Article Per Year (5 Year)
p-Index From 2020 - 2025
2.554
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Mikrotek Nusanatara of Engineering Rekayasa Mesin FLYWHEEL : Jurnal Teknik Mesin Untirta REKAYASA ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Dinamisia: Jurnal Pengabdian Kepada Masyarakat Infotekmesin Masyarakat Berdaya dan Inovasi Jurnal Fortech Jurnal Foundry Jurnal FORTECH
Mirza Pramudia
Universitas Trunojoyo Madura
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Social Sciences Transportation Other

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
Rancang Bangun Timbangan Buah Digital Menggunakan Metode YOLO Evita, Clarisna; Alfita, Riza; Haryanto, Haryanto; Vivin Nahari, Rosida; Ulum, Miftachul; Pramudia, Mirza
Jurnal FORTECH Vol. 3 No. 1 (2022): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v3i1.105

Abstract

The rapid development of technology has created various conveniences in all aspects of human life. One of the fields of technology that is rapidly developing is the world of electronics, which demands digitization to facilitate human activities. For example in the field of trade, humans want a process that is practical and easy. Weight measurement is one of the problems that hinders the trading process, because it is still done manually and is less efficient. The purpose of making a design of automatic digital scales based on fruit images using the yolo method (you only look once) is to determine the type and weight of fruit using a Load Cell sensor simultaneously and accurately. The working principle of this tool is the first, the detection of fruit types is processed by a USB Webcam by taking video from the Webcam and then processing it using the Yolo method to identify the type of fruit. The second stage is input from the Load Cell sensor sending object data read to the Raspberry Pi as the main controller. to determine the weight of the fruit, then the last stage is displayed on the LCD and the results can be printed out as proof of purchase receipt. From the LCD directly displays output in the form of price, weight and type of object being weighed. The Yolo method can detect objects and colors and has high detection speed and accuracy.
Co-Authors Achmad Fiqhi Ibadillah Aery Rachmad, Aery Ahmad Sahru Romadhon Clarisna Evita Diana Rahmawati Dikhyak Falakhul Akmal, M. Evita, Clarisna Hairil Budiarto Haryanto Haryanto Haryanto Haryanto Kartika Kartika Kartika Khamdi Mubarok KURIAWAN, ADI KUSUMA, M.KURNIAWAN HADI M. Dikhyak Falakhul Akmal Miftachul Ulum, Miftachul Mochammad Ahied Mohammad Safiudin Mubarok, Khamdi Murodah, Nailatul Mustafa Mustafa Rifky Maulana Yusron Riza Alfita Riza Alfita Riza Alfita ROSIDA VIVIN NAHARI Safiudin, Mohammad Teguh Prasetyo Teguh Prasetyo Ulum, Miftachul Vivin Nahari, Rosida Yundari, Yundari