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All Journal ComEngApp : Computer Engineering and Applications Journal Teliska Annual Research Seminar ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika
Muhammad Nawawi
Politeknik Negeri Sriwijaya
Computer Science & IT Electrical & Electronics Engineering Engineering

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Fuzzy-PID Controller Design of 4 DOF Industrial Arm Robot Manipulator Yurni Oktarina; Fradina Septiarini; Tresna Dewi; Pola Risma; Muhammad Nawawi
Computer Engineering and Applications Journal Vol 8 No 2 (2019)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1167.933 KB) | DOI: 10.18495/comengapp.v8i2.300

Abstract

Arm robot manipulator is the most applied robot to substitute human labor in industries. Due to the importance of arm robot manipulator in manufacturing lines, the robustness and effective design are essential in building an arm robot. This paper presents the controller, mechanical, and motion designs of an arm robot manipulator. The fuzzy logic controller is employed to ensure the effectiveness in detecting the target object. PID controller is designed to enhance the smooth and stability of robot motion. The simulation of how the robot move inside its workspace was conducted using RSTX toolbox in SciLab. The motion is generated by deriving Denavit-Hartenberg parameters of the mechanical design. The result shows the effective design of Fuzzy-PID controller and mechanical design of a pick and places arm robot manipulator.
Kendali Pergerakan Robot Ball Follower dengan Metode Pengolahan Citra Sederhana Pola Risma; Tresna Dewi; Yurni Oktarina; Muhammad Nawawi
Annual Research Seminar (ARS) Vol 4, No 1 (2018): ARS 2018
Publisher : Annual Research Seminar (ARS)

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Abstract

Robotika merupakan alat elektromekanik yang telah merambah di semua aspek kehidupan manusia, dari industri hingga sarana hiburan dalam kehidupan sehari-hari. Penggunaan sensor citra semakin memungkinkan aplikasi robotika yang lebih luas lagi, contohnya sebagai alat hiburan atau game. Pengolahan citra membutuhkan sumber daya komputasi yang cukup besar, sehingga penyederhanaan proses pengolahan citra akan mempercepat proses pengolahan citra tersebut. Paper ini membahas pengolahan citra sederhana untuk mendeteksi dan mengikuti bola berwarna merah. Tiga jenis ekperimen dilakukan untuk menguji efektivitas metode yang diajukan pada paper ini, dan hasil ekperimen menunjukkan bahwa robot dapat mendeteksi dan mengikuti bola merah di semua jenis trek ekperimen.
Perbandingan Nilai Ukur Sensor Load Cell pada Alat Penyortir Buah Otomatis terhadap Timbangan Manual WAHYUDI WAHYUDI; ABDUR RAHMAN; MUHAMMAD NAWAWI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 5, No 2 (2017): ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v5i2.207

Abstract

ABSTRAKNilai ukur antara sensor load cell yang ada pada timbangan digital dan nilai ukur pada timbangan konvensional atau manual terkadang memiliki perbedaan yang sangat signifikan diantara keduanya, hal ini biasanya diakibatkan oleh beberapa faktor yang mempengaruhi perbedaan nilai ukur tersebut, oleh karena itu pada penelitian kali ini, akan dilakukan suatu pengukuran dan pengujian berat suatu beban dengan objek yang ukur yaitu buah apel, tomat dan jeruk. Pengujian ini dilakukan untuk mengetahui sistem mana yang lebih efisien dan akurat dalam melakukan suatu perhitungan berat suatu buah. Untuk tahap pertama, Proses pengukuran berat buah menggunakan sensor load cell dilakukan pada alat penyortir buah otomatis, kemudian untuk tahap kedua, pengukuran buah dilakukan dengan menggunakan timbangan jenis manual atau konvensioanal. Setelah didapat nilai perhitungan dari keduanya, selanjutnya akan dianalisa dan dibandingakan hasil ukur dari kedua sistem tersebut untuk mengetahui tingkat efisiensi dari keduanya.Kata Kunci : Perbandingan, Nilai Ukur, Load Cell, Timbangan Manual, keakuratan ABSTRACTThe measuring values between the load cell sensors present in the digital scales and the measured values on the conventional or manual scales sometimes have a very significant difference between them, this is usually due to several factors affecting the difference in measuring values, therefore in this study, Will be done a measurement and testing the weight of a load with the measuring object of apples, tomatoes and oranges. This test is conducted to determine which system is more efficient and accurate in performing a weight calculation of a fruit. For the first stage, the process of measuring the weight of fruit using the load cell sensor is done on the automatic fruit sorter, then for the second stage, the fruit measurement is done by using manual or conventional scales. Having obtained the value of the calculation of both, then will be analyzed and compared the results of measuring both systems to determine the level of efficiency of both.Keywords: Comparison, Measure Value, Load Cell, Manual Scales, Accuracy
IMPLEMENTASI FACE RECOGNITION, SENSOR GETAR DAN PASSWORD SEBAGAI PENGAMAN GANDA PADA SMART DOOR LOCK BERBASIS IOT : Teknik Elektro Nurhafidzah; Muhammad Nawawi; Johansyah Al Rasyid
TELISKA Vol 16 No II Juli (2023): TELISKA Juli 2023
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.8166970

Abstract

The development of door lock technology is now sophisticated with the existence of various smart door lock innovations using sensors, cards, fingerprints, passwords, to face recognition or voice recognition. This is because the conventional keys on the market have an inadequate level of security, such as being easily lost and duplicable. This research aims to implement a double security system at the door with an innovative idea that combines face recognition, vibration sensors, and passwords which of course has better security than locks or locks. Identification technology that will be used in face recognition uses a Histogram of Oriented Gradients (HOG). The system created is based on the Internet of Things (IoT) which can provide information and early warning through notifications in the form of photos and messages that an unknown person has been detected in front of the house on a telegram in real time.
ANALISA KETEPATAN ENCODER PADA SISTEM STEERING AUTONOMOUS ELECTRIC CAR METODE PULSE COUNTER: Teknik Elektro M. Rizki Romadhon; Amperawan; Muhammad Nawawi
TELISKA Vol 16 No II Juli (2023): TELISKA Juli 2023
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.8167144

Abstract

The encoder in the steering system of an Autonomous electric car is a component used to determine the direction andposition of the racksteer displacement in the Autonomous electric car itself. The advantage of the encoder in this steeringsystem is its ability to read the number of rotations and direction of rotation of the car's steering wheel through pulsereadings from both channels of the encoder, without the need for additional specialized sensors. The data generated by theencoder is then used as a reference to ensure that the racksteer position is in the correct position during automatic controlin autonomous driving mode. Automatic control in an Autonomous electric car is achieved by reading the car's positionrelative to the road using lane detection methods through digital image processing on Raspberry Pi 4. The results of imageprocessing provide data such as direction and speed required by the car to accelerate when approaching or exiting a turn.The data from Raspberry Pi 4 is then received by the microcontroller to command the motor on the racksteer, taking intoconsideration the previous position of the racksteer obtained through the encoder.
Co-Authors ABDUR RAHMAN Amperawan Fradina Septiarini Johansyah Al Rasyid M. Rizki Romadhon Nurhafidzah Pola Risma Tresna Dewi Tresna Dewi WAHYUDI WAHYUDI Yurni Oktarina