360 DEGREES AND K-NEAREST NEIGHBOUR METHODS FOR LECTURER PERFORMANCE APPRAISAL SYSTEMS
Journal Title: Jurnal Mantik - Year 2019, Vol 3, Issue 1
Abstract
The lecturer performance appraisal system functions to measure and evaluate the performance of the lecturers in a certain period of time. The purpose of this study is to apply the 360-degree and machine learning algorithm using the K-NN (k-nearest neighbour) method to model the lecturer performance appraisal system to be more objective and accountable. DP3 is List of Appraisal of Employee Work Implementation. DP3 data is used as knowledge datasets to be used as training data and test data for the classification process and prediction of lecturer performance values. The results obtained show the 360-degree method and K-NN is able to predict with 90% accuracy right on knowledge datasets that have not been normalized and K = 5 values. Hence, this model can then be used to become a lecturer performance appraisal system application.
Authors and Affiliations
Novita Ginting, Yuggo Afrianto
Keywords
Related Articles
- EP ID EP639297
- DOI -
- Views 77
- Downloads 0
360 DEGREES AND K-NEAREST NEIGHBOUR METHODS FOR LECTURER PERFORMANCE APPRAISAL SYSTEMS
The lecturer performance appraisal system functions to measure and evaluate the performance of the lecturers in a certain period of time. The purpose of this study is to apply the 360-degree and machine learning algorith...
PENENTUAN LOKASI WISATA PANTAI DAN PULAU TERBAIK DI PROVINSI SUMATERA BARAT MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS
Berdasarkan hasil identifikasi masalah melalui penyebaran data kuesioner dan wawancara terhadap para pengunjung wisata pantai dan pulau yang ada di Sumatera Barat, didapatkan beberapa kendala dalam pengembangan pariwisat...
IMPLEMENTASI WIRESHARK DALAM MELAKUKAN PEMANTAUAN PROTOCOL JARINGAN
Wireshark is a leading open source tool that is widely used to analyze and troubleshoot network problems, allowing us to find out about network problems. The development of Wireshark evolved thanks to the contribution of...
PENERAPAN PRINCIPAL COMPONENT ANALYSIS (PCA) DALAM PENENTUAN FAKTOR DOMINAN YANG MEMPENGARUHI PENGIDAP KANKER SERVIKS (Studi Kasus : Cervical Cancer Dataset)
Cancer diagnosis is a frightening issue for patients and can affect the patient's psychological condition. Therefore, by giving attention and psychosocial support to cancer patients it is expected to overcome the psychol...
Algoritma Support Vector Machine Untuk Klasifikasi Sikap Politik Terhadap Partai Politik Indonesia
The use of social media that is increasingly easy and affordable becomes a new forum for Indonesian people to express their thoughts freely. Included in the preparation period for a democratic party held every five years...