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"Interaksi antara predator dan prey tidak luput dari faktor-faktor yang dapat mempengaruhi pertumbuhan dari suatu populasi, baik itu predator maupun prey itu sendiri. Pada skripsi ini, model interaksi predator-prey yang melibatkan faktor Allee effect, fear factor, dan anti predasi pada populasi prey serta perburuan pada populasi predator dianalisis secara analitik dan numerik. Model dikonstruksi menggunakan pendekatan persamaan beda hingga diskrit. Kajian analitik pada model juga di- lakukan, yaitu dengan menentukan syarat eksistensi dan kestabilan dari titik-titik keseimbangan model yang digunakan. Dari simulasi numerik, ditemukan kemung- kinan terjadinya fenomena chaos yang bergantung pada pemilihan nilai parameter tertentu. Lebih jauh, hasil simulasi numerik menunjukkan bagaimana kepunahan dapat terjadi jika ketakutan populasi prey akibat pemangsaan oleh populasi preda- tor tidak dapat terkontrol.

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The interaction between predators and prey is inseparable from the factors that can affect the growth of both predators and prey population. In this thesis, the predatorprey interaction model involving the Allee effect, fear factor, and anti-predation factors in the prey population and hunting in the predator population is analyzed analytically and numerically. The model is constructed using a discrete finite difference equation approach. Analytical studies on the model were also carried out, namely by determining the conditions for the existence and stability of the equilibrium points of the model. From the numerical simulation, it is found that the possibility of chaos phenomena occurs which depends on the selection of certain parameter values. Furthermore, numerical simulation results show how extinction can arise if prey populations cannot control their fear due to predation by predator populations."

"Terdapat banyak mangsa (predator) dan mangsa (prey). Diantara sekian banyak fenomena tersebut, feno- mena fear factor menarik untuk dibahas. Fenomena ini menggambarkan ketakutan populasi prey terhadap adanya populasi predator. Fenomena lain yang juga menarik un- tuk dibahas adalah fenomena anti predasi pada populasi prey, yaitu perubahan morfologi ataupun reaksi perlawanan langsung terhadap populasi predator. Pada skripsi ini, model predator-prey yang akan dibahas adalah model yang menggunakan waktu diskrit dengan mempertimbangkan adanya fear factor serta anti predasi. Selain itu, terdapat struktur umur pada populasi prey sehingga terdapat tiga populasi yaitu populasi predator, prey muda, dan prey dewasa. Analisis eksistensi titik keseimbangan serta kestabilannya di- lakukan secara analitik. Hasil kajian analitik kemudian dilanjutkan dengan analisis secara numerik untuk memberikan interpretasi yang lebih mudah dipahami. Beberapa simulasi numerik diberikan untuk menunjukkan bagaimana intervensi struktur umur pada prey, fear factor, dan anti predasi. Lebih jauh, hasil simulasi numerik menunjukkan bagaimana peningkatan populasi menjadi lebih cepat jika tingkat transformasi prey muda menuju dewasa bernilai lebih besar dan terdapat hal menarik bagaimana jika ketakutan populasi prey muda dan prey dewasa tidak dapat terkontrol akibat pemangsaan oleh populasi preda- tor serta bagaimana ukuran dari masing-masing populasi jika banyak prey dewasa yang melakukan perilaku anti predasi kepada predator.

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There are many kinds of phenomena that describe interactions between predator and prey populations. Among the many phenomena, the fear factor phenomenon is interesting to be discussed. This phenomenon illustrates the fear factor of prey in relation to the presence of predator populations. Another phenomenon that is also interesting to discuss is antipredation in the prey population, namely morphological change of behavior or when the prey attacks the predator. In this thesis, the predator-prey model discussed is a model that uses discrete time by considering the fear factor and anti predation. In addition, there is an age structure in the prey population so that there are three populations, namely predator, juvenile prey, and adult prey population. Analytical analysis of equilibrium points and their stabilities has been carried out. Analytic results are followed up with numerical analysis to provide better interpretation. Some numerical simulations are given to show how the age structure intervenes on prey, fear factor, and anti-predation. Furthermore, the results of numerical simulations show how the population increase becomes faster if the transformation rate of juvenile prey into adults is greater and it is interesting if the fear of juvenile prey and adult prey populations cannot be controlled due to predation by predator populations, as well as how the size of each population if many adult preys perform anti-predation behavior against predators."

"Interest in the temporal fluctuations of biological populations can be traced to the dawn of civilization. How can mathematics be used to gain an understanding of population dynamics? This monograph introduces the theory of structured population dynamics and its applications, focusing on the asymptotic dynamics of deterministic models. This theory bridges the gap between the characteristics of individual organisms in a population and the dynamics of the total population as a whole. In this monograph, many applications that illustrate both the theory and a wide variety of biological issues are given, along with an interdisciplinary case study that illustrates the connection of models with the data and the experimental documentation of model predictions. The author also discusses the use of discrete and continuous models and presents a general modeling theory for structured population dynamics. Cushing begins with an obvious point: individuals in biological populations differ with regard to their physical and behavioral characteristics and therefore in the way they interact with their environment. Studying this point effectively requires the use of structured models. Specific examples cited throughout support the valuable use of structured models. Included among these are important applications chosen to illustrate both the mathematical theories and biological problems that have received attention in recent literature."

"The field of mathematical biology is growing rapidly. Questions about infectious diseases, heart attacks, cell signaling, cell movement, ecology, environmental changes, and genomics are now being analyzed using mathematical and computational methods. A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational Methods is the only book that teaches all aspects of modern mathematical modeling and that is specifically designed to introduce undergraduate students to problem solving in the context of biology."

"Mathematical Models in Biology is an introductory book for readers interested in biological applications of mathematics and modeling in biology. A favorite in the mathematical biology community, it shows how relatively simple mathematics can be applied to a variety of models to draw interesting conclusions. Connections are made between diverse biological examples linked by common mathematical themes. A variety of discrete and continuous ordinary and partial differential equation models are explored. Although great advances have taken place in many of the topics covered, the simple lessons contained in Mathematical Models in Biology are still important and informative.Shortly after the publication of Mathematical Models in Biology, the genomics revolution turned Mathematical Biology into a prominent area of interdisciplinary research. With this new millennium, biologists have discovered that mathematics is not only useful, but indispensable! As a result, there has been much resurgent interest in, and a huge expansion of, the fields collectively called mathematical biology. This book serves as a basic introduction to concepts in deterministic biological modeling."

"This book uses fundamental ideas in dynamical systems to answer questions of a biologic nature, in particular, questions about the behavior of populations given a relatively few hypotheses about the nature of their growth and interaction. The principal subject treated is that of coexistence under certain parameter ranges, while asymptotic methods are used to show competitive exclusion in other parameter ranges. Finally, some problems in genetics are posed and analyzed as problems in nonlinear ordinary differential equations."

""Reflecting the major advances that have been made in the field over the past decade, this book provides an overview of current models of biological systems. The focus is on simple quantitative models, highlighting their role in enhancing our understanding of the strategies of gene regulation and dynamics of information transfer along signalling pathways, as well as in unravelling the interplay between function and evolution. The chapters are self-contained, each describing key methods for studying the quantitative aspects of life through the use of physical models. They focus, in particular, on connecting the dynamics of proteins and DNA with strategic decisions on the larger scale of a living cell, using E. coli and phage lambda as key examples. Encompassing fields such as quantitative molecular biology, systems biology and biophysics, this book will be a valuable tool for students from both biological and physical science backgrounds"--"

"This textbook provides an introduction to the field of mathematical biology through the integration of classical applications in ecology with more recent applications to epidemiology, particularly in the context of spread of infectious diseases. "