Implementation of Simple Additive Weighting Method and Technique Order Preference by Similarity to Idela Solution for Giving Website Based Motorcycle Recommendations Esa Firmansyah (1,2,3), Bambang Tri Yuda (1), Diena Rauda Ramdania (1), Nur Lukman (1)
1 Department of Informatics, UIN Sunan Gunung Djati Bandung, Bandung, Indonesia
2 Department of Informatics, STMIK Sumedang, Sumedang, Indonesia
3 School of Science and Technology Asia e Universitas Wisma Subang Jaya, Malaysia
Abstract
Transportation is the most important requirement for the community. Of the many means of transportation that have the type of motorbike vehicles most widely used because the price is affordable, flexible, and faster to use especially for urban areas in order to avoid congestion. Many motorcycle vehicle manufacturers such as YAMAHA, HONDA, SUZUKI, KAWASAKI, and others. Motorcycle vehicles have several types such as automatic, sports, cub, road bike and offroad vehicles. Of the many motorcycle vehicles that make buyers or potential users of motorcycle vehicles become confused in determining the suitable vehicle in accordance with the desired criteria. The concept of calculation from the combination of the Simple Additive Weighting (SAW) method and the Technique Order Preference by Similarity to Ideal Solution (TOPSIS) method starts from the calculation of the normalized matrix R using the SAW method and continues with the Y normalized matrix calculation the TOPSIS method is continued by determining the solution of positive ideas and a negative idea solution and determine the distance of a positive idea and the distance of a negative idea, then the preference value of each alternative is obtained. From the results of testing the algorithm and testing of the system, valid results are obtained for both, in the sense that the system can run in accordance with the scales that have been made, seen from the 6 test tests it can be concluded that all sample tests show valid results.
Keywords: Combining the SAW method and the TOPSIS method, motorcycle vehicles, motorcycle vehicle recommendations
