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All Journal Jurnal Informatika dan Teknik Elektro Terapan Journal of Engineering and Scientific Research (JESR) International Journal of Aviation Science and Engineering Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Journal of Applied Science, Engineering and Technology (J. ASET) Electrician : Jurnal Rekayasa dan Teknologi Elektro
Hamdani, Fadil
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Journal : International Journal of Aviation Science and Engineering

 1 
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
Clustering and BiLSTM Network for Aircraft Trajectory Prediction Model Sembiring, Javen; Fauzan, M Ariq; Ummah, Khairul; Hamdani, Fadil; Djuansjah, Joy R P
International Journal of Aviation Science and Engineering - AVIA Vol. 5 No. 2: (December,2023)
Publisher : FTMD Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/avia.v5i2.89

Abstract

The increasing demand for air travel requires the development of more accurate aircraft trajectory prediction methods to optimize airspace utilization and enhance safety. This paper presents a hybrid approach for single-flight-route trajectory prediction that employs the K-means clustering and Bidirectional Long Short-Term Memory (BiLSTM) networks. The primary objective is to develop a deep learning model that effectively predicts aircraft trajectories. Additionally, this research investigates the influence of trajectory clustering on prediction accuracy. To fulfill the objectives, a four-step methodology: data preprocessing, model construction, validation testing, and analysis is employed. Real-world historical flight data is used to train the BiLSTM model after being clustered with K-means. The model's performance is evaluated using randomized enroute flight data and various metrics like mean squared error and root mean squared error. This research is successful in accurately predicting the flight and the clustering process was proven to increase prediction accuracy by 15 percent in latitude, and 10 percent in longitude.
Analysis of Low Noise Amplifier Design for 1 GHz IoT Water Monitoring System Hamdani, Fadil; Susanto, Misfa; Heriansyah
International Journal of Aviation Science and Engineering - AVIA Vol. 6 No. 2: (December, 2024)
Publisher : FTMD Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/avia.v6i2.143

Abstract

The Internet has greatly accelerated the development of machine-to-machine communication technologies, enabling the remote monitoring and control of water treatment processes. A key example of this is the Internet of Things (IoT)-based Water Quality Management (WQM) systems, which utilize wireless sensors to monitor environmental parameters in real-time. These sensors are connected to a central gateway that aggregates and transmits data, facilitating timely interventions when water quality deviates from standards. The use of wireless communication minimizes installation challenges and environmental disruption. However, signal attenuation, particularly in Ultra High Frequency (UHF) bands over water, presents a challenge due to factors like temperature variations, antenna height, and surface roughness. UHF signals, while favorable for IoT applications due to their high data throughput and low power consumption, face propagation limitations over water surfaces. Despite these challenges, UHF's ability to penetrate structures and support large networks makes it a viable choice for IoT in aquatic environments. This paper explores the design of low noise amplifiers (LNAs) to mitigate signal attenuation in IoT systems for WQM, with a focus on enhancing signal integrity while maintaining low power consumption. By optimizing LNAs, the study aims to address the unique communication challenges posed by water environments, ensuring reliable and efficient operation of WQM systems
Co-Authors A.Yudi Eka Risano Agus Sugiri, Agus Budiyanto, Deny C Puspaningtyas Dikpride Despa Djuansjah, Joy R P Eliza , Dona F Carakapurwa F Hanafi F Jatmiko Fauzan, M Ariq Fitriawan , Helmy Heriansyah Huda, Zulmiftah Irza Sukmana, Irza K Musyahada Khairul Ummah Kurniawan, Prasetya Misfa Susanto Mulyanto, Taufiq Noer Soedjarwanto Nurmalik, Luki Osea Zebua Sembiring, Javen Sigwele, Tshiamo Susanto, Misfa Trisya Septiana Vadival, G N