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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 82 Documents
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Design and Implementation System Automatic Guided Vehicle (AGV) Using RFID for Position Information Waldy, Ibnu; Rusdinar, Angga; Estananto, Estananto
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 1 No. 1 (2015): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v1i1.1481

Abstract

Manufactured goods distribution system is a very important part in the production chain. Delivery of goods from one point to another point affects the effectiveness of the production process. At the moment, most companies whose business are in manufacturing require automation, including distribution of goods. One application of automation in the distribution of goods is AGV (Automated Guided Vehicle). Companies need AGV that can move in complex pathways. The movement includes a selection of AGV path traversed and AGV terminal position. This research discusses the design and implementation of an AGV navigation and position information settings. AGV navigation uses fuzzy logic in its algorithm, while position setting of the AGV uses Radio Frequency Identification (RFID) to recognize the position of the robot at each terminal. From the testing result, the system obtained a success rate of 96% in movement of the robot from one terminal to another terminal using the RFID. RFID can be read at both speed of the robot i.e. 6.9 and 7.13 m/min
Interest Classification on Named Data Network Using the Supervised Learning Method Astuti, Sri; Mayasari, Ratna; Asror, Ibnu
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 11 No. 1 (2024): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v11i1.8100

Abstract

Named Data Network (NDN) is a next-generation network architecture that shifts the traditional data communications paradigm Unlike conventional networks that rely on IP addresses, NDN delivers content based on data names rather than specific locations. In NDN, consumers express their requests by sending interest packets containing content names. These names are then propagated through the network nodes, which forward them to the appropriate destinations. The forwarding strategy in an NDN network plays a crucial role in ensuring efficient data delivery. This strategy includes a set of rules that determine the next hop for each interest packet. These rules are designed to optimize the forwarding process, minimizing delays and improving network efficiency. However, if the forwarding strategy is implemented without accurately identifying the appropriate face (i.e., the network interface) to forward interests toward the producer or the nearest cache node, it can lead to significant delays and packet drops. This, in turn, negatively impacts Quality of Service (QoS) parameters and the overall performance of the NDN network. This study applies supervised learning to classify consumer-requested interests to overcome this issue. This technique leverages several related variables to accurately classify these interests. The outcomes of the conducted research demonstrated that raw data from the mini-NDN output can be processed and transformed into a usable dataset. This data is then utilized to train a classification model with supervised learning. In a scenario with 9 NDN nodes and varying numbers of interests, distributed both uniformly and according to Zipf's law, the Random Forest model performs effectively, achieving an accuracy rate of 86.2% with an error rate of 14.8%.
REAL-TIME MONITORING OF PLTS USING IOT TECHNOLOGY WEB-BASED supratno, setyo -; Habibie, Burhannudin Yusuf; Sugeng, Sugeng
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 11 No. 1 (2024): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v11i1.8146

Abstract

Conventional monitoring systems have several weaknesses, including limitations in acquiring real-time physical parameters, which impact performance. Additionally, human errors often hinder data quality, further compounded by the inability to respond swiftly to rapid changes in physical parameters due to diverse operating conditions. To address these challenges, an innovative method has been developed for solar panel current and voltage monitoring  using Internet of Things (IoT) technology. This system relies on the NodeMCU ESP8266 microcontroller and the INA219 sensor to monitor the current and voltage of the solar power system. Data obtained by the sensor is collected in real-time, stored in a cloud-based database, and visualized through a web platform. This allows users to monitor the system remotely and access solar panel performance information. Measurements indicate that discrepancies between manual and web-based data are within 2%. The average manual readings of PV voltage and current are 16.96 volts and 119.66 mA, while the web-based readings are 16.98 volts and 118.38 mA. The differences in voltage and current are 0.12% and 1.07%, respectively. The average battery voltage is recorded at 10.5 volts, while the DC motor load shows a voltage difference of 0.63% and a current difference of 1.15%. The battery power test also indicates a difference of 0.65%. This system is effective because it provides real-time access from any location, facilitates quick responses to anomalies, and supports maintenance planning by storing historical data.
IoT-Based Smart Monitoring and Controlling System for Shallot Planting Medium Conditions Using a Combination of Context-Aware and Fuzzy Logic Algorithms Pramudita, Brahmantya Aji; Meynako, Sisko; Ediananta, Muhammad Rafi; Budiman, Faisal
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 11 No. 1 (2024): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v11i1.8150

Abstract

Shallots are a high economic commodity that needs special attention because this plant is a high-risk horticultural commodity and is in the short-lived plant category. Moreover, shallot growth relies on environmental variables, such as temperature, soil moisture, soil pH, and humidity. However, Indonesian farmers have difficulties maintaining shallot growth since they only rely on the weather and do not use special equipment to measure the soil condition. Therefore, the monitoring and controlling system is required to be a solution for maintaining the growth parameters of shallot. This study proposed a system that could control and monitor the soil conditions of the shallot based on IoT technology and applied context-aware and fuzzy logic algorithms to control the actuator. The proposed system was developed to control the soil conditions using three specific liquids: neutral water, pH-lowering liquid, and pH-increasing liquid. These liquids were utilized to control the soil pH, soil temperature, and soil moisture. A microcontroller controlled them according to the context-aware algorithm analysis, and the data from the sensor was converted into context information. Then, fuzzy logic will use this information to control the liquid pump. The result can exhibit a high accuracy sensor with more than 0.9 of the coefficient determination, indicating that the sensor measurements perform similarly to the instrumentation devices as a reference. Moreover, the proposed system can successfully handle several conditions by utilizing the information processing of a context-aware algorithm and using it as control parameters of fuzzy logic.
Improvement of Ni/4H-SiC/Ti Schottky Diode Characteristic Post Annealing Process Ferdiansjah; Anung, Muharini
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 11 No. 2 (2024): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v11i2.8569

Abstract

Schottky diodes have been fabricated using 4H-SiC semiconductor with Ni and Ti metals functioning as Schottky and Ohmic contacts, respectively. The metal contacts were fabricated through DC sputtering process and followed by annealing treatment at 500°C for 30 minutes for one of the samples. Annealing treatment at this condition for Ni/4H-SiC/Ti Schottky diode has improved the quality of the diode. The improvement was marked by the decrease in saturation current from 3.27×10-9 A/cm2 to 2.78×10-9 A/cm2. Another parameter that is improving was its series resistance that decreased from 44.88 kΩ to 13.86 kΩ based on calculation using function F1 and 38.87 kΩ into 12.79 kΩ based on calculation using function F2. The difference in values between calculation using function F1 and F2 is only about 13%. Schottky Barrier Height and diode ideality factor also improved. The value of Schottky Barrier Height and diode ideality factor that have been calculated using I-V curve and Cheung’s method only vary slightly at about 13%. Hence it can be concluded that both calculation methods have produced consistent results across the data range and annealing process at 500°C for 30 minutes has been proven enhancing the diode quality.
Design Control and Monitoring System using the Fuzzy Mamdani Method on IoT-Based Air Conditioner Rumbaman, Wulan Nursyifa; Silalahi, Lukman Medriavin; Hassolthine, Cian Ramadhona; Muliati, Vika Febri; Haq, Fesa Asy Syifa Nurul
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 11 No. 2 (2024): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v11i2.8784

Abstract

The development of Air Conditioner technology to stabilize the temperature and humidity of the air in a room has affected human life activities. This research designed an automatic control system for air conditioning using the Fuzzy Mamdani method, because it is known that air conditioners have the largest cost burden compared to other electronic devices. Then, this research designed a control system consisting of a DHT22 Sensor as an input to detect the room temperature controlled by the ESP32. Furthermore, the results of data collection are analyzed using the Fuzzy Mamdani method so that the defuzzification output instructs the relay to take action, namely switching off to adjust the temperature degree and display data to the IoT platform, ThingSpeak. The results of this research show that the DHT22 sensor test was successfully calibrated with a hygrometer comparator with an error value of 0.4%. Then, the prototype design based on fuzzy rules has been successfully implemented with an error value of 9.2% from the manual comparison so that it is concluded that the deviation difference is still recommended. This indicates that the system effectively maintains desired environmental conditions while improving energy efficiency by reducing unnecessary AC usage. The results confirm the feasibility of implementing IoT-based fuzzy control systems for practical energy-saving applications.
Integration Model of Weighted Fuzzy Time Series, Relative Strength Index and Ichimoku Kinko Hyo in Gold Price Forecasting (Case Study: Gold Prices for the Period April 2017 - 2023) Indra, Dody; Agus Fachrur Rozy; Alya Fitri Syalsabilla
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 11 No. 2 (2024): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v11i2.8830

Abstract

Gold investment presents significant profit potential but is also associated with substantial risks, making gold price forecasting a critical challenge in financial market analysis. This study integrates Weighted Fuzzy Time Series (WFTS), Relative Strength Index (RSI), and Ichimoku Kinko Hyo (IKH) to enhance the accuracy of gold price predictions. WFTS is employed to address data uncertainty by modeling price movement patterns using fuzzy logic and historical weight-based data. RSI evaluates price fluctuations over a defined period to identify overbought or oversold conditions, while IKH identifies trends and key support and resistance levels. A comparative evaluation of WFTS and ARIMA across four standard error metrics demonstrates the superior performance of WFTS in gold price forecasting accuracy. WFTS achieves lower MAE (349.55 vs 355.05), smaller MSE (186,054.98 vs 188,203.37), lower RMSE (431.34 vs 433.82), and a more favorable MAPE (19.9% vs 20.0%) than ARIMA. With reduced absolute and squared errors, WFTS proves to be a more stable and reliable predictive model, offering greater effectiveness compared to ARIMA. The results indicate that WFTS forecasts an upward trend in gold prices, providing valuable insights for investors. IKH corroborates this trend through indicators such as the Conversion Line, Base Line, Lead Line A, and Lead Line B. Additionally, RSI calculations reveal an overbought signal between 2019 and 2021, suggesting potential selling opportunities. Furthermore, the gold price remained above the lower RSI threshold, indicating a probable price increase and offering investors profitable decision-making prospects.
Link Budget Simulation and Analysis for Cambium Radio in Telkomsat Radio IP Service Warnadi, Marchellius Fernando; Aliim, Muhammad Syaiful; Amalia, Norma
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 11 No. 2 (2024): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v11i2.8974

Abstract

The Final Project examines link budget calculations for Cambium brand radio devices using Link Planner to support Telkomsat’s transition from partner-managed to self-managed Radio IP services. A successful transition requires proper planning, including identifying equivalent radio devices and conducting link budget analysis. The process involves determining transmission distance, antenna height, and selecting suitable devices. Key parameters in the link budget calculation include Freznel Zone Clearance (FZC), Free Space Loss (FSL), Effective Isotropic Radiated Power (EIRP), Received Signal Level (RSL), System Operating Margin (SOM), Availibility (%), and Bandwidth (Mbps). Among 31 customers, 100% met standart EIRP values, 87% had good RSL, and 13% were very good. Additionally, 94% met SOM standards, while 6% fell into the poor category. Based on these result, it can be concluded that this research was successful, as the obtained result align with the established standards.
A Shopping Aid Device for the Visually Impaired Using Arduino Mega and Barcode Module RAMBE, MUHAMMAD ANUGRA RIZKY; Salryanto, Hurin Syatta Fikri Murda; Annisa Andriyana; Pabilang, Mutiara Sony
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 11 No. 2 (2024): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v11i2.9033

Abstract

Over the past five years, the number of blind and visually impaired (BVI) individuals in Indonesia has reached approximately 3.6 million in 2023. Based on interviews with Indonesian Union for the Visually Impaired (PERTUNI), it was found that blind and visually impaired (BVI) individuals often face limited independence, leading to reduced self confidence. A common challenge is daily grocery shopping, where they frequently require companions, and the absence of such support makes it difficult to ensure that the selected products are correct. PERTUNI also highlighted that assistive devices for this kind of problem are rarely developed, despite being urgently needed by almost all BVI individuals. To address this gap, we developed Drishti, a compact and portableassistive system specifically designed to support shopping activities by detecting product names through barcode recognition and providing audio feedback. Unlike most existing assistive devices that rely on camera based systems, Drishti employs a dedicated barcode sensor. In addition, the system is designed to be lightweight and operating without internet connectivity, ensuring usability anytime and anywhere. Drishti also functions as a validator, aiming to enhance the confidence and comfort of BVI individual during shopping. The prototype demonstrated a 67% accuracy rate in detecting products with EAN type barcodes under various lighting conditions and product states, while maintaining clear audio feedback across all trials. These results position Drishti as a promising prototype that can be further developed to enhance the shopping independence of BVI individuals
Capacitance Distribution Analysis Using Wire Mesh Sensor 16×16:: A Fluid Detection Case Study in an Industry Exhaust Pipe Andiani, Linahtadiya; Utami, Amaliyah R.I
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 8 No. 2 (2021): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v8i2.4268

Abstract

The Wire Mesh Sensor (WMS) is a tomography-based sensor that generates an image of the free space distribution in multiphase flow. The resulting distribution image can be the capacitance distribution pattern is detected by the electrode, which is dependent on the fluid parameters. Based on the concepts, the system may be an alternative option for the early detection of waterways. The goal of this study is to evaluate the performance of the WMS system in an industrial exhaust pipe. The ability of the system to identify fluids is determined using the capacitance distribution analysis from the WMS measurement. An exhaust pipe is modeled as a cylinder phantom and simulated to visualize the capacitance distribution. The WMS technique is used on a phantom made up of a homogeneous and inhomogeneous medium with changing fluid differences. The capacitance distribution of each fluid in the phantom is different. It is caused by differences in the relative permittivity of each fluid. The performance of the WMS system is evaluated by looking at the capacitance distribution changed as the geometry of the fluid volume varied. Based on the results, the WMS system is shown to be capable of easily distinguishing variations in fluid volume percentage.

Page 8 of 9 | Total Record : 82

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