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Data Mining pada Data Quick Access Recorder untuk Peningkatan Keselamatan Penerbangan Mahardi Sadono; Javensius Sembiring
WARTA ARDHIA Vol 43, No 1 (2017)
Publisher : Research and Development Agency of The Ministry of Transportation

Keberadaan angin vertikal dan kekasaran permukaan landasan merupakanan parameter yang perlu diperhatikan terutama saat fase pendekatan (approach) hinggamendarat (landing)dan saat lepas landas (take-off) di bandar udara, karenakedua parameterdi atasmempengaruhi keselamatanpesawat udarasaat fase tersebut. Sementara itu,sampai saat ini belum ada peralatan yang dapat dipergunakan untuk melihat kecenderungan adanya angin vertikal maupun rendahnya koefisen gesek landasan. Makalah ini memaparkan teknik pengolahan data Quick Access Recorderuntuk mengestimasi parameter tersebut, kecepatan angin arah vertikal pada fase pendekatan sampai fase landingdan koefisien friksi runwaypada fase landing. Oleh karena kedua parameter di atas tidak direkam pada Quick Access Recorder maka diperlukan cara lain untuk mendapatkan parameter tersebut yaitu dengan teknik identifikasi sistem. Proses validasi dalam rangka meningkatkan keyakinan terhadap parameter yang diperoleh juga akan dilakukan. Teknik pengolahan data yang dipaparkan melibatkan dinamika gerak pesawat udara dan estimator. Bila semua airline memberikan data penerbangannya, tendensi keadanya angin vertikal dan penurunan koefisien friksi landasan akan segera didapatkan sehingga baik airline maupun bandar udara dapat melakukan antisipasi untuk keselamatan penerbangan. [The Data Mining on Quick Access Recorder for Flight Safety Improvement] Vertical wind and runway surface roughness are the most concerned parameters when the aircraft initiating the procedures of approach-to-landing and take-off at an airport, due to they will affect the safety of the aircraft in those phases. In the meantime, there is no equipment that can be used to assess the chance of vertical wind emergence as well as the decline of runway surface friction. This paper describes Quick Access Recoder data processing technique for estimating those parameters, the speed of vertical wind in the approach-to-landing phase and runway friction coefficient in the landing phase. Due to those parameters does not recorded in Quick Access Recorder then system identification technique is utilized in order to obtain both of parameters. Validation process is sequenced to increase the confidence level. The described data processing technique involving the aircrafts motion dynamics and the estimator. In case all the airline provide their flight data, the tendency of vertical wind and the difference of runway friction can be calculated promptly so that the airline and the airport can take anticipation action for maintaining the safety level of the flight.

Kajian Mitigasi Dampak Lingkungan Akibat Operasi Bandar Udara dan Pengaruh Lingkungan Terhadap Operasi Bandar Udara Bali Baru Mahardi Sadono; Javensius Sembiring; Mohamad Hasan Bashory; Rully Medianto; Toto Indriyanto; Hari Muhammad
WARTA ARDHIA Vol 47, No 2 (2021)
Publisher : Research and Development Agency of The Ministry of Transportation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/wa.v47i2.415.125-138

Penelitian ini membahas mengenai kajian mitigasi dampak lingkungan akibat operasi bandar udara dan pegaruh lingkungan terhadap operasi Bandara Bali Baru di provinsi Bali. Berdasarkan data yang diperoleh, kajian ini lebih banyak menekankan kepada aspek kualitatifnya. Kajian mitigasi dampak lingkungan akibat operasi bandar udara dilakukan dengan melihat aspek-aspek seperti tingkat pencemaran yang ditimbulkan baik pencemaran udara, suara, dan air serta terjadinya fragmentasi lingkungan di sekitar bandara akibat pembangunan dan pengoperasian bandar udara. Sedangkan dari sisi pengaruh lingkungan terhadap pengoperasian bandar udara, hal yang dikaji meliputi gangguan seperti bird strike serta masuknya hewan mamalia ke daerah operasi bandar udara. Identifikasi masalah-masalah yang ditimbulkan ini kemudian ditindaklanjuti dengan memberikan alternatif tindakan mitigasi agar dampak yang ditimbulkan dapat diminimalkan sehingga operasi bandar udara dapat dilakukan dengan aman namun juga tidak memberikan dampak yang berarti bagi lingkungan sekitarnya. Di akhir penelitian ini, diberikan beberapa rekomendasi praktis yang dapat dilakukan baik oleh pihak pengembang maupun pihak operator Bandar Udara Bali Baru ini

SIMULASI GERAK DAN ANALISIS KESTABILAN KOPLING INERSIA WAHANA DIRGANTARA DENGAN BENTUK BADAN RAMPING Hari Muhammad; Hilman Samputra; Yazdi I. Jenie; Javensius Sembiring
Jurnal Teknologi Dirgantara Vol 9, No. 1 Juni (2011)
Publisher : National Institute of Aeronautics and Space - LAPAN

Show Abstract | Download Original | Original Source | Check in Google Scholar

Inertia coupling is a motion phenomenon of a high-speed airplane having slender body and low aspect ratio. This inertia coupling happens when the aircraft performs a roll manoeuvre motion with a high roll rate. This paper will discuss the derivation of inertia coupling equations of motion, modelling equations of motion in the Matlab/Simulink software, simulating the dynamics motion, and analyzing the stability of the inertia coupling. Numerical simulation and stability analysis of the inertia coupling for a fighter aircraft will be presented in this paper. Keywords:Inertia coupling, Stability analysis, Flight simulation, Slender body

Analisis Topologi Jaringan Penerbangan Indonesia Menurut PM 88 Tahun 2013 Javensius Sembiring; Luqman Fathurrohim; Taufiq Mulyanto; Lita Yarlina; Novyanto Widadi
WARTA ARDHIA Vol 48, No 1 (2022)
Publisher : Badan Kebijakan Transportasi, Kementerian Perhubungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/wa.v48i1.445.15-24

Penelitian ini memodelkan jaringan penerbangan domestik yang diatur dalam PM 88 Tahun 2013 dari sisi topologinya. Analisis topologi dilakukan baik dari sisi sistem jaringan sebagai satu jaringan yang terintegrasi dan analisis dari sisi peran bandara yang secara signifikan berpengaruh terhadap jaringan. Berdasarkan analisis jaringan sebagai sistem yang terintegrasi diperoleh bahwa satu bandara terkoneksi rata-rata dengan 7 bandara lainnya, rute terjauh dapat dijangkau dengan 6 kali penerbangan, jaringan mengikuti distribusi power-law, dua bandara rata-rata dapat ditempuh dengan 3 kali penerbangan. Sedangkan dari sisi peran bandara diperoleh bahwa bandara CGK, SUB, UPG, AMQ, MDC, DPS, BPN, dan KNO memiliki kontribusi yang sangat penting bagi jaringan domestik berjadwal seperti yang diatur dalam PM 88 Tahun 2013. Kontribusi per bandara ini dikuantifikasi melalui metrik seperti degree of centrality, betweenness centrality, eigenvector centrality, dan page rank.

Bird Detection System Design at The Airport Using Artificial Intelligence Khairul Ummah; Muhammad Fadly Hidayat; Denni Kurniawan; Zulhanif Zulhanif; Javensius Sembiring
AVIA Vol. 4, No. 2 (December 2022)
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/avia.v4i2.72

Bird strike is a process of crashing between bird and airplane which occurs in flight phase. Based on data, there are 40 times bird strike occurs every day (FAA, 2019). There are lot of research that already conducted to decrease number of birds at the airport. But it is not given significant changes. Hence, it is needed a model that can detect bird at the airport so that we can decrease the number of birds. Study already conducted by comparing motion detection with object detection and filter which can be used to improve detection quality. Model already developed using YOLOv4 object detection with 71.89% mean average precision. It is expected that object detection can be developed to become a bird repellent system in the future

Bird Detection System Design at The Airport Using Artificial Intelligence Ummah, Khairul; Hidayat, Muhammad Fadly; Kurniawan, Denni; Zulhanif, Zulhanif; Sembiring, Javensius
International Journal of Aviation Science and Engineering - AVIA Vol. 4, No. 2 (December 2022)
Publisher : FTMD Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/avia.v4i2.72

Bird strike is a process of crashing between bird and airplane which occurs in flight phase. Based on data, there are 40 times bird strike occurs every day (FAA, 2019). There are lot of research that already conducted to decrease number of birds at the airport. But it is not given significant changes. Hence, it is needed a model that can detect bird at the airport so that we can decrease the number of birds. Study already conducted by comparing motion detection with object detection and filter which can be used to improve detection quality. Model already developed using YOLOv4 object detection with 71.89% mean average precision. It is expected that object detection can be developed to become a bird repellent system in the future

Aircraft Detection in Low Visibility Condition Using Artificial Intelligence Ummah, Khairul; Widyosekti, M. Dhiku; Arif, Yanuar Zulardiansyah; Saputra, Rizal Adi; Riszal, Akhmad; Sembiring, Javensius
International Journal of Aviation Science and Engineering - AVIA Vol. 5 No. 1: (June 2023)
Publisher : FTMD Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/avia.v5i1.84

Bad weather often interferes with the functioning of the air transport system. One example is the frequent flight delays for commercial aircraft, resulting in losses for both the airline and passengers. Artificial Intelligence (AI) technology can now minimize delays caused by bad weather, especially in low visibility conditions. This paper discusses AI modeling that can detect aircraft in a low visibility weather condition, especially in the airport area. The employed method is the deep learning approach with the YOLOv4 algorithm (single-stage detection), which is regarded as one of the optimal platforms in this field. There are 600 images used in this work to create and train three different models. Image Dehazing filter is employed on the training data before it is trained to produce the detection model. The result shows that the model has a good performance in terms of performance metrices. Thus, this model is suitable to be used to detect aircraft in low visibility conditions.

Aircraft Detection in Low Visibility Condition Using Artificial Intelligence Sembiring, Javensius; Ummah , Khairul; Widyosekti, M. Dhiku; Arif, Yanuar Zulardiansyah; Huda, Zulmiftah
Journal of Applied Science, Engineering and Technology Vol. 4 No. 1 (2024): June 2024
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/jaset.v4i1.64

Bad weather often interferes with the functioning of the air transport system. One example is the frequent flight delays for commercial aircraft, resulting in losses for both the airline and passengers. Artificial Intelligence (AI) technology can now minimize delays caused by bad weather, especially in low visibility conditions. This paper discusses AI modeling that can detect aircraft in a low visibility weather condition, especially in the airport area. The employed method is the deep learning approach with the YOLOv4 algorithm (single-stage detection), which is regarded as one of the optimal platforms in this field. There are 600 images used in this work to create and train three different models. Image Dehazing filter is employed on the training data before it is trained to produce the detection model. The result shows that the model has a good performance in terms of performance metrices. Thus, this model is suitable to be used to detect aircraft in low visibility conditions.

Estimating Air Travel Demand in North Sumatra Using Gravity Model Approach with Economic and Route Analysis Zulkarnain, Ahnis; Pasaribu, Hisar Monongam; Sembiring, Javensius
Langit Biru: Jurnal Ilmiah Aviasi Vol 18 No 1 (2025): Langit Biru: Jurnal Ilmiah Aviasi
Publisher : Politeknik Penerbangan Indonesia Curug

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54147/langitbiru.v18i1.1284

This study estimates regional air travel demand in North Sumatra Province using variations of the gravity model. The objectives are to identify key factors influencing air travel demand, estimate demand through different model formulations, and assess airport infrastructure adequacy for regional connectivity. Three models were developed, progressively incorporating economic indicators such as GDP per capita, population, and distance, alongside socio-economic variables like leisure attractions, hotel accommodations, universities, and health facilities. The methodology involved log-linear transformations and regression analysis to estimate parameters. Results revealed significant variability in air travel demand, driven by proximity and economic activity, with the population coefficient shifting from 0.707 in Model 1 to -0.178 in Model 3, as socio-economic variables like leisure attractions (0.811) and GDP per capita (0.813) became more influential. Findings also exposed disparities in airport coverage, highlighting the need for strategic infrastructure improvements, particularly for high-demand pairs like Medan - Mandailing Natal.

Analisis Topologi Jaringan Penerbangan Indonesia Menurut PM 88 Tahun 2013 Sembiring, Javensius; Fathurrohim, Luqman; Mulyanto, Taufiq; Yarlina, Lita; Widadi, Novyanto
WARTA ARDHIA Vol. 48 No. 1 (2022)
Publisher : Sekretariat Badan Kebijakan Transportasi, Kementerian Perhubungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/wa.v48i1.445.15-24

Penelitian ini memodelkan jaringan penerbangan domestik yang diatur dalam PM 88 Tahun 2013 dari sisi topologinya. Analisis topologi dilakukan baik dari sisi sistem jaringan sebagai satu jaringan yang terintegrasi dan analisis dari sisi peran bandara yang secara signifikan berpengaruh terhadap jaringan. Berdasarkan analisis jaringan sebagai sistem yang terintegrasi diperoleh bahwa satu bandara terkoneksi rata-rata dengan 7 bandara lainnya, rute terjauh dapat dijangkau dengan 6 kali penerbangan, jaringan mengikuti distribusi power-law, dua bandara rata-rata dapat ditempuh dengan 3 kali penerbangan. Sedangkan dari sisi peran bandara diperoleh bahwa bandara CGK, SUB, UPG, AMQ, MDC, DPS, BPN, dan KNO memiliki kontribusi yang sangat penting bagi jaringan domestik berjadwal seperti yang diatur dalam PM 88 Tahun 2013. Kontribusi per bandara ini dikuantifikasi melalui metrik seperti degree of centrality, betweenness centrality, eigenvector centrality, dan page rank.

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