Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Prosiding Snastikom
Nafila Hayati Lubis
Universitas Harapan Medan
Computer Science & IT Library & Information Science

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Implementasi Model Recurrent Neural Network Dalam Melakukan Prediksi Harga Kartu Perdana Internet Dengan Menggunakan Algoritma Long Short Term Memory Nafila Hayati Lubis; Yessi Fitria Annisah Lubis
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.982 KB)

Abstract

The development of the internet starter pack business has finally shown a symptom, namely the increasing number and variety of internet starter packs made by provider companies with various types, features and facilities that are more complete and bonuses given. With the Recurrent Neural Network method, it is an artificial neural network architecture that has been proven to perform well because the processing is called repeatedly to process sequential data input. Using the Long Short Term Memory algorithm to predict the price of internet starter packs that will be generated through raw data that is used as input. The results of the study predict the price of internet starter packs with 70% training data (529) and 30% test data (226) with a total of 755 data from August to December, with forecasting time series epochs 100, hidden layer 32, batch size 64 overall predictions the price of an internet starter pack is 52,500 to 67,000 using the RNN and LSTM methods
Co-Authors Yessi Fitri Annisah Lubis