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ANALISIS JUMLAH SPARE AUXILIARY POWER UNIT APS3200 UNTUK ARMADA PT XYZ BERDASARKAN JUMLAH PESAWAT AIRBUS A320 – 200 Radhix anang wahyudi; Ayu Martina; Freddy Franciscus
Jurnal Mahasiswa Dirgantara Vol. 5 No. 1 (2026): Jurnal Mahasiswa Dirgantara
Publisher : FTK UNSURYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35894/jmd.v5i1.126

Abstract

The Auxiliary Power Unit (APU) is a crucial component in commercial aircraft operations, primarily providing electrical power when the aircraft is not in operation. This study aims to determine the Mean Time Between Unscheduled Removal (MTBUR) of the APS3200 APU, estimate annual demand, and analyze the optimal spare quantity based on the fleet size of airline XYZ. The research methodology employs Weibull survival analysis using Minitab software to calculate MTBUR. Additionally, the estimation of spare unit requirements is based on MTBUR, annual demand, and re-supply time. The results indicate that the MTBUR of the APS3200 APU is 4,800 hours with a reliability level above 60%. Based on annual demand analysis, the recommended quantity for a fleet of 20 aircraft is 2 units per year. Furthermore, the recommended spare APU quantity varies depending on fleet size: 2 units for 20–30 aircraft, 3 units for 40–50 aircraft, 4 units for 60 aircraft, 5 units for 70–80 aircraft, and 6 units for 90 aircraft. These calculations allow airlines to optimize APU availability, enhance operational efficiency, ensure fleet reliability, and manage costs effectively within the aviation industry.
Simulation Of C-Check Maintenance Task Card Distribution Using Vogel's Approximation Method Ian Maccari De Carlini; Mufti Arifin; Ayu Martina
Performa: Media Ilmiah Teknik Industri Vol 24, No 1 (2025): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.24.1.85126

Abstract

Maintenance of an aircraft requires reliable and responsible manpower. Manpower and manhour are needed to perform scheduled and unscheduled maintenance. C-Check maintenance requires a long time for the aircraft to operate again. Therefore, it is necessary to optimize the task card in the maintenance personnel group based on the required task card manhour. Simulation of task card distribution is needed to find the optimum C-Check work group. The method in this study uses Vogel's Approximation Method (VAM) as the main calculation and Northwest Corner (NWC) as the comparison, where VAM and NWC are included in operations research. This study aims to simulate the distribution of C-Check maintenance task cards by adjusting the manhour of the personnel group and the manhour task card required so that the maintenance personnel group can perform the task optimally. The analysis results obtained are manhour requirements in the task card group as demand, the ability of each maintenance personnel group as supply, and the multiplying factor between actual and maintenance program as transportation costs. The results of the calculation of manhour distribution using the Vogel's approximation method (VAM) calculation obtained a total manhours of 724.5 manhours and for the northwest corner (NWC) calculation obtained a total manhours of 902.8 manhours. Thus, the VAM calculation results in cheaper manhour costs compared to the NWC calculation.
Analisis Faktor Sistemik Penyebab Loss of Control In-Flight Pada Kecelakaan Pesawat Udara di Indonesia Studi Kasus : Data Publish KNKT Rifki Firnando; Ayu Martina; Muhammad Hadi Widanto
Jurnal Mahasiswa Dirgantara Vol. 4 No. 2 (2025): Jurnal Mahasiswa Dirgantara
Publisher : FTK UNSURYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35894/jmd.v4i2.182

Abstract

Faktor sistemik merupakan defisiensi yang melekat pada desain, kebijakan, prosedur, atau budaya organisasi dan Loss of Control In-Flight (LOC-I) merupakan salah satu penyebab utama kecelakaan pesawat udara di Indonesia, yang memerlukan analisis mendalam terhadap faktor sistemik di baliknya. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor sistemik yang berkontribusi terhadap LOC-I dengan menggunakan dua model analisis, yaitu Swiss Cheese Model dan SHELL Model. Data diambil dari laporan investigasi kecelakaan yang dipublikasikan oleh Komite Nasional Keselamatan Transportasi (KNKT) periode 2010–2023. Metode penelitian yang digunakan adalah kualitatif deskriptif dengan pendekatan studi kasus, di mana faktor-faktor seperti human error, desain sistem, prosedur operasi, dan lingkungan dianalisis secara holistik. Hasil penelitian menunjukkan bahwa interaksi kegagalan pada berbagai lapisan pertahanan (latent failures dan active failures) dalam Swiss Cheese Model serta ketidaksesuaian dalam komponen Software, Hardware, Environment, Liveware (SHELL) menjadi pemicu utama LOC-I. Berdasarkan temuan tersebut, penelitian ini memberikan rekomendasi mitigasi berbasis sistem untuk regulator (Kemenhub, DGCA) berupa peningkatan Regulasi pelatihan Upset Prevention and Recovery Training dan penguatan Safety Oversight berbasis resiko, operator (maskapai penerbangan) berupa peningkatan Crew Resource Management (CRM) dan Peningkatan efektivitas pelatihan simulator berbasis data, dan stakeholder aviasi lainnya, termasuk peningkatan pelatihan human factors, optimasi safety management system (SMS), dan penguatan regulasi operasional. Implikasi penelitian ini diharapkan dapat mendukung upaya pencegahan kecelakaan serupa di masa depan.   Systemic factors are inherent deficiencies in design, policies, procedures, or organizational culture, and Loss of Control In-Flight (LOC-I) is a primary cause of aircraft accidents in Indonesia, which requires an in-depth analysis of the systemic factors behind it. This research aims to identify the systemic factors that contribute to LOC-I by using two analysis models: the Swiss Cheese Model and the SHELL Model. Data were taken from accident investigation reports published by the National Transportation Safety Committee (KNKT) for the period 2010–2023. The research method used is descriptive qualitative with a case study approach, wherein factors such as human error, system design, operating procedures, and the environment are analyzed holistically. The research findings indicate that the interaction of failures across various defense layers (latent failures and active failures) in the Swiss Cheese Model, as well as incompatibilities within the Software, Hardware, Environment, and Liveware (SHELL) components, are the primary triggers for LOC-I. Based on these findings, this research provides system-based mitigation recommendations for regulators (Ministry of Transportation, DGCA) in the form of enhancing Upset Prevention and Recovery Training regulations and strengthening risk-based Safety Oversight; for operators (airlines) in the form of improving Crew Resource Management (CRM) and increasing the effectiveness of data-driven simulator training; and for other aviation stakeholders, including enhancing human factors training, optimizing the Safety Management System (SMS), and strengthening operational regulations. The implications of this research are expected to support efforts to prevent similar accidents in the future.  
Analisis Insiden Drone PIXYZ RTK X-245 Skymagic pada Acara Drone Light Show Bundaran HI Tahun Baru 2025 Mochammad Rafihan Alrasyid; Ayu Martina; Budi Aji Warsiyanto
Jurnal Mahasiswa Dirgantara Vol. 4 No. 2 (2025): Jurnal Mahasiswa Dirgantara
Publisher : FTK UNSURYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35894/jmd.v4i2.190

Abstract

Insiden jatuhnya 22 unit drone PiXYZ RTK X-245 pada uji coba Drone Light Show di kawasan Bundaran Hotel Indonesia menjelang Tahun Baru 2025 menyoroti tantangan keselamatan operasi drone massal di wilayah urban padat. Lingkungan perkotaan dengan efek urban canyon dan kepadatan spektrum frekuensi meningkatkan risiko gangguan simultan pada sistem navigasi Real Time Kinematic (RTK) dan komunikasi Command and Control (C2), yang dapat memicu kegagalan sistem berantai. Penelitian ini bertujuan menganalisis akar penyebab insiden dari aspek teknis, manusia, prosedural, dan lingkungan, serta mengevaluasi keandalan sistem failsafe dan kesesuaian mitigasi risiko terhadap karakteristik operasi urban. Metode penelitian menggunakan pendekatan kualitatif deskriptif dengan Root Cause Analysis (RCA) berbasis diagram fishbone, didukung oleh laporan insiden operator, observasi regulator, dokumen mitigasi risiko, analisis teknis sistem, serta data meteorologi. Hasil analisis menunjukkan bahwa hilangnya RTK dan C2 secara bersamaan dipengaruhi oleh efek multipath GNSS dan interferensi frekuensi pita 2,4 GHz. Selain itu, sistem failsafe belum dilengkapi navigasi alternatif, logika pemulihan bertahap, maupun mekanisme override manual yang memadai. Dokumen mitigasi risiko juga belum mencantumkan analisis spektrum dan simulasi kehilangan sinyal massal yang kontekstual. Penelitian ini menyimpulkan bahwa desain failsafe dan mitigasi risiko yang ada belum memadai untuk operasi drone massal di wilayah urban, sehingga diperlukan pendekatan mitigasi adaptif yang selaras dengan regulasi nasional.   The crash of 22 PiXYZ RTK X-245 drones during a Drone Light Show rehearsal at Bundaran Hotel Indonesia prior to the 2025 New Year highlights critical safety challenges in large-scale drone operations within dense urban environments. Urban canyon effects and high radio-frequency congestion increase the risk of simultaneous degradation of Real Time Kinematic (RTK) navigation and Command and Control (C2) communication, potentially triggering cascading system failures. This study aims to analyze the root causes of the incident from technical, human, procedural, and environmental perspectives and to evaluate the reliability of the implemented failsafe system and the adequacy of risk mitigation measures for urban operations. A qualitative descriptive approach was applied using Root Cause Analysis (RCA) with a fishbone diagram, supported by operator incident reports, regulator observations, technical documentation, risk mitigation records, and meteorological data. The results indicate that concurrent RTK and C2 signal loss was primarily driven by GNSS multipath effects and severe interference in the 2.4 GHz frequency band. Furthermore, the failsafe system lacked alternative navigation capabilities, progressive recovery logic, and effective manual override mechanisms. Existing risk mitigation documents also failed to include spectrum analysis and mass signal-loss simulations tailored to urban conditions. This study concludes that current failsafe designs and mitigation strategies remain insufficient for safe large-scale drone operations in urban areas, emphasizing the need for adaptive, context-specific mitigation aligned with national regulations.