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Sistem Rekomendasi Pembelian Sepeda Motor Bekas Menggunakan Metode Fuzzy Tahani
Author(s) -
Yuli Murdianingsih,
Ulfah Sitiumayah
Publication year - 2020
Publication title -
jurnal ict : information communication and technology/jurnal ict (information communication and technology)
Language(s) - English
Resource type - Journals
eISSN - 2303-3363
pISSN - 2302-0261
DOI - 10.36054/jict-ikmi.v19i1.111
Subject(s) - reliability (semiconductor) , computer science , fuzzy logic , interface (matter) , recession , measure (data warehouse) , automotive engineering , reliability engineering , database , engineering , artificial intelligence , economics , operating system , physics , power (physics) , bubble , quantum mechanics , maximum bubble pressure method , keynesian economics
A used motorcycle is an option in the quest to buy a motorcycle, reliability is one factor. Accessibility means the size and the sum of the installment. Affordability is very important given the Covid-19 pandemic and economic recession, particularly in an environment of economic downturn. This research aims to establish a used motorcycle purchase recommendation system using the year's criteria for the manufacture of used motorcycles, prices,  and installments in the purchase of used motorcycles, as well as to assess how high the reliability of the used motorcycle purchase recommendation system is. Firstly, twenty used motor data were obtained which were used to analyze recommendations, secondly to determine the domain size, thirdly to determine the function and degree of membership for each parameter, fourth to measure fire intensity and fifth to determine recommendations for the purchase of used motorbikes. Testing device reliability using the MAE tool. The framework was implemented using the interface MySQL DBMS and PHP. Using the Fuzzy Tahani method, the search for used motorbikes can be carried out, with the benefit of providing the installment quantity parameter and fifty-eight percent of the device reliability for buying used motorcycles.  

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