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[IoT-Based Duck Egg Incubator with Automatic Turning Feature to Increase Productivity ]]>
<![CDATA[Dian Yola Lestari]]>;
<![CDATA[Asrizal Asrizal]]>;
<![CDATA[Mona Berlian Sari]]>
<![CDATA[ Research on Instrumentation Vol. 2 No. 2 (2025): Research on Instrumentation ]]>
Publisher : <![CDATA[RESSTECH ]]>
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DOI: 10.66926/rins.2025.22
<![CDATA[Duck farming has great potential in Indonesia but still faces the challenge of low hatching success rates due to inefficient manual incubation methods. The stability of temperature and humidity, as well as the accuracy of egg turning schedules, are critical factors in supporting successful incubation. To address these issues, this research aims to design and develop an IoT-based duck egg incubator with an automatic turning feature to improve hatching productivity. The system is built using an ESP32 microcontroller, a DHT22 sensor for detecting temperature and humidity, a DS3231 RTC module for automatic egg turning scheduling, and the Blynk application as a platform for remote monitoring and control via a smartphone. The research method used is engineering-based, which includes literature study, hardware and software design, prototype development, system performance testing, and result analysis. The incubator is designed in a box shape measuring 60×40×40 cm with a capacity of approximately 50 eggs. The main components consist of three incandescent lamps as the heat source, a cooling fan, an automatic egg rack driven by an AC motor, and a monitoring system based on an LCD and the Blynk application. Test results show that the device is capable of maintaining an average temperature of 37.9°C and humidity of 62.2%, with standard deviations of ±0.63°C and ±1.90%, respectively — all within the ideal range for duck egg incubation. The DHT22 sensor demonstrated a high level of accuracy, with a precision rate of 99.81% for temperature and 99.15% for humidity when compared to standard measuring instruments. The accuracy of the temperature measurement was 99.84%, and for humidity, it was 99.18%, indicating that the DHT22 sensor performs excellently in terms of precision and stability. The automatic turning feature operates according to the pre-set schedule, specifically at 00:00, 06:00, 12:00, and 18:00 WIB, with each turning lasting two minutes. Temperature and humidity data monitoring through the LCD and Blynk application produced consistent and synchronized results. Initial testing with 50 duck eggs showed a hatching success rate of 91%. Based on these results, it can be concluded that the device has good design specifications and performance, is stable in maintaining incubation conditions, and is efficient and practical to use. This system is feasible to be applied as a technological solution in modern duck farming.]]>
<![CDATA[A Groundwater Quality Monitoring System Using IoT and GPS ]]>
<![CDATA[Sally Lerian Edward]]>;
<![CDATA[Riri Jonuarti]]>;
<![CDATA[Mona Berlian Sari]]>
<![CDATA[ Research on Instrumentation Vol. 2 No. 2 (2025): Research on Instrumentation ]]>
Publisher : <![CDATA[RESSTECH ]]>
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DOI: 10.66926/rins.2025.23
<![CDATA[Conventional groundwater quality monitoring methods are often inefficient due to delays in data acquisition and limitations in spatial location tagging and automated data management. This study aims to develop a portable monitoring system based on NodeMCU ESP32 that is capable of measuring temperature, pH, TDS, and conductivity parameters in situ. The main innovation of this tool lies in the integration of a GPS module for mapping sample collection locations, automatic data storage to spreadsheets via an IoT platform, and a visual LED warning system calibrated according to the quality standards of PerMenKes No. 32 of 2017. Test results show that the system functions optimally with parameter accuracy levels reaching 95-99% and an error rate below 5% compared to standard measuring instruments. This system offers an effective solution for rapid, accurate, and digitally documented groundwater quality mapping]]>
<![CDATA[An Electric Talempong with Transpose System Based on the Teensy 4.1 Microcontroller ]]>
<![CDATA[Alfadli Jambak]]>;
<![CDATA[Riri Jonuarti]]>;
<![CDATA[Yulkifli]]>
<![CDATA[ Research on Instrumentation Vol. 2 No. 2 (2025): Research on Instrumentation ]]>
Publisher : <![CDATA[RESSTECH ]]>
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DOI: 10.66926/rins.2025.24
<![CDATA[Talempong is a traditional Minangkabau musical instrument that holds significant cultural value and plays a vital role in traditional art performances. However, its application in modern music accompaniment is limited due to a lack of pitch flexibility, as it is generally configured in a fixed base scale such as C=Do. This limitation makes it difficult to integrate talempong into contemporary music arrangements that often require different key scales to suit a singer's vocal range. This research aims to develop an electric talempong equipped with a pitch transposition system based on the Teensy 4.1 microcontroller to enhance its adaptability for modern musical performances. This study employs an engineering approach by designing an electric talempong system using a Teensy 4.1 microcontroller and piezoelectric sensors for 16 pad inputs. Sound frequency is extracted and analyzed using Audacity software. The base pitch is displayed through an OLED screen, while transposition is controlled using two buttons. Testing procedures include sensor characterization, frequency error analysis, accuracy and precision measurement, and practicality evaluation by professional talempong players. The results show that the system has an average frequency error rate of less than 2%, relative accuracy above 97%, and a precision level of up to 99.72% on the C7 note. The practicality score reached 87 out of 100, indicating the system is user-friendly and functional in practice. Therefore, the developed electric talempong proves to be an effective and adaptable instrument for modern music performances while preserving its traditional sound character.]]>
<![CDATA[Design and Implementation of PWM-Based Speed Control and Monitoring System for Bucket Elevators in Wheat Flour Production ]]>
<![CDATA[Rahma Nurdi]]>;
<![CDATA[Yulkifli]]>;
<![CDATA[Mona Berlian Sari]]>
<![CDATA[ Research on Instrumentation Vol. 2 No. 2 (2025): Research on Instrumentation ]]>
Publisher : <![CDATA[RESSTECH ]]>
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DOI: 10.66926/rins.2025.27
<![CDATA[In industrial wheat flour production, efficient material handling is essential to maintain product quality and streamline operations. One critical aspect is the transport of flour to storage silos using bucket elevators, where speed control plays a vital role in preventing delays and mechanical issues. This study presents the design and development of a prototype system for controlling and monitoring the speed of a bucket elevator using Pulse Width Modulation (PWM) technology. The system is built using an Arduino Uno microcontroller, LM393 speed sensor, INA219 voltage and current sensor, and a 12V DC motor with a PWM-based control interface. The proposed solution allows real-time adjustment of motor speed and accurate feedback through an integrated LCD and oscilloscope display. Experimental results show that the system achieves an average accuracy of 98.99% and a low error rate of 1.01% in both loaded and unloaded conditions. The findings confirm that PWM offers a reliable, efficient, and cost-effective method for speed regulation in vertical conveyor systems, particularly for sensitive materials such as wheat flour. This prototype serves as a scalable model for broader industrial applications in food processing.]]>
<![CDATA[An Image Processing-Enabled Humanoid Robot for Autonomous Guest Reception Using ESP32-CAM ]]>
<![CDATA[Fauzan Bin Eylidarson]]>;
<![CDATA[Yulkifli]]>;
<![CDATA[Mona Berlian Sari]]>
<![CDATA[ Research on Instrumentation Vol. 2 No. 2 (2025): Research on Instrumentation ]]>
Publisher : <![CDATA[RESSTECH ]]>
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DOI: 10.66926/rins.2025.33
<![CDATA[This study presents the design and development of a humanoid robot for guest reception based on image processing using the ESP32-CAM module. The robot is capable of detecting human presence visually, responding through an arm-waving gesture, and delivering an automatic voice greeting. The system integrates the ESP32-CAM for real-time face detection, servo motors for arm actuation, and a DFPlayer Mini audio module for verbal responses. Experimental results show that the system achieves a 100% face detection success rate within 30–90 cm, with an average response time of 1.21 seconds. Performance evaluation under different lighting conditions (30–580 lux) indicates optimal operation between 100–300 lux, with stable detection times ranging from 1.5–2.5 seconds. The system fails to detect faces under 10 lux and above 800 lux. Servo–audio synchronization tests across ten subjects achieved perfect reliability with latency under 50 ms. The robot operates efficiently with power consumption of 1.2 A during active detection and 0.4 A when idle. This research demonstrates that a low-cost embedded architecture can successfully realize a functional humanoid robot for automated public reception tasks in indoor environments.]]>
