ANALISIS DAN PENERAPAN DATA MINING UNTUK MENENTUKAN GAJI KARYAWAN TETAP DAN KARYAWAN KONTRAK MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING

Authors

  • Novi Yona Sidratul Munti Prodi Teknik Informatika, Fakultas Sains dan Teknologi, Universitas Pahalwan

Abstract

The company is a unit of production activities that cultivate economic resources to provide goods and services for society with the aim of gaining profit and satisfy the needs of the community. Within the company we need to determine the classification of a worker for the purpose of assessing propesionalismeemployess ,in order to improve the quality ofworkers in a company.Search employee’s salary is still done manually, so there are still many in receipt of a salary, so that led to some employees complained upon receipt of salary, it is necessary for the technique in determining the employee’s salary permanent and Contract employees. One technique that can be used are Using K-Means Clustering Algorithm.

References

Ahmad Sanmorino. 2012. Clustering Batik Images using Fuzzy C-Means Algorithm Based on Log-Average Luminance. Faculty of Computer Science, Universitas Indonesia.

Amita Verma, Ashwani kumar. 2014. Performance Enhancement of K-Means Clustering Algorithms for High Dimensional Data sets. International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com

Angga Ginanjar Mabrur, Riani Lubis. 2012. Program Studi Teknik Informatika Fakultas Teknik dan Ilmu Komputer Universitas Komputer Indonesia.

Emerensye S. Y. Pandie. 2012. Implementasi Algoritma data mining K-Nearset Neighbor (K-NN) dalam pengambilan keputusan pengajuan kredit. Jurusan Ilmu Komputer, Fakultas Sains dan Teknik, Universitas Nusa Cendana

J Oyelade O , O Oladipupo O, C Obagbuwa I (2010), “Penerapan algoritma K-Means Clustering untuk prediksi kinerja akademik mahasiswaâ€

Noticewala Maitry dan Dinesh Vaghela. 2014. Survey on Different Density Based Algorithms on Spatial Dataset. International Journal of Advance Research in Computer Science and Management Studies Research Article / Paper / Case Study Available online at: www.ijarcsms.com

Nurhayati. 2014. Metode Rough Set untuk melihat perilaku suami yang menjadi akseptor KB vasetomi. Program StudiTeknik Informatika, STMIK Kaputama Binjai.

Ramesh Singh Yadava1, P.K.Mishra2. 2012. Performance Analysis of High Performance k-Mean Data Mining Algorithm for Multicore Heterogeneous Compute Cluster. International Journal of Information and Communication Technology Research ISSN 2223-4985

Sankar Rajagopal. 2011. Customer data Clustering using data mining technique. Enterprise DW/BI Consultant Tata Consultancy Services, Newark, DE, USA

Downloads

Published

2018-03-20

How to Cite

Sidratul Munti, N. Y. (2018). ANALISIS DAN PENERAPAN DATA MINING UNTUK MENENTUKAN GAJI KARYAWAN TETAP DAN KARYAWAN KONTRAK MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING. Jurnal Inovasi Teknik Informatika, 1(1), 1–11. Retrieved from https://journal.universitaspahlawan.ac.id/index.php/jiti/article/view/17

Issue

Vol. 1 No. 1 (2018): Maret 2018

Section

Articles

License

Authors who publish with this journal agree to the following terms: Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).