APLIKASI PENGAJUAN JUDUL PROPOSAL BERBASIS AI MENGGUNAKAN METODE NATURAL LANGUAGE ROCESSING (NLP) DALAM REKOMENDASI DOSEN PADA FAKULTAS ILMU KOMPUTER UPNVJ

Muhamamd Farhan Sukmana, . (2025) APLIKASI PENGAJUAN JUDUL PROPOSAL BERBASIS AI MENGGUNAKAN METODE NATURAL LANGUAGE ROCESSING (NLP) DALAM REKOMENDASI DOSEN PADA FAKULTAS ILMU KOMPUTER UPNVJ. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

The selection of a thesis advisor is a critical step in the academic journey of undergraduate students. However, this process often faces obstacles due to a lack of information about lecturers' expertise and difficulties in matching thesis topics with relevant academic competencies. This study aims to develop a thesis advisor recommendation system using Natural Language Processing (NLP) to assist students in selecting advisors aligned with their proposed thesis topics. The system applies text preprocessing techniques such as stopword removal, stemming, and lowercasing, and utilizes two main approaches: TF-IDF with Cosine Similarity and semantic similarity using Sentence Transformers. The implementation results show that the system can automatically recommend two relevant advisors based on the similarity between thesis titles and lecturers' publications and competencies. Additionally, the system positively contributes to improving the efficiency of the advisor selection process and enhances user experience and satisfaction.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 2110511056] [Pembimbing 1 : Widya Cholil] [Pembimbing 2 : Novi Trisman Hadi] [Penguji 1: Jayanta] [Penguji 2: Muhammad Adrezo]
Uncontrolled Keywords: Recommendation System, Thesis Supervisor, Natural Language Processing, (TF-IDF, Semantic Similarity
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User: MUHAMMAD FARHAN SUKMANA
Date Deposited: 06 Aug 2025 02:16
Last Modified: 06 Aug 2025 02:16
URI: http://repository.upnvj.ac.id/id/eprint/37275

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