Claim Missing Document
Check
Articles

Found 4 Documents
Search

Sistem Pengenalan Wajah Mahasiswa Praktikum Di Laboratorium Teknik Elektro dan Informatika Polmanbabel Menggunakan Convolutional Neural Network (CNN) Akbar Nugraha, Fauzan; Ayu Fazira, Hanum; Iqbal Nugraha, Muhammad; Febriansyah, Aan
Jurnal Inovasi Teknologi Terapan Vol. 1 No. 1 (2023): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v1i1.22

Abstract

Facial recognition is a type of biometric based on human facial features. Face recognition is very important for an institution such as a university where many students make it difficult for employees to recognize students one by one. This study used students as objects and focused on one laboratory room. The goal is to identify anyone who is in the laboratory room. The Convolutional Neural Network (CNN) method with a webcam is used in this study to recognize the faces of students or anyone who enters the laboratory. The system will report anyone caught by the camera including those who are not recognized. Based on the experimental results, data is obtained that the system can recognize objects well up to a distance of 4 maters and the optimum for 100% accuracy is at a distance of 3 meters. Accuracy will decrease if the distance from the object to the camera is less than 3 meters, which is 93,33% for a distance of 2 meters and 86,67% for a distance of 1 meter.
Rangkaian Pengkondisi Sinyal dan Regresi Linier sebagai Metode Peningkatan Akurasi Pembacaan Sensor TDS pada Sistem Hidroponik Miftah Syahfiqri, Muhammad; Kuswara, Edi; Iqbal Nugraha, Muhammad; Saputra, Zanu
Jurnal Inovasi Teknologi Terapan Vol. 1 No. 1 (2023): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v1i1.83

Abstract

Total solidity or TDS is one factor that indicates water quality with PPM readings (parts per million). The TDS role in the hydroponics plantation system is to measure the nutrients contained in the water that is used as a growing medium. However, the TDS sensors used in the hydroponics system are able to read only the PPM value at a sensitivity of 2 PPM per 1 ADC on Arduino Mega or Uno. In the study the authors developed a method of calibration by design a signal condition circuit to increase the value range of TDS censorship output, as well as the application of linear regression methods to obtain the transfer function leading to calibration process. Research shows that a set of op-amps was able to amplifying TDS 'advanced TDS output, which originally had a maximum output of 2.383 v to 5v. The TDS sensor's accurate value that has been added to the signal reinforcement chain that originally valued 96.05% to 96.63%, with an accredited value increase of 0.58%.
APLIKASI SENSOR WARNA TCS3200 PADA SISTEM PENYORTIRAN BARANG BERBASIS INTERNET OF THINGS (IOT) Burdadi, Junaidi; R, Ridwan; Iqbal Nugraha, Muhammad; Dwisaputra, Idra
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 2 No. 01 (2022): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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

Abstract

The rapid development of technology in the industrial world applies the concepts of automation carried out by machines without using human power in the application of a system. There are many systems used to simplify human work, such as item code identifiers in the barcode process. In this journal the TCS3200 color sensor application is used as a medium to read the values ​​of four types of colors, including: red, blue, yellow and green. After the TCS3200 color sensor detects the color, the NodeMcu will process the data which will be grouped into 5 types using four servo motors as arms that function to enter items that have been identified by the TCS3200 color sensor according to their respective color containers. The TCS3200 color sensor is also used as a medium to calculate how many items of each color are detected and will be displayed on the IoT-based blynk application. This application can monitor how much of each color is in the container and can also control to start and stop the system. This test was carried out 9 times and there were no errors in the test and the number that was read on the blynk application and the manual system was the same.
ROBOT KESEIMBANGAN PADA SEBUAH BOLA MENGGUNAKAN SISTEM KENDALI PID Ferdiansyah, Muhammad; Fauzan, Muhammad; Iqbal Nugraha, Muhammad; Dwisaputra, Indra
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 2 No. 01 (2022): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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

Abstract

The ball balance robot is one of the dynamic balancing robots. This robot must be actively controlled to stabilize it so that it remains balanced perpendicular to 0˚ above the ball on the ground or floor. The control system used is the PID control system. The tests carried out include sensor testing, motor testing, robot response testing, and the implementation of the PID control system on the robot. Of the various tuning methods tested on the robot, the manual tuning method gives the robot a slightly longer fall time of 320ms, compared to other methods, namely Ziegler-Nichlos=70ms, CHR Overshoot 0%=170ms, CHR Overshoot 20%=160ms, and Cohen-Coon =150ms. Overall data processing is processed by the Arduino Mega2560 microcontroller which receives angle readings from the MPU6050 sensor as input and actuation on the stepper motor as output for balancing on the robot.