Article Per Year (5 Year)
p-Index From 2020 - 2025
0.983
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Ternak Mechatronics, Electrical Power, and Vehicular Technology Jurnal Penelitian LPPM (Lembaga Penelitian dan Pengabdian kepada Masyarakat) IKIP PGRI MADIUN Premiere Educandum Indonesian Journal of Science and Technology Jurnal Pajak dan Keuangan Negara (PKN) Jurnal Pemberdayaan Masyarakat Indonesia (JPMI)
Edy Riyanto
State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Material Science and Engineering, Donghua University, Shanghai 201620
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Social Sciences Veterinary

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Indonesian Journal of Science and Technology

 1 
Grape Drying Process Using Machine Vision Based on Multilayer Perceptron Networks Suprapto, Suprapto; Riyanto, Edy
Indonesian Journal of Science and Technology Vol 5, No 3 (2020): IJOST: VOLUME 5, ISSUE 3, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i3.24991

Abstract

This paper proposed a grape drying machine using computer vision and Multi-layer Perceptron (MLP) method. Computer vision is for taking grapes’ image on conveyor, whereas MLP is for controlling grape drying machine and classifying its output. To evaluate the proposed, a kind of grapes are put on conveyor of the machine and their images are taken every two min. Some parameters of MLP to control the drying machine includes dried grape, temperature, grape area, motor position, and motion speed. Those parameters are to adjust an appropriate MLP’s output, including motion control and heater control. Two different temperatures are employed on the machine, including 60 and 75°C. The results showed that the grape could be dried with similar area 3800 pixel at the 770th min using temperature 60°C and at the 410th min using temperature 75°C.  Comparing between them, the similar ratio could also be achieved at 0.64 with different time 360 min. Indeed, the temperature setting at 75°C resulted faster drying performance.
Co-Authors Aditya Wirawan, Aditya Adiwinarti, R.R. Retno Agung Purnomoadi Budi Prawara Budi Purnomo Dewi Tryanasari Ellys Mersina Mursidik, Ellys Mersina Endang Purbowati Estiko Rijanto herwinda, fauzia alma Prayudi Nugroho, Prayudi Restitrisnani, Vita Suprapto Suprapto Vissia Dewi Haptari, Vissia Dewi