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Journal : Journal of Applied Sciences and Advanced Technology

The Influence of Operation Conditions of Gedi Leaf Drying Process (Abelmoschus Manihot. L) On Antioxidant Activity Siska Ayu Anggraini; Tri Yuni Hendrawati; Ismiyati Ismiyati
Journal of Applied Sciences and Advanced Technology Vol 3, No 2 (2020): Journal of Applied Sciences and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.3.2.57-64

Abstract

Gedi leaf (Abelmoschus manihot L) is a type of plant that is categorized in a group of medicinal plants / herbal plants and grows mostly in North Sulawesi and is a tropical plant of the Malvacea family, gedi leaves contain flavonoids, tannins, alkaloids, anthraquinone saponins and anthocyanins which have antioxidant activity. Antioxidants are important compounds in maintaining a healthy body. Because it functions as a free radical scavenger. In this study, examined the use of gedi leaf drying as an alternative source of antioxidants to be applied for face masks. Gedi leaf powder sample was tested by Proximate testing to determine the characteristics of gedi leaf powder and gedi leaf powder used as a powder mask preparation. The method used to obtain dry gedi leaves is the oven with a temperature variation used 40; 50; 60 ° C and 5 time variations; 6; 7 hours. The results showed that the best yield of drying gedi leaf powder against time to temperature was 5 hours with a temperature of 70⸰C, from the best yield it was processed into masks divided into 3 formulas, namely 10; 20; 30% dried gedi leaves in a 40gr formula with rice flour as an added ingredient. From the results of making 3 dry gedi leaf mask formulas tested proximate with the help of 20 panelists, the results of the panelists' assessment of formula 2 with 20% gedi leaves are preferred and get a value of 20% higher. Measurement of the 3 formulas obtained pH values of gedi leaf masks of 5.63, 5.68, and 5.72.
Process Control on the Platformer with the Adaptive Neuro-Fuzzy Inference System (ANFIS) Method Heri Setiono; Tri Yuni Hendrawati; Yustinah Yustinah
Journal of Applied Sciences and Advanced Technology Vol 4, No 3 (2022): Journal of Applied Sciences and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.4.2.51-56

Abstract

Catalytic naphtha reform (platformer) is the main process carried out in oil refineries to increase low octane naphtha into high octane gasoline. The Reformer will meet a wide range of products that require operating flexibility. Process optimization can be done by controlling using the ANFIS method. This optimization requires an accurate process model that is applicable in a wide range of operating conditions, therefore simplifications are made in the kinetic model modeling. This model provides three temperature profiles and concentrations of important hydrocarbons (naphthene, paraffin, and aromatic) throughout the reactor. The optimal control scheme using the ANFIS method is used to maximize the aromatic yield, following the reactor inlet temperature limit. The results obtained were compared with the aromatic results without control and using control with the neural network method. The results showed that the ANFIS method has the ability to control the process. Furthermore, the results obtained from the process are used to determine the pressure of the process during the reaction.
Simulation of Efficiency in Improving the Performance of Cylindrical Vertical Furnace Using Indirect Method Dimas Adhitya Rahman; Ismiyati Ismiyati; Tri Yuni Hendrawati
Journal of Applied Sciences and Advanced Technology Vol 5, No 1 (2022): Journal of Applied Sciences and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.5.1.7-12

Abstract

One of the essential pieces of equipment at the Pertamina Refinery Unit V Balikpapan is the Furnace F-3-04 Vertical Cylindrical type. Furnace operation efficiently becomes very important given the vast energy consumption and directly influences the level of refinery profits. Therefore, it is necessary to do a simulation to increase the efficiency value to minimize energy use. This study aimed to determine the effect of O2 Excess and Flue Gas temperature on efficiency and to find the best efficiency from the simulation results on a Vertical Cylindrical Furnace. In this study, the furnace's efficiency is calculated and simulated using the indirect method. The heat entering the furnace is reduced by the heat lost compared to the heat entering. Initial data processing is a normality test to determine whether the data is usually distributed and can be used for data to be entered into the mathematical simulation of furnace efficiency. The efficiency value produced by Furnace F-3-04 is 86.3%, with an O2 excess value of 7.25% and a Flue Gas temperature of 419 0C. From the simulation carried out, it can be seen that the operating parameter that most affects efficiency is O2 Excess of 0.15 – 0.18% for every 0.5% decrease in O2 Excess for 5 simulations. Meanwhile, the Flue Gas temperature gets a value of 0.02 – 0.03% for every 2 0C decrease for 5 simulations. The best efficiency value is 87.7%, with O2 Excess of 4.75% and Flue Gas temperature of 409 0C.