cover
Contact Name
Machrus Ali
Contact Email
machrus7@gmail.com
Phone
-
Journal Mail Official
jeerifortei@fortei.org
Editorial Address
Electrical and Information Technology Engineering Departement. Komplek Fakultas Teknik UGM, Jl. Grafika No.2, Yogyakarta, Senolowo, Sinduadi, Kec. Mlati, Kota Yogyakarta, Daerah Istimewa Yogyakarta 55281
Location
Kota malang,
Jawa timur
INDONESIA
Journal FORTEI-JEERI
ISSN : 27226956     EISSN : 27226948     DOI : 10.46962
Power System; Electric Power Generation, Transmission and Distribution, Power Electronics, Power system analysis, Protection system, Power Quality, Electrical machine and drives, Power Economic, Renewable Energy, Condition Monitoring and Diagnostics, and Energy Systems. Automation and Control; Instrumentation system, transmitter, industrial process control, PLC, SCADA, DSC, IoT in Industrial Automation, Optimal, Robust and Adaptive Controls, Non Linear and Stochastic Controls, Modeling and Identification, Robotics, Image Based Control, Hybrid and Switching Control, Process Optimization and Scheduling, Control and Intelligent Systems, Artificial Intelligent and Expert System, Fuzzy Logic and Neural Network, Complex Adaptive Systems. Electronic and Microelectronics; Electromagnetic compatibility, devices and systems, microelectronics, micro- and nanofabrication of electronic devices, circuits and systems for electronics, electro mechanics and robotic, bioelectronics. Computer Engineering; Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, VLSI Design-Network Traffic Modeling, Performance Modeling, Dependable Computing, High Performance Computing, Computer Security. Informatic and Software Engineering; Information Search Engine, Multimedia Security, Computer Vision, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Next Network Generation, Computer Network Security, Natural Language Processing, Business Process, Cognitive Systems. Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods), Programming (Programming Methodology and Paradigm), Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data). Telecommunication Engineering; Antenna and Wave Propagation, Modulation and Signal Processing for Telecommunication, Wireless and Mobile Communications, Information Theory and Coding, Communication Electronics and Microwave, Radar Imaging, Distributed Platform, Communication Network and Systems, Telematics Services, Security Network, and Radio Communication. Signal Processing; Digitization (sampling in time and quantizing in amplitude), Band-pass and base-band filtering, Beamforming (spatial filtering), Matched filtering and/or incoherent integration, Detection, classification, localization, and tracking. Biomedical Engineering; Biomedical Physics, Biomedical Transducers and instrumentation, Biomedical System Design and Projects, Medical Imaging Equipment and Techniques, Telemedicine System, Biomedical Imaging and Image Processing, Biomedical Informatics and Telemedicine, Biomechanics and Rehabilitation Engineering, Biomaterials and Drug Delivery Systems.
Articles 16 Documents
Hybrid Design Optimization of Heating Furnace Temperature using ANFIS-PSO Machrus Ali; Hidayatul Nurohmah; Rukslin; Dwi Ajiatmo; M Agil Haikal
Journal FORTEI-JEERI Vol. 1 No. 2 (2020): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.799 KB) | DOI: 10.46962/forteijeeri.v1i2.21

Abstract

-- Intelligent control design for industrial heating furnace temperature control is indispensable. PID, Fuzzy, and ANFIS controllers have been proven reliable and have been widely used. However, it is constrained in choosing a better gain controller. Then an approach method is given to determine the most appropriate controller gain value using the artificial intelligence tuning method. The artificial intelligence method used is a combination of the Adaptive Neuro Fuzzy Inference System and Particle Swarm Optimization (ANFIS-PSO) methods. As a comparison, several methods were used, namely; Conventional PID (PID-Konv), Matlab Auto tuning PID (PID-Auto), PSO tuned PID (PID-PSO), and Hybrid ANFIS-PSO. The ANFIS-PSO controller is the best choice compared to conventional single loop control systems, conventional PID, and matlab 2013a auto tuning methods to control this nonlinear process. The simulation results show that the ANFIS-PSO design is the best method with overshot = 0.0722, undershot 0.0085, and settling time at 18.8789 seconds which can produce a fast response with strong dynamic performance.
The MAPWE-Boosted AEKF with Recursive-Against-Iteration Noise Statistic for Feature-Based SLAM Algorithm Heru Suwoyo
Journal FORTEI-JEERI Vol. 2 No. 1 (2021): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/forteijeeri.v2i1.22

Abstract

The unknown noise statistic might degrade the Filter performance or even lead to filter divergence. Accordingly, to enhance the classical EKF to approximate the recursive process and measurement noise statistic, based on Maximum A Posteriori creation and Weighted Exponent (WE) as the divergence suppression method, abbreviated as MAPWE, an adaptive EKF is proposed through this paper. Moreover, the existence of simplification during estimating noise statistics under MAP creation might also degrade its quality. Thus, the suboptimal MAP solution was also estimated based on Weighted Exponent. Indeed, the time-varying noise statistic under this process seems strongly accurate. But the complexity of the measurement covariance might also diverge from its positive definite characteristic. Thus, aiming to prevent this condition, the additional divergence suppression method was also involved in correcting the error state covariance in the smoothing step. This improvement is then used as SLAM algorithm for a mobile robot. Comparing to the conventional methods, it is better in term of RMSE for the estimated path and estimated map.
Traffic Light Control System With Image Segmentation Technique and Pattern Matching Technique Using NI myRIO Anugrah, Rizki; Andang, Asep; Sugiartana Nursuwars, Firmansyah Maulana
Journal FORTEI-JEERI Vol. 6 No. 1 (2025): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/forteijeeri.v6i1.26

Abstract

Traffic congestion is still a serious problem in many big cities in Indonesia, one of which is due to traffic light settings that are less adaptive to vehicle conditions on the road. This research aims to design and analyze the performance of an adaptive traffic light control system with image segmentation and pattern matching techniques using NI myRIO. The tests include selecting the optimal resolution, comparing fps with webcam input and AVI video, determining the best camera angle, and testing the system in bright, dim, empty streets, and early morning conditions. The results showed that a resolution of 176 × 144 and a camera angle of 90° provided the best performance. AVI video can be used as an alternative in system testing as the results are similar to webcam. The system performed optimally in bright conditions with an F-1 Score of 79.33% and a match rate score of 100% with an average fps of 9.93 fps. However, in dim conditions the performance decreased with an F-1 Score of 69.33% and a Match Rate Score of 41.67% with an average of 10.25 fps. In empty streets and early morning conditions, the system can still operate but sometimes experiences processing delays.
Forecasting Joule Thief Efficiency Using Fuzzy Logic Method Jamaaluddin, Jamaaluddin; Akbar, Ilham Yusuf; Hadidjaja, Dwi; ahfas, Ahmad
Journal FORTEI-JEERI Vol. 6 No. 1 (2025): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/forteijeeri.v6i1.29

Abstract

The electrical device is initially require energy to operate now gradually began to change with a device that could save electricity and more environmentally friendly,Eifisien is the ratio between the input (input) and output (between benefit with the resources used. Joule Thief has the potential to become an innovation because it is able to generate electrical energy through the development of electrical components that generate electromagnetic fields in coils or coils. Where in this analysis using using fuzzy logic to analyze the efficiency of Joule Thief. Of testing and research that has been downLighted lamps old forecasting for the Joule Thief circuit on the primary winding 10 and secondary winding 17 obtained the value of the average percentage error 0.2994, Then on the primary winding and the secondary winding 5 7 Average values obtained percentage error 0434 as well as on the primary winding 5 and the secondary winding 20 obtained average value percentage error 0.8711, Based on these data also concluded that the Joule Thief with the primary winding 10 and secondary winding 17 is the most efficient because it has an average percentage of a small error is 0.2994.
Design of Smart Hydroponics Based on Internet of Things (IoT) Using Rule-Based System on Hydroponic Wick System Prasetyoaji, Mukhamad Rio Eka; Anifah, Lilik
Journal FORTEI-JEERI Vol. 6 No. 1 (2025): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/forteijeeri.v6i1.34

Abstract

This research develops an IoT-based intelligent hydroponic system to monitor and control nutrient and pH levels in wick-type hydroponic cultivation. The system uses an ESP32 microcontroller integrated with an MQTT-based IoT platform for real-time monitoring and automation. The rule-based system classifies plant conditions and controls actuators based on pH and nutrient levels. Experimental testing shows that the TDS and pH sensors work well. Using the two-factor correction method, the TDS sensor achieved high accuracy with a maximum error of 0.08% within the optimal range of 1,050-1,400 ppm. The pH sensor maintains an error below 2% within the ideal range of 5.5-6.5. The system supports automatic and manual pump control. QoS evaluation of MQTT communication showed stable performance with average throughput of 36.38 kbps (QoS 0), 2.54 kbps (QoS 1), and 1.55 kbps (QoS 2); delays of 762.68 ms, 1053.3 ms, and 1433.12 ms; and jitter of 26.91 ms, 28.44 ms, and 35.62 ms. Packet loss was 0% at all QoS levels, indicating reliable data transmission. Overall, the system improves monitoring accuracy and control efficiency, offering a practical solution for real-time automated hydroponic cultivation to support urban food security.
Internet of Things-Based Worker Physical Condition Monitoring Ramadhina, Wansyka; Anifah, Lilik
Journal FORTEI-JEERI Vol. 6 No. 2 (2025): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/forteijeeri.v6i2.37

Abstract

The weather conditions are uncertain, which impact performance, occupational health, and safety. To reduce the risk of fatal work accidents, the most important thing is to monitor the physical condition of workers. This research focuses on designing and implementing a real-time IoT-based system for monitoring the physical condition of workers. The system is based on three primary indicators: body temperature, heart rate, and Oxygen saturation. The MLX90164 sensor is used for measuring body temperature, while the GY-MAX30100 sensor is used for measuring heart rate and Oxygen saturation. ESP32 as a microcontroller, and then the data is displayed on the MQTT IoT Panel application on a smartphone and OLED display. The test was done to evaluate the performance of the sensor, device, and data transmission. The test results indicate that the system is running well in terms of network performance. The Quality of Service test for the MQTT Protocol indicated that QoS 0 achieved the highest throughput at 694,94 Kbps. In contrast, QoS 2 has the highest jitter and delay, measuring 4,11 ms and 4,007 ms respectively. There was no packet loss across all QoS levels. The device test also shows a low error value, which is below 4%.

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