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

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Journal : International Journal of Advanced Science Computing and Engineering

 1 
Vista Angkasa Apartment Management System Thevaraju, Devi Priya; Zakaria, Zalmiyah; Mohamad Sukri, Khairul Amin; 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 (1110.338 KB) | DOI: 10.62527/ijasce.1.2.4

Abstract

Vista Angkasa Apartment is one of the oldest apartments in the Bangsar South area, with a total of 8 blocks and consisting of more than 1000 units of houses. Currently, all the transaction related to the maintenance of each apartment is recorded manually. It is very difficult to manage all the data manually and if some information is required urgently then to obtain it also is very difficult. It will not only take a lot of time, but it also increases the chances of errors. Therefore, to solve the issues faced, an apartment management system that allows management staff to view the apartment’s data and tenant’s data as well as maintenance requests, notices and complaints has been developed. It also increases the efficiency and the effectiveness of Vista Angkasa Apartment Management by eliminating the current manual system. Compilation of data can be done easily with just a click of mouse. The methodology that has been applied to develop the system will be Agile with the PHP programming language. The developed system has successfully tested with the real time data at the Vista Angkasa Apartment. Based on the obtained results, the Vista Angkasa Apartment Management System solved the current issues with the management office and tenants.
University Course Timetabling System For Part-Time Students Ruslaan, Mohd Asyraf; Zakaria, Zalmiyah; Saringat, Mohd Zainuri; 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 (297.012 KB) | DOI: 10.62527/ijasce.1.2.5

Abstract

University timetabling system is a part of a timetabling problem that aims to produce course timetable that meets student needs such as the maximum number of subjects that can be offered, the maximum number of elective subjects that can be offered and the number of subject students can take. In every semester, the timetabling process in UTMSPACE is done manually where there are likely to be a small number of students who will have problems because the subject to be taken is not in the subjects offering list. Additionally, the number of subjects offered is also not optimal and this will result in a loss on UTMSPACE because each subject is offered at a cost. Therefore, in order to solve this problem, the Heuristic-based approach is used to overcome the problems mentioned and speed up the process to generate timetable. Heuristic engines have been developed using PHP language programming. This approach has been successfully tested and implemented using real-time scheduling data at UTMSPACE for Software Engineering course. The results show that Heuristics has successfully solved the problem of producing a timetable without affecting students who want to enroll the subject offered.
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.
Online Diagnose System for Risk of Kidney Failure Mohd Noh, Noraziah; Zakaria, Zalmiyah; 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 (1098.026 KB) | DOI: 10.62527/ijasce.1.1.17

Abstract

Renal or kidney failure, only a few citizen alert in this renal failure problem. They have a lot of thing to done, and disregard on their healthy matter, especially on organ healthy that it cannot be see directly on our eyes. On that matter, online Diagnosis Renal Failure system is developed to help society to diagnose their healthy on renal failure view. System is developed online to give an advantage to society to achieve or access the system everywhere. System has two major module, diagnosis module and information module. Diagnosis module is the part where the user can make a diagnose. Information module has two sub modules, information on renal failure and information on dialysis center all around city in peninsular Malaysia. The system development is performed on expert system methodology with prototyping as the model. Production rules technique is used to represent knowledge and for searching process pattern matching technique has been use. The system expectantly can give a benefit to society and performing diagnosis in represent the knowledge of expert in medical field.
Co-Authors Abdullah, Noryusliza Abdullah, Zubaile Aldo Erianda, Aldo Ali Shah, Zuraini Arss, Nachnoer Edzuan Zainodin, Muhammad Halim, Shahliza Abd Hassan, Norhasniza Jawawi, Dayang Norhayati Abang Mohamad Sukri, Khairul Amin Mohd Noh, Noraziah Muhammad Idham Rohayanti Hassan, Rohayanti Ruslaan, Mohd Asyraf Saringat, Mohd Zainuri Shahreen Kasim, Shahreen Thevaraju, Devi Priya