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Menampilkan 1–2 dari 2 artikel
Functional Testing of the JivaJoy Online Product Stock Management and Ordering System Software Using Black Box Testing
Jasmine Aulia Mumtaz
; Kinaya Khairunnisa Komariansyah
; Helena Dewi Hapsari
; Bima Julian Mahardhika
; Luthfi Dika Chandra
; Muhammad Rafi' Rusafni
; Wicaksono, Aditya
; Mindara, Gema Parasti
International Journal of Computer Technology and Science
Vol 2
, No 1
(2024)
This study focuses on black-box testing of JivaJoy software, an online product stock management and ordering system. The primary goal of this research is to evaluate the functionality and performance of the system's key features, including profile management, CRUD operations for admin and customer accounts, product stock management, shopping cart, order management, and AI counseling. Black-box testing was applied to assess whether these features meet expected operational standards and user requi...
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Real-Time Facial Emotion Detection Application with Image Processing Based on Convolutional Neural Network (CNN)
Hakim, Ghaeril Juniawan Parel
; Simangunsong, Gandi Abetnego
; Rangga Wasita Ningrat
; Jonathan Cristiano Rabika
; Muhammad Rafi' Rusafni
; Endang Purnama Giri
; Gema Parasti Mindara
International Journal of Electrical Engineering, Mathematics and Computer Science
Vol 1
, No 4
(2024)
Facial Emotion Recognition (FER) is a key technology for identifying emotions based on facial expressions, with applications in human-computer interaction, mental health monitoring, and customer analysis. This study presents the development of a real-time emotion recognition system using Convolutional Neural Networks (CNNs) and OpenCV, addressing challenges such as varying lighting and facial occlusions. The system, trained on the FER2013 dataset, achieved 85% accuracy in emotion classification,...
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