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Stochastic Modelling of Aircraft Ground Time at Soekarno-Hatta International Airport Harjono, Okky Sukmawati; Sembiring, Javensius; Pasaribu, Hisar Manongam
Warta Penelitian Perhubungan Vol. 35 No. 2 (2023): Warta Penelitian Perhubungan
Publisher : Sekretariat Badan Penelitian dan Pengembangan Perhubungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/warlit.v35i2.2312

Ground time plays an important role in keeping flight on-time performance and passenger smooth flow. It varies depending on the aircraft type, procedures, passenger number and/or cargo amount, maintenance requirements, and ground handling service quality. This research aims to explore the ground time distribution pattern at Soekarno-Hatta International Airport. The daily flight historical data is divided into several categories based on the airline’s service type for local airlines, the airline’s origin for foreign airlines, the type of flight, and aircraft size. Ground time data of each flight category is then fitted to all possible distribution types by using the Distribution Fitting app in Matlab. The best-fitted distribution definition uses the Kolmogorov-Smirnov test by comparing the p-value of each distribution. 6 distributions fit 20 flight categories. Almost all local airlines’ ground time except full-service carrier international flights and low-cost carrier international flights with wide-body aircraft fit to Burr distribution. Full-service carrier international flight with narrow and wide-body aircraft, international flight with narrow-body aircraft operated by airlines from China and other countries fit Generalized Extreme Value distribution. Low-cost carrier international flights with wide-body aircraft and private flights fit to Inverse Gaussian distribution. International flights with wide-body aircraft operated by airlines from Korea, Japan, and other countries airlines fit for Nakagami distribution. While the cargo flights fit t Location-Scale distribution for wide-body aircraft and Weibull distribution for narrow-body aircraft. Then the stochastic models are developed based on each flight category’s distribution parameters. These models are expected to be able to guide future research in ground time or apron capacity management as they provide the data distribution without more primary data needed.

A Statistical Review of European Carriers’ Flight Delays and the Assessment of Delay Factors Windusari, A.A. Ayu Diah; Pasaribu, Hisar Manongam
Warta Penelitian Perhubungan Vol. 35 No. 2 (2023): Warta Penelitian Perhubungan
Publisher : Sekretariat Badan Penelitian dan Pengembangan Perhubungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/warlit.v35i2.2313

Disruption is an inherent risk that might arise because of the complexity and dynamic nature of air transport operations. In the aviation business, disruption can happen for a variety of reasons, including poor weather, strikes, and political factors. This study aims to analyse flight delays that European airlines encounter and assess the dependencies between different operation parameters through correspondence analysis in contingency tables that are visually represented using correspondence maps. This study examined data from selected European airlines between 2018 and 2022, which contained information on the length of delay, the reasons associated with it, and the specific characteristics of each flight, such as the type of flight, the type of aircraft, and the scheduled departure time. The result showed that even though there was a large decrease in the overall number of flights operated during the pandemic period in 2020 and 2021, the percentage of delayed flights still varies above 55%. Long-haul flights and larger aircraft tend to have longer delays. Except for 2020 and 2021, the percentage of delayed flights for different lengths of delays and scheduled departure times did not significantly change across the review years. The evaluation reason for delay appeared to increase with time due to airport or authority restrictions, while there was a tendency for the number of delayed flights related to technical aircraft, equipment, and ground operations to decrease. By developing an analysis of the root causes of flight delays using case studies that have already been published by different researchers and determining the degree to which an operating parameter contributes, we may provide guidelines for future studies that will uncover ways to minimize flight delays.

Comparative Analysis of Aircraft Modification Processes: EASA, FAA, and DGCA Indonesia Ramadhanti, Nurfrida Nashira; Pasaribu, Hisar Manongam
Warta Penelitian Perhubungan Vol. 35 No. 2 (2023): Warta Penelitian Perhubungan
Publisher : Sekretariat Badan Penelitian dan Pengembangan Perhubungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/warlit.v35i2.2314

This study conducts a comparative analysis of aircraft modification certification processes within the aviation regulatory frameworks of the Federal Aviation Administration (FAA), the European Union Aviation Safety Agency (EASA), and the Directorate General of Civil Aviation (DGCA) in Indonesia. Using the TCAS 7.1 Software Updates modification on the A320-200 as a case study, the research explores Design Organization Approval (DOA) or Organization Designation Authorization (ODA) procedures. The findings reveal variations in Design Organization structures and certification processes, offering valuable insights for Indonesia's emerging aviation market. By adapting best practices from the FAA and EASA, the study aims to contribute to the enhancement of Indonesia's regulatory system, benefiting policymakers, regulators, and industry stakeholders.

Stochastic Modelling of Aircraft Ground Time at Soekarno-Hatta International Airport Harjono, Okky Sukmawati; Sembiring, Javensius; Pasaribu, Hisar Manongam
Warta Penelitian Perhubungan Vol. 35 No. 2 (2023): Warta Penelitian Perhubungan
Publisher : Sekretariat Badan Penelitian dan Pengembangan Perhubungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/warlit.v35i2.2312

Ground time plays an important role in keeping flight on-time performance and passenger smooth flow. It varies depending on the aircraft type, procedures, passenger number and/or cargo amount, maintenance requirements, and ground handling service quality. This research aims to explore the ground time distribution pattern at Soekarno-Hatta International Airport. The daily flight historical data is divided into several categories based on the airline’s service type for local airlines, the airline’s origin for foreign airlines, the type of flight, and aircraft size. Ground time data of each flight category is then fitted to all possible distribution types by using the Distribution Fitting app in Matlab. The best-fitted distribution definition uses the Kolmogorov-Smirnov test by comparing the p-value of each distribution. 6 distributions fit 20 flight categories. Almost all local airlines’ ground time except full-service carrier international flights and low-cost carrier international flights with wide-body aircraft fit to Burr distribution. Full-service carrier international flight with narrow and wide-body aircraft, international flight with narrow-body aircraft operated by airlines from China and other countries fit Generalized Extreme Value distribution. Low-cost carrier international flights with wide-body aircraft and private flights fit to Inverse Gaussian distribution. International flights with wide-body aircraft operated by airlines from Korea, Japan, and other countries airlines fit for Nakagami distribution. While the cargo flights fit t Location-Scale distribution for wide-body aircraft and Weibull distribution for narrow-body aircraft. Then the stochastic models are developed based on each flight category’s distribution parameters. These models are expected to be able to guide future research in ground time or apron capacity management as they provide the data distribution without more primary data needed.

A Statistical Review of European Carriers’ Flight Delays and the Assessment of Delay Factors Windusari, A.A. Ayu Diah; Pasaribu, Hisar Manongam
Warta Penelitian Perhubungan Vol. 35 No. 2 (2023): Warta Penelitian Perhubungan
Publisher : Sekretariat Badan Penelitian dan Pengembangan Perhubungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/warlit.v35i2.2313

Disruption is an inherent risk that might arise because of the complexity and dynamic nature of air transport operations. In the aviation business, disruption can happen for a variety of reasons, including poor weather, strikes, and political factors. This study aims to analyse flight delays that European airlines encounter and assess the dependencies between different operation parameters through correspondence analysis in contingency tables that are visually represented using correspondence maps. This study examined data from selected European airlines between 2018 and 2022, which contained information on the length of delay, the reasons associated with it, and the specific characteristics of each flight, such as the type of flight, the type of aircraft, and the scheduled departure time. The result showed that even though there was a large decrease in the overall number of flights operated during the pandemic period in 2020 and 2021, the percentage of delayed flights still varies above 55%. Long-haul flights and larger aircraft tend to have longer delays. Except for 2020 and 2021, the percentage of delayed flights for different lengths of delays and scheduled departure times did not significantly change across the review years. The evaluation reason for delay appeared to increase with time due to airport or authority restrictions, while there was a tendency for the number of delayed flights related to technical aircraft, equipment, and ground operations to decrease. By developing an analysis of the root causes of flight delays using case studies that have already been published by different researchers and determining the degree to which an operating parameter contributes, we may provide guidelines for future studies that will uncover ways to minimize flight delays.

Comparative Analysis of Aircraft Modification Processes: EASA, FAA, and DGCA Indonesia Ramadhanti, Nurfrida Nashira; Pasaribu, Hisar Manongam
Warta Penelitian Perhubungan Vol. 35 No. 2 (2023): Warta Penelitian Perhubungan
Publisher : Sekretariat Badan Penelitian dan Pengembangan Perhubungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/warlit.v35i2.2314

This study conducts a comparative analysis of aircraft modification certification processes within the aviation regulatory frameworks of the Federal Aviation Administration (FAA), the European Union Aviation Safety Agency (EASA), and the Directorate General of Civil Aviation (DGCA) in Indonesia. Using the TCAS 7.1 Software Updates modification on the A320-200 as a case study, the research explores Design Organization Approval (DOA) or Organization Designation Authorization (ODA) procedures. The findings reveal variations in Design Organization structures and certification processes, offering valuable insights for Indonesia's emerging aviation market. By adapting best practices from the FAA and EASA, the study aims to contribute to the enhancement of Indonesia's regulatory system, benefiting policymakers, regulators, and industry stakeholders.

Model-Based Systems Engineering Capabilities to Connect Descriptive and Analytic Model: Case Studies Hybrid Propulsion of Electric Aircraft Zulkarnain, Muhammad Fikri; Nurprasetio, Ignatius Pulung; Mulyanto, Taufiq; Pasaribu, Hisar Manongam
Indonesian Journal of Aerospace Vol. 22 No. 1 (2024): Indonesian Journal Of Aerospace
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/ijoa.2024.2787

Model-based Systems Engineering (MBSE) is a system development framework that utilizes the formalization of modeling to support systems engineering processes beginning early in the system development stage. This research aim is to explore and evaluate the implementation of the MBSE tool chain, especially in descriptive-analytic capabilities, traceability, ease of design customizations, and ease of making changes. MBSE processes, including requirements definition, functional decomposition, physical decomposition (architecture), and analysis were performed using a case study. The case study is the design and analysis of several hybrid propulsion configurations for electric aircraft. The ease of change and modification is shown by the process of adding, removing, and rerouting system elements and connections to modify from one configuration to another. Analysis has been performed by modeling the analysis context via the SysML Block Diagram, the interconnection of value via the SysML Parametric Diagram, and the calculation and results via the Cameo Instance Table. The result of the proposed propulsion model in SysML for full electric configuration has similar results to reference, while the results for hybrid propulsion have similar trends compared to other studies without MBSE. The method to compare analysis results and requirements with Measure of Performances (MoPs) as mediators has been proposed and performed

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