Article Per Year (5 Year)
p-Index From 2020 - 2025
1.286
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Pendidikan Science in Information Technology Letters Bulletin of Social Informatics Theory and Application
Anusua Ghosh, Anusua
Unknown Affiliation
Computer Science & IT Education Social Sciences

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
Smartphone usage on senior citizen fithri, hidayah kariima; Rifani, Jeanny Indra; Aniendya, Mutyara Whening; Jamilah, Nadiratin; ghosh, anusua
Bulletin of Social Informatics Theory and Application Vol. 4 No. 1 (2020)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v4i1.96

Abstract

The impact of the digital era is the gap between active smartphone users and those who are not particular. Then IT is not fully felt by the senior citizen. This study aims to determine the ability of the senior citizen in the use of smartphones. The results of the study will be used as a reference for teaching IT to four senior citizen people. As a result, two senior citizen people want to be taught to use smartphones intensive and privately.
Learning management systems with emphasis on the Moodle at UniSA Ghosh, Anusua; Nafalski, Andrew; Nedic, Zorica; Wibawa, Aji Prasetya
Bulletin of Social Informatics Theory and Application Vol. 3 No. 1 (2019)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v3i1.160

Abstract

With recent advances in technology and the Internet, the concept of teaching and learning have evolved significantly. Conventional face-to-face teaching is becoming a thing of the past as knowledge is everywhere and accessible from anywhere. Thus, a shift to e-learning is gaining momentum. Educational institute, companies, individuals and training organizations are embracing new technology and creating a shared online platform to facilitate learning, referred to as the Learning Management Systems (LMS). LMS are software that provide an online portal to collaborate in teaching and learning seamlessly, making it more productive and engaging. This paper aims to review the top ten LMSs both cloud based and open source with regards to their compatibility, usefulness, security, accessibility, scalability, stability/reliability and de-sign in general with emphasis on the recent development of the Moodle and NetLab at University of South Australia (UniSA). The open source online learning platform Moodle is adopted by UniSA to provide educators a space for collaborative learning using the optimized tools to create activities. Moreover, the Netlab online remote laboratory developed at UniSA, provides a platform for academic staff for teaching and demonstrations during lectures and for students to conduct practical experiments remotely on real laboratory equipment.
Modern parenting: An ethical way to nurture children in digital era Burhan, Oemar Syarif; Praditia, Wahyu Eka; Admodjo, Bhimantoro Suryo; Yuniarto, Gustinar Yus; Ghosh, Anusua
Bulletin of Social Informatics Theory and Application Vol. 5 No. 1 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v5i1.199

Abstract

The internet becoming more sophisticated and advancing at a tremendous rate is also a concern for parents. As children are introduced to the online platform, parents worry about their safety and nurture them from potential risks. Parents gradually develop their parenting methods in this era by learning from community websites, blogs, social media, and apps. The information equips them to deal with their children when playing with electronic devices or surfing websites. There are various types of Parenting Styles, from strict about precluding parenting. When parents are strict, they will be using technology that can monitor or track their children's activities by remotely accessing their children's device, camera, recording text messages, and locations. This type of parenting does make their children feel very uncomfortable. On the other hand, not being concerned about their children accessing the internet can be very dangerous as they can access any sites that are not allowed for their age. This article will review previous Digital Parenting experiences and analyze/design a solution around what parents should do when nurturing and guiding their children for a better future in this digital age.
The impact of social media use on suicide-related behavior Arrazy, Muhammad Afdhal; Ndaru, Muhammad Tatag Adi; Sari, Nandha Mustika; Ariyanti, Mei Dwi; Ghosh, Anusua
Bulletin of Social Informatics Theory and Application Vol. 5 No. 1 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v5i1.398

Abstract

Cyberbullying and addictive behavior are examples of the negative impacts that social media use that lead to suicidal thoughts. This study uses a systematic literature review to show the consequences of using social media that lead to suicidal behavior in various parts of the world. 37 articles were used to support this study that consists of 19 articles about cyberbullying and 18 articles about social media addiction. According to the findings of this report, there is a connection between cyberbullying and internet addiction and an increased risk of suicide or suicidal behavior among teenagers due to social media access. Addictive behavior of social media use has a direct effect on mental health and causes depression. Meanwhile, cyberbullying causes a lack of self-confidence, depression, frustration, self-awareness, and suicidal thoughts. Suicide is a way out for teenagers who experience various problems. Suicide prevention is also discussed.
The Contribution From Social Media, Healthy Lifestyle, And Religion To Teacher Competence And Its Impact On Teacher Performance Aindra, Alifah Diantebes; Wibawa, Aji Prasetya; Nurhadi, Didik; Ghosh, Anusua
Jurnal Ilmu Pendidikan Vol 29, No 2 (2023): December
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um048v29i2p101-109

Abstract

This study examines the contribution of social media, healthy lifestyle and religion to teacher competence and performance. Testing and data analysis techniques used path analysis. Using the technique of Purposive Consecutive Sampling within one month, the respondents obtained 189 teachers. Data collection techniques using questionnaires. Based on the results of the research that has been done, it can be said that social media, lifestyle, and religion contribute to teacher competence and impact teacher performance. However, when viewed partially, other findings show that social media only contributes to teacher competence. A healthy lifestyle contributes to teacher competence and teacher performance. In contrast, religious variables do not contribute to teacher competence and teacher performance, and teacher competence contributes to teacher performance. Based on the proposed relationship scheme, it was found that teacher competence could not mediate the relationship between independent variables and teacher performance
Performance analysis of naive bayes in text classification of islamophobia issues Ridho, Faiz Mohammad; Wibawa, Aji Prasetya; Kurniawan, Fachrul; Badrudin, Badrudin; Ghosh, Anusua
Science in Information Technology Letters Vol 3, No 1 (2022): May 2022
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/sitech.v3i1.1211

Abstract

In the aftermath of the 2013 Woolwich attack, a disturbing surge in hate crimes against the Muslim community emerged both offline and on social media platforms, prompting concerns about the widespread issue of Islamophobia. To systematically evaluate and quantify the presence of Islamophobic sentiment in online spaces, this study employed sentiment analysis, a robust method for deriving insights from textual data. Two classification models, Bernoulli Naive Bayes and Multinomial Naive Bayes, were selected to conduct a thorough analysis. Bernoulli Naive Bayes, specialized in handling binary data, was used for binary sentiment analysis, while Multinomial Naive Bayes, well-suited for data with multiple occurrences, was applied for more comprehensive analysis. The research encompassed nine meticulously designed test-train data scenarios, ranging from a 10:90 test-train data ratio to a 20:80 ratio. Surprisingly, both models exhibited a maximum accuracy rate of 68% in their respective optimal scenarios, raising intriguing questions about the potential and limitations of sentiment analysis and Naive Bayes models in the complex task of identifying and quantifying Islamophobic content on social media
Analyzing event relationships in Andersen's Fairy Tales with BERT and Graph Convolutional Network (GCN) Daniati, Erna; Wibawa, Aji Prasetya; Irianto, Wahyu Sakti Gunawan; Ghosh, Anusua; Hernandez, Leonel
Science in Information Technology Letters Vol 5, No 1 (2024): May 2024
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/sitech.v5i1.1810

Abstract

This study explores the narrative structures of Hans Christian Andersen's fairy tales by analyzing event relationships using a combination of BERT (Bidirectional Encoder Representations from Transformers) and Graph Convolutional Networks (GCN). The research begins with the extraction of key events from the tales using BERT, leveraging its advanced contextual understanding to accurately identify and classify events. These events are then modeled as nodes in a graph, with their relationships represented as edges, using GCNs to capture complex interactions and dependencies. The resulting event relationship graph provides a comprehensive visualization of the narrative structure, revealing causal chains, thematic connections, and non-linear relationships. Quantitative metrics, including event extraction accuracy (92.5%), relationship precision (89.3%), and F1 score (90.8%), demonstrate the effectiveness of the proposed methodology. The analysis uncovers recurring patterns in Andersen's storytelling, such as linear event progressions, thematic contrasts, and intricate character interactions. These findings not only enhance our understanding of Andersen's narrative techniques but also showcase the potential of combining BERT and GCN for literary analysis. This research bridges the gap between computational linguistics and literary studies, offering a data-driven approach to narrative analysis. The methodology developed here can be extended to other genres and domains, paving the way for further interdisciplinary research. By integrating state-of-the-art NLP models with graph-based machine learning techniques, this study advances our ability to analyze and interpret complex textual data, providing new insights into the art of storytelling
Co-Authors Admodjo, Bhimantoro Suryo Aindra, Alifah Diantebes Aji Prasetya Wibawa Aniendya, Mutyara Whening Ariyanti, Mei Dwi Arrazy, Muhammad Afdhal Burhan, Oemar Syarif Didik Nurhadi Erna Daniati Fachrul Kurniawan Fithri, Hidayah Kariima Jamilah, Nadiratin Leonel Hernandez, Leonel Nafalski, Andrew Ndaru, Muhammad Tatag Adi Nedic, Zorica Praditia, Wahyu Eka Ridho, Faiz Mohammad Rifani, Jeanny Indra Sari, Nandha Mustika Siti Helmyati Wahyu Sakti Gunawan Irianto Yuniarto, Gustinar Yus