Johannes Christian, . (2022) IMPLEMENTASI PENGGUNAAN ALGORITMA CATEGORICAL BOOSTING (CATBOOST) DENGAN OPTIMISASI HIPERPARAMETER DALAM MEMPREDIKSI PEMBATALAN PESANAN KAMAR HOTEL. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Online Travel Agent (OTA) which has grown into an application to make it easier for people to book hotel rooms online has a significant impact on hotel management. This convenience makes visitors do multiple-booking which results in a high rate of cancellation of hotel room orders. The overbooking strategy implemented by hotel management requires a high level of accuracy in estimating visitors who cancel orders. Therefore, this research will focus on this problem using a machine learning model with the CatBoost algorithm. In the process of classifying data, it is necessary to clean the data through the data preparation process. After that, the data will be extracted and selected so that the data is ready to be used to train machine learning. To improve the performance of the model, the RandomizedSearchCV hyperparameter optimization was applied to the CatBoost model. The results of the evaluation with the confusion matrix are 88% accuracy and 86% precision. By using SHAP from CatBoost, produced the characteristics of hotel room orders that have a high chance of being canceled.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1810511068] [Pembimbing: Iin Ernawati] [Penguji 1: Didit Widiyanto] [Penguji 2: Yuni Widiastiwi] |
| Uncontrolled Keywords: | Hotel, Overbooking, CatBoost, Hyperparameter Tuning |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Johannes Christian |
| Date Deposited: | 23 Aug 2022 04:06 |
| Last Modified: | 23 Aug 2022 04:06 |
| URI: | http://repository.upnvj.ac.id/id/eprint/19688 |
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