eprintid: 32132
rev_number: 10
eprint_status: archive
userid: 12
dir: disk0/00/03/21/32
datestamp: 2026-07-14 07:00:53
lastmod: 2026-07-14 07:00:53
status_changed: 2026-07-14 07:00:53
type: thesis
metadata_visibility: show
creators_name: Ibrahim, Nouval Ammar
creators_nim: 22.11.5176
contributors_name: Kusnawi, Kusnawi
corp_creators: Universitas AMIKOM Yogyakarta
title: [JALUR NON REGULER - SCIENTIST} EX-BOOST: KERANGKA KERJA TERINTEGRASI
EXPLORATORY DATA ANALYSIS DAN EXTREME 
GRADIENT BOOSTING UNTUK PERAMALAN 
PELUANG KERJA DI MASA DEPAN
ispublished: pub
subjects: 000.000.000A
divisions: if
full_text_status: restricted
keywords: Exploratory Data Analysis , Extreme Gradient Boosting (XGBoost),
Peramalan Pasar Tenaga Kerja, Analisis Prediktif, Perencanaan Tenaga Kerja, Predictive Analytics, Workforce Planning.
date: 2026-02-23
date_type: published
institution: Universitas AMIKOM Yogyakarta
department: Fakultas Ilmu Komputer
thesis_type: bachelor
thesis_name: skripsi
citation:   Ibrahim, Nouval Ammar  (2026) [JALUR NON REGULER - SCIENTIST} EX-BOOST: KERANGKA KERJA TERINTEGRASI EXPLORATORY DATA ANALYSIS DAN EXTREME GRADIENT BOOSTING UNTUK PERAMALAN PELUANG KERJA DI MASA DEPAN.  S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.   
document_url: https://eprints.amikom.ac.id/id/eprint/32132/1/COVER.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32132/2/ISI.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/32132/3/Sourcecode%20-%2022.11.5176.zip
document_url: https://eprints.amikom.ac.id/id/eprint/32132/4/Surat%20Pernyataan%20Publish%20di%20Luar.pdf