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JMECS (Journal of Measurements, Electronics, Communications, and Systems)
Published by Universitas Telkom
ISSN : 24777994     EISSN : 24777986     DOI : https://doi.org/10.25124/jmecs.v6i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology
Journal of Measurements, Electronics, Communications, and Systems (JMECS) is a scientific open access journal featuring original works on communication, electronics, instrumentation, measurement, robotics, and security networking. The journal is managed by the School of Electrical Engineering and published by Telkom University. The target audience of JMECS are scientists and engineers engaged in research and development in the above-mentioned fields. JMECS publishes full papers and letters bi-annually in June and December with a high standard double blind review process. Review cycles are typically finished within twelve weeks by application of modern electronic communication facilities. All published articles are checked using ithenticate plagiarism checker software. The scopes include: ELECTRONICS (ELEC) Theory and Design of Circuits Biomedics COMMUNICATION SYSTEMS (COMS) Information Theory Source Coding Channel Coding Optical Communications Wireless Communications SIGNAL PROCESSING (SIGN) Signal and System Image Processing AUTOMATION AND ROBOTICS (AUTO) Industrial Automation Control Theory Control Systems INSTRUMENT AND MEASUREMENT (INST) Power systems Renewable energy Smart Building Sensors Acoustics MATERIAL AND DEVICES (MATE) Material for Electronics Nanomaterials Photonics NETWORKING AND SECURITY (NETW) Network Theory Communication Protocols Switching Internet of Things, ANTENNA AND MICROWAVE (ANTE) Antennas Propagations Nanosatellite Radar Remote Sensing Navigation ARTIFICIAL INTELLIGENCES (ARTI) Machine Learning Intelligent Transportation Systems
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 5 Documents
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Search results for , issue "Vol 9 No 2 (2022): JMECS" : 5 Documents clear
Hypersonic Flight Control with Inverse Dynamics Approach using FlightGear A. W. Pahlevi; Erwin Susanto; M. R. Rosa
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 9 No 2 (2022): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v9i2.5077

Abstract

Hypersonic flight is one of the technological developments for aircraft with speeds above Mach 5, the speed at which air separation begins to become significant. This paper presents a control of hypersonic flight with inverse dynamics systems. Hypersonic Flight Control (HFC) is approached as system and controlled by inverse dynamics. The design of the proposed inverse dynamics equation aims to cancel all nonlinear terms so that the closed loop system is linear, so that we can simulate the system in The control strategy aims to change quickly and accurately. The simulation result deployed by MATLAB shows the effectiveness of the proposed control scheme. We include FlightGear simulation to visualize the aircraft’s 3D motion. MATLAB and Simulink can be used for inverse dynamics control of hypersonic aircraft, while FlightGear can be used to visualize aircraft motion, making it easier to observe and verify control effectiveness. In the simulation, we use an altitude of 1000 with the PD controller gains Kp = diag(10; 10; 10; 10; 10; 20) and Kd = diag(10; 10; 10; 10; 10; 1) that gives less oscillation for the proposed scenario. We focused our research on the control of the aircraft using the Vector Field approach so that it solves the standard local minima problem in the path following method. The urgency of this research is crucial because it can revolutionize aircraft navigation and serve as a reference for the development of unmanned aircraft, shaping the future of world aviation.
Skin Cancer Classification Malignant and Benign Using Convolutional Neural Network Nur Alyyu; Ratna Sari; R.Yunendah Nur Fuadah; Nor Kumalasari Caecar Pratiwi; Sofia Saidah
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 9 No 2 (2022): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v9i2.5724

Abstract

Skin cancer is one of the most deadly cancers. This cancer ranks third after cervical cancer and breast cancer in Indonesia. In detecting skin cancer, a dermatologist can carry out a biopsy. However, carrying out a biopsy requires a long time and preparation. Innovations to classify and detect skin cancer using artificial neural networks are overgrowing in helping doctors so that prompt and appropriate treatment can be carried out. The purpose of this project was to develop a system to classifying skin cancer using Convolutional Neural Networks (CNNs) and the ResNet50 architecture. This research examined the extent of system performance results using accuracy, recall, precision, and f1-score by doing several trials by changing the hyperparameters. The dataset used in this study was obtained online through Kaggle, with two classes, malignant and benign, divided into 80% training data and 20% test data. Based on the testing result, the best hyperparameter system was obtained using AdaMax optimizer, the learning rate was 0.0001, the batch size was 64, and the epoch was 50. In this research, The performance results values were 99% for precission, recall and f1-score. Simulation results show that this method with highly optimized hyperparameters can accurately classify malignant and benign skin cancer.
Microstrip Antenna Gain Enhancement using Multilayer Substrate and Superstrate Structure for Space-Based ADS-B Surveillance edwar EDWAR; Gilda Priscilla; Levy Olivia Nur; Putri Indra Wahyuningsih; Amanda Nurul Islam Ali
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 9 No 2 (2022): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v9i2.5707

Abstract

Aircraft traffic monitoring is an important part in increasing flight security. Automatic Dependent Surveillance Broadcast (ADS-B) is used to run this task. The authority usually uses ground-based ADS-B signal receiver to monitor the aircraft traffic. However, this system is unable to detect the aircraft position when it is in a remote area. -based ADS-B can be the solution to this problem with the increase in the surveillance coverage by installing the ADS-B receiver system on a satellite platform such a . To enable this system, a high gain antenna is needed. This paper investigated a superstrate multilayer microstrip antenna as a candidate for this technology. The multilayer substrate and superstrate structure were combined with a microstrip antenna to achieve a high gain performance without increasing the antenna dimension significantly. The multilayer method produced 4.327 dBi of antenna gain and it was rising into 4.946 dBi after being integrated with the superstrate layer by a computer simulation. The fabricated antenna gain was 4.505 dBi which was still considerably high compared to the other previous works. This antenna was designed by following the CubeSat form factor standard so it can be installed into the spacecraft easily.
Energy Efficient D2D Communication Under Downlink Heterogeneous Network Martinus Erico Noktafianus Hindarto; Nur Izza Rahma; Vinsensius Sigit Widhi Prabowo; Nachwan Mufti Adriansyah
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 9 No 2 (2022): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v9i2.5713

Abstract

The increase in cellular users (CU) caused data traffic congestion on the Base Station (BS). Device to Device (D2D) communication can be used to reduce the traffic on BS. D2D communication is direct communication between devices without using a central BS to reduce traffic congestion. CU and D2D users will share the same Resource Block (RB), but there is a drawback that causes interference. This study employs a downlink direction Heterogeneous Network (HetNet) system model to mitigate interference issues. Resource allocation is performed using a greedy algorithm, and to enhance its performance, two small cell base stations (SB) were incorporated, denoted as SB1 (1st SB) and SB2 (2nd SB), thereby transforming the algorithm into a greedy algorithm with SB1SB2. A comparative analysis was conducted between the greedy algorithm with SB1SB2 and the conventional greedy algorithm (without the addition of SB1 and SB2). Furthermore, the authors manipulated the radius of the macro cell base station (MB) in this study to examine its impact on system performance. The results obtained from the simulation are greedy with the SB1SB2 algorithm getting a lower value on the sum data rate with a value of 1.62 × 108 bps, spectral efficiency with a value of 9.02 bps/Hz, total fairness (CU and D2D) with a value of 0.4095. Meanwhile, in terms of power efficiency, the greedy algorithm with SB1SB2 has a higher value of 10.40%. However, resource allocation in both algorithms is not the best solution. So that the resulting performance parameters are less than optimal.
RADIO RESOURCE ALLOCATION USING GRAPH THEOREM FOR DEVICE-TO-DEVICE COMMUNICATION SYSTEM Akbar Rozak; Bayu Ardiansyah Rahmadhani; Vinsensius Sigit Widhi Prabowo; Nachwan Mufti Adriansyah
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 9 No 2 (2022): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v9i2.5719

Abstract

The increasing demand for higher data rates for local area services caused traffic congestion at the base station (BS). One way to overcome this is a Device to Device (D2D) communication system. Device to Device allows nearby User Equipment (UE) to communicate using a direct link with each other without going through the BS. However, D2D communication caused interference to the traditional celullar user, because usually they use same frequency spectrum. A good radio resources allocation algorithm is a must to overcome this problem. This research proposes graph based allocation algorithm, to allocates the resources for D2D user and Cellular user. Graph algorithm is an algorithm which allocated the resource depending on the edge level of each user. The simulation parameters that being used to analyze the graph algorithm’s performance are sumrate, efficiency spectral, power efficiency and fairness, and graph algorithm is compared with a traditional greedy algorithm. Based on the result, graph algorithmm can inprove the fairness among the user in the system by 3.7%. Meanwhile, the sumrate, spectral efficiency, and power efficiency of the system is decreased by 4.24%, 4.52%, and 4.57% respectively compared with traditional greedy algorithm.

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