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All Journal JOIV : International Journal on Informatics Visualization
Shahreen Kasim
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.
X-Similarity Comparison by using Wordnet Shahreen Kasim; Nurul Aswa Omar; Nurul Suhaida Mohammad Akbar; Rohayanti Hassan; Masrah Azrifah Azmi Murad
JOIV : International Journal on Informatics Visualization Vol 1, No 4-2 (2017): The Advancement of System and Applications
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (956.137 KB) | DOI: 10.30630/joiv.1.4-2.79

Abstract

Semantic web is an addition of the previous one that represents information more significantly for humans and computers. It enables the description of contents and services in machine readable form. It also enables annotating, discovering, publishing, advertising and composing services to be programmed. Semantic web was developed based on Ontology which is measured as the backbone of the semantic web. Machine-readable is transformed to machine-understandable in the current web. Moreover, Ontology provides a common vocabulary, a grammar for publishing data and can provide a semantic description of data which can be used to conserve the Ontology and keep them ready for implication. There are many that used in feature based in semantic similarity. This research presents a single ontology of X-Similarity feature based method.
Co-Authors Hanayanti Hafit Heng Zhuang Ching Masrah Azrifah Azmi Murad Norfaradilla Wahid Nurul Aswa Omar Nurul Suhaida Mohammad Akbar Rohayanti Hassan