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Violation of the Code of Ethics for Constitutional Judges in the Constitutional Court's Decision on Requirements for Presidential and Vice Presidential Candidates Pirdaus, Dede Irman; Sidiq, Fahmi; Rusyn, Volodymyr
International Journal of Humanities, Law, and Politics Vol. 2 No. 1 (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.v2i1.84

Abstract

As a country based on legal principles, Indonesia has a responsibility to respect and prioritize the principles of the rule of law, including independence and the absence of partiality in the judicial system. The level of success in implementing this principle can be measured by the extent to which the judiciary is independent in carrying it out to realize justice based on the law. However, the power of the Constitutional Court (MK) cannot be avoided from criticism and evaluation. For example, a Constitutional Court decision attracted public attention regarding the requirements for presidential and vice presidential candidates. Therefore, this article discusses the impact of the controversy that emerged after the decision of the Constitutional Court (MK) in Case Number 90/PUU-XXI/2023 on January 4 2023. This decision, which includes the cancellation of part of Law Number 7 of 2017, has raised various criticisms and doubts about the independence of the Constitutional Court. By focusing on the role of Chief Justice of the Constitutional Court Anwar Usman in minority opinions, this article analyzes the examination carried out by the Honorary Council of Constitutional Court Judges (MKMK) regarding alleged ethical violations. The implications for the credibility of the Constitutional Court as a democratic oversight institution are a major concern in this context.
Inheritance Rights of Children Born Out of Wedlock in the Perspective of Islamic Law Pirdaus, Dede Irman; AS, Nurnisaa
International Journal of Humanities, Law, and Politics Vol. 2 No. 4 (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.v2i4.158

Abstract

This study aims to analyze the legal status of illegitimate children from the perspective of Islamic law and civil law in Indonesia, focusing on aspects of lineage, inheritance rights, and legal protection. This study uses a literature study method with descriptive-analytical analysis to compare regulations in Islamic law and positive law. In Islamic law, illegitimate children only have lineage and inheritance rights through the mother and her family, while in civil law, illegitimate children can obtain legal recognition from their parents through a process of recognition or a court decision. This study also highlights the role of the Constitutional Court Decision Number 46/PUU-VIII/2010 which provides further legal protection for illegitimate children, especially regarding civil rights. Although there are fundamental differences in the recognition of lineage and inheritance rights, both legal systems agree on the importance of protecting children's basic rights
Tramadol Abuse Among Adolescents: Analysis Based on Differential Association Theory in Tasikalaya Regency Pirdaus, Dede Irman; Ibrahim, Riza Andrian; Yuningsih, Siti Hadiaty
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.v2i1.75

Abstract

Adolescents in Tasikalaya District show a tendency to be susceptible to Tramadol protection, a type of opioid analgesic commonly used to reduce moderate to severe pain. This phenomenon is a resource for the medical community, health practitioners, local governments and other related parties. Serious attention is needed to this problem to prevent negative impacts on the health and welfare of adolescents in the region. Coordinative efforts between the health, education and government sectors need to be strengthened to develop effective prevention and intervention strategies. A deep understanding of the factors driving Tramadol is key in designing appropriate preventive measures. This research examines the use of the drug tramadol among teenagers in Tasikalaya Regency using a qualitative approach and Differential Association Theory. The results of the study showed that adolescents' support for tramadol was caused by social and environmental factors, including interactions with peers and family members who also used the drug. Teenagers often rationalize their behavior and have certain attitudes that influence their decision to take tramadol. Apart from that, the easy availability of tramadol medication and affordable prices also influences teenagers' choices. This study provides a deeper understanding of the problem of tramadol among adolescents and suggests comprehensive preventive measures.
Utilization of Used Rubber Bands as Sports Equipment for Skipping Rope Pirdaus, Dede Irman; Yohandoko, Setyo Luthfi Okta; Lianingsih, Nestia
International Journal of Health, Medicine, and Sports Vol. 2 No. 3 (2024): International Journal of Health, Medicine, and Sports
Publisher : Corespub

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhms.v2i3.123

Abstract

This study explores the potential of reusing discarded rubber bands as an alternative material to create an affordable and environmentally friendly jump rope. The study emphasizes the importance of physical activity, particularly jump rope, for maintaining health and fitness. By utilizing discarded rubber bands, the study aims to address waste reduction and the need for accessible sports equipment. The methodology involves collecting, cleaning, and assembling discarded rubber bands into a functional jump rope. Fitness measurements, including resting heart rate, maximum jumps per minute, and time to exhaustion, were recorded before and after the exercise period. Results showed improvements in all measured parameters: decreased mean resting heart rate (from 72.4 to 68 bpm), increased maximum jumps per minute (from 84.8 to 110), and longer time to exhaustion (from 5.2 to 7.2 minutes). These findings suggest that the rubber band jump rope effectively contributed to the cardiovascular health, stamina, and endurance of the participants. The study concludes that the repurposed rubber band jump rope offers a viable, cost-effective, and environmentally friendly alternative to traditional sports equipment. This innovation has the potential to contribute to environmental sustainability, social inclusivity in fitness, and economic accessibility to sports equipment.
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

Abstract

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.
The Impact Of Smartphone Use On Social Interaction In The Work Environment: Case Study Of Pt Teodore Pan Garmindo Tasikmalaya Employees Pirdaus, Dede Irman; Amal, Moh Alfi; kalfi
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.v2i1.91

Abstract

This research aims to evaluate the impact of the use of communication technology, especially smartphones, on social interactions in the work environment. Data was collected through a survey filled out by 150 employees from Pt Teodore Pan Garmindo Tasikmalaya. The results of the analysis show that smartphone use has the potential to influence social interactions, especially in the context of face-to-face communication. Women tend to be more involved in social interactions via smartphones compared to men. These findings emphasize the importance of controlling smartphone use wisely in social interaction situations. Effective face-to-face communication remains the key to building harmonious relationships in the work environment.
Implementing EfficientNetB0 for Facial Recognition in Children with Down Syndrome Pirdaus, Dede Irman; Dwiputra, Muhammad Bintang Eighista; Saputra, Moch Panji Agung
Operations Research: International Conference Series Vol. 6 No. 2 (2025): Operations Research International Conference Series (ORICS), June 2025
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v6i2.383

Abstract

Early detection of Down Syndrome in children is crucial to provide more appropriate medical and educational interventions. This study aims to build and evaluate a deep learning-based classification model using the EfficientNetB0 architecture to distinguish facial images of children with Down Syndrome and healthy children. The dataset used consists of two classes (Down Syndrome and healthy), which have gone through an augmentation process to increase data diversity and prevent overfitting. The model was trained using the Adam algorithm with a learning rate of 0.0001 and a sparse categorical crossentropy loss function for 10 epochs. The training results showed that the model achieved a validation accuracy of 93.94%, with the lowest validation loss value of 0.2390. Further evaluation was carried out using a confusion matrix, which showed that the model was able to properly classify 312 out of 333 Down Syndrome images and 309 out of 330 healthy children images, resulting in an overall accuracy of 94%. In addition, the precision, recall, and f1-score values ​​for both classes were in the range of 0.94, indicating a balanced and strong performance. Visual analysis of the misclassified images indicates that some misclassifications occur on healthy children’s faces with certain expressions, angles, or lighting conditions that resemble Down syndrome. Conversely, some children with Down syndrome are also predicted as healthy when their facial features are not too prominent or similar to normal children under certain lighting conditions. This shows that despite the high performance of the model, sensitivity to facial feature variations remains a challenge.
Artificial Intelligence in Politics: Opportunities and Challenges for Digital Democracy Pirdaus, Dede Irman; Surya, Dhika
International Journal of Humanities, Law, and Politics Vol. 3 No. 2 (2025): 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.v3i2.217

Abstract

The development of artificial intelligence (AI) in the last two decades has significantly changed the face of democratic politics. AI is used in political campaigns, policy-making, and interactions between governments and citizens. For example, the launch of an AI tool called Nostrada in the UK that allows the public to interact with digital avatars of members of parliament, and the use of AI in the 2024 US election campaign to personalize messages and raise funds. However, the use of AI also poses major risks, such as the spread of disinformation through deepfakes and social media bots, and the amplification of algorithmic bias that can harm certain groups. AI systems that operate as “black boxes” pose challenges to transparency and accountability in political decision-making, thereby reducing public trust. Several countries, especially the European Union, have begun to implement regulations to prevent the misuse of AI, such as transparency obligations and deepfake detection. In addition to regulations, digital literacy is key to strengthening critical public participation in digital content. This study uses a qualitative-descriptive approach with a literature review to analyze the benefits and risks of AI in politics. The results emphasize the need for cross-sector collaboration to develop ethical and transparent policies so that AI strengthens digital democracy, not weakens it. This study highlights the importance of balancing technological innovation and protecting democratic values ​​in the face of an increasingly complex digital era.
Media and Internet Linguistics: Language Transformation in Digital Communication Pirdaus, Dede Irman; Vera
International Journal of Linguistics, Communication, and Broadcasting Vol. 3 No. 2 (2025): 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.v3i2.226

Abstract

This study examines the transformation of language form and function in digital communication, focusing on platforms such as Twitter, TikTok, Instagram, Reddit, and Kaskus. Through a qualitative-descriptive approach and multimodal analysis of 2,000 digital entries, it was found that digital communication forms a new language genre that is hybrid, visual, and performative. Phenomena such as code-mixing, acronyms, phonetic spelling, and the use of emoticons and memes reflect linguistic adaptations to the speed, efficiency, and emotional expression that characterize digital platforms. The findings show linguistic variation between generations: Gen Z tends to use visual symbols and concise language, while older generations (Millennials and Gen X) maintain a more formal sentence structure. Data visualization using NVivo and Voyant Tools strengthens the identification of dominant themes such as emotion, irony, and community slang. These findings support previous literature, such as Barrot (2022) and Kurmanbekova et al. (2023), which highlight the simplification and diversification of language in the digital era. This study confirms that social media is not only a space for linguistic expression, but also an arena for innovation, the spread of digital dialects, and shifts in communication norms. While bringing creativity and cultural engagement, these changes also raise concerns about the decline in formal literacy skills. Therefore, this study recommends further exploration of the long-term impact of digital language use on literacy education and culture.
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

Abstract

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.