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All Journal Indonesian Journal of Pharmaceutical Science and Technology Jurnal Ilmiah Wahana Pendidikan
Farhan Firmansyah
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Penerapan Metode Economic Order Quantity (EOQ) Dalam Pengendalian Persediaan Bahan Baku Pada Industri Rumahan Tahu Susu XYZ Farhan Firmansyah; Sutrisno Sutrisno
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 5 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (195.301 KB) | DOI: 10.5281/zenodo.6408880

Abstract

XYZ Milk Tofu Home Industry is a Home Industry that is quite developed and is able to meet market demand in several regions, it's just that in this case the form of the need for the preparation of raw materials is still fairly manual or traditional using only instinct or estimates, so you have to order raw materials over and over again which results in an increase in ordering costs. The purpose of this study is to increase the maximum ordering capacity. The method used is EOQ (Economic Order Quantity) by taking into account ordering costs and storage costs. The application of the EOQ method is expected to be able to handle the problems that have occurred so far. Based on the results of cost analysis, orders increased from 90.20 Kilograms to 408,29 Kilograms. With the EOQ (Economic Order Quantity) method, it can also be seen that the value of the Safety Stock is 267 Kilograms and the Pre-Order Point is 19 Kilograms, to prevent delays in the supply of raw materials. The conclusion of this research is that by applying the EOQ method, it is proven that production costs in the production of milk tofu can be reduced to get a more optimal profit.
Flavonoids from Basil Leave as a Potential Inhibitor of SARS-COV-2 Main Protease: an In Silico Approach Meilinda setya praceka; Farhan Firmansyah; Hafadhoh Arvyna; Gilang F. Dzikrillah; Wa O.I. Fitriah
Indonesian Journal of Pharmaceutical Science and Technology Suppl. 5, No. 1 (2023)
Publisher : Indonesian Journal of Pharmaceutical Science and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/ijpst.v0i0.45864

Abstract

SARS-COV-2 a virus which caused the global pandemic Coronavirus-2019 (COVID-19) has infected about 659,108,952 among, with 6,684,756 deaths in the world as stated by WHO on December 23 2022. Basil leaves have antiviral potential, especially in groups flavonoids. People who are exposed to the COVID-19 virus are given many drugs that cause many side effects. Therefore, it is advisable to consume drugs from natural ingredients that are low in side effects such as basil leaves. This study aims to predict flavonoid derivative compounds from basil leaves that have the potential as an anti-viral drug for COVID- 19 by in silico, which has high affinity with low side effects. The method used is molecular docking for target analysis, prediction of ADME, and prediction of toxicity. The results of this study, there is a naringenin compound that has the highest potential to become an antiviral for COVID-19 with a ∆Gibbs value of -4.04 kcal/mol and an KI of 1.09 mM. These flavonoid derived compounds comply with Lipinski rules, so that the flavonoid content in basil leaves can help treat COVID-19 as a drug derived from natural ingredients that has antiviral potential with low side effects.
Co-Authors Gilang F. Dzikrillah Hafadhoh Arvyna Meilinda setya praceka Sutrisno Sutrisno Wa O.I. Fitriah