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All Journal JOIV : International Journal on Informatics Visualization
Nureize Arbaiy
Universiti Tun Hussein Onn Malaysia, Johor, Malaysia
Computer Science & IT

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Fertilizer Information System for Banana Plantation Yu Shin Shuen; Nureize Arbaiy; Yusmadi Yah Jusoh
JOIV : International Journal on Informatics Visualization Vol 1, No 4-2 (2017): The Advancement of System and Applications
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1224.441 KB) | DOI: 10.30630/joiv.1.4-2.69

Abstract

A banana is a nutritious fruit which contains good vitamins and nutrient for body. Banana tree requires suitable mean temperature and mean rainfall to grow up. Additionally, healthy soil improves crops growth due to sufficient nutrients. Farmers use fertilizer to improve soil nutrient and increase yield productions. Thus, a proper field management and fertilization is important to ensure banana plants to produce high quality of yield. Improper manage fertilizer will cause impact on the environment and affect the banana plantation. Therefore, fertilizer information system for banana plantation is developed to support farmers to manage information for banana farm in an effective way. Prototype model is employed to assist development of the system. PHP programming language is used to develop this system and MySQL as a system database. This system contains five modules which are registration and login module, manage banana plantation information module, fertilizer formulation management module, fertilizer information management module and report module. It is expected that the system will help farmers to manage and monitor the fertilizing task in the farm efficiently.
An Expert System for Pneumococcal Prognosis Nurnadzirah Othman; Nureize Arbaiy; Hamijah Mohd Rahman
JOIV : International Journal on Informatics Visualization Vol 2, No 3-2 (2018): The Diversity in Information Systems
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (959.535 KB) | DOI: 10.30630/joiv.2.3-2.142

Abstract

Threats and viruses are particularly alarming for children with low immunization levels. Pneumococcal disease is the world's most important cause of child death and has claimed many lives. Since awareness of the dangers of Pneumococcal viruses among parents is low in Malaysia, preventive measures such as vaccine intake cannot be done comprehensively. Hence, in order to communicate information about Pneumococcal disease, a pneumococcal disease diagnosis system for children is developed. This system employs expert system method and apply forward chaining technique for its reasoning. Knowledge base of the system is stored in the database for data management. This alternative system allows access to information as well as early diagnosis of early symptoms can be detected. This system is expected to benefit users in terms of knowledge sharing, and self-checking on their body condition, especially parents, to prevent any possible diseases that may infect children's.
Financial Records Management System for Micro Enterprise Yeow Xin Yin; Nureize Arbaiy; Jamilah Din
JOIV : International Journal on Informatics Visualization Vol 1, No 4-2 (2017): The Advancement of System and Applications
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (983.567 KB) | DOI: 10.30630/joiv.1.4-2.70

Abstract

Financial records represent a formal records or written reports of financial activities of an entity to quantify financial performance and financial strength. Most of micro enterprises under Centre for Business and Entrepreneurship (CBER) UTHM is currently using manual records bookkeeping system to keep the financial records. This cause time consuming and human errors. Hence, financial records management system for micro enterprises under CBER is developed. This system is able to simplify invoice records and quotation collection. Financial records management system also can eliminate accounting errors and minimizing records keeping redundancy. The system is developed by using software Brackets, Xampp and PHP programming through agile methodology guide. This system is expected to help micro enterprises to keep track and manage financial records efficiently.
Exploratory Study of Kohonen Network for Human Health State Classification Hamijah Mohd Rahman; Nureize Arbaiy; Muhammad Shukeri Che Lah; Norlida Hassan
JOIV : International Journal on Informatics Visualization Vol 2, No 3-2 (2018): The Diversity in Information Systems
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (982.301 KB) | DOI: 10.30630/joiv.2.3-2.143

Abstract

Kohonen Network is an unsupervised learning which forms clusters from patterns that share common features and group similar patterns together. This network are commonly uses grids of artificial neurons which connected to all the inputs. This paper presents an exploratory study of Kohonen Neural Network to classify human health state. Neural Connection tool is used to generate the result based on Kohonen learning algorithm. Procedural steps are provided to assist the implementation of the Kohonen Network. The result shows that side 2 is more appropriate for this problem with efficient learning rate 1.0. It gives good distribution for training and test patterns. Study to the variation of dataset’s size will be considered in the near future to evaluate the performance of the network.
Co-Authors Hamijah Mohd Rahman Jamilah Din Muhammad Shukeri Che Lah Norlida Hassan Nurnadzirah Othman Yeow Xin Yin Yu Shin Shuen Yusmadi Yah Jusoh