eprintid: 77883
rev_number: 10
eprint_status: archive
userid: 12243
dir: disk0/00/07/78/83
datestamp: 2026-08-11 05:02:56
lastmod: 2026-08-11 05:02:56
status_changed: 2026-08-11 05:02:56
type: thesis
metadata_visibility: show
contact_email: muchti.nurhidaya@uin-suka.ac.id
creators_name: Zhafran Pradistyatama Kuncoro, NIM.: 22106050089
title: PENGEMBANGAN SISTEM REKRUTMEN TERINTEGRASI BERBASIS LOW-CODE DAN NATURAL LANGUAGE PROCESSING (NLP)
ispublished: pub
subjects: 004.
divisions: Informatika(S1)
full_text_status: restricted
keywords: RAG, LLM, SAW, CV Screening, n8n
note: Muhammad Didik Rohmad Wahyudi, S.T., MT.
abstract: This system development aims to design and develop a smart recruitment and corporate helpdesk system to overcome communication inefficiencies and manual candidate evaluation in the Human Resource (HR) department. The system development method utilizes the Waterfall Software Development Life Cycle (SDLC) combined with artificial intelligence technology. The system integrates a Retrieval-Augmented Generation (RAG) chatbot for automated responses and an AI-based CV Screening module utilizing the Gemini Large Language Model (LLM) for semantic analysis and the Simple Additive Weighting (SAW) method for candidate qualification weighting. All processes are orchestrated into an end-to-end automated workflow using the n8n low-code platform with a React.js web interface. Testing results demonstrate that the RAG chatbot accurately responds to 100% of question scenarios with a latency of 3-15 seconds. Furthermore, the workflow automation successfully reduces the CV document processing time to an average of only 38.7 seconds per candidate. The hybrid approach of LLM and SAW proves effective in eliminating subjectivity bias compared to conventional keyword matching. In conclusion, this integrated system significantly improves operational efficiency in recruitment and corporate communication.
date: 2026-06-09
date_type: published
pages: 130
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   Zhafran Pradistyatama Kuncoro, NIM.: 22106050089  (2026) PENGEMBANGAN SISTEM REKRUTMEN TERINTEGRASI BERBASIS LOW-CODE DAN NATURAL LANGUAGE PROCESSING (NLP).  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/77883/1/22106050089_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/77883/2/22106050089_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf