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Exclusive Economic Zone: Contemporary Law of the Sea Fisheries Regulations Toni, Toni; Kusuma, Winanda; Kurnia, A Cery; Anwar, Muhamad syaiful; sari, Rafiqa
Ikatan Penulis Mahasiswa Hukum Indonesia Law Journal Vol 3 No 2 (2023): IPMHI Law Journal, July 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ipmhi.v3i2.71165

Abstract

The sea as an important area in a country must be able to be maintained both for state sovereignty and respect for sovereign rights. This is regulated in the jurisdiction of the territorial sea regime which applies sovereignty and the EEZ regime which applies sovereign rights. This research analyzes the background of agreements on international regulation of the sea and the utilization of fisheries which are also regulated in international law. The current international law of the sea only strictly regulates regional regimes and territorial jurisdiction, while the nature of fisheries cannot follow this. This research method is normative where international fisheries law arrangements still do not exist. The vacuum of international norms is only filled by weak international agreements and their implementation cannot be forced. The history of the current international law of the sea shows that the basis of the agreement is only related to territory and respect for maritime law in the form of international customs. It needs to be understood that the sea as a natural area must be used in a sustainable manner and also must not violate, so the marine potential, especially fisheries, needs to be agreed with strict sea area regulations and optimal utilization within the framework of the welfare and sustainability of marine ecosystems.
Implementation of Artificial Neural Networks in an Android-Based Online Course Recommendation Application Anwar, Muhamad Syaiful; Murniyati, Murniyati
COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Vol 7, No 1 (2026): Sustainable Information Technology Innovation Supports a Digital-Based Smart Eco
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/coreai.v7i1.13177

Abstract

The growing interest in online courses has caused information overload. Users now struggle to choose suitable programs. Machine Learning (ML) can address this problem through a Recommendation System Model based on an artificial neural network (ANN). This research aims to address this issue by designing an intelligent, ML-based recommendation system integrated within an Android app. The system uses a TensorFlow-built ML model to provide personalized course recommendations. The native Android application is developed with Kotlin and Jetpack Compose. Results show that the developed model provides recommendations that match user preferences and is successfully implemented in the online course recommendation application 'Rekomendasi Kursus Online.' Supporting features include Google account authentication, cloud storage, synchronization for favorite course lists, and dark mode. These features work as expected. User testing with the System Usability Scale (SUS) yielded a score of 83.17. This places the app in the Grade B category with a "Good" rating, showing the application is well-designed and suitable for use.