THE DEVELOPMENT OF CAUSAL RELATIONSHIP MODEL ON AIRPORT CAPACITY OPTIMIZATION USING PROBABILISTIC NETWORK (CASE OF SOEKARNO-HATTA AIRPORT)

• Main Author: ANWAR (NIM : 34210002), FADRINSYAH
• Format: Dissertations
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/27074
• Institution: Institut Teknologi Bandung

Congestion problems occur in a large number of commercial airports in Indonesia. Soekarno-Hatta as the largest commercial airport in Indonesia have some congestion <br /> <br /> issues such as queue at the runway. The handling of the airport congestion problem can be classified into three types: construction / development of the airport, demand <br /> <br /> management and optimization of airport capacity. This study focused on the handling of airport congestion by optimizing airport capacity. The choice is based on the <br /> <br /> consideration that this way has several advantages such as not need large funds, issue the environmental impact is relatively small, and the process of the mitigation is <br /> <br /> faster. <br /> <br /> This research aims to study the relationship between the capacity optimalization for handling congestion at Soekarno Hatta airport with airport costs and airport <br /> <br /> performances, based on airport management perception. The development of conceptual framework of causal relationship model from capacity optimalization decisions made by using the Theory of Probabilistic Causality. The model is built <br /> <br /> based on the perception of the airport managers who are involved directly or indirectly in decision-making related to the airport capacity. The model is assumed to be able to capture the influence of factors that affect the air traffic demand on airport capacity needs, as well as the optimization of airport capacity towards the airport cost <br /> <br /> and airport performance. <br /> <br /> The research method is a quantitative method. The picture of the relationship between the variables using the concept of data mining, which is formed through the formation of hypotheses constructed models of causality. Determination of variables based on the theoretical framework and related previous study. <br /> <br /> The process of data collection is done through questionnaire. The sampling technique is purposive sampling. The respondents are managers / experts, who is associated with the preparation of the strategy and policy of airport capacity in Soekarno-Hatta, i.e the areas of planning, engineering / operations, business / commercial and financial / accounting. <br /> <br /> Data processing and analysis techniques using probabilistic networks or Bayesian Network. Formed probabilistic causality is described through probabilistic inference. The research results, in case of Soekarno-Hatta airport, showed that the capacity optimalization decision can increase the performance of the airport as well as increase the airport cost. Based on the effect analysis, the highest airport performance increase is SafetySecurity (&#916;high = 16.3%). While the highest airport cost increase is <br /> <br /> CapitalCost (&#916;high = 13.4%). Based on the sensitivity analysis, the capacity optimization factor that the most influence on improving the airport performance is Personil -> Profit (I=0,030), Gate -> Delay (I=0,033), Curbside -> tingkat pelayanan (LOS) (I=0,023), Curbside -> SafetySecurity (I=0.094). While capacity optimizing <br /> <br /> factor that the most influence on increasing airport cost are SecurityScreening -> StaffCost (I=0,026), SecurityScreening -> OpsMaintCost (I=0.007), Curbside -> <br /> <br /> CapitalCost (0,042). The results of the study, directly or indirectly, contribute to the development of theory, especially concerning the decision on the airport congestion mitigation issues.