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All Journal JAIS (Journal of Applied Intelligent System) Jurnal Puan Indonesia
Shandy Tresnawati
Politeknik TEDC Bandung
Economics, Econometrics & Finance Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health

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A Covid-19 Sentiment Analysis on Twitter Using K-Nearest Neighbours Castaka Agus Sugianto; Shandy Tresnawati
Journal of Applied Intelligent System Vol 7, No 1 (2022): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v7i1.5984

Abstract

In December 2019, an outbreak named Corona Virus (SARS-CoV-2) occurred in the city of Wuhan, China which was later known as COVID-19. News of the development of the virus spread through various media, one of which was through the well-known platform Twitter. Twitter is one of the widely used media platforms to communicate about Covid-19. Information related to Covid-19 circulating in the community can be in the form of news or opinions or opinions. Then, the circulating information will be classified into three classes, namely positive, negative or neutral. The method used to calculate the prediction of text classification on Twitter is K-nearest neighbors (KNN). The dataset used in grouping on twitter by using the account name Covid19. Firstly, the dataset by crawling data or information on twitter. Secondly, the text mining stage to determine the class distance value and calculate the Euclidean distance formula based on all the training data to be tested. After the training process is complete, the evaluation model used will be used, the Euclidean results are taken based on the value of the closest distance. The accuracy of the model will be calculated using the previous Euclidean method. The results of this study he obtained with the highest value, one of which was 78% using a 50:50 sample comparison with k-5 and k-9 values.
PELATIHAN DASAR PEMROGRAMAN VISUAL DI SMK AL-IHSAN BATUJAJAR: Visual Programming Basic Training at SMK Al-Ihsan Batujajar Shandy Tresnawati; Nia Ekawati; Novita Lestari Anggreini
PUAN INDONESIA Vol. 5 No. 1 (2023): Jurnal Puan Indonesia Vol 5 No 1 Juli 2023
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v5i1.158

Abstract

The purpose of this community service is to teach basic training on visual basic programming. Visual Basic programming is a programming language studied by Informatics Engineering and Computer Engineering students. Visual basic is a computer programming language that is directive or commands that can be understood by the computer to carry out certain commands. Community service carried out by TEDC Bandung Polytechnic students held training for students of SMK Al-Ihsan Batujajar on Basic Visual Basic Programming. This is related to the subjects available at the school, namely Windows-based Programming Subjects. The method implemented by TEDC Polytechnic students is community service in the form of training. The result of this community service is that students of SMK Al-Ihsan Batujajar can understand and implement the results of training in Windows-based Programming subjects. The conclusion of this community service is that students are able to understand and re-implement the material that has been taught by using existing facilities.
Co-Authors Nia Ekawati Novita Lestari Anggreini Sugianto, Castaka Agus