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Design and Implementation of a Visible Light-Based Pest Stinger System Wahab, Faisal; Maria Diamond, Ivana; Fredy Naa, Christian
Emitor: Jurnal Teknik Elektro Vol 25, No 1: March 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i1.8013

Abstract

The agricultural yield in Indonesia has been declining, partly due to shrinking farmland. To address this issue, urban farming has been developed as a solution. However, in urban farming, there is a problem where the leaves of vegetables are infested by insect pests, causing damage to the leaves. Therefore, pest control is necessary in the farming area. One alternative for controlling insect pests is by applying high-voltage electricity to the pests, which will kill them by electric shock with a voltage of around ±1 kV. A "Joule thief" circuit is designed to increase the input voltage below 9 volts to an output voltage of ±1 kV. There are also supporting components, such as a lamp that emits ultraviolet light, to attract the pests. A monitoring system is also designed to allow operators to know the environmental conditions of the vegetable farm, such as soil moisture, air humidity, light intensity, and notifications if the insect carcass container is full. During testing of the trap, there was an issue with the internet connection, so a backup circuit was made to keep the device running according to the schedule without an internet connection. This pest trap was tested for 5 days, and the number of trapped pests increased each day, leading to the conclusion that this device effectively traps pests.
Rancang bangun pemantauan kualitas air pada greywater system berbasis ESP32 Alvaryo, Evorius; Wahab, Faisal
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.i1.2025.75-86

Abstract

Air bersih sangat dibutuhkan untuk berbagai aktivitas sehari-hari, seperti mencuci piring, mandi, dan lain sebagainya. Air bersih yang telah digunakan akan menjadi air limbah, yang berpotensi mencemari lingkungan. Air limbah ini dapat berdampak negatif terhadap kehidupan di sekitarnya, seperti pencemaran air, penyebaran penyakit, dan sebagainya. Untuk mengurangi pencemaran air, dapat diterapkan sistem greywater yang dilengkapi dengan proses filtrasi guna meningkatkan kualitas air limbah. Namun, filtrasi yang digunakan secara terus-menerus akan mengalami penurunan kinerja karena kotoran yang menumpuk, sehingga tidak dapat berfungsi secara optimal. Oleh karena itu, diperlukan sistem pemantauan untuk mengetahui kapan filtrasi perlu diganti. Salah satu indikator perlunya penggantian adalah apabila air limbah yang telah melewati proses filtrasi masih menunjukkan kualitas yang buruk. Dalam penelitian ini, dikembangkan sistem pemantauan untuk memantau kualitas air limbah sebelum dan sesudah proses filtrasi. Jenis air limbah yang digunakan adalah air limbah domestik berupa air sabun bekas mencuci piring. Perancangan sistem terdiri dari beberapa tahapan: air sabun dari wastafel dialirkan ke grease trap, kemudian menuju unit filtrasi, dan selanjutnya ditampung di tempat penampungan air. Di dalam grease trap dan tempat penampungan, dipasang dua sensor untuk mengukur kualitas air. Data hasil pengukuran ditampilkan pada aplikasi Blynk melalui koneksi WiFi dengan menggunakan mikrokontroler ESP32. Hasil dari penelitian ini menunjukkan bahwa sistem filtrasi mampu menjernihkan air sabun serta dapat menurunkan nilai pH-nya. Selain itu, sistem akan memberikan notifikasi ketika hasil pengukuran sebelum dan sesudah filtrasi menunjukkan nilai yang sama. Seluruh data pengukuran dapat dipantau secara real-time melalui aplikasi Blynk.
Rancang Bangun Sistem Throttle Brushless DC Motor pada Kursi Roda Elektrik Natanael, Ferdinand; Arthaya, Bagus Made; Wahab, Faisal
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 1: Jurnal Electron, Mei 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i1.293

Abstract

An electric wheelchair is a mobility aid designed to support the activities of individuals with physical disabilities, particularly those who have difficulty moving independently. This device consists of several main components, including a mechanical frame with four wheels two drive wheels powered by electric motors and two caster wheels at the front as well as a control system in the form of a joystick, a battery as the power source, and a seat designed for user comfort. With the advancement of technology, it is essential to integrate more efficient and accurate control systems into electric wheelchairs. This study aims to design and develop a throttle and tachometer system based on a Hall-effect sensor for electric wheelchairs to enhance movement control and accuracy. The system allows users to operate the wheelchair to move forward, turn right, and turn left using only the joystick. The methodology includes modifying a conventional wheelchair frame, integrating a BLDC motor, designing the throttle system, and implementing a Hall-effect sensor for real-time wheel rotation speed measurement. The results show that the Hall-effect sensor-based tachometer system demonstrates a high level of accuracy, with a measurement error of only 0.32% compared to standard measuring instruments. The BLDC motor used in the system is capable of reaching a maximum rotational speed of 450 RPM. These findings prove that the developed system improves the performance and reliability of electric wheelchairs while providing better comfort and independence for users.
Simulation and Comparative Analysis of PID and LQR Controllers for Speed Control of a BLDC Motor Based on State-Space Model Wahab, Faisal
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.v25i2.10229

Abstract

This study explores the performance of Proportional-Integral-Derivative (PID) and Linear Quadratic Regulator (LQR) controllers in regulating BLDC motor speed. The PID controller is tuned using both MATLAB-based auto-tuning and manual parameter selection, while the LQR controller is designed by adjusting the Q and R matrices through iterative optimization. To evaluate their effectiveness, a mathematical model of the BLDC motor is developed in a state-space representation, enabling simulation of its dynamic response. The open-loop system shows a slow response and significant steady-state error, making it unsuitable for precise speed control. The PID tuner improves response time and accuracy, it introduces overshoot. Manual tuning further refines performance by reducing overshoot and enhancing stability. The LQR controller demonstrates the fastest response, minimal overshoot, and the lowest steady-state error, making it the most effective approach for BLDC motor speed regulation
Implementasi Kalman Filter pada Sistem Pemetaan dengan Sensor Ultrasonik Wahab, Faisal; Widjaja, Timotius Raphael Calvin
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 16, No 1 (2025): JURNAL SIMETRIS VOLUME 16 NO 1 TAHUN 2025
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v15i2.13231

Abstract

The rapid advancement of technology compels social beings to continuously adapt. Robotics, as one of the widely used technologies, offers advantages in solving everyday problems, including room mapping. One of the technologies used to carry out mapping is ultrasonics. Ultrasonic technology utilizes high-frequency sound waves to detect and measure the distance of objects, then converts the reflected wave data into distance or position. A room mapping system uses ultrasonic sensors connected to a central rotating point, generating rotational angle and distance measurements that can be mapped in a graph. The advantages of ultrasonic technology include the ability to map without physical contact and resistance to light and environmental influences, making it ideal compared to optical sensors. However, this technology also has drawbacks in measurement accuracy on non-ideal surfaces. The implementation of the Kalman filter is a solution for reducing fluctuations in ultrasonic measurement results. The effectiveness of the Kalman filter in mapping systems with ultrasonic sensors is measured against the distance results compared to the ideal distance. The results show a reduction in measurement error values with the Kalman filter. Further development is necessary to improve precision and accuracy, making ultrasonic technology more effective in robotics and room mapping applications.
Implementation of LIDAR for Navigation, Geometric Shape Mapping, and Center of Mass Sena, Mikail Vadim; Wahab, Faisal; Arthaya, Bagus Made
Jurnal Elektronika dan Telekomunikasi Vol 25, No 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.723

Abstract

This study examines the capability of LIDAR (Light Detection and Ranging) to enhance autonomous vehicle navigation through laser-based distance measurement. LIDAR technology, which has become increasingly vital in robotics and autonomous vehicles, enables real-time object identification and mapping with high accuracy. The integration of LIDAR with the Robot Operating System (ROS) further enhances the system's capabilities by providing a robust framework for sensor data processing and control algorithms in autonomous system. In this research, LIDAR is applied to indoor navigation, focusing on mapping objects in the shapes of rectangles, triangles, and circles. The data obtained from LIDAR is used by a condition-based (if-else) navigation system on a mobile robot to determine the dimensions of objects and the location of their center points. The results show that LIDAR can provide effective feedback in navigation systems, with object mapping consistent with pre-configured maps. The mapping error rate recorded is 1.93%, demonstrating that this technology is reliable for autonomous navigation applications.
Solar Panel Efficiency Improvement through Dual-Axis Solar Tracking with Fuzzy Logic and Water Treatment Techniques Halim, Levin; Gun, Sin Euy; Wahab, Faisal
JURNAL NASIONAL TEKNIK ELEKTRO Vol 12, No 3: November 2023
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v12n3.1120.2023

Abstract

Indonesia's heavy reliance on non-renewable energy sources, such as fossil fuels and other resources obtained from mining, poses sustainability challenges. Solar panels, which are environmentally friendly and renewable energy alternatives, are designed to convert solar energy into electricity, and they have shown room for improvement in their efficiency. One method to enhance its efficiency is the utilization of dual-axis solar tracking, employing linear actuators for control over both horizontal and vertical panel movements. In addition, solar panels frequently experience efficiency losses as a result of high working temperatures when exposed to sunlight. The use of water treatment techniques may help address this problem. In this research, the two-axis solar tracking approach with water treatment methods were combined to achieve greater efficiency and boost energy production. A notable increase in solar panel efficiency was seen subsequent to the design, implementation, and testing of the proposed system, resulting in a notable rise in power output. Combining the two-axis solar tracking approach with water treatment methods produced solar panels with a 7.46% efficiency and a 17.77% power increment. Dual-axis solar tracking and combined with water treatment could significantly increase solar panel efficiency, which will ultimately lead to environtmentally clean renewable energy production increment.
Enhancing solar panel efficiency through dual-axis tracking and fresnel lens concentration: an image processing approach Ghozi Witsqa Ramadhan, Muhammad; Halim, Levin; Wahab, Faisal
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8465

Abstract

Solar energy is currently utilized as an inexhaustible renewable energy source. Solar panels can convert solar energy into electrical energy that humans can use. The drawback of solar panels is that they cannot always be perpendicular to the sun, causing a decrease in the intensity of incoming light. Therefore, in this research, a solar tracking system with a fresnel lens was designed using image processing to increase the output of solar panels. In this research, programming was done using Python software for image processing using the hue, saturation, value (HSV) color, and space model, which was then connected with Arduino using the PyFirmata library to move the motor. In this research, solar panels with a fresnel lens and solar tracking were implemented. Data collection was performed on the output voltage of the solar panel. The research concludes that solar panels with solar tracker and fresnel lens have a higher average output voltage of 7.53 V than passive solar panels with an average output voltage of 6.38 V. Also, the average output voltage increased by 18.02% after implementing the solar tracking system and adding the fresnel lens.
Design and implementation of linear quadratic regulator control for two-wheeled self-balancing robot Gilang Buana Putra, Leonardus; Wahab, Faisal; Agustinus Tamba, Tua
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8689

Abstract

This research aimed to develop a control system for a self-balancing robot (SBR) based on the mathematical model of an inverted pendulum on a two-wheeled cart. The linear quadratic regulator (LQR) control was implemented to maintain the SBR’s balance under normal conditions. A linearization approach was used to convert the dynamic model into a linear form, enabling the application of LQR. Testing was conducted through simulations and a physical SBR prototype equipped with an MPU6050 sensor and NEMA 17 motor. The test results demonstrated the effectiveness of the LQR control in maintaining the SBR’s balance and its responsiveness to disturbances. Although there are differences between the simulations and physical implementation, the system successfully maintained the SBR’s balance. In conclusion, the use of the inverted pendulum mathematical model and the implementation of LQR control successfully produced a stable and effective control system for SBR balance. By testing various values of the LQR parameters, optimal robot control parameters can be obtained.
RANCANG BANGUN ALAT PENILAIAN POSTUR PADA AKTIVITAS PENGANGKATAN BENDA BERBASIS ESP32 Wahab, Faisal
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 16 No. 2 (2025): JURNAL SIMETRIS VOLUME 16 NO 2 TAHUN 2025
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v16i2.14828

Abstract

Aktivitas pengangkatan benda merupakan salah satu proses yang umum dilakukan dalam lingkungan kerja. Postur tubuh yang tidak ergonomis saat melakukan aktivitas ini menjadi penyebab utama gangguan muskuloskeletal yang dapat memicu kelelahan dan meningkatkan risiko cedera. Oleh karena itu, penilaian ergonomi perlu dilakukan untuk menciptakan lingkungan kerja yang lebih aman dan efektif. Untuk mendukung hal tersebut, diperlukan sistem pemantauan berbasis sensor yang dapat dikenakan (wearable). Dalam penelitian ini, dirancang sistem pengukuran postur menggunakan lima sensor Inertial Measurement Unit (IMU) yang dipasang pada lima bagian tubuh sesuai dengan standar penilaian RULA (Rapid Upper Limb Assessment). Sistem menggunakan protokol komunikasi MQTT, di mana mikrokontroler ESP32 berfungsi sebagai publisher yang mengirimkan data ke broker dan subscriber yang dijalankan pada Raspberry Pi. Pengujian sistem mencakup estimasi sudut dan penilaian postur berdasarkan metode RULA. Hasil pengujian menunjukkan bahwa estimasi sudut memiliki akurasi dan presisi yang tinggi, serta sistem mampu melakukan penilaian RULA dengan baik dan sesuai standar. Dengan dilengkapi fitur autologger, sistem ini dapat digunakan untuk memantau dan mengevaluasi postur tubuh saat mengangkat benda guna mendorong perbaikan postur kerja secara berkelanjutan.