Clustering Majors for New Students at Vocational High School Muhammadiyah 3 Yogyakarta Using Fuzzy C-Means
Corresponding Author(s) : Rifqi Rahmatika Az-Zahra
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control,
Vol 3, No 3, August 2018
Abstract
The development of the era demands quality human resources. For that need to be equipped with the knowledge and skills to be ready to compete in the world of work. Vocational High School has many skills programs. Examples of skills programs in Vocational High School are Computer Network Engineering, Audio and Video Engineering, Mechanical Engineering, Building, Drawing Techniques, Motorcycle Engineering, Installation and Power Engineering, systems that can assist in the decision-making process of prospective students. The grouping system will be created using the Fuzzy C-Means method. Grouping majors using fuzzy c-means algorithm is expected to help prospective students choose majors from the many majors that exist. This is done so that prospective students do not experience difficulties in learning activities, can develop optimally and is expected to work in accordance with the expertise that has been owned, so that ultimately can improve the quality of output and outcome of vocational education. The results obtained in this study in the form of data grouped based on 3 clusters, so that prospective students can choose the majors in accordance with the selected cluster.
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- Djohar, A. Technology and Vocational Education. In Educational Science and Applications. Bandung: Pedagogiana Press. P. 1285-1300.2007.
- Fadlil, Abdul. "Comparison of Classification of Distance Function and Artificial Neural Networks on Facial Recognition System," SNATI (National Seminar on Information Technology Applications), ISSN: 1907-5022, 2007.
- Fadlil, Abdul. "An Automatic Identification System of Human Skin Irritation." TELKOMNIKA (Telecommunication Computing, Electronics and Control), Vol.8, No.3, 255-264., ISSN: 1693-6930, 2010.
- Gustina, S., Fadlil, A., & Umar, R. (2017). "Mushroom Identification System Using the Statistical Order Extraction Method 1 and Classification of Distance." Techno. Come, Vol.16, No. 4, 378-38678, 2017.
- Saifudin, S., & Fadlil, A. (2015) "Site Identification of Wood Based Image Using Gray Level Co-occurrence Matrix (Glcm) With Euclidean Distance Classification." SINERGI: Technical Journal of Mercu Buana, Vol. 19, No. 3,181-186, ISSN: 1410-233, 2015.
- Ahsan Anwar S, Abdul Fadlil, Rusydi Umar, "Fuzzy C-Means Implementation For Clustering Poor Data With Realtime Web-Based Mobile, Presentation," SNTT (National Seminar on Applied Technology), ISSN: 2339-028X, 2017.
- Kusumadewi, Sri. Artificial Intelligence: Technique and Its Application. Yogyakarta: Graha Ilmu. 2003.
- Kusumadewi, Sri. Fuzzy System Design Analysis Using Matlab Tool Box. Graha Ilmu, Yogyakarta. 2002.
- Rizal, A. S., & Judge, R. F. "Method of K-Means Clustering And Fuzzy C-Means Clustering." In Proceeding National Seminar on Mathematics and Mathematics Education UMS, ISBN: 978.602.361.002.0, 2015.
- Kusumadewi, Sri; Purnomo, Hari. Fuzzy Logic Application for Decision Support. Publisher Graha Ilmu. 2013.
- Yan Jun, Michael dan James Power. 1994. Using Fuzzy Logic(Toward Intelligent System). New York: Prentice-Hall.
References
Djohar, A. Technology and Vocational Education. In Educational Science and Applications. Bandung: Pedagogiana Press. P. 1285-1300.2007.
Fadlil, Abdul. "Comparison of Classification of Distance Function and Artificial Neural Networks on Facial Recognition System," SNATI (National Seminar on Information Technology Applications), ISSN: 1907-5022, 2007.
Fadlil, Abdul. "An Automatic Identification System of Human Skin Irritation." TELKOMNIKA (Telecommunication Computing, Electronics and Control), Vol.8, No.3, 255-264., ISSN: 1693-6930, 2010.
Gustina, S., Fadlil, A., & Umar, R. (2017). "Mushroom Identification System Using the Statistical Order Extraction Method 1 and Classification of Distance." Techno. Come, Vol.16, No. 4, 378-38678, 2017.
Saifudin, S., & Fadlil, A. (2015) "Site Identification of Wood Based Image Using Gray Level Co-occurrence Matrix (Glcm) With Euclidean Distance Classification." SINERGI: Technical Journal of Mercu Buana, Vol. 19, No. 3,181-186, ISSN: 1410-233, 2015.
Ahsan Anwar S, Abdul Fadlil, Rusydi Umar, "Fuzzy C-Means Implementation For Clustering Poor Data With Realtime Web-Based Mobile, Presentation," SNTT (National Seminar on Applied Technology), ISSN: 2339-028X, 2017.
Kusumadewi, Sri. Artificial Intelligence: Technique and Its Application. Yogyakarta: Graha Ilmu. 2003.
Kusumadewi, Sri. Fuzzy System Design Analysis Using Matlab Tool Box. Graha Ilmu, Yogyakarta. 2002.
Rizal, A. S., & Judge, R. F. "Method of K-Means Clustering And Fuzzy C-Means Clustering." In Proceeding National Seminar on Mathematics and Mathematics Education UMS, ISBN: 978.602.361.002.0, 2015.
Kusumadewi, Sri; Purnomo, Hari. Fuzzy Logic Application for Decision Support. Publisher Graha Ilmu. 2013.
Yan Jun, Michael dan James Power. 1994. Using Fuzzy Logic(Toward Intelligent System). New York: Prentice-Hall.