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International Journal of Aviation Science and Engineering
Published by Institut Teknologi Bandung
ISSN : 27215342     EISSN : 27156958     DOI : https://doi.org/10.47355/avia.v1i1.6
Core Subject : Engineering,
Aerospace Engineering Automotive Engineering Electrical & Electronics Engineering Mechanical Engineering Transportation
AVIA : International Journal of Aviation Science and Engineering is published by Faculty of Mechanical and Aerospace Engineering, FTMD Institut Teknologi Bandung, Indonesia - in cooperation with Faculty of Engineering, Universitas Lampung and Java Scientific Academy, Indonesia. International Journal of Aviation Science and Engineering aims to publish original research articles and critical review manuscript in the field of Aviation Science and Engineering as well as Aerospace and applied Mechanical Engineering. The topics are including, but limited to: aviation sciences and technology, aerospace engineering, aeronautics, defense system and engineering, safety and energy, mechanical engineering, aeronautics education and training, interdisciplinary engineering and applied sciences.
Arjuna Subject : Teknik (semua kategori) - Teknik Ruang Angkasa
Articles 5 Documents
 1 
Search results for , issue "Vol. 5 No. 1: (June 2023)" : 5 Documents clear
Evaluation Of Swelling – Shrinkage Of Soil Stabilized With Cement and Matos Soil Stabilizer Saputra, Muhammad Dzulhaj
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.v5i1.79

Abstract

This study aims to investigate the effect of matos soil stabilizer on soil stabilized with cement. The study utilizes 5% Portland Composite Cement (PCC) ratio by weight of dry soil and matos soil stabilizer at 0%, 1%, 2%, 4%, and 8% by weight of Portland Composite Cement, with curing periods of 0 days, 7 days, and 14 days, focusing on the swelling and shrinkage characteristics. The best result showed in a mixture with a variation of 8% matos soil stabilizer under 14 days curing with a plasticity index 12,227% Swelling (CBR Soaked) 1,423, Swelling Pressure 1,469 kg/cm2 and free swelling index 16,667%. The test results indicate that the mixtures with varying amounts of matos soil stabilizer in the cement-treated soil with different curing periods can reduce soil swelling, as observed from the values of plasticity index, Swelling (soaked CBR (California Bearing Ratio)), swelling pressure, and free swelling index, which decrease progressively. Therefore, it can be concluded that increasing the amount of matos soil stabilizer and prolonging the curing time can reduce the swelling and shrinkage characteristics of the soil.
Simulation of the impact of Covid-19 outbreak for airport terminal operations at Sam Ratulangi International Airport Pandiangan, Melania Lidwina
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.v5i1.82

Abstract

Indonesian airport regulators have taken steps to keep their airports operational during the Covid-19 pandemic. Measures such as implementing physical distance, checking body temperature and checking health documents have affected the efficiency of the airport terminal. Covid-19 Crisis Management has made major operational adjustments. This action has been effectively carried out in situations where passenger transport has been limited due to regulatory agency flight restrictions. However, it is still unclear what the output will be when the demand normalizes. The purpose of this paper is to compare terminal operations before and after the occurrence of Covid-19. This paper evaluates the impact of Covid-19 measures on airport terminal performance using simulation tests of CAST 8 terminal simulation software. The model represents Sam Ratulangi International Airport (IATA: MDC) in Manado, Indonesia. This model covers the departure and the arrival areas. The flight schedule of the selected date taken from the flight radar website generates the passengers, the farewellers, and the meeters. IATA ADRM 11th Edition is the guidelines to determine the level of service. Adjustments for Covid-19 scenarios include number of passengers, physical distance, processing flow, and waiting time. The results show that the waiting time of each process has increased latency and at some point the latency exceeds the optimum service level. The simulation results allow local airport authorities to maintain a specified level of service at MDC airport.
Development of Anti-UAV System Using Visual Artificial Intelligence Sembiring, Javen; Prianggoro, Dimas; Saputra, Rizal Adi; Tarkono, Tarkono; Ummah, Khairul
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.v5i1.83

Abstract

Unmanned Aerial Vehicles (UAV) was first developed as a tool for military purposes. Due to the rapid growth in technology, UAVs are now used in various applications including civil needs. Of course, there are consequences for this where UAVs can be misused by irresponsible parties. One example is the use of UAVs in airport fields which can disrupt the airport operations and possibly become a serious threat towards security and safety of flights in the airport. This paper will discuss the artificial intelligence (AI) modeling to detect UAVs. This AI modeling is the first step in designing counter unmanned aerial system (C-UAS). UAV detection will use deep learning using YOLOv4 (single-stage detection) for optimal detection speed and accuracy. There are a total of 500 image data processed and used in two AI modeling experiments in this study. Gaussian blur filter is used to create dataset variations so that the training can be processed more efficiently and the model can detect better. The results shows that the training dataset that has been processed with gaussian blur (filtered dataset) increases the AI model’s detection performance in rainy and clear conditions. Therefore, the model trained using filtered datasets is more suitable for use in detecting UAV objects in anti-UAV systems.
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

Abstract

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.
Fibrin Gel Properties and Gelation Structures for Tissue Engineering Scaffold and Biomedical Engineering Applications Vadival, G N; Sukmana, Irza; Risano, A Yudi Eka; Sugiri, Agus; Hamdani, Fadil
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.v5i1.85

Abstract

Fibrin gel is utilized in a wide range of medical applications, such as hemostatic agents, wound healing, drug delivery, cell delivery, cell differentiation, and tissue engineering. Notably, fibrin gel exhibits exceptional extensibility compared to other filamentous biopolymers, capable of stretching over five times its original length without breaking. Remarkably, it can fully recover from elongations exceeding 100% once the applied stress is removed. This paper presents an optimized formulation of fibrinogen and thrombin tailored for culturing human umbilical vein endothelial cells (HUVEC). We explore the mechanical and physical properties of the fibrin gel, aiming to identify ways to enhance its medical applications. The gel is synthesized in vitro through the combination of fibrinogen and thrombin, allowing us to assess how varying the proportions of these components affects the gel structures and properties

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