ijcs

IJSC

Enforcement of Illegal Fishing Laws that was Done by Foreign Ships in the Indonesian Sea Region, Viewed from International Sea Law - Pages 1164-1173

Siti Awaliyah, Dewa Gede Sudika Mangku, Ni Putu Rai Yuliartini, I Nengah Suastika and Ruslan

DOI: https://doi.org/10.6000/1929-4409.2020.09.137

Published: 09 November 2020


Abstract: This study aims to determine and examine the law enforcement of illegal fishing and the factors that inhibit law enforcement of illegal fishing conducted by foreign ships in the sea of Indonesia in terms of international maritime law. The type of research used by the authors in this study is a type of normative legal research. Normative legal research is done by examining the object of the form of legislation or legal norms applicable or applied to a particular legal problem. Concerning the type of research used the approach. The results showed that according to the 1982 International Maritime Law Convention (UNCLOS 1982) law enforcement of illegal fishing has been regulated in Article 73 UNCLOS 1982 while in the Indonesian National Law has been regulated in Article 69 Paragraph (4) law Number 45 of 2009 on Fisheries. Further obstacles to law enforcement are the impenetrable enforcement, lack of insight, and the integrity of law enforcement, and the lack of an active role and awareness of the community to assist law enforcement of illegal fishing in the Indonesian marine territory.

Keywords: Illegal Fishing, Law Enforcement, UNCLOS 1982, International Law.

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IJSC

Organization of Research Activities as a Factor in Increasing the Efficiency of Training International Students in Host Russian Universities - Pages 1174-1187

Alexander B. Shatilov, Pavel B. Salin, Vladimir V. Bondarenko, Maria A. Tanina and Vera A. Yudina

DOI: https://doi.org/10.6000/1929-4409.2020.09.138

Published: 09 November 2020


Abstract: This article summarizes the practices of organizing research activities that can improve the training of international students in Russian universities. The authors analyzed and identified the correlation between the internal costs of research and development (R&D), the equipment in university research laboratories, and the number of foreigners studying at Russian universities. The authors used the methods of analysis and synthesis and a systematic approach to explore the experience of Russian universities in the training of international students. To identify the impact of internal R&D costs and the equipment of university research laboratories on the number of foreigners studying in Russian universities, the authors applied correlation and regression analysis, which included building a regression equation, calculating the correlation coefficient, the t-test, the coefficient of elasticity, and the coefficient of determination. This research paper revealed a strong correlation between the number of international students in the Russian Federation on the internal R&D costs and the cost of fixed assets and the equipment of Russian universities, which was proven by the calculated correlation coefficients, elasticity coefficients, and determination coefficients. The authors concluded that universities could influence the number of international students. This article proposes some methods for organizing the research activities of international students that increase their academic mobility and form the most relevant scientific and professional competencies. Higher educational institutions of any major can implement these recommendations for managing the research activities of international students. The novelty of this study lies in the fact that the authors performed the correlation and regression analysis and revealed the dependence of the number of international students in the Russian Federation on internal R&D costs, the cost of fixed assets, and the equipment of Russian universities. The authors illustrated the analysis results with the trend predictive values of factorial features and the value of the effective feature estimated according to the regression equations built. Using the calculated MAPE and Forecast Accuracy indicators for these predicted values, the authors concluded that the level of factorial features and the effective feature were predicted with high accuracy. Thus, host Russian universities can increase the number of international students through effective organization of research activities.

Keywords: Research activities, international students training, the global market for educational services, international education.

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IJSC

Innovative Industrial Clusters in the Context of Digitalization and Sustainable Competitiveness - Pages 1188-1196

Tatiana A. Salimova, Nadezhda D. Guskova, Irina N. Krakovskaya and Lyudmila I. Biryukova

DOI: https://doi.org/10.6000/1929-4409.2020.09.139

Published: 09 November 2020


Abstract: To ensure Russia's sustainable competitiveness, it is necessary to create an infrastructure that allows creating globally competitive technologies and products. The authors suggest that industrial clusters can drive the country’s sustainable economic and innovative development. The research methodology is based on the content of the concept of sustainable competitiveness and cluster theory. The study was carried out using the methods of regression analysis. The systematization of foreign and Russian researchers’ ideas contribute to the conclusion that the cluster approach for ensuring sustainable development and competitiveness in the digital era is regarded as absolutely reasonable. In order to test the hypothesis of the study using regression analysis, a model has been built to assess the dependence and influence of the number of clusters in Russia Federal Districts on the main indicators of economic innovative development of these territories. The regression models constructed by the authors demonstrate a clear dependence of region economic and innovative development indicators on the clustering level. The authors of the present research recognize that clustering should be considered one of the basic elements in the system of national and regional sustainable competitiveness.

Keywords: Sustainable competitiveness, sustainable development, digitalization, innovation, industrial clusters.

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IJSC

Economic Model for Assessing the Return on Investments in Structural Health Monitoring Systems - Pages 1188-1196

Ivan V. Devyatov, Sergei A. Iurgenson, Ivan A. Zharenov, Andrei A. Trutnenko and Dmitrii V. Tuev

DOI: https://doi.org/10.6000/1929-4409.2020.09.140

Published: 09 November 2020


Abstract: Purpose: The purpose of this article is the description of the approach to the economic assessment of a highly-effective system for state monitoring of structures ensuring an increase in safety and economic efficiency for utilization of complex engineering structures and buildings considering all existing risks.

Design/Methodology/Approach: The essence of the approach is in obtaining the state control data of these structures and buildings from sensors, which detect hidden damages and cracks, monitor consequences of shocks, corrosion, tension, and overheating.

Findings: All the collected data make up the predictive analysis using artificial intelligence, which can and must analyze this data in real-time mode.

Practical Implications: Such a way for monitoring allows for assessing the state of the structures and repairing or replacing them before the critical moments occur, thus significantly reducing the cost of servicing data from complex engineering objects, as well as it ensures their reliability and safety. Digitalization should be introduced in all of the industrial sectors, including aviation, where effectiveness, reliability, and safety are closely interconnected.

Originality/Value: Thanks to the development of the state monitoring systems and the economic efficiency of their use in critical structures, the possibility, and intensiveness of their improvement are growing. This has great value and pushes modern productions forward.

Keywords: Operation of aviation equipment, construction facilities, economical efficiency, product lifecycle cost, condition-based operation, structural health monitoring systems.

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