STUDI KOMPARASI NAIVE BAYES, K-NEAREST NEIGHBOR, DAN RANDOM FOREST UNTUK PREDIKSI CALON MAHASISWA YANG DITERIMA ATAU MUNDUR

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UEU » Journal » Magister Ilmu Komputer
Posted by [email protected] at 03/02/2023 16:01:00 • 419 Views

STUDI KOMPARASI NAIVE BAYES, K-NEAREST NEIGHBOR, DAN RANDOM FOREST UNTUK PREDIKSI CALON MAHASISWA YANG DITERIMA ATAU MUNDUR

Created by :
Puteri Sejati ( 20210804011 )
Munawar (0324066901) ; Marzuki Pilliang (20210804017) ; Habibullah Akbar (0315108201)

Subject:	RAMALAN PENERIMAAN MAHASISWA ALGORITMA
Alt. Subject :	FORECAST STUDENT ADMISSION ALGORITHM
Keyword:	comparative k-nearest neighbor naive bayes prediction prospective students random forest

Date Create	:	03/02/2023
Type	:	Text
Format	:	pdf
Language	:	Indonesian
Identifier	:	UEU-Journal-11_3707
Collection ID	:	11_3707

Source :
Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), Vol. 9, No. 7, Desember 2022, hlm. 1341-1348

Relation Collection:
Fakultas Ilmu Komputer

Coverage :
Civitas Akademika Universitas Esa Unggul

Rights :
@2023 Perpustakaan Universitas Esa Unggul

Publication URL :
https://digilib.esaunggul.ac.id/studi-komparasi-naive-bayes-knearest-neighbor-dan-random-forest-untuk-prediksi-calon-mahasiswa-yang-diterima-atau-mundur-27701.html

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