Perbandingan Model Logistic Regression dan Artificial Neural Network pada Prediksi Pembatalan Hotel
Prediction for canceled booking hotels is an important part of hotel revenue management systems in the modern era. Because the predicted result can be used for the optimization of hotel performance. The application of machine learning will be very helpful for predicting canceled booking hotels becau...
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Format: | Article |
Language: | English |
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Universitas Islam Negeri Sunan Kalijaga Yogyakarta
2021-01-01
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Series: | JISKA (Jurnal Informatika Sunan Kalijaga) |
Online Access: | http://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/1966 |
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author | Moch Shandy Tsalasa Putra Yufis Azhar |
author_facet | Moch Shandy Tsalasa Putra Yufis Azhar |
author_sort | Moch Shandy Tsalasa Putra |
collection | DOAJ |
description | Prediction for canceled booking hotels is an important part of hotel revenue management systems in the modern era. Because the predicted result can be used for the optimization of hotel performance. The application of machine learning will be very helpful for predicting canceled booking hotels because machine learning can process complex data. In this research, the proposed methods are Artificial Neural Network (ANN) and Logistic Regression. Later it will be done five times experiments with hyperparameter tuning to see which method is the most optimal to do prediction canceled booking hotel. From five times experiments, experiments number five (logistic regression with GridSearchCV) is the most optimal for predicting canceled booking hotels, with 79.77% accuracy, 85.86% precision, and 55.07% recall. |
first_indexed | 2024-03-12T08:14:11Z |
format | Article |
id | doaj.art-b257145e613044d2bf0ea111b011db86 |
institution | Directory Open Access Journal |
issn | 2527-5836 2528-0074 |
language | English |
last_indexed | 2024-03-12T08:14:11Z |
publishDate | 2021-01-01 |
publisher | Universitas Islam Negeri Sunan Kalijaga Yogyakarta |
record_format | Article |
series | JISKA (Jurnal Informatika Sunan Kalijaga) |
spelling | doaj.art-b257145e613044d2bf0ea111b011db862023-09-02T19:00:12ZengUniversitas Islam Negeri Sunan Kalijaga YogyakartaJISKA (Jurnal Informatika Sunan Kalijaga)2527-58362528-00742021-01-016110.14421/jiska.2021.61-04Perbandingan Model Logistic Regression dan Artificial Neural Network pada Prediksi Pembatalan HotelMoch Shandy Tsalasa Putra0Yufis Azhar1Universitas Muhammadiyah MalangUniversitas Muhammadiyah MalangPrediction for canceled booking hotels is an important part of hotel revenue management systems in the modern era. Because the predicted result can be used for the optimization of hotel performance. The application of machine learning will be very helpful for predicting canceled booking hotels because machine learning can process complex data. In this research, the proposed methods are Artificial Neural Network (ANN) and Logistic Regression. Later it will be done five times experiments with hyperparameter tuning to see which method is the most optimal to do prediction canceled booking hotel. From five times experiments, experiments number five (logistic regression with GridSearchCV) is the most optimal for predicting canceled booking hotels, with 79.77% accuracy, 85.86% precision, and 55.07% recall.http://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/1966 |
spellingShingle | Moch Shandy Tsalasa Putra Yufis Azhar Perbandingan Model Logistic Regression dan Artificial Neural Network pada Prediksi Pembatalan Hotel JISKA (Jurnal Informatika Sunan Kalijaga) |
title | Perbandingan Model Logistic Regression dan Artificial Neural Network pada Prediksi Pembatalan Hotel |
title_full | Perbandingan Model Logistic Regression dan Artificial Neural Network pada Prediksi Pembatalan Hotel |
title_fullStr | Perbandingan Model Logistic Regression dan Artificial Neural Network pada Prediksi Pembatalan Hotel |
title_full_unstemmed | Perbandingan Model Logistic Regression dan Artificial Neural Network pada Prediksi Pembatalan Hotel |
title_short | Perbandingan Model Logistic Regression dan Artificial Neural Network pada Prediksi Pembatalan Hotel |
title_sort | perbandingan model logistic regression dan artificial neural network pada prediksi pembatalan hotel |
url | http://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/1966 |
work_keys_str_mv | AT mochshandytsalasaputra perbandinganmodellogisticregressiondanartificialneuralnetworkpadaprediksipembatalanhotel AT yufisazhar perbandinganmodellogisticregressiondanartificialneuralnetworkpadaprediksipembatalanhotel |