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Application Of Criminal Sanctions Towards Children Who Are Suspects Of Meth Based On Law Number 35 Of 2014 Concerning Child Protection (Case Study Of Decision Number: 72/Pid.Sus-Anak/2023/Pn.Plg) Rayhan, Bagus Oka; Hambali, Yusuf; Pettanase, Ismail
Journal of Research in Social Science and Humanities Vol 5, No 1 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i1.279

Abstract

Legal protection for children who are being prosecuted for the abuse of methamphetamine is by providing special protection from the government and state institutions in the form of supervision, prevention, care, and rehabilitation by the government and the community. The formulation of the problem in this study is: 1. What is the legal protection for children who are being prosecuted for the abuse of methamphetamine? and. 2. How is the application of criminal sanctions against children who are suspects of methamphetamine based on Law Number: 35 of 2014 concerning Child Protection? The research method used in this study is normative research. The data sources used in this study consist of primary and secondary data. Based on the results of the study, it shows that: 1). Legal protection for children who are being prosecuted for the abuse of methamphetamine, children must be given special protection by both the government and special institutions, according to Article 3 of Law Number. 11 of 2012 concerning the Child Criminal Justice System which emphasizes that one of the rights of children is not to be arrested, detained, imprisoned except as a last resort. The rights mentioned in letter h of Article 3 are one of the fundamental rights that must be considered by Police and Court Investigators. 2). The application of criminal sanctions against children who are suspects of methamphetamine based on Law Number: 35 of 2014 concerning the Protection of Children who abuse narcotics can be carried out by diversion which is a very important policy to be applied in the formal justice process. In addition, children can also be subject to criminal sanctions which are a last resort. Criminal sanctions for children consist of principal and additional penalties. Principal penalties consist of warning penalties, penalties with conditions, job training, and coaching in institutions
Smart Strategies in Hardware Provisioning for Ai Solutions in The Cloud Hambali, Yusuf; Riwurohi, Jan Everhard; Akbar, Victor
Eduvest - Journal of Universal Studies Vol. 4 No. 12 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i12.43140

Abstract

Rapid developments in artificial intelligence (AI) have driven the need for more efficient and powerful computing infrastructure, especially in cloud environments. This research explores smart strategies in providing hardware for AI solutions in the cloud, focusing on the latest innovations in AI hardware such as neuromorphic chips, FPGAs, and ASICs. Through a comprehensive analysis of the current literature, performance benchmarks, and implementation case studies, the study identifies several key strategies. Key findings include the effectiveness of hybrid architectures that combine different types of AI hardware, the potential for resource disaggregators and composable architectures to improve flexibility and efficiency, and the importance of specific acceleration for different phases in the AI pipeline. The study also emphasizes the significance of performance optimization and energy efficiency, as well as the integration of security and data privacy features in AI hardware design. Challenges such as standardization, scalability, and complexity management are discussed along with future opportunities in green AI and computing-in-memory. In conclusion, implementing a smart strategy in the provision of AI hardware in the cloud requires a holistic approach that considers workload diversity, architectural flexibility, energy efficiency, and security aspects. This research provides valuable insights for cloud service providers, hardware manufacturers, and AI practitioners in optimizing infrastructure to support AI innovation in the cloud computing era.