The number of flights and passenger frequencies has decreased significantly, which is an impact of the airline's tariff policy which sets prices close to the upper limit for each class. Based on data from the Indonesian Central Bureau of Statistics (BPS) it was stated that the movement of passengers in January 2019 decreased by 6.7 million people or decreased by 16.07% compared to December 2018 and the Soekarno-Hatta Airport in Tangerang experienced the largest decline of 23.31 %. This condition will certainly threaten the company's efforts to achieve its predetermined targets, namely one of the revenue targets of 11.4T and of course aero revenue as the biggest contributor becomes threatened and the assumption of non-aero income with a composition of 35% of revenue aero. Related to this, that in order to increase non-aero income there are opportunities that are very possible by developing support areas in the subsidiaries. Subsidiaries are very potential due to the flexibility of the portfolios owned by the subsidiaries and profits that can be directly consolidated into the group. This research to analyze current business of PT Angkasa Pura Solusi, by analyzing external and internal conditions in order to increase the portion of non-cash income in the corporate income structure. Then, it is expected to formulate appropriate strategy for PT Angkasa Pura Solusi based on Analysis in order to increase the portion of non-captive income in the APS revenue structure and the final step is to develop action plan from proposed corporate strategy in order to increase retail revenue by implementing business model strategies. In order to reach the goals from the aims, the author use business model canvas and marjeting mix to create the strategy. And to strengthen the quality of the strategy, the author started to analize the conditions using the TOWS Matrix. Finally, the conclusion is offered based on the analysis result.
Design of Irradiation Facilities at Grid E-1 of Plate Type Research Reactor Bandung. Plate Type Research Reactor Bandung (PTRRB) core design is one of the result of PTRRB research programs. In the previous study the irradiation facilities at grid E-1 has not been designed and also distribution of thermal, epithermal and fast neutron flux at grid E-1 has not been studied. Since that data is very important especially in radioisotope production and neutron beam tube analysis, therefore in this study irradiation facilities at grid E-1will be designed. Previous PTRRB core design is a base for designing irradiation facilities at grid E-1. Considering geometrical of grid E-1 and aluminum tube dimension there are three possibilities aluminum tube configuration. The configurations are configuration 1, 2 and 3. Each configuration was modelled as arrangement of four aluminum tubes and each tube filled by four aluminum irradiation capsules. That configuration was starting point to made MCNP PTRRB reactor core model so there are three MCNP PTRRB reactor core model. MCNP PTRRB reactor core model is needed because MCNP software are computer program for calculating excess reactivity and neutron flux distribution at grid E-1. Result excess reactivity calculation of three configuration indicate that after installing irradiation tube excess reactivity is lower than of limit excess reactivity value 10.9 % of neutronic safety criteria of PTRRB design. Based on neutronic safety criteria, the three configuration is accepted for irradiation facilities PTRRB. Neutron flux calculation result of three configuration reveals that the highest neutron flux is located at capsule no II and III. Profile of thermal neutron flux, epithermal neutron flux and fast neutron flux of three configurations are similar. Neutron flux of thermal, epithermal and fast neutron of three configuration are slightly different. The calculation result reveal that highest thermal neutron flux at grid E-1 is 2.70 × 1013(n/cm 2.sec) at configuration 2. Based on neutronic safety criteria and thermal neutron flux, configuration 2 is appropriate for irradiation facilities of PTRRB.
DOI: 10.17014/ijog.v5i4.107Analytical Hierarchy Process (AHP) is a Multi Criterion Decision Making (MCDM) Technique. It can handle any complex, multicriterion, and multiperson problems. In AHP, the problems are decomposed into a hierarchically structure and are given the weights according to its importance. Thus, the strength with which one alternative dominates another with respect to a given criterion can be identified. The output is a priority ranking indicating the overall preference for each decision alternative. This paper describes the application of AHP to select a geothermal prospect in Sulawesi Island to be developed in the near future. The alternatives consist of three geothermal prospects. i.e., Suwawa, Pulu, and Marana. Three major criteria are used and applied into those three prospects: Geoscience, Infrastructure, and Social-culture aspects. Under each of these major criteria, there are several subcriteria. Geoscience criterion which consists of Resources, Geothermal System, and Geological Risk Subcriteria is given the highest weight with the assumption that if resources are large and can be developed commercially, then there is no reason not to be exploited; the technology and other infrastructure aspects are no longer an obstacle. The result shows that Suwawa Prospect is the best option to be developed in the near future. The second option or rank is Marana Prospect, and the third is Pulu Prospect. This result is in agreement with the future plan of the development of Sulawesi Island. If the regulation and plan of development were suddenly changed, the goal of this AHP might not be appropriate anymore, and the second or third option might replace the first rank. The benefits of using AHP are (1) the facts and reasons behind the decision are well documented, (2) able to handle quantitative and qualitative inputs, (3) able to accommodate environmental, social and other influences, and (4) able to handle subjective judgments of individuals. Lessons learned from AHP application for geothermal prospect selection could be extended into multi criterion decision making at a group level.
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