<span>This paper presents the optimization of house purchase recommendation system (HRPS) using Genetic Algorithm. Everyone in this world has their own dream house and plan to purchase it depending on their budget and based on the house preferences. Homebuyers face problem in comparing the house property websites according to the factors during the house survey. Subsequently, it is time-consuming in making the decision and they need to bear the transportation cost as they will need to travel to one house developer office to another. In addition, some of the homebuyers felt disappointed when their expectations were not met. Thus, in order to optimize the preferences, in this paper, we present a web-based house purchase recommendation system (HPRS) using a genetic algorithm. Then, it follows by test the functionality and usability of the system. As a result, the system found to function accordingly and obtain more than the average score of system usability scale testing. For further research, it is recommended to add more data to the database and compare with other algorithms.</span>
Since the rapid emergence of foresight in the 90s, Malaysia has involved in such practices. However, little is known about Malaysia's foresight initiative. The foresight initiative conducted by Malaysia since its inception in 1997 until Malaysia's first technology foresight initiative at the national level in 2010 does not clearly show its position of its foresight initiative. The details of it and the way it is utilized are unknown at this point. This research aims to address this by providing a case study of foresight in Malaysia.
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