Abstract
Assessment of a discipline is a performance evaluation stage that is important for the continuity of company activities. Monitoring and assessment of an employee's discipline must be carried out continuously in order to improve the quality of human resources. This research was conducted to make the accuracy of providing incentives based on the level of employee discipline. The data processed in this study is a recapitulation of the attendance of AMIK and STIKOM Tunas Bangsa Pematangsiantar employees as many as 25 employees as a sample. For grouping the employee data using the K-Medoids Algorithm. K-Medoids groups a set of n objects into a number of k clusters using the partition clustering method. Furthermore, the employee data is processed using Rapid Miner software. Research using this method obtained results in the form of grouping employees into 3 groups that have good discipline levels of 12 employees, sufficient discipline levels of 8 employees, and less disciplinary levels of 5 employees. Based on the grouping results that have been produced, it can be a consideration for the leadership to determine the amount of incentives for employees.
Highlights
a performance evaluation stage that is important for the continuity of company activities
continuously in order to improve the quality of human resources
This research was conducted to make the accuracy of providing incentives based on the level
Summary
Teknik pengumpulan penelitian ini yaitu: data yang dilakukan dalam Pada tahap ini pengumpulan data absensi pegawai yang dilakukan dengan cara observasi langsung ke AMIK a. Penelitian Kepustakaan yaitu dengan membaca dan STIKOM Tunas Bangsa Pematangsiantar. Data tulisan berupa jurnal serta bukuyang berkaitan yang diperoleh dari hasil observasi ini sejumlah 25 dengan kasus yang penulis angkat. Sampel data pegawai dan absensi pegawai yang b. Penelitian Lapangan yaitu melakukan penelitian bersumber dari database AMIK dan STIKOM Tunas secara langsung di lapangan dengan menggunakan Bangsa Pematangsiantar. Adapun atribut yang teknik Observasi, dengan melakukan pengamatan digunakan yaitu Nama Pegawai, Masuk, Izin, Absen langsung di lokasi penelitian untuk mencari data dan Telat. Yang diperlukan dalam penelitian ini seperti mengambil sampel data pegawai dan data absensi
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