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Menampilkan 1–10 dari 15 artikel
Web-Based Financial Information System Testing of PT Perta Sakti Abadi Using the Black Box Testing Method
Meliala, Rajhaga Jevannya
; Anggraeni, Aulia
; Holik, Wildan
; Manik, Jonser Steven Rajali
; Hakim, Ghaeril Juniawan Parel
; Mindara, Gema Parasti
; Wicaksono, Aditya
International Journal of Computer Technology and Science
Vol 2
, No 1
(2024)
Software testing is a critical phase in information system development to ensure the system's quality and reliability. This study aims to evaluate the reliability and functionality of PT Perta Sakti Abadi's financial information system using the black-box testing method with the Equivalence Partitioning (EP) technique. This technique allows input data to be grouped into valid and invalid categories, minimizing test cases without reducing testing coverage. The testing focuses on the login feature...
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Black Box Testing on the Wingpos Website Using the Equivalence Partitioning Technique
Nadhifah, Jauza
; Muhammad Al Amin
; Capriandika Putra Susanto
; Muhammad Galuh Gumelar
; Anka Luffi Ramdani
; Mindara, Gema Parasti
; Wicaksono, Aditya
International Journal of Information Engineering and Science
Vol 2
, No 3
(2024)
In the digital business environment, web-based Point of Sale (POS) systems play a vital role in supporting transaction processing, inventory management, and operational decision-making. Ensuring the functional reliability of such systems is essential, particularly in critical authentication features that regulate user access. However, undetected functional errors within login and registration modules may disrupt operations, compromise data integrity, and reduce user experience quality. Therefore...
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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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Enhancing Low-Resolution Facial Images for Forensic Identification Using ESRGAN
Helena Dewi Hapsari
; Arya Dimas Wicaksana
; Hafiz Fadli Faylasuf
; Asa Yuaziva
; Rivanka Marsha Adzani
; Endang Purnama Giri
; Gema Parasti Mindara
International Journal of Multilingual Education and Applied Linguistics
Vol 1
, No 4
(2024)
This research is motivated by the challenges in facial identification for forensic investigations due to poor image quality, especially from low-resolution CCTV recordings. Images with noise, low lighting, and suboptimal angles often hinder accurate facial recognition. This study aims to examine the effectiveness of the Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) method in enhancing the quality of forensic facial images. The methodology consists of three main stages: data p...
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Design GiggleGate as Desktop Virtual Assistant with Face and Speech Recognition Authentication System
Jasmine Aulia Mumtaz
; Kinaya Khairunnisa Komariansyah
; Wildan Holik
; Reza Pratama
; Muhammad Galuh Gumelar
; Endang Purnama Giri
; Gema Parasti Mindara
International Journal of Computer Technology and Science
Vol 1
, No 4
(2024)
In recent years, virtual assistants have become an integral part of everyday life, simplifying routine tasks and allowing users to focus on more important matters. This research aiming to design GiggleGate, a virtual desktop assistant integrated with both face and speech recognition technology to enhance authentication security. The objective is to develop an authentication system that not only verifies user identity but also provides a more intuitive experience and seamless interaction. The res...
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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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Analysis and Testing of the Combox Web Application System Using Black Box Testing with the Equivalence Partitioning Method
Dini Nurul Azizah
; Ibnu Aqil Mahendar
; Muhammad Fillah Alfatih
; Setiady Ibrahim Anwar
; Nabil Malik Al Hapid
; Aditya Wicaksono
; Gema Parasti Mindara
International Journal of Electrical Engineering, Mathematics and Computer Science
Vol 1
, No 4
(2024)
This research focuses on evaluating the Combox web application, a digital tool designed to help Food and Beverage (F&B) business owners strengthen their online presence. The analysis was carried out through Black Box Testing, specifically using the Equivalence Partitioning method, to assess core functionalities like login, logout, product management, and pagination. The findings reveal that while most features function as intended, there are issues with product addition and editing, as well...
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Parking Slot Scanning for Maximum Efficiency Using Python
Faras, Algyon
; Andisa, Gany
; Nashwandra, Nakula Bintang
; Nadhifah, Jauza
; Widhiwipati, David Reza
; Giri, Endang Purnama
; Mindara, Gema Parasti
International Journal of Information Engineering and Science
Vol 2
, No 1
(2024)
The growing number of vehicles in major cities has posed significant challenges in parking lot management. Motorists often have difficulty finding empty parking slots quickly, which not only wastes time but also aggravates traffic congestion and increases air pollution. This research develops a Python-based smart parking system by utilizing the OpenCV library to detect the status of parking slots in real-time. The system uses a camera as the main sensor and processes the image using techniques s...
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Automatic Passenger Counting System on Public Buses Using CNN YOLOv8 Model for Passenger Capacity Optimization
Ari Dian Prastyo
; Sharfina Andzani Minhalina
; Surya Agung
; Denty Nirwana Bintang
; Muhammad Yordi Septian
; Endang Purnama Giri
; Gema Parasti Mindara
International Journal of Information Engineering and Science
Vol 1
, No 4
(2024)
This study presents the development and evaluation of an automatic passenger counting system for public buses using the YOLOv8 algorithm based on Convolutional Neural Networks (CNN). Accurate passenger counting plays a crucial role in optimizing public transportation operations, as it enables effective capacity management, reduces operational costs, and improves overall passenger comfort. Conventional manual counting methods are often inefficient, time-consuming, and prone to human error, partic...
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Traspoter Application Development: Website-Based Automatic Garbage Classification Using CNN Method
Bima Julian Mahardika
; Budy Santoso
; Aulia Anggraeni
; Muhamad Ali Imron
; Anatasya Wenita Putri
; Endang Purnama Giri
; Gema Parasti Mindara
International Journal of Multilingual Education and Applied Linguistics
Vol 1
, No 4
(2024)
This research focuses on the development of automatic waste classification by applying the Convolutional Neural Network (CNN) method in a web-based application. This system is designed to help the waste management process through automatic sorting between organic and inorganic waste, so that it can support recycling efforts and reduce environmental impacts. In its application, this application utilizes the CNN algorithm to analyze images and recognize the type of waste with good accuracy. The de...
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