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REKOMENDASI GRUP PADA WEBSITE ALUMNI TEKNIK INFORMATIKA UNIVERSITAS MUHAMMADIYAH MALANG

Saputra, Hermansyah Adi (2019) REKOMENDASI GRUP PADA WEBSITE ALUMNI TEKNIK INFORMATIKA UNIVERSITAS MUHAMMADIYAH MALANG. Undergraduate (S1) thesis, University of Muhammadiyah Malang.

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Abstract

Almost all universities in Indonesia have their own alumni information systems. The alumni information system is able to provide information about the condition of its alumni after collage graduation. Alumni are actors who play important role in education. Currently, the Department of Informatics, Faculty of Engineering, University of Muhammadiyah Malang has an alumni website. The problem is the absence of system that gives alumni group recommendation on the system, so that alumni are able to exchange information in this website. With the alumni data and also supported by the existence of a tracer study, it can be formed as group recommendation from the data tracer study. Clustering is one of tools in data mining that aims to group object into clusters. K-medoid is a method of grouping data into a number of clusters without hierarchical structure from one another. The k-medoid algorithm has higher coefficient value compared to k-means in this study. This K-medoid gets an average value of Silhouette Score 0.7325888099 in testing with the number of clusters 5 and repetitions 10 times. When compared with k-means which only has an average value of Silhouette Score 0.6872873866.

Item Type: Thesis (Undergraduate (S1))
Student ID: 201410370311102
Keywords: K-Medoids, Silhouette Score, Clustering, Tracer Study
Subjects: Z Bibliography. Library Science. Information Resources > ZA Information resources
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: Sulistyaningsih Sulistyaningsih
Date Deposited: 09 Apr 2019 02:26
Last Modified: 13 Jan 2020 03:16
URI : http://eprints.umm.ac.id/id/eprint/45775

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