ANALISIS FAKTOR YANG MEMPENGARUHI KEPUASAN PEGAWAI DINAS PANGAN: PENDEKATAN MENGGUNAKAN ALGORITMA C4.5

TONGKU HAMONANGAN HARAHAP, NPM 2009100153 (2024) ANALISIS FAKTOR YANG MEMPENGARUHI KEPUASAN PEGAWAI DINAS PANGAN: PENDEKATAN MENGGUNAKAN ALGORITMA C4.5. Tugas_Akhir (Artikel) INFORMATIKA : Universitas Labuhanbatu, 12 (3). pp. 480-491. ISSN 2615-1855 (e-ISSN)/ 2303-2863 (p-ISSN)

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Abstract

The level of satisfaction is an important measure in evaluating the extent to which the needs ad expectations of a person or group are met by a product, service, or experience. The concept is often used in a business context to measure how well a product or service meets customer expectations. The level of satisfaction can be measured through various methods such as surveys, interviews or analysis of consumer behavior data. The results of this satisfaction level evaluation provide valuable insights for companies in improving the quality of their products or services, as well as maintaining customer loyalty. Therefore, the author will conduct a study on the level of employee satisfaction Department of food using machine learning approach with C4.5 method. This study aims to explore the patterns and factors that significantly affect the level of employee satisfaction in the context of the Department of food. The C4.5 method was chosen because of its ability to handle complex and diverse data, as well as being able to provide insight into the relationship of complex and non-linear variables. Keywords : Employee Satisfaction, Data Mining, Algorithm C4.5

Item Type:	Article
Uncontrolled Keywords:	Employee Satisfaction, Data Mining, Algorithm C4.5
Subjects:	Z Bibliography. Library Science. Information Resources > ZA Information resources Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Divisions:	Fakultas Sains Dan Teknologi > Sistem Informasi
Depositing User:	Unnamed user with email repository@ulb.ac.id
Date Deposited:	30 Oct 2024 03:00
Last Modified:	30 Oct 2024 03:00
URI:	http://repository.ulb.ac.id/id/eprint/1194

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