SISTEM REKOMENDASI PEMBELIAN SMARTPHONE DENGAN MENGGUNAKAN FUZZY DATABASE TAHANI BERBASIS WEBSITE

Ahmad Ludfi Ni’am, NIM.: 15650030 (2022) SISTEM REKOMENDASI PEMBELIAN SMARTPHONE DENGAN MENGGUNAKAN FUZZY DATABASE TAHANI BERBASIS WEBSITE. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

Communication tools, especially smartphones / mobile phones, are currently needed by everyone in their lives, ranging from the need to help with work to the means of finding entertainment. However, the lack of information about smartphones that suit the needs they want is a problem for potential buyers. Therefore, a system is needed that can provide smartphone recommendations that suit the wishes of potential buyers. The recommendation method used is the fuzzy database of the Tahani model. This method allows handling data of a vague nature by following the human mind. The parameters used are price, brand, output year, OS UI, internal storage, RAM, processor type, processor speed, gpu type, network support, screen resolution, screen type type, screen protection, body material, main camera resolution, NFC, battery capacity, USB carger type, antutu score. The results of smartphone recommendations are taken from the value of membership or fire strength. The results of case experiments that have been carried out by comparing manual calculations and system calculations give the same or 100% accurate results. The difference in fuzzy sets (criteria) entered by each user will provide different recommendation values.

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