Tenant complaints are critical for property management companies, and they must be resolved immediately to maintain tenant satisfaction levels. However, keeping a close watch on long and unstructured complaints on any textual records is quite challenging. Hence, this paper aimed to visualise frequent issues raised in the complaints and classify complaints using text mining approaches. Analysis was done on three-month complaint records from a property management company in Shah Alam, Malaysia. The result showed that light is the most frequent word in tenant complaints, followed by water. The high frequency of the two words indicated that recurring issues raised by the tenant are regarding lighting and water problems associated with leaking pipes. In addition, complaints can be classified into four groups: light, sink, door and toilet problems. This study uses a well-established text mining technique to analyse and evaluate the voice of tenants. The information acquired through text mining analysis highlighted current issues that require the property management's attention.
The tourism industry plays an important role in the economic growth of countries all around the world including Malaysia. Thus, identifying tourist most preferred travel destination based on a set of travel criteria assist in the strategy of marketing and promoting a travel destination. The objective of this paper is to propose a survey design to determine the most important travel criteria for selecting travel destinations in the state of Perak, Malaysia. The Analytical Hierarchy Process (AHP) was employed and the decision problem was structured into a threelevel hierarchy consists of the goal, travel criteria and travel alternatives. The study had identified three travel destinations namely Ipoh, Kuala Kangsar and Pulau Pangkor and four travel criteria; beauty, cost, transportation and accommodation. Respondents consist of tourists of Perak were required to answer a set of questionnaires to provide pairwise comparison scores of travel criteria and travel destinations based on 1 -9 scale. This paper shares strategy in travel's choice problem formulation and questionnaire design.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.