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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 6 Documents
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Search results for , issue "Vol 9, No 1 (2024): Vol 9, No 1" : 6 Documents clear
SENTIMENT ANALYSIS OF STUDENT SATISFACTION TOWARDS DISTANCE LEARNING USING MACHINE LEARNING METHOD Andres, M; WanSen, Tjong; Roestam, Rusdianto
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.v9i1.5073

Abstract

The Covid-19 pandemic forces the entire societyto change their way of life. One of them is the process of face-to-face learning changing into distant learning. Various responsesarise from students during the implementation of this newsystem, both positive and negative, indicating the level of studentsatisfaction. The sentiment analysis of students' commentsduring distance learning was conducted using machine learningalgorithms and tools Rapid miner. Literature study shows thatthe Naive Bayes, K-NN, and Decision Tree algorithms have veryhigh 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. Positive93.80% and pred. negative 100.00%. The K-NN algorithm is92.49% and class precision for pred. positive is 92.37%, pred.negative 100%. The Decision Tree method is 90.81% with astandard deviation of (+-) 0.58 and class precision for pred.positive 90.81% and class pred. negative 0.00%.
Implementation of Driver Medical Check-Up Web-Based Application at Clinic PT. XYZ Indonesia Yapanto, Maura DM
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.v9i1.5074

Abstract

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.
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.
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.
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.
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.

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