Detention Center/Prison is an institution where defendants who are undergoing trial are held and where criminal sentences are carried out for law violators in Indonesia. In the detention center/prison there are of course rules and regulations that apply to inmates. These provisions are contained in Law 32 of 1995 concerning corrections. Placement in solitary confinement is a form of disciplinary punishment for violators. Silence is given to convicts who are proven to have committed light category offenses more than once or have committed offenses at the moderate level. The aim of implementing silent closure is so that violators can reflect well on their mistakes and are expected not to commit further violations in the future. Because after this, if they commit a violation, the consequences will be more severe.

This research aims to find out an overview of fisheries profit sharing in the Huyula Tradition in the Paguat Coastal Area, based on the title raised in this research. This research uses a type of normative legal research. The process of collecting data from the objects studied in this research is using library research. The data obtained by this research uses a normative analysis method, namely by interpreting and discussing research material based on law, legal norms, legal theories and doctrines related to the main problem. The results of this research show that the Juridical Review of Fishery Profit Sharing in the Huyula Tradition on the Paguat Coast, namely in the Bongoime Village community, Huyula values are applied by the community in various aspects of life. Huyula values are manifested in various activities, for example in community service for environmental cleanup rural areas, building village roads, death, cleaning local irrigation canals and agricultural activities. Community service activities for the public interest, in coordination with the local government without distinguishing between social status, community service activities are usually referred to as "Hulunga" activities by the community as well as factors that influence profit sharing problems, namely economic factors, catch factors, entanglement factors. debt, education factor, legal knowledge factor and age factor.

It seems that Indonesia still lacks understanding about the disclosure of sustainability. Furthermore, it is believed that socioeconomic, cultural, governance and environmental challenges are crucial to the success of a business. The influence of corporate governance and organizational culture on sustainability performance, with strategic posture acting as a moderating variable, leads to intriguing issues that warrant further analysis. This study's population consists of all companies listed on the Indonesia Stock Exchange. Purposive sampling is used as a technique in this study. The company's website, which includes information from 2009 to 2018, was sourced from www.idx.co.id and other pertinent sources. Data collection was done, and Warp PLS algorithms were employed for the analysis method. After analyzing and debating the data, the following conclusion was reached: corporate governance and organizational culture greatly impact sustainable performance. When examining the impact of corporate governance and organizational culture on sustainability performance, strategic posture may act as a moderating factor

This research aims to determine the influence of store atmosphere, promotions and product diversity on purchasing decisions at Listy Mart. This type of research is quantitative research. This research data was obtained through primary and secondary data. The population in this research are consumers at Listy Mart. The sample in this research was 213 consumers with a sampling technique using the Slovin formula. The analysis techniques used are validity testing, reliability testing, classical assumption testing, multiple linear regression analysis and hypothesis testing. The research results show that the partial t test results show that the shop atmosphere, promotion and product diversity variables influence purchasing decisions at Listy Mart. Simultaneous F test results: store atmosphere, promotions and product diversity influence purchasing decisions at Listy Mart

This article investigates the empowerment of Micro, Small, and Medium Enterprises (MSMEs) owned by individuals with disabilities through digital business transformation, with a specific focus on reviewing content creators on the YouTube platform. This analytical approach aims to understand how disabled MSMEs utilize digital platforms, particularly YouTube, to expand their reach, increase visibility, and gain support from the community. Data were collected through searching and analyzing content produced by creators related to disabilities and MSMEs, using the search method of the top 10 views from 3 hashtags #MSME #disability #digital. The findings from this analysis reveal the low intensity of the number of viewers with the highest views still below 1000, there are already some parties that have supported disabled MSMEs by involving various stakeholders, such as the government, financial institutions, non-profit organizations, academics, business associations, and surrounding communities. These findings not only reveal the strategies and best practices used by disabled MSMEs in utilizing YouTube but also highlight the challenges and opportunities they face in the process. Policy implications and recommendations to support the growth of disabled MSMEs through digital platforms are also discussed. This research is expected to provide a deeper insight into the role of digital business in strengthening economic inclusion for individuals with disabilities in Indonesia.

This research aims to determine the influence of Brand Awareness and Electronic Word of Mouth Marketing on Repurchase Intention through Customer Satisfaction as an Intervening Variable in Erigo Fashion in the Shopee Application on Students of the Faculty of Economics and Business, Makassar State University. The data used in this research is primary data of 100 samples. This type of research is included in quantitative research. The population in this study were students from the Faculty of Economics and Business, Makassar State University who had made purchases from Erigo Fashion on the Shopee Application. Data collection was carried out using documentation and survey methods using questionnaires. The data analysis technique uses PLS (Partial Least Square) analysis. The results of this research show that brand awareness and electronic word of mouth have a positive and significant influence on customer satisfaction with Erigo fashion in the Shopee application. Furthermore, customer satisfaction also has a positive and significant impact on repurchase intention. Brand awareness does not have a significant influence on repurchess intention, and electronic word of mouth does not have a significant influence on prepurchess intention. Apart from that, brand awareness influences repurchase intention through customer satisfaction as an intervening variable, while electronic word of mouth also influences repurchase intention through customer satisfaction as and intervening variable.
 
 

The people of Pecekelan Village, Sepuran District, Wonosobo Regency, Central Java, face a unique challenge in the form of an unpleasant odor from cattle pens adjacent to settlements, reflecting a strong agrarian life but interfering with daily comfort. In response to this situation, the Community Service Lecture (KPM) team from the University of Al-Quran Science developed an innovation in making aromatherapy candles made from used cooking oil as a natural solution to eliminate the smell of cages. This initiative not only aims to overcome the odor problem, but also to utilize household waste into useful products, create economical and environmentally friendly solutions, and improve the quality of life of village communities. This program is carried out through a series of activities including socialization, aromatherapy candle making training, product trials, and basic entrepreneurship training. Early results show effectiveness in reducing cage odors, improving home comfort, and creating a healthier environment. Furthermore, this program increases public awareness about waste management, encourages active participation in maintaining environmental cleanliness, and opens up new economic opportunities. This simple but impactful innovation has the potential to be applied in other areas with similar problems, promoting a sustainable approach in addressing environmental challenges at the household level while empowering local communities.

Accurate image segmentation is a pivotal process in medical imaging, essential for supporting diagnosis, treatment planning, and monitoring disease progression. This study evaluates the effectiveness of machine learning algorithms, including U-Net, Fully Convolutional Networks (FCNs), and Mask R-CNN, in achieving high-precision segmentation of medical images. Experimental results demonstrate that these models significantly enhance segmentation accuracy, enabling more precise diagnostic outcomes in clinical settings and advancing the development of automated medical imaging technologies.

With the rapid expansion of the Industrial Internet of Things (IIoT), integrating devices, machines, and systems to optimize operations and enable data-driven decision-making, ensuring robust security measures is essential. While blockchain has shown the potential to upgrade traditional authentication methods in IIoT environments, vulnerabilities persist. This paper introduces two innovative methods to enhance blockchain-based authentication in IIoT: first, integrating AI-driven anomaly and threat detection into the blockchain authentication scheme; second, implementing Ethereum smart contracts for enhanced authentication with a two-factor authentication (2FA) system and GFE algorithms. By combining AI for anomaly detection with decentralized smart contracts and blockchain-based 2FA, and leveraging GFE algorithms to enhance blockchain capabilities, the proposed scheme aims to significantly fortify security measures. This integration offers a resilient defense against evolving threats, ensuring transparency, adaptability, and heightened security in IIoT applications.

The rise of smart cities brings increased interconnectivity, but also new security vulnerabilities, especially among IoT devices. This study investigates methods for improving cybersecurity in smart cities by implementing IoT device management protocols. We examine approaches such as network segmentation and secure authentication to mitigate common threats, thus providing a safer environment for urban digital infrastructure.