TY  - JOUR
T1  - Zone Based School Enrollment System by using Modified k-Means
Clustering Method
AU - Daru Kusuma, Purba 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 11
SP  - 3630
EP  - 3637
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.3630.3637
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.3630.3637
KW  - Student enrollment
KW  -zone based model
KW  -k-means clustering
KW  -variants
KW  -static method
KW  -adjusted
variables
AB  - The main goal of zone based school enrollment method is reducing the student’s home to school
distance. So, among its variants, student will be allocated to the school that its location is near the student’s
home location. Meanwhile, one biggest problem in this method is the number of out of zone students which
means of the student that is accepted in school that its location is outside his own zone. This situation occurs,
especially when the zoning is determined statically. In this research, we propose dynamic zone based school
enrollment model to meet the variations in school location distribution, student location distribution and school
capacity. This model is developed based on k-means clustering method with several modifications. This
proposed model then is implemented into zone based school enrollment simulation to measure its performance.
In this simulation, the performance of this proposed model is also compared with the existing static one. In this
simulation, adjusted parameters are school location distribution, student location distribution, school capacity,
number of schools and number of students. Meanwhile, the observed parameters are average student’s home
to school distance and the success ratio. Based on the test result, there are several findings. The proposed
model produces higher success ratio rather than the existing static method does. In the other side, the existing
static method produces lower average student’s home to school distance rather than the proposed model does.
The number of schools and the average school capacity has positive correlation with the success ratio. The
number of students has negative correlation with the success ratio. These adjusted variables do not affect the
average student’s home to school distance.
ER  -