Research on Instrumentation
Aim and Scope Research on Instrumentation is a scientific journal that aims to provide a comprehensive platform for the dissemination of research and advancements in the field of instrumentation. Its focus is on analog and digital circuit design, measurement systems, control systems, antennas and wave propagation, electromagnetic, and other relevant areas. The journal welcomes original research articles, review papers, and technical notes that contribute to the development and application of instrumentation in various engineering and scientific disciplines. Scope: Analog and Digital Circuit Design: Research on the design, optimization, and application of analog and digital circuits in instrumentation. This includes, but is not limited to, analog-to-digital and digital-to-analog converters, signal conditioning circuits, and mixed-signal integrated circuits. Measurement Systems: Advances in the development of systems and methodologies for precise and accurate measurement in various environments. Topics may include sensor technology, data acquisition systems, signal processing techniques, and calibration methods. Control Systems: Innovations in control system design, including feedback and feedforward control, adaptive and robust control, and applications of control theory in instrumentation. This also covers real-time control systems and embedded systems design. Sensors and Actuators: The design, development, and application of sensors and actuators in instrumentation. This includes studies on sensor materials, sensor networks, MEMS-based sensors, and their integration into complex systems. Signal Processing: Research on advanced signal processing techniques for instrumentation systems, including noise reduction, filtering, data compression, and pattern recognition. Embedded Systems: Studies on the integration of embedded systems in instrumentation, focusing on hardware-software co-design, real-time computing, and the development of low-power and high-performance systems. Test and Calibration Methods: Development of innovative testing and calibration techniques for instrumentation systems, ensuring accuracy, reliability, and repeatability in measurements. Applications of Instrumentation: Papers exploring the application of advanced instrumentation in fields such as industrial automation, medical devices, environmental monitoring, telecommunications, and aerospace engineering. Electromagnetic, Antenna and Wave Propagation: Antennas—covering their analysis, design, development, measurement, and testing—as well as radiation, propagation, and how electromagnetic waves interact with both discrete and continuous media. Additionally, the journal addresses applications and systems related to antennas, propagation, and sensing. These include applied optics, millimeter- and sub-millimeter-wave techniques, antenna signal processing and control, radio astronomy, and the propagation and radiation aspects of terrestrial and space-based communication. The Research on Instrumentation is dedicated to advancing the field by publishing high-quality research that drives innovation and facilitates the application of cutting-edge instrumentation techniques across various industries. Contributions that explore interdisciplinary approaches and emerging technologies are highly encouraged.
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<![CDATA[Experiment Tool Development of Circular Motion Experiment with Belt-Connected Wheels Using Hall Effect Sensor Based on IoT ]]>
<![CDATA[Yuhelmi Farah Difa]]>;
<![CDATA[Yulkifli]]>;
<![CDATA[Asrizal]]>;
<![CDATA[Yenni Darvina]]>
<![CDATA[ Research on Instrumentation Vol. 1 No. 2 (2024): Research on Instrumentation ]]>
Publisher : <![CDATA[RESSTECH ]]>
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DOI: 10.66926/rins.2024.11
<![CDATA[Innovation in educational tools is crucial for improving the learning experience in physics experiments. This study presents the design and development of an IoT-based experimental tool for analyzing wheel dynamics. The tool integrates microcontrollers and sensors to accurately measure both angular and linear velocities. By varying wheel sizes and controlling rotation speeds, students can explore the relationship between speed, size, and motion. Real-time data transmission via smartphones ensures accessibility and efficiency in analyzing wheel dynamics during experiments. The system incorporates a KY-024 Hall effect sensor that detects wheel movements through digital signals generated by magnets. Data is collected in real-time and sent to an IoT platform for further analysis, allowing precise comparisons between experimental and theoretical values. The tool supports three configurations: contacting wheels, concentric wheels, and belt-connected wheels, enabling comprehensive exploration of wheel mechanics. Experimental results demonstrate high accuracy, with angular velocity measurements exceeding 98,00% across configurations. Contacting wheels achieve accuracy levels of 97,68% and 98,34%, concentric wheels maintain 98,34%, and belt-connected wheels exhibit slight variations at 98,34% and 97,65%. This IoT-integrated system offers a reliable, precise, and versatile approach to understanding wheel dynamics, making it a significant asset for enhancing educational physics experiments.]]>
<![CDATA[Linear momentum and impulse experimentation tool using infrared and load cell sensors based on Internet of Things ]]>
<![CDATA[Zahrotiy Irsyad]]>;
<![CDATA[Yulkifli]]>;
<![CDATA[Asrizal]]>;
<![CDATA[Yenni Darvina]]>
<![CDATA[ Research on Instrumentation Vol. 1 No. 2 (2024): Research on Instrumentation ]]>
Publisher : <![CDATA[RESSTECH ]]>
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DOI: 10.66926/rins.2024.15
<![CDATA[Microcontrollers can be utilized in the field of physics education as a component to develop physics experimental tools. This research aims to design and build an experimental tool that can be used to measure linear momentum and impulse with high accuracy, using Internet of Things technology. This tool utilizes infrared sensors and load cells as the main components in the measurement. The infrared sensor is used to detect the speed of the object, while the load cell is used to measure the mass of the object. The data obtained from these two sensors is sent in real-time through the IoT platform. This tool is designed to make it easier for users, especially in the educational environment, to conduct physics experiments related to momentum and impulse more efficiently and effectively. From the research that has been done, the results of performance specifications on the experimental tool and design specifications on the experimental tool are obtained. The results of performance specifications, the sensors used have good linearity with R-Square values of 0.99849, electronic circuits using various components, and blynk interfaces to display data. The results of the design specifications have an accuracy rate of 96,781% and a high measurement accuracy of 99.002% and 93.567%.]]>
<![CDATA[Design of a 5 GHz Microstrip Bandpass Filter Using the Coupled Line Method for Synthetic Aperture Radar (SAR) ]]>
<![CDATA[Syukri Fajrin]]>;
<![CDATA[Asrizal]]>;
<![CDATA[Mona Berlian Sari]]>;
<![CDATA[Khairi Budayawan]]>
<![CDATA[ Research on Instrumentation Vol. 1 No. 2 (2024): Research on Instrumentation ]]>
Publisher : <![CDATA[RESSTECH ]]>
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DOI: 10.66926/rins.2024.18
<![CDATA[The remote sensing system, commonly referred to as radar, enables the monitoring of the Earth's surface by transmitting and receiving reflected microwave signals. With advancements in technology, remote sensing systems can now produce visual outputs in the form of 2D and even 3D images with high resolution. Synthetic Aperture Radar (SAR) has become one of the preferred methods for remote sensing. Using microwave signals, SAR radar is not exempt from disturbances such as out-of-band frequencies, interference, and other issues, which result in unclear radar images and noise. Therefore, a bandpass filter is required to filter signals in SAR radar systems. The proposed filter is designed using a microstrip layout. Microstrip filters offer advantages such as ease of design, the ability to operate at higher frequencies, low profile, and easy integration with other devices. The filter is designed using the couple line method, with a substrate having a dielectric constant of 2.17 and a thickness of 1.6 mm. The proposed design is tailored to the characteristics of SAR, targeting a filter frequency of 5 GHz with a narrow bandwidth of approximately 10 MHz. Simulation results indicate that the filter achieves a center frequency of 5.01 GHz, a bandwidth of 50 MHz, an insertion loss of -2.7 dB, and a return loss of -28 dB. Measurements of the fabricated filter show a center frequency of 5.03 GHz, a bandwidth of 18 MHz, an insertion loss of -2.8 dB, and a return loss of -15.11 dB. Based on these findings, the microstrip bandpass filter designed using the couple line method can be effectively used for SAR applications.]]>
<![CDATA[Development of Microstrip Low-Pass Filter for Weather Radar ]]>
<![CDATA[Razu Alfurkan Hamdi]]>;
<![CDATA[Pakhrur Razi]]>;
<![CDATA[Mairizwan]]>
<![CDATA[ Research on Instrumentation Vol. 1 No. 2 (2024): Research on Instrumentation ]]>
Publisher : <![CDATA[RESSTECH ]]>
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DOI: 10.66926/rins.2024.45
<![CDATA[This study aims to design and fabricate a microstrip-based lowpass filter optimized for weather radar applications at a working frequency of 2 GHz. This lowpass filter is designed using an NPC H220A substrate, which has a dielectric constant of 2.2 and a thickness of 1.6 mm. The selection of this substrate is based on its ability to produce stable performance at high frequencies and has material characteristics that support component miniaturization. The methodology used includes initial design using electromagnetic simulation software to determine the optimal dimensional parameters of the microstrip filter. After that, the fabrication process is carried out based on the simulation results, followed by filter performance testing through S-parameter measurements. The test results show that the designed filter successfully reaches a cutoff frequency of around 2 GHz with low insertion loss, and provides a significant signal reduction at frequencies above the cutoff. This indicates that the filter made has good ability to filter unwanted high-frequency signals, according to the needs of weather radar applications. Overall, this study has succeeded in producing a microstrip lowpass filter that meets the expected technical specifications, so that it can be applied in weather radar systems to improve the accuracy and efficiency of weather signal detection]]>
<![CDATA[A Step Impedance Microstrip Filter for Microwave RFID Application ]]>
<![CDATA[Gina Haziza Ariani]]>;
<![CDATA[Asrizal]]>;
<![CDATA[Mairizwan]]>
<![CDATA[ Research on Instrumentation Vol. 1 No. 2 (2024): Research on Instrumentation ]]>
Publisher : <![CDATA[RESSTECH ]]>
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DOI: 10.66926/rins.2024.46
<![CDATA[RFID is an automatic identification technology that uses electromagnetic waves to transmit and receive information stored in tags or responders upon request from an RFID reader. To ensure that only signals with the working frequency of the RFID reader enter the reader, the signals are filtered first using a filter. A filter is a transition device designed to pass desired frequencies while eliminating or attenuating undesired frequencies. Therefore, a lowpass microstrip filter is designed for RFID microwave applications to limit the radio wave frequencies used in the RFID system. The designed lowpass microstrip filter has a cut-off frequency of 2.4 GHz, an insertion loss of -3 dB, a return loss of -10 dB, and an input impedance of 50 ohm. The lowpass filter is implemented on a microstrip substrate NPC-H220A. variations in the physical design of the microstrip filter can affect the signal performance in achieving the desired cut-off frequency, insertion loss, and return loss. Thus, lowpass microstrip filters with different dimensions are designed. The result of these dimensional changes will be analyzed to determine which design yields the best performance that meets the desired specifications. This research is based on S-Parameters measured using a Vector Network Analyzer (VNA). According to the S-Parameter, S11 represents the return loss, which indicates how well the filter avoids signal reflection back to the source. The smaller the S11 value, the better the filter performance in reducing reflections. S21 represents the insertion loss, measuring the signal loss as it passes through the filter. The smaller the S21 value, the more efficient the filter, indicating that a larger signal successfully passes through the filter]]>
