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Kestabilan Kecepatan Mobile Robot pada Lintasan Mendatar, Tanjakan Serta Turunan Faikul Umam; Sri Wahyuni; Hairil Budiarto
Rekayasa Vol 12, No 2: Oktober 2019
Publisher : Universitas Trunojoyo Madura

Mobile robot merupakan salah satu kategori robot yang memiliki fungsi untuk berpindah tempat. Pengembangan dari mobile robot yaitu implementasi perubahan lintasan mendatar¸ tanjakan serta turunan. Ketika robot berjalan terdapat gangguan tak terukur dari luar yang mempengaruhi respon sistem. Hal ini menyebabkan kecepatan robot berubah-ubah, sehingga dibutuhkan suatu mekanisme yang mampu membuat mobile robot menjaga stabilitas dan kemampuan jelajah untuk kestabilan kecepatan mobile robot. Penelitian ini menerapkan metode PID untuk mengatur servo berdasarkan input dari gyro Z, sehingga membuat mobile robot berjalan tanpa keluar dari lintasannya dengan nilai konstanta Kp = 5, Ki = 0 dan Kd = 1. Respon sistem mencapai stedy state dengan nilai servo 90°, dari detik ke-8 sampai detik ke-13,5. Mobile robot dapat menjaga kestabilan kecepatan ketika melewati lintasan mendatar, tanjakan serta turunan dengan menerapkan metode fuzzy logic controller dan kontrol PID dengan nilai konstanta Kp = 1,5, Ki = 0 dan Kd = 0,2. Respon yang diberikan oleh sistem mencapai steady state nilai kecepatan 0,88 pada detik ke-16,4. Sensor yang digunakan untuk mengetahui kemiringan lintasan yaitu sensor MPU6050 nilai gyro Y dan sensor rotary encoderMobile Robot Speed Stability on Flat Road, Upward and Descend TrajectoriesAbstractMobile robot is a robot that can move to other places. The development of a mobile robot is the implementation of changes in in flat, upward and descending trajectories. When robot runs there are immeasurable interference that affects the system response. This causes robot speed is change, so we need a solution for mobile robot to maintain stability and movement capability for stability the robot speed. This research applies the PID method to set the servo based on the input from the gyro Z, so as to make the mobile robot run without leaving its path with constant values Kp = 5, Ki = 0 and Kd = 1. This research applies PID method to set servo motor based on input from gyro Z, so as to make the mobile robot run on path with constant values Kp = 5, Ki = 0 and Kd = 1. The system response reaches steady state when the servo value is 90 °, from the 8th second to the 13.5th second. Mobile robots can maintain the stability of speed when flat road, upward, and descend trajectories by applying the fuzzy logic controller and PID control methods with constant values of Kp = 1.5, Ki = 0 and Kd = 0.2. The response given by the system reaches a steady state speed value of 0.88 at 16.4 seconds. The sensors used to determine the slope of the track are the MPU6050 Y gyro sensor and rotary encoder sensor.Keyword: mobile robot, MPU6050, rotary encoder sensor, fuzzy logic controller and PID control.

Implementation Of Fuzzy Logic Control Method On Chilli Cultivation Technology Based Smart Drip Irrigation System Faikul Umam; Ach. Dafid; Andharini Dwi Cahyani
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i1.25878

Herbal chili plants are very beneficial from a health and economic perspective. In the process of cultivating herbal chili plants, there are still many problems that need to be faced, including unfavorable climatic conditions and less intensive cultivation processes. Based on this description, to overcome these problems, technological innovation is needed that can be implemented directly in the cultivation of herbal chili plants. This situation can be achieved by applying a drip irrigation system. This system makes it possible to control the water supply requirements of chili herbs efficiently. System stability can run optimally when combined with a method that can make a decision quickly. Fuzzy logic is used in research because it is able to provide appropriate decisions on temperature and soil moisture data in chili herbs. This research is expected to overcome the problem of water shortages in barren areas. And increase people's interest in the cultivation of herbal chili plants. This research is also an overview and framework for developing the agricultural sector in Madura in the technology field. The results of this study indicate that technology can be designed and integrated with the fuzzy logic control method, then the results of testing the tool also show a 99,98% success rate. This is shown by the results of testing in the morning, afternoon, and evening. The contribution of this study is the control of temperature and humidity which in other studies only focused on the soil, not on the temperature and humidity of the air around the herbal chili plants with a system that has been controlled using the fuzzy method.

Presensi Wireless Otomatis menggunakan Face Recognition Firmansyah Adiputra; Faikul Umam
Rekayasa Vol 15, No 3: Desember 2022
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v15i3.19762

Presensi adalah sebuah daftar yang digunakan untuk mencatat kehadiran seseorang serta tingkat kedisplinan dari anggota dalam suatu instansi, institusi atau perusahaan. Sistem yang digunakan dalam presensi juga mengalami banyak perkembangan yakni mulai dari sistem presensi yang memakai kertas, sistem mesin check clock, sistem smart cards (RFID), hingga sistem yang paling terbaru ialah sistem presensi biometrik (fingerprint recognition, retina recognition, dan face recognition). Dalam penelitian ini, sistem yang digunakan pada alat presensi adalah salah satu dari sistem biometrik yaitu sistem face recognition. Hal ini, dikarenakan sistem biometrik face recognition dinilai paling efektif dari pada menggunakan sistem presensi lainnya dan juga untuk meminimalisir kecurangan dalam presensi, seperti titip tanda tangan dan titip kartu. Sebelum proses pengenalan wajah dilakukan, terdapat proses deteksi wajah atau face detection yang akan terlebih dahulu mengindikasikan bahwa dalam gambar tersebut terdapat wajah manusia atau tidak. Untuk melakukan hal tersebut face detection memerlukan sebuah metode, yakni Skin Color Segmentation yang dapat memberikan indikasi secara spesifik pada sebuah gambar atau image, dengan cara mengidentifikasi jumlah pixel yang ada dalam persegi saja dan bukan nilai setiap pixel yang ada pada keseluruhan image. Kemudian hasil dari proses face detection ini, akan diolah untuk proses face recognition, yang mana dalam proses ini juga memerlukan metode yakni Principal Component Analysis (PCA).

INTERNET OF THING BASED CORN TEMPERATURE AND HUMIDITY CONTROL WITH FUZZY METHOD kukuh winarso; Faikul Umam
International Journal of Science, Engineering, and Information Technology Vol 7, No 1 (2022): IJSEIT Volume 07 Issue 01 31 December 2022
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/ijseit.v7i1.19314

Technological developments that are currently very helpful in work, one of which is in the agricultural sector. Farmers currently do not use technology, even though using technology can help farmers in completing their work. This study used the fuzzy logic method to control the temperature and humidity of corn. Several previous studies have focused more on making corn drying devices so they cannot remotely monitor temperature and humidity in corn. The aim of this research is to create an IoT-based corn temperature and humidity control system with the fuzzy logic method. This research focuses on making tools and systems that can monitor corn temperature and humidity remotely by utilizing a mobile application. The results of this study were two tests, the first experiment used corn with low or wet humidity and normal temperature while the second experiment used corn with high temperature and low humidity. The first experiment in the drying process showed a significant increase from the corn moisture value which was initially 400 to 649 in 15 minutes, while from 649 to 1003 it took 10 minutes. The second experiment took approximately the same time as the first experiment, which was about 15 minutes. When the humidity value has started to rise from 759 to 1005 it only takes approximately 10 minutes.

Pemurnian Garam dengan Metode Rekristalisasi di Desa Bunder Pamekasan untuk Mencapai SNI Garam Dapur Umam, Faikul; Basuki, Ari; Adiputra, Firmansyah
Jurnal Ilmiah Pangabdhi Vol 5, No 1: April 2019
Publisher : LPPM Universitas Trunojoyo Madura

Techno-Economic and Environmental Analysis of an On-Grid and Off-Grid Renewable Energy Hybrid System in an Energy-Rich Rural Area: A Case in Indonesia Umam, Faikul; Wahyu, Fiki Milatul; Efendi, Mochamad Yusuf; Amir, Nizar; Gozan, Misri; Asmara, Yuli Panca
Journal of Robotics and Control (JRC) Vol 5, No 5 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i5.22633

Developing a dedicated renewable energy hybrid system is a viable option for extending access to electrical energy in energy-rich rural areas. This study conducted a feasibility analysis of using a hybrid energy system, combining solar photovoltaic, wind, and biogas, to generate electricity and meet the energy needs of the rural area. West Waru Village is selected as the case study area for this research because it has abundant renewable energy sources. The Hybrid Optimization of Multiple Energy Resources (HOMER) tools is employed for modeling and optimizing the hybrid energy system, offering a comprehensive analysis encompassing technical, economic, and environmental aspects. Furthermore, the study's findings were further analyzed through a sensitivity analysis, considering unpredictable factors such as village load consumption, solar radiation, wind speed, and biomass availability. Additionally, the study’s results reveals that the renewable energy hybrid system can meet nearly 80% of the rural area's electrical energy requirements at a cost of $0.16 per kWh, resulting in the reduction of 8.4 million kg of carbon dioxide emissions. These findings can serve as a baseline for stakeholders in developing renewable energy systems in rural areas.

Towards Controlling Mobile Robot Using Upper Human Body Gesture Based on Convolutional Neural Network Fuad, Muhammad; Umam, Faikul; Wahyuni, Sri; Fahriani, Nuniek; Nurwahyudi, Ilham; Darwaman, Mochammad Ilham; Maulana, Fahmi
Journal of Robotics and Control (JRC) Vol 4, No 6 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i6.20399

Human-Robot Interaction (HRI) has challenges in investigation of a nonverbal and natural interaction. This study contributes to developing a gesture recognition system capable of recognizing the entire human upper body for HRI, which has never been done in previous research. Preprocessing is applied to improve image quality, reduce noise and highlight important features of each image, including color segmentation, thresholding and resizing. The hue, saturation, value (HSV) color segmentation is executed by utilizing blue color backdrop and additional lighting to deal with illumination issue. Then thresholding is performed to get a black and white image to distinguish between background and foreground. The resizing is completed to adjust the image to match the size expected by the model. The preprocessed data image is used as input for gesture recognition based on Convolutional Neural Network (CNN). This study recorded five gestures from five research subjects in difference gender and body posture with total of 450 images which divided into 380 and 70 images for training and testing respectively. Experiments that performed in an indoor environment showed that CNN achieved 92% of accuracy in the gesture recognition. It has lower level of accuracy compare to AlexNet model but with faster training computation time of 9 seconds. This result was obtained by testing the system over various distances. The optimal distance for a camera setting from user to interact with mobile robot by using gesture was 2.5 m. For future research, the proposed method will be improved and implemented for mobile robot motion control.

Implementation of Automatic DC Motor Braking PID Control System on (Disc Brakes) Budiarto, Hairil; Triwidyaningrum, Vivi; Umam, Faikul; Dafid, Ach
Journal of Robotics and Control (JRC) Vol 4, No 3 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i3.18505

The vital role of an automated braking system in ensuring the safety of motorized vehicles and their passengers cannot be overstated. It simplifies the braking process during driving, enhancing control and reducing the chances of accidents. This study is centered on the design of an automatic braking device for DC motors utilizing disc brakes. The instrument employed in this study was designed to accelerate the vehicle in two primary scenarios - before the collision with an obstacle and upon crossing the safety threshold. It achieves this by implementing the Proportional Integral Derivative (PID) control method. A significant part of this system comprises ultrasonic sensors, used for detecting the distance to obstructions, and rotary encoder sensors, which are utilized to measure the motor's rotational speed. These distance and speed readings serve as essential reference points for the braking process. The system is engineered to initiate braking when the distance value equals or falls below 60cm or when the speed surpasses 8000rpm. During such events, the disc brake is activated to reduce the motor's rotary motion. The suppression of the disc brake lever is executed pneumatically, informed by the sensor readings. Applying the PID method to the automatic braking system improved braking outcomes compared to a system without the PID method. This was proven by more effective braking results when the sensors detected specific distance and speed values. Numerous PID tuning tests achieved optimal results with K_p = 5, K_i = 1, and K_d = 3. These values can be integrated into automatic braking systems for improved performance. The PID method yielded more responsive braking outcomes when applied in distance testing. On the contrary, the braking results were largely unchanged in the absence of PID. Regarding speed testing, the PID method significantly improved the slowing down of the motor speed when it exceeded the maximum speed limit of 8000 rpm. This eliminates the possibility of sudden braking, thus maintaining the system within a safe threshold. The average time taken by the system to apply braking was 01.09 seconds, an indication of its quick responsiveness. This research is a valuable addition to control science, applying the PID control method to automatic DC motor braking. It provides valuable insights and concrete applications of PID control to complex mechatronic systems. It is also noteworthy for its development and optimization of suitable PID parameters to achieve responsive and stable braking. The study, therefore, offers a profound understanding of how PID control can be employed to manage braking systems on automatic DC motors, thereby advancing knowledge and application of control in control science and mechatronics.

Obstacle Avoidance Based on Stereo Vision Navigation System for Omni-directional Robot Umam, Faikul; Fuad, Muhammad; Suwarno, Iswanto; Ma'arif, Alfian; Caesarendra, Wahyu
Journal of Robotics and Control (JRC) Vol 4, No 2 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i2.17977

This paper addresses the problem of obstacle avoidance in mobile robot navigation systems. The navigation system is considered very important because the robot must be able to be controlled from its initial position to its destination without experiencing a collision. The robot must be able to avoid obstacles and arrive at its destination. Several previous studies have focused more on predetermined stationary obstacles. This has resulted in research results being difficult to apply in real environmental conditions, whereas in real conditions, obstacles can be stationary or moving caused by changes in the walking environment. The objective of this study is to address the robot’s navigation behaviors to avoid obstacles. In dealing with complex problems as previously described, a control system is designed using Neuro-Fuzzy so that the robot can avoid obstacles when the robot moves toward the destination. This paper uses ANFIS for obstacle avoidance control. The learning model used is offline learning. Mapping the input and output data is used in the initial step. Then the data is trained to produce a very small error. To support the movement of the robot so that it is more flexible and smoother in avoiding obstacles and can identify objects in real-time, a three wheels omnidirectional robot is used equipped with a stereo vision sensor. The contribution is to advance state of the art in obstacle avoidance for robot navigation systems by exploiting ANFIS with target-and-obstacles detection based on stereo vision sensors. This study tested the proposed control method by using 15 experiments with different obstacle setup positions. These scenarios were chosen to test the ability to avoid moving obstacles that may come from the front, the right, or the left of the robot. The robot moved to the left or right of the obstacles depending on the given Vy speed. After several tests with different obstacle positions, the robot managed to avoid the obstacle when the obstacle distance ranged from 173 – 150 cm with an average speed of Vy 274 mm/s. In the process of avoiding obstacles, the robot still calculates the direction in which the robot is facing the target until the target angle is 0.

Techno-Economic and Environmental Analysis of an On-Grid and Off-Grid Renewable Energy Hybrid System in an Energy-Rich Rural Area: A Case in Indonesia Umam, Faikul; Wahyu, Fiki Milatul; Efendi, Mochamad Yusuf; Amir, Nizar; Gozan, Misri; Asmara, Yuli Panca
Journal of Robotics and Control (JRC) Vol. 5 No. 5 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i5.22633

Developing a dedicated renewable energy hybrid system is a viable option for extending access to electrical energy in energy-rich rural areas. This study conducted a feasibility analysis of using a hybrid energy system, combining solar photovoltaic, wind, and biogas, to generate electricity and meet the energy needs of the rural area. West Waru Village is selected as the case study area for this research because it has abundant renewable energy sources. The Hybrid Optimization of Multiple Energy Resources (HOMER) tools is employed for modeling and optimizing the hybrid energy system, offering a comprehensive analysis encompassing technical, economic, and environmental aspects. Furthermore, the study's findings were further analyzed through a sensitivity analysis, considering unpredictable factors such as village load consumption, solar radiation, wind speed, and biomass availability. Additionally, the study’s results reveals that the renewable energy hybrid system can meet nearly 80% of the rural area's electrical energy requirements at a cost of $0.16 per kWh, resulting in the reduction of 8.4 million kg of carbon dioxide emissions. These findings can serve as a baseline for stakeholders in developing renewable energy systems in rural areas.

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