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Contact Name
Ismudiati Puri Handayani
Contact Email
iphandayani@telkomuniversity.ac.id
Phone
+6281285658967
Journal Mail Official
iphandayani@telkomuniversity.ac.id
Editorial Address
Jl Telekomunikas 1 Terusan Buah Batu
Location
Kota bandung,
Jawa barat
INDONESIA
JMECS (Journal of Measurements, Electronics, Communications, and Systems)
Published by Universitas Telkom
ISSN : 24777994     EISSN : 24777986     DOI : https://doi.org/10.25124/jmecs.v6i1
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
Articles 82 Documents
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.
Design and Realization of Metamaterial Antenna for Enhancement of Antenna Parameters in 5G Frequency Daniel Christian Sianipar; Lutfianne Rafasari; Harfan Hian Ryanu; Bambang Setia Nugroho; Levy Olivia Nur
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 10 No 1 (2023): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v10i1.5793

Abstract

Technological advancements, particularly in telecommunications, are accelerating. The speed of which data is sent and received is a critical demand in the rapidly expanding telecommunications sector. Fifth - generation (5G) technology necessitates the use of antenna that can effectively send and receive data. This study examines the design and realization of a microstrip antenna that operates at 3.5 GHz utilizing Electromagnetic Band Gap (EBG). The usage of an EBG can optimize antenna quality and dimensions. Based on the simulation results, the original antenna without EBG obtained S11 of -30.76 dB with a Gain of 2.653 dBi at 3.5 GHz. By adding the EBG structure with 4 x 4 configuration, the simulation results show a better S11 of -40.021dB and a higher Gain of 4.229 dBi, at a distance of 5 mm between the antenna and the EBG structure. For the measurement results, this antenna obtained S11 of -33.088 dB with a Gain of 4.3 dBi. In addition, there is a change in the radiation pattern between the Regular Antenna and the Antenna with EBG. In the antenna radiation pattern with EBG the current direction is reflected in phase and result in constructive reflection. Based on the parameters obtained from measurements and simulations, the antenna has achieved the target specification and can be used at a frequency of 3.5 GHz.
Performance of Static Power Allocation in Indoor Room on VLC-NOMA System Using Modulation PPM Syifa Hana Afifah; Nachwan Mufti Adriansyah; Brian Pamukti
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 10 No 1 (2023): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v10i1.5835

Abstract

Visible light communication (VLC) is an emerging and promising technology that exploits the visible light spectrum for data transmission. However, one of the major challenges in VLC is how to efficiently allocate the scarce modulation bandwidth to multiple users while avoiding interference and maintaining signal quality. To tackle this challenge, we propose a novel scheme that combines non-orthogonal multiple access (NOMA) with static power allocation (SPA) and pulse position modulation (PPM) in VLC. We conduct simulations in a realistic indoor scenario with a 9x9x3 m room and a single 12-watt LED at the center, using a line of sight (LOS) channel with a field of view (FOV) of 70o. The results show that our scheme achieves superior performance, with user 1 and user 2 obtaining signal-to-interference noise ratio (SINR) values of 20 dB and 74 dB, respectively. Our scheme can effectively overcome the limitations of VLC, such as low data rate, limited coverage area, and high sensitivity to ambient light noise, and pave the way for future VLC applications.
Performance Analysis of Radio Resource Allocation to Maximize Power Efficiency in Device-To-Device Communication Shilvy Fatma Fitria Rachmawati; Vinsensius Sigit Widhi Prabowo; Lista Anggayani; Nachwan Mufti Adriansyah
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 10 No 1 (2023): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v10i1.5812

Abstract

Technological developments in the field of telecommunications have progressed. However, the more cellular network users, the more traffic on the Base Station (BS) will be. One way to overcome this is to implement a Device-To-device (D2D) communication system. However, when D2D User Equipment (DUE) reuses Cellular User channel resources Equipment (CUE), then interference will occur. This research is conducted to address interference problems and maximize energy efficiency for CUEs and DUEs by implementing the Greedy algorithm with additional power control. The aim is to block unnecessary resources and optimize resource allocation. The Optimal Power Control (OPC) scheme will utilize the transmit power threshold. The simulation scheme for the D2D communication system used is the uplink and underlay mode single-cell system model. Where the DUE pair will use the same resources as the CUE that has been given by the BS. Resources in CUE can only be reused by one pair of DUEs, and vice versa. The greedy algorithm using power control gets superior performance at a sum rate of 1.79 × 107 bps with an increase of 36.03%. Spectral efficiency of 2.49 bps/Hz with an increase of 36.03%. The power efficiency of 2.08 × 103 bps/mw with an increase of 118.47%. Based on the result the greedy algorithm without power control gets superior performance at CU Fairness of 1 with an increase of 50.14%.
Performance Analysis of Resource Allocation Algorithm Based on Simple Particle Swarm Optimization for Device to Device Communication System Nisa Alwiyah; Muhammad Arung; Vinsensius Sigit Widhi Prabowo
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 10 No 1 (2023): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v10i1.5961

Abstract

The development of Device-to-Device (D2D) communication as an alternative communication scheme continues to grow. D2D communication enables each device to communicate directly with other devices without going through the Evolved Node B (eNB). These days, D2D communication can be implemented in conventional cellular communication, and use the same spectrum as the conventional cellular user (underlay). This underlay scheme can improve the cell’s spectrum efficiency, but the interference level that happens in the cell is increased. Because D2D communication and cellular communication use the same spectrum, there will be interference between D2D user equipment (DUE) and Cellular user Equipment (CUE). A well-designed radio resource allocation is needed to reduce the interference level, while maintaining the overall performance of the cell. In this research, Simplified Particle Swarm Optimization (SPSO) is proposed to overcome this problem. SPSO is a PSO-based algorithm with a limited number of iterations designed to halt calculations when the PSO algorithm cannot find a solution. If SPSO exceeds the limit iteration, a greedy algorithm is executed to do the allocation process. From the simulation, the SPSO algorithm can achieve 1.3310 × 108 bps, 12.3239 bps/Hz, 2.1328 × 103 bps/Watt and 92% on total sumrate, spectral efficiency, power efficiency, and system fairness respectively. These number is better if compared with the conventional greedy allocation algorithm. The total sumrate, spectral efficiency, and power efficiency are increased by 0.9%, 0.74%, and 0.95% in average datarate, spectral efficiency, and power efficiency respectively. Meanwhile the SPSO’s system fairness is decreased by 1.65% compared with the conventional greedy algorithm.
Analysis of Spatio-temporal PM2.5 and CO2 Concentrations Distribution with PSCF in the Greater Bandung Air Basin Andre Suwardana Adiwidya; Reza Mochamad Aziz; Muhammad Beno Afryan; Tania Christiana Alexandra; Mario Gilang Permadi; Nur Rawdotul Jannah; Dini Rizqi Amalia; Nur Putri Megalia Sopian; Vivian Lee; Rahmat Awaludin Salam; Indra Chandra
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 10 No 1 (2023): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v10i1.6003

Abstract

The limitations of expensive main monitoring stations can be addressed by using low-cost sensor-based measuring stations. A low-cost sensor-based air quality monitoring system has been implemented in Telkom University, BRIN Pasteur, and BRIN Taman Sari areas to measure PM2.5 and CO2 concentration in Bandung vertically and horizontally. Vertically, the CO2 concentration at the highest measuring station is indirectly affected by local activities. However, PM2.5 concentration is still influenced by local actions. Horizontally, using the independent T-test and ANOVA, PM2.5 concentrations tended to be homogeneous regarding the significance values in the four periods, namely 0.916, 0.03, 0.727, and 0.047. Meanwhile, the concentration of CO2 at each station tends to be heterogeneous along significance values of 0.646, 0.03, 0.02, and 0.01. The vertical and horizontal analysis shows that CO2 concentrations tend to be heterogeneous due to differences in altitude and spatial characteristics of the measurement sites. Meanwhile, PM2.5 tends to be more homogeneous by having the same pattern at different heights and spatial locations. The long-distance potential sources of PM2.5 are estimated to come from the Indian Ocean and Cirebon region because they have the highest PSCF and CWT values, 0.5-0.7 and 55-65 µg/m3.
Measurement of Motor Vehicle Emissions Based on Low-cost Sensors Michelle Kurniawan; Sopaheluwakan Alesandro Ardiles; Andre Suwardana Adiwidya; Annisa Zahwatul Ummi; Maulana Fauzan Athalla Halinda; Indah Cikal Al Gyfary Okthaviany; Deni Ali Marwan Gajah; Putri Naila Alyana Hidayat; Irvin Judah Lalintia; Prichel Adisatya Kampong; Rahmat Awaludin Salam; Indra Chandra
JMECS (Journal of Measurements, Electronics, Communications, and Systems) In Press Papers
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v10i2.6002

Abstract

One of the problems that occur in Indonesia is air pollution caused by the high intensity of citizen activity, especially most of which still use fossil-fueled motor vehicles to carry out their activities. The fossil fuel that is not burned perfectly can cause gas and particle pollution to form which can cause its amount to increase in the air and affect the environment. Therefore, measurement of motor vehicle emission tests based on low-cost sensors is conducted with CO, CO2, NO2, PM2.5, temperature, and humidity as its parameters. The usage of flow rate is addressed to the flow of the emission gas, which will be measured from an exhaust of a motor vehicle into the testing chamber and forwarded into the air for disposal. The flow rate used in this test ranges from 12-15 lpm. For that reason, the author performed the test for 10 minutes and got the average results of the measured parameters. The results are 1200 ppm for CO, 140000 ppm for CO2, and 80 °C for temperature (the show results are the average of the test results). The results shown are due to the small range of the low-cost sensor resulting in a huge difference.
Measurement of Motor Vehicle Emissions Based on Low-cost Sensors Kurniawan, Michelle; Ardiles, Sopaheluwakan Alesandro; Adiwidya, Andre Suwardana; Ummi, Annisa Zahwatul; Halinda, Maulana Fauzan Athalla; Okthaviany, Indah Cikal Al Gyfary; Gajah, Deni Ali Marwan; Hidayat, Putri Naila Alyana; Lalintia, Irvin Judah; Kampong, Prichel Adisatya; Salam, Rahmat Awaludin; Chandra, Indra
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 10 No. 2 (2023): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v10i2.6002

Abstract

One of Indonesia's primary causes of air pollution is the significant level of human activity, particularly the continued use of fossil-fuel-powered vehicles. The incomplete combustion of fossil fuels can lead to gas and particle pollutants forming, impacting the environment. However, the instruments utilized for detecting environmental pollutants are relatively expensive. Therefore, motor vehicle emission tests use low-cost sensors with parameters such as CO, CO2, NO2, PM2.5, temperature, and RH. The flow rate measures the emission gas flow extracted from a vehicle's exhaust into the testing chamber and then released into the air for disposal. The flow rate utilized in these tests ranges from 12 to 15 lpm. The tests are conducted over 10 minutes to ensure accuracy, obtaining average readings for the measured parameters. For the measurement results using a low-cost sensor, the average value for CO is 383.891 ppm, NO2 is 10.7237 ppm, CO2 is 5,254 ppm, PM2.5 is 50.25 ?g/m3, temperature and RH is 28.9 °C and 76%. The official test results obtained a CO value of 1,200 ppm, CO2 of 140,000 ppm, and a temperature of 80 °C. This difference is because the reading range of low-cost sensors is relatively small but has a stable data trend.
Analysis of Spatio-temporal PM2.5 and CO2 Concentrations Distribution with PSCF in the Greater Bandung Air Basin Adiwidya, Andre Suwardana; Aziz, Reza Mochamad; Afryan, Muhammad Beno; Alexandra, Tania Christiana; Permadi, Mario Gilang; Jannah, Nur Rawdotul; Amalia, Dini Rizqi; Sopian, Nur Putri Megalia; Lee, Vivian; Salam, Rahmat Awaludin; Chandra, Indra
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 10 No. 1 (2023): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v10i1.6003

Abstract

The limitations of expensive main monitoring stations can be addressed by using low-cost sensor-based measuring stations. A low-cost sensor-based air quality monitoring system has been implemented in Telkom University, BRIN Pasteur, and BRIN Taman Sari areas to measure PM2.5 and CO2 concentration in Bandung vertically and horizontally. Vertically, the CO2 concentration at the highest measuring station is indirectly affected by local activities. However, PM2.5 concentration is still influenced by local actions. Horizontally, using the independent T-test and ANOVA, PM2.5 concentrations tended to be homogeneous regarding the significance values in the four periods, namely 0.916, 0.03, 0.727, and 0.047. Meanwhile, the concentration of CO2 at each station tends to be heterogeneous along significance values of 0.646, 0.03, 0.02, and 0.01. The vertical and horizontal analysis shows that CO2 concentrations tend to be heterogeneous due to differences in altitude and spatial characteristics of the measurement sites. Meanwhile, PM2.5 tends to be more homogeneous by having the same pattern at different heights and spatial locations. The long-distance potential sources of PM2.5 are estimated to come from the Indian Ocean and Cirebon region because they have the highest PSCF and CWT values, 0.5-0.7 and 55-65 µg/m3.
Age Identification System with Panoramic Image Processing Digital Molar Dental Radiograph with Adaptive Region Growing Approach Method Fauzi, Hilman; Tsani, Fajri; Oscandar, Fahmi; Adzra, Faaiq Ammaria
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 10 No. 2 (2023): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v10i2.6365

Abstract

Forensics plays a crucial role in legal enforcement, particularly in cases where objects or human victims undergoing forensic identification have suffered significant damage. Teeth offer a robust solution in the identification process due to their resilience to various circumstances. Forensic odontology focuses on dental identification for judicial purposes. One crucial parameter in forensic odontology is age estimation. Generally, an individual's dental development is directly related to age, which can be observed through the dental pulp. The dental pulp tends to narrow or widen with increasing age. In this study, an image processing system using the Adaptive Region Growing Approach (ARGA) method was developed for dental pulp molar radiograph images. Subsequently, the dental pulp images were classified using the Support Vector Machine (SVM) method. The research process encompassed data collection, image processing, feature extraction, and molar dental pulp size classification. The results demonstrated an accuracy of over 80% in the system, using specific parameters such as an adjustment threshold of OTSU 1.15, a clip limit histogram Equalization of 0.1, a polynomial kernel type, and one against one coding type for data classification into four classes. This study concludes that the Adaptive Region Growing Approach (ARGA) method and Support Vector Machine (SVM) classification can be effectively implemented in age estimation using panoramic radiograph images. This has the potential for significant applications in forensic odontology, supporting victim identification in legal enforcement.