Metode Bulirsch-Stoer pada Model Predator-Prey Penangkapan Ikan dengan Perilaku Schooling

Dalam bidang matematika, banyak model yang dikembangkan untuk memprediksi perubahan dalam bidang perikanan. Salah satu model yang sering digunakan untuk menganalisis interaksi ikan beserta biota laut lainnya adalah model predator-prey. Penelitian sebelumnya telah menganalisis dan membuat simulasi model predator-prey dengan Metode Runge-Kutta. Artikel ini membandingkan Metode Runge-Kutta dan metode Bulirsch–Stoer. Hasil yang diperoleh memberikan kesimpulan bahwa metode Bulirsch-Stoer yang digunakan masih perlu dikembangkan karena hasil yang diberikan metode ini tidak konvergen

Feature Papers of Drones - Volume II

[EN] The present book is divided into two volumes (Volume I: articles 1–23, and Volume II: articles 24–54) which compile the articles and communications submitted to the Topical Collection ”Feature Papers of Drones” during the years 2020 to 2022 describing novel or new cutting-edge designs, developments, and/or applications of unmanned vehicles (drones). Articles 24–41 are focused on drone applications, but emphasize two types: firstly, those related to agriculture and forestry (articles 24–35) where the number of applications of drones dominates all other possible applications. These articles review the latest research and future directions for precision agriculture, vegetation monitoring, change monitoring, forestry management, and forest fires. Secondly, articles 36–41 addresses the water and marine application of drones for ecological and conservation-related applications with emphasis on the monitoring of water resources and habitat monitoring. Finally, articles 42–54 looks at just a few of the huge variety of potential applications of civil drones from different points of view, including the following: the social acceptance of drone operations in urban areas or their influential factors; 3D reconstruction applications; sensor technologies to either improve the performance of existing applications or to open up new working areas; and machine and deep learning development