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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Proceeding of the Electrical Engineering Computer Science and Informatics Prosiding Seminar Nasional Teknoka JMM (Jurnal Masyarakat Mandiri) TESLA: Jurnal Teknik Elektro MAESTRO Prosiding Konferensi Nasional PKM-CSR Industrial Research Workshop and National Seminar Jurnal INFOTEL Artinara Jurnal Pengabdian Masyarakat Tekno
Musafa, Akhmad
Universitas Budi Luhur
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Nursing Public Health Social Sciences Other

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Journal : MAESTRO

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RANCANG BANGUN SISTEM PENGENDALI SUHU DAN KELEMBAPAN PADA GUDANG PENYIMPANAN KOMPONEN PESAWAT TERBANG Ahmad Ridho; Akhmad Musafa
MAESTRO Vol 5 No 1 (2022): Jurnal Maestro Vol.5 No.1. April 2022
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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In this final project, a temperature and humidity control system for aircraft component storage has been designed using a PID controller and ON/OFF controller. This system is designed so that the warehouse component storage temperature of aircraft components, especially the avionic component (aviation electronic) which has a storage requirement at a temperature of 16-26 °C and humidity at 40-65% maintained at the reference temperature, so that the quality and state of components stored in the warehouse will stay awake his life span and abilities. The control system that was designed consisted of 1 unit 12VDC 10A power supply, 1 unit DC-DC Converter, 1 unit Arduino Uno microcontroller board, 4 DHT22 sensors, 1 unit 2 Channel Relay, 1 unit 180 ° servo motor, and 1 unit dehumidifier. The reference temperature is set at 24 °C and the reference humidity at 60%. The control system consists of a PID controller to control temperature and an ON / OFF controller to control humidity. When the warehouse room is fed with a central AC (air conditioner) flow, the sensor will read the temperature and humidity of the room. The sensor readings will be sent to Arduino to be compared with a predetermined set point. The temperature error value will be processed by the PID with an output control signal in the form of a PWM signal (50Hz) to control the rotation of the servo motor used to open or close the central AC flow. While the humidity error signal will be processed by the ON / OFF controller with an output signal in the form of an ON or OFF state for the relay that is used as a switch for the dehumidifier. The test results with the PID parameter values ​​Kp=75, Ki=40, and K =45 obtained by the heuristic method produces a good system response. The temperature can be controlled between 24 °C - 26 °C and humidity can be lowered when it is above 60%.
PERANCANGAN MESIN CNC PLOTTER DENGAN APLIKASI GRBL KONTROL TIGA SUMBU Eko Afrily Trisnanto; Akhmad Musafa
MAESTRO Vol 5 No 1 (2022): Jurnal Maestro Vol.5 No.1. April 2022
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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In this final project, a CNC plotter machine has been designed with three-axis control GRBL application. The expected benefit from the theoretical results of this research is that it can add insight into skills and knowledge in robotics, especially using the Arduino UNO microcontroller and as a reference for researchers in conducting further research. This system is designed to configure the CNC Plotter machine on hardware so that it can carry out the engraving and marking process with the desired image pattern. The control system of this tool consists of several components such as 1 unit 12VDC 10A power supply, 1 unit Arduino Uno microcontroller board, 1 unit CNC Shield board, 2 units motor drivers, 2 units stepper motors, 1 unit servo motor and a pen plotter. To run this CNC Plotter, there are several steps, uploading the GRBL into the Arduino Uno microcontroller, creating images / patterns using inkscape, converting the resulting images in G-code form and uploading the converted data to the GRBL controller application that is already installed on the laptop. Furthermore, the microcontroller will get the data transferred in the form of G-code from the laptop, the microcontroller will read the data to order the CNC Plotter to move according to the data obtained. To produce an optimal image pattern, this CNC Plotter uses three axes, the x-axis is driven by the stepper motor, the y-axis is driven by the stepper motor, and the z-axis is driven by the servo motor.
PEMETAAN LINGKUNGAN KERJA ROBOT BERODA DENGAN METODE SLAM GMAPPING MENGGUNAKAN SENSOR LIDAR Noeroes Shobie Ahfan; Peby Wahyu Purnawan; Sujono Sujono; Akhmad Musafa; Indra Riyanto
MAESTRO Vol 5 No 2 (2022): Jurnal Maestro Vol.5 No.2. Oktober 2022
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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The wheeled robot used to deliver documents between rooms must be able to move according to the environmental conditions of the work area. For this reason, the robot must have knowledge of the conditions of the work environment to be passed. In this final project, the work area environment mapping on the wheeled robot is carried out. Mapping was done using the Simultaneous Localization and Mapping (SLAM) method. The equipment used in the mapping is a lidar sensor. The robot system consists of a raspberry Pi 4 which is used as the main controller of the robot. The robot has two sensors. The first sensor is a lidar sensor, which is used to detect the distance of the object in front of the robot. Then the IMU sensor is used to detect the robot's orientation and position changes. In the robot there is a motor driver which is used as a robot control signal processor to drive a DC motor. Map making is done by means of a lidar sensor reading the robot's working area environment. The lidar sensor output signal is processed using the SLAM gmapping method. In this test, to determine the environment of the robot's work area, using a laser scanner to produce a two-dimensional (2D) map, while estimating the position of the robot on the map using a particle filter. This simultaneous mapping uses the Simultaneous Localization and Mapping (SLAM) mapping algorithm based on Raspberry Pi 4. The results obtained are maps in grayscale. In addition to SLAM gmapping, this article also shows that there are one to three robot position 2D testing arenas.
PERANCANGAN SISTEM PENDETEKSIAN OBYEK BOLA DENGAN METODE FRAMEWORK YOLOv4 Jalu Nuralim; Nifty Fath; Akhmad Musafa; Sujono Sujono; Suwasti Broto
MAESTRO Vol 5 No 2 (2022): Jurnal Maestro Vol.5 No.2. Oktober 2022
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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In this final project, a spherical object detection system has been designed in which the final result will display the class name according to the detected object and a bounding box on the object indicating the object is detected accordingly. What will be done from having a dataset of 202 images and divided into 70% training data, 20% validation data, 10% test data. By using the YOLOv4 method, it is hoped that the detection of spherical objects will be more efficient in detecting an object that is needed, the final result of the implementation of this spherical object detection system will display a bounding box and the accuracy of objects detected on the laptop screen for testing and analysis results of the YOLOv4 method performance system. done by confusion matrix which calculates the results of accuracy, recall, precision and there are several tests to find out with different conditions the system can detect an object. In the first test, the ball was detected by being blocked by another object in the percentage value of 50%, 60%, 70% of the system being able to detect a ball object that was blocked by another object, then with an obstacle value of 80%, 90%, 100% the system could not detect a ball object.
TRACKER SYSTEM SINGLE AXIS SOLAR CONCENTRATOR IN 2 W SUN HEAT POWER PLANT Ananda Eddy Irvine; Sujono Sujono; Akhmad Musafa
MAESTRO Vol 6 No No 2 (2023): Vol.6 No. 2. Oktober 2023
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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This paper discusses the single-axis solar concentrator tracker system for solar thermal power plants. This system concentrates the harvesting of heat from solar radiation to increase the electrical power generated from the solar thermal conversion process. The solar concentrator is designed as a parabola and can adjust the direction following the sun's motion. The overall system work is regulated by Arduino Mega 2560. A 24-volt DC motor and BTS7690 driver are used to drive the parabola. RTC DS3231 is used to provide real-time data. ACS712 sensor is used to measure the current and voltage generated. The conversion of solar heat into electrical energy is done using Peltier SP1848. All generated data is recorded to the SD Card module, which will later be used to analyze the overall system performance. The tracker system is designed to move following the sun’s position, starting from 08:00 at position 19O to 17:00 at position 139O. Update the position or direction of the parabola to 15O, done every hour. The effectiveness of the tracker is assessed by comparing the solar concentrator system that is not equipped with a tracker. From the tests conducted for two consecutive days, the tracker-equipped solar concentrator system produced an average percent increase in electrical power of 4.86% on the first day and 5.26% on the second day. The average percent increase in power for two days was 5.06%. The results show that the application of the tracker is able to increase the productivity of the solar thermal power generation system. This opens up opportunities for larger-scale deployment in solar concentrator farms.
Rancang Bangun Sistem Pendeteksian Objek Halang Dan Pengereman Otomatis Pada Robot Forklift Lutfi Wahyu Aryanto; Sujono Sujono; Akhmad Musafa
MAESTRO Vol 6 No No 2 (2023): Vol.6 No. 2. Oktober 2023
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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Forklifts are tools to move large and large items to the place you want to go, forklifts are widely used in the warehousing section in running forklifts an operator is needed. The problems that occur include forklifts crashing into goods in the warehouse, forklifts crashing into forklifts because of the problems that occur, a prototype of an obstacle object detection system and automatic braking on a forklift robot is made. The parts of the forklift robot are the obstacle detection system in the form of (ultrasonic sensor and pixy camera) and the automatic braking system, namely (motor driver and dc motor). ). The working principle of the forklift robot is that the forklift follows the line that has been made if the detection system can detect an obstacle object, the braking system will automatically brake with a robot distance of 20 cm from the obstacle object, after that the buzzer will turn on and provide notification if an obstacle object is detected, if the obstacle object is moved, the robot will move again until the finish. In the overall robot testing scheme, the robot will be given several objects in the form of blue block-shaped objects, red block-shaped objects and green triangular objects, the forklift robot testing scheme is carried out 6 times with objects placed in different positions. The result of testing the forklift robot is that the robot can detect obstacle objects in the form of red and blue blocks and green triangles if the position of the object is in front of the forklift robot The conclusion is that the forklift robot can detect obstacles if the object is in front of the forklift robot.
PREDIKSI IRADIASI MATAHARI MENGGUNAKAN ALGORITMA ARTIFICIAL NEURAL NETWORK Fatahillah Al Mahfudz; Suwasti Broto; Akhmad Musafa
MAESTRO Vol 6 No No 2 (2023): Vol.6 No. 2. Oktober 2023
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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Prediksi iradiasi matahari merupakan hal yang krusial dalam merancang dan mengembangkan sistem energi terbarukan dengan energi matahari. Dalam tugas akhir ini dilakukan prediksi iradiasi matahari dengan meggunakan algoritma Artificial Neural Network (ANN) dalam bentuk model sekuensial. Model Sequential ANN dilatih dengan dataset yang mencakup berbagai faktor cuaca seperti suhu, kelembaban, tekanan udara, serta data radiasi matahari historis. Proses pelatihan dimulai dengan membagi dataset menjadi data latih dan data uji dengan tiga variasi komposisi data latih dan uji yang berbeda (80%:20%), (75%:25%), dan (66%:34%). Model ANN yang dibuat terdiri dari empat lapisan, satu lapisan masukan, dua lapisan tersembunyi dengan jumlah neuron (32, 64), dan satu lapisan keluaran. Melalui iterasi berulang, model diperbarui menggunakan algoritma optimisasi Adaptive Moment Estimation (ADAM) untuk mengoptimalkan parameter. Model ANN diuji dengan tiga variabel masukan iradiasi matahari yang berbeda (Global Horizontal Irradiance, Diffuse Horizontal Irradiance, dan Direct Normal Irradiance). Hasil pengujian menunjukkan bahwa model Sequential ANN mampu menghasilkan prediksi iradiasi matahari dengan tingkat akurasi yang signifikan. Hasil prediksi menunjukkan Mean Absolute Error (MAE=0,0029) , Mean Absolute Percentage Error (MAPE=2,3289%), Root Mean Square Error (RMSE=0,0038), dan Mean Square Error (MSE=0,0001) pada komposisi data latih dan uji (80%:20%).
Co-Authors Ahmad Ridho Ahmad Syamsul Ananda Eddy Irvine Aris Prihatin AZZAHRA, CHEISA KURNIA Budi, Agus Setya CHAN, HERLANGGA PRATAMA Dendy Apriyana Anjasmoro Dion Setiawan Eko Afrily Trisnanto Fatahillah Al Mahfudz Fath, Nifty Indra Riyanto Indra Riyanto Jalu Nuralim KHAIRUDIN, DICKY Laksana, Eka Purwa Lutfi Wahyu Aryanto Luthfitaris Haidiazi Soehartono Maulana Ifdhil Hanafi Muhammad Fadli Arief Nazori AZ Noeroes Shobie Ahfan Nurroqim, Alfian Ogi Saputra Peby Wahyu Purnawan Pramudya Widyantoro Priyojatmiko, Purwanto Purwanto Priyojatmiko SETIAWAN, Ahmad Setiawan, Prahyudi Sirait, Rummi Santi Rama Siswanto, Siswanto Sujono Sujono Sujono Sujono Sujono Sujono, Sujono Susilowati, Tutik Sri Suwasti Broto Suwasti Broto Suwasti Broto T.W. Wisjnuadji Tri Aji Saputra Widyantoro, Pramudya Windihastuty, Wiwin Yani Prabowo Yudha Maulana Akbar Zacky Yarfa'ul Ahla Zaky Wafa Albahari