eprintid: 63478
rev_number: 10
eprint_status: archive
userid: 12243
dir: disk0/00/06/34/78
datestamp: 2024-02-06 05:28:25
lastmod: 2024-02-06 05:28:25
status_changed: 2024-02-06 05:28:25
type: thesis
metadata_visibility: show
contact_email: muchti.nurhidaya@uin-suka.ac.id
creators_name: Fata Nabil Fikri, NIM.: 19106050034
title: IMPLEMENTASI LONG SHORT TERM MEMORY (LSTM) UNTUK PREDIKSI HARGA CABAI DI PROVINSI JAWA TIMUR
ispublished: pub
subjects: TB
divisions: jur_tinf
full_text_status: restricted
keywords: LSTM; chili prices; groceries; neuron
note: PEmbimbing;Nurochman, S. Kom, M. Kom.
abstract: In Indonesia, groceries have fluctuating or unstable prices over time and each region has different prices from other regions. One of groceries commodity that often encounter price instability is chili commodities. For this reason, the prediction for chili prices can be taken to estimate the next price so that the appropriate strategy can be taken. In this era of computing evolution, prediction can be carried out using machines through a machine learning process, especially the use of the LSTM artificial neural network for chili price predictions. In this research, experimental testing was carried out regarding hyperparameters and the structure of the LSTM network itself which was used to predict prices for two types of chilies in East Java Province, namely red chilies and rawit chilies. The results of this research show that the best hyperparameter configuration and network structure are the same for each type of chili price data tested. Red chili price data shows the best RMSE average value of 1751.690, while rawit chili price data shows the best RMSE average value of 1888.741.
date: 2023-10-18
date_type: published
pages: 132
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   Fata Nabil Fikri, NIM.: 19106050034  (2023) IMPLEMENTASI LONG SHORT TERM MEMORY (LSTM) UNTUK PREDIKSI HARGA CABAI DI PROVINSI JAWA TIMUR.  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/63478/1/19106050034_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/63478/2/19106050034_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf