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All Journal Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT)
Meiyanto Eko Sulistyo
Department of Electrical Engineering, Faculty of Engineering, Universitas Sebelas Maret, Surakarta.
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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AERODYNAMIC CHARACTERISTIC AND AIRPLANE STABILITY AT THE PLERIMENARY DESIGN STAGE Meiyanto Eko Sulistyo; Muhammad Ikyu Arqie Ramadhan; Ardya Paradipta Sylvano Inderawan
Journal of Electrical, Electronic, Information, and Communication Technology Vol 2, No 1 (2020): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.2.1.41198

Abstract

Preliminary Design is the second stage in aircraft design after knowing the needs and specifications at the Conceptual Design stage. This Preliminary Design includes the conceptual design evaluation of aircraft performance in several fields, such as aerodynamics, engine power, and aircraft structure. This Job Training Report illustrates how is taken to conduct aerodynamic and aircraft stability analysis at the plerimenary design stage using NASA's open source software, Open Vehicle Simulation Program (OpenVsp). The aircraft model is simulated until aerodynamic and stability data are obtained which later can be processed for aircraft control design. 
Monitoring Print Engine Output Using Arduino and Raspberry Pi Meiyanto Eko Sulistyo; Stephanus Hanurjaya; Muhammad Danang Prastowo
Journal of Electrical, Electronic, Information, and Communication Technology Vol 3, No 1 (2021): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.3.1.49771

Abstract

In the printing industry process, monitoring is necessary for quality control of the product. The making of the tool on this project serves to monitor the output of the production machine. This monitoring is done by detecting the product output from the production machine using Sensor E18 D80NK. When the sensor detects the output, the sensor sends a signal to the Arduino UNO R3 which will calculate the amount of output from the product. Arduino will send information of the number of outputs via a USB connection to a central computer that is a Raspberry Pi 3 model B. The Python program on Raspberry Pi will read input from each Arduino address and display the data in realtime. At the same time, the data will be stored as a text file. This text file contains the number of product output and the time of the output. The prototype of this tool has been successfully created and there is still much development to do.
Co-Authors Ardya Paradipta Sylvano Inderawan Muhammad Danang Prastowo Muhammad Ikyu Arqie Ramadhan Stephanus Hanurjaya