IMPLEMENTASI LOGIKA FUZZY DALAM RECRUITMENT ASISTEN LABORATORIUM MENGGUNAKAN METODE C-MEANS (STUDI KASUS: TEKNIK INFORMATIKA UNIVERSITAS TANJUNGPURA)
Abstract: Clustering is the
process of grouping the data into classes or clusters so that the data in a
cluster has a high degree of similarity to one another but very different from
the data in another cluster. There are some data that must be managed in a
system that makes data service students, academic potential test data,
calculation of fuzzy cmeans logic, and classification of student skills. This
laboratory assistant recruitment system can assist in recruiting staff and
faculty lab assistant. This system was developed using the programming language
PHP with My SQL database. So that the system in the form of web site
development. The purpose of this study is to produce a laboratory assistant
recruitment application based website and using fuzzy logic with c-means
method. The output of this application form of the cluster candidates
laboratory assistants, and data used in this application is only of academic
data and the data of the student's academic potential Prodi Information
Engineering University Tanjungpura the register. Based on the results of user
testing using Likert scale on the level of access of applicants obtained an
average value of 20.36, at the Administrator level obtained value 53, and the
level of the head of the laboratory obtained an average value 21. This value
indicates that the lab assistant recruitment system using fuzzy c -means very
good to be implemented.
Penulis: Rizkya Bina Islamiati
Kode Jurnal: jptinformatikadd150013
