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The safety and protection of children in the digital age require innovative approaches involving both science and technology. This paper examines how technological advancements, such as online monitoring systems, AI-driven safety tools, and data protection measures, are helping to safeguard children from online threats and harm. The study discusses current trends and the potential for further innovation in child safety, focusing on both the risks and benefits of these technologies in creating safer environments for children.  

Science and technology have the potential to provide innovative solutions to global sustainability challenges, including climate change, resource depletion, and public health issues. This paper explores the role of scientific innovation in achieving sustainable development goals (SDGs), focusing on renewable energy technologies, waste management innovations, and sustainable agriculture practices. The study highlights successful global case studies where science and technology have been used to address pressing environmental and social issues.

With the rise of digital technology, early childhood education is experiencing a significant transformation. This paper explores how technology tools such as interactive apps, e-learning platforms, and digital toys can enhance learning experiences in young children. The study assesses both the benefits and challenges of incorporating technology in early education, focusing on cognitive development, social skills, and creativity. The findings highlight that, when used appropriately, technology can support children's learning while fostering their curiosity and engagement.

Mental health issues among children are increasingly being recognized as critical areas of concern. This paper explores how innovations in technology, such as digital therapy apps, virtual reality, and AI-based support systems, are revolutionizing mental health treatment for children. The study evaluates the effectiveness of these technologies in providing accessible, personalized, and stigma-free mental health support, with a focus on early intervention and long-term care.

Pediatric healthcare is continuously evolving with advancements in technology and treatment methodologies. This paper examines recent innovations in pediatric care, focusing on digital health tools, telemedicine, and personalized medicine for children. Through literature review and case studies, the paper discusses the impact of these innovations on diagnosis, treatment, and the overall healthcare experience for children. The study emphasizes the need for continuous research and development to improve health outcomes for the pediatric population.

Artificial intelligence (AI) has shown great potential in revolutionizing the healthcare sector by enhancing diagnosis accuracy and optimizing treatment plans. This paper investigates the application of AI technologies in healthcare, focusing on machine learning algorithms, natural language processing, and predictive analytics. The study evaluates several case studies where AI has been implemented to assist in early disease detection, personalized treatment, and patient management. Results suggest that AI integration leads to improved healthcare outcomes and efficiency, transforming patient care practices.

With the rise of digital technology, early childhood education is experiencing a significant transformation. This paper explores how technology tools such as interactive apps, e-learning platforms, and digital toys can enhance learning experiences in young children. The study assesses both the benefits and challenges of incorporating technology in early education, focusing on cognitive development, social skills, and creativity. The findings highlight that, when used appropriately, technology can support children's learning while fostering their curiosity and engagement.

Artificial intelligence (AI) has shown great potential in revolutionizing the healthcare sector by enhancing diagnosis accuracy and optimizing treatment plans. This paper investigates the application of AI technologies in healthcare, focusing on machine learning algorithms, natural language processing, and predictive analytics. The study evaluates several case studies where AI has been implemented to assist in early disease detection, personalized treatment, and patient management. Results suggest that AI integration leads to improved healthcare outcomes and efficiency, transforming patient care practices.

Pediatric healthcare is continuously evolving with advancements in technology and treatment methodologies. This paper examines recent innovations in pediatric care, focusing on digital health tools, telemedicine, and personalized medicine for children. Through literature review and case studies, the paper discusses the impact of these innovations on diagnosis, treatment, and the overall healthcare experience for children. The study emphasizes the need for continuous research and development to improve health outcomes for the pediatric population.

Mental health issues among children are increasingly being recognized as critical areas of concern. This paper explores how innovations in technology, such as digital therapy apps, virtual reality, and AI-based support systems, are revolutionizing mental health treatment for children. The study evaluates the effectiveness of these technologies in providing accessible, personalized, and stigma-free mental health support, with a focus on early intervention and long-term care.

The safety and protection of children in the digital age require innovative approaches involving both science and technology. This paper examines how technological advancements, such as online monitoring systems, AI-driven safety tools, and data protection measures, are helping to safeguard children from online threats and harm. The study discusses current trends and the potential for further innovation in child safety, focusing on both the risks and benefits of these technologies in creating safer environments for children.  

Science and technology have the potential to provide innovative solutions to global sustainability challenges, including climate change, resource depletion, and public health issues. This paper explores the role of scientific innovation in achieving sustainable development goals (SDGs), focusing on renewable energy technologies, waste management innovations, and sustainable agriculture practices. The study highlights successful global case studies where science and technology have been used to address pressing environmental and social issues.

Writing stories can start when students are in elementary school. Through story writing activities students can express their feelings, ideas, and ideas to others. Based on the results of interviews and observations conducted on January 20, 2021, the 5th grade homeroom teacher of SDN 5 Sudimoroharjosiswa felt bored in online learning during the pandemic. This can be seen from the students' writings that do not match the information. The writing of stories that do not match this information can be seen from one of the students who did not write down sports activities where there are pictures of people who are exercising. This study aims to determine the ability of students to present information in the form of stories through interactive image media based on thinglinks for grade 5 students at SDN 5 Sudimoroharjo, Nganjuk Regency. Based on the results of research on the use of interactive image media based on thinglink in Indonesian language learning, the material for retelling the sequence of events in fictional texts according to the background of the story has been carried out, it can be concluded that: (1) The implementation of learning using interactive image media based on thinglink is carried out according to the steps of learning activities which uses the project based learning model very well so as to increase the activities of teachers and students. This is evidenced by the increased activity of teachers and students in cycle I to cycle II. The average percentage of teacher activity in the first cycle is 82.85% with good criteria increasing to 10.01% to 92.86% with very good criteria in the second cycle. While the average student activity from the first cycle is 77, 86% with sufficient criteria increased to 11.43% to 89.29% with good criteria in cycle II. (2) The application of learning using interactive image media based on thinglinks can improve the ability of V SDN 5 Sudimoroharjo students, Nganjuk Regency, in retelling the sequence of events in fictional texts according to the background of the story. This is evidenced by the increase in student learning outcomes when in the skill aspect with the average value in the first cycle of 74 increasing to 89.5 in the second cycle. In addition, the percentage of student learning completeness also increased starting in the first cycle, namely 60.71% with less criteria, increasing by 39.29% to 100% with very good criteria in the second cycle. For teachers, it is recommended that if doing learning using interactive image media based on thinglinks, they should do a trial before being used by students.  

Writing stories can start when students are in elementary school. Through story writing activities students can express their feelings, ideas, and ideas to others. Based on the results of interviews and observations conducted on January 20, 2021, the 5th grade homeroom teacher of SDN 5 Sudimoroharjosiswa felt bored in online learning during the pandemic. This can be seen from the students' writings that do not match the information. The writing of stories that do not match this information can be seen from one of the students who did not write down sports activities where there are pictures of people who are exercising. This study aims to determine the ability of students to present information in the form of stories through interactive image media based on thinglinks for grade 5 students at SDN 5 Sudimoroharjo, Nganjuk Regency. Based on the results of research on the use of interactive image media based on thinglink in Indonesian language learning, the material for retelling the sequence of events in fictional texts according to the background of the story has been carried out, it can be concluded that: (1) The implementation of learning using interactive image media based on thinglink is carried out according to the steps of learning activities which uses the project based learning model very well so as to increase the activities of teachers and students. This is evidenced by the increased activity of teachers and students in cycle I to cycle II. The average percentage of teacher activity in the first cycle is 82.85% with good criteria increasing to 10.01% to 92.86% with very good criteria in the second cycle. While the average student activity from the first cycle is 77, 86% with sufficient criteria increased to 11.43% to 89.29% with good criteria in cycle II. (2) The application of learning using interactive image media based on thinglinks can improve the ability of V SDN 5 Sudimoroharjo students, Nganjuk Regency, in retelling the sequence of events in fictional texts according to the background of the story. This is evidenced by the increase in student learning outcomes when in the skill aspect with the average value in the first cycle of 74 increasing to 89.5 in the second cycle. In addition, the percentage of student learning completeness also increased starting in the first cycle, namely 60.71% with less criteria, increasing by 39.29% to 100% with very good criteria in the second cycle. For teachers, it is recommended that if doing learning using interactive image media based on thinglinks, they should do a trial before being used by students.  

The COVID-19 pandemic is becoming an international threat. In order to overcome this, the Indonesian government has implemented a social distancing policy. However, the realization of the policies that exist to date has not run uniformly in relation to social distancing and social assistance that has not been received directly by the community. Therefore it is necessary to control the implementation process of policies that have been issued by the Government. This research is a normative legal research and empirical law with a normative juridical approach. The data obtained in this research is in the form of literature study and interviews. The data that has been collected is then presented in the form of descriptions which are arranged systematically following the flow of systematic discussion.

Plants are constantly exposure to pathogens such as virus, bacteria and fungi. Plant diseases caused by pathogens lead significant crop yield loss globally. Numerous researchers have been studying how to reduce the damage of plant diseases. Plant disease has long been one of the major threats to agriculture security in India because it dramatically reduces the crop yield and compromises its quality. Pests and Diseases results in the destruction of crops or part of the plant resulting in decreased food production leading to food insecurity. Accurate and precise diagnosis of diseases has been a significant challenge. Traditionally, identification of plant diseases has relied on human annotation by visual inspection. Plant diseases affect the growth of their respective species; therefore their early identification is very important. Modern technological approaches such as machine learning and deep learning algorithm have been employed to increase the recognition rate and the accuracy of the results. Various researches have taken place under the field of machine learning for plant disease detection and diagnosis, such traditional machine learning approach being random forest, artificial neural network, support vector machine(SVM), fuzzy logic, K-means method, Convolutional neural networks etc. In this paper a comparative study on machine learning techniques for plant disease detection is performed. In this survey it observed that Convolutional Neural Network gives high accuracy and detects more number of diseases of multiple crops.

Employees are essential to the attainment of an organization's objectives, vision, and mission. Employees are essential to a business, hence the corporation must prioritize their requirements. Several issues arose. The employees' performance deteriorated because of insufficient remuneration. Several individuals did not fulfill their responsibilities punctually, leading to a reduction in their job output. The corporation offered incentives to improve their job performance. This research will investigate the correlation between incentives and employee work performance. The author will utilize all of them as a sample for this investigation. This procedure is termed census sampling. The study substantiates the efficacy of Variable X (incentive) and Variable Y (workers' job performance). The reliability test further validates the results' dependability. The correlation coefficient is 0.73. This indicates a robust correlation between incentives and employee work performance. The hypothesis test produced a score of 4.53, demonstrating that the tcount surpasses the ttable (2.101). Consequently, we may exclude the null hypothesis (H0), which posits that no correlation exists between incentives and employees' job performance. This indicates a substantial correlation between the incentive (variable X) and workers' job performance (variable Y). This research shows that a correlation exists between incentives and workers' job performance. The incentive was a contributing factor to the enhancement of employee performance, while other elements, such as working environment, also had a role.

Plants are constantly exposure to pathogens such as virus, bacteria and fungi. Plant diseases caused by pathogens lead significant crop yield loss globally. Numerous researchers have been studying how to reduce the damage of plant diseases. Plant disease has long been one of the major threats to agriculture security in India because it dramatically reduces the crop yield and compromises its quality. Pests and Diseases results in the destruction of crops or part of the plant resulting in decreased food production leading to food insecurity. Accurate and precise diagnosis of diseases has been a significant challenge. Traditionally, identification of plant diseases has relied on human annotation by visual inspection. Plant diseases affect the growth of their respective species; therefore their early identification is very important. Modern technological approaches such as machine learning and deep learning algorithm have been employed to increase the recognition rate and the accuracy of the results. Various researches have taken place under the field of machine learning for plant disease detection and diagnosis, such traditional machine learning approach being random forest, artificial neural network, support vector machine(SVM), fuzzy logic, K-means method, Convolutional neural networks etc. In this paper a comparative study on machine learning techniques for plant disease detection is performed. In this survey it observed that Convolutional Neural Network gives high accuracy and detects more number of diseases of multiple crops.

The COVID-19 pandemic is becoming an international threat. In order to overcome this, the Indonesian government has implemented a social distancing policy. However, the realization of the policies that exist to date has not run uniformly in relation to social distancing and social assistance that has not been received directly by the community. Therefore it is necessary to control the implementation process of policies that have been issued by the Government. This research is a normative legal research and empirical law with a normative juridical approach. The data obtained in this research is in the form of literature study and interviews. The data that has been collected is then presented in the form of descriptions which are arranged systematically following the flow of systematic discussion.

The COVID-19 pandemic has had an unfavorable impact on all aspects of life, including aspects of health, economy, tourism, social and education. Students can also use learning support applications such as study houses, teacher rooms, thinglink, netboard, oodlu, quizwhizzer and other applications. In fact, not all students will be successful in online learning. This research aims to improve speaking skills through the application of online-based interactive picture media to 5th graders at SD Negeri 2 Blitaran, Nganjuk Regency. This research is a classroom action research with the research design determined are planning, implementation, observation and reflection. There are two data obtained, namely process data and result data. Process data obtained from teacher activity data and student activities in applying online-based interactive image media. Result data obtained from student learning outcomes data in the form of students' speaking skill scores through the application of online-based interactive image media. The research subjects were 31 fifth grade students at SD Negeri 2 Blitaran, Nganjuk Regency, for the 2020/2021 academic year. The results showed that the teacher's activities continued to increase starting from the pre-action cycle II. In the pre-action, the average score of students was only 63.1 with a very poor category. After taking action in cycle 1 at meeting 1, the average score of students increased to 80%. The percentage of 80% indicates that there are still activities that have not been carried out at meeting 1. The action is continued in the second friendship, where the ability of students has reached 87%. With this percentage, improvements need to be made in cycle II. The teacher must review the steps in the lesson plans that have been prepared so that learning can run according to the plan. In Cycle II meeting 1, the percentage of success was 92.8%. The thing that must be maintained in cycle II is that the teacher carries out learning according to the steps that have been planned and provides explanations to students regarding important things that must be considered when retelling a reading. The action was continued in Cycle II meeting 2 where the student success achieved reached 95.7%. This happens because the teacher carries out learning in accordance with the planned RPP based on the results of the cycle reflection. Teachers should emphasize