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IT For Society : Journal of Information Technology
Published by President University
ISSN : 25032224     EISSN : 2527595X     DOI : 10.33021
Core Subject : Science,
Computer Science & IT
IT For Society (ISSN 2503-2224); E-ISSN 2527-595X) is a biannual peer-reviewed journal published by President University. The journal has a scope relevant and related (but not limited) to information technology and information system.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 104 Documents
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Design And Build Web-Base Application Library Management System Tengfei, Li; Jie, Zhang; Fahmi, Hasanul
IT for Society Vol 9, No 2 (2024)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v9i2.5743

Abstract

At present, most of China's higher education institutions have completed the computerization of library management, and library management is more scientific and efficient. However, many university library management systems have some problems, such as outdated functions, aging systems and unstable operation. In this paper, the authors designed a library management system. Under the Javaweb environment, the whole system is built using SpringMVC framework, MySQL database as the data storage support of the system, Windows 10 as the operating system, and Tomcat 8.0 as the web server. With the help of this technology stack, the problem of unstable operation of the previous system is solved, and a more efficient and stable library management information system is constructed, which not only reduces the workload of librarians, but also provides students with a more convenient book borrowing and lending experience, so that the library can play the most useful role in the campus life.
AUTOMATION WORK ORDER AND MASTER PRODUCTION SCHEDULE IN ENTERPRISE RESOURCES PLANNING FOR PT SFP Reka, Nadia Revina
IT for Society Vol 9, No 1 (2024): Vol 9, No 1
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v9i1.5075

Abstract

In today's dynamic business landscape, manufacturing enterprises like PT SFP face the constant challenge of optimizing their production processes to remain competitive. The Enterprise Resources Planning (ERP) architecture will be used to develop an integrated solution to automate work order administration and master production scheduling. The production and planning division is a very important process and is interconnected with one another. Since manufacturing is the most demanding business process in a company's activities, the significance of the planning system is greatly raised. Even though the company already has an ERP system that is quite integrated, there are still many processes that are still carried out offline which causes manual inefficiency, this not only increases waiting time but can also cause anomalies. This project provides ERP development ideas, especially in the Production and Planning module for PT SFP by implementing automation and integration in the work order planning workflow to improve business processes. It includes the business process of creating Order Confirmation (OC) Receiving Date Input, and automation of planning work order creation, usage standards in the work order and the work order itself. This system is expected to be more effective and efficient in the field of production planning using ERP web-based that can be accessed online.
Pre-Order Food System for UNITARIANS Al-Umyrah, Al-Umyrah; Ashvinie, Natalie Elixha; Kejendran, Yuvatarishinie
IT for Society Vol 9, No 2 (2024)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v9i2.5744

Abstract

This Pre-Order Food System for UNITARIANS was created to address common problems experienced by UNITAR student and staff, mainly during peak hours like before break time around 12:30noon to 2:30pm, where long queues and waiting times can disturb their schedules. This platform presents a user-friendly by letting users to login, browse a menu on the menu page, place pre-orders for food and drinks which in this process user need to enter their information, select a suitable pickup time, and make payments either online or cash. A few of user information will be saved inside the database and will be stored safely.
BISINDO (Bahasa Isyarat Indonesia) Sign Language Recognition Using Deep Learning Setiawan, Ricky; Yunita, Yustina; Rahman, Fajri Fathur; Fahmi, Hasanul
IT for Society Vol 9, No 1 (2024): Vol 9, No 1
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v9i1.5076

Abstract

Sign language recognition plays a crucial role infacilitating communication for individuals with hearingimpairments. This paper presents a deep learning-basedapproach for recognizing Bahasa Isyarat Indonesia (BISINDO),the sign language used in Indonesia. The proposed systememploys convolutional neural networks (CNNs) and recurrentneural networks (RNNs) to automatically extract features fromsign language gestures and classify them into correspondinglinguistic units. The dataset used for training and evaluationconsists of annotated BISINDO sign language videos.Preprocessing techniques such as normalization andaugmentation are applied to enhance the robustness of themodel. Experimental results demonstrate the effectiveness of theproposed approach in accurately recognizing BISINDO signlanguage gestures, achieving state-of-the-art performancecompared to existing methods. The developed system showspromising potential for real-world applications in enhancingcommunication accessibility for the hearing-impairedcommunity in Indonesia.
E-Wallet for UNITARIANS Kai, Soh Ze; Azhari, Mohammad Hazim
IT for Society Vol 9, No 2 (2024)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v9i2.5745

Abstract

This E-Wallet for UNITARIANS was focused on to user friendly, the platform it’s easy to understand and using it, by browsing menu page, transfer, recharge and pay. Also, it has peer-to-peer features, users can send money directly to one another just using their matric number. In this platform, had a simple checkout flow for user to make payments and transfers, it will make user to do a few steps to complete the transaction.
Web-Based Realtime Course Platform With Integrated Live Coding Interface Chenartha, Reinald; Safitri, Cutifa
IT for Society Vol 9, No 1 (2024): Vol 9, No 1
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v9i1.5077

Abstract

This paper explores an innovative technologicalapproach to a programming education platform. The platformaims to enhance the learning experience by integrating web-based resources with real-time video communication and livecoding. Utilizing a peer-to-peer connection framework, thismethod facilitates efficient and direct communication betweeninstructors and learners, optimizing performance and reducinglatency. The primary goal is to create a dynamic andcollaborative learning environment. Through the integration ofpeer-to-peer video chat and an Integrated DevelopmentEnvironment (IDE), the platform aims to improve real-timecommunication, code reviews, and interactive problem-solving,providing learners with a profound programming learningexperience.
Chatbot for Mental Health Using Tf-Idf and SVM Rahadiyan, Deffa; Sudrajat, Muhammad; Nugraha, Bagja Satya; Royan, Neil; Alifah, Nurli; Adityo, Vincentius; Al-Latief, Panji Maulana; Humami, Miqdam
IT for Society Vol 9, No 2 (2024)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v9i2.5746

Abstract

This research aims to develop a chatbot for mental health by using the term frequency-inverse frequency (Tf-Idf) technique to represent text and support vector machines (SVM) for classification. This chatbot is designed to provide support and information to users seeking help with mental health issues. The dataset used to train the model includes mental health-related conversations, including conversations between mental health professionals and patients, as well as general conversations about mental health. The chatbot interface allows users to input their questions or concerns, which are then processed using Tf-Idf to vectorize the text data. These features are fed into an SVM model for classification, determining the appropriate response type, such as depression, anxiety, or general advice. Chatbot responses are generated based on the classification results, providing relevant information and support to the user. Chatbots are deployed on a platform where users can interact with them, and their performance is evaluated using metrics such as accuracy, precision, gain, and F1 score.
Artificial Intelligence in Healthcare: Opportunities, Challenges, and Ethical Considerations Purwoko, Reza Yuridian; Alfaqih, Muhammad Subhan
IT for Society Vol 9, No 1 (2024): Vol 9, No 1
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v9i1.5816

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in healthcare, offering innovative solutions for diagnostics, treatment planning, and patient monitoring. This paper explores the current state of AI applications in health, focusing on its potential to improve patient outcomes, enhance healthcare delivery, and address ethical and governance challenges. Drawing from a comprehensive review of recent literature and case studies, we discuss the role of AI in areas such as medical imaging, predictive analytics, personalized medicine, and public health surveillance. We also highlight the importance of ethical considerations, data privacy, and the need for international collaboration in AI governance. The paper concludes with recommendations for future research and policy development to ensure the responsible and effective use of AI in healthcare.
Gamification System to Improve Student Learning Motivation: A Case Study in President University Juwono, Ronny; Almi, Raihan
IT for Society Vol 9, No 2 (2024)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v9i2.5828

Abstract

Abstract— Student engagement is a crucial factor influencing learning outcomes in both traditional and modern education systems. Traditional approaches often struggle to sustain high levels of motivation and participation, particularly when students have diverse interests and learning preferences. This study explores the integration of a gamification system into the learning process to enhance student engagement at President University. The proposed system comprises three core components: (1) a Gamification App (Android & iOS) designed for students, incorporating game mechanics such as points, leaderboards, and rewards; (2) a Gamification Web Portal, which serves as an administrative bridge to the President University Information System (PUIS); and (3) the Academic Information System (PUIS) itself, providing real-time academic data. By leveraging gamification principles within a mobile-first approach, the system aims to make learning more interactive and rewarding. This paper presents the design and implementation of the gamification framework, with an ongoing evaluation to assess its impact on student engagement, motivation, and academic performance. Initial findings indicate that mobile gamification can effectively enhance participation, foster a sense of achievement, and create a more dynamic learning environment.
PREDICTIVE ANALYTICS APPLICATION TO IMPROVE OVERALL EQUIPMENT EFFECTIVENESS (OEE) USING MACHINE LEARNING Ginanjar, Rikip; Karamoy, Calvary
IT for Society Vol 9, No 2 (2024)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v9i2.6181

Abstract

Page 9 of 11 | Total Record : 104

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