Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Sistem Komputer dan Informatika (JSON)
Andriawan, Ahmad Rizky
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Proyeksi Data dan Analisis Sentimen Penggunaan Vaksin di Kabupaten Indragiri Hulu Berbasis Machine Learning Andriawan, Ahmad Rizky; Mustakim, Mustakim
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 2 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3569

Abstract

Sentiment analysis is research that processed used computer that comes from opinion and emotion wich realized in shape of text. The method that used to analyze sentiment is using Text Mining used for mining the text in order to get comprehension about the important aspect. Text Mining done at social media Twitter. This research analyze public sentiment related with vaccination. Step of Preprocessing contains Crawling Data, Cleaning, Filtering, Stemming, TF-IDF, and labeling. Result from labeling and percentage calculation get percentage that Positive Sentiment is 29.17%, Negative Sentiment is 55.09% percentage, and Neutral is 15.74% percentage. Could be seen that Indonesian public still given many Negative Comments related with vaccination. Result of K-NN calculation with K-9 generate the accuracy is 84.53%.
Sentiment Analysis Classification Of Political Parties On Twitter Using Gated Recurrent Unit Algorithm And Natural Language Processing Andriawan, Ahmad Rizky; Mustakim, Mustakim; Novita, Rice
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 2 (2024): Vol. 7 No. 2 (2024): Issues January 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i2.10709

Abstract

General elections cannot be separated from the issue of political parties. The issue can be in the form of surveys to sentiment. The results of the current survey need to be done in-depth validation related to the truth. Sentiment analysis aims to validate the truth of the survey institution. There are 5 political parties used as datasets in this study, namely Partai Demokrasi Indonesia Perjuangan Party (PDIP), Gerakan Indonesia Raya Party (Gerindra), Golongan Karya Party (Golkar), Partai Kebangkitan Bangsa Party (PKB), and Nasional Demokrat Party (Nasdem). The Gated Recurrent Unit (GRU) algorithm is implemented in this research as an experiment in data calculation. Based on the results of the GRU algorithm calculation in calculating sentiment on political parties, it produces the highest data at 56.50% accuracy, 72.76% precision, and 100% recall
Co-Authors Mustakim Mustakim Rice Novita