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All Journal Warta Ardhia : Jurnal Perhubungan Udara Jurnal Teknologi Dirgantara International Journal of Aviation Science and Engineering Langit Biru: Jurnal Ilmiah Aviasi Journal of Applied Science, Engineering and Technology (J. ASET) Warta Penelitian Perhubungan Indonesian Journal of Aerospace
Javensius Sembiring, Javensius
Institut Teknologi Bandung
Aerospace Engineering Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Physics Transportation

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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

Abstract

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.
Fuel Efficiency Comparison of PBN and ILS Approach Procedures at Sam Ratulangi Airport M'Azzuri, Banni Yulia; Indriyanto, Toto; Sembiring, Javensius
Indonesian Journal of Aerospace Vol. 22 No. 2 (2024): Indonesian Journal Of Aerospace
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/ijoa.2024.8968

Abstract

This study evaluates the efficiency of approach procedures at Sam Ratulangi International Airport-Manado by comparing Required Navigation Performance (RNP) under Performance-Based Navigation (PBN) with the Instrument Landing System (ILS) as a conventional procedure. A simulation using the BlueSky ATM Simulator was conducted with 30 aircraft instances for each approach, utilizing real-time FlightRadar24 speed data to ensure operational realism. The analysis focused on three key metrics: distance flown, time spent, and fuel consumption. Results show that implementing of PBN procedures reduces distance flown by 15%, flight time by 15% and fuel consumption by 14% compared to ILS, demonstrating improved operational efficiency. This research provides a quantitative assessment of PBN systems’ effectiveness in optimizing approach procedures, supporting aviation sustainability, and reducing operational costs.
SIMULASI GERAK DAN ANALISIS KESTABILAN KOPLING INERSIA WAHANA DIRGANTARA DENGAN BENTUK BADAN RAMPING Muhammad, Hari; Samputra, Hilman; Jenie, Yazdi I; Sembiring, Javensius
Indonesian Journal of Aerospace Vol. 9 No. 1 Juni (2011): Jurnal Teknologi Dirgantara
Publisher : BRIN Publishing

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Abstract

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.
Data-Driven Trajectory Optimization on the Cgk–upg Route Using K-means and Bluesky Stochastic Simulation Syahputra, M.Efaldes; Indriyanto, Toto; Sembiring, Javensius
Indonesian Journal of Aerospace Vol. 23 No. 2 (2025): Indonesian Journal Of Aerospace
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/ijoa.2025.14365

Abstract

This study examines the operational efficiency of the Jakarta–Makassar (CGK UPG) route, one of Indonesia’s busiest domestic corridors, by integrating historical ADS B data analysis with stochastic simulation. Flight trajectories obtained from FlightAware were processed through data cleaning, standardization, Principal Component Analysis (PCA), and K-Means Clustering to extract a representative data-driven trajectory. This trajectory was evaluated alongside the RNAV T-5 and conventional VOR/NDB routes documented in AIRAC AIP AMDT 162. All routes were assessed using 300 Monte-Carlo simulations in the BlueSky ATM Simulator, incorporating randomized variations in cruise speed and altitude to reflect operational uncertainty. Performance indicators included flight distance, travel time, fuel consumption, and CO₂ emissions. Results show that the data-driven trajectory offers shorter distance and flight duration, requiring less fuel and producing lower emissions compared to the two procedural routes. These findings demonstrate that trajectory extraction based on historical data can produce more efficient flight paths and support the implementation of Trajectory-Based Operations (TBO) within Indonesia’s domestic airspace. The approach also contributes to national sustainability efforts by enabling potential reductions in carbon emissions from the aviation sector.
Data-driven Optimization Of Runway Occupancy Time Landing: A Case Study On Runway 06 at Soekarno-hatta International Airport Wibowo, Prakoso Satrio; Sembiring, Javensius; Indriyanto, Toto
Indonesian Journal of Aerospace Vol. 23 No. 2 (2025): Indonesian Journal Of Aerospace
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/ijoa.2025.14372

Abstract

This study investigates how aircraft speed and altitude at threshold crossing influence Runway Occupancy Time Landing (ROTL) on Runway 06 at Soekarno–Hatta International Airport. A dataset of 2,000 ADS-B landing trajectories from Flightradar24 was analyzed to quantify empirical relationships between threshold parameters and ROTL. The 5% lowest ROTL flights showed substantially higher threshold speeds than the 5% highest ROTL flights, while threshold altitude remained nearly constant, indicating that speed is the dominant operational driver of runway occupancy. A regression-based scoring method was used to identify a representative efficient reference flight, which then served as the baseline for stochastic simulation in the BlueSky ATM Simulator. Threshold speed and altitude were sampled from normal distributions calibrated to the efficient group, and 300 simulated landings were generated. The simulation reproduced efficient operations with a mean ROTL of 51.77 s and a narrow 95% confidence interval of 51.69–51.85 s. The results support a practical recommendation to standardize threshold speed and deceleration profiles as a low-cost strategy to reduce ROTL without infrastructure modification.
Co-Authors Arif, Yanuar Zulardiansyah Denni Kurniawan Hari Muhammad Harjono, Okky Sukmawati Hidayat, Muhammad Fadly Hilman Samputra Huda, Zulmiftah Jenie, Yazdi I Khairul Ummah Khairul Ummah Kurniawan, Denni Lita Yarlina Lita Yarlina, Lita Luqman Fathurrohim M'Azzuri, Banni Yulia Mahardi Sadono Mahardi Sadono Mohamad Hasan Bashory Muhammad Fadly Hidayat Mulyanto, Taufiq Novyanto Widadi Pasaribu, Hisar Manongam Pasaribu, Hisar Monongam Riszal, Akhmad Rizal Adi Saputra Rully Medianto Samputra, Hilman Syahputra, M.Efaldes Toto Indriyanto Wibowo, Prakoso Satrio Widadi, Novyanto Widyosekti, M. Dhiku Yazdi I. Jenie Zulhanif Zulhanif Zulhanif, Zulhanif Zulkarnain, Ahnis