ANALISIS PERALIHAN PELANGGAN MENGGUNAKAN METODE LIGHTGBM DAN COX PROPORTIONAL HAZARD DI PT KASIR PINTAR INTERNASIONAL

Illah, Ibnu Zahy' Atha (2024) ANALISIS PERALIHAN PELANGGAN MENGGUNAKAN METODE LIGHTGBM DAN COX PROPORTIONAL HAZARD DI PT KASIR PINTAR INTERNASIONAL. Undergraduate thesis, UPN Veteran Jawa Timur.

	Text (cover) 20083010016.-cover.pdf Download (457kB)
	Text (bab 1) 20083010016.-bab1.pdf Download (112kB)
	Text (bab 2) 20083010016.-bab2.pdf Restricted to Repository staff only until 30 May 2026. Download (564kB)
	Text (bab 3) 20083010016.-bab3.pdf Restricted to Repository staff only until 30 May 2026. Download (230kB)
	Text (bab 4) 20083010016.-bab4.pdf Restricted to Repository staff only until 30 May 2026. Download (1MB)
	Text (bab 5) 20083010016.-bab5.pdf Download (29kB)
	Text (daftar pustaka) 20083010016.-daftarpustaka.pdf Download (184kB)
	Text (lampiran) 20083010016.-lampiran.pdf Restricted to Repository staff only Download (469kB)

Abstract

Increasingly fierce competition in the business world encourages every sector to utilize relevant technology to maintain its market share. The success of a company is often measured by the strength of its customer network. Customer churn can cause a significant decrease in revenue and can even threaten the company's existence. This research aims to analyze customer churn to prevent this phenomenon from occurring. The methods used in the research are LightGBM for classifying customers and the Cox Proportional Hazard model for projecting customer retention. By conducting analysis using these two methods, the author can provide strategic recommendations to companies to prevent customer churn. This research produced a LightGBM classification model that achieved Accuracy, Precision, Recall, F1-score, and AUC values of 0.964, 0.971, 0.990, 0.980, and 0.965, respectively. Additionally, the Cox Proportional Hazard model has a C-index evaluation value of 0.83. The Cox Proportional Hazard model also indicates that current non-churn customers have an average retention expectation of 15 months. Recommended strategies that companies can implement to prevent customer churn are based on the five most important features, RFM segmentation, and retention expectations.

Item Type:

Thesis (Undergraduate)

Contributors:

Contribution	Contributors	NIDN/NIDK	Email
Thesis advisor	Saputra, Wahyu Syaifullah Jauharis	NIDN198608252021211003	wahyu.s.j.saputra.if@upnjatim.ac.id
Thesis advisor	Damaliana, Aviolla Terza	NIDN199408022022032015	aviolla.terza.sada@upnjatim.ac.id

Subjects:

Q Science > QA Mathematics > QA76.6 Computer Programming

Divisions:

Faculty of Computer Science > Departemen of Data Science

Depositing User:

Ibnu Zahy' Atha Illah

Date Deposited:

30 May 2024 05:26

Last Modified:

30 May 2024 05:26

URI:

https://repository.upnjatim.ac.id/id/eprint/23490