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Journal : Journal Software, Hardware and Information Technology

Penerapan Natural Language Processing (NLP) dengan Metode Cosine Similarity pada Sistem E-Monev untuk Pencarian Program Pembangunan Daerah Ansyori, Moch Faizal; Ahmad Heru Mujianto
Journal Software, Hardware and Information Technology Vol 5 No 2 (2025)
Publisher : Jurusan Sistem Informasi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/shift.v5i2.183

Abstract

The Evaluation and Monitoring System (E-Monev) is a digital tool utilized for the periodic oversight of performance achievements and budget absorption within Regional Government Organizations (OPD). A primary challenge in its implementation lies in accurately identifying relevant regional development programs based on user text input. Conventional keyword-based search approaches are limited in their ability to comprehensively understand the semantic meaning of text, frequently yielding inaccurate or contextually irrelevant results. This study aims to design and develop a semantic search feature for the E-Monev system. It applies a Natural Language Processing (NLP) approach, employing the Cosine Similarity method and text representation based on BERT (Bidirectional Encoder Representations from Transformers). The data for this research was sourced from the Work Plan (Renja) documents of all OPDs in Bojonegoro Regency. These Renja documents were prepared in accordance with the Decree of the Minister of Home Affairs Number 900.1.15.5-3406 of 2024, which constitutes the Second Amendment to Decree of the Minister of Home Affairs Number 050-5889 of 2021, regulating the verification, validation, and inventory of updates to the classification, codification, and nomenclature of regional development and financial planning. During the analysis, both user input texts and Renja data were converted into embedding vectors, from which their semantic similarity was calculated. Test results demonstrate that the developed system significantly improves search accuracy, achieving a precision value of 0.884. 
Co-Authors Abdur Rohman Achmad Zakariya, Edo Adinda Yuli Setiani Aisha, Dita Aldi Kurniawan Aldi Sawung Sajiyanto Ali , Mahrus Amrulli, Danang Rifqi Anditha Putri Fasha, Kharisma Anita Andriani ANITA ANDRIANI, ANITA Ansyori, Moch Faizal ARIES DWI INDRIYANTI, ARIES Aries Dwi Indriyanti, Aries Dwi Arsam, Rinaldo Yudianto Augusta Jannatul Firdaus , Reza Bambang Soedijono, Bambang Bariyyah, Sitti Khairul Basuki Diah Puspita, Dwi Ratna Ayu Eri Sasmita Susanto Faizah, Arbiati Fatkhur Rizal, Muhammad Ginanjar Setyo Permadi Habibanis, Fauzani Hadi Sucipto Hadi Sucipto Hadi Sucipto, Hadi Hadijah Pili, Astuti Henderi . I Gusti Lanang Eka Prismana I Gusti Lanang Putra Eka Prismana, I Gusti Lanang Putra Eka I Kadek Dwi Nuryana I Kadek Dwi Nuryana I Kadek Dwi Nuryana, I Kadek Dwi Iftitaahul Mufarrihah Iftitaahul Mufarrihah Imam Sopingi Indana Lazulfa Indana Lazulfa, Indana Ismail Budi Aswin Khoiry Mahmud Kistofer , Terdy Kistofer, Terdy Kristianto , Hery Kristianto, Hery Kusmiatun M. Renaldi Wildan F Mahfudiyanto Mahrus Ali Mahrus Ali Mashuri, Chamdan Mauludi, Kartika Mohammad Fikri Agus Setiawan Muhammad Dhany Al Farizy Muhammad Fatkhur Rizal Muhammad Rizal Dwiki Muhammad Toha Muhimmatul Mahmuda Nurnanda Yudha Prawira Putri, Unzilla Savika Radityo Wiratsongko Rahma Ramadhani Rahman, Kamil Fatur Reza Augusta Jannatul Firdaus Rizal, Muhammad Fatkhur Sahlan M Saleh Slamet Wirawan Sri Widoyoningrum Suhartanto, Martin Suryo Sasono, Damar Tanhella Zein Vitadiar Terdy Kistofer Umi Rahmawati, Evis Vitadiar, Tanhela Zein Widiantoro, Muh Riandi Wiratsongko, Radityo Yudistira Putra, Rocky Ardiansyah Zein Vitadiar , Tanhella Zein Vitadiar, Tanhella