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M. Miftach Fakhri
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INDONESIA
Journal of Digital Technology and Computer Science
Published by PT. Lontara Digitech Indonesia
ISSN : 30310318     EISSN : 30308127     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
Journal of Digital Technology and Computer Science (DIGITECH). DIGITECH encompasses all aspects of the latest research and developments in the field of computer science, including: - Digital Technology - Computer Systems and Networking - Artificial Intelligence (AI) and Machine Learning - Image and Sound Processing - Information Security - Operating Systems and Computer Architecture - Cloud and Edge Computing - Internet of Things (IoT) - Big Data and Analytics
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 1 (2025): November 2025" : 5 Documents clear
WIKAMA: A Web-Based Tourism Information System for Maros Regency Using the Waterfall Method Paula Vebrianti Kewa Payon Riantobi; Nurhalisa; Muh. Kahlil Gibran; Muh. Kahlil; Ahmad Khairul Shiddiq; Muhammad Nur Faiz
Journal of Digital Technology and Computer Science Vol. 3 No. 1 (2025): November 2025
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v3i1.20254

Abstract

The Web-Based Tourism Information System of Maros Regency (WIKAMA) was developed to provide an efficient platform for promoting tourist destinations and delivering accessible visitor information. The system enhances the tourism experience by offering real-time details on attractions, facilities, and services. Development followed the Waterfall methodology, incorporating modules for destination management, gallery updates, and user interaction. Evaluation employed both functional and non-functional testing to assess performance, security, and usability. Black Box testing confirmed that all seven core functionalities operated successfully and complied fully with the specified requirements. While the system has met its initial objectives, further enhancements are recommended, including online ticketing, integration with social media for broader outreach, and optimization for improved performance. These improvements are expected to strengthen WIKAMA’s role as a digital tool for tourism promotion and regional economic development in Maros Regency.
Classify: Classroom Reservation Mobile Application for Students Based on Agile Development Joy Febrianto Hale; Muhammad Taufiq Alhidayah Syah; Surya Radi Ramdhani. S
Journal of Digital Technology and Computer Science Vol. 3 No. 1 (2025): November 2025
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v3i1.20252

Abstract

Classroom management in higher education often suffers from inefficiencies and scheduling conflicts as the reservation process is still carried out manually. To address these issues, this research developed Classify, an Android-based mobile application designed to help students reserve classrooms in a structured, efficient and digital way. The development followed the agile method using the Scrum framework, which was divided into three iterative sprints, including system planning, interface design with Figma, backend integration through Firebase and implementation of the main functions such as login, class list per floor, booking system and user profile management. System modeling is done with the Unified Modeling Language (UML), including Use Case Diagram and Activity Diagram. The tests are carried out using black-box and white-box methods to ensure the reliability of the system and the correctness of the program logic. The test results show that all functions work as expected and meet user requirements. Classify is thus able to improve the efficiency of the classroom reservation process, reduce the administrative burden and contribute to the digitalization of academic services in higher education.
KNN Vs Naive Bayes: An Innovative Comparison in Predictive AI Learning With Association Data Support Jannah, Devi Miftahul; Aprilianti Nirmala S
Journal of Digital Technology and Computer Science Vol. 3 No. 1 (2025): November 2025
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v3i1.20251

Abstract

This study analyzes how Naive Bayes and K-Nearest Neighbor (KNN) predict learning outcomes based on artificial intelligence (AI). The main focus of this study is the difficulty of algorithms in handling complex learning data and the contribution of Association Rule Mining (ARM) attribute features in improving prediction accuracy. The methods applied include two classification algorithms (KNN and Naive Bayes) in an exploratory-comparative quantitative research design, as well as the application of ARM to uncover hidden patterns among variables using the apriori algorithm. Data for 368 students with prior experience in artificial intelligence technology was collected through an online survey. Although KNN outperforms in recall, the study results show that Naive Bayes has higher precision. By detecting hidden correlation patterns that cannot be identified by conventional classification methods, ARM improves classification results. The discussion emphasizes that the selection of the best algorithm depends on the application's objectives, namely whether the priority is on classification accuracy or the range of relevant results. Based on these findings, a hybrid technique combining KNN, Naive Bayes, and ARM is highly recommended for creating a more efficient and accurate prediction system to support AI-based education.
Web-Based Tourism Recommendation System for South Sulawesi: Design, Implementation, and Evaluation Reza Fathurrahman; Dwi Putri Nadila; Nurfahmi Hidayat; Ahmad Khairul Shiddiq, Hairin; Ahmad Khairul Shiddiq
Journal of Digital Technology and Computer Science Vol. 3 No. 1 (2025): November 2025
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v3i1.20255

Abstract

Tourism information delivery in South Sulawesi remains constrained by the absence of a digital platform that provides comprehensive and personalized data. Previous studies generally present only basic information without recommendation features that align with user interests. This study develops a web-based application named Sering-Sering, designed to provide both tourism information and personalized recommendations according to user needs. The application was developed using the Waterfall model, a structured and sequential software engineering methodology, and its functionality was evaluated through white-box and black-box testing to ensure completeness and reliability. Results demonstrate that Sering-Sering was successfully implemented through systematic stages of planning, analysis, design, implementation, and testing. The final system is stable, user-friendly, and capable of delivering informative outputs. Black-box testing across 15 scenarios, including login, registration, destination search, profile management, and deletion of favorites and notifications, produced a 100 percent functional success rate. These findings indicate that the application effectively supports tourists in identifying suitable destinations quickly and conveniently while also contributing to regional tourism promotion. Future research is recommended to expand the system by integrating online ticket booking and artificial intelligence-based recommendation features, thereby strengthening its potential contribution to smart tourism development in South Sulawesi.
Web Based Sales Information System Using the Waterfall Method for Cashier and Product Management Awaluddin; Muhammad Fadhil Mu’min; Riandy; Syahril Ramadhan; Muhammad Nur Faiz; Ahmad Khairul Shiddiq
Journal of Digital Technology and Computer Science Vol. 3 No. 1 (2025): November 2025
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v3i1.20253

Abstract

This article presents the development of a web based sales information system for e commerce named Comerch using the Waterfall method. E commerce offers convenient online transactions yet imposes challenges in managing complex sales processes. The study aims to design and implement a system that supports transaction processing, product management, and an accessible and efficient platform. The Waterfall stages applied include requirements analysis, system design, coding, integration, and testing. Findings show that Waterfall enabled a structured and efficient development pipeline and smooth integration of system components. The resulting system provides core functions including product management, payment transactions, and real time reporting which improve operational efficiency and user experience. Scenario based testing confirms that the system performs as expected. Black box testing across forty six scenarios achieved one hundred percent functional validation. The study contributes a practical reference for developing sales information systems for small and medium enterprises and for practitioners seeking predictable and well documented development cycles.

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