Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal JISKa (Jurnal Informatika Sunan Kalijaga)
Moch Shandy Tsalasa Putra
Universitas Muhammadiyah Malang
Computer Science & IT Electrical & Electronics Engineering Library & Information Science

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

Found 1 Documents
Search

 1 
Perbandingan Model Logistic Regression dan Artificial Neural Network pada Prediksi Pembatalan Hotel Moch Shandy Tsalasa Putra; Yufis Azhar
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 6 No. 1 (2021): Januari 2021
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.599 KB) | DOI: 10.14421/jiska.2021.61-04

Abstract

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.
Co-Authors Yufis Azhar