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.
Implementation of Driver Medical Check-Up Web-Based Application at Clinic PT. XYZ Indonesia
The Clinic at PT XYZ Indonesia consistently implements Medical Check-Up for all workers, especially the drivers in charge of picking up employees. After carrying out the medical check-up driver process, the admin in managing and compiling patient data reports still uses a manual system. This causes delays in delivering information and reporting daily patient data. The purpose of this final project is to develop a web-based application that can make it easier for admin to carry out medical check-ups for drivers. This Final Project will be developed using the Rapid Application Development (RAD) method. Under these conditions, this web-based application for driver medical check-up will be developed using PHP 7 and MySQL database. This web-based application driver medical check- up will be equipped with several features, there are login, dashboards, doctors, patients, rooms, blood pressure, view medical records and download reports from medical records.
Web-Based Realtime Course Platform With Integrated Live Coding Interface
This paper explores an innovative technological approach to a programming education platform. The platform aims to enhance the learning experience by integrating web- based resources with real-time video communication and live coding. Utilizing a peer-to-peer connection framework, this method facilitates efficient and direct communication between instructors and learners, optimizing performance and reducing latency. The primary goal is to create a dynamic and collaborative learning environment. Through the integration of peer-to-peer video chat and an Integrated Development Environment (IDE), the platform aims to improve real-time communication, code reviews, and interactive problem-solving, providing learners with a profound programming learning experience.
BISINDO (Bahasa Isyarat Indonesia) Sign Language Recognition Using Deep Learning
Sign language recognition plays a crucial role in facilitating communication for individuals with hearing impairments. This paper presents a deep learning-based approach for recognizing Bahasa Isyarat Indonesia (BISINDO), the sign language used in Indonesia. The proposed system employs convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to automatically extract features from sign language gestures and classify them into corresponding linguistic units. The dataset used for training and evaluation consists of annotated BISINDO sign language videos. Preprocessing techniques such as normalization and augmentation are applied to enhance the robustness of the model. Experimental results demonstrate the effectiveness of the proposed approach in accurately recognizing BISINDO sign language gestures, achieving state-of-the-art performance compared to existing methods. The developed system shows promising potential for real-world applications in enhancing communication accessibility for the hearing-impaired community in Indonesia.
AUTOMATION WORK ORDER AND MASTER PRODUCTION SCHEDULE IN ENTERPRISE RESOURCES PLANNING FOR PT SFP
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.
Artificial Intelligence in Healthcare: Opportunities, Challenges, and Ethical Considerations
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.
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Developing an Inclusive Information System Interface: The Design of an Accessible Bus Information Board Using Ergonomic and Visual Communication Principles
SENTIMENT ANALYSIS OF STUDENT SATISFACTION TOWARDS DISTANCE LEARNING USING MACHINE LEARNING METHOD
The Covid-19 pandemic forces the entire society to change their way of life. One of them is the process of face-to- face learning changing into distant learning. Various responses arise from students during the implementation of this new system, both positive and negative, indicating the level of student satisfaction. The sentiment analysis of students' comments during distance learning was conducted using machine learning algorithms and tools Rapid miner. Literature study shows that the Naive Bayes, K-NN, and Decision Tree algorithms have very high accuracy, so this research uses those methods to get high- accuracy results. The research shows the following results; Naive Bayes is 93.80% and class precision for pred. Positive 93.80% and pred. negative 100.00%. The K-NN algorithm is 92.49% and class precision for pred. positive is 92.37%, pred. negative 100%. The Decision Tree method is 90.81% with a standard deviation of (+-) 0.58 and class precision for pred. positive 90.81% and class pred. negative 0.00%.
Implementation of QR Code Scanner System to Classify the Frequency Testing of Incoming Part and Part Number Location Tracker Using Mobile Application
Design and Build of a Learning Management System Application as a Learning Medium at the Secretariat General of the Indonesian House of Representatives
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.
Research and Implementation of University Student Union Management System Driven by Informatization and Automation
Taking this paper makes a detailed analysis and research on the student workflow based on SSM. First, from the point of view of software engineering, combined with the characteristics of software systems, software engineering analysis and design. Then, based on the introduction of SSM architecture, combined with Java technology and related development tools, the system implementation process is described in detail. Experimental results show that the system has high efficiency and quality. Firstly, the requirements of the system are analyzed, and the main functions and implementation process are determined. On this basis, the overall structure of the system is proposed, and the functions of each module are divided and processed. Then, the database management system based on MySQL is applied to backstage database, and the system is programmed by IDEA development tool. After the system design is completed, the system is tested in detail. The experiment proves that the system can realize the automation and management of students' working process effectively.
Hak Cipta (c) 2024 IT for Society http://creativecommons.org/licenses/by-nc-sa/4.0
Design And Build Web-Base Application Library Management System
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.
PREDICTIVE ANALYTICS APPLICATION TO IMPROVE OVERALL EQUIPMENT EFFECTIVENESS (OEE) USING MACHINE LEARNING
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.
Chatbot for Mental Health Using Tf-Idf and SVM
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.
Gamification System to Improve Student Learning Motivation: A Case Study in President University
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.
Design and Implementation of a Web-Based Inventory Management with Offline Capability: A Case Study at PT.XYZ
Abstract- Traditional inventory management systems encounter substantial difficulties in production settings with restricted IT infrastructure and stringent reliability demands. This study proposes the creation of a web-based inventory management system employing the LAMP (Linux, Apache, MySQL, PHP) stack to resolve machine spare parts stock management challenges that often lead to production downtime owing to limited internet connection in industrial environments. The system is additionally enhanced via the XAMPP framework. The tool facilitates stock data administration, documentation of arriving and outgoing items, tracking of item requisitions, and automated alerts for minimum stock levels or stock depletion, all without necessitating internet connectivity. Field installation results illustrate the system's ability to oversee inventory in real-time offline, produce automated reports (PDF and Excel). System testing employed White Box Testing (WBT) to validate functionality and performance, demonstrating an average response time of under 1 second per data enter and effortless report output to PDF/Excel formats for subsequent analysis. The test showed that the WBT achieved a 100% success rate, confirming that all functions operated as anticipated, and the data can be updated promptly, and providing a dependable inventory management solution for industrial settings with restricted internet connectivity. This research enhances realistic and adaptive inventory systems designed for manufacturing sectors.
Design and Implementation of Salary Slip Application with WhatsApp-based Distribution
Abstract- XYZ Company is a company engaged in services. The first problem is the security of pay slip data. Currently, pay slips are made based on Microsoft Excel data that can be accessed by anyone, even if the person concerned is not an authorized officer. The next problem is the timing of payroll. XYZ Company supplies employees to 18 companies. Thus, the timing of employee payroll is different from one another, depending on the company where the employee works. Currently, payroll is divided into several different dates, namely on the 25th, 30th, 5th and 10th of each month. After the payroll process is complete, it is followed by making pay slips and distributing the pay slips. Making and distributing pay slips is inefficient if done using conventional methods. In this research, an automatic salary generation and distribution system is built using a Python-based program as a programming container, JasperReports as an automatic salary slip report generation and WhatsApp as a medium for distributing salary slips. Based on the results of the tests that have been carried out, the application built can reduce the processing time for 1 person by 47 seconds or 71.64% to 4 people by 4 minutes 24 seconds or 93.27%. The more payslips that are created and distributed, the greater the time savings. This shows that the automatic system application is more efficient in making and distributing pay slips than conventional methods. The application made also has a security feature where the application can only be accessed by users, the system cannot be accessed if the user does not have a username and password.
Design of Web-based Monitoring System to Measure Overall Equipment Effectiveness (OEE) on Steel Wire Drawing Machine
Â Abstract-Optimizing production effectiveness is vital for competitiveness in modern manufacturing. One approach to minimizing waste is known as the Six Big Losses. A key tool for identifying these losses and assessing production efficiency is Overall Equipment Effectiveness (OEE), which requires complete and reliable data for accurate calculation. This study presents a web-based OEE monitoring prototype using automated data recording and processing, tested on a steel wire drawing machine at XYZ LLC. The system incorporates an inductive proximity sensor, pulse meter, counter meter, and a PC, with Node-RED handling data collection and transmission to a server for real-time visualization. Testing showed 100% accuracy in speed measurement and product counting, with an average latency of 415.55ms. OEE values slightly decreased from 55% (manual recording) to 53.5% (automated). The prototype effectively delivers accurate, real-time OEE data with an interactive interface, showcasing its potential for manufacturing applications.
Effects of AI Image Generator Application on Student Cognitive Load in Design Studies
AI image generator applications have been widely developed for various purposes in the process of creating fine arts and designs. One of them, OpenArt, provides a facility to develop sketch images into realistic images. This study aims to examine the effect of using this facility on students' mental burden in presenting ideas into realistic chair designs. Fourteen interior design students were involved in this study. The experimental method was used, where they were asked to work on the design of a lounge chair through the stages of sketching manually and with OpenArt. From the two steps of work before and after using this AI application, students were asked to fill out a questionnaire regarding the mental burden they felt. With descriptive data analysis, the experiment showed that OpenArt had a positive effect in helping to reduce students' mental burden in translating ideas into realistic images of chair designs. From these results, it can be concluded that this AI application is considered useful for the design learning process, especially in helping students substantially realize their original ideas without having to be burdened by the mind to work on technical visualization matters alone.
Web-Based Chatbot Application for Customers at Banking Company, Case Study: PT XYZ
OPTIMIZING NETWORK INTRUSION DETECTION USING A RANDOM FOREST AND XGBOOST CLASSIFIER TO PREDICT ANOMALY ACTIVITY
Integration of Interior Design and IoT for Adaptive Lamp Ambience: An ESP32-Based Approach
Designing Immersive Virtual Interior Spaces: A System Analysis of a VR Classroom Interaction Prototype Using Unity XR Interaction Toolkit
Creative Design Website to Enhance Visual Branding and Client Engagement: A Case Study at Hillary.co
AUTO EMAIL RECOMMENDATION & PREDICTION USING MACHINE LEARNING
Automated Goods Tracking System: Enhancing Accuracy, Efficiency, and Real-Time Data Integration
Advancing Internet Cafe Operations and Customer Engagement through the "Game Station" Website
Development of an Interactive Educational Mobile Application Using Flutter for Early Childhood Learning Age 3 to 5 “Senang”
Hak Cipta (c) 2025 IT for Society http://creativecommons.org/licenses/by-nc-sa/4.0
Plant Monitoring System using Raspberry Pi