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ANALISIS STRATEGI DAN FEASIBILITY PENGEMBANGAN MRO PEMELIHARAAN ENGINE DI INDONESIA Franciscus, Freddy; Utama, Ericko Chandra
JTK: JURNAL TEKNOLOGI KEDIRGANTARAAN Vol 5, No 1 (2020): Jurnal Teknologi Kedirgantaraan
Publisher : JTK: JURNAL TEKNOLOGI KEDIRGANTARAAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (838.257 KB) | DOI: 10.35894/jtk.v5i1.425

Abstract

Bisnis pemeliharaan pesawat terbang di Indonesia masih sangat menarik sejalan dengan pertumbuhan jumlah pesawat terbang yang dimiliki maskapai domestik. Sekitar 65% porsi biaya pemeliharaan pesawat terbang milik maskapai domestik belum terserap MRO Indonesia. Sebagian besar porsi yang belum terserap tersebut adalah klaster pemeliharaan engine dan komponen pesawat terbang, dimana hanya terserap sekitar 10% (USD 100 Juta) dari 75% (USD 750 Juta Th 2017) biaya pemeliharaan engine (35%) dan komponen (45%) pesawat terbang yang dikeluarkan oleh maskapai Indonesia. Dari serapan 10% biaya pemeliharaan engine dan komponen tersebut porsi serapan biaya pemeliharaan engine saja hanya 5% (USD 50 Juta) dari 35% (USD 350 Juta) biaya pemeliharaan engine. Masih ada sekitar 30% (USD 300 Juta) yang merupakan peluang MRO Indonesia untuk mengembangkan capability pemeliharaan engine milik maskapai Indonesia. Dari beberapa tipe engine yang ada di maskapai Indonesia, CFM56-7B yang dipakai pesawat B737-800/900 mempunyai populasi terbanyak yaitu sekitar 450 engine. Hasil analisa feasibility terhadap pengembangan capability MRO engine untuk pemeliharaan CFM56-7B diperoleh hitungan ROI dan Pay Back Periodprogram pengembangan capability engine tersebut masing-masing adalah 24,57% dan 4.4 tahun dan nilai tersebut menunjukkan bahwa strategi pengembangan MRO engine CFM56-7B tersebut feasible.
Analisis Penentuan Komposisi Optimum Kargo Dan Pax Pesawat Boeing 787 - 8 Dan Airbus 330 – 900 Pada Rute Jakarta – Dubai Menggunakan Optimasi Linear Programming Fernando Fransiskus Rotty; Freddy Franciscus; Ericko Chandra
Jurnal Teknologi Kedirgantaraan Vol 6 No 2 (2021): Jurnal Teknologi Kedirgantaraan
Publisher : FTK UNSURYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (470.839 KB) | DOI: 10.35894/jtk.v6i2.37

Abstract

Abstract - The need for airplanes is increasing every day, this is due to the increasing number of passengers and cargo shipments from one area to another. Therefore, airlines need to provide optimal, safe, and efficient cargo and passenger transportation services so that the delivery of goods and passengers can run according to correct procedures. Opportunities in the business of transporting passengers and shipping cargo must be utilized properly by each airline by purchasing planes so that the shipping process from one area to another can quickly arrive at its destination. The purpose of this paper is to find the optimum value of the two aircraft between the Boeing 787-8 and the Airbus 330-900 in terms of the effect on the range, operational costs and to find out which aircraft is more profitable for operating costs on the Jakarta - Dubai route, using linear optimization. programming. Based on the results of the analysis that the optimum point for the calculation of linear programming optimization, the Boeing 787-8 aircraft obtained results (Max payload 41,075 kg, Fuel 6,657 kg, Max Fuel 101,323 kg) where these three results become a limitation for airlines to know the maximum usage of payload and fuel compared Airbus 330-900 aircraft obtained results at the point (Max payload 45,000 kg, Fuel 4,728 kg, Max Fuel 111,272 kg) so that the optimization results are obtained, for Boeing 787-8 aircraft with a max payload of 41,075 kg, max pax 359, max cargo 15,945 kg , compared to Airbus 330-900 with a max payload of 45,000 kg, max pax 460, max cargo 12,800 kg, so it can be concluded that the results of linear programming optimization and the calculation of the operational costs of the Boeing 787-8 aircraft are more optimal with a figure of Rp. 1,541,334,803.96 but in terms of revenue the Airbus 330-900 is bigger than the Boeing 787-8.
PENGUKURAN TINGKAT KEBISINGAN PESAWAT CASA 212-200 SAAT GROUND RUN TEST BERDASARKAN VARIASI SUDUT Adam Wahyu Saputra Adam; Mufti Arifin; Ericko Chandra Utama
Jurnal Teknologi Kedirgantaraan Vol 8 No 1 (2023): Jurnal Teknologi Kedirgantaraan
Publisher : FTK UNSURYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35894/jtk.v8i1.70

Abstract

Noise is an unwanted sound, including sound that as a result of side effects from activities such as industrial and transportation activities. The greatest intensity of noise in the aircraft maintenance hangar environment is produced by the operation of the aircraft engine when it is ground or what is often called the Aircraft Ground Run Test. An This study was conducted by taking samples using CASA 212-200 aircraft equipped with a turboprop engine type. The measurement of noise generated by aircraft activity is measured using a tool such as the AS804 Sound Level Meter. This study aims to determine the intensity of aircraft noise when conducting a ground run test which is measured based on variations in the angle of measurement location to the source with a distance of 30 m based on an angular reference of 0o in front of the aircraft nose and 180o is behind the aircraft with a clockwise rotation. The measurement of noise levels is based on three references, namely LAmax, LAmin and LAeq. At idle the variation in the direction of the noise receiver which has the potential to produce the largest LAmax value at an angle (30o) of 97 dB. The lowest LAmin at an angle (180o) and (210o) of 84.6 dB. The largest LAeq at an angle (330o) of 95.3 dB. At the time of max power the variation in the direction of the noise receiver which has the largest potential LAmax value at an angle (45o) of 99.1 dB, the lowest LAmin at an angle (135o) of 94.8 dB. The highest LAeq at an angle (45o) of 97.8 dB.
Analisis Tingkat Kebisingan Pesawat Saat Take-Off Berdasarkan Variasi Tinggi Lintasan di Bandara Halim Perdanakusuma Arindho Andrifa Faturrohman; Mufti Arifin; Ericko Chandra Utama
Jurnal Teknologi Kedirgantaraan Vol 9 No 1 (2024): Jurnal Teknologi Kedirgantaraan
Publisher : FTK UNSURYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35894/jtk.v9i1.97

Abstract

An increase in flight frequency can have a negative impact on the surrounding environment, one of which is high noise levels. Noise can come from full activity, runway stay, movement towards the runway, or aircraft engine testing. Airplane noise during take-off is one of the environmental problems that need attention at airports. The height of the aircraft's trajectory during take-off can affect the noise level generated by the aircraft, but not much research has been conducted to measure the impact of variations in the height of the disturbance on the noise level of aircraft at Halim Perdanakusuma Airport. This study aims to measure the noise level of aircraft during take-off with variations in track height at Halim Perdanakusuma Airport. The method used in this study is to observe 4 aircraft taking off at Halim Perdanakusuma Airport with a research time of 3 days, and the measuring instrument used is a sound level meter. Sound level meters measure noise in dBA units between 30 and 130 dB at a frequency of 20 to 20.000 Hz. Based on the calculation and measurement results obtained, it is known that the maximum height when the measurement is on the second day is at point A of 277 meters, while at point B is 299 meters. While the highestnoise measurement at point A is 93,1 dB while at point B it is 91,5 dB. The measured noise value based on calculations is estimated at 66,2 dB and is still below the Airbus A320 aircraft noise certification for flyover takeoff of 73,7 dB.
Pelatihan Penyusunan Modul Praktikum Fisika Pada Guru SMK Gutama Jakarta dengan Memanfaatkan Artificial Intelligence Sari, Rafika Arum; Mufti Arifin; Syarifah Fairuza; Ade Julizar; Ericko Chandra Utama
Jurnal Bakti Dirgantara Vol. 2 No. 1 (2025): Jurnal Bakti Dirgantara
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/h7saky24

Abstract

Peningkatan kualitas pembelajaran sains di Sekolah Menengah Kejuruan (SMK) merupakan tantangan yang mendesak, terutama dalam pengembangan modul praktikum yang relevan dan aplikatif. Kegiatan Pengabdian Kepada Masyarakat (PKM) ini dilaksanakan oleh Program Studi Teknik Penerbangan Universitas Dirgantara Marsekal Suryadarma sebagai respons terhadap kebutuhan guru dalam menyusun modul fisika yang inovatif dan sesuai dengan perkembangan teknologi. Tujuan dari PKM ini adalah memberikan pelatihan kepada guru-guru SMK Gutama Jakarta untuk menyusun modul praktikum fisika secara mandiri dengan memanfaatkan kecerdasan buatan (AI), khususnya melalui pemanfaatan ChatGPT. Kegiatan dilaksanakan pada bulan Desember 2024 dan diikuti oleh 7 guru bidang sains. Metode yang digunakan meliputi survei awal untuk pemetaan kebutuhan, pemaparan materi tentang pemanfaatan AI dalam pendidikan, serta praktik langsung penyusunan modul bertema kesetimbangan gaya dengan bimbingan instruktur. Hasil evaluasi melalui angket menunjukkan bahwa 66,7% peserta memberikan respon yang sangat positif terhadap pelatihan ini. Temuan ini menunjukkan bahwa teknologi AI, seperti ChatGPT, dapat menjadi solusi praktis dan efektif dalam mendukung guru menyusun modul praktikum yang kontekstual dan sesuai kebutuhan pembelajaran di lapangan.   Improving the quality of science education in vocational high schools (SMK) remains an urgent challenge, particularly in the development of relevant and applicable practicum modules. This community service program (PKM) was conducted by the Aeronautical Engineering Study Program at Universitas Dirgantara Marsekal Suryadarma in response to the need for teachers to independently develop innovative physics practicum modules aligned with current technological advancements. The primary objective of this PKM was to train science teachers at SMK Gutama Jakarta in utilizing artificial intelligence (AI), specifically ChatGPT, for the independent development of physics practicum modules. The activity was conducted in December 2024 and involved seven science teachers. The method included a preliminary needs assessment survey, presentation of AI applications in education, and hands-on practice in developing a practicum module on the topic of force equilibrium, guided by instructors. Evaluation results obtained through post-training questionnaires revealed that 66.7% of participants responded very positively to the training. These findings indicate that AI-based tools, such as ChatGPT, can serve as practical and effective solutions for assisting teachers in creating contextual and field-relevant practicum modules.
Analisis Strategi Dan Feasibility Pengembangan MRO Pemeliharaan Engine Di Indonesia Freddy Franciscus; Ericko Chandra Utama
Jurnal Teknologi Kedirgantaraan Vol 5 No 1 (2020): Jurnal Teknologi Kedirgantaraan
Publisher : FTK UNSURYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35894/jtk.v5i1.282

Abstract

The aircraft maintenance business in Indonesia is still very attractive along with increasing number of aircraft on Indonesia airlines. As much as 65% of the aircraft maintenance costs of domestic airlines that have not been absorbed by MRO Indonesia. Most of the unabsorbed portions are aircraft engine and component maintenance clusters which only absorb about 10% (USD 100 Million) of 75% (USD 750 Million Th 2017) engine maintenance costs (35%) and aircraft components (45%), issued by Indonesian airlines. From the 10% uptake of engine maintenance costs and components, the portion of engine maintenance maintenance uptake is only 5% (USD 50 Million) of 35% (USD 350 Million) engine maintenance costs. There is still around 30% (USD 300 Million) which is an opportunity for MRO Indonesia to develop the engine maintenance capability of Indonesian airlines. Based on several types of aircraft engines in Indonesian airlines, CFM56-7B used by B737-800/900 which has the largest population of around 450 engines. From the feasibility analysis on the development of the capability of the MRO engine for maintenance of the CFM56-7B, the ROI and Pay Back Period / PBP calculations for the capability engine development program are 24.57% and 4.4 years respectively. The ROI and PBP show that the CFM56-7B MRO engine development strategy is feasible.