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All Journal IT For Society : Journal of Information Technology
Rahadiyan, Deffa
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Computer Science & IT

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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.
Design and Implementation of Salary Slip Application with WhatsApp-based Distribution Alfarizky, Fakhruri; Bukhori, Iksan; Rahadiyan, Deffa
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.v9i2.5919

Abstract

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 and Implementation of a Web-Based Inventory Management with Offline Capability: A Case Study at PT.XYZ Abdila, Saidila Valenti; Galina, Mia; Rahadiyan, Deffa; Rachmat, Rudi Suhradi
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.v9i2.5918

Abstract

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.
Co-Authors Abdila, Saidila Valenti Adityo, Vincentius Al-Latief, Panji Maulana Alfarizky, Fakhruri Alifah, Nurli Bukhori, Iksan Humami, Miqdam Nugraha, Bagja Satya Rachmat, Rudi Suhradi Royan, Neil Sudrajat, Muhammad