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All Journal CESS (Journal of Computer Engineering, System and Science) Jurnal Pengabdian Pada Masyarakat Jurnal SOLMA Prosiding Seminar Nasional Teknoka Seling: Journal of PGRA Study Program Jurnal ICT : Information Communication & Technology Infotech: Journal of Technology Information Jurnal Abdimas ADPI Sosial Dan Humaniora JURNAL TEKNIK INFORMATIKA DAN KOMPUTER
Mia Kamayani
Universitas Muhammadiyah Prof. Dr. HAMKA
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : Infotech: Journal of Technology Information

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FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT CALON MAHASISWA BARU MENDAFTAR PADA FTII UHAMKA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR (K-NN) Luqman Abdur Rahman Malik; Mia Kamayani; Firman Noor Hasan
Infotech: Journal of Technology Information Vol 9, No 1 (2023): JUNI
Publisher : STMIK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i1.163

Abstract

In accepting new students at Prof. University. Dr. Hamka, many prospective students or parents of students are looking for registration information, this is a great opportunity for Uhamka to gain the sympathy of prospective students to register at Uhamka, especially the Faculty of Industrial and Informatics Technology. The problem in this study is that there is no data processing related to the factors that influence the interest of prospective new students to choose the Faculty of Industrial and Informatics Technology (FTII) Uhamka. The purpose of this study was to determine the factors that influence the interest of prospective new students in choosing majors at the Faculty of Industrial and Information Technology (FTII) Uhamka. The attributes used in this study were 10 attributes, namely full name, major, tuition fee, FII location with domicile, presence of friends/family, accreditation, facilities, PMB services, PMB information, and information of interest. The method that researchers use in this study is the K-Nearest Neighbor Algorithm (K-NN). From the results of testing the researchers used the K-5 fold technique and the confusion matrix obtained an average accuracy of 72.5%, which means it is good.
Co-Authors Atiqah Meutia Hilda Dais Isnafirlah Dwi Anugrah Putra Emilia Roza Estu Sinduningrum Firman Noor Hasan Fitri Yatusholihah Imam Safi'i Iqbal Musyaffa Khusniyati Masykuroh Luqman Abdur Rahman Malik Mohammad Reza Saputra Mohammad Suryadi Syarif Nur Aini Puspitasari PH Gunawan Rasiyah Shafa Azizah Roslaini Roslaini Suciana Wijirahayu