Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal JOIV : International Journal on Informatics Visualization Journal of English Education and Teaching (JEET) INTERACTION: Jurnal Pendidikan Bahasa
Amalo, Elizabeth Anggraeni
Unknown Affiliation
Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Students’ Engagement in Video-Recorded Presentation to Enhance Public Speaking Skills during COVID-19 Outbreak Hardiningsih, Sri; Aswani, Aprilza; Amalo, Elizabeth Anggraeni; Yusuf, Muhammad; Anggraeni, Dewi; Pandiya, Pandiya
Journal of English Education and Teaching Vol. 9 No. 2 (2025): Journal of English Education and Teaching
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jeet.9.2.310-326

Abstract

This study aimed to explore the synergistic integration of these competencies within the context of Business English education, particularly relevant during the COVID-19 pandemic's shift to online instruction. This study involved 23 vocational students aged 21-23 who were tasked with watching model public speaking videos and subsequently creating and recording their own presentations. Data was collected through questionnaires and in-depth interviews, revealing that this video-recording task significantly benefited students by enabling them to identify their individual misconceptions about public speaking, actively engage in self-directed learning strategies, and demonstrably improve their overall public speaking proficiency. These findings underscore the potential of incorporating such video-based assignments in online language learning environments to foster both independent learning and enhanced communication skills. Furthermore, our research discusses the pedagogical implications of these results for educators and suggests avenues for future research in the fields of language education and online learning, emphasizing the value of combining self-assessment through recording with autonomous learning principles to enhance communicative competence.
Escapism in Sam Shepard’s The Buried Child Sumarsono, Irwan; Nurisma, Radina Anggun; Agusalim, Imam Dui; Kusumawati, Eny; Amalo, Elizabeth Anggraeni
INTERACTION: Jurnal Pendidikan Bahasa Vol. 8 No. 2 (2021): INTERACTION: Jurnal Pendidikan Bahasa
Publisher : Program Studi Pendidikan Bahasa Inggris, Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study is a qualitative research that was conducted to analyze the escapism of Dodge’s in Sam Shepard’s The Buried Child. The writer uses the psychological approach to analyze the escapism of the main character, Dodge. Data were collected from some sources. The main source of the data was taken from the work entitled The Buried Child, while the supporting sources were derived from books, journals and from the internet. The collected data were analyzed using the descriptive analytic techniques. The study focused on the factors behind the reasons why Dodge withdraws himself from his real world, what makes him an escapist that makes the disintegration of his family. Dodge’s escapism takes place since he is betrayed by his wife and his own son who have an incestuous relationship that make them have a baby, and to cover this sin, the baby was buried. The betrayal of his wife and son makes him escapes from the reality into alcohol and makes him does not have any respect and love to his family
Mining Opinions on a Prominent Health Insurance Provider from Social Media Microblog: Affective Model and Contextual Analysis Approach Rasyada, Ihda; Barakbah, Ali Ridho; Amalo, Elizabeth Anggraeni
JOIV : International Journal on Informatics Visualization Vol 7, No 2 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.2.1771

Abstract

Social media plays a significant role in enhancing communication among organizations, communities, and individuals. Besides being a mode of communication, the data generated from these interactions can also be leveraged to assess the performance of an institution or organization. People may evaluate public companies based on the opinions of their users. However, user-supplied information is brief and written in natural language. In addition to being brief, the process of sending messages or engaging in other social media interactions contains a great deal of context information. This multiplicity of context can be utilized to conduct a more in-depth analysis of user opinion. This study presents a new approach to opinion mining for social media microblogging data by applying an affective model and contextual analyses. The affective model is applied for sentiment analysis to measure the degree of each adjective from user opinion by evaluating adjectives according to their varying levels of pleasure and arousal. The contextual analysis in this paper is modeled based on topic, user, adjective, and personal characteristics. The contextual analysis has four main features: (1) Temporal keyword sentiment context, (2) Temporal user sentiment context, (3) User impression context, and (4) Temporal user character context. Our affective model outperformed 75.6% the accuracy and 74.98% of F1-score, rather than SVM. In the experiment, the contextual analysis performed graph visualization of output results for each query feature for future development. Feature one to four successfully processes the query to produce a visualization graph.
Co-Authors Agusalim, Imam Dui Ali Ridho Barakbah Aswani, Aprilza Dewi ANGGRAENI Eny Kusumawati Muhammad Yusuf Nurisma, Radina Anggun Pandiya, Pandiya Rasyada, Ihda Sri Hardiningsih Sumarsono, Irwan