The airport as flight network node is the starting point and the end of the movement of people/goods. The airport can also be a transit point before continuing the journey to the destination. The closure of the airport due to force majeure such as a disaster or terrorism may disrupt the national air transportation network. The effects of the closure of an airport to the national air transportation network depends on the level of connectivity of the airport. This study aimed to quantify the connectivity between two airports in the national air transportation network. Based on the connectivity data, it can be determined that appropriate mitigation strategies during an airport closure due to force majeure.

The need for movement always causes problems, especially when humans go to the same destination in a certain area at the same time. It is needed to do the analysis of the distribution of aircraft passenger movement in order to provide the required facilities in the future. This research model the distribution of aircraft passenger movements on Java Island using the Double Constrain Gravity model(DGCR) with the negative exponential, rank and tanner obstacle function. In this case, it is found that the Double Constrain Gravity Model (DGCR) with tanner obstacle function is the best mesthod due to the smallest standard deviation. It could be concluded that the DCGR model with tanner obstacle functions is more accurate when compared to the DCGR model with other obstacle functions in estimating the movement distribution in 2025 on Java Island.

PKP-PK is a unit that must be owned by every airport. This unit is tasked with carrying out aviation accident rescue and fire fighting in the area or around the airport. Seeing the importance of this unit, it is necessary to conduct research on emergency service facilities, find out the reaction time, analyze PKP-PK categories, analyze fire risk management, and the development of this unit. This research was conducted at the PKP-PK unit located at Bayuwangi International Airport. The research method used is descriptive quantitative where data is obtained from the results of questionnaires given to PKP-PK personnel. These data are then compared with Regulation Nomor KP 14 Tahun 2015 which is used to assess the readiness of the PKP-PK. Whereas for risk mapping using the FAA Risk Matrix table. The results show that there is still a shortage of operational facilities while the reaction time and PKP-PK categories are in accordance with regulations. Risk mapping obtains 4 events that have a potential hazard.

The movement needs that always increases will cause some problems, especially people are heading to the same destination of the certain area at the same time. To reduce the problems caused by the increase in the number of movements, it is necessary to analyze the future distribution of aircraft passenger movements. The research model is the distribution of aircraft passenger movements in Java Island using the Furness model. In this case, it is found that the Furness model is the best method because have a standard deviation and mean absolute percentage error to the smallest. It could be concluded that the Furness model is more accurate when compared to the Gravity Model (DGCR) with tanner obstacle function in estimating the distribution of movements in 2025 in Java Island

Good and efficient Air cargo handling, especially for dangerous goods transportation need to be supported by licensed dangerous goods handling personnel and supported by the transport handling facilities as well as standard procedure. Comprehensive standards and procedures are required to reduce the risk of accidents caused by an error in the handling of the dangerous goods transportation. Main problems in this study: first, to analyse the process of air cargo transportation handling at the Adisutjipto Airport; second, to analyse the standard of the dangerous goods handling personel. The cargo handling process consists of Outgoing (Acceptance, weighing, Documentation, Marking & labeling, X-ray, Storage, Build-up, and Loading) and Incoming (Check Incoming Massage, Unloading, Breakdown, check lists, Physical Examination, Storage, Notice of Arrival, Delivered). The mathematical model of Dangerous Goods Handling Personnel Number Standard: DG Personel Cargo Agent Type A = c.% DG. (2,89 x 10^-2) DG Personnel Warehousing Type B = c.% DG (4,53 x 106-3), DG Personnel Airline Type B = c.%DG. (4,89 X 10^-4).