Nur Afnita Asfar
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Texts and Images in Aquaman Movie (A Multimodal Discourse Analysis) Ni Wayan Kasni; Asrofil; Nur Afnita Asfar
International Journal of Systemic Functional Linguistics Vol. 5 No. 1 (2022)
Publisher : Warmadewa University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55637/ijsfl.5.1.4917.23-33

Abstract

This study discussed texts and images in Aquaman Movie using a multimodal discourse analysis by Kress and Van Leeuwen's (2006) theory. The objectives of this study are to find out how the texts and images modes are used in the movie and how is the meaning of the text related to the meaning of the image. This research used the descriptive qualitative method. The source of data in this study was taken from Aquaman Movie. The data was collected through downloading, reading the dialogue, watching, screenshotting, selecting and coding the data based on the theory Kress and Van Leeuwen (2006). The result found the text and image components are used to know and identify the meaning contained in the Aquaman movie, which aims to provide information to readers and viewers through the modes displayed in the movie. The texts and images mode explain each other’s meaning and show related and non-conflicting meanings so that, can be easily understood by the public. Keywords: Aquaman Movie, Images, Multimodal Discourse Analysis, Texts
The Implementation of the Forensic Method Using Voice Recognition Technique to Analyze Voice Resemblance Towards Mobile Phone’s Voice Recorder Nur Afnita Asfar
IJFL (International Journal of Forensic Linguistic) Vol. 3 No. 1 (2022)
Publisher : Universitas Warmadewa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/ijfl.3.1.4606.98-104

Abstract

This thesis is intended to analyze the implementation of the forensic method using voice recognition technique to analyze voice resemblance towards mobile phone’s voice recorder, by using Forensic audio method In Audio forensics: Theory and Analysis, namely Pitch Statistical Analysis, Forman and Bandwidth Statistical Analysis, Graphical Distribution Analysis and Spectogram Analysis. However, in this study, researchers only focus on identifying pitch and formants in the data to be analyzed. The aims of this study is to provide an example scenario the application of digital forensic techniques for voice pain recognizes Greetings compare the sound in the evidence and the sound suspect on mobile phone media with a voice case study woman. So it is hoped that the output of this research can become a reference or enrichment material for law enforcement agencies law and academics who wish to continue their research related to digital forensics. In doing on In this study, a Praat application was used to help with the audio comparison process from Known Samples and Unknown Sample. The results of each sample of digital evidence of native speakers' voices and recorded comparisons on the two assessment factors, namely Pitch and Formant, the researcher can't distinguish between the original speaker's voice and the comparison voice. The researcher can state that the accuracy of the pitch and formant analysis through Praat is very low and cannot be used as an indicator to distinguish that a date is correct as of the original voice, as evidenced by the results of the F0 value of the original voice data and the comparison obtained. Very flexible and inconsistent, some are the same, close to and even far from the F0 value of the subject data. This shows that everyone has a different pitch value because the intonation of each person's word pronunciation is different. It is possible that there are pitch values from several subjects that are almost the same.
A Literature Review of Hate Speech: Forensic Linguistics Study Nur Afnita Asfar
IJFL (International Journal of Forensic Linguistic) Vol. 3 No. 2 (2022): JURNAL FORENSIC 2022
Publisher : Universitas Warmadewa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55637/ijfl.3.2.6333.109-114

Abstract

Language is something that all people have, so all languages (and different ways of saying the same thing) are the same. In other words, they all share the exact genetic blueprint and are equally "human." The aim of the research is to describe a literature review of hate speech: forensic linguistics study.This research employs a descriptive methodology. Some forensic linguistics-related publications and papers comprise the data for this study. The result shows that with the help of forensic linguistics, it is possible to look into how people talk about legal issues arising from it. As an interdisciplinary field, forensic linguistics analyzes and defines courtroom language as evidence for police, judges, and attorneys. Forensic linguistics looks at texts like emergency calls, ransom demands and other threats, suicide letters, last words from death row, and confessions and denials by public figures. In addition, several areas of forensic linguistics can be investigated in legal matters, including auditory phonetics, acoustic phonetics, interpretation of expressed meaning (semantics), interpretation of inferred meaning (discourse and pragmatics), stylistics, and questioned authorship, the language of the law, language of the courtroom, interpretation, and translation. it may be decided that speech and language are inextricably linked and cannot be separated