Penentuan Waktu Tebang Tebu Dengan Menggunakan Nilai Analisa Awal Pada Pabrik Gula (studi kasus : PG Pesantren Baru Kediri)

Technological developments, especially in the information, we can utilize information technology to facilitate a particular company or factory sugar factory in taking a decision to do the milling process. Some of the problems often faced by a sugar factory in taking a decision to do the milling process include the difficulty of determining the time really right to make the process of sugar-cane cutting. To solve this problem in this thesis uses fuzzy logic to determine a schedule for cutting. This final project aims to create a computational system to replace the old system still used manually in determining the time of cutting sugar cane, and the end result is expected to determine the exact time of harvest and increase yield milling Keywords : cutting sugar cane, fuzzy, first analysi

Computational Study of Asian Propolis Compounds as Potential Anti-Type 2 Diabetes Mellitus Agents by Using Inverse Virtual Screening with the DIA-DB Web Server, Tanimoto Similarity Analysis, and Molecular Dynamic Simulation

Propolis contains a wide range of pharmacological activities because of their various bioactive compounds. The beneficial effect of propolis is interesting for treating type-2 diabetes mellitus (T2DM) owing to dysregulation of multiple metabolic processes. In this study, 275 of 658 Asian propolis compounds were evaluated as potential anti-T2DM agents using the DIA-DB web server towards 18 known anti-diabetes protein targets. More than 20% of all compounds could bind to more than five diabetes targets with high binding affinity (<−9.0 kcal/mol). Filtering with physicochemical and pharmacokinetic properties, including ADMET parameters, 12 compounds were identified as potential anti-T2DM with favorable ADMET properties. Six of those compounds, (2R)-7,4′-dihydroxy-5-methoxy-8-methylflavone; (RR)-(+)-3′-senecioylkhellactone; 2′,4′,6′-trihydroxy chalcone; alpinetin; pinobanksin-3-O-butyrate; and pinocembrin-5-methyl ether were first reported as anti-T2DM agents. We identified the significant T2DM targets of Asian propolis, namely retinol-binding protein-4 (RBP4) and aldose reductase (AKR1B1) that have important roles in insulin sensitivity and diabetes complication, respectively. Molecular dynamic simulations showed stable interaction of selected propolis compounds in the active site of RBP4 and AKR1B1. These findings suggest that Asian propolis compound may be effective for treatment of T2DM by targeting RBP4 and AKR1B1