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All Journal Research on Instrumentation
Mona Berlian Sari
Department of Physics, Universitas Negeri Padang, Padang, Indonesia

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Design of a 5 GHz Microstrip Bandpass Filter Using the Coupled Line Method for Synthetic Aperture Radar (SAR) Syukri Fajrin; Asrizal; Mona Berlian Sari; Khairi Budayawan
Research on Instrumentation Vol. 1 No. 2 (2024): Research on Instrumentation
Publisher : RESSTECH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66926/rins.2024.18

Abstract

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.
Design and Implementation of PWM-Based Speed Control and Monitoring System for Bucket Elevators in Wheat Flour Production Rahma Nurdi; Yulkifli; Mona Berlian Sari
Research on Instrumentation Vol. 2 No. 2 (2025): Research on Instrumentation
Publisher : RESSTECH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66926/rins.2025.27

Abstract

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.
An Image Processing-Enabled Humanoid Robot for Autonomous Guest Reception Using ESP32-CAM Fauzan Bin Eylidarson; Yulkifli; Mona Berlian Sari
Research on Instrumentation Vol. 2 No. 2 (2025): Research on Instrumentation
Publisher : RESSTECH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66926/rins.2025.33

Abstract

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.
Design and Implementation of a Hybrid Voice- and IoT-Based Smart Home Control System Using Local Speech Processing to Reduce Cloud Dependency Sukma Maksum; Yulkifli; Mona Berlian Sari
Research on Instrumentation Vol. 3 No. 1 (2026): Research on Instrumentation
Publisher : RESSTECH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66926/rins.2026.1.49

Abstract

Electrical devices are an important part of modern life. However, forgetting to turn off electrical appliances is still one of the causes of house fires in many areas. This research aims to determine the performance and design specifications of a home electrical appliance control system using a voice recognition sensor based on the Internet of Things (IoT). The research method used is an engineering method with several steps, including problem identification, conceptual design, system design, detailed design, prototype building, and system testing. The system is built using an Arduino Uno microcontroller, ESP32 module, voice recognition sensor, and relay module, which are connected to the Blynk application as a user interface for real-time communication. The system has two modes: voice control mode and manual control mode. In voice control mode, devices work based on voice commands from the user. In manual mode, users can control and monitor devices remotely through the Blynk application using a switch. The test results show that the system achieved an accuracy of 90% and demonstrated good consistency under controlled testing conditions. Furthermore, the system operates effectively and has demonstrated a high level of functional success during testing. These results show that the IoT-based control system using a voice recognition sensor works well and is reliable for controlling home electrical appliances.
Co-Authors Asrizal Fauzan Bin Eylidarson Khairi Budayawan Rahma Nurdi Sukma Maksum Syukri Fajrin Yulkifli