KOMPARASI ALGORITMA LOGISTIC REGRESSION DAN NAIVE BAYES UNTUK MENYELEKSI MELAMAR PEKERJAAN PERUSAHAAN BESAR BAGI ALUMNI SMK
Main Article Content
Abstract
Vocational High School is one of the levels of secondary education with specialization preparing graduates to be ready to work. Vocational education has varied meanings but can be seen as a red thread. There are a lot of alumni from Vocational Schools who after they graduate want jobs in large companies so they can get a fairly large salary. Large companies have several criteria in finding employees. Not all large companies can accept alumni fromSMK so easily. Large companies have several requirements in selecting or selecting employees, eg 1) have good grades in subjects, 2) skills in engineering, 3) skills in communication, and 4) in attitude must have good atitude. Therefore the Vocational School students are trained to be ready to work with good skills and good atitude.
In this study, the proposed method used is the Naive Bayes Aggression and logistic regression.
Article Details
Copyright Notice
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).