Detail Cantuman Kembali
Application of Extreme Programming Methods in the Design and Building of the Nusantara Capital Sentiment Analysis System
- Bagikan:
Abstract:Information about the capital city of the archipelago (IKN)
in the digital era serves as a platform for individuals to express views
on development, policies, and socio-economic impacts. Such
information often contains personal emotional expressions,
categorized as negative, neutral, or positive sentiments. This study
aims to design a sentiment analysis system to evaluate public opinions
regarding IKN. The system utilizes Google NLP services, which offer
sentiment measurement features for analyzed text, and web scraping
techniques to automate data collection from online sources. The
development process employs the Laravel framework and follows the
Extreme Programming approach, which ensures work efficiency.
Sentiment analysis is conducted using the Support Vector Machine
(SVM) method, achieving an accuracy rate of 95%. The system is
designed to be web-based, ensuring accessibility across devices,
including smartphones and computers. The results demonstrate that
this sentiment analysis system can help individuals, organizations, and
governments gain deeper insights into public perspectives on IKN.
Furthermore, it serves as a valuable tool for strategic decision-making
and policy evaluation related to IKN development. Future research
may explore expanding the data sources and integrating more
advanced analytical techniques to improve system performance.
Keywords: Sentiment Analysis ; Extreme Programming ; Information
Systems ; Capital of the Archipelago ; Support Vector Machine (SVM)
013 SAI P R.1
NONE
Text Skripsi
Indonesia
UNIVERSITAS TEKNOLOGI DIGITAL INDONESIA (UTDI)
2025
Yogyakarta
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