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"Children are unique and also potential market because they usually do not spend their own money but they have a huge purchasing power through their parents. They are potential market, because from the number of kids in the market and their spending are big and promising. There are three types of kids market: first, children as the primary markets; second, children as the influencer market which emphasizing on the influence of children assert on family purchases. Third, because the children will grow up, then we can consider children as the future market. Based on the above descriptions, the authors intent to identify the determinants of children intention to consume such as product characteristics, reference group, retail environment and promotion, and create a questionnaire for the children and develop hypothesis using these study findings. The data obtained from the field using survey method was used to test all the hypotheses empirically. Based on the research findings, we came to conclusion that the promotion has a greater and important effect in developing intention of children?s consumption. These initial findings will be used intentionally in another study which is try to find out the relationship between children intention to consume and their commitment to future market as they grown up and second objective of this study is to develop an initial and appropriate questionnaire for the children which we realize is different from questionnaire for the adult people."

"Odd-even-transposition adalah suatu algoritma paralel yang merupakan pengembangan dari algoritma sekuensial ―bubble sort‖. Algoritma odd-even-transposition ini didesain khusus untuk model jaringan array linier (homogen). Untuk n elemen data, kompleksitas waktu dari algoritma bubble sort adalah O(n2), sedangkan pada odd-even-transposition yang bekerja di atas n prosesor adalah (n). Ada peningkatan kecepatan waktu pada kinerja algoritma paralel ini sebesar n kali dibanding algoritma sekuensialnya. Hypercube dimensi k adalah model jaringan non-linier (non-homogen) terdiri dari n = 2k prosesor, di mana setiap prosesor berderajat k. Model jaringan Fibonacci cube dan extended Lucas cube masing-masing merupakan model subjaringan hypercube dengan jumlah prosesor < 2k prosesor dan maksimum derajat prosesornya adalah k. Pada paper ini, diperlihatkan bagaimana algoritma odd-even-transposition dapat dijalankan juga pada model jaringan komputer cluster non-linier hypercube, Fibonacci cube, dan extended Lucas cube dengan kompleksitas waktu O(n).Odd-even-transposition is a parallel algorithm which is the development of sequential algorithm ―bubble sort‖. Odd-even transposition algorithm is specially designed for linear array network model (homogeneous). For n data elements, the time complexity of bubble sort algorithm is O(n2), while the odd-even-transposition that works with n processor is (n). There in an increase in the speed of time on the performance of this parallel algorithms for n times than its sequential algorithm. K-dimensional hypercube is a non-linear network model (non-homogeneous) consists of n = 2k processors, where each processor has k degree . Network model of Fibonacci cube and extended Lucas cube are the hypercube sub-network model with the number of processors <2k processors and maximum processor degree is k. In this paper, it is shown how the odd-even-transposition algorithm can also be run on non-linear hypercube cluster, Fibonacci cube, and extended Lucas cube computer network model with time complexity O(n)."