Garuda - Garba Rujukan Digital

p-Index From 2020 - 2025

3.416

P-Index

This Author published in this journals

Azahra, Astrid Sulistya

Unknown Affiliation

Author-ID : 7476048

Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

Published : 26 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3

Implications of Changes in the Criminal Procedure Law of the ITE Law on Individual Rights in the Indonesian Legal System Sidiq, Fahmi; Azahra, Astrid Sulistya; Pirdaus, Dede Irman
International Journal of Humanities, Law, and Politics Vol. 2 No. 2 (2024): International Journal of Humanities, Law, and Politics
Publisher : Communication in Research and Publications (CRP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhlp.v2i2.82

The revision of the Electronic Information and Transactions Law (UU ITE) in Indonesia has become a hot topic of debate. Institutions and activists such as the Institute for Criminal Justice Reform (ICJR) and the Press Legal Aid Institute (LBH Pers) have presented various arguments regarding the impact of these changes. This article outlines the five main arguments advanced by the ICJR and LBH Pers. First, there is an objection to Article 27 paragraph (3) which regulates insults and defamation. Second, changes in criminal procedural law raise concerns about the discretionary authority of law enforcement officials without involving the courts. Third, the addition of cyberbullying-related crimes raises concerns about the potential for over-criminalization. Fourth, governments are given additional powers to filter and block content, which can result in potential abuse. Finally, the fifth argument relates to the "right to be forgotten" clause which can be used as a tool of censorship against news publications and journalists about one's past. This article also examines the impact of information technology developments on computer crime and underscores the importance of protecting individual rights and free speech in the digital age.

The Influence of Sleep Quality on The Health of Migrant Students in The City of Bandung Azahra, Astrid Sulistya; Prabowo, Agung; Saputra, Jumadil
International Journal of Health, Medicine, and Sports Vol. 2 No. 1 (2024): International Journal of Health, Medicine, and Sports
Publisher : Corespub

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhms.v2i1.72

of Bandung, as a group that faces unique challenges related to adapting to new environments and lifestyles, often experience problems related to the quality of their sleep. Urban environmental factors such as noise, bright light, and air pollution can affect their sleep patterns. This study uses a longitudinal observational approach to investigate the influence of sleep quality on the health and academic achievement of migrant students. Data were collected via questionnaires and, where possible, sleep measuring devices. The analysis results show a significant correlation between sleep quality, physical health, mental health, and academic achievement. College students with better sleep patterns tend to have better physical health, lower stress levels, and higher academic achievement. The implication of this research is the importance of supporting the sleep quality of overseas students through educational programs and accessibility to mental health resources. Lifestyle factors such as a balanced diet, adequate physical activity, and stress management are also important in improving sleep quality. This research provides in-depth insight into the factors that influence the sleep quality of migrant students and provides a basis for the development of interventions that support their well-being and academic success in urban environments.

Processing of Starfruit (Averrhoa bilimbi L.) on the Acceptability of Sweets as a Snack Food for Hypercholesterol Sufferers: Study of Color, Taste and Aroma Prabowo, Agung; Irman, Dede; azahra, astrid Sulistya
International Journal of Health, Medicine, and Sports Vol. 2 No. 1 (2024): International Journal of Health, Medicine, and Sports
Publisher : Corespub

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhms.v2i1.80

This research aims to examine the acceptability of color, taste and aroma of candied starfruit (Averrhoa bilimbi L.) with three different formulations, namely fresh starfruit, dried candied and wet candied. The assessment was carried out by 30 trained panelists using the Hedonic Scale Scoring method. The analysis results show that there are significant differences in the acceptability of color and taste of sweets based on different formulations. Wet sweets (P3) received the highest assessment in all aspects, including color, taste and aroma. Although aroma plays an important role in determining the deliciousness of food, statistical test results show that sweet formulations do not significantly influence the perception of aroma by panelists. These results provide important insights in developing candied starfruit products that are more in line with consumer preferences.

Development and Evaluation of Effervescent Powder Formulations Combining Red Ginger Extract and Honey Azahra, Astrid Sulistya; Prabowo, Agung; Yasmin, Arla Aglia
International Journal of Health, Medicine, and Sports Vol. 2 No. 2 (2024): International Journal of Health, Medicine, and Sports
Publisher : Corespub

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhms.v2i2.101

Effervescent powder formulations combining red ginger (Zingiber officinale var. rubrum) extract and honey were developed and evaluated for their physical, chemical, and antibacterial properties. The formulations were prepared using wet granulation method, and their organoleptic properties, moisture content, flow characteristics, dispersibility, foam height, pH, and hedonic responses were assessed. Additionally, the antibacterial activity of the formulations against Streptococcus pyogenes was evaluated using agar diffusion method. The results showed that the formulations exhibited variations in color, odor, taste, and physical form, with formulation F3 containing 10% red ginger extract demonstrating the best sensory attributes. All formulations met the moisture content and flow time criteria, indicating good stability and handling properties. They also displayed rapid dispersibility and proper foam height upon dissolution. The pH values fell within the acceptable range for consumption. However, none of the formulations showed significant antibacterial activity against Streptococcus pyogenes. Further optimization may be required to enhance the formulations' antibacterial efficacy.

Digital Health Literacy and Telemedicine in the Information Age: A Comprehensive Review and Future Prospects Azahra, Astrid Sulistya; Pirdaus, Dede Irman; Prabowo, Agung
International Journal of Linguistics, Communication, and Broadcasting Vol. 2 No. 1 (2024): International Journal of Linguistics, Communication, and Broadcasting
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijlcb.v2i1.89

In the digital era, advances in information technology have penetrated various aspects of life, including the health sector. This article reviews the importance of health literacy and digital literacy in facing the challenges of health information that is easily produced and disseminated in the digital world. Telemedicine or e-health is in the main spotlight in facilitating access to health services, while this research introduces a health literacy model with three level including functional, interactive, and critical. Digital literacy is described as a key skill in understanding, evaluating, and wisely utilizing online health information. The article also discusses the role played by the government and society in overcoming the spread of hoaxes and increasing digital literacy. Thus, by increasing health literacy and digital literacy, it is hoped that people can access correct health information and avoid misinformation, which will ultimately contribute to improving quality of life and welfare. In an increasingly digitally connected world, the ability to critically sort information and use technology wisely is key to maintaining the health and well-being of society. Therefore, joint efforts between the government, health institutions and the community in increasing health literacy and digital literacy are very important to face this ever-growing digital era. In the digital era, advances in information technology have penetrated various aspects of life, including the health sector. This article reviews the importance of health literacy and digital literacy in facing the challenges of health information that is easily produced and disseminated in the digital world. Telemedicine or e-health is in the main spotlight in facilitating access to health services, while this research introduces a health literacy model with three level including functional, interactive, and critical. Digital literacy is described as a key skill in understanding, evaluating, and wisely utilizing online health information. The article also discusses the role played by the government and society in overcoming the spread of hoaxes and increasing digital literacy. Thus, by increasing health literacy and digital literacy, it is hoped that people can access correct health information and avoid misinformation, which will ultimately contribute to improving quality of life and welfare. In an increasingly digitally connected world, the ability to critically sort information and use technology wisely is key to maintaining the health and well-being of society. Therefore, joint efforts between the government, health institutions and the community in increasing health literacy and digital literacy are very important to face this ever-growing digital era.

Family Communication Patterns in Javanese Culture and Their Influence on Children's Emotional Development: A Qualitative Study Kalfin, Kalfin; Azahra, Astrid Sulistya; Yuningsih, Siti Hadiaty
International Journal of Linguistics, Communication, and Broadcasting Vol. 2 No. 1 (2024): International Journal of Linguistics, Communication, and Broadcasting
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijlcb.v2i1.90

This research examines the application of communication patterns in Javanese cultural families and their impact on children's emotional development. Qualitative descriptive methods were used with in-depth analysis of field data. Data was obtained from interviews and observations of 18 families with socio-economic variations. The results show that family communication patterns play a central role in shaping children's emotional development. Authoritarian, permissive, and authoritative/democratic communication patterns were identified as the main patterns. Implementing democratic communication patterns has a positive impact on children's emotional development. Family understanding regarding the relationship between family communication and children's emotional development needs to be improved. The combination of Javanese and modern cultural values and religious life plays an important role in supporting children's emotional development. This research provides an in-depth view of communication patterns and their influence on children's emotional development in the context of Javanese culture. It is hoped that the implications of these findings will help families strengthen positive relationships and support children's emotional well-being in a rich and diverse cultural context. By understanding more deeply about communication patterns in Javanese families and their impact on children's emotional development, it is hoped that this research can provide practical guidance for families in strengthening positive relationships and supporting children's emotional well-being in the unique Javanese cultural context.

Modern Broadcasting: Leveraging Artificial Intelligence and Big Data for More Personalized Content Azahra, Astrid Sulistya; binti Abdullah Suhaimi, Nurnisaa; Yuningsih, Siti Hadiaty
International Journal of Linguistics, Communication, and Broadcasting Vol. 2 No. 2 (2024): International Journal of Linguistics, Communication, and Broadcasting
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijlcb.v2i2.108

Artificial intelligence (AI) technology and big data analytics have changed the landscape of the modern broadcast industry by providing a deeper understanding of audiences, increasing content personalization and strengthening engagement with viewers. In this study, we investigate the impact of the use of this technology in the broadcasting industry, with a focus on the analysis of demographic data, the use of recommendation algorithms, personalized interactions through AI technology, and optimization of broadcast time. Analysis of demographic data allows broadcasters to understand their audiences better, while the use of recommendation algorithms provides the opportunity to serve more personalized content to audiences, increasing engagement and interaction. The use of AI technology in audience interactions, such as chatbots and virtual assistants, also provides viewers with a more personalized experience, while optimizing broadcast time allows broadcasters to reach a wider audience and increase broadcast effectiveness. Although AI technology and big data analysis bring significant benefits, ethical challenges related to data privacy and security remain a major concern. By considering these challenges, broadcasters can leverage this technology effectively to improve content quality, increase engagement with audiences, and remain relevant in an ever-changing broadcast environment.

Utilizing Augmented Reality Media to Enhance Students’ Motivation and Spatial Thinking in 3D Geometry Learning Saputra, Moch Panji Agung; Hidayana, Rizki Apriva; Azahra, Astrid Sulistya
International Journal of Ethno-Sciences and Education Research Vol. 5 No. 3 (2025): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v5i3.1040

This study explores the effectiveness of Augmented Reality (AR) learning media to improve students' spatial ability and learning motivation in spatial building material. In the era of digital transformation of education, AR offers interactive 3D visualization that is crucial for understanding abstract concepts and manipulating objects virtually. This quasi-experimental study used a pretest-posttest control group design on 60 junior high school students, with spatial ability test instruments and ARCS motivation questionnaires. The results showed a significant increase in the spatial ability of the experimental group (AR) with an average difference of +27.07 points and Cohen's d 1.82 (very large effect), far exceeding the control group (+15.06 points). All dimensions of student learning motivation also increased significantly in the AR group, with a total average of 84.67 and Cohen's d 1.45 (large effect), overcoming the boredom of conventional learning. This increase was due to the interactivity, visual aesthetics, and immersive experience of AR that supports embodied cognition. It was concluded that AR media is very effective in improving students' spatial competence and active engagement, making it a meaningful innovative learning tool.

Comparison of Activation Functions in Recurrent Neural Network for Litecoin Cryptocurrency Price Prediction Saputra, Moch Panji Agung; Azahra, Astrid Sulistya; Pirdaus, Dede Irman
International Journal of Mathematics, Statistics, and Computing Vol. 3 No. 3 (2025): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijmsc.v3i3.233

The rapid advancement of information technology and digitalization has significantly transformed the financial sector, particularly with the emergence of cryptocurrencies characterized by high price volatility and complex movement patterns. Accurate price prediction of these crypto assets is essential to support investment decision-making and risk management. This study aims to compare the performance of six activation functions ReLU, Tanh, Sigmoid, Softplus, Swish, and Mish in a Simple Recurrent Neural Network (RNN) model for predicting the price of Litecoin, a widely traded cryptocurrency. Using historical daily closing price data from May 2020 to April 2025, the data were preprocessed through Min-Max normalization and sliding window sequence formation to fit the RNN input requirements. Each activation function was applied in the RNN model under consistent training conditions, and model performance was evaluated using Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and coefficient of determination (R²). Results indicate that the Swish activation function outperforms others by achieving the lowest RMSE of 4.58 and the highest R² score of 0.9578, demonstrating superior prediction accuracy and stable convergence. Tanh also showed competitive results, while Sigmoid and Softplus performed less effectively. In conclusion, Swish is recommended as the most suitable activation function for RNN-based cryptocurrency price forecasting due to its balance of accuracy and computational efficiency.

Comparative Analysis of Activation Functions in LSTM Models for Predicting Bank BNI Stock Prices Azahra, Astrid Sulistya; Saputra, Moch Panji Agung; Hidayana, Rizki Apriva
International Journal of Global Operations Research Vol. 6 No. 3 (2025): International Journal of Global Operations Research (IJGOR), August 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i3.396

The Indonesian capital market has experienced rapid development in the last two decades, with the banking sector as one of the main drivers. Stock price prediction is a crucial aspect for investors and market players to minimize risk and optimize investment strategies. Price fluctuations influenced by fundamental factors, market sentiment, and external conditions make prediction a complex challenge. This study aims to compare the performance of four activation functions: Rectified Linear Unit (ReLU), hyperbolic tangent (Tanh), Sigmoid, and Softplus, in the Long Short-Term Memory (LSTM) model in predicting the stock price of Bank Negara Indonesia (BNI). The method used is a quantitative approach with experiments, using historical data of BNI's closing stock prices for the period May 1, 2020, to April 30, 2025, obtained from Yahoo Finance. The data is processed through cleaning, normalization, transformation into a supervised learning format, and division into training data (80%) and test data (20%). Performance evaluation is carried out using RMSE, MAE, MAPE, and R² metrics. The results showed that the Softplus activation function produced the best performance with RMSE 128.714, MAE 101.815, MAPE 2.358%, and R² 0.924, followed by ReLU which had competitive performance and more efficient training time. The Tanh activation function was in the middle position, while Sigmoid showed the lowest performance. These findings indicate that Softplus and ReLU are optimal choices for BNI stock price prediction using LSTM, with Softplus excelling in accuracy and ReLU providing a balance between performance and efficiency.

Co-Authors Agung Prabowo Ahmad Riyansyah, Ahmad Apriva, Rizki binti Abdullah Suhaimi, Nurnisaa Fadhilah, Dila Nur Hasan, Mohammad Tanzil Hidayana, Rizki Apriva Ibrahim, Riza Andrian Irman, Dede kalfin Kalfin Kalfin, Kalfin Kristina Wijayanti Laksito, Grida Saktian Munahefi, Detalia Noriza Pirdaus, Dede Irman Saefullah, Rifki Sandi, Renda Saputra, Jumadil Saputra, Renda Sandi Sidiq, Fahmi Suhaimi, Nurnisaa binti Abdullah Syahla, Raynita Ulyana, Yaza Azzahara Wahid, Alim Jaizul Yasmin, Arla Aglia Yuningsih, Siti Hadiaty

Title

Found 26 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 26 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 26 Documents
Search