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p-Index From 2020 - 2025
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All Journal International Journal of Supply Chain Management Data Science Insights
Fadhilah Mat Yamin
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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Trend Analysis on 13 Years of Halal Research; Investigation on Halal Food Research Risyawati Mohamed Ismail; Mastora Mustafar; Noorulsadiqin Azbiya Yaacob; Fadhilah Mat Yamin
International Journal of Supply Chain Management Vol 9, No 3 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.838 KB)

Abstract

Despite all the attention halal received from the economic point of view, the academic exploration of the subject has yet to be analyzed. Research on the different aspects of halal has begun, but due to the broad scope of the subject, no one has yet studied the overall approach and trend of research on halal. While the subject area is becoming popular with stakeholders, it is interesting to see whether the academic community is keeping up with the booming growth of the industry. Published articles from 2005 to the beginning of 2019 were used in this study. In this study, 13 years of 'halal' publications in the fields of social sciences, art humanities and business management were extracted, analyzed and interpreted in two major databases in order to understand the actual situation of halal research carried out since the year 2005. Findings showed that most halal research conducted over the last 13 years focuses more on halal product and halal food, and focuses mainly on consumer behavior and outlook, halal slaughter, halal meat and food production, to name a few. Such results indicated that there are still numerous halal sub-topics that researchers need to investigate, and that the body of knowledge itself needs rigorous research in the future. 
Customer Satisfaction Towards Onsite Restaurant Interactive Self-Service Technology (ORISST) Por Eng Choo; Fadhilah Mat Yamin; Wan Ishak, Wan Hussain
Data Science Insights Vol. 2 No. 1 (2024): Journal of Data Science Insights
Publisher : PT Visi Media Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63017/jdsi.v2i1.15

Abstract

A recent development in the restaurant industry is the use of on-site restaurant interactive self-service technology (ORISST) by some operators who are moving away from traditional service methods. ORISST allows customers to manage dining services independently through interfaces such as self-service kiosks or tabletop tablets. However, the gap in understanding customer satisfaction regarding ORISST is notable as there is a lack of technology-related research in the restaurant industry. The research objectives of this study is to investigate the significant relationship between the four dimensions of SSTQUAL (functionality, design, enjoyment, customization) and customer satisfaction in using ORISST. In this study, quantitative research was conducted. Data was collected via google form from 293 STML students at UUM who had experience using ORISST. The findings of this study show that functionality, design and enjoyment have a significant positive relationship with customer satisfaction in using ORISST, with functionality being the most significant determinant. In contrast, customization has no significant relationship with customer satisfaction in using ORISST. All these findings may provide valuable suggestions to restaurant operators on how to properly implement ORISST to improve their business performance and attract more customers. This study has broadened the understanding of customer satisfaction towards ORISST which has yet to be fully explored.
Database-Specific Keyword Frequency Analysis in Merged Web Log Data: A Preprocessing Method Wan Ishak, Wan Hussain; Nurul Farhana Ismail; Fadhilah Mat Yamin; Husin, Abdullah
Data Science Insights Vol. 2 No. 1 (2024): Journal of Data Science Insights
Publisher : PT Visi Media Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63017/jdsi.v2i1.16

Abstract

This study investigates the complex intricacies of web log data within the Electronic Resources module of the Perpustakaan Sultanah Bahiyah (PSB) website at Universiti Utara Malaysia (UUM). Serving as a cornerstone of academic infrastructure, the Electronic Resources module acts as a vital gateway, seamlessly connecting the UUM academic community to a vast repository of scholarly information. To tackle challenges posed by the size and complexity of web log data, the research employs a meticulous preprocessing method, involving the restructuring of raw data, outlier cleaning, and user session identification, laying the foundation for a comprehensive analysis. The study further explores the identification of search keywords embedded in the log file, employing a systematic process that transforms data into a structured format. The subsequent extraction of databases and keywords yields intriguing findings, prominently highlighting IEEE and Serial Solution databases. The analysis of 19,146 keywords associated with 11 databases offers valuable insights into user behavior, preferences, and the overall effectiveness of the Electronic Resources module. The identification of frequent keywords not only provides analytical insights but also serves to accelerate users' search processes, reducing cognitive load and fostering a more efficient research experience. This research contributes to the optimization of user experiences and the ongoing refinement of digital library services, aligning them with the evolving needs of the academic community
Co-Authors Abdullah Abdullah Mastora Mustafar Noorulsadiqin Azbiya Yaacob Nurul Farhana Ismail Por Eng Choo Risyawati Mohamed Ismail Wan Ishak, Wan Hussain