ANALISIS OPINI MASYARAKAT TERHADAP MEDIA SOSIAL INSTAGRAM @rsbundapalembang MENGUNAKAN PENDEKATAN MACHINE LEARNING DENGAN ALGORITMA SUPPORT VECTOR MACHINE (SVM)

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ANALISIS OPINI MASYARAKAT TERHADAP MEDIA SOSIAL INSTAGRAM @rsbundapalembang MENGUNAKAN PENDEKATAN MACHINE LEARNING DENGAN ALGORITMA SUPPORT VECTOR MACHINE (SVM)

Alfandy, Muhammad Tri - Personal Name;

The use of social media by hospitals as a public communication platform presents challenges in understanding diverse public opinions expressed through online comments. RS Bunda Palembang utilizes Instagram to disseminate information and receive public feedback; however, the large volume of comments with varying sentiments makes it difficult for management to identify public perceptions accurately and efficiently. Therefore, this study aims to analyze public opinion toward the official Instagram account of RS Bunda Palembang (@rsbundapalembang) using a machine learning approach with the Support Vector Machine (SVM) algorithm. A total of 295 comments were collected through web scraping using Apify and processed through text pre-processing stages, including case folding, cleaning, normalization, tokenizing, stemming, and stopword removal. Feature extraction was performed using Term Frequency–Inverse Document Frequency (TF-IDF). Sentiment labeling was conducted using manual labeling and automatic labeling based on the Indonesian Sentiment Lexicon (Inset Lexicon) to classify comments into positive, negative, and neutral categories. The results indicate that most comments express positive sentiment. Model evaluation shows that SVM with TF-IDF features achieves good performance, although classification of negative and neutral sentiments is affected by data imbalance.

Availability

Central Library (Reference) T1895882025

T189588

Available but not for loan - Not for Loan

Detail Information

Series Title: -
Call Number: T1895882025
Publisher: Indralaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025
Collation: xvi, 124 hlm.; ilus.; tab.; 29 cm.
Language: Indonesia
ISBN/ISSN: -
Classification: 302.230 7
Content Type: Text
Media Type: -
Carrier Type: -
Edition: -
Subject(s): Prodi Sistem Informasi
Media Massa--Media Sosial
Specific Detail Info: -
Statement of Responsibility: MI

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ANALISIS OPINI MASYARAKAT TERHADAP MEDIA SOSIAL INSTAGRAM @rsbundapalembang MENGUNAKAN PENDEKATAN MACHINE LEARNING DENGAN ALGORITMA SUPPORT VECTOR MACHINE (SVM)

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