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All Journal JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal ICT : Information Communication & Technology
Rahman, Raden Muhammad Raditya
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Computer Science & IT

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Functional Testing of Web-Based Input Form Using Boundary Value Analysis Technique: A Case Study on TemanTernak Rafif, Akhmad Zufar; Prayoga, Muhammad Rafi Alexander; Islam, Muhammad Faris Fadhil; Rahman, Raden Muhammad Raditya; Indriasari, Sofiyanti; Nasir, Muhammad
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.5084

Abstract

Software reliability is highly dependent on robust data validation mechanisms to prevent data integrity issues. The main issue raised in this study is the risk of input errors in the "Create Doctor Invitation" form in the TemanTernak web application, which could potentially cause invalid data storage. This study aims to evaluate the quality of the system's input validation to ensure its compliance with the requirements specifications. The proposed solution is the implementation of Black Box Testing with the Boundary Value Analysis (BVA) technique. The testing methodology was carried out following the Software Testing Life Cycle (STLC) stages, in which 17 test scenarios were run to assess four critical elements: name and title, email, phone number, and invitation message. The test results revealed that the system only achieved a functional success rate of 41.2%. Although the application successfully processed standard valid inputs, the system failed to reject the majority of inputs that were outside the tolerance limits (off-boundary) and passed empty inputs in mandatory fields. In conclusion , the current validation mechanism is insufficient to handle extreme conditions. In the future, the implementation of strict server-side validation with range constraints is necessary to mitigate these vulnerabilities.
Fire Detection Berbasis Computer Vision Menggunakan YOLOv8 Secara Real-Time Sukmosuwarno, Rizq Muhammad; Islam, Muhammad Faris Fadhil; Rahman, Raden Muhammad Raditya; Mindara, Gema Parasti; Giri, Endang Purnama
Jurnal ICT: Information Communication & Technology Vol. 25 No. 2 (2025): JICT-IKMI, December , 2025
Publisher : LPPM STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v25i2.330

Abstract

This study presents the development of a fire detection system using image processing techniques based on the YOLOv8 object detection algorithm to achieve fast, accurate, and real-time performance. A dataset of fire images with various visual characteristics was preprocessed, converted into YOLO annotation format, and used to train the model for 30 epochs. Evaluation results demonstrate that the YOLOv8 model performs effectively, achieving an mAP50 of 0.646, a precision of 0.889, and an inference speed of 282.5 ms per frame. The system is integrated with OpenCV to process webcam input and display bounding boxes and confidence scores in real time. The implementation confirms that YOLOv8 is a reliable solution for early fire detection, offering faster and more adaptive responses compared to conventional sensor-based methods. This approach can be applied to modern safety monitoring systems to enhance fire prevention efforts.
Co-Authors Endang Purnama Giri Islam, Muhammad Faris Fadhil Mindara, Gema Parasti Muhammad Nasir Prayoga, Muhammad Rafi Alexander Rafif, Akhmad Zufar Sofiyanti Indriasari Sukmosuwarno, Rizq Muhammad