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Anwar Ilmar Ramadhan
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Journal of Applied Sciences and Advanced Technology
Published by Universitas Muhammadiyah Jakarta
ISSN : -     EISSN : 26226553     DOI : 10.24853/jasat
Core Subject : Engineering,
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering
Journal of Applied Sciences and Advanced Technology (JASAT) is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of applied sciences, advanced technology. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the JASAT follows the open access policy that allows the published articles freely available online without any subscription.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol 3, No 2 (2020): Journal of Applied Sciences and Advanced Technology" : 5 Documents clear
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.
Readiness of National Industries Infrastructure to Support the RDE Programme in Indonesia Dharu Dewi; Arief Tris Yuliyanto; Moch Djoko Birmano; Rr Arum Puni; Rijanti Rijanti; Mudjiono Mudjiono; Taswanda Taryo; Susyadi Susyadi; Rustama Rustama; Sriyana Sriyana
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.3.2.65-74

Abstract

Nuclear Power Plant (PLTN) is one of the options to meet electricity for society and industry. BATAN has developed an Experimental Power Reactor (RDE) design which is one type of Non-Commercial Power Reactor (RDE) is a HTGR (High Temperature Gas-cooled Reactor) NPP with 10 MWth Pebble Bed Reactor (PBR) technology, and is used for non-electric electricity. This reactor type can generate electricity and heat. The development of RDE in Indonesia requires 19 aspects of nuclear infrastructure. One aspect of them is the involvement of national industries. The RDE development is expected to involve several national industries that can participate in supplying government goods and services. The purpose of this research is to determine the capability and readiness of the national industrial infrastructure to be able to participate in the development of RDE in Indonesia. The methodology used is literature review, technical surveys or visits, and technical consultations with key persons from industries. The study results conclude that the civil construction industries and the EPC industries have the readiness and ability to be able to build RDE building especially for non-nuclear parts. The Architect Engineering have the potential and capability for the RDE project management, engineering and Design development. The mechanical industries have the potential and capability to produce turbines, generators, condensers and heat exchangers. The electrical industries have the potential and capability to supply electrical components for the electrical system, such as Switchgear, main transformers, distribution transformers, generators, conductors, power cables, connectors and electrical panels. The Instrumentation & Control industries have the potency and capability to supply I&C products such as instrumentation cable, instrumentation communication system, temperature controller, etc. The output expected from this research is the readiness of nuclear infrastructure, especially the national industries for the supply of non-nuclear components.
Weather Forcast Optimization Using Learning Vector Quantization Methods with Genetic Algorithms Siska Andriani; Kotim Subandi
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.3.2.45-50

Abstract

Weather forecasting is one of the important factors in daily life, as it can affect the activities carried out by the community. The study was conducted to optimize weather forecasts using artificial neural network methods. The artificial neural network used is a learning vector quantization (LVQ) methods and genetics algorithms (GA). BMKG weather data was originally modeled using the LVQ method, then also created the LVQ Method Optimization weather forecast model using GA. Data attributes consist of numeric and categoric. Numeric attributes as input parameters are: temperature, evaporation, sunlight, humidity and rainvol. While the categorical attributes are ourput from weather forecasts include: Cloudly (C), Partly Cloudly (PC), Sunny (S), Rain (R) and Cloudly rain (CR). Sample data used is 1096 data. Both models were tested so that they obtained 72% accuracy results for weather forecast models using the LVQ method and 73% of the weather forecast accuracy results that were optimized using GA. The results have not achieved the most optimal results because it turns out that citeko region weather data is not suitable for use in both methods. Because the data has an imbalance in the amount of data per class.
Analysis of Feasibility Indicators of Two Wheel Engine Oil Using Light Sensor (LDR) Ike Yuni Wulandari; Yoana Nurul Asri
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.3.2.51-56

Abstract

The oil feasibility measurement tool to determine the viscosity level contained in a two-wheeled vehicle using a light sensor (LDR) has been designed and implemented. Testing through five oil brands with homogeneous specifications that are generally used by two-wheeled vehicles. The manufacture of this tool uses three integrated systems in one method, namely: input via the LCD and laser sensors, the process system by the microprocessor in the form of Arduino, and the output in the form of an LCD final display. These three systems are connected through the gear box block mechanical system. The results are converted to the electrical resistance value that appears on the indicator. The set point in the form of the range of electrical resistance was obtained through experiments from the five new oil brands. Furthermore, the wheels of the Gear Box are rotated to produce a value in the form of RPM. From these five types of oil, data is obtained that the gear box which rotates in a duration of twenty minutes with a minimum speed of 210 RPM and a maximum speed of 720 RPM indicates that the quality of the oil is in a good category
Environmental Burden Computation in White Crystal Sugar Industry using the Life Cycle Assessment Methods Hermawan Hermawan; Yulian Syahputri; Kotim Subandi; Adriana Sari Aryani
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.3.2.35-44

Abstract

Life Cycle Assessment (LCA) is used to assess environmental impacts that can potentially result from an industrial activity, from cradle to grave. LCA assessment in accordance with the principles of ISO 14040 is carried out starting from the stage of determining the scope, collecting data, preparing the Life Cycle Inventory (LCI), formulating the Life Cycle Impact Assessment (LCIA), interpretation and presentation. At the LCI stage, data from a sugar factory studied is collected from the results of material balance analysis, exhaust gas analysis, liquid waste analysis, and solid waste calculations for the 2019 period. Life Cycle Impact Assessment characterizes each LCI data towards potential environmental impacts that are make it possible. Characterization was carried out by grouping the impacts on Energy Depletion Potential (EDP), global warming (GWP), Eco toxicity aquatic (ETA), terrestrial Eco toxicity (ETT), Abiotic Depletion Potential (ADP), Photochemical Oxydant Formation (POF), Acidification Potential (ACP) , Human Toxicity Potential (HTP), Nutrification Potential (NTP), Ozone Depletion Potential (ODP). The fourth largest contribution to the environmental burden of sugar factories based on 2019 data is GWP 375,966.95 tons of CO2 equivalent, followed by ACP 89,183.03 tons equivalent to NOx, EDP worth 33,086.91 tons of fuel oil equivalent, and NTP of 14,598.66 tons equivalent to COD . In addition, it also needs attention, namely HTP 11,621.83 tonnes equivalent to phenol, ETA 11,163.18 tonnes equivalent to BOD5, and ETT 9,748.49 tonnes equivalent to ash.

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