evaluated through empirical methods, including extensive data analysis and continuous refinement based on student performance feedback. Additionally, a network topology model is designed to enhance the system's adaptability for different roles within the educational framework. The results show significant improvements in instructional effectiveness, learner engagement, and personalized learning experiences. This research demonstrates that AI and interactive technologies can revolutionize conventional educational methods, enhance learner proficiency, and cultivate a more dynamic and engaging learning environment. Future work aims to improve the system's user interface and analyze larger datasets to refine the AI algorithms further.
Systematic Survey Analysis of the Application of Artificial Intelligence Base Network on Grid Computing Techniques Nerat Jakawa, Jimmy; Gonten, Fidelis; Emmanuel, Datti Useni; Pandok, Dakur Atiku; Maikano, Ponfa Canfa
Journal of Information Systems and Technology Research Vol. 3 No. 3 (2024): September 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i3.908

Abstract

A smart grid is a contemporary electrical system that supports two-way communication and utilizes the concept of demand response. In order to increase the smart grid's dependability and enhance the consistency, efficiency, and efficiency of the electrical supply, stability prediction is required. The true test for smart grid system designers and specialists will therefore be the increase of renewable energy. With the goal of integrating the electric utility infrastructure into the advanced communication era of today, both in terms of function and architecture, this program has achieved great strides toward modernizing and expanding it. In this study, researchers used the Systematic literature review method which identifies, evaluates and interprets all relevant research results related to certain research questions, certain topics, or phenomena of concern.  The study review on how a smart grid applied different deep learning techniques and how renewable energy can be integrated into a system where grid control is essential for energy management. The article discusses the idea of a smart grid and how reliable it is when renewable energy sources are present. Globally, a change in electric energy is needed to reduce greenhouse gas emissions, prevent global warming, reduce pollution, and boost energy security.

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