Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Komputer dan Informasi INVOTEK: Jurnal Inovasi Vokasional dan Teknologi
Firman Ady Nugroho
Department Of Mechanical Engineering, Faculty Of Engineering, Universitas Indonesia, Jl. Lingkar, Pondok Cina, Depok, Indonesia-16424
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Transportation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
KOPYOR COCONUT DETECTION USING SOUND-BASED DYNAMIC TIME WARPING METHOD Radon Dhelika; Firman Ady Nugroho; Muhamad Bayu; Alfian Kamil
Jurnal Ilmu Komputer dan Informasi Vol 12, No 1 (2019): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (555.986 KB) | DOI: 10.21609/jiki.v12i1.631

Abstract

Kopyor coconut is a coconut that has genetic abnormalities which cause the coconut meat to have a unique texture and is detached from the coconut shell. Its uniqueness attracts many enthusiasts resulting in a high economic value, 4-5 times that of the ordinary coconut. From its external appearance, kopyor coconut does not differ with ordinary coconut and this poses a challenge in the detection stage. To date, both farmers and sellers use a traditional approach by listening to the sound of whisk from kopyor coconut to detect them. Unfortunately, this approach relies heavily on experience and expertise of the person. Therefore, a new detection approach is proposed based on sound recognition using Mel Frequency Cepstrum Coefficient (MFCC) as the method for feature extraction and Dynamic Time Warping (DTW) as the method for feature matching. Objects that will be detected are kopyor coconuts and ordinary coconut which has grown mature. By implementing both methods, a program has been developed to detect kopyor coconut with an accuracy of 93.8%.
A Study of Potato Peel Extract (Solanum Tuberosum L) as a Green Corrosion Inhibitor on Low Carbon Steel in a 3.5% NaCl Environment Nugroho, Firman A.; Soedarsono, Johny Wahyuadi
invotek Vol 23 No 3 (2023): INVOTEK: Jurnal Inovasi Vokasional dan Teknologi
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/invotek.v23i3.1159

Abstract

Wide application in the oil and gas industry made carbon steel suffer annual losses due to corrosion. The corrosion protection utilizes inhibitor have drawbacks expensive and harmful to the environment. Potato peel extract (solanum tuberosum L) and its main constituents, such as flavonoids, alkaloids, and tannins, have been investigated as a green corrosion inhibitor for low-carbon steel in a 3.5% NaCl solution. The inhibitor’s effectiveness and corrosion rate monitoring were measured using weight loss. Potentiodynamic polarization was used to investigate the type of corrosion inhibition and adsorption of plant extract on the surface. Fourier transform infrared spectroscopy (FTIR) was utilized to observe the presence of functional groups, natural compounds, and the type of bonding for adsorbed organic inhibitors on the surface. The results of the Tafel polarization analysis indicated that the potato peel extract acts as a mixed-type inhibitor. The inhibition efficiency increased with the concentration of the inhibitor extract. The optimal inhibition efficiency of 73.33% is was achieved with 6 ml of potato peel extract and 216 hours of immersion time. The inhibitive effect is due to the adsorption of inhibitor molecules on the steel surface, following the Langmuir adsorption isotherm.
Co-Authors Alfian Kamil Muhamad Bayu Radon Dhelika Soedarsono, Johny W.