Sistem Pendukung Keputusan Seleksi Penerimaan Calon Siswa/i Baru Menggunakan Algoritma C4.5 (Studi Kasus: SDIT An-Najah Jatinom Klaten)
Abstract: Education is very
important and one of the keys of the progress of a country. Basic education or
elementary school is the first stage of a long journey for a student in taking
his or her education. The more parents has awareness in the importance of an
education so the more the parents will enroll their children to study in
school. Although the number of schools in a certain place is already considered
enough, admission of new students still become a unique phenomenon because number
of prospective new students entering school is huge but the admission method
still uses manual techniques. Whether using a test or previous level report
book, the rank and decision making about the acceptance of the students is
still done manually. It can also provide opportunities for certain parties to
commit fraud in the admission selection from subjective point of view (outside
of the fixed criteria) which makes incorrect calculation and grading so the
results are not properly valid.
This research would apply the rules that is formed from the decision
trees on admission of new students selection process at SDIT An-Najah Jatinom
Klaten. A decision tree consists of a set of rules for dividing a heterogeneous
population into smaller parts, and more homogeneous with noticing to the goal
variables. C4.5 algorithm is one of the algorithms used to form a decision
tree.
The purpose of this research is to apply the rules that are formed from
the C4.5 decision tree algorithm in admission of new students selection
process. The registration (log) is expected to be more structured through this
system so operator can easily and quickly process the calculation and ranking
the prospective new student. Service becomes more rapid, accurate, effective,
and efficient in terms of time and place because the piled print files (takes
place and time) can be concise (stored in the database).
The results shows that the system is able to provide recommendations for
the admission process based on the criteria and history that have ever
happened. Based on sample data of 100 data among several criterias (religion,
age, the average time from the each student’ place to the school, parents
income per month, number of siblings)is is found that religious criteria have
the highest gain value in the calculation of the initial node, ie by 0.367877.
Finnaly, this system has been running correctly and can help the school
admission committee in the selection of new candidate students.
Penulis: Anief Fauzan Rozi
Kode Jurnal: jptindustridd150341
