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"ABSTRAKFokus utama dalam penelitian ini adalah menganalisis peran faktor ekonomi, sosial, dan demografis dalam mempengaruhi permintaan terhadap pendidikan tinggi. Model yang dipilih untuk analisis ini adalah model binomial logit. Dengan menggunakan data dari Survei Sosial Ekonomi Nasional (SUSENAS) 2012, penelitian ini menemukan bagaimana pengaruh biaya langsung, pendapatan yang dikorbankan, dan karakteristik sosial-ekonomi rumah tangga (pendapatan rumah tangga dan tingkat pendidikan orang tua), yang dikontrol dengan variabel kemampuan nonkognitif, lokasi tempat tinggal, dan gender, terhadap keputusan individu untuk berpartisipasi di pendidikan tinggi. Biaya langsung dan pendapatan yang dikorbankan terbukti menurunkan probabilitas individu berpartisipasi di pendidikan tinggi secara signifikan, sedangkan karakteristik sosial-ekonomi rumah tangga memiliki pengaruh yang positif terhadap keputusan berpartisipasi di pendidikan tinggi.

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ABSTRACTThe main focus of this study is to analyze the role of economic, social, and demographic in influencing the demand for higher education. The model selected for this analysis is a binomial logit model. Using data from Survei Sosial Ekonomi Nasional (SUSENAS) 2012, this study found how the influence of direct costs, forgone earnings, and households? socio-economic characteristics (household income and education level of parents), which are controlled by noncognitive ability, location, and gender, on individual's decision to participate in higher education. The direct costs and forgone earnings have significantly lower the likelihood of participation in higher education, while households? socio-economic characteristics have a positive effect on higher educational choice."

"This work encapsulates the essential developments in this field into a single resource, as well as to set an agenda for further development in the field. This brief focuses on the demand flexibility in supply chains with fragmented results distributed throughout the literature. These results have strong implications for managing real-world complex operations planning problems.This book exploits dimensions of demand flexibility in supply chains and characterizes the best fit between demand properties and operations capabilities and constraints. The origins and seminal works are traced in integrated demand and operations planning and an in-depth documentation is provided for the current state of the art. Systems with inherent costs and constraints that must respond to some set of demands at a minimum cost are examined. Crucial unanswered questions are explored and the high-value research directions are highlighted for both practice and for the development of new and interesting optimization models and algorithms."