TY  - JOUR
T1  - Data Processing of Laboratory Recruitment Using K-Nearest Neighbor Algorithm
AU - , Mustabshiroh AU - Latuconsina, Roswan AU - Purboyo, Tito Waluyo 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 1
SP  - 247
EP  - 252
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.247.252
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.247.252
KW  - Data mining
KW  -k-nearest neighbor
KW  -training data
KW  -reference
KW  -candidate
KW  -method
AB  - The development of science and technology increasingly popular in the society. Computer
technology is growing very rapidly according to the level of human needs to solve various of problems. One
of the rapid development of computer science is the field of data processing that is capable of processing data
and provide information to support decision, one of which is data mining. Data mining helps to extract patterns
from large data to be interpreted as human-readable information. A simple example of the use of data mining is
the recommendation system used in the recruitment of laboratory assistants by using the k-nearest neighbor
method. The training data is in the form of the grade from previous recruitment which will be used as a reference
in determining whether the candidate is declared accepted or not.
ER  -