429,713 research outputs found
THE SCHEDULE MANAGEMENT OF MOVING CLASS LEARNING SYSTEM IN SMA NEGERI 3 BANTUL AS A PIONEER OF INDEPENDENT CATEGORIAL SCHOOL
The objective of this study is to find out the time-allocation. The time-allocation can be explained further as the total of time-allocation for students and teachers to make room switching and the room-usage level for the subject that is done before and after the schedule development and room determining. That is also a consideration to maximize room-usage for the subjects in the implementation of learning process by using moving class learning system based on the special schedule toward State Examination 2011 in SMA N 3 Bantul.
This study is an educational research and development study, which is focused on the schedule as a part of educational curriculum administration. This study was implemented in December 2010-February 2011 and its location was in SMA N 3 Bantul. The period of the trial and schedule implementation were made during four weeks as well as each week revision of the trial and implementation period. The studied aspects were the time allocation that was used by students and teachers for doing room switching and the level of room-usage for each subject. Estimation of the time allocation was based on the data assumptions, which were compiled by author and built on the result of observation, interview, and documentation. The used researching instruments were observation sheet and interview reference manual. The author used also descriptive analysis and percentage technique as the data analyzing technique.
The result of this study shows the time allocation of students and teachers movement which decreases from the previous room determining state to the next room determining state. For students, the decreasing percentage is 16.67 in Monday, 39.41% in Tuesday, 29.44% in Wednesday, 32.38% in Thursday, 25.49% in Friday, and 37.30% in Saturday. For teacher, the decreasing percentage is 67.90% in Monday, 61.11% in Tuesday, 70.43% in Wednesday, 54.67% in Thursday, 69.57% in Friday, and 63.48% in Saturday. Moreover, for the level of room usage tends to increase which are Mathematic Room 5.80%, Javanese Room 50.00%, Islamic Education Room 40.00%, Chemistry Room (Non-Lab) 28.21%, Economic Room 22.22%, Geographic Room 37.50%, Physic Room (Non-Lab) 33.33%, English Room (+Conversation) 9.38%, Sociology Room 34.62%, Civic Room 50.00%, Indonesian Room 42.31%, Biology Room 14.29%, and History Room 3.57%.
Key words: moving class, schedule, allocation of room switching, level of room-usag
Decomposition methods for dynamic room allocation in hotel revenue management
Long-term stays are quite common in the hotel business. Consequently, it is crucial for the hotel managements to consider the allocation of available rooms to a stream of customers requesting to stay multiple days. This requirement leads to the solving of dynamic network revenue management problems that are computationally challenging. A remedy is to apply decomposition approaches so that an approximate solution can be obtained by solving many simpler problems. In this study, we investigate several room allocation policies in hotel revenue management. We work on various decomposition methods to find reservation policies for advance bookings and stay-over customers. We also devise solution algorithms to solve the resulting problems efficiently
Automated scheduling of hostel room allocation using genetic algorithm
Due to the rapid growth of the student population in tertiary institutions in many developing countries, hostel space has become one of the most important resources in university. Therefore, the decision of student selection and hostel room allocation is indeed a critical issue for university administration. This paper proposes a hierarchical heuristics approach to cope with hostel room allocation problem. The proposed approach involves selecting eligible students using rank based selection method and allocating selected students to the most suitable hostel room possible via the implementation of a genetic algorithm (GA). We also have examined the effects of using different weight associated with constraints on the performance of the GA. Results obtained from the experiments illustrate the feasibility of the suggested approach in solving the hostel room allocation problem
Assessing the allocation of Italian foreign aid
This paper provides an assessment of Italian aid policy during the period 1983-2006. In comparison with other donors (DAC and G-7), the main stylized facts are: persistently lower aid/GDP ratio, greater recourse to multilateral channels, a higher percentage of ââŹĹtiedâ⏠flows and relatively greater recourse to debt relief. Drawing on the empirical literature on aid allocation, we estimate the determinants of Italyâs bilateral aid. We use three groups of explanatory variables, reflecting national-interest, humanitarian and selectivity-related motivations. We find that the distribution of Italian bilateral resources is significantly affected by both national-interest (like foreign policy or trade) and humanitarian motives, related to recipientsâ needs; the latterâs role, in particular, seems to have strengthened over time. There is ample room for improving selectivity, i.e., the capacity to direct ODA flows to ââŹĹdeservingâ⏠countries, where better policies and institutions are likely to increase aid effectiveness.Italian foreign aid, aid allocation, donor motives, economic development.
Bundling, tying and collusion
Tying a good produced monopolistically with a complementary good produced in an oligopolistic market in which there is room for collusion can be profitable if some buyers of the oligopoly good have no demand for the monopoly good. The reason is that a tie makes part of the demand in the oligopolistic market out of the reach of the tying firm's rivals, which decreases the profitability of deviating from a collusive agreement. Tying may thus facilitate collusion. It may also allow the tying firm to alter market share allocation in the collusive oligopolistic market.bundling ; tying ; collusion
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