Aceh is the region that some parts of the Sumatran Fault System (GSF) pass through. The existence of faults has implications for earthquake events. To understand the impact of seismic activities that occur along the fault, it is necessary to do fault mapping and geometry modelling. In this study, magnetotelluric geophysical methods were used to describe 2D resistivity structures in the northern Sumatran. A geophysical survey using magnetotelluric method was done to image 2D resistivity model along the northern part of the fault. The measurement was carried out two lines, with a length of the profile is 92 km and 114 km, consisting of 14 measurement points across the fault, with distances between tracks ranging from 10-15 km. 2D resistivity models were generated by using the Reduce Basic Occam (REBOCC) code. From the resulted model, it can be interpreted as indications of the existence of the Aceh Segment and Segment Seulimeum Faults. In-line C, there are two locations indicated by faults, namely Saree area associated with the Seulimeum segment and the Jantho area associated with the Aceh segment and line D in the geographic area is associated with the Aceh segment. From the resulted model, the Sumatran Fault in the northern part of Aceh was divided into two segments as shown in the model.
The use of the notorious synthetic dye, rhodamine B, in food and beverage products has been widely reported. This application urges the need to develop an analytical method that can provide reliable rhodamine B data with an easy operational technique. Therefore, this research is aimed to develop an Arduino Uno-based TCS3200 color sensor and study its application to determine rhodamine B levels in syrup. The design of the analytical instrument included TCS3200, an Arduino Uno microcomputer, an Integrated Development Environment (IDE) software, a black box container, and a 24 × 2 matrix display screen, where samples were prepared via absorption using wool thread. With a linear range of 1–20 mg/L, our proposed colorimetric sensor had recoveries of 96.25–110.3%, which was better compared to that was obtained from the UV-vis (81.8–100.6%) method. The detection and quantification limits of the sensor were 2.766 and 8.383 mg/L, respectively. The syrup samples used in this study were purchased from the local stores in Banda Aceh. Based on the proposed TCS3200 color sensor, the highest rhodamine B concentration from the syrup sample was 16.74 mg/L. The t-test analysis in this study revealed that the Rhodamine B levels quantified using the newly developed TCS3200 color sensor were not statistically or significantly different from the UV-Vis spectrophotometer method.
Patchouli is an essential oil used in perfumes, cosmetics, soaps, insect repellents and also a candidate for biodiesel from non-edible oil. Patchouli oil from Aceh Province, Indonesia, is generally produced using a distillation process. The relationships between physical properties, i.e. the viscosity and quality, of patchouli oil from Aceh Province and blends with other oils, were investigated. The mixture oils used were palm oil, kerosene and lubricant oil SAE 40. The mixture compositions were 100:0; 75:25; 50:50; 25:75 and 0:100 (v/v). It was found that mixing palm crude oil (25%) or lubricant oil (25%) with patchouli oil increased the viscosity by about 41% and 72%, respectively, compared with pure patchouli oil. A 53% decrease in viscosity was observed when the patchouli oil blend contained 25% kerosene. Natural variation in patchouli alcohol (PA) and iron (Fe) content in the patchouli oil sample was found to increase the value of viscosity by up to 1.5%.
Remote sensing makes it possible to map potential geothermal site for a large area effectively using thermal infrared. The purpose of the present research is to overlay ground temperature, resistivity and satellite retrieved temperature in identifying geothermal potential site in Jaboi, Sabang-Indonesia. The data of acquisition of the DEM imagery was January 3rd, 2009 and the Landsat 8 imagery is July 18th, 2017. The satellite data were applied to extract the land surface temperature and land classification across. Two supporting data in situ were used to validate the results from remote sensing. First dataset was ground temperature measurements with total 114 points and second dataset was vertical electrical sounding (VES) with total of 51 points. Satellite, VES and ground temperature data were processed and analysed using the Envi 5.3, PCI Geomatica 2016 and ArcMap 10.4. The results from each data were integrated to produce a map shows geothermal potential. Its integration produced four areas which were considered to have high geothermal potential. However, these areas vary in term of the clustering of the features of interest, for example lineament and drainage density of the area, high temperature in the surface area, fault existence and low resistivity subsurface. All the features must take into consideration to rank potential area which has higher potential. Finally, a map of geothermal potential across were successfully created as an insight for future reference. ©2020. CBIORE-IJRED. All rights reserved
Abstract. It has been conducted a geo-electrical resistivity survey at geothermal area of Ie Jue, Aceh Besar. The survey aims to measure resistivity value in the area. It is expected that the values of resistivity will image the subsurface structure in the area. In addition geological features in the area are shown after we process it. The data acquisition in this study was acquired using a SuperSting R8/IP resistivitymeter and its data processing using EarthImager 2D software to get the image of resistivity pseudosection. The two lines of measurement crossed the surface geothermal manifestation. Each line has 330 m in length, and 56 electrodes with electrode space of 6 m. The result of resistivity pseudosection model interpreted based on geological condition and observation in the area. Resistivity pseudosection model shows the study is water-saturated (<64.0 Ωm) to a depth of ±65 m and a highly conductive zone (0.6-3.5 Ωm) with a thickness of 30-50 m. This conductive layers below the embodied surface at a distance of 158-160 m on the IJ-Y1 line and at a range of 130-185 m on the IJ-Y2 line. This conductive zone is indicated as a weak zone where geothermal fluids are transported to the surface.
The purpose of the present study is to investigate the physical properties of medium roasted Sidikalang robusta coffee beans that originated from various colors of coffee cherries. A semi-wet method has been applied for each coffee cherry with a range of fruit ripeness (green, yellow, orange, bright red and dark red). The physical properties measurements include mass loss, mass density, porosity, and water content. After roasted for medium level, the coffee density is difference for each coffee cherries colors namely 0.42 g/cm3 (green cherries), 0.31 g/cm3 (yellow cherries), 0.40 g/cm3 (orange cherries), 0.34 g/cm3 (bright red cherries), and 0.25 g/cm3 (dark red cherries). The mass declined after medium roasted is 16.82% (green cherries), 17.00% (yellow cherries), 18.70% (orange cherries), 18.32% (bright red cherries) and 16.76% (dark red cherries). The coffee beans porosity difference before and after medium roasted is decreases by 13.56% for green cherries and 16% for yellow cherries and increased by 12.22 (orange cherries), 3.44% (bright red cherries), and 6.88% (dark red cherries). Finally, the water content of coffee beans was 8.38% (green cherries), 9% (yellow and orange cherries), 7.91% (bright red cherries), and 10.83% (dark red cherries). The present study concludes that cherries colors have influenced the coffee bean’s physical properties before and after medium roasting.
It has been made and calibrated a device to detect dissolved mercury (II) ions as a toxic hazard using Arduino Uno and color sensor TCS3200. The purpose of this design was to realize a device for detecting dissolved mercury (II) ions as heavy metal pollution based on the relation of soluble mercury ion concentration to the liquid from the imagery data. Conjoint natural and technological disasters like the Mercury may pose tremendous risks to regions which are unprepared for such disasters. The results could be an environmental disaster, particularly when these occur in a highly populated area. Controlling the levels of dissolved mercury ions on a regular basis is a part of the environmental disaster management. The device works by converting any light by the photodiode optical sensor when the output is such a magnitude of an electrical current which proportional to the received light color level. The currents that are processed using the Arduino IDE software to extract the RGB values of the dissolved mercury (II) ions image data. Dissolved mercury ions generally do not have the necessary color, therefore, biocatalyst as reagents to generate color in a solution containing the mercury and this study using the Silver Nanoparticles. After reacted with a solution of known concentration of mercury in the value of the solution then carried out on a sample data collection to determine the RGB color values in the solution. In general, the device can be used as a color calibrator applied to the detection of dissolved mercury (II) ions by the obtained image data.
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