Digital Special Collection Portal

Hygiene and sanitation practices on street food vendors in Malaysia


Citation

Nur Idayu Izhab and Nur Hidayah Dahrial and Nurul Fatihah Badurdin and Yeo Li Ying (2021) Hygiene and sanitation practices on street food vendors in Malaysia. Final Year Project thesis, Universiti Malaysia Kelantan. (Submitted)

Abstract

This study focuses on street food vendors in the food and beverage industry. The study examines hygiene and sanitation practices on street food vendors in Malaysia. Thus, this study investigates the relationship between food knowledge, attitude, food safety practice towards food safety implementation among street food vendors in Malaysia. KAP Model also be used in this research. Quantitative research was carried out to accomplish this research. Convenience sampling was used and responses from 375 respondents were collected. Descriptive analysis, reliability test, and Pearson Correlation were used to analyse the data. The final result showed a significant relationship between food knowledge, attitude, and food safety practice with the food safety implementation. Preparation practice and environmental hygiene are found as additional variables that can be used in future research.

Download File / URL

[thumbnail of H06_2021.pdf] Text
H06_2021.pdf

Download (1MB)

Additional Metadata

Item Type: Undergraduate Final Project Report
Collection Type: Final Year Project
Date: 19 June 2021
Number of Pages: 113
Call Number: SAH 2021/006
Supervisor: Dr. Derweanna Binti Bah Simpong
Programme: Bachelor of Entrepreneurship (Hospitality)
Institution: Universiti Malaysia Kelantan
Faculty/Centre/Office: Faculty of Hospitality, Tourism and Wellness
URI: http://discol.umk.edu.my/id/eprint/3870
Statistic Details: View Download Statistic

Edit Record (Admin Only)

View Item View Item

The Office of Library and Knowledge Management, Universiti Malaysia Kelantan, 16300 Bachok, Kelantan.
Digital Special Collection (UMK Repository) supports OAI 2.0 with a base URL of http://discol.umk.edu.my/cgi/oai2