KLASIFIKASI TINGKAT KEPUASAN PELANGGAN SAT & SUN : THE ALMEATY SERVICE MENGGUNAKAN METODE NAIVE BAYES

Putri, Mariska Regina Rahma (2024) KLASIFIKASI TINGKAT KEPUASAN PELANGGAN SAT & SUN : THE ALMEATY SERVICE MENGGUNAKAN METODE NAIVE BAYES. Undergraduate thesis, UPN Veteran Jawa Timur.

	Text (Cover) 19082010069-cover.pdf Download (4MB)
	Text (Bab 1) 19082010069-bab1.pdf Download (153kB)
	Text (Bab 2) 19082010069-bab2.pdf Restricted to Repository staff only until 9 July 2026. Download (150kB)
	Text (Bab 3) 19082010069-bab3.pdf Restricted to Repository staff only until 9 July 2026. Download (128kB)
	Text (Bab 4) 19082010069-bab4.pdf Restricted to Repository staff only until 9 July 2026. Download (1MB)
	Text (Bab 5) 19082010069-bab5.pdf Download (132kB)
	Text (Daftar Pustaka) 19082010069-daftarpustaka.pdf Download (86kB)

Abstract

Sat & Sun : The Almeaty Service is a semi-café restaurant with a retro pop theme located on Jalan Bawean No.37, Surabaya City. Sat & Sun: The Almeaty Service does not yet have data regarding customer opinions and processes it to provide an overview of product satisfaction and the services provided. The problem faced by Sat & Sun: The Almeaty Service is that Sat & Sun: The Almeaty Service has not been able to obtain and process data related to customer satisfaction and is expected to improve service and product development. This research aims to conduct sentiment analysis based on the opinions of customers who have filled out a questionnaire via Googleform regarding their satisfaction when visiting Sat & Sun: The Almeaty Service. The data that has been obtained is then processed using Python software with the first stage, namely preprocessing. After passing the preprocessing stage, classification is carried out using Naive Bayes and for the final stage an evaluation will be carried out using a confusion matrix to see the results of the algorithm's accuracy. This research is a classification of customer satisfaction opinions when visiting Sat & Sun: The Almeaty Service based on filling out a questionnaire that was distributed to get 1020 respondents. Classification results of customer satisfaction levels when visiting Sat & Sun: The Almeaty Service using Multinomial Naive Bayes 80:20. which shows: The level of customer satisfaction with vehicle access to Sat & Sun: The Almeaty Service (Q1) has an accuracy of 80%, The level of customer satisfaction with the parking space at Sat & Sun: The Almeaty Service (Q2) has an accuracy of 75%, Level of customer satisfaction with the cleanliness of the Sat & Sun area: The Almeaty Service (Q3) has an accuracy of 78%, Level of customer satisfaction with the service of Sat & Sun employees: The Almeaty Service (Q4) has an accuracy of 76%, Level of customer satisfaction with the quality of Sat & Sun products Sun : The Almeaty Service (Q5) has 76% accuracy. So it shows that the Naive Bayes model can classify customer satisfaction quite well. Keywords : Classification, Satisfaction Level, Customers, Sat & Sun : The Almeaty Service, Naive Bayes

Item Type:

Thesis (Undergraduate)

Contributors:

Contribution	Contributors	NIDN/NIDK	Email
Thesis advisor	Kartika, Dhian Satria Yudha	NIDN0722058601	dhian.satria@upnjatim.ac.id
Thesis advisor	Wati, Seftin Fitri Ana	NIDN0020039104	seftin.fitri.si@upnjatim.ac.id

Subjects:

Q Science > QA Mathematics > QA75 Electronic computers. Computer science

Divisions:

Faculty of Computer Science > Departemen of Information Systems

Depositing User:

Mariska Regina RahmaPutri

Date Deposited:

09 Jul 2024 07:08

Last Modified:

09 Jul 2024 07:08

URI:

https://repository.upnjatim.ac.id/id/eprint/25633