Main Article Content

Austin Almayda
Sudin Saepudin

Abstract

Employment Contract/Employment Agreement according to Law No.13/2003 concerning Manpower is an agreement between a worker/labourer and an entrepreneur or employer that contains the terms of employment, rights and obligations of the parties. The omnibus law on employment, revised the provisions of the PKWT (certain time work agreement) in Law No. 13 of 2003 through amendments, deletions and additions to articles. However, the rules regarding contract employees are only described in outline in the Job Creation Law No. 11 of 2020. The law stipulates the maximum period of time for companies to carry out PKWT contracts for a maximum of 5 years.[1] The purpose of this study is to assist superiors or personnel in assessing contract employees in the company Pt.Afixkogyo Indonesia based on the results of employee assessments or the needs of the company itself. In the selection process for contract employees at Pt. Afixkogyo Indonesia is still using manual assessment in the field where the assessment of its employees is assessed by the head of the department, the purpose of this study is to apply and evaluate the Data Mining Clustering method to get an extension of the work contract at this company. The author uses one of the data mining methods Clustering/clustering because this method is very common in use so it is easy to implement because it uses simple principles that can be explained in non-statistical terms.

Downloads

Download data is not yet available.

Article Details

How to Cite
Almayda, A. and Saepudin, S. . . (2021) “Application of K-Means Clustering Data Mining in the Extension of the Contract of Work at PT. Afixkogyo Indonesia”, Jurnal Mantik, 5(3), pp. 2050-2059. Available at: https://iocscience.org/ejournal/index.php/mantik/article/view/1862 (Accessed: 19April2026).
References
[1] Admin DSLA. (n.d.). Surat Perjanjian Kerja. https://www.dslalawfirm.com/surat-perjanjian-kerja/
[2] Muhammad Robith Adani. (n.d.). Artificial Intelligence: Definisi, Sejarah, Contoh, dan Manfaat. Januari 13, 2021. https://www.sekawanmedia.co.id/apa-itu-artificial-intelligence/
[3] Syafnidawaty. (2020). K-means Clustering - UNIVERSITAS RAHARJA (pp. 1–1). https://raharja.ac.id/2020/04/19/k-means-clustering/
[4] Santosa, B. (2007). Data Mining: Teknik Pemanfaatan Data untuk Keperluan Bisnis.Yogyakarta: Graha Ilmu.
[5] Santoso, S. (2010). Statistik Multivariat. Jakarta: Elex Media Komputindo.
[6] Wu, X. and Kumar, V. (2009). The Top Ten Algorithms in Data Mining. London: CRC Press Taylor & Francis Group.
[7] Prasetyo, Eko. (2014). Data Mining - Mengolah Data Menjadi Informasi menggunakan Matlab. Yogyakarta: CV. Andi Offset.
[8] Tahta, Budi, dan Ali. 2013. Analisa Perbandingan Metode Hierarchical Clustering, K-means dan Gabungan Keduanya dalam Custer Data (Studi kasus: Problem Kerja Praktek Jurusan Teknik Industri ITS). Jurnal Skripsi Teknik Industri ITS. Surabaya: Teknik Industri, Institut Teknologi Sepuluh November (ITS).
[9] Witten, Ian H. dan Frank, Eibe. 2005. Data Mining Practical Machine Learning Tools and Techniques, Second Edition. Morgan Kaufmann, San Fransisco
[10] Agusta, Y. (n.d.). K-Means Rehat with Yudi Agusta. https://yudiagusta.wordpress.com/k-means/
[11] Abdyo and H. Permadi, Metode Statistika Praktis, Malang: Universitas Negeri Malang, 1999.
[12] B. P. S. P. Maluku, “Indikator Indeks Pembangunan Manusia 2010-2014,” Badan Pusat Statistik Provinsi Maluku,
Juli 2014. [Online]. Available: https://maluku.bps.go.id/subject/26/indeks-pembangunan-manusia.html. [Accessed
Juli 2014].
[13] B. P. S. P. Maluku, “Indikator Kesejahteraan Rakyat Provinsi Maluku 2014,” Badan Pusat Statistik Provinsi
Maluku,[Online].Available: https://maluku.bps.go.id/publication/2015/09/30/6cc18acb861407726a19addc/
indikator-kesejahteraan-rakyat-provinsi-maluku-2014.html.
[14] Windha Mega P. D., “Clustering Menggunakan Metode K -Means Untuk Menentukan Status Gizi Balita,” Jurnal Informatika, vol. 15, no. No.2, pp. 160-174, 2015.
[15] Yulianto, Ramadiani, & Kridalaksana, A. H. (n.d.). (PDF) Penerapan Formula Haversine Pada Sistem Informasi Geografis Pencarian Jarak Terdekat Lokasi Lapangan Futsal.
[16] https://www.researchgate.net/publication/324727225_Penerapan Formula Haversine Pada Sistem Informasi Geografis Pencarian Jarak Terdekat Lokasi Lapangan Futsal