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Menampilkan 1–2 dari 2 artikel
Analisis Tindak Tutur Direktif dalam Manga Dandadan Volume 1 : Chapter 1
Mochammad Alwan Al Ataya
; Rangga Wasita Ningrat
; Jonathan Cristiano Rabika
; Syah Bintang
; Humannisa Rubina Lestari
Publikasi Para ahli Bahasa dan Sastra Inggris
Vol 3
, No 3
(2025)
This study investigates directive speech acts in Chapter 1 of the Japanese manga *Dandadan*, focusing on how characters use language to influence others’ behavior. The objective is to classify the types of directive utterances and analyze their pragmatic functions based on the speaker and context. A qualitative descriptive method was employed, using pragmatic theory to analyze speech data taken directly from dialogue panels. The analysis identified nine instances of directive speech acts, which...
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Real-Time Facial Emotion Detection Application with Image Processing Based on Convolutional Neural Network (CNN)
Hakim, Ghaeril Juniawan Parel
; Simangunsong, Gandi Abetnego
; Rangga Wasita Ningrat
; Jonathan Cristiano Rabika
; Muhammad Rafi' Rusafni
; Endang Purnama Giri
; Gema Parasti Mindara
International Journal of Electrical Engineering, Mathematics and Computer Science
Vol 1
, No 4
(2024)
Facial Emotion Recognition (FER) is a key technology for identifying emotions based on facial expressions, with applications in human-computer interaction, mental health monitoring, and customer analysis. This study presents the development of a real-time emotion recognition system using Convolutional Neural Networks (CNNs) and OpenCV, addressing challenges such as varying lighting and facial occlusions. The system, trained on the FER2013 dataset, achieved 85% accuracy in emotion classification,...
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