Fuzzy C-Means Method For Clustering The New Student Candidate At SMK Muhammadiyah 3 Yogyakarta

Fuzzy C-Means Method For Clustering The New Student Candidate At SMK Muhammadiyah 3 Yogyakarta

Rifqi Rahmatika Az-Zahra, Rusydi Umar, Abdul Fadlil

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 skill programs. Examples of skills programs in SMK are Computer Networking Techniques, Audio and Video Engineering, Mechanical Engineering, Building, Image Engineering, Motorcycle Engineering, Installation and Power Engineering, systems that can assist in the decision-making process of prospective students.The clustering system will be created using the Fuzzy C-Means method. Fuzzy C-Means Clustering (FCM), otherwise known as Fuzzy ISODATA. With the clustering 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 learners do not experience difficulties that, when entering teaching and learning activities and can develop optimally and is expected to be able to work in accordance with the expertise that has been occupied. So that in the end can improve the quality of output and outcome ofvocational education

Keywords

Clustering, Fuzzy C-Means ( FCM), Vocation High School

References

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