Informasi Umum

Kode

19.05.154

Klasifikasi

006.312 - Data mining

Jenis

Karya Ilmiah - Thesis (S2) - Reference

Subjek

Data Mining-advanced Topics

Informasi Lainnya

Abstraksi

Staple food material prices can be a trending topic in the market. The fluctuation of the price is influenced by many factors. For instance, the weather, oil price, and etc. are the external influence factors of the staple food price. Indeed, the prediction of staple food fluctuation price is important for the farmers, consumers, even government. In this paper, the Linear Regression and Fourier models with ARIMA (Autoregressive Integrated Moving Average) is used to predict the staple food prices which consider the external influence factors. The study applies two methods and the results show that the prices are matched well with the results of price observation at the market. However, in predicting the prices using Fourier regression with ARIMA, the staple food of green cayenne pepper achieved the highest accuracy of 94.75%. Meanwhile, using multiple linear regression with ARIMA, staple food onion obtained of 97.89%. Overall, in this research, Fourier regression with ARIMA is better than multiple linear regression with ARIMA method on 5 (five) of 6 (six) staple food material prices, since the accuracy of Fourier regression with ARIMA is quite stable without disturbance of fluctuation existing data.

Keywords: Staple food materials, External price fluctuation influence factors, ARIMA, multiple linear regression, Fourier regression

  • CSH533 - ANALISA ALGORITMA
  • CSH5D3 - ANALISIS BIG DATA
  • CSH6F3 - INTELLIGENT BIG DATA MINING
  • CSH553 - KOMPUTASI SOSIAL
  • MTH502 - MANAJEMEN BISNIS TIK
  • MTH503 - METODOLOGI PENELITIAN
  • CSH513 - PEMODELAN DAN OPTIMASI
  • CSH563 - PRATESIS I
  • CSH613 - PRATESIS II
  • CSH522 - PROYEK
  • CSH5E3 - SCIENCE OF ONLINE NETWORK
  • CSH573 - SISTEM CERDAS LANJUT
  • CSH583 - STATISTIKA DAN ANALISIS DATA
  • CSH623 - TESIS
  • CSH6V3 - TOPIK KHUSUS DALAM SOCIAL COMPUTING-1
  • IEH3N2 - PRAKTIKUM PERANCANGAN BISNIS DAN FASILITAS INDUSTRI
  • IEH4G2 - PERANCANGAN PROSES BISNIS
  • IEH4CC3 - PERANCANGAN PROSES BISNIS LANJUT
  • IEH4EF3 - SISTEM BISNIS RETAIL
  • IEH4GB5 - PENGEMBANGAN INISIATIF BISNIS
  • IEI5F3 - PERANCANGAN PROSES BISNIS
  • IEI443 - PENGEMBANGAN INISIATIF BISNIS
  • CII632 - PROYEK
  • CII6F3 - ANALISIS BIG DATA
  • CII733 - TESIS
  • CII632 - PROYEK
  • CII6F3 - ANALISIS BIG DATA
  • CII733 - TESIS
  • TTI7Z4 - TESIS
  • CII9H5 - PENELITIAN DISERTASI DAN SEMINAR 1
  • CII9J5 - PENELITIAN DISERTASI DAN SEMINAR 2
  • CII9L5 - PENELITIAN DISERTASI DAN SEMINAR 3
  • CII9I1 - PENULISAN PUBLIKASI ILMIAH 1
  • CII9K2 - PENULISAN PUBLIKASI ILMIAH 2
  • CII9M3 - PENULISAN PUBLIKASI ILMIAH 3

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Pengarang

Nama SAID FADLAN ANSHARI
Jenis Perorangan
Penyunting PUTU HARRY GUNAWAN, YANTI RUSMAWATI
Penerjemah

Penerbit

Nama Universitas Telkom, S2 Informatika
Kota Bandung
Tahun 2019

Sirkulasi

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