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All Journal Journal International Journal of Teaching and Learning (INJOTEL) Journal of Blockchain, Nfts and Metaverse Technology
Alisya Mutia Mantika
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Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Library & Information Science Mathematics Other

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COMMUNICATION AND EMOTIONAL SKILLS DEVELOPMENT PROGRAM FOR CHILDREN IN ORPHANAGES Alisya Mutia Mantika; Rima Tamara Aldisa
International Journal of Teaching and Learning Vol. 2 No. 5 (2024): MAY
Publisher : Adisam Publisher

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Abstract

Through a series of structured activities and based on child center learning principles, this program aims to strengthen the ability to convey their ideas, feelings and needs effectively, help children understand and manage their emotions healthily, improve communication and interaction skills positively with other people, as well as building healthy and harmonious relationships with the surrounding environment. With a focus on developing interpersonal skills, problem solving, and self-understanding, this program will help in building positive relationships with others and improve the quality of their social interactions. Thus, it is hoped that the implementation of this program will have a positive impact on social, emotional and psychological development of children in orphanages, well provide strong foundation for their personal growth and future success.
Sentiment Analysis on Twitter Using Naïve Bayes and Logistic Regression for the 2024 Presidential Election Alisya Mutia Mantika; Agung Triayudi; Rima Tamara Aldisa
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 2 No. 1 (2024): February 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v2i1.267

Abstract

In accordance with the notion of democracy which is the basis of the state of Indonesia, general elections will be held in 2024. In the implementation of the General Election there is a campaign to lead the public vote to choose the best candidate according to public opinion. Twitter social media is one of the media to voice opinions as well as share information to become one of the indirect campaigning platforms. Social media also does not escape negative issues, community rumors, and even the digital footprint of presidential candidates which can be a very important consideration in campaigning. This research aims to see the public's response to the 2024 presidential candidates. This research is conducted based on public opinion on presidential candidates, then public opinion data taken from Twitter social media will go through a pre-processing process to clean the data before the data is classified into Naive Bayes and Linear Regression modeling. The two classification models are then sought for the highest performance accuracy value and confusion matrix with 80:20 splitting data. The results showed that the Naive Bayes classification model had a higher accuracy value than the Logistic Regression classification model, which was 63% for Anies Baswedan candidate, 77% for Ganjar Pranowo candidate, and 44% for Prabowo Subianto. The highest accuracy value was obtained by the sentiment data of 2024 presidential candidate Ganjar Pranowo, which was 77%.
Co-Authors Agung Triayudi Rima Tamara Aldisa