Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika
Vol. 16 No. 1 (2022): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform

PERBANDINGAN WAKTU EKSEKUSI PERAMALAN HARGA KOMODITAS PANGAN MENGGUNAKAN SPARKR DAN R STUDIO

Dedy Sugiarto (Universitas Trisakti)
Dimmas Mulya (Unknown)
Abdul Rochman (Unknown)
Is Mardianto (Unknown)

Article Info

Publish Date
31 Jan 2022

Abstract

The arrival of the big data era with characteristics such as large volumes of data makes the calculation of execution time a concern when carrying out data analytics processes, such as forecasting food commodity prices. This study aims to examine the effect of the big data framework through the use of sparkR. The test is carried out by varying several deep learning forecasting models, namely the multi-layer perceptron model and by using the price of one food commodity from 2018 to 2020. The results show that sparkR is significantly shorter its execution time when compared to R studio. The results of testing the influence of the MLP model also show that a model with two hidden layers with a maximum node of 13 nodes in hidden layers 1 and 2 produces the longest execution time compared to only using 1 hidden layer with 5 nodes or using two hidden layers with a number of nodes of 5 and 3.

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Journal Info
Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika
Website

Abbrev

JTI

Publisher

Universitas Palangka Raya

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science

Description

Jurnal Teknologi Informasi (JTI) diterbitkan adalah Jurnal Jurusan Teknik Informatika Universitas Palangka Raya dengan ISSN 1907-896X, E-ISSN 2656-0321. Jurnal Teknologi Informasi (JTI) merupakan Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika yang menyajikan hasil penelitian yang fokus pada ...