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Accessing Ping Sonar Echosounder Produksi ROVMAKER pada Mikrokontroler dan Data Noise Reduction dengan Kalman Filter Adam Maulana, Adam Maulana; Joko Endrasmono; Zindhu Maulana Ahmad Putra; Lilik Subiyanto; Mohammad Basuki Rahmat; M.Khoirul Hasin; Isa Rachman; Agus Khumaidi; Yuning Widiarti; Ryan Yudha Adhitya; Dimas Pristovani Riananda
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 1 (2024): Jurnal Elkolind Vol. 11 No.1 (Mei 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i1.5389

Abstract

Two-thirds of Indonesia's territory is waters that have a high risk of flooding. Bathymetric surveys are important for flood management because they provide depth and topography data to determine the need for dredging of a water area. Traditional bathymetric surveys produce less than optimal coverage due to limited ship movements. This research aims to develop an automatic bathymetry system using a ping sonar echosounder sensor integrated with a USV (Unmanned Surface Vehicle). The ping sonar echosounder produced by ROVMAKER can generally only be accessed using the built-in software from the ROVMAKER manufacturer and can now be integrated with the microcontroller system on the USV to increase the efficiency of bathymetric system performance. This research also uses the Kalman filter method to reduce sensor reading noise. Validation of the suitability of the sensor shows an average error of 2.94% at a depth of 1400mm and 2.195% at a depth of 2200mm, which shows that the sensor is classified as suitable for use. The optimal noise reduction in the Kalman filter experiment is at a variance ratio (R/Q) of 1000 with an RMSE of 5.05mm at a depth of 1400mm and 3.99mm at a depth of 2200mm. This system has been proven to increase the accuracy of bathymetric data and system access efficiency.
Pemodelan Matriks Kinematika Pada Robot Three-Wheel Swerve Drive: Kinematics Matrix Modeling of a Three-Wheel Swerve Drive Robot Ilhan Shanjaya, Mohammad Irfan; Endrasmono, Joko; Ahmad Putra, Zindhu Maulana; Sutrisno, Imam; Subiyanto, Lilik; Munadhif, Ii
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 3 (2024): Jurnal Elkolind Vol. 11 No. 3 (September 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i3.5500

Abstract

Research in robotics, particularly mobile robots or wheeled mobile robots, continues to grow as their use in various sectors increases to simplify tasks and reduce the risk of human injury. Steering mechanisms, such as Swerve Drive, are becoming an important focus in the development of mobile robots. Swerve Drive enables omnidirectional motion that requires optimal control and complex development. Controlling the Swerve Drive requires large motors and sophisticated algorithms to set the speed and steering angle on each wheel independently, with the aim of achieving the targeted position and orientation. Simulation testing shows that the robot can move well using the prepared kinematics control, with translational, diagonal movement and rotational capabilities as required. Thus, kinematics modeling and development of efficient control algorithms are essential to improve the maneuverability and performance of the swerve drive robot.
Penerapan Deteksi Titik Api Pada Area graving dock Menggunakan YOLO dan GRAD-CAM Fadlol, Muhammad Thoriq; Khumaidi, Agus; Subiyanto, Lilik; Joko Endrasmono; Mustika Kurnia Mayangsari; Anggarjuna Puncak Pujiputra
Jurnal Elektronika dan Otomasi Industri Vol. 12 No. 1 (2025): Vol 12 No 1 (Mei 2025): Jurnal Elkolind Vol 12 No 1 (Mei 2025)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v12i1.7253

Abstract

Fire spot detection in the graving dock area is crucial to prevent potentially harmful fires. This study employs the YOLOs method as a deep learning-based object detection technique to detect fire and sparks in real-time. Despite its high accuracy, visual interpretation of detection results remains challenging. Therefore, the Grad-CAM technique is utilized to generate a heatmap on the detection area of YOLO. The heatmap is calculated using the alpha blending method with a specific transparency factor, resulting in clearer visualization of detected objects. The test results show that the combination of YOLO and Grad-CAM can detect fire with an accuracy of 73%. The heatmap visualization validates the critical areas that contribute to the model's decision, making it suitable for fire monitoring systems in high-risk areas.
Simulasi Metode PID Pada Motor Pengaduk Cairan Nacl Berbasis PLC Purwoko, Ageng Rochmad Joko; Sutrisno, Imam; Subiyanto, Lilik; Rachman, Isa; Hasin, Muhammad Khoirul; Pambudi, Dwi Sasmita Aji
SISFOTENIKA Vol. 14 No. 2 (2024): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

AC motors are becoming increasingly popular in the industry due to their reliability and ease of control. It can be used in liquid mixing machines that require regular mixing of materials. The aim of this research is to control the speed of an AC motor using the PID method to ensure that the motor rotation remains stable when a disturbance occurs. The simulation results show that applying PID parameters with Kp of 4717, Ki of 41059, and Kd of 0.136 produces an error value of 8.75%. This is different from a system without PID, which has an error value of 15.2%, and these results show a performance increase of 6.45%. Therefore, the PID method is effective in improving the performance of PLC-based liquid stirring systems
Implementasi Sistem Monitoring pada Panel Listrik Dharmawan, Andrian Dwi; Subiyanto, Lilik; Nugraha, Anggara Trisna
Elektriese: Jurnal Sains dan Teknologi Elektro Vol. 12 No. 02 (2022): Artikel Riset Oktober 2022
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/elektriese.v12i02.1852

Abstract

Sistem monitoring panel tegangan listrik merupakan sebuah sistem pemantau panel tegangan listrik. Sistem pemantau ini dibuat untuk memantau data yang terdapat pada panel listrik yaitu berupa tegangan, arus, dan frekuensi. Pemantauan panel tegangan listrik menggunakan beberapa sensor untuk membaca data yang ada pada panel tegangan. Sensor PZEM-004T digunakan untuk membaca arus dan tegangan yang melewati setiap fasa pada panel tegangan, Rangkaian sensor frekuensi digunakan untuk membaca frekuensi pada salah satu fasa setiap panel tegangan yang dipantau. Pengumpulan data dilakukan dengan cara melakukan pengamatan dan pendataan terhadap objek yang diteliti. Pengumpulan data secara spesifik tentang peralatan yang akan dibahas dapat dilakukan dengan mencari informasi dari literatur yang terpercaya yakni melalu situs web yang memuat bahan atau informasi materi yang berhubungan dengan peralatan yang akan dibahas dan melakukan konsultasi terhadap teknisi perusahaan yang ahli dan berpengalaman dalam bidang pemeliharaan listrik dan instrumentasi. Nilai yang ditunjukan oleh alat ukur terhadap media monitoring memiliki selisih yang cukup besar pada hasil pembacaan daya. Selisih tersebut disebabkan karena nilai faktor daya yang kurang baik