ANALISIS POLITIK DAN EKONOMI SERTA DUKUNGAN TERHADAP KEBERLANJUTAN IKN BERDASARKAN DATA X MENGGUNAKAN MODEL BERTOPIC

PRAYOGA, MUHAMMAD NAUFAL (2025) ANALISIS POLITIK DAN EKONOMI SERTA DUKUNGAN TERHADAP KEBERLANJUTAN IKN BERDASARKAN DATA X MENGGUNAKAN MODEL BERTOPIC. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

he development of Indonesia’s new capital city (IKN Nusantara) has sparked diverse public opinions, particularly on social media platforms such as Twitter. This study aims to analyze and categorize the main topics within public discourse regarding IKN using the BERTopic topic modeling method. The analysis began with collecting relevant tweets, followed by comprehensive preprocessing steps including text cleaning, normalization, tokenization, and lemmatization. Sentiment labeling was conducted using a lexicon-based approach, classifying tweets into positive and negative categories. Each sentiment category was then analyzed using BERTopic, which integrates BERT embeddings, UMAP for dimensionality reduction, and HDBSCAN for clustering. The results show that BERTopic effectively identifies dominant themes such as optimism toward infrastructure development and environmental sustainability (positive sentiment), as well as concerns over funding, transparency, and social impacts (negative sentiment). This research contributes to a structured understanding of public perception and provides strategic insights for evaluating national development policies. Kata kunci: BERTopic, Topic Modeling, Sentiment Analysis, New Capital City (IKN), Social Media, X, Public Opinion Pembangunan Ibu Kota Negara (IKN) Nusantara menimbulkan beragam opini di masyarakat, terutama yang tercermin melalui media sosial seperti Twitter. Penelitian ini bertujuan untuk menganalisis dan mengelompokkan topik-topik utama dalam opini publik mengenai IKN menggunakan metode topic modeling BERTopic. Proses analisis diawali dengan pengumpulan data tweet terkait IKN, diikuti oleh tahapan preprocessing yang mencakup pembersihan teks, normalisasi, tokenisasi, dan lemmatisasi. Sentimen pada tweet ditentukan menggunakan pendekatan lexicon-based dan diklasifikasikan ke dalam dua kategori: positif dan negatif. Selanjutnya, masing-masing kategori dianalisis secara tematik menggunakan BERTopic, yang mengintegrasikan embedding dari BERT, reduksi dimensi UMAP, dan pengelompokan HDBSCAN. Hasil penelitian menunjukkan bahwa BERTopic mampu mengidentifikasi berbagai isu dominan seperti optimisme terhadap pembangunan infrastruktur dan keberlanjutan lingkungan (sentimen positif), serta kekhawatiran atas pembiayaan, transparansi, dan dampak sosial (sentimen negatif). Studi ini memberikan kontribusi dalam memahami persepsi publik secara terstruktur dan dapat digunakan sebagai masukan strategis dalam evaluasi kebijakan pembangunan IKN. Kata kunci: BERTopic, Topic Modeling, Analisis Sentimen, Ibu Kota Negara (IKN), Media Sosial, X, Opini Publik

Item Type:	Thesis (S1)
Call Number CD:	FIK/INFO. 25 119
NIM/NIDN Creators:	41521010044
Uncontrolled Keywords:	BERTopic, Topic Modeling, Analisis Sentimen, Ibu Kota Negara (IKN), Media Sosial, X, Opini Publik
Subjects:	000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika 300 Social Science/Ilmu-ilmu Sosial > 300. Social Science/Ilmu-ilmu Sosial > 303 Social Process/Proses Sosial > 303.3 Coordination and Control/Koordinasi dan Kontrol > 303.38 Public Opinion/Opini Publik 700 Arts/Seni, Seni Rupa, Kesenian > 730 Plastic Arts and Sculpture/Seni Plastik dan Seni Patung > 731 Classical Mechanics, Solid Mechanics/Mekanika Klasik, Mekanika Benda Padat > 731.4 Techniques and Procedures of Sculpture/Teknik Seni Patung, Prosedur Seni Patung > 731.42 Modeling/Permodelan 900 Geography and History/Sejarah, Geografi dan Disiplin Ilmu yang Berkaitan > 970 History of North America/Sejarah Amerika Utara > 973 History of United States of America, USA/Sejarah Amerika Serikat > 973.7 Administration of Abraham Lincoln, 1861-1865/Administrasi Abraham Lincoln, 1861-1865 > 973.71 Social, Political, Economic History/Sosial, Politik, Sejarah ekonomi
Divisions:	Fakultas Ilmu Komputer > Informatika
Depositing User:	khalimah
Date Deposited:	06 Aug 2025 01:44
Last Modified:	06 Aug 2025 01:44
URI:	http://repository.mercubuana.ac.id/id/eprint/96580

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