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

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Improving Sports Participation among Students through Mobile Application Heng Zhuang Ching; Norfaradilla Wahid; Hanayanti Hafit; Shahreen Kasim
JOIV : International Journal on Informatics Visualization Vol 2, No 3-2 (2018): The Diversity in Information Systems
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (841.219 KB) | DOI: 10.30630/joiv.2.3-2.141

Abstract

Technologies are advancing at incredible speed with great purposes. Unfortunately, as technologies grow, some people have lost their motivation to keep up with their health by neglecting their physical activities like sports, outdoor games, etc. There are less people willing to step outside to do physical activities especially those which requires companions or members. We cannot deny the fact that there are still people who are willing to come out and do sports in a group. However, most of the time they do not have enough members to conduct the sport. This situation can lead to discouragement and stopping them from doing any more sports activity just because of insufficient team member. This situation can lead to discouragement and stopping them from doing any more sports activity just because of insufficient team members. The Sports Team Finder is a mobile application that helps the students in Universiti Tun Hussein Onn Malaysia (UTHM) to reach other people who has the same intention, i.e., to get team members. Students can use this application to find team members for team-oriented games such as basketball, football, netball, etc. The aim is to design an application where it motivate users to engage other people through sports and meeting new friends along the way. The application is able to function properly and successfully gather users with similar interest together. It has shown that the application has caused an improvement of sport involvement among students in UTHM.
A Rule-based Mobile Application for Diagnosing Pet Disease: Design and Implementation Ling Li Ng; Hanayanti Hafit; Ruhaya Ab. Aziz; Nur Liesa Mohammad Azemi; Siti Hawa Anurddin
JOIV : International Journal on Informatics Visualization Vol 7, No 2 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.2.1325

Abstract

Animals kept in homes for personal enjoyment rather than for work or sustenance are typically referred to as "pets." A pet's daily schedule can include exercising its muscles and going outside to relieve stress. Pets may occasionally be drink from community water dishes that could be contaminated with other animals' bacteria, viruses, or parasites. The pets may unknowingly get infections due to this opening up their bodies to bacteria or viruses. Pet's behavior and condition need to be periodically checked. An animal's behavior is directly impacted by its health and vice versa. A pet disease diagnosis application is crucial for pet owners to receive consistent and suitable pet health care. It will help pet owners identify potential illnesses before their animals develop chronic ones. Thus, the construction of a mobile application for diagnosing pet diseases is presented in this paper. This application offers pet owners information on their animals' health and safety. Pet owners can contact veterinarians for rare cases or crises in this application's chat room. The rule-based inference is used to determine the possible diseases based on the pet's symptoms. System prototyping methodology is applied to develop this Android mobile application using Visual Studio Code and Firebase database. User acceptance testing is performed on the users to test how much further their satisfaction with the proposed pet disease diagnosis application is before the application is shifted to the production process.  
Co-Authors Heng Zhuang Ching Ling Li Ng Norfaradilla Wahid Nur Liesa Mohammad Azemi Ruhaya Ab. Aziz Shahreen Kasim Siti Hawa Anurddin