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Ali Shah, Zuraini
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Feature Extraction and Classification On Single Nucleotide Polymorphism Kamarudin, Nur Fatihah; Ali Shah, Zuraini; Md Fudzee, Mohd Farhan; 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 (274.247 KB) | DOI: 10.62527/ijasce.1.2.6

Abstract

Malay in Peninsular Malaysia can be divided into eight sub-ethnics which are Malay Bugis, Malay, Malay Champa, Malay Jawa, Malay Kelantan, Malay Kedah, Malay Minang and Malay Pattani. Ancestry informative marker (AIM) can be used to represent the eight subethnic of Malay population in Peninsular Malaysia. In this research, single nucleotide polymorphism (SNP) datasets of eight sub-ethnics are analyses in order to obtain the AIM for Malays population in Peninsular Malaysia. However, the dataset may have outlier, missing data and redundancy that may impact the accuracy of the result. Pre-processing data is an important step that will remove the entire problem. Iterative pruning principal component analysis (ipPCA) is one of the techniques that usually use in analysis on genome datasets to extract the information. It can be applied on the high structured data and can improve the resolution of the data. It also used for structure a sub-population. Random Forest and Hidden Naïve Bayes is used to classify the SNP that can be used as AIM. Information Gain Ratio will rank the chosen AIM based on the value of each attribute
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.
Print It To Me Development System Dickenn, Haezel Ann; Ramli, Azizul Azhar; Ali Shah, Zuraini; Kasim, Shahreen
International Journal of Advanced Science Computing and Engineering Vol. 1 No. 1 (2019)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (556.326 KB) | DOI: 10.62527/ijasce.1.1.16

Abstract

This paper addresses the project where, by the end of the project, the web-based system is able to provide an online printing service system to any party or individual who are staying in-campus to make money with their personal printer. In-campus student and staff are allowed to register as service provider (SP) and they can view and accept order via this webbased system. The system are able to display and show requests by customers while the service providers can select the requests and provide proper service to them. Furthermore, the system should have limitless availability of access, compared to the current printing request process.
Co-Authors Abdullah, Noryusliza Dickenn, Haezel Ann Hassan, Norhasniza Kamarudin, Nur Fatihah Mohd Farhan MD Fudzee, Mohd Farhan Ramli, Azizul Azhar Shahreen Kasim, Shahreen Zakaria, Zalmiyah