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All Journal Sintaksis: Publikasi Para Ahli Bahasa dan Sastra Inggris International Journal of Electrical Engineering, Mathematics and Computer Science
Rangga Wasita Ningrat
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Computer Science & IT Engineering Languange, Linguistic, Communication & Media Mathematics

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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): December : International Journal of Electrical Engineering, Mathematics and Com
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeemcs.v1i4.123

Abstract

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, demonstrating high performance in detecting happiness, sadness, and surprise. The results highlight the system's effectiveness in real-time applications, offering potential for use in mental health and customer behavior analysis.
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
Sintaksis : Publikasi Para ahli Bahasa dan Sastra Inggris Vol. 3 No. 3 (2025): May : Sintaksis : Publikasi Para ahli Bahasa dan Sastra Inggris
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/sintaksis.v3i3.1780

Abstract

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 include commands, prohibitions, invitations, and requests. Ayase Momo emerges as the character who produces the most directive utterances, predominantly in the form of commands and prohibitions, indicating her dominant and assertive communication style. Okarun, in contrast, tends to use polite requests and prohibitions, suggesting a more cautious and respectful approach. The findings reveal that the types of directive speech acts used are closely related to each character’s personality and the emotional context of the scene. These results underscore the role of speech acts in character development and narrative dynamics within manga. The study’s implication lies in showing how linguistic choices in manga dialogue reflect interpersonal power relations and emotional intensity. Future research is encouraged to explore directive speech acts across multiple chapters for broader insights.
Co-Authors Endang Purnama Giri Gema Parasti Mindara Hakim, Ghaeril Juniawan Parel Humannisa Rubina Lestari Jonathan Cristiano Rabika Mochammad Alwan Al Ataya Muhammad Rafi' Rusafni Simangunsong, Gandi Abetnego Syah Bintang