Azmieti Kurnia Sinta
Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia

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Customer’s Loyalty Parameters of Sikorsky S76 Chartered Helicopter Arsya Nadira Syafiudin; Ika Utami Yulihapsari; Azmieti Kurnia Sinta; Salahudin Rafi; Jermanto Setia Kurniawan; Theresye Yoanyta Octora
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol 10, No 1 (2023): Maret
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v9i1.1067

Abstract

The study aims to determine the impact of the maintenance department and supporting facilities of PT. Pelita Air Service 2020 loyalty’s performance based on its customer’s satisfaction. The sample of 150 respondents from PT. Pelita Air Service’s Sikorsky S76 chartered Helicopter customers were obtained using quantitative descriptive method and purposive sampling using Slovin formula. SEM path analysis method and Smart Partial Least were used to test the validity and reliability of the data. Based on the findings, the performance of the Sikorsky S76 Helicopter’s maintenance department and chartered support facilities has a direct positive and significant impact on customer’s satisfaction and loyalty. The satisfaction factor has a direct positive and significant impact on customer’s loyalty. The customer’s satisfaction affects the performance of the maintenance department and the supporting facilities of the Sikorsky S76 chartered Helicopter at PT. Pelita Air Service 2020.
Unveiling Angkasa Pura Airport's Economic Efficiency Through DEA Analysis Azmieti Kurnia Sinta; Edi Abdurachman; Prasadja Ricardianto; Yuliantini Yuliantini
Dinasti International Journal of Education Management And Social Science Vol. 5 No. 4 (2024): Dinasti International Journal of Education Management and Social Science (April
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijemss.v5i4.2614

Abstract

This study aims to analyze the economic efficiency of airports in Angkasa Pura I, especially since the formation of the Tourism SOE holding in 2022 which changes airport operations. This study examines efficiency during the COVID-19 pandemic by introducing Air Traffic Movement (ATM), Air Passenger Movement (APM), and Air Cargo Movement (ACM) variables as output variables, which provide new insights that have not been explored before, especially the study in all Angkasa Pura I airports. This study uses quantitative research methods with non-parametric techniques to analyze efficiency and economies of scale in the aviation industry.  The analytical tool used is Data Envelopment Analysis (DEA) using STATA 17 software as the main tool to evaluate efficiency and economies of scale at 16 airports. The results revealed variations in the level of efficiency of economies of scale among airports, with some airports improving their efficiency in response to the pandemic. The study confirms the importance of effective management strategies, transparency in information dissemination, and continuous monitoring in shaping airports' economic efficiency.