Segmentasi Penilaian Kompetensi Alumni Stt-Pln Menggunakan Model Klaster Fuzzy Clustering Means (Fcm)

KILAT

View Publication Info
 
 
Field Value
 
Title Segmentasi Penilaian Kompetensi Alumni Stt-Pln Menggunakan Model Klaster Fuzzy Clustering Means (Fcm)
 
Creator Kusuma, Dine Tiara
BM Sangadji, Iriansyah
 
Description Manpower needs of the company will be reliable and quality from year to year is always increasing. Where the requirements in the workforce is not only in the field of academic, non-academic ability also is of no less importance after the alumni entering the workforce. Therefore, STT-PLN is required to produce a qualified workforce and have high competitiveness in their field. In order to obtain maximum results is then, in need of harmony between education and field of work of the graduates as well as the necessary harmony between the academic ladder STT-PLN graduates with non-academic level is the main requirement in obtaining employment. To obtain this information then dibutukan further research on the level of competence of alumni with the working world markets. This research will use Fuzzy Clustering Means clustering method (FCM) to obtain information about the competencies needed in the world of work. The number of clusters formed is as much as three clusters in which, of the three clusters that have been produced will find the best cluster. The best member of the cluster will be a priority competencies that will be applied in the field of learning in STT-PLN. From the calculation of the index XB it can be concluded that the cluster 3 is the best cluster. Where members of the cluster 3 may be a priority concern for decision makers in determining policy on the application of learning methods to the lecturer / lecturer / educator in applying methods of learning to the learning process of students not only gain competency in the academic field but also in the field non-academic indirectly. Because based on survey results that competency is a point which is not less important in addition to competency in the academic field.
 
Publisher Sekolah Tinggi Teknik - PLN
 
Date 2019-10-10
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://stt-pln.e-journal.id/kilat/article/view/685
10.33322/kilat.v5i2.685
 
Source KILAT; Vol 5 No 2 (2016): KILAT; 88-96
2655-4925
2089-1245
10.33322/kilat.v5i2
 
Language eng
 
Relation https://stt-pln.e-journal.id/kilat/article/view/685/424
 
Rights Copyright (c) 2019 KILAT
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library