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Legal protection of children refers to all actions that ensure and safeguard children and their rights so that they can live, grow, develop, and engage maximally in line with human dignity and honour, as well as get protection from violence and discrimination within legal laws. In Indonesia, the proportion ranges from 22 to 100%, indicating that the aforementioned conditions occur often. As a result, researchers are interested in performing this study utilising normative research methodologies. Legal protection for minors who distribute pornographic videos on social media, choosing to release minors, is regulated by Law No. 23 of 2002 concerning Child Protection, Article 16 (1) Every child has the right to receive protection from being the target of abuse, torture, or inhumane punishment, (2) Every child has the right to obtain freedom in accordance with the law, and (3) Arrest, detention, or incarceration of a child must be carried out in accordance with relevant legislation and only as a last option. And advocate LPKA in the form of independence coaching, which includes instruction for foster children in skills that may be developed after the foster time ends, such as sewing. Meanwhile, personality development is moral development, with the goal of providing foster children with an understanding of social norms as well as an understanding of themselves so that they can accept responsibility for all actions they take and refrain from repeating illegal actions. Suggestions in this protection are expected to be safeguarded by anybody, regardless of circumstance, and the local government needs to get to the field to inspect the status of special child development institutions so that any deficiencies may be corrected quickly, allowing development to proceed correctly.

In the dynamic landscape of Human Resource Management (HRM), the emergence of Artificial Intelligence (AI) technologies presents both challenges and opportunities. This research aims to explore strategies for empowering talent amidst AI innovations in HRM. The research adopts a phenomenological approach to delve into the lived experiences of HR professionals and employees within organizations integrating AI technologies. Through purposive sampling, data were collected via in-depth interviews and focus group discussions. Thematic analysis was employed to identify patterns, themes, and insights from the narratives. The findings reveal a nuanced understanding of how AI impacts talent management practices, including recruitment, training, performance evaluation, and career development. Moreover, the research elucidates the importance of human-centric approaches in leveraging AI to augment rather than replace human capabilities. These insights contribute to enhancing organizational strategies for talent empowerment in the era of AI-driven HRM innovations.

In the rapidly evolving landscape of artificial intelligence (AI), optimizing human resources (HR) practices is imperative to foster organizational excellence. This qualitative research aims to explore the intersection of AI and HR practices to enhance organizational performance. The research adopts a qualitative approach utilizing in-depth interviews with HR professionals, AI specialists, and organizational leaders. Sampling techniques include purposive and snowball sampling to ensure diverse perspectives are captured. Data analysis involves thematic analysis, allowing for the identification of patterns and themes within the qualitative data. Preliminary findings indicate that organizations are increasingly leveraging AI to streamline HR processes, enhance talent acquisition, and improve employee engagement. Furthermore, the research reveals the significance of ethical considerations and human oversight in AI-driven HR practices. This study contributes to the growing discourse on AI integration in HR and provides insights for organizations aiming to navigate the AI-driven landscape while fostering excellence in HR practices.  

Inflation is closely related to unemployment and the economic performance of a country. The relationship between the inflation rate and unemployment affects decisions to be taken in financial policy. The purpose of this article is to analyze government policies in Batam City regarding the threat of unemployment in inflation in 2018-2020. The method we use is library research. From the results of our analysis, we find that the highest unemployment rate is in 2020 at 11.79% . And the movement of inflation has increased and decreased. We also analyze the policies that can be taken by the Batam city government in overcoming this problem.  

Pemanfaatan media pemberlajaran memiliki pengaruh yang besar terhadap kemauan para siswa dan siswi dalam belajar. Powtoon merupakan aplikasi web yang bisa dibuka siapa saja, aplikasi ini bisa digunakan untuk membuat media pembelajaran dikarenakan didalamnya banyak fitur-fitur yang yang membantu dalam membuat media pembelajaran seperti fitur animasi dan lainnya yang bisa di gunakan dengan mudah. Pemasalahan yang muncul adalah apakah media pembelajaran berbasis web ini dapat meningkatkan motivasi belajar siswa pada mata pelajaran Informatika kelas VII pada SMP Negeri 2 Bukittinggi. Metode penelitian yang digunakan pada penelitian ini adalah metode penelitian kuantitatif dengan pendekatan deskriptif. Dan berdasarkan penetitian dengan cara menyebar angket penelitian yang dilakukan menunjukkan bahwa pemanfaatan media pembelajaran dengan menggunakan powtoon dapat meningkatkan motivasi belajar siswa.  

Tujuan yang diharapkan dari hasil penelitian ini adalah untuk mengetahui peningkatan hasil belajar siswa setelah diterapkannya model pembelajaran menggunakan kelompok belajar di MTsN 7 Agam. Hipotesis tindakan dalam penelitian ini yaitu ada peningkatan hasil belajar siswa setelah diterapkannya model pembelajaran menggunakan kelompok belajar di MTsN 7 Agam. Variabel dalam penelitian ini adalah peningkatan hasil belajar siswa setelah diberikannya tindakan melalui model pembelajaran menggunakan kelompok belajar. Subjek dalam penelitian ini adalah siswa kelas VII.3 yang terdiri dari 12 orang laki-laki 19 orang perempuan. Metode yang digunakan dalam penelitian ini adalah metode Penelitian Tindakan Kelas (PTK). Teknik pengumpulan data yang digunakan pada penelitian ini adalah tes. Berdasarkan hasil penelitian dan pembahasan dapat disimpulkan bahwa ada peningkatan hasil belajar siswa setelah diterapkannya model pembelajaran menggunakan kelompok belajar di MTsN 7 Agam, hal ini terbukti dari tingkat ketuntasan belajar siswa maka siklus 1 (71%) < Siklus 2 (84%), maka peningkatan ini terlihat bahwa peningkatan dari siklus pertama sebesar 13%.

Family support is assistance that can be given to other families in the form of goods, services, information, and advice which makes the recipient of support feel loved and appreciated. In this case, family support will bring a sense of joy, security, satisfaction, and comfort that makes pregnant women feel emotionally supported which will affect their mental well-being. Objective: This study aims to determine the relationship between family support and anxiety in Primigravida pregnant women in the third trimester in the work area of  the Simeulue Tengah Health Center UPTD, Simeulue Regency. Method: This research method is an analytical survey with a cross-sectional approach with a sample size of 36 respondents using the total sampling technique. The study began on December 16-20, 2022. Results: Family support is in the sufficient category with 16 respondents (44.4%) and the level of anxiety in Primigravida pregnant women in the third trimester is in the moderate and severe categories, each with 12 respondents (33.3%). Conclusion: Based on the results of the study, it was found that there was a relationship between family support and anxiety levels in Primigravida pregnant women in the third trimester at the UPTD Simeulue Tengah Health Center, Simeulue Regency with a p-value = 0.043. Suggestion: It is hoped that medical personnel at the Health Center can provide counseling to families who have pregnant women.

Berikut suatu data dari kementerian koperasi maupun UMKM pada tahun 2014, terdapat sebanyak 57,8 jt pelaku UMKM di indonesia pada tahun 2017. Diperkirakan beberapa tahun kedepan jumlah pelaku UMKM akan terus bertambah dan UMKM memiliki peran serta strategis dalam perkembangan ekonomi nasional. UMKM juga berperan sebagai  distribusi hasil dan sejauh ini telah berkontribusi sekitar 57,60% produk domestic bruto (PDB) serta memiliki tingkat penyerapan tenaga kerja sebanyak 97% dari seluruh tenaga kerja nasional ( profil bisnis UMKM oleh LPPI dan BI, 2015). Dari data yang tercantum pad badan puasat statistic menunjukkan bahwa setelah krisis ekonomi tahun 1997-1998 jumlah UMKM tidak berkurang, UMKM bertambah, bahkan menyerap 85jt hingga 107jt pekerja hingga tahun2012. Dari jumlah tersebut UMKM menduduki jumlah sebanyak 99,99%, selebihnya sekitar 0,01% atau 4.968 unit ialah pengusaha besar. Contohnya dari kebijakan UMKM dipemerintah kabupaten blora terkait dengan peran UMKM terhadap pembangunan, secara khususnya dikabupaten blora sendiri. Banyak Langkah dan proses yang harus dilewati agar mencapai tujuan tersebut, sehingga dibutuhkan keseriusan antara pihak terkait maupun Kerjasama antar daerah. Bentuk nyata populisme ekonomi merupakan dalam suatu bentuk dukungan kepada UMKM, sehingga produksi UMKM tidak hanya dipasarkan dipasar local namun merambah kepasar yang lebih luas. Selain itu jika terdukung menggunakan informasi teknologi, pemasaran produk tidak lagi terhambat oleh waktu maupun tempat. Kata Kunci : , , 

PT Ungaran Sari Garment is one of the Largest Export Oriented Apparel Company in Indonesia, operating world-class factories in various locations in Java supported by 11,000 skilled and professional workers. Ungaran Sari Garments' production capacity can handle 1.7 million dozen garments per year and still with great potential for expansion. In 2022 to 2024 experienced an increase and decrease in Actual Performance Production. Production Performance data at PT Ungaran Sari Garment for the last 3 years has experienced, indicates that there is a decrease in employee performance at PT Ungaran Sari Garment.

Emerging technologies play a crucial role in transforming education by fostering inclusivity and equity. This study explores how artificial intelligence, virtual reality, and adaptive learning platforms contribute to overcoming traditional barriers to education. The research adopts a qualitative approach, analyzing case studies and recent advancements in educational technology. Findings reveal that these technologies enhance accessibility for students with disabilities, provide personalized learning experiences, and bridge educational gaps in underprivileged regions. The study highlights the importance of policy support and infrastructure development to maximize the benefits of technological integration in education. The implications suggest that adopting emerging technologies can create a more inclusive and equitable learning environment, ensuring education for all.

The increasing use of social media among students has raised concerns regarding its impact on academic performance and digital well-being. This study aims to examine the relationship between social media usage, student learning outcomes, and overall well-being in a digital environment. Using a mixed-methods approach, data were collected through surveys and in-depth interviews with high school and university students. The findings indicate that while social media can serve as a valuable tool for academic collaboration and resource-sharing, excessive and unregulated usage often leads to distractions, reduced academic performance, and negative effects on mental health. The study highlights the need for balanced social media engagement and the implementation of digital literacy programs to promote responsible usage. These insights contribute to the ongoing discussion on digital well-being and offer practical recommendations for students, educators, and policymakers.  

The integration of Artificial Intelligence (AI) in education presents both challenges and opportunities for 21st-century learning. This study explores the transformative potential of AI in enhancing personalized learning, adaptive assessments, and intelligent tutoring systems. The research aims to identify the key barriers to AI adoption in educational settings, including ethical concerns, data privacy, and technological infrastructure. Utilizing a qualitative approach, data were collected through literature reviews and expert interviews. The findings indicate that while AI can significantly improve learning outcomes and administrative efficiency, its implementation requires strategic planning, teacher training, and regulatory frameworks. This study highlights the importance of balancing AI-driven innovation with ethical considerations to maximize its benefits in education.

This research to analyze the contribution of variables from three economic policies, with monetary policy through interest rate variables, exchange rates, and money supply in facing economic recession. Where the fiscal policy variable is through tax value. Then macroprudential policy through Non Performing Loan and Capital Adequacy Ratio variables. This study uses secondary data or time series, namely from December 2019 to February 2021. The data analysis model in this study is the Vector Autoregression (VAR) model which is seen from being sharpened with Impulse Response Function (IRF) analysis and Forecast Error Variance Decomposition (FEVD), Panel ARDL, and Different Tests. The results of the IRF analysis show that the stability of the response of all variables is formed in period 8 or the medium and long term, where the response of other variables to changes in one variable shows different variations, both from positive responses to negative responses or vice versa, and there are variables whose responses remain positive or remain negative from the short term to the long term. The results of the FEVD analysis show that for the short-term inflation variable it is influenced by inflation itself and in the medium and long term it is influenced by interest rates. For the JUB variable in the short term it is influenced by JUB itself and in the medium and long term it is influenced by NPL. For the interest rate variable in the short term it is influenced by JUB while in the medium and long term it is influenced by the exchange rate itself and CAR. For the tax variable in the short, medium and long term it is influenced by the tax itself and JUB. For the NPL variable in the short, medium and long term it is influenced by JUB and tax. For the CAR variable in the short, medium and long term it is influenced by JUB and tax. Then the results of the ARDL Panel analysis show that the country that is able to become a leading indicator in controlling the economic recession in the Four of The Group Twenty, namely Turkey, is only done by interest rates. While South Africa is done by interest rates, taxes, NPL, and CAR. For Russia, it is done by all variables, namely the amount of money in circulation, interest rates, exchange rates, taxes, NPL, and CAR. Meanwhile, Indonesia is carried out by exchange rates, taxes, NPL and CAR.

This revitalization is carried out by reorganizing the function of space, and cultural values, and strengthening information about cultural heritage, as stated in Law Number 11 of 2010 concerning cultural heritage in article 80 paragraphs (1) and (2). Following the principle of development in general, revitalization must provide benefits to improve the quality of life of the community. This revitalization feasibility study uses primary data and secondary data. The results of the feasibility study on the revitalization of Merdeka Field Medan are the condition of the existing facilities and infrastructure of Merdeka Field, many of which are damaged or no longer functioning. There are even landfills in several corners of the Merdeka Square area. The drainage channels of the area are also not well integrated into the city's drainage system. And based on the problem of existing infrastructure, the Merdeka Square revitalization plan is very feasible to do.    

Smart wearable technologies are becoming essential tools for real-time health monitoring, offering a new dimension of personalized medicine. Wearable devices equipped with biosensors, artificial intelligence, and Internet of Things (IoT) connectivity can continuously track vital signs such as heart rate, blood pressure, oxygen levels, and even detect early symptoms of diseases. This paper explores the latest advancements in wearable health technology, including flexible electronics, energy-efficient data processing, and integration with telemedicine platforms. Additionally, ethical concerns such as data privacy, cybersecurity risks, and user adoption challenges are discussed. The study provides insights into how smart wearables can be effectively utilized for preventive healthcare, chronic disease management, and real-time health diagnostics.

The advancement of Autonomous Underwater Vehicles (AUVs) is transforming the way scientists conduct deep-sea exploration and environmental monitoring. AUVs equipped with sophisticated sonar, AI-driven navigation systems, and real-time data transmission capabilities can explore extreme marine environments where human intervention is impossible. This paper reviews state-of-the-art developments in AUV technology, including enhanced battery efficiency, swarm intelligence for coordinated underwater missions, and AI-based anomaly detection for marine biodiversity assessment. Additionally, the study highlights the role of AUVs in disaster response, such as oil spill detection and ocean pollution analysis. By addressing technical challenges such as communication latency, data processing in harsh environments, and energy efficiency, this research aims to contribute to the next generation of AUV applications.

One of the stunting locations in East Tanjung Jabung Regency is located in Geragai Sub-district, Pandan Lagan Village. According to data from the Puskesmas in 2019, the incidence of stunting in Pandan Lagan Village was 35 toddlers, in 2020 it was 17 stunting children out of a total of 70 children in Pandan Lagan Village. The purpose of this study was to determine the relationship between maternal nutritional status, history of maternal conditions, and maternal knowledge about 1000 HPK with the incidence of stunting in Pandan Lagan Village. This type of research is quantitative research, using a cross-sectional approach. The number of samples to be studied with the Lemeshow Formula is 45 respondents. The dependent variable is stunting and the independent variables are maternal nutritional status (pre-pregnant maternal BMI and weight gain during pregnancy), history of maternal conditions (maternal age during pregnancy, birth spacing), and maternal knowledge about 1000 HPK. The research instrument used a questionnaire sheet, then the data was processed through data editing, data coding, data entry, data cleaning, and data processing, then analyzed univariate, bivariate with a chi-square test, and multivariate with multiple logistic regression test. Based on the results of the study, there is a relationship between pre-pregnancy maternal BMI with a risk of 4,464 times, weight gain with a risk of 3,75 times, maternal age during pregnancy with a risk of 3,0 times, and spacing of babies with a risk of 2,444 times with the incidence of stunting. There is no relationship between maternal knowledge about 1000 HPK and the incidence of stunting with a p-value = 0,114, and it is known that the pre-pregnancy mother's BMI variable is the variable that has the greatest influence on infants with stunting nutritional status (odds ratio = 15,943). For this reason, it is expected to be more intensive in educating couples of childbearing age, pre-pregnant mothers, or early on to adolescent girls to pay attention to factors that affect stunted children, especially to have an ideal BMI so that it will reduce the risk of having children with stunted nutritional status.    

Literasi digital di era society 5.0 sangatlah penting bagi masyarakat, dimana rancangan ini akan menjadi bagian utama dalam penerapan atau pemanfaatan teknologi digital. Pemanfaatan literasi digital ini juga sangat berperan penting dalam  pengetahuan dan keterampilan untuk menghadapi problematika literasi digital di era society 5.0 .Penelitian ini adalah jenis penelitian studi pustaka dengan mengunakan data sekunder yang berasal dari artikel jurnal nasional yang sesuai dengan topik penelitian. Hasil penelitian ini menunjukkan bahwa ada tiga strategi literasi digital yang harus dilakukan oleh masyarakat dalam menghadapi era society 5.0 yaitu 1). Berpikir kritis 2). Pemanfaatan teknologi informasi 3). Memahami digital culture.    

Penelitian ini bertujuan untuk mendeskripsikan gaya bahasa dan menjelaskan mengenai makna yang ada di dalam lirik lagu “takut” dalam album semoga sembuh.Yang dinyanyikan oleh Idgitaf dengan menggunakan metode studi pustaka. Dalam penelitian ini menghasilkan sebuah makna dalam lirik lagu yang berisikan berbagai ketakutan dalam fase dewasa. Dalam lagu “takut” juga terdapat gaya bahasa penegasan. Selain itu, periset tertarik untuk mengenali majas apa yang terkandung dalam lirik lagu itu,karena dalam lirik lagu ini memiliki makna dan harapan yang mau di informasikan secara langsung dan tidak langsung. Setelah itu tata cara yang digunakan dalam riset ini merupakan tata cara deskriptif kualitatif ialah suatu  tata cara dengan metode menganalisis informasi serta hasil informasinya setelah itu di proses ke dalam wujud teks deskripsi. Subjek yang di analisis berbentuk lirik lagu bertajuk “Takut”. Hasil analisis lirik lagu ini menunjukkan adanya majas personafikasi, majas retorika, majas paradoks. Makna dan arti yang terkandung dalam lirik lagu “Takut” adalah cerita seseorang yang piawai menyembunyikan luka meski sering terlihat tertawa.

Bahasa adalah alat yang digunakan orang setiap hari untuk mengekspresikan diri dan berkomunikasi dengan orang lain. Teknologi dan pengetahuan berkembang pesat sebagai akibat dari globalisasi. Salah satunya adalah internet, teknologi kompleks yang mencakup berbagai platform media sosial. Media sosial memiliki dampak karena berfungsi sebagai platform untuk komunikasi pendidikan dan memungkinkan pengguna untuk berbagi pengetahuan dan pemikiran satu sama lain. Di sisi lain, penggunaan dan penulisan bahasa Indonesia juga dapat dipengaruhi oleh media sosial. Pengguna media sosial memiliki kemampuan untuk menampilkan aktivitasnya, berbagi pemikiran, dan mengomunikasikan perasaannya.