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The digital revolution in global health presents great opportunities and challenges through the integration of artificial intelligence (AI), big data and telemedicine. However, the absence of a transcendent ethical foundation in the development of medical technology risks undermining human values and justice. This study aims to critically examine the direction of digital health development by integrating the ethical and spiritual values of the Qur'an. The method used is a critical qualitative approach based on library research, with normative analysis of verses related to health principles, information ethics, and maqāṣid al-syarī'ah. The results of the study show that in QS. Al-Isrā': 70 emphasizes human dignity as the basis for medical data protection; likewise in QS. Al-Syu'arā': 80 emphasizes that healing is divine and should not be separated from spiritual values; while in QS. Al-Baqarah: 286 provides guidance on the limits of responsibility and human capabilities in the utilization of technology. The critical discussion underlines the importance of building Qur'anic-based digital ethics that emphasize justice ('adālah), trustworthiness, and compassion (raḥmah) in designing equitable and inclusive artificial intelligence (AI) systems and remote health services. It is hoped that this study will provide recommendations for the development of Qur'anic Digital Ethics as a future normative framework for global digital health innovation.

The digital revolution in global health presents great opportunities and challenges through the integration of artificial intelligence (AI), big data and telemedicine. However, the absence of a transcendent ethical foundation in the development of medical technology risks undermining human values and justice. This study aims to critically examine the direction of digital health development by integrating the ethical and spiritual values of the Qur'an. The method used is a critical qualitative approach based on library research, with normative analysis of verses related to health principles, information ethics, and maqāṣid al-syarī'ah. The results of the study show that in QS. Al-Isrā': 70 emphasizes human dignity as the basis for medical data protection; likewise in QS. Al-Syu'arā': 80 emphasizes that healing is divine and should not be separated from spiritual values; while in QS. Al-Baqarah: 286 provides guidance on the limits of responsibility and human capabilities in the utilization of technology. The critical discussion underlines the importance of building Qur'anic-based digital ethics that emphasize justice ('adālah), trustworthiness, and compassion (raḥmah) in designing equitable and inclusive artificial intelligence (AI) systems and remote health services. It is hoped that this study will provide recommendations for the development of Qur'anic Digital Ethics as a future normative framework for global digital health innovation.

Attendance management is an essential component in educational institutions, companies, and organizations to monitor the presence and punctuality of participants. Traditional attendance systems, such as manual signatures or identification cards, are prone to various issues including human error, time inefficiency, and identity fraud. To address these challenges, this study aims to develop a smart attendance system using facial recognition technology based on Python and the OpenCV library. The system is designed to automatically detect and recognize faces in real time using a webcam or camera module. It employs computer vision techniques to capture facial images, extract unique features, and match them against a stored database of registered participants. Once the face is verified, the system records the attendance along with a timestamp, ensuring data accuracy and security. The development process involved several stages, including image acquisition, preprocessing, feature extraction, and classification. OpenCV was utilized for image processing tasks, while Python provided the programming framework to integrate all components. To enhance recognition accuracy, the system applied techniques such as histogram equalization for lighting normalization and Haar Cascade classifiers for initial face detection. An experimental evaluation was conducted under various conditions, including different lighting environments and facial orientations. The results demonstrated that the system achieved an accuracy rate of 96% under normal lighting conditions, with only a small decrease in performance under dim or uneven lighting. These findings indicate that the system is reliable for practical applications, especially in controlled environments. Conclusion: The Python-based facial recognition attendance system offers a more efficient, secure, and accurate alternative to conventional attendance methods. Future improvements may include the integration of deep learning models to enhance recognition robustness in diverse real-world scenarios.

Attendance management is an essential component in educational institutions, companies, and organizations to monitor the presence and punctuality of participants. Traditional attendance systems, such as manual signatures or identification cards, are prone to various issues including human error, time inefficiency, and identity fraud. To address these challenges, this study aims to develop a smart attendance system using facial recognition technology based on Python and the OpenCV library. The system is designed to automatically detect and recognize faces in real time using a webcam or camera module. It employs computer vision techniques to capture facial images, extract unique features, and match them against a stored database of registered participants. Once the face is verified, the system records the attendance along with a timestamp, ensuring data accuracy and security. The development process involved several stages, including image acquisition, preprocessing, feature extraction, and classification. OpenCV was utilized for image processing tasks, while Python provided the programming framework to integrate all components. To enhance recognition accuracy, the system applied techniques such as histogram equalization for lighting normalization and Haar Cascade classifiers for initial face detection. An experimental evaluation was conducted under various conditions, including different lighting environments and facial orientations. The results demonstrated that the system achieved an accuracy rate of 96% under normal lighting conditions, with only a small decrease in performance under dim or uneven lighting. These findings indicate that the system is reliable for practical applications, especially in controlled environments. Conclusion: The Python-based facial recognition attendance system offers a more efficient, secure, and accurate alternative to conventional attendance methods. Future improvements may include the integration of deep learning models to enhance recognition robustness in diverse real-world scenarios.

The reconstruction of the digital learning space for ealy childhood education an important role in learning the Indonesian. One of them in childhood literacy learning. Aside from being a source of learning for the learning community, childhood literacy is also the basis for childhood competing in the revolutionary 4.0 era, ranging from infrastructure development, expansion and learning performance which will become an asset of Indonesia. Simultaneous collaboration efforts with multi-effect players are needed to improve the public literacy index. One of the efforts is through the Reconstruction of digital library learning for early childhood education. The analysis technique in this research is the content analysis.

The reconstruction of the digital learning space for ealy childhood education an important role in learning the Indonesian. One of them in childhood literacy learning. Aside from being a source of learning for the learning community, childhood literacy is also the basis for childhood competing in the revolutionary 4.0 era, ranging from infrastructure development, expansion and learning performance which will become an asset of Indonesia. Simultaneous collaboration efforts with multi-effect players are needed to improve the public literacy index. One of the efforts is through the Reconstruction of digital library learning for early childhood education. The analysis technique in this research is the content analysis.

One of the important elements that must exist in a rule of law is the protection of human rights, where the inclusion of rights and human rights of citizens in the constitution brings consequences for the state to recognize, respect and respect and fulfill the rights of citizens, including in including the fulfillment of the basic rights of children. Children are a mandate and a gift from God Almighty, which is inherent within them of dignity as a whole human being. In line with the development of the times, which requires a transfer in all aspects of people's life, which can be done manually to completely digital or can be referred to as digitalization, which then with the Covid-19 pandemic that hit the world community became the biggest factor in the acceleration of digitalization where children Children in the compulsory education age category use social media as a learning medium which, if not closely supervised by parents, can raise concerns about child exploitation through social media, it is necessary to discuss in this study the forms of sexual violence that can occur against children. through social media, as well as forms of legal protection for child victims of sexual violence. The research method used in this research is juridical-normative legal research, with library material that includes primary legal materials, namely the 1945 Constitution, Law Number 39 of 1999 concerning Human Rights, and Law Number 35 of the Year. 2014 concerning Amendments to Law Number 23 of 2002 concerning Child Protection, then secondary legal materials which include previous legal research, legal books, scientific journals, and other legal materials, then finally tertiary legal materials covering Indonesian language , and an encyclopedia.

One of the important elements that must exist in a rule of law is the protection of human rights, where the inclusion of rights and human rights of citizens in the constitution brings consequences for the state to recognize, respect and respect and fulfill the rights of citizens, including in including the fulfillment of the basic rights of children. Children are a mandate and a gift from God Almighty, which is inherent within them of dignity as a whole human being. In line with the development of the times, which requires a transfer in all aspects of people's life, which can be done manually to completely digital or can be referred to as digitalization, which then with the Covid-19 pandemic that hit the world community became the biggest factor in the acceleration of digitalization where children Children in the compulsory education age category use social media as a learning medium which, if not closely supervised by parents, can raise concerns about child exploitation through social media, it is necessary to discuss in this study the forms of sexual violence that can occur against children. through social media, as well as forms of legal protection for child victims of sexual violence. The research method used in this research is juridical-normative legal research, with library material that includes primary legal materials, namely the 1945 Constitution, Law Number 39 of 1999 concerning Human Rights, and Law Number 35 of the Year. 2014 concerning Amendments to Law Number 23 of 2002 concerning Child Protection, then secondary legal materials which include previous legal research, legal books, scientific journals, and other legal materials, then finally tertiary legal materials covering Indonesian language , and an encyclopedia.

During this pandemic, most of people’s activities are carried out through digital media. Both learning and working processes are using the video-conference platform, a platform deemed effective to facilitate the needs of distance communication. One of the limitations of using video-conference lies in difficulty in understanding emotional conditions based on solely camera video. Hence, speakers generally do not know their interlocutors’ feelings related to the materials being presented. Grounded on this issue, we examined a facial expressions-based emotion recognition tool. Micro expression is one of the micro-languages of communication. Machine learning model developed in this study was Deep Learning with Convolutional Neural Network (CNN). The library that was used was Keras, this was used to recognize micro expression pattern. Additionally, OpenCV was also used for the general face recognition process. Both libraries were operated using Python programming language. The result of the micro expression test involving thirty participants detected three types of facial expression, namely joy, sadness, and anger expression. However, face recognition applied in the present study still needed some improvements, especially for anger and sadness expression. With regard to joy expression, 89% of the expression were recognized. Based on the recorded data, it is necessary to improve the recordings criteria to obtain a clearer expression.

During this pandemic, most of people’s activities are carried out through digital media. Both learning and working processes are using the video-conference platform, a platform deemed effective to facilitate the needs of distance communication. One of the limitations of using video-conference lies in difficulty in understanding emotional conditions based on solely camera video. Hence, speakers generally do not know their interlocutors’ feelings related to the materials being presented. Grounded on this issue, we examined a facial expressions-based emotion recognition tool. Micro expression is one of the micro-languages of communication. Machine learning model developed in this study was Deep Learning with Convolutional Neural Network (CNN). The library that was used was Keras, this was used to recognize micro expression pattern. Additionally, OpenCV was also used for the general face recognition process. Both libraries were operated using Python programming language. The result of the micro expression test involving thirty participants detected three types of facial expression, namely joy, sadness, and anger expression. However, face recognition applied in the present study still needed some improvements, especially for anger and sadness expression. With regard to joy expression, 89% of the expression were recognized. Based on the recorded data, it is necessary to improve the recordings criteria to obtain a clearer expression.

Tax is the main source of state financing in Indonesia. To facilitate the implementation of the task of collecting state money, the Directorate General of Taxes requires easy, cheap and efficient ways. One of the efficient, easy and cheap ways is also applied in the handling of tax crimes. Research in this paper is legal research that is precritative and applied. The source of the material used is the primary legal material and the secondary legal material, by means of the study of the library/document, techniques a interconnected legal analysis to be drawn conclusions . The purpose of this research is to find out other legal efforts that can be taken by taxpayers to resolve tax criminal violations ,without going through a trial in court.. In this paper, the author will review the case of PT VCI and outline the legal basis that can be used to make administrative settlements for similar cases that have not been decided by the Judiciary. The result of this research has been known, that the submission of cassation legal efforts by the public prosecutor has been granted by the Supreme Court and the Supreme Court has sentenced the Director of PT VCI, Jakarta to 2 years imprisonment and paid a fine of 3 times the state's losses.  

Tax is the main source of state financing in Indonesia. To facilitate the implementation of the task of collecting state money, the Directorate General of Taxes requires easy, cheap and efficient ways. One of the efficient, easy and cheap ways is also applied in the handling of tax crimes. Research in this paper is legal research that is precritative and applied. The source of the material used is the primary legal material and the secondary legal material, by means of the study of the library/document, techniques a interconnected legal analysis to be drawn conclusions . The purpose of this research is to find out other legal efforts that can be taken by taxpayers to resolve tax criminal violations ,without going through a trial in court.. In this paper, the author will review the case of PT VCI and outline the legal basis that can be used to make administrative settlements for similar cases that have not been decided by the Judiciary. The result of this research has been known, that the submission of cassation legal efforts by the public prosecutor has been granted by the Supreme Court and the Supreme Court has sentenced the Director of PT VCI, Jakarta to 2 years imprisonment and paid a fine of 3 times the state's losses.