Kharisma Tech
Vol 14 No 1 (2019): Jurnal KHARISMA Tech

PERBANDINGAN METODE FUZZY SUGENO DENGAN FUZZY TSUKAMOTO PADA SISTEM PREDIKSI HARGA SMARTPHONE BEKAS BERBASIS ANDROID DI WILAYAH MAKASSAR

Samuel Pinontoan (STMIK KHARISMA Makassar)
Izmy Alwiah Musdar (STMIK KHARISMA Makassar)
Hasniati (STMIK KHARISMA Makassar)

Article Info

Publish Date
01 Apr 2019

Abstract

This study aims to compare the Fuzzy Sugeno and Fuzzy Tsukamoto methods in the used android smartphone price prediction system based on Android in the Makassar region. The expected benefits of this research are as a service to get used Smartphone price information and pricing before the transaction. The theorems / methods used in this study are Fuzzy Sugeno and Fuzzy Tsukamoto. The research began by designing the Unified Modeling Language (UML). This program is tested using the Black Box Testing and testing method directly in the field. Based on the results of the study it can be concluded that the Fuzzy Sugeno method produces a better predictive value than the Fuzzy Tsukamoto method, with the MAPE value of 11.8% compared to 25.67%.

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Journal Info
Kharisma Tech
Website

Abbrev

kharismatech

Publisher

Sekolah Tinggi Manajemen Informatika dan Komputer Kharisma

Subject

Computer Science & IT Engineering

Description

Jurnal Ilmu Komputer merupakan jurnal yang menampung hasil penelitian di bidang informatika dan sistem informasi, mencakup : - Sistem Informasi - Informatika - Teknologi Informasi - Ilmu Komputer - Software ...