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"Kapal container pada saat ini menjadi daya tarik bagi para customer dalam mengirimkan muatan melalui laut. Hal ini dirasakan semenjak dunia pelayaran nasional semakin berkembang dan untuk mendapatkan keuntungan maksimal kapalkapal konvensional dirasakan kurang memadai untuk transportasi laut bila dibandingkan dengan kapal - kapal container. Penelitian kali ini dilakukan untuk mendapatkan waktu siklus kapal yang optimum dengan mempertimbangkan jumlah muatan yang tersedia dan armada kapal container. Perhitungan yang dilakukan antara lain waktu berlayar kapal dan waktu di pelabuhan. Kemudian dibuat model matematis dengan pendekatan program linear yang merupakan cabang ilmu dari teori operation research. Hasil dalam penelitian ini adalah bahwa dengan pemodelan optimasi waktu siklus yang dibuat dapat dihitung jumlah perjalanan kapal per tahun dan menentukan jumlah armada kapal container yang beroperasi dengan waktu siklus yang optimal untuk memenuhi kebutuhan pasar dengan melakukan teknik peramalan jumlah muatan.

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Container ships become pull power for sending cargo by sea. This circumstance is expanding in line with the growing of the national shipping in their effort to maximize the profit through the cargo they carry. Therefore, conventional ships are becoming less competitive compared to the container ships.

This research is aimed to get optimum cyclus ship time of container ships by consider the amount of available cargo and container ship fleet. The calculation is based on the sea time and port time. Then, the mathematics modeling with linear programming approach is carried out.

The research is concluded that by this modeling time cyclus optimation we can calculate the container ship voyage in a year and to decide a number of container ships that operate in cyclus time optimally to achieve market requirements based on forecasting method of loading."

"This book provides a self-contained introduction to the theory of infinite-dimensional systems theory and its applications to port-Hamiltonian systems. Many physical systems can be formulated using a Hamiltonian framework, leading to models described by ordinary or partial differential equations. For the purpose of control and for the interconnection of two or more Hamiltonian systems it is essential to take into account this interaction with the environment. This book is the first textbook on infinite-dimensional port-Hamiltonian systems. An abstract functional analytical approach is combined with the physical approach to Hamiltonian systems. This combined approach leads to easily verifiable conditions for well-posedness and stability."

"This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction intervals that work when the error distribution is unknown, suggests bootstrap hypothesis tests that may be useful for inference after variable selection, and develops prediction regions and large sample theory for the multivariate linear regression model that has m response variables. A relationship between multivariate prediction regions and confidence regions provides a simple way to bootstrap confidence regions. These confidence regions often provide a practical method for testing hypotheses. There is also a chapter on generalized linear models and generalized additive models. There are many R functions to produce response and residual plots, to simulate prediction intervals and hypothesis tests, to detect outliers, and to choose response transformations for multiple linear regression or experimental design models."