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All Journal Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Penelitian Teknologi Informasi dan Sains
Diffri Solihin Siregar
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Computer Science & IT Electrical & Electronics Engineering

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Klasterisasi Faktor Orang Tua Dalam Memilih Sekolah Taman Kanak-Kanak Menggunakan Algoritma K-Means Clustering (Studi Kasus : TK Aek Litta) Diffri Solihin Siregar; Billy Hendrik
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 3 No. 3 (2023): November : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v3i3.660

Abstract

School is a place where students are taught under the guidance of teachers. Schools have an important role in developing children's intellectual capacity because school is a place where children look for information and hone their skills. Choosing a school that suits your child's character is very important. Children need kindergarten education to develop their character and personality and to prepare themselves for entering elementary school. There are many things parents choose to do when choosing a school for their children, including: distance, facilities, curriculum, costs, etc. In this case, to find out the parents' factors in choosing a kindergarten school for their child, the author uses the K-Means algorithm to see the highest factors that make parents choose the Aek litta kindergarten school. K-Means separates data into groups according to how close each group is to a particular cluster. The results of the clustering process with 3 iterations stated that for cluster 1 there were 7 parents who had similar factors in choosing Aek Litta Kindergarten, for cluster 2 there were 3 parents with similar factors.
Implementasi Metode MAUT Dan AHP Dalam Penentuan Penerima Bantuan Program Indonesia Pintar (Studi Kasus: SD Aek Nabara Tonga) Diffri Solihin Siregar; Billy Hendrik
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 1 No. 3 (2023): SEPTEMBER : JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v1i3.720

Abstract

The Smart Indonesia Program (PIP) is material assistance given to children aged 6-21 years for educational purposes. Provision of PIP assistance funds that are not on target is a problem that is currently happening at SD N 1109 Aek Nabara Tonga. The aim of this research is to identify students who are eligible and eligible for PIP assistance. To deal with this problem the author uses the Multi Attribute Utility Theory (MAUT) and Analytical Hierarchy Process (AHP) methods to get students who are eligible to receive PIP assistance. The criteria used in selecting PIP recipient students were PKH card owners, SKTM, orphans, report cards, and parents' income. The final results of the AHP and MAUT calculations, the student who gets the highest result is Riski Pinaldi Nasution with a final score of 0.982 and is a student who is eligible to receive PIP assistance, while the student with the lowest result is Muhammad Akbar Soleh with a value of 0.101 is a student who is not eligible to receive PIP assistance.
Co-Authors Billy Hendrik