Pengaruh Pengawasan Dan Pelayanan Fasilitas Baggage Handling System (BHS) Terhadap Tingkat Kepuasan Penumpang Garuda Airline Di Terminal 3 Bandara Soekarno-Hatta

This study aims to identify the impact of service quality on passengers’ satisfaction at Terminal 3 of Soekarno-Hatta Airport. Particularly, this study included a question on how the supervision and service of the Baggage Handling System (BHS) affects the satisfaction of Garuda Indonesia Airlines passengers at Terminal 3 of Soekarno-Hatta Airport. This study applied a survey using a questionnaire started from 12 February 2021 at 07:59:35 p.m. to 20 February 2021 at 10:41:52 p.m., which collected part of the whole data. In addition, this study employed a quantitative associative method. The survey involved 404 Garuda Indonesia passengers at Terminal 3 as the samples. The data were collected through observation and questionnaires distribution. This survey applied a non-stochastic sampling method with an intentional sampling method. In this study, we analyzed the data using simple linear regression. Based on the scores obtained from the survey results, there was a significant impact of the supervision and service of Baggage Handling System (BHS) on the satisfaction of Garuda Airline passengers at Terminal 3 of Soekarno-Hatta Airport, with a correlation coefficient of 0.764 and an error rate of 5%. This result indicated that the operational status of passengers’ satisfaction on BHS remained relevant with passengers’ expectations, and passengers’ satisfaction on BHS operation at Terminal 3 has fulfilled their current needs. In conclusion, the impact level of supervision and service of the Baggage Handling System (BHS) on passengers’ satisfaction amounted to 96.5%, while the rest, 3.5%, was influenced by other factors

The Implementation of Micro, Small, and Medium Enterprises (UMKM) Policy in Makassar Based On Bromley Model

Abstract—The success of the national development is not solely determined by the economic growth, but also by theability to formulate and establish a fair and conducive public policy for the empowerment of MSMEs. The purpose of this research was to investigate the implementation of MSME empowerment program based on the Bromley Model that is the implementation in policy level, organizational level, and operational level hierarchy. This qualitative descriptive research was conducted in Mariso, Makassar focusing on the implementation of MSME empowerment program policy inthat city. Through observation and interviews, primary and secondary data were collected. The results showed that the Micro Small and Medium Enterprises empowerment policy in Makassar at the policy and organization level has been described and implemented based on Bromley model. Whilethe operational level has not been run in accordance with the Bromley model. This is because the empowerment in the potential resources for small entrepreneurs, technology development, and marketing field is still low, so the policy at the operational level is necessary to be capable of providing comprehensive solutions to the empowerment of SMEs, especially for small businesses in Makassar. Keywords—the policy Implementation, empowerment, SME

A discrete event simulation model for inbound baggage handling

Abstract Inbound baggage handling represents a crucial process among airport terminal's activities as it affects directly airport performance and passengers' service quality perception. It is important to make the inbound process as efficient as possible and to explore solutions to enhance the performance of the system, thus reducing passengers' waiting time at baggage carousels. The aim of this paper is to present a detailed discrete event model of inbound baggage handling at a large regional Italian airport. The simulation model allows to fully understand the whole process and to identify bottlenecks and critical operations. The model is validated by comparing the simulation results with real data

Flight delays in Germany: a model for evaluation of future cost risk

Air traffic has been increasing in Germany over the last decades reaching in 2018 an all-time high with more than 3 million flights. This increase has led to a rise in delays, which generate different costs to airlines, passengers, and Air Navigation Service Providers. This paper focuses on understanding and predicting these costs. For this purpose, a stochastic modelling method is proposed to estimate future air traffic, delays and the cost of future delays. The model allows to better understand what the full distribution of the delay costs may look like. To that end, the paper analyses 1,826 daily items (from 1/1/2014 to 12/31/2018) with information of air traffic and delays for German airspace. Findings suggest that overall mean delay costs for 2019 may be up to 280 million €, while in the 5% worst cases this value could go up to an average of 319 million €. © 2022 Luis Mª Abadie, Ibon Galarraga, Itziar Ruiz-Gauna.This research is supported by the Basque Government through the BERC 2018-2021 program and by the Spanish Ministry of Economy and Competitiveness MINECO through BC3 María de Maeztu excellence accreditation MDM-2017-0714

Airport service performance at Abu Dhabi International Airport

To acquire a significant footing in today’s competitive airport environments, enhancing airport service performance for passengers is essential. This study aims to investigate the relationship between queuing time, prime services, security screening, and service performance at Abu Dhabi International Airport in the United Arab Emirates (UAE). A quantitative methodology was employed. The sample size for the PLS-SEM analysis and the passengers’ airport service performance was determined to be 230 respondents. The results revealed a significant relationship between queuing time, prime services, security screening, and airport service performance. The findings also demonstrated a significant positive relationship between queuing time and airport service performance (β = 0.193, t = 3.564, p ≤ 0.000), a significant positive relationship between prime services and airport service performance (β = 0.478, t = 9.225, p ≤ 0.000), and a significant positive relationship between security screening and airport service performance (β= 0.227, t = 4.196, p ≤ 0.000). The outcomes are anticipated to support Abu Dhabi International Airport management in making efficient processes to augment airport service accomplishment for passengers from UAE and different countries

A Simulation Study on Baggage Screening at San Luis Obispo County Regional Airport

Efficient passenger flow is a crucial objective at both small and larger airports. One central part of this is the handling of checked luggage which is influenced by necessary security screening. Within this thesis, these processes are studied at San Luis Obispo County Regional Airport. The underlying problem of the airport is its outbound luggage system which was already suffering from delays prior to Covid-19. Delays were never measured and the bottleneck responsible for them was never identified. However, expected growth in passenger and flight volume necessitates to predict when customer dissatisfaction and extensive luggage delays are inevitable, given that the airport does not plan to change the baggage screening system in the near future. In order to understand the dependencies within said system, process flowcharts for baggage-related activities are defined and translated into a simulation model. After model verification and validation, scenarios of expanding the flight schedule during different times of the day are tested while monitoring the number of bags failing to be loaded into the respective aircraft in time. Further scenarios of model adjustments are used to monitor how the number of missed bags changes while maintaining an expanded flight schedule. Model adjustments were made by changing single parameters such as the scan time or single resources each. Simulation experiments have shown that the number of additional flights that can be added to the flight schedule of February 2020 depend on the time of the day. For instance, the current outbound luggage conveyor system’s capacity is sufficient to cover 1 additional early morning flight, and up to 3 afternoon flights. Experiments with model parameter adjustments led to identifying the luggage scanner as the bottleneck of the luggage system, whereas other tested parameter adjustments showed to have minimal impact on the number of missed bags. Since the model’s flight plan can be conveniently adjusted in the connected Excel database, the model could be used as a tactical decision tool for capacity analysis

A simulation approach to modelling baggage handling systems at an international airport

The baggage handling system is a critical component of an airport's operations, coordinating many different elements and agents in different areas of the facility. Due to the complexity of their interrelationships, an effective analysis of the impact of different operating strategies on the system must consider these elements and agents not in isolation from each other but rather as an integrated whole. This paper presents a microscopic simulation model for a baggage handling system that fully integrates all baggage-related subsystems. These include passenger arrival to check-in queues, baggage check-in, security screening, sorting, transport to the aircraft and loading. Under this approach, not only the individual subsystems but also their interactions can be simulated and studied. The proposed simulator is applied to the case of Santiago International Airport in Chile where passenger demand has grown beyond the existing baggage handling system's operating capacity. The principal contributions of this study are the extension and adaptation of a vehicle traffic simulator software to the baggage handling problem and the development of a platform that models baggage handling as an integrated unit. The tool is applied to the analysis of the overall system and its components under a number of different real-world scenarios. In this application, the movement of bags and their interactions with the rest of the system are simulated in great detail for a given period. This level of granularity permits the simulator to analyse accurately the effects of different scenarios and how they are propagated through the system

Framework development for improving arrival processing of pilgrims at Hajj and Umrah airport terminals

Millions of Muslims around the world perform the Hajj, a mandatory religious journey to the holy city of Mecca, at least once in their lifetime. Therefore, hundreds of thousands of pilgrims arrive weekly at Jeddah and Medina Airports during the Hajj period determined by the Islamic calendar. Numerous research studies have been published on the health, security, risk management and logistics aspects of the mass gathering. However, studies on pilgrims’ wait times, flow and satisfaction at the Hajj and Umrah Terminals (HT)s are very limited. The research evaluating the inbound passenger domain is especially limited. Therefore, this study contributes to the literature by combining different perspectives regarding the inefficiency of HT processes. Furthermore, this study proposes and investigates various aspects to improve the processing of arriving passengers at HTs. It does so by identifying and studying the factors that impede the flow of passengers within these terminals from users’ and providers’ perspectives. This research aims to contribute by developing an innovative integrated framework to improve the flow of pilgrims through arrival terminals and determining how large crowds at airports can be better managed. To meet the study’s aims, a simulation model is developed to verify and confirm the performance of arrival passenger processes at HTs by conducting a mixedmethods analysis and integrating the numerical results of the agent-based and discrete-event simulation models. This study creates a problematic review matrix based on users’ and providers’ perspectives. In addition, the survey on providers’ perspectives indicates that there are five factors, human, infrastructure, operational, technical and organisational factors, influencing arrival passenger processes at HTs and interacting with level of service (LoS) variables. The study indicates the suboptimal processes at airport terminals to focus on the factors negatively affecting the HT processes. In addition, the research highlights the role of terminal configurations. This study compares two airports in terms of peak demand patterns. According to the study, sharp peaks can have strong negative impacts on HTs, while evenly distributed demand can improve LoS at HTs. The simulation model outcomes verify and confirm the parameters and factors influencing LoS. In addition, the study’s integrated framework provides diverse viewpoints on the operational processes at HTs, while the density map matrix helps to classify the processes. This study applies what-if scenarios to identify the impact of pilgrims’ experience and biometric characteristics and finds that inexperience and certain biometric characteristics have negative impacts on LoS. Limitations of the study and suggestions for future research are discussed.Transport System