• Kevin Arista Chandra Program Studi Informatika, Universitas Multimedia Nusantara
  • Seng Hansun Program Studi Informatika, Universitas Multimedia Nusantara


The invention of computers has revolutionalized our lives. As technological advancements continues to develop, computers had been shrinking in size as PC computers had developed into laptop computers. In order to collect information on an individuals behavior as well as preferences when it comes to their choice on laptops, a survey is conducted through questionnaire distribution. The survey result states that a majority of the respondents had claimed to have experienced difficulties in choosing a laptop that fits their personal preferences. Based on the aforementioned issues, a web based laptop recommender system is built as a solution. The aforementioned system was built using WASPAS Method which is a unique combination of the WSM method and WPM method. This method has been proven to be successfully implemented as a solution for MCDM (Multi Criteria Decision Making) problems. Programming languages used in the development of this system are HTML, PHP, and Javascript. User satisfaction test results indicated mostly positive responses from the respondents towards the system. The user satisfaction test results has the Cronbachs Alpha value of 0.83, stating that the test results are considered reliable. Also, validity test results confirms the validity of the obtained data.

Keywords: Laptop, MCDM, Recommendation System, WASPAS, Website


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How to Cite
K. Chandra and S. Hansun, “LAPTOP SELECTION RECOMMENDATION SYSTEM USING THE WASPAS METHOD”, JurnalEcotipe, vol. 6, no. 2, pp. 76 - 81, Oct. 2019.
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