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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 5 Documents
 1 
Search results for , issue "Vol 8, No 1 (2023)" : 5 Documents clear
Implementation of AI Chatbot Application for Social Anxiety Problem Melisa Dewi; Hasanul Fahmi
IT for Society Vol 8, No 1 (2023)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v8i1.4662

Abstract

The past decade has witnessed the rapid development of Artificial Intelligence (AI)[1]. AI nowadays, are becoming more popular and integrated in every aspect of the world. Using Ai chatbot as a companion partner has been a thing since a few years ago, but with the development of AI, it is possible to inject personality into those chatbots now. With the increasing growth of social anxiety issues, it is possible to implement AI chatbot as a way to train social skills into people. Past researches have already created a chatbot that is solely for the purpose of depression in a one-on-one chatting environment. In order to create a working training regime, it is necessary to give the user the ability to change from a fully AI environment to slowly integrate with humans. The present paper considers the ability of personality trained AI chatbots and environment as a way to help people learn to socialize. This research aims to help provide a cheaper and reliable alternative for therapists by using AI chatbots as a guide for socially anxious people.
Design and Implementation of a Web-Based Delivery Service for President University: A Case Study of President's Pick-Up Dustin Mareo Istanto; Farhan Ali Ramadhan; Farhan Alwanda
IT for Society Vol 8, No 1 (2023)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v8i1.4723

Abstract

The advent of web-based delivery services has brought about a revolutionary change in the transportation of packages and documents, offering unprecedented convenience and efficiency to users. In line with this trend, President's Pick-Up, a dedicated platform implemented with PHP and MySQL, emerged to cater to the package delivery needs of President University students. This thesis investigates the impact of President's Pick-Up as a web-based delivery service on user satisfaction, efficiency, and speed of package delivery within the President University community. Leveraging the power of PHP and MySQL, President's Pick-Up provides a user-friendly website platform for students to conveniently send packages to different dormitories on campus. The research evaluates the effectiveness of President's Pick-Up in meeting user needs, tracking package deliveries in real-time, and enhancing the overall package delivery experience for students. The study contributes valuable insights into PHP and MySQL-driven web-based delivery services and aims to guide future improvements in similar platforms catering to academic institutions.
Development of Marketplace Product Data Mining and Analysis Application as a Reference in Running a Business Joseph TN Wibawa; Randy Gunawan; Marchelleo Suhandi; Ricky Setiawan
IT for Society Vol 8, No 1 (2023)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v8i1.4724

Abstract

Marketplaces has become the first choice as a third party that provides online selling and payment services that bridge sellers and buyers. The increasing need to shop in an efficient and convenient way has driven the popularity of using the marketplace. Moreover, with a variety of products and a fast transaction process, and more competitive prices, the use of the marketplace has shown significant growth in activity by the wider community. With the increasing use of marketplaces, data analysis from marketplaces is becoming a key element to understand market trends and make informed transaction decisions. Data analysis systems based on bot technology and Web-Scrapping libraries, such as Puppeteer, allow users to perform data analysis more efficiently and quickly, minimize the need for a data analysis team, and reduce time and costs. Given these factors, this research focuses on developing a web-based application that can analyze data coming from marketplaces and present it to users quickly and accurately.
Local Web Based Internal Corporate Meals Request System With Email Approval Using ASP.Net MVC Williem Williem; Amroh Lutfiah Adila
IT for Society Vol 8, No 1 (2023)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v8i1.4727

Abstract

Indonesia is one of the countries with the largest manufacturing industry in the world. Manufacturing companies in Indonesia have many workers who work hand in hand to build a better industry with meetings, training, kaizen, and others. The activities of the company require a consumption ordering system to support the sustainability of the activities of the manufacturing company. Most manufacturing companies still use a manual ordering system, namely by filling out the order form with Microsoft Excel and calling the canteen vendor who takes care of ordering food to order via WhatsApp message to the email. This causes a lot of time wasted on ordering food, late billing, to over budget which makes the company must spend more funds than before. Therefore, this final project discusses the creation of a website-based consumption ordering system application with an approval feature through email, which is expected to help overcome problems that have been occurring in manufacturing companies. So that the consumption ordering process can be well integrated, systematic, and reduce the possibility of errors that occur to cause losses.
Utilization of GPT-4 to Improve Education Quality Through Personalized Learning for Generation Z in Indonesia Muhammad Fatihul Firdaus; Joseph Nugraha Wibawa; Fajri Fathur Rahman
IT for Society Vol 8, No 1 (2023)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v8i1.4728

Abstract

The Golden Generation or Generation Z, an  important part of the 2020-2035 demographic bonus, will face  unique educational challenges, such as low literacy rates and  uneven access to technology across regions[1]. To support the  potential implementation of personalized learning for  Generation Z in Indonesia, a research study was conducted to  investigate the potential use of GPT-4, an artificial intelligence  that uses the GPT language model and the latest Natural  Language Processing (NLP) technology. Quantitative,  qualitative, and literature study research methods were used to  evaluate the effectiveness and accuracy of GPT-4 in the  Indonesian educational context. Data was collected from  sample testing and reference to previous GPT-4 research, and  results were analyzed using predefined evaluation methods.  The results of the analysis showed that there was an  improvement in terms of coherence and knowledge with the  GPT-4 model compared to previous models. To maximize the  potential of GPT-4 in education, there needs to be strong  support from various parties, as well as efficient adaptation to  the specific needs of students and the educational environment  in Indonesia [2]. With an integrated approach, ethics, and  safety, GPT-4 has the potential to support inclusive and  effective education for Generation Z in Indonesia.

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