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Journal of Intelligent Systems and Information Technology
Published by Apik Cahaya Ilmu
ISSN : -     EISSN : 30465001     DOI : https://doi.org/10.61971/jisit
Core Subject : Science, Engineering,
Computer Science & IT Engineering
Journal of Intelligent Systems and Information Technology (JISIT) focuses on providing scientific articles related to Intelligent Systems and Information Technology, which are developed by publishing articles, research reports and reviews. Journal of Intelligent Systems and Information Technology (JISIT) accepts scientific articles in the field of research: Artificial Intelligence, Data Mining, Text Mining, Web Mining, Machine Learning, Deep Learning, Natural Language Processing (NLP), Social Network Analysis, Expert system, Decision Support System, Computer Network Security related AI, Image processing, Computer Vision, Big Data, and related fields
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 6 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2024): January" : 6 Documents clear
Enhancing Project-Based Learning in STEM Education with Integrated Technology and Coding Kurniawan Arif Maspul
Journal of Intelligent Systems and Information Technology Vol. 1 No. 1 (2024): January
Publisher : Apik Cahaya Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61971/jisit.v1i1.20

Abstract

This extensive study explores the advantages and significance of incorporating technology and coding into project-based learning to improve STEM education. This integration improves students' learning experiences by encouraging computational thinking, problem-solving ability, and creativity. Collaborative coding projects promote interdisciplinary learning and a thorough comprehension of multiple subjects, while online resources and self-paced learning platforms enable students to study coding outside of the classroom. Educators can design meaningful learning experiences that match technology use with learning objectives and stimulate social connections and cooperation by embracing theories such as constructivism, TPACK, and social constructivism. Inquiry-based learning, project-based learning, and self-regulated learning are all strategies that promote student engagement and learning in integrated technology and coding. Providing resources, professional development opportunities, and technical support systems promotes in efficient implementation. Educators may develop engaging project-based learning experiences that equip students with necessary skills for the future by embracing creative techniques and incorporating technology and coding.
Optimization of Information Technology Through Intelligent System Integration : Comprehensive Exploration Yuniana Cahyaningrum
Journal of Intelligent Systems and Information Technology Vol. 1 No. 1 (2024): January
Publisher : Apik Cahaya Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61971/jisit.v1i1.25

Abstract

In the era of digital transformation, intelligent system integration is the main capital for optimizing the use of information technology. This article provides a comprehensive exploration to explore how intelligent system integration forms a strong foundation for changing the outlook of information technology. The main focus of this article is utilization in operational efficiency, smarter decision making, and product and service innovation. The basic concept of intelligent system integration is explained by providing an explanation of how artificial intelligence and information technology can interact synergistically. This article also discusses the role of artificial intelligence in improving the functionality of information systems and its positive impact on decision making. The benefits of intelligent system integration in increasing operational efficiency can be explained through the automation of tasks performed, increased productivity through faster data processing, and reduced human errors. This article also shows how intelligent system integration supports better decision making through in-depth and accurate data analysis. Additionally, this article discusses how intelligent system integration drives innovation in products and services. As input for future development, this article provides an in-depth overview of intelligent system integration trends that contribute to the optimization of information technology, by opening the door to an era of innovation and greater efficiency.
Web-Based Pharmacy Cashier Application Development Design Murni Marisma; Feri Wibowo; Lahan Adi Purwanto; Achmad Fauzan
Journal of Intelligent Systems and Information Technology Vol. 1 No. 1 (2024): January
Publisher : Apik Cahaya Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61971/jisit.v1i1.26

Abstract

The cashier system at Arca Mandiri Pharmacy still uses manual transaction recording services; namely, the cashier uses recording transaction calculations in the sales transaction logbook and manually records drug stock in the drug stock book. This results in less effective and efficient recording of transactions and the stock of medicinal goods. Facilities and services to cashiers are expected to be provided more effectively and efficiently using a web-based cashier application so that it will improve service in transactions for customers. The system development method used is a waterfall model approach with four stages, namely analysis, design, code, and testing. The web-based cashier application implementation model allows the system to be used by cashiers and administrators with its advantages, namely automatically calculating the total amount of drug order prices in sales transactions, stock calculations, and routine transaction reports. The Cashier Application implemented at the website-based Arca Mandiri Pharmacy helps facilitate sales transactions, processing drug stock data, and printing reports that can be done quickly so that it is more efficient and effective in service.
Color Detector in an Image using Python and Computer Vision Library Dicky Ardianto; Arif Tri Widiyatmoko
Journal of Intelligent Systems and Information Technology Vol. 1 No. 1 (2024): January
Publisher : Apik Cahaya Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61971/jisit.v1i1.27

Abstract

This research explores the implementation of a color detection system in images using the Python programming language and the Computer Vision library. The primary aim is to enhance the accuracy and efficiency of color detection, a critical component in the realm of automated systems and artificial intelligence. Leveraging Python's versatility and the specialized features of the Computer Vision library, the study conducts experiment to evaluate the proposed system's reliability across diverse image contexts and lighting conditions. The literature review encompasses fundamental color detection concepts, recent advancements in Computer Vision, and practical applications from prior relevant research. The anticipated outcome of this research is a substantial contribution to advancing our understanding of color detection within image processing, with potential implications for a more reliable and widely applicable system
Use Of Sosial Media Youtube For Collaborative Learning Indry Ayu Lestary
Journal of Intelligent Systems and Information Technology Vol. 1 No. 1 (2024): January
Publisher : Apik Cahaya Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61971/jisit.v1i1.29

Abstract

The goals of this paper is analyze and evaluate of design instructional video content on the performance of students in collaborative learning methods. Design of video content used the research 3 models are video slides, props and explanations lecturer, tested to student. Using the concept of TAM, visible results from the ease and understanding of the students learning process. Results of the analysis is a video tutorial uses props learning can provide a different effect on the improvement of student learning outcomes than the use of video learning using slides and video that explain the material just same as usual.
Performance Optimization of Document Clustering for Harry Potter Series Comments using Cosine Similarity Firza Septian; Arief Zikry; Nina Dwi Putriani
Journal of Intelligent Systems and Information Technology Vol. 1 No. 1 (2024): January
Publisher : Apik Cahaya Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61971/jisit.v1i1.30

Abstract

This research delves into the distinctive realm of comment clustering, focusing on the extensive discourse generated by the Harry Potter series. Leveraging a dataset from Kaggle, the study aims to optimize document clustering using cosine similarity within the K-Means algorithm. The research addresses the nuanced dynamics of sentiment and preferences within the Harry Potter fan community. A comprehensive methodology involves data collection, preprocessing, TF-IDF initialization, K-Means clustering with varying distance metrics, and result evaluation. The dataset of 491 respondents unveils diverse gender, geographical, and age distributions, adding complexity to the analysis. The K-Means clustering results highlight predominant positive sentiment, emphasizing the enduring popularity of the series. The study's originality lies in its focus on the Harry Potter cultural phenomenon, contributing to sentiment analysis and fan engagement discourse. The implications extend to researchers, practitioners, and enthusiasts seeking a deeper understanding of online discussions surrounding iconic media franchises.

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