CD Skripsi

Implementasi Text Mining Dengan Random Forest Untuk Analisis Sentimen Tanggapan Masyarakat Terhadap Rkuhp 2022

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ABSTRACT
Indonesia is a state of the law as stipulated in Article 1 paragraph (3) of the third amendment of the 1945 Constitution. The state sets rules and policies to regulate society. The power exercised by the government/ruler can be interpreted as state action. This includes the enactment of the Criminal Code, commonly known as the Criminal Code, which is confirmed by Law Number 73 of 1958 concerning the enactment of Law Number 1 of 1946 of the Republic of Indonesia concerning criminal law regulations for the entire territory of the Republic of Indonesia and amending the Criminal Code. The Draft Criminal Code (RKUHP), which has not yet been ratified, has drawn a lot of criticism in Indonesia because it is considered over criminalization. The amount of criticism conveyed by the public has caused the RKUHP to become one of the trending topics or the most frequently discussed topics in 2022. The Draft Criminal Code will be passed in July 2022 by the government and the House of Representatives. One of the articles that are being discussed by the public is the punishment for people who insult the government, especially on social media. Some people think that the article deviates fromIndonesia's democratic system. With the advancement of technology, many people complain about the changes in the Criminal Code on social media, especially Twitter. Therefore, the researcher aims to determine the accuracy of the results ofpublic sentiment toward the 2022 Criminal Code on Twitter using the Random Forest method. In this study, data collection used a snsscraper in jupyter notebook. The data used is data from October 2022 to November 2022. This method produces the highest accuracy of 0.81 at the 7th index and the lowest accuracy is 0.61 at the4th index.
Keywords: Sentiment Analysis, RKUHP, Random Forest.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1803124130

Penerbit

Pekanbaru : Universitas Riau – FMIPA – Sistem Informasi., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1803124130

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

tethi

Versi lain/terkait

Lampiran Berkas

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