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All Journal JOIV : International Journal on Informatics Visualization International Journal of Advanced Science Computing and Engineering
Abdullah, Noryusliza
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Diagnosis Specialist System at Palm Oil Hassan, Norhasniza; Zakaria, Zalmiyah; Ali Shah, Zuraini; Abdullah, Noryusliza; Kasim, Shahreen
International Journal of Advanced Science Computing and Engineering Vol. 1 No. 2 (2019)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.72 KB) | DOI: 10.62527/ijasce.1.2.13

Abstract

 The project that was developed is a computerize system that will be ableto diagnose problems happened to palm oil tree. Generally, there is twomain problem that always happened to palm oil tree; disease and pest.This system developed to store the knowledge in the related field into aknowledge base to help the newcomer in this field to make a decision tosettle the problem faced. To solve this problem, data driven searchtechnique applied to search for the symptom stored in the knowledgebase. The system developed using expert system concept. Based on thisconcept, a knowledge base was built to store all the knowledge compiled.Inference engine used to search the knowledge in the knowledge base.The knowledge based was stored in MySQL database and the inferenceengine was developed using PHP language.
Smart Printing Management System Using Structured Analysis Tamilareson, Thivya; Abdullah, Noryusliza
International Journal of Advanced Science Computing and Engineering Vol. 2 No. 2 (2020)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (624.678 KB) | DOI: 10.62527/ijasce.2.2.58

Abstract

The Smart Printing Management System is an online printing ordering system. The purpose of developing this system is to take online printing orders in a much more efficient way from the customer so that the customer does not have to wait for a long time at the shop to print up their stuff. The system also provides printing templates design for each category of printings so that the customer can customize their own printing designs before they upload their material to order. The system also will manage the daily printing sales record from the customer which is the daily printing sales report will be saved in the system so that the shop will have proper records of the customer's sales every day. They can also view the daily printing sales report in a graph form where it will be easier to evaluate their daily sales. Moreover, the system also will manage the product stock as well which is the system will display "low stock" for the quantity of the product stock is less than 10. So the shop can know which the specific number of the item is currently available for the customer to purchase. Moreover, the admin also can add and edit the product stock whenever needed. Furthermore, this system also helps the shop to avoid product overstock and outages. The methodology that use to develop this system is the waterfall model.
Intelligence Eye for Blinds and Visually Impaired by Using Region-Based Convolutional Neural Network (R-CNN) Yee, Lee Ruo; Kamaludin, Hazalila; Safar, Noor Zuraidin Mohd; Wahid, Norfaradilla; Abdullah, Noryusliza; Meidelfi, Dwiny
JOIV : International Journal on Informatics Visualization Vol 5, No 4 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.4.735

Abstract

Intelligence Eye is an Android based mobile application developed to help blind and visually impaired users to detect light and objects. Intelligence Eye used Region-based Convolutional Neural Networks (R-CNN) to recognize objects in the object recognition module and a vibration feedback is provided according to the light value in the light detection module. A voice guidance is provided in the application to guide the users and announce the result of the object recognition. TensorFlow Lite is used to train the neural network model for object recognition in conjunction with extensible markup language (XML) and Java in Android Studio for the programming language. For future works, improvements can be made to enhance the functionality of the Intelligence Eye application by increasing the object detection capacity in the object recognition module, add menu settings for vibration intensity in light detection module and support multiple languages for the voice guidance.
Co-Authors Ali Shah, Zuraini Dwiny Meidelfi Hassan, Norhasniza Kamaludin, Hazalila Safar, Noor Zuraidin Mohd Shahreen Kasim, Shahreen Tamilareson, Thivya Wahid, Norfaradilla Yee, Lee Ruo Zakaria, Zalmiyah