JEECS (Journal of Electrical Engineering and Computer Sciences)
Vol. 3 No. 1 (2018): JEECS (Journal of Electrical Engineering and Computer Sciences)

Forecasting Sales Prices Appartment Using Fuzzy Tsukamoto (case Study My Tower Apartment)

Ayu Purnamasari (Universitas Bhayangkara Surabaya)
Wiwiet Herulambang (Universitas Bhayangkara Surabaya)
R Dimas Adityo (Universitas Bhayangkara Surabaya)



Article Info

Publish Date
29 Jun 2018

Abstract

Currently apartment buildings are not foreign anymore we see let alone in the middle of the city. The price is still fairly cheap or under the price of housing makes a lot of interest to have an apartment either for personal or investment. Each developer has a strategy to attract buyers whether it increases or decreases the price of the apartment in each period or every year. The research was conducted to help the company change the price of the apartment by using method Fuzzy Tsukamoto based on input-an Inflation Value in the year to be predicted, View apartment, and Sales Price before. The results here show that for the output of the program is different from the original data, that is more expensive or the price is higher than the original data. There is an ratio of error 0.7609184% to -0.334665% or difference between Rp.200.000.000 to Rp.400,000.

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Journal Info

Abbrev

jeecs

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

We aims to promote high-quality Electrical Engineering and Computer Sciences research among academics and practitioners alike, including power system, electrical engineering, industry automation, mechatronics, computer sciences, informatics, and information system. This journal is dedicated for the ...