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All Journal TIN: TERAPAN INFORMATIKA NUSANTARA Data Sciences Indonesia (DSI) Jurnal Media Teknik Elektro dan Komputer
Syahputri, Rifdah
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Hajj Service User Feedback Information System at The Office of The Ministry of Religion of The Deli Serdang District Based on Web Syahputri, Rifdah; Kartika Dewi, Aulia
Jurnal Media Teknik Elektro dan Komputer Vol 1 No 2 (2024): Jurnal Media Teknik Elektro dan Komputer
Publisher : Yayasan Pendidikan Al-Yasiriyah Bersaudara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1307/metrokom.v1i2.78

Abstract

Quality Hajj services are essential to the pilgrims' experience, and feedback management is one way to improve that quality. This research was conducted at the Hajj Section of the Office of the Ministry of Religious Affairs of Deli Serdang Regency, which faces obstacles in monitoring and evaluating services due to the absence of a structured system for managing pilgrims' feedback. The purpose of this research is to design a web-based information system that is effective in collecting, processing, and analyzing pilgrims' feedback to improve Hajj services. The technologies used include PHP as the application development platform and MySQL as the database. Data were obtained through surveys and interviews with service users, then tested on 50 users. The results showed that the system increased user satisfaction by 30% based on pre- and post-implementation indicators. The information system provides real-time analytical reports, makes it easier for staff to identify problems, and improves service responsiveness and transparency. Initial implementation at the Deli Serdang District Office of the Ministry of Religious Affairs demonstrated the system's effectiveness in supporting the evaluation and improvement of Hajj services. This study concludes that the implementation of a feedback information system can significantly improve the quality of Hajj services and has the potential to be implemented in other Ministry of Religious Affairs offices to support the improvement of service quality nationally.
Design, Development, and Implementation of a Desktop-Based Laundry Management Application for Optimizing Operational Efficiency Rahmadani, Noni Fauzia; Syahputri, Rifdah; Nugroho, Agung; Nasution, Luftia Rahma; Siregar, Dzilhulaifa; Dewi, Aulia Kartika
TIN: Terapan Informatika Nusantara Vol 5 No 9 (2025): February 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i9.7045

Abstract

Manual management of laundry operations often faces various challenges, such as recording errors, limited monitoring of employee activities, and lack of transparency in financial reporting. To address these issues, this research aims to design and develop a desktop-based laundry management application that integrates order management, problem reporting, and financial management efficiently. The application is designed for three main user roles: staff, shop heads, and owners. Staff are responsible for inputting customer orders and reporting operational issues, shop heads monitor staff activities and handle problems, while owners can access financial reports and order activity recaps to support strategic decision-making. This research employs the Research and Development (R&D) method with the Waterfall software development model, encompassing requirements analysis, system design, implementation, and testing. Data collection was conducted through literature studies and direct observation of operational processes in multiple laundry businesses. The application was developed using the Java programming language and MySQL database and operates locally without requiring an internet connection. Testing results indicate that the system improves order processing efficiency by reducing recording time by approximately X% compared to manual methods, accelerates financial transaction recording, and enhances transparency in operational reporting. With this system, laundry management is expected to become more effective, accurate, and easily accessible to all users.
Deteksi Berita Hoax Pada Platform X Menggunakan Pendekatan Text Mining dan Algoritma Machine Learning Dewi, Aulia Kartika; Noni Fauzia Rahmadani; Syahputri, Rifdah; Luftia Rahma Nasution; Furqon, Mhd
Data Sciences Indonesia (DSI) Vol. 5 No. 1 (2025): Article Research Volume 5 Issue 1, June 2025
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dsi.v5i1.6011

Abstract

The spread of hoax news on digital platforms is increasingly becoming a serious concern as it can trigger mass disinformation and potentially cause widespread social disruption. Platform X, as one of the most widely used social media, is often used as a means of spreading unverified information. Therefore, an automatic detection system is needed that is able to identify hoax news effectively and efficiently. This research aims to build a text-based hoax news classification model by applying a text mining approach and the Support Vector Machine (SVM) algorithm. The dataset used comes from Platform X and has gone through a series of preprocessing stages, including case folding, tokenization, stopword removal, and stemming. The feature extraction process is performed using the Term Frequency-Inverse Document Frequency (TF-IDF) method to convert text into numerical representations that can be processed by the SVM algorithm. The built model is then evaluated using several performance metrics, such as accuracy, precision, recall, and F1-score. The evaluation results show that the SVM model is able to classify hoax news with 83.2% accuracy, 81.5% precision, 84.7% recall, and 83.0% F1-score. This finding shows that the SVM algorithm is quite reliable in detecting text-based hoax news and has the potential to be implemented as a solution to mitigate the spread of false information on digital platforms more broadly.
Co-Authors Dewi, Aulia Kartika Furqon, Mhd Kartika Dewi, Aulia Luftia Rahma Nasution Nasution, Luftia Rahma Noni Fauzia Rahmadani Nugroho, Agung Rahmadani, Noni Fauzia Siregar, Dzilhulaifa