Salsabila Septiani
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Sentiment Analysis Of Social Media Data Using Deep Learning Techniques Salsabila Septiani; Nabila Putri; Dara Jessica; Arya Saputra
International Journal of Computer Technology and Science Vol. 1 No. 2 (2024): April : International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i2.59

Abstract

Social media platforms contain vast amounts of data that can reveal public sentiment on various topics. This research explores the application of deep learning techniques, particularly convolutional neural networks (CNN) and recurrent neural networks (RNN), to analyze sentiment within social media text. The results indicate that these models achieve high accuracy in sentiment classification, making them valuable tools for companies seeking to understand public opinion.
PENGGUNAAN METODE DIFFERENTIAL REINFORCEMENT OF ALTERNATIVE BEHAVIOR DALAM MENURUNKAN PERILAKU AGRESIF PADA ANAK TUNAGRAHITA DI SLB BINA INSANI Salsabila Septiani; Toni Yudha Pratama; Sistriadini Alamsyah Sidik
JURNAL PENDIDIKAN DAN KEGURUAN Vol. 3 No. 2 (2025): Februari
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

This study aims to determine the effect of using the differential reinforcement of alternative behavior method in reducing aggressive behavior in first-grade students with intellectual disabilities at SLB Bina Insani Purwakarta. This research employs a quantitative approach using the Single Subject Research (SSR) experimental method with an A – B – A design, consisting of a baseline phase 1 (A1) of 8 sessions, an intervention phase (B) of 16 sessions, and a baseline phase 2 (A2) of 8 sessions, each session lasting 30 minutes. The subject of this research is one student with intellectual disabilities in first grade at SLB Bina Insani Purwakarta. The targeted behavior in this study is to reduce aggressive hitting behavior in the subject. Data collection was conducted through observation and documentation methods. The obtained data were analyzed using descriptive statistics presented in tables and graphs. Based on the results of the study, the use of the differential reinforcement of alternative behavior method can reduce aggressive hitting behavior in children with intellectual disabilities. The rate obtained during the baseline phase 1 (A1) was 0.23 times/minute, during the intervention phase (B) it was 0.10 times/minute, and during the baseline phase 2 (A2) it was 0.06 times/minute. Based on this data, it can be concluded that the use of the differential reinforcement of alternative behavior method can reduce aggressive behavior in children with intellectual disabilities at SLB Bina Insani Purwakarta.