Seiring dengan perkembangan zaman dan teknologi, masyarakat semakin bergantung pada media sosial, yang menyediakan berbagai fitur untuk mempermudah aktivitas, termasuk mencari hiburan. Salah satu aplikasi yang digunakan untuk mencari hiburan adalah Telegram, yang menyediakan banyak film ilegal yang disebarkan oleh oknum yang tidak bertanggung jawab. Hal ini menimbulkan kerugian bagi pencipta film, yang seharusnya memiliki hak moral dan hak ekonomi atas karyanya, sebagaimana diatur dalam Undang-Undang Hak Cipta (UUHC). Penelitian ini bertujuan untuk mengkaji apakah penyebaran film ilegal tersebut melanggar hak ekonomi menurut Pasal 9 (1) b UUHC dan dapat dikategorikan sebagai pembajakan berdasarkan Pasal 113 (4) UUHC. Selain itu, penelitian ini juga menganalisis mekanisme perlindungan hak cipta bagi pencipta film dan bentuk pertanggungjawaban pelaku penyebaran film bajakan dalam gugatan perdata maupun pidana, yang terjadi akibat kelalaian dalam memantau aktivitas pengguna sesuai dengan peraturan perundang-undangan. Hasil penelitian menunjukkan bahwa penyebaran film ilegal di Telegram melanggar hak ekonomi pencipta film dan dapat dikenakan sanksi sesuai UUHC. Perlindungan hukum terhadap hak cipta dapat dilakukan melalui upaya hukum yang mencakup gugatan perdata dan pidana terhadap pelanggar..

This study aims to find the relationship between prospective biology teachers' ethnicity and teaching skills to preserve indigenous knowledge in Indonesia. The research intervention integrates the Science Integrated Learning (SIL) model with NGSS dimensions in the teaching practices of prospective biology teachers. The method chosen was embedded experimental with a quasi-experimental design consisting of three stages: a qualitative stage before, a qualitative stage during, and a qualitative stage after the intervention. The research targets were 60 prospective science teachers in two different cluster universities, each with 30 prospective teachers. Interpretation of quantitative and qualitative data in the form of statistical test results. The analysis of the comparison test using the t-statistic model obtained a difference in the average score of microteaching practice of 0.3, with an average of the first practice of 2,613 with a standard deviation of 0.3024 and the second practice of 2,921 with a standard deviation of 0.3122. The second microteaching practice experienced an increase in scores from the first practice. The study concluded that prospective biology teachers' skills in preserving indigenous Indonesian traditional knowledge can be realized through the SIL Model integrated with NGSS.  The research results allow prospective teachers to utilize students' experiences as learning sources and hopefully can contribute on the development of prospective teacher education policies oriented toward preserving Indigenous knowledge in Indonesia.
 

The integration of Artificial Intelligence (AI) into judicial decision-making processes is reshaping the administration of justice, offering new possibilities for efficiency and consistency while raising critical concerns about fairness and judicial discretion. This research explores the use of AI to support judges in their decision-making processes, focusing on the balance between technological assistance and the human consideration of justice. Additionally, it examines the regulatory frameworks that enable and govern AI’s role in the judiciary. Employing a normative juridical research methodology and secondary data from literature reviews, this study finds that AI systems can only assist judges by providing recommendations rather than replacing their judgment. Algorithms and mathematical models cannot fully account for the complex, qualitative factors inherent in the pursuit of justice, such as moral considerations, empathy, and societal context. Currently, AI usage in judicial processes is not explicitly regulated; however, it may be justified under Article 1 Point 8 of Indonesia’s ITE Law, which recognizes electronic agents controlled by humans to achieve specified objectives. The research underscores that AI’s potential lies in its capacity to complement human judges by enhancing efficiency and reducing bias in routine tasks, while ultimate decision-making must remain a human responsibility. This study concludes that the responsible use of AI, guided by clear legal and ethical frameworks, can ensure that technological advancements in the judiciary uphold the principles of justice and human dignity.

The increasingly dynamic global financial landscape demands effective risk management strategies to ensure financial stability and institutional sustainability. Two critical approaches, risk financing transfers and risk retention, offer complementary solutions. Risk financing transfers allow institutions to redistribute financial risks to third parties through mechanisms such as securitization and Credit Risk Transfers (CRTs), improving market efficiency. In contrast, risk retention emphasizes accountability by require institutions to retain a portion of the risks, fostering market discipline and investor confidence.This study employs a Semantic Literature Review (SLR) to analyze the interaction between these approaches, focusing on mechanisms like securitization, contract design, and macroprudential policies. By reviewing ten peer reviewed articles published between 2015 and 2024, key themes and challenges related to systemic risks, moral hazards, and regulatory gaps are identified. Thematic analysis, supported by tools like NVivo, reveals the potential of these mechanisms to enhance financial stability when implemented within a robust regulatory framework.The results highlights that while risk financing transfers increase flexibility and market efficiency, they May exacerbate moral hazards without sufficient risk retention. Macroprudential policies and accurate risk pricing is crucial in addressing systemic risks, particularly in sectors like shadow banking and climate vulnerable regions. The study also underscore the importance of transparent contract design and the integration of innovative tools, such as geospatial data and machine learning, to support fair and efficient risk distribution.In conclusion, balancing market efficiency and systemic risk mitigation is imperative.While? risk retention strengths accountability and oversight, effective integration with risk financing transfers is necessary to create a sustainable and resilient financial system.This? review provides valuable insights for policy makers and practitioners in addressing emerging financial challenges.

This research aims to analyze the obstacles and supporting factors in the application of legal sanctions against inmates who violate the order related to the granting of rights in Class II A Penitentiaries Semarang. This is important to study considering that there are still violations of inmates' rights in some prisons in Indonesia. This research is a normative-empirical legal research, with a statutory approach. The novelty of this research is that there are changes in the statutory regulations and in the research location there is an increase in the number of offenders. The results of the study show that the limited capacity and density of prisons make implementing regulations more difficult. Discomfort and poor detention conditions create tensions and violations of inmates' rights. Meanwhile, the imposition of strict sanctions sometimes violates the rights of inmates which is also a problem for prison officers, referring to a comparison of data on the number of disciplinary offenders from the previous year at Semarang Class II Prison has not experienced significant changes. This means that the number of offenders continues to increase and there are still inmates who repeat their crimes. The obstacles in the application of legal sanctions against inmates who violate the statutory regulations in Semarang Class IIA Penitentiary include limited resources, density or overcapacity, resistance or resistance from inmates, and lack of external supervision. While the solutions are preventive efforts and repressive efforts.


Penelitian ini bertujuan untuk menganalisis kendala dan faktor pendukung dalam penerapan sanksi hukum terhadap narapidana yang melanggar tata tertib terkait pemberian hak di Lapas Kelas II A Semarang. Hal ini menjadi penting untuk diteliti mengingat masih terdapat pelanggaran terhadap hak-hak narapidana di beberapa Lapas di Indonesia. Penelitian ini adalah penelitian hukum normatif-empiris, dengan pendekatan perundang-undangan. Kebaruan dari penelitian ini adalah terdapat dari sisi perubahan peraturan perundang-undangan dan pada tempat penelitian yang terdapat peningkatan jumlah pelanggar. Hasil penelitian menunjukkan terbatasnya kapasitas dan kepadatan penjara membuat peraturan pelaksanaan menjadi lebih sulit. Ketidaknyamanan dan kondisi penahanan yang buruk menciptakan ketegangan dan pelanggaran hak-hak narapidana. Sementara itu, pemberian sanksi yang tegas terkadang melanggar hak-hak narapidana yang juga menjadi permasalahan bagi petugas pemasyarakatan, mengacu pada perbandingan data jumlah pelanggar disiplin dari tahun sebelumnya di Lapas Kelas II Semarang tidak mengalami perubahan signifikan. Artinya, jumlah pelanggar masih terus bertambah dan masih terdapat narapidana yang mengulangi kejahatannya. Kendala dalam penerapan sanksi hukum terhadap narapidana yang melanggar peraturan perundang-undangan di Lapas Kelas II A Semarang antara lain adalah keterbatasan sumber daya, kepadatan atau kelebihan kapasitas, resistensi atau perlawanan dari narapidana dan kurangnya pengawasan dari luar. Sedangkan solusi yang dilakukan adalah upaya preventif dan upaya represif.

Kegagalan jantung (Heart Failure) merupakan salah satu penyebab utama kematian dan morbiditas secara global, dengan lebih dari 26 juta orang terdampak di seluruh dunia. Deteksi dini kegagalan jantung sangat penting untuk mencegah komplikasi yang lebih serius, namun diagnosis sering kali sulit dilakukan karena gejala yang tidak spesifik. Pembelajaran mesin (machine learning) telah banyak digunakan untuk membantu prediksi risiko kegagalan jantung melalui analisis data medis. Berbagai algoritma klasifikasi telah diimplementasikan dalam berbagai penelitian sebalumnya, namun belum ada konsensus mengenai algoritma terbaik. Penelitian ini bertujuan untuk melakukan komparasi performa beberapa algoritma klasifikasi dalam memprediksi gagal jantung, menggunakan dataset Heart Failure Prediction dari Kaggle. Algoritma yang diuji termasuk Logistic Regression, K-Nearest Neighbors (KNN), Decision Tree, Random Forest, GaussianNB, dan LightGBM. Hasil menunjukkan bahwa algoritma Random Forest memberikan performa terbaik dengan akurasi 95 persen, sedangkan algoritma KNN menunjukkan akurasi terendah sebesar 76 persen. Penelitian ini diharapkan dapat berkontribusi dalam pengembangan sistem pendukung keputusan klinis yang lebih baik untuk prediksi kegagalan jantung.
 
Kata Kunci: Heart Failure, mesin pembelajaran algoritma klasifikasi

This study aims to analyze the performance of Police Sector intelligence as a detection base in supporting the maintenance of security and public order and analyze the efforts to improve the performance of Police Intelligence as a detection base in supporting the maintenance of security and public order in the Batang Police Department. The research method used is a sociological juridical. The analysis of research results shows that early detection efforts carried out by the Sector Police Unit of the Batang Resort Police security intelligence unit really need to be carried out so that they are able to detect, search and collect and dig up information from the community, then an identification process is carried out to sort, calculate and determine alternatives and consider and reading the signs of the facts from the detection results, the results are expressed in intelligence administration in the form of products that guarantee confidentiality, speed, accuracy and predictability. The discipline of the Batang Police Sector personnel in understanding the regulations and policies of leaders who are obliged to work is still lacking, as evidenced by the finding that the implementation of the Sector Police as a Detection Base has not run optimally, both operationally in the field and administratively.




Penelitian ini bertujuan untuk menganalisis kinerja Intelijen PoIsek sebagai basis deteksi dalam mendukung Harkamtibmas dan menganalisis upaya meningkatkan kinerja Intelijen Polsek sebagai basis deteksi dalam mendukung Harkamtibmas di wilayah hukum Polres Batang. Urgensi penelitian ini adalah sebagai acuan referensi yang mendukung bagi peneliti maupun pihak lain yang tertarik dalam bidang penelitian yang sama terutama tentang upaya meningkatkan kinerja intelijen Polsek sebagai basis deteksi. Metode penelitian hukum yang digunakan yuridis sosiologis. Hasil penelitian ini menunjukan bahwa upaya deteksi dini yang dilakukan Unit Polsek dari Satuan InteIkam Polres Batang sangat perlu dilakukan, sehingga mampu mendeteksi, mencari dan mengumpuIkan serta menggali informasi dari masyarakat, kemudian dilakukan proses identifikasi untuk memilah, menghitung dan menetapkan alternatif-alternatif serta mempertimbangkan dan membaca gelagat dari fakta-fakta hasil deteksi, maka hasil tersebut dituangkan dalam administrasi intelijen berupa produk-produk yang bersifat terjamin kerahasiaan, kecepatan, ketepatan dan predikitif. Kedisiplinan personil Polsek jajaran Polres Batang dalam memahami peraturan dan kebijakan pimpinan yang menjadi kewajiban bekerja masih kurang, terbukti dengan adanya temuan pelaksanaan Polsek Sebagai Basis Deteksi belum berjalan secara maksimal baik operasional dilapangan maupun secara administrasinya.

This research aims to analyze the judge's considerations when deciding industrial relations court cases with separate filings and the legal consequences of differences in rulings from industrial relations court cases with separate filings (splitting). The urgency of this research is that currently, courts consider factors beyond the literal interpretation of the law when making decisions, therefore legal professionals, including judges, must have empathy for individuals which is reflected in their decisions. This type of research is normative juridical. The research results show that splitting in the resolution of industrial relations cases refers to the separation of interest disputes and employment termination (PHK) disputes in decisions. However, this separation creates legal uncertainty and a damaged sense of justice. This separation of cases also has the impact of separating settlements and decisions, resulting in two different decisions for each type of dispute, with different legal consequences. The Civil Procedure Law (HIR) and Field Room (RBg) systems are used in industrial relations courts, but high costs, especially for workers, are the main obstacle. Apart from that, differences in decisions between judges also give rise to injustice.

Penelitian ini bertujuan untuk menganalisis pertimbangan hakim pada saat memutuskan perkara pengadilan hubungan industrial dengan pemberkasan yang terpisah dan akibat hukum dari perbedaan amar putusan dari perkara pengadilan hubungan industrial dengan pemberkasan yang terpisah (splitsing). Urgensi penelitian ini yaitu saat ini, pengadilan mempertimbangkan faktor-faktor di luar penafsiran hukum secara harafiah ketika mengambil keputusan, oleh karena itu para profesional hukum, termasuk hakim, harus memiliki empati terhadap individu yang tercermin dalam putusannya. Jenis penelitian ini yaitu yuridis normatif. Hasil penelitian menunjukkan bahwa splitsing dalam penyelesaian perkara hubungan industrial mengacu pada pemisahan perselisihan kepentingan dan perselisihan pemutusan hubungan kerja (PHK) dalam putusan. Namun, pemisahan ini menimbulkan ketidakpastian hukum dan rasa keadilan yang tercederai. Pemisahan perkara ini juga berdampak pada pemisahan penyelesaian dan putusan, menghasilkan dua amar putusan yang berbeda untuk setiap jenis perselisihan, dengan konsekuensi hukum yang berbeda pula. Sistem Hukum Acara Perdata (HIR) dan Ruang Bidang (RBg) digunakan dalam pengadilan hubungan industrial, namun biaya tinggi, terutama bagi pekerja, menjadi kendala utama. Selain itu, perbedaan putusan antara hakim juga menimbulkan ketidakadilan.

This study investigates the effects of social media usage on the mental health of adolescents, focusing on issues such as anxiety, self-esteem, and depression. Using surveys and interviews, the research examines how prolonged exposure to social media content, peer comparison, and cyberbullying contribute to mental health challenges. Findings indicate that while social media fosters connectivity, it can also exacerbate mental health issues, highlighting the need for greater awareness and parental guidance.

Uncontrolled hyperglycemia causes hyperosmolarity, stimulating osmotic diuresis and leading to excessive dehydration which can result in death. Therefore, early detection of hypovolemic shock is necessary for immediate management. The aim of the study is to assess the shock index values in hyperglycemic patients in medical and surgical emergency rooms. Using a descriptive method, this study included a population of hyperglycemic patients from January 30 to March 11, 2023, with a sample of 40 patients meeting the inclusion criteria of diabetic ketoacidosis (DKA) and Hyperosmolar Hyperglycemic State (HHS) complications. The instrument used were observation sheets and shock index assessment indicators. The results showed that 16.7% of respondents with DKA experienced moderate shock, 72.2% mild shock, and 11.1% without shock. Meanwhile, 50% of respondents with HHS experienced severe shock, and 50% moderate shock. Mild shock was most common in DKA due to sufficient body fluids preventing a drop in blood pressure and pulse rate. Conversely, HHS patient exhibited severe and moderate shock because high blood glucose levels caused osmotic diuresis, leading to excessive dehydration. It can be concluded that higher blood glucose levels result in more severe dehydration thus worsening the shock condition