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Pengembangan Trainer Kendali PID pada Sistem Fisik Elektrik Terintegrasi Aplikasi Pemograman Grafis Rozani, Elvyra Jovanka; Sunarya, Adhitya Sumardi; Suryatini, Fitria
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4320

Abstract

Increased competencies in control systems are essential for the future of higher education in this field. Polytechnic Manufacturing Bandung aims to enhance the educational process by integrating theory and practice in automation and mechatronics, as reflected in their project-based learning curriculum. Previously, they created a trainer model for control systems that could only be read analogously with an oscilloscope, which was deemed insufficient for implementing control theory. Therefore, a physical trainer for electrical systems with an interface display and integrated PID controls is needed. Fifteen students evaluated this trainer using the Likert scale based on the EMPI approach, resulting in an average interface presentation score of 83.2%. This indicates that the physical trainer with PID controls and a graphical programming interface effectively represents control theory and supports the learning process.
Optimasi kendali PID kecepatan motor DC dengan metode tuning particle swarm optimization Suryatini, Fitria; Sunarya, Adhitya Sumardi; ‘Amilin, Qisthon Khairul
JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Vol. 5 No. 1: March 2025
Publisher : Jurusan Teknik Elektro, Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/jitel.v5.i1.2025.57-66

Abstract

Motor DC merupakan aktuator elekromagnetik yang mengubah energi listrik menjadi energi mekanik dan banyak digunakan dalam industri. Meskipun kecepatan putarnya dapat dikendalikan dengan mudah, performa sistem harus tetap dijaga agar optimal. Proportional-Integral-Derivative (PID) merupakan salah satu metode yang sering digunakan dalam pengendalian motor DC. Namun, tantangan utama dalam metode PID adalah tuning (penyetelan) parameter, yaitu menentukan nilai Kp, Ki, dan Kd agar menghasilkan performa yang optimal. Dalam penelitian ini, penyetelan parameter PID dilakukan menggunakan algoritma Particle Swarm Optimization (PSO) untuk memperoleh kendali kecepatan motor DC yang lebih optimal. Selain itu, penelitian ini juga membandingkan performa tuning PSO dengan tuning Ziegler-Nichols 2 (ZN 2). Sistem ini menggunakan LabVIEW sebagai perangkat lunak antarmuka serta NI ELVIS II sebagai perangkat keras pengontrol dan akuisisi data. Metode kendali yang digunakan berupa sistem kendali umpan balik dengan keluaran berupa kecepatan motor DC. Hasil penelitian menunjukkan bahwa sistem kendali kecepatan motor DC dengan metode tuning PSO menghasilkan rise time 5 detik dan settling time 7 detik. Metode tuning ZN 2 menghasilkan rise time 8 detik, dan settling time 11 detik. Sementara itu, metode tuning trial and error menghasilkan rise time 7 detik dan settling time 12 detik.  Hasil ini menunjukkan bahwa metode tuning PSO mampu meningkatkan performa kendali kecepatan motor DC dibandingkan metode ZN 2 dan trial and error, dengan respons waktu yang lebih baik.
Indoor Positioning Based on ROS Using an Ultra- Wideband System YUNITA, TRASMA; RIFA’I, AFAF FADHIL; RIDWAN, MUHAMMAD; SURYATINI, FITRIA; BUDIYARTO, ARIS
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 1: Published January 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i1.100

Abstract

Numerous technologies employ indoor positioning applications, including Ultrawideband (UWB) technology that requires excellent accuracy. This research aims to enhance indoor location accuracy in UWB technology with the NodeMCU-UWBBU01 module by integrating a two-way ranging algorithm, moving average technique, and trilateration. The distance between two modules can be determined using the two-way ranging algorithm's Time of Flight (ToF) signal. The moving average approach filters the ToF signal processed on the Robotic Operating System platform for robot movement. The trilateration method converts the distance into position coordinates as the end output. In static and dynamic accuracy assessments, the maximum error in measurement findings is 4.3% within 50 cm to 600 cm. In evaluating coordinate reading accuracy, the mean error is 1.2% on the X-axis and 3.13% on the Y-axis.
Implementation of HSV Algorithm for Speed Synchronization of Robot Arm and Conveyor LILANSA, NOVAL; SURYATINI, FITRIA; WAHIDIN, DEDE MOCH. DINAR
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 2: Published April 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i2.170

Abstract

Conveyors and robotic arms are often combined in industries for pick-and-place applications. In pick-and-place operations involving a moving conveyor and a robotic arm, accuracy in performing the task heavily depends on the object's coordinate position and the conveyor's speed. This study proposes using the HSV (Hue, Saturation, Value) algorithm and a webcam to synchronize the speed between the robotic arm and the moving conveyor. The HSV algorithm detects objects based on color and enables high-accuracy conveyor speed calculation. The research results show that the system can perform pick-and-place operations with a 90% success rate across various object coordinate positions and different conveyor speeds. Implementing the HSV algorithm provides an efficient solution to enhance accuracy in pick-and-place operation systems.
Feedforward–Feedback Fuzzy-PID Water Level Control using PLC and Node-RED IoT Sunarya, Adhitya Sumardi; Suryatini, Fitria; Nuryanti, Nuryanti; Harist M, Abdur Rohman; Anaisabury, Gailan
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 2 (2025): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i2.3066

Abstract

Water level control is vital in industrial processes to maintain operational stability and efficiency, especially against varying disturbances like changes in water inflow and outflow. This research proposes a combined feedforward–feedback control system using a Fuzzy-PID algorithm implemented on an Omron CP1H PLC, integrated with an IoT-based Node-RED monitoring interface. The system is designed to improve response accuracy and disturbance recovery in water level control applications. An experimental method was used to evaluate the performance of the proposed control system against conventional single-feedback control under varied disturbance scenarios. The results indicate that the combined control achieved a lower average steady-state error (0.67%) compared to feedback-only control (1.12%), faster recovery time (3 seconds vs. 6.3 seconds), and no overshoot. The integration of flow sensors as feedforward inputs enabled earlier detection and correction of disturbances before they impacted the water level. Additionally, the Node-RED interface allowed real-time monitoring and remote control, enhancing usability and supporting Industry 4.0 standards. While the system demonstrated improved stability and responsiveness, some oscillations remained due to sensor signal noise, suggesting a need for improved filtering techniques. This study contributes a practical and scalable solution for adaptive water level control, combining intelligent control strategies with IoT capabilities. It offers a foundation for future implementations in dynamic industrial environments that demand high reliability and remote accessibility.
Control System for Watering and Lighting of Chrysanthemum Plants in IoT-Based Greenhouse melani, meikeu; Aminah, Siti; Suryatini, Fitria
Emitor: Jurnal Teknik Elektro Vol 25, No 2: July 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i2.11063

Abstract

Indonesia is a rapidly developing horticultural country, with ornamental plants such as orchids and chrysanthemums contributing significantly to its horticultural economy. To improve the quality of these ornamental plants, an automatic control system is needed to regulate environmental parameters such as soil moisture and lighting. This study developed an automatic control system based on the Internet of Things (IoT) and fuzzy logic to monitor and manage lighting and soil moisture in a greenhouse according to the plant’s growth phase. The system utilizes an ESP32 microcontroller, a light sensor, and a soil moisture sensor, with data transmitted to the Firebase platform and displayed via an Android application built with Kodular. The test results show that the system performs well. The soil moisture sensor achieved an average accuracy of 82.33%, while the calibrated light sensor using linear regression reached an accuracy of 98.15%. The fuzzy logic control system on the microcontroller showed an average error of only 4.35% compared to MATLAB simulations, with a stable irrigation response (1 minute 12 seconds delay, 4 minutes 31 seconds rise time, and 6 minutes settling time without overshoot). The use of LED lighting significantly enhanced the vegetative growth of chrysanthemum plants. The Android application functioned optimally across all key features, and the communication system was successfully tested over a distance of more than 160 km without disruption. These findings demonstrate that the proposed system is effective for intelligent and efficient plant monitoring and management in a greenhouse environment.
Water Temperature Control System With PID Control Method and Fuzzy Logic Based on SCADA sholeh, firma dilla; Suryatini, Fitria; Wisma Nugraha, Nur; Lilansa, Noval
Emitor: Jurnal Teknik Elektro Vol 25, No 2: July 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i2.11064

Abstract

The process of heating water to a certain temperature is commonly found in various industries, such as the chemical or food and beverage industries. This water heating is used to improve product quality, but temperature changes often become unstable due to external disturbances. Therefore, to ensure that the water temperature in the tank reaches the desired point with a fast and stable response, a PID controller or fuzzy logic controller is required. In water temperature control systems, the use of fuzzy logic in nonlinear systems is more effective than PID. Therefore, this study aims to compare the Ziegler-Nichols PID control method with the Sugeno fuzzy logic method to determine the appropriate and efficient control method. By examining the system stability and transient response of the water temperature controller as test parameters, it is hoped that the effects of these control methods will be beneficial for industrial implementation, thereby achieving good product quality based on SCADA Wonderware InTouch for monitoring, controlling, and modeling. The comparison between the Ziegler-Nichols PID and Sugeno Fuzzy Logic concludes that the use of Fuzzy Logic controllers has smaller error values and faster and more efficient system responses compared to PID in achieving the desired set temperature of 24 ºC in the experiment.
Design and Construction of 100 WP Capacity Tracker Solar Panel using VDI 2206 Method HARJA, HERMAN BUDI; DIRATAMA, MOHAMMAD YAZID; SURYATINI, FITRIA; FATURROHMAN, MUHAMMAD; NOVIANDANI, PRADIKA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 3: Published July 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i3.243

Abstract

There are main issues in optimizing the energy conversion of solar panels, including (1) the movement of the sun's position and (ii) the best capability of solar panels to capture sunlight, which must be perpendicular to the sun's rays. The objective of this research is to conduct a study into the design and development of a solar panel tracking system, specifically to obtain the effectiveness value of the tracking system. The VDI 2206 method is used in the design, which integrates three main systems: mechanical, electronic, and information technology. Based on the test results, the performance of the solar panel tracker increased by 48.38%. With a tracking system power requirement of 5.51%, the percentage increase in the net energy gain of the tracker solar panel is 40.2% compared to static solar panels. Therefore, solar panel systems equipped with tracking devices are more effective and efficient compared to static solar panels.
SMART ANDON SYSTEM BASED ON INDUSTRIAL INTERNET OF THINGS (IIOT) Purnomo , Wahyudi; Maulana, Gun Gun; Suryatini, Fitria; Sunarya, Adhitya Sumardi
Jurnal Rekayasa Mesin Vol. 15 No. 2 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i2.1532

Abstract

In many industrial settings, there are several problems that can arise during the production process. These include machine breakdowns, quality issues, and unexpected delays, which can impact productivity, reduce overall efficiency, and result in lower quality output. In addition, without an effective monitoring system, it can be difficult to identify the root causes of these problems and take appropriate corrective actions.To address these challenges, the implementation of a smart andon system can be highly beneficial. This system enables real-time monitoring of the production process, allowing operators and management to quickly identify and respond to any issues as they arise. By providing instant notifications and alerts, the smart andon system can help reduce downtime, increase productivity, and improve product quality. It also enables more accurate and comprehensive data collection, facilitating better analysis and decision-making by management. Overall, the smart andon system can play a critical role in improving operational efficiency, reducing costs, and enhancing overall competitiveness in today's highly competitive industrial landscape.the implementation of a smart andon system has been shown to improve production efficiency, reduce downtime, and increase overall equipment effectiveness (OEE). The system allows for real-time monitoring of the production process, early detection of problems, and quick resolution of issues through timely alerts and notifications. This can result in significant cost savings for the industry, improved product quality, and increased customer satisfaction.
Implementation of an automatic monitoring system using electromagnetic induction parameters to enhance hot forging quality Maulana, Gun Gun; Martawireja, Abdurrahman Harits; Suryatini, Fitria
Jurnal Polimesin Vol 23, No 4 (2025): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i4.3313

Abstract

This research presents the implementation of an automatic monitoring system using electromagnetic induction parameters to enhance the quality of heating processes in hot forging industries. Efficient heating is essential in industrial applications, particularly during the production stage of hot forging. To ensure consistent product quality and optimize energy efficiency, accurate and responsive monitoring is required. The proposed system integrates electromagnetic induction sensors to capture, in real time, the physical characteristics of heated AISI 4140 Bolt M24 × 100 mm (±0.35 kg). Sensor data are processed using intelligent algorithms to identify critical parameters such as temperature, heat distribution, and optimal heating time. Based on these results, the system automatically adjusts heating parameters, thereby ensuring consistent product quality and improved energy efficiency. The results indicate that the system, supported by a Human–Machine Interface (HMI), Programmable Logic Controller (PLC), and infrared temperature sensors, was effectively implemented. It demonstrated real-time monitoring of process parameters with no detected errors, smooth data transfer between components, and reliable temperature display on the HMI with an average delay of only 1.1 seconds. This research provides an integrated solution to improve hot forging quality, reduce energy waste, and accelerate production cycles, contributing to more intelligent heating control systems for industrial applications.