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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Economic, Bussines and Accounting (COSTING) Jurnal Sistim Informasi dan Teknologi IndraTech Journal of Science and Technology Jurnal Sistim Informasi dan Teknologi Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Pengabdian Masyarakat Nasional Journal of Data Analytics, Information, and Computer Science (JDAICS) Jurnal Pengabdian Masyarakat Ilmu Komputer Jurnal Computer and Technology ORAHUA : Jurnal Pengabdian Kepada Masyarakat
Weri Sirait
Universitas Metamedia
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Journal : Jurnal Sistim Informasi dan Teknologi

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Algoritma K-Means Untuk Klasterisasi Tugas Akhir Mahasiswa Berdasarkan Keahlian Weri Sirait; Sarjon Defit; Gunadi Widi Nurcahyo
Jurnal Sistim Informasi dan Teknologi 2019, Vol. 1, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (450.98 KB) | DOI: 10.37034/jsisfotek.v1i3.5

Abstract

School of Information and Computer Management (STMIK) Indonesia Padang is a private university under the auspices of the Higher Education Service Institution (LLDIKTI) Region X, producing graduates who are competent in the field of system analysts and database administrators. Requirements to meet undergraduate graduates (S1) final year students need to complete a final project or thesis. Final year students at STMIK Indonesia Padang often experience confusion in taking the final assignment topic. This is due to the fact that the final year students have not been able to direct their potential in determining the final assignment topic. In this case, researchers conducted the process of grouping final level students using the Data Mining K-means Clustering technique. The process of grouping final-level students is done by utilizing the data of course values ​​from the field mapping system analysts and database administrators. In this grouping two clusters will be produced, namely students taking the final assignment of system analysts and database administrator. So by using this K-means Clustering method, students have direction in taking the final assignment topic. The results obtained from 40 data samples used were students who took the topic of the final project system analysts as many as 20 students and students who took the final assignment of database administrators were 20 students.
Co-Authors Amarnis Sari, Siska Amuharnis Arien Restu Dani Arika Juwita Z Arman Aswin, Arief Rahmadian Cyntia Lasmi Andesti Elisa Daniati Edison Firdian, Fadil Gunadi Widi Nurcahyo Hesty Aisyah Karfindo, Karfindo Lakry, Lakry Maltaf Putra Lonanda, Fitria M. Tasnim Nency Extise Putri Nur Azizah Nur Azizah Nur Azizah Nurhidayat Nurhidayat Nurhidayat Rahmad Dian Ritonga, Radja Ifran Sarjon Defit Sotar Sri Restu Ningsih