Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Jurnal Sains Dan Teknologi (SAINTEKBU)
Nia Purnamaningsih
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Library & Information Science

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Engineering and Economic Evaluation of The Production of Copper Nanoparticles (Cu-Nps) using Rongalite as Reducing Agent Nia Purnamaningsih; Asep Bayu Dani Nandiyanto
SAINTEKBU Vol. 12 No. 1 (2020): Volume 12 No 1 Tahun 2020
Publisher : KH. A. Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (482.463 KB) | DOI: 10.32764/saintekbu.v12i1.649

Abstract

The purpose of this study was to analyze the Economic Evaluation in the Production of Copper Nanoparticles (Cu-Nps) using Rongalite as Reducing Agent, an experimental method carried out in the perspective of engineering and economic evaluation. Technical analysis was performed using simple mass balance analysis, while economic evaluation was carried out using several economic parameters, including PBP, BEP, and CNPV. To support the analysis, all data is taken based on the available online shopping web. All calculations are carried out in ideal conditions for 20 years of production. Economic evaluation is carried out by giving 5 conditions (0%, 20%, 40%, 60%, and 80%) to the variable price variations in cost, sales, fixed cost, and labor. Economic evaluation analysis results show that price variations can affect the CNPV / TIC (%) curve to Life Time (year). In the variable cost, fixed cost, and labor variable price curve it is found that the condition of 0% is the highest curve compared to other conditions. While in sales price variations, the 80% condition is the highest curve. In conclusion, all price variation curves show profit. The benefits of this research are the large-scale economic evaluation data on Cu nanoparticle production.
Co-Authors Asep Bayu Dani Nandiyanto