The tourism industry in Malaysia has been growing significantly over the years. Tourism has been one of the major donors to Malaysia’s economy. Based on the report from the Department of Statistics, a total of domestic visitors in Malaysia were recorded at about 221.3 million in 2018 with an increase of 7.7% alongside a higher record in visitor arrivals and tourism expenditure. This study aims to make a comparison between two methods, which are Fuzzy Time Series and Holt-Winter in forecasting the number of tourist arrival in Langkawi based on the monthly tourist arrival data from January 2015 to December 2019. Both models were generated using Microsoft Excel in obtaining the forecast value. The Mean Square Error (MSE) has been calculated in this study to get the best model by looking at the lowest value. The result found that Holt-Winter has the lowest value that is 713524285 compared to the Fuzzy Time Series with a value of 2625517469. Thus, the Holt-Winter model is the best method and has been used to forecast the tourist arrival for the next 2 years. The forecast value for the years 2020 and 2021 are displayed by month.
This study aims to explore the use of mobile application in enhancing the communication between parents and teachers during the Covid-19 pandemic. The mobile application is specifically designed for Parent Teacher Associations (PTA), named PTA-MA that enable them to manage their activities and hence, communicate with members. Minimum Viable Product (MVP) method was used for the development of prototype of PTA-MA application. Two online surveys using Google Form were conducted in several schools. First survey is to get PTA feedbacks on the willingness to use as well as perceived usefulness of the PTA-MA application. Positive feedbacks from the preliminary survey on the willingness to use had triggered the researcher to develop a prototype of mobile application to be used by PTA to enhance their communication especially during pandemic. As a result, a prototype of PTA-MA was produced. Second online survey was conducted to obtain the PTA's views on the prototype built. The survey showed significant results that at least 80.6% of the respondents are confident that the PTA-MA application is able to further enhance the communication among PTA members and they are also agreed to support the use of PTA-MA by PTA. Therefore, the development and implementation of PTA-MA needs to be treated as a special project because it significantly impacts the schools, PTAs and to the Ministry of Education Malaysia towards the transformation of the education system as stated in the Malaysia Education Blueprint 2013-2025.
Malaysia enters the endemic phase of Covid-19 on 1st April 2022. Since then, the Malaysia’s economy has started to recover, and domestic tourism has also restarted. Tourism is one of the factors that contributed to the economy. Avoiding the headache to plan their own trips, tourists usually count on tour operators to turn their dream vacations into realities. Booking a tour is the easiest way for a traveller to experience a foreign land and at the same time they could enjoy their vacation and visit the best spots. The main objective of this study is to determine the main criteria of a tour packages in Langkawi Island by using Fuzzy Analytical Hierarchy Process (FAHP). The five criteria identified are transportation, cost, food service, accommodation, and tour guide. Results showed that the transportation is the most important criteria a tourist look forward in the selection of a tour package.
The optimal number of lymph nodes removed in maximizing the survival of breast cancer patients AIP Conference Proceedings 1605, 40 (2014) Abstract. This paper addresses the inventory routing problem (IRP) with a many-to-one distribution network, consisting of a single depot, an assembly plant, and geographically dispersed suppliers where a capacitated homogeneous vehicle delivers a distinct product from the suppliers to fulfill the demand specified by the assembly plant over the planning horizon. The inventory holding cost is assumed to be product specific and only incurred at the assembly plant. Two metaheuristics comprise of artificial bee colony (ABC) and scatter search (SS) algorithms are proposed to solve the problem. Computational testing on instances which represents small, medium, and large data sets show that the ABC algorithm performs slightly better when compared the SS overall except for fifty suppliers problems.
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