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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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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.
Design and Analysis of a Ten-Passenger Electric Aircraft Named Djinn Mulyanto, Taufiq; K Musyahada; F Carakapurwa; F Jatmiko; C Puspaningtyas; F Hanafi; Huda, Zulmiftah; Hamdani, Fadil
Journal of Applied Science, Engineering and Technology Vol. 4 No. 2 (2024): December 2024
Publisher : INSTEP Network

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

Abstract

As aircraft industries contribute more than 12% of the carbon emission globally, the urgency to develop a more sustainable and reliable source of energy to power aircrafts has become greater. Regarding that concern, an electric-powered aircraft is proposed to become the solution for the search of green technology. An electric aircraft has been proven to be capable of reducing carbon emission and sound emission. Despite of the advantages, the use of electric aircraft is still very scarce since there are a lot of considerable issues such as low energy density power sources, reliability problems, and the lack of design references. As a contribution for the development process, an electric aircraft by the name of “Djinn” has been designed, in hope that this aircraft can be an addition to the references for future endeavors. The methods used for designing the aircraft is similar as the methods used for developing conventional aircrafts, with slightly modified approximation and assumptions.
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
Desain Kendali Tegangan Keluaran Pembangkit Listrik Tenaga Pikohidro Menggunakan Konverter SEPIC dengan Tuning Fuzzy Logic Control Soedjarwanto, Noer; Zebua, Osea; Hamdani, Fadil; Eliza , Dona; Nurmalik, Luki
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 19 No. 3 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v19n3.2918

Abstract

Pembangkit Listrik Tenaga Pikohidro (PLTPH) merupakan solusi untuk memenuhi kebutuhan suplai listrik pada daerah terpencil yang tidak terjangkau jaringan listrik nasional. Tantangan utama dalam implementasi PLTPH adalah ketidakstabilan tegangan keluaran yang dihasilkan karena fluktuasi debit air yang menggerakkan turbin. Pada penelitian ini dilakukan integrasi Konverter SEPIC dan Pengendali Logika Fuzzy pada prototipe PLTPH untuk menstabilkan tegangan keluaran yang dihasilkan pembangkit. Integrasi konverter SEPIC memungkinkan penstabilan tegangan menuju nilai setpoint dengan menaikkan dan menurunkan tegangan sesuai kondisi operasi. Pengendali Logika Fuzzy menggunakan sistem logika untuk menangani ketidakpastian pada tegangan input. Pengujian dengan setpoint 12 V dan beban lampu DC 12 V menghasilkan nilai rise time 1,5420 detik dan Settling time rata-rata 1,7414 detik. Hasil ini menunjukkan sistem mampu mencapai setpoint secara cepat tanpa fluktuasi berkepanjangan. Nilai Maximum overshoot rata-rata 0,583% dan Error steady-state rata-rata 0,0146% sehingga tidak terdapat lonjakan tegangan berlebih dan tegangan keluaran mendekati nilai setpoint.
Dampak Penggunaan Artificial Intelligence terhadap Etika Profesi dan Moral di Dunia Kerja Kurniawan, Prasetya; Budiyanto, Deny; Hamdani, Fadil
Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer) Vol 5 No 1 (2025): Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitekt
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakadata.v5i1.1025

Abstract

Perkembangan teknologi kecerdasan buatan (Artificial Intelligence/AI) telah membawa perubahan signifikan dalam dunia kerja profesional. AI kini banyak digunakan untuk mendukung efisiensi, produktivitas, dan pengambilan keputusan di berbagai sektor. Namun, kemajuan ini juga menimbulkan tantangan etis, terutama terkait tanggung jawab, orisinalitas, dan potensi pelanggaran etika profesi. Penelitian ini bertujuan untuk menganalisis hubungan antara penggunaan AI dalam pekerjaan sehari-hari dengan kesadaran etika profesi di kalangan profesional. Metode penelitian yang digunakan adalah pendekatan kuantitatif deskriptif dengan teknik pengumpulan data melalui kuesioner daring kepada 50 responden dari berbagai latar belakang profesi. Analisis data dilakukan dengan uji Chi-Square (?²) untuk mengetahui signifikansi hubungan antara dua variabel kategorikal, yaitu frekuensi penggunaan AI dan pemahaman terhadap pertimbangan etis. Hasil uji hipotesis menunjukkan nilai p-value sebesar 0,9605, yang lebih besar dari tingkat signifikansi (? = 0,10), sehingga disimpulkan bahwa tidak terdapat hubungan yang signifikan antara penggunaan AI dengan kesadaran etika profesi. Temuan ini menunjukkan bahwa kesadaran etis profesional bukan ditentukan oleh intensitas penggunaan teknologi, melainkan oleh faktor lain seperti nilai pribadi, pendidikan, dan budaya organisasi. Penelitian ini merekomendasikan pentingnya edukasi etika digital dan perumusan kebijakan etis yang adaptif terhadap perkembangan teknologi.
PENGEMBANGAN SISTEM PENGOLAHAN DATA PENILAIAN REKOGNISI PEMBELAJARAN LAMPAU UNTUK PROGRAM PROFESI INSINYUR MENGGUNAKAN METODE SCRUM Septiana, Trisya; Despa, Dikpride; Hamdani, Fadil; Budiyanto, Deny
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 2 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i2.4597

Abstract

Abstrak. Universitas Lampung merupakan salah satu perguruan tinggi yang mendapat amanat untuk menjalankan Program Profesi Insinyur(PPI) dengan jalur Rekoginisi Pembelajaran Lampau (RPL). Seseorang yang mengikuti jalur RPL ini telah memiliki pengalaman dibidang keinsinyuran minimal 5 tahun yang nantinya data pendidikan, pekerjaan, pelatihan dari lembaga formal dan informal dapat dikonversikan pada 6 mata kuliah yang berjumlah 24 SKS. Proses penilaian data RPL ini akan membutuhkan waktu yang lama apabila dilakukan secaara manual dan menghambat proses administrasi perkuliahan di PPI. Untuk itu dilakukan pengembangan proses penilaian yang efektif dan efisien secara otomatisasi pada web application melalui pengembangan sistem pengolahan nilai akhir data RPL (E-RAPEL) yang mampu memecahkan permasalahan yang sering terjadi di PPI dan dapat mempermudah administrasi nilai. Pengembangan sistem ini dilaksanakan dengan mengadopsi metode scrum  karena mampu meningkatkan kinerja produk, tim, dan lingkungan kerja. Dalam memperoleh data pada penelitian ini dilakukan teknik wawancara dan observasi langsung dan didapatkan hasil sebuah sistem yang manpu mempermudah proses penilaian akhir data RPL dengan menggunakan pengujian blackbox didapatkan seluruh komponen uji menunjukkan adanya keberhasilan dan sesuai dengan yang diharapkan serta mempermudah proses penilaian akhir data RPLyang sedang berjalan di PPI.
SNR Gain Evaluation in Narrowband IoT Uplink Data Transmission with Repetition Increment: A Simulation Approach Hamdani, Fadil; Susanto, Misfa; Sigwele, Tshiamo
Journal of Engineering and Scientific Research Vol. 5 No. 1 (2023)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jesr.v5i1.160

Abstract

Deploying Internet of Things (IoT) on a large scale necessitates widespread network infrastructures supporting Machine Type Communication. Integrating IoT into cellular networks like LTE, known as Narrowband-IoT (NB-IoT), can fulfill this infrastructure need. Standard 3GPP Release 13 introduces NB-IoT's Repetition features, expanding radio transmission coverage while maintaining LTE performance. Focusing on uplink data traffic, this study examines NB-IoT's repetition mechanism, grid resource distribution, and NPUSCH performance through simulations. Results show that at SNR greater than -5 dB, maximum repetitions of 128 yield the highest BLER, while minimum repetitions of 2 result in the lowest. Quadrupling repetitions increases SNR by 5 dB, emphasizing repetition's role in error mitigation and uplink reliability, especially in challenging SNR conditions. For optimal throughput in SNR above -5 dB, maximum repetitions of 128 for NPUSCH format 1 are recommended. These findings underscore the importance of repetition in enhancing Narrowband IoT performance, offering insights for system optimization, where increasing the number of repetitions generally leads to higher SNR gain. The attained BLER and throughput values from Narrowband IoT simulations highlight the robustness of data transmission across varying channel conditions, affirming NB-IoT applicability to a wide range of IoT applications.
Design of Long-Distance Shrimp Pond Monitoring Using 2.4 GHz IoT Digital Radio Line-of-Sight Transmission Hamdani, Fadil; Fitriawan , Helmy; Septiana, Trisya; Heriansyah
Journal of Engineering and Scientific Research Vol. 7 No. 1 (2025)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jesr.v7i1.219

Abstract

Water quality plays a vital role in shrimp farming, as suboptimal conditions can increase stress levels and disease susceptibility, potentially resulting in mass mortality. Real-time water quality monitoring enabled by Internet of Things (IoT) technology presents a promising solution to this issue. However, implementing IoT systems in shrimp ponds, typically situated in open, low-vegetation, and aquatic environments, poses technical challenges, particularly in maintaining line-of-sight (LOS) conditions between sensor nodes and gateway nodes. This study utilizes a linear path profiling method to evaluate LOS feasibility. A straight-line path is drawn between the transmitter and receiver to determine the minimum required antenna height for unobstructed signal propagation. For a 2.4 GHz WiFi-based transmission over a 1.27 km distance, ensuring 30% Fresnel zone clearance requires the sensor antenna to be elevated 1.5 meters above the water surface, while the gateway antenna must be positioned at a minimum height of 6.5 meters above ground level, assuming a ground elevation of 1.5 meters above mean sea level (AMSL). To achieve a minimum Received Signal Level (RSL) of -80 dBm, simulation results indicate that the system needs a transmit power of at least 12 dBm when using a gateway antenna with 8 dBi gain, or 8 dBm if the gateway antenna has 20 dBi gain, assuming the transmitter antenna gain is 2 dBi. The study also presents a simulation-based relationship between RSL and transmit power across different receiver antenna gains (2 dBi, 8 dBi, and 20 dBi), providing insights for optimizing IoT-based monitoring systems in aquaculture environments.
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