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All Journal Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Science, Technology, and Communication Journal
Rizky Ardie Yani
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Computer Science & IT Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mathematics

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PENUMBUHAN DAN KARAKTERISASI NANOPARTIKEL PERAK PADA SUBSTRAT PADAT Rizky Ardie Yani; Iwantono '; Akrajas Ali Umar
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

Silver nanoparticles have been successfully grown on solid substrate. The growth of the particles used wet chemical  method which consisted of two steps, seeding and growing steps. The silver nanoparticle growth was carried out by two variations which were surfactant’s concentration and ascorbic acid’s volume.  The UV-Vis spectrum profile of the samples described that the  growth of silver nanoparticles of spherical shape was dominated on the ITO, represented as a sharp single peak of the absorption spectra. Its characterization measured by XRD showed that silver nanoparticles had grown on the substrate with crystal orientation (1 1 1) and (2 0 0). The FESEM images depicted that the shape of silver nanoparticles was a spherical shape with their uniform diameter size of 300-650 nm.
Volumetric prediction of symmetrical-shaped fruits by computer vision Yani, Rizky Ardie; Minarni, Minarni; Husein, Ikhsan Rahman
Science, Technology and Communication Journal Vol. 1 No. 1 (2020): SINTECHCOM Journal (October 2020)
Publisher : Lembaga Studi Pendidikan and Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v1i1.23

Abstract

Computer vision in the industrial sector has the highest level of need because the work is done automatically and can speed up and save time for work productivity. Not always, work will be done manually by human workers who sometimes have obstacles in the process of taking place. The high cost causes the need for technology to simplify work so it does not materialize. A simple imaging system with computer vision is proposed in this study. Measurement of volume estimates from several samples was carried out to see the efficiency of computer vision imaging work by comparing the measurement results manually and water displacement method. Computer vision imaging is built using a CMOS camera, line laser, Raspberry Pi, Python programming language, and OpenCV. Imaging results show that computer vision has the ability to read the sample volume estimate more effectively against objects that have a symmetrical shape. The smallest error percentage of measurement of volume estimation by computer vision against manual method and the water displacement was 7.44% and 7.18% for sunkist oranges and 10.88% and 13.67% for symmetrical watermelon, respectively.
Co-Authors AA Sudharmawan, AA Akrajas Ali Umar Husein, Ikhsan Rahman Iwantono Iwan Barnawi