
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 individual’s 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 Cronbach’s Alpha value of 0.83, stating that the test results are considered reliable. Also, validity test results confirms the validity of the obtained data.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
