Affiliations 

  • 1 Department of Medical Microbiology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Seri Kembangan, Selangor, Malaysia
  • 2 Department of Mathematical Science, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM) Kampus Seremban, Seremban, Malaysia
  • 3 Department of Computer Science, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM) Kampus Seremban, Seremban, Malaysia
  • 4 Department of Basic Medical Sciences 2, Faculty of Medicine & Health Sciences, Universiti Sains Islam Malaysia, Nilai, Negeri Sembilan, Malaysia
  • 5 Department of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Seri Kembangan, Selangor, Malaysia
  • 6 Department of Biology, Faculty of Science, Universiti Putra Malaysia, Seri Kembangan, Selangor, Malaysia
PLoS One, 2021;16(9):e0256896.
PMID: 34469489 DOI: 10.1371/journal.pone.0256896

Abstract

Determining the level of customer satisfaction in cleanliness regarding a product or service is a significant aspect of businesses. However, the availability of feedback tools for consumers to evaluate the cleanliness of a restaurant is a crucial issue as several aspects of cleanliness need to be evaluated collectively. To overcome this issue, this study designed a survey instrument based on the standard form used for grading the food premises and transformed it into a seven Likert scale questionnaire and consists of seven questions. This study employed fuzzy conjoint analysis to measure the level of satisfaction in cleanliness in food premises. This pilot study recruited 30 students in Universiti Teknologi MARA (UiTM) Seremban 3. The student's perception was represented by the scores calculated based on their degree of similarities and corresponding levels of satisfaction, whereby, only scores with the highest degree of similarity were selected. Furthermore, this study identified the aspects of hygiene that assessed based on the customers' satisfaction upon visiting the premises. The results indicated that the fuzzy conjoint analysis produced a similar outcome as the statistical mean, thus, was useful for the evaluation of customer satisfaction on the cleanliness of food premises.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.