INTEGRASI SENTENCE-BERT DAN SIMPLE ADDITIVE WEIGHTING UNTUK PERANKINGAN CALON PESERTA PRAKTIK KERJA LAPANGAN PADA PT XYZ

Nabilah Dwi Gunasti, . (2026) INTEGRASI SENTENCE-BERT DAN SIMPLE ADDITIVE WEIGHTING UNTUK PERANKINGAN CALON PESERTA PRAKTIK KERJA LAPANGAN PADA PT XYZ. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

[img] Text
ABSTRAK.pdf

Download (448kB)
[img] Text
AWAL.pdf

Download (1MB)
[img] Text
BAB 1.pdf
Restricted to Repository UPNVJ Only

Download (618kB)
[img] Text
BAB 2.pdf
Restricted to Repository UPNVJ Only

Download (1MB)
[img] Text
BAB 3.pdf
Restricted to Repository UPNVJ Only

Download (747kB)
[img] Text
BAB 4.pdf
Restricted to Repository UPNVJ Only

Download (10MB)
[img] Text
BAB 5.pdf

Download (584kB)
[img] Text
DAFTAR PUSTAKA.pdf

Download (496kB)
[img] Text
DAFTAR RIWAYAT HIDUP.pdf
Restricted to Repository staff only

Download (101kB)
[img] Text
LAMPIRAN.pdf
Restricted to Repository UPNVJ Only

Download (7MB)
[img] Text
HASIL PLAGIARISME.pdf
Restricted to Repository staff only

Download (27MB)
[img] Text
ARTIKEL KI.pdf
Restricted to Repository staff only

Download (542kB)

Abstract

Internship (Praktik Kerja Lapangan/PKL) applications submitted via email create a high administrative burden and make it difficult to match candidates with the business unit's requirements when application volume is large. This research develops a web-based system integrating Sentence-BERT and Simple Additive Weighting to assist in this matching process. The system was developed using Agile Scrum with Node.js, React.js, and PostgreSQL. The paraphrase-multilingual-MiniLM-L12-v2 model measures semantic similarity between candidate profiles and position descriptions, while SAW performs multi-criteria ranking based on this score, GPA, semester, experience, achievements, and certifications. Evaluation through black-box testing, User Acceptance Testing (UAT), and Spearman's Rank Correlation shows all test scenarios passed, UAT scores of 96% (Human Capital) and 92% (business unit and students), and Spearman correlations of 0.762 and 0.929, indicating strong agreement with the business unit's assessments. These results show that integrating SBERT and SAW is effective as a decision support system for accurate and efficient candidate-internship matching.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 2210511096] [Pembimbing: Ridwan Raafi’udin] [Penguji 1: Muhammad Adrezo] [Penguji 2: Kharisma Wiati Gusti]
Uncontrolled Keywords: Sentence-BERT, Simple Additive Weighting, semantic similarity, decision support system, internship program
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User: NABILAH DWI GUNASTI
Date Deposited: 04 Sep 2026 07:44
Last Modified: 04 Sep 2026 07:44
URI: http://repository.upnvj.ac.id/id/eprint/51306

Actions (login required)

View Item View Item