IMPLEMENTATION OF K-MEANS CLUSTERING METHOD FOR ELECTRONIC LEARNING MODEL
Teaching and Learning process at SMK Negeri 2 Bengkulu Tengah has applied e-learning system for teachers and students. The e-learning was based on the classification of normative, productive, and adaptive subjects. SMK Negeri 2 Bengkulu Tengah consisted of 394 students and 60 teachers with 16 subjec...
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| Veröffentlicht in: | Journal of physics. Conference series Jg. 930; H. 1; S. 12021 - 12026 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Bristol
IOP Publishing
01.12.2017
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| ISSN: | 1742-6588, 1742-6596 |
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| Abstract | Teaching and Learning process at SMK Negeri 2 Bengkulu Tengah has applied e-learning system for teachers and students. The e-learning was based on the classification of normative, productive, and adaptive subjects. SMK Negeri 2 Bengkulu Tengah consisted of 394 students and 60 teachers with 16 subjects. The record of e-learning database was used in this research to observe students' activity pattern in attending class. K-Means algorithm in this research was used to classify students' learning activities using e-learning, so that it was obtained cluster of students' activity and improvement of student's ability. Implementation of K-Means Clustering method for electronic learning model at SMK Negeri 2 Bengkulu Tengah was conducted by observing 10 students' activities, namely participation of students in the classroom, submit assignment, view assignment, add discussion, view discussion, add comment, download course materials, view article, view test, and submit test. In the e-learning model, the testing was conducted toward 10 students that yielded 2 clusters of membership data (C1 and C2). Cluster 1: with membership percentage of 70% and it consisted of 6 members, namely 1112438 Anggi Julian, 1112439 Anis Maulita, 1112441 Ardi Febriansyah, 1112452 Berlian Sinurat, 1112460 Dewi Anugrah Anwar and 1112467 Eka Tri Oktavia Sari. Cluster 2:with membership percentage of 30% and it consisted of 4 members, namely 1112463 Dosita Afriyani, 1112471 Erda Novita, 1112474 Eskardi and 1112477 Fachrur Rozi. |
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| AbstractList | Teaching and Learning process at SMK Negeri 2 Bengkulu Tengah has applied e-learning system for teachers and students. The e-learning was based on the classification of normative, productive, and adaptive subjects. SMK Negeri 2 Bengkulu Tengah consisted of 394 students and 60 teachers with 16 subjects. The record of e-learning database was used in this research to observe students' activity pattern in attending class. K-Means algorithm in this research was used to classify students' learning activities using e-learning, so that it was obtained cluster of students' activity and improvement of student's ability. Implementation of K-Means Clustering method for electronic learning model at SMK Negeri 2 Bengkulu Tengah was conducted by observing 10 students' activities, namely participation of students in the classroom, submit assignment, view assignment, add discussion, view discussion, add comment, download course materials, view article, view test, and submit test. In the e-learning model, the testing was conducted toward 10 students that yielded 2 clusters of membership data (C1 and C2). Cluster 1: with membership percentage of 70% and it consisted of 6 members, namely 1112438 Anggi Julian, 1112439 Anis Maulita, 1112441 Ardi Febriansyah, 1112452 Berlian Sinurat, 1112460 Dewi Anugrah Anwar and 1112467 Eka Tri Oktavia Sari. Cluster 2:with membership percentage of 30% and it consisted of 4 members, namely 1112463 Dosita Afriyani, 1112471 Erda Novita, 1112474 Eskardi and 1112477 Fachrur Rozi. |
| Author | Zulita, Leni Natalia Sari, Herlina Latipa Suranti, Dewi |
| Author_xml | – sequence: 1 givenname: Herlina Latipa surname: Sari fullname: Sari, Herlina Latipa email: herlinalatipasari@ymail.com organization: Teknik Infromatika Fakultas Ilmu Komputer Universitas Dehasen Bengkulu – sequence: 2 givenname: Dewi surname: Suranti fullname: Suranti, Dewi email: dewisuranti@gmail.com organization: Teknik Infromatika Fakultas Ilmu Komputer Universitas Dehasen Bengkulu – sequence: 3 givenname: Leni Natalia surname: Zulita fullname: Zulita, Leni Natalia email: Natalia.af25@gmail.com organization: Teknik Infromatika Fakultas Ilmu Komputer Universitas Dehasen Bengkulu |
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| DOI | 10.1088/1742-6596/930/1/012021 |
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| SubjectTerms | Algorithms Cluster analysis Clustering Distance learning K-Means Algorithm Learning Learning Model Machine learning Model testing Online instruction Physics Students Teachers Vector quantization |
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