Biogas is a gas produced by the decomposition of organic materials involving microorganisms in the anaerobic state. The research focused on obtaining good quality biogas through NaOH and KOH purification by reducing H2S and CO2 levels. The purification of biogass proceeded in a variation of absorbent concentrations 0,05M, 0,1M, 0,15M NaOH and KOH solution. Gas chromatography chose for biogas characterization. Based on TCD detector in gas chromatography, it represented concentration area in percentage (%). The content of biogas for control was 2.14% CO2 and 0% H2S. The Addition of 0.05; 0,1M; 0,15M NaOH produced 1,57%, 1,56% and 2,98% CO2 respectively. Moreover, the addition of 0.05 M; 0,1M; 0,15M KOH yielded 0.81%, 0,30% and 1,03% CO2. The highest of the burning calories was the NaOH 0,15M amount of 66,528 kcal and the lowest of the burning calories was the 0,1M KOH amount of 38,976 kcal.
沼气是微生物在厌氧状态下分解有机物质产生的气体。研究重点是通过降低H2S和CO2浓度对NaOH和KOH进行净化，获得优质沼气。在不同浓度的NaOH和KOH溶液中进行净化，分别为0,05 m, 0,1m, 0,15 m。气相色谱法用于沼气的表征。以气相色谱中TCD检测器为基础，用百分数表示浓度面积。对照沼气CO2含量为2.14%，H2S含量为0%。添加0.05;0, 1米;0,15 m NaOH分别产生1,57%，1,56%和2,98%的CO2。此外，添加0.05 M;0, 1米;0,15 m KOH的CO2产率分别为0.81%、0,30%和1.03%。燃烧热量最高的是0.15 m的NaOH量，为66,528 kcal，燃烧热量最低的是0.10 m KOH量，为38,976 kcal。
{"title":"THE ADDITION EFFECT OF (NaOH AND KOH) TO THE BIOGAS PURIFICATION","authors":"Yuninda Fahmayanti, Ahmad Abtokhi","doi":"10.18860/NEU.V10I2.4410","DOIUrl":"https://doi.org/10.18860/NEU.V10I2.4410","url":null,"abstract":"Biogas is a gas produced by the decomposition of organic materials involving microorganisms in the anaerobic state. The research focused on obtaining good quality biogas through NaOH and KOH purification by reducing H2S and CO2 levels. The purification of biogass proceeded in a variation of absorbent concentrations 0,05M, 0,1M, 0,15M NaOH and KOH solution. Gas chromatography chose for biogas characterization. Based on TCD detector in gas chromatography, it represented concentration area in percentage (%). The content of biogas for control was 2.14% CO2 and 0% H2S. The Addition of 0.05; 0,1M; 0,15M NaOH produced 1,57%, 1,56% and 2,98% CO2 respectively. Moreover, the addition of 0.05 M; 0,1M; 0,15M KOH yielded 0.81%, 0,30% and 1,03% CO2. The highest of the burning calories was the NaOH 0,15M amount of 66,528 kcal and the lowest of the burning calories was the 0,1M KOH amount of 38,976 kcal.","PeriodicalId":17685,"journal":{"name":"Jurnal Neutrino","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82793040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Taufiqurahman Taufiqurahman, A. A. Harnawan, I. Sugriwan
Electrical conductivity is one of the water quality parameters. The value of conductivity is an early indication of water pollution. Standard of the water conductivity value according to WHO should be less than 400 μS/cm. The prototype of the well-water conductivity sensor system consists of the power supply, temperature sensor circuit, conductivity sensor circuit, Arduino UNO microcontroller, 16x2 I2C LCD characters and the conversion equation. Therefore, It presents the conductivity value at various temperature and conductivity at 25oC by conversion equation. Furthermore, it measured the conductivity of water within 15.24 - 1031.60 μS/cm with error 0.39 – 21.48 μS/cm and the temperature of water within 20.10 – 50.20oC with error 0.13 – 0.72oC. The test of measurement from 11 sample points in the Pesayangan Martapura and Antasan Senor East Martapura, Banjar, South Kalimantan, Indonesia showed the conductivity of the well-water at the actual temperature was at the range of 128.50 – 364.51 μS/cm and the 161.97 – 364.51 μS/cm at 25oC.
{"title":"PROTOTYPE OF THE WELL WATER CONDUCTIVITY SENSOR SYSTEM BASED MICROCONTROLLER","authors":"Taufiqurahman Taufiqurahman, A. A. Harnawan, I. Sugriwan","doi":"10.18860/neu.v10i2.4895","DOIUrl":"https://doi.org/10.18860/neu.v10i2.4895","url":null,"abstract":"Electrical conductivity is one of the water quality parameters. The value of conductivity is an early indication of water pollution. Standard of the water conductivity value according to WHO should be less than 400 μS/cm. The prototype of the well-water conductivity sensor system consists of the power supply, temperature sensor circuit, conductivity sensor circuit, Arduino UNO microcontroller, 16x2 I2C LCD characters and the conversion equation. Therefore, It presents the conductivity value at various temperature and conductivity at 25oC by conversion equation. Furthermore, it measured the conductivity of water within 15.24 - 1031.60 μS/cm with error 0.39 – 21.48 μS/cm and the temperature of water within 20.10 – 50.20oC with error 0.13 – 0.72oC. The test of measurement from 11 sample points in the Pesayangan Martapura and Antasan Senor East Martapura, Banjar, South Kalimantan, Indonesia showed the conductivity of the well-water at the actual temperature was at the range of 128.50 – 364.51 μS/cm and the 161.97 – 364.51 μS/cm at 25oC.","PeriodicalId":17685,"journal":{"name":"Jurnal Neutrino","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84541913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Imam Tazi, M. Muthmainnah, S. Suyono, Avin Ainur, Fajrul Falah, Arum Sinda Santika
A chemometric-based electronic nose has designed for analyzing pork oil and olive oil using the odor pattern classifications. The electronic nose (e-nose) built from a combination of several chemical sensors derived from a semiconductor. The data retrieval was done by vaporizing the sample, then being captured by the sensor and identified by the electronic nose (e-nose). The output data from the electronic nose is the voltage released by each sensor. The analyzed samples were 100% olive oil, 100% pork oil and a combination of olive oil and pork oil with a ratio of 50%: 50%. The result of pattern classification using linear discriminant analysis (LDA) method shows that each sample is clustered well with the percentage of first discriminant function value is 87,9% and second discriminant function is 12,1%.
{"title":"CHEMOMETRIC-BASED ELECTRONIC NOSE APPLICATION TO PORK OIL AND OLIVE OIL USING THE ODOR PATTERN CLASSIFICATIONS","authors":"Imam Tazi, M. Muthmainnah, S. Suyono, Avin Ainur, Fajrul Falah, Arum Sinda Santika","doi":"10.18860/neu.v10i2.4951","DOIUrl":"https://doi.org/10.18860/neu.v10i2.4951","url":null,"abstract":"A chemometric-based electronic nose has designed for analyzing pork oil and olive oil using the odor pattern classifications. The electronic nose (e-nose) built from a combination of several chemical sensors derived from a semiconductor. The data retrieval was done by vaporizing the sample, then being captured by the sensor and identified by the electronic nose (e-nose). The output data from the electronic nose is the voltage released by each sensor. The analyzed samples were 100% olive oil, 100% pork oil and a combination of olive oil and pork oil with a ratio of 50%: 50%. The result of pattern classification using linear discriminant analysis (LDA) method shows that each sample is clustered well with the percentage of first discriminant function value is 87,9% and second discriminant function is 12,1%.","PeriodicalId":17685,"journal":{"name":"Jurnal Neutrino","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89939349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The research on making detection system of Cu contaminated water based on red diode laser and photodiode sensor has been done. The purpose of this research was to know the characteristic of photodiode sensor, to make and to test the detection system of Cu contaminated water based on red diode laser and photodiode sensor. This research was conducted in five phases: characterization of photodiode sensor, making data acquisition system, processing and analyzing of training sample data, making of the detection system, and implementation of detection system on test samples. The results of research showed that photodiode sensor used in this research has transfer function of V = 0,0156 * I + 1,1897 with relation of input-output was very strong (r = 0,989); sensitivity was 0,0156 volts / lux; repeatability was 98,31 %; and saturation for the light intensity >200 lux. Meanwhile, the success rate of detection system implementation on Cu contaminated water was 97,5 %.
研究了基于红光二极管激光器和光电二极管传感器的铜污染水检测系统。本研究的目的是了解光电二极管传感器的特性，制作并测试了基于红色二极管激光器和光电二极管传感器的铜污染水检测系统。本研究分五个阶段进行:光电二极管传感器的表征、数据采集系统的制作、训练样本数据的处理与分析、检测系统的制作、测试样本检测系统的实现。研究结果表明，本研究使用的光电二极管传感器的传递函数为V = 0,0156 * I + 1,1897，输入输出关系很强(r = 0,989);灵敏度为0.0156伏特/勒克斯;重复性为98.31%;饱和度为光强约200勒克斯。同时，系统对铜污染水体的检测成功率为97.5%。
{"title":"DESIGN OF DETECTION DEVICE FOR CU CONTAMINATED WATER USING RED DIODA LASER AND PHOTODIODA SENSOR","authors":"Frida A. Rakhmadi, Siti Rofikhoh","doi":"10.18860/NEU.V10I1.4317","DOIUrl":"https://doi.org/10.18860/NEU.V10I1.4317","url":null,"abstract":"The research on making detection system of Cu contaminated water based on red diode laser and photodiode sensor has been done. The purpose of this research was to know the characteristic of photodiode sensor, to make and to test the detection system of Cu contaminated water based on red diode laser and photodiode sensor. This research was conducted in five phases: characterization of photodiode sensor, making data acquisition system, processing and analyzing of training sample data, making of the detection system, and implementation of detection system on test samples. The results of research showed that photodiode sensor used in this research has transfer function of V = 0,0156 * I + 1,1897 with relation of input-output was very strong (r = 0,989); sensitivity was 0,0156 volts / lux; repeatability was 98,31 %; and saturation for the light intensity >200 lux. Meanwhile, the success rate of detection system implementation on Cu contaminated water was 97,5 %.","PeriodicalId":17685,"journal":{"name":"Jurnal Neutrino","volume":"3 1","pages":"10-13"},"PeriodicalIF":0.0,"publicationDate":"2018-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81354461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Corrigatum to : Ayu, H.D., Jufriadi,A., Pranata, K.B., Endarko, Muntini, M.S., Jurnal Nuetrino:Jurnal Fisika dan Aplikasinya. 2017 April: 9(2):52-59. (Doi: 10.18860/neu.v9i1.4138: Gambar 4,5,16 dan table 1 pada halaman 54 dan 59 kerang jelas desainya dan table tidak ada sitasi. Arratum: Ayu, H.D., Jufriadi,A., Pranata, K.B., Endarko, Muntini, M.S., Jurnal Nuetrino:Jurnal Fisika dan Aplikasinya. 2017 April: 9(2):52-59. (Doi: 10.18860/neu.v9i1.4138: Gambar 4, 5 dan 16 diperjelas dengan gambar desain seperti gambar dibawah ini. Table 1 ditambahkan sitasi di daftar pustaka
{"title":"CORRIGATUM TO : STRAIN GAUGE SENSOR OF MASS MEASUREMENT USING A BRASS CANTILEVER","authors":"Kusairi S.Si","doi":"10.18860/NEU.V10I1.4680","DOIUrl":"https://doi.org/10.18860/NEU.V10I1.4680","url":null,"abstract":"Corrigatum to : Ayu, H.D., Jufriadi,A., Pranata, K.B., Endarko, Muntini, M.S., Jurnal Nuetrino:Jurnal Fisika dan Aplikasinya. 2017 April: 9(2):52-59. (Doi: 10.18860/neu.v9i1.4138: Gambar 4,5,16 dan table 1 pada halaman 54 dan 59 kerang jelas desainya dan table tidak ada sitasi. Arratum: Ayu, H.D., Jufriadi,A., Pranata, K.B., Endarko, Muntini, M.S., Jurnal Nuetrino:Jurnal Fisika dan Aplikasinya. 2017 April: 9(2):52-59. (Doi: 10.18860/neu.v9i1.4138: Gambar 4, 5 dan 16 diperjelas dengan gambar desain seperti gambar dibawah ini. Table 1 ditambahkan sitasi di daftar pustaka","PeriodicalId":17685,"journal":{"name":"Jurnal Neutrino","volume":"43 1","pages":"28-29"},"PeriodicalIF":0.0,"publicationDate":"2018-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85328226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Extended Elastic Impedance (EEI) Analysis first introduced by Whitcombe (2002) was used for the predicting lithology review and fluid in a hydrocarbon reservoir. EEI is an application of an angle that is applied in a certain range until the zone of interest (ZoI) clarified. EEI is an interesting subject to observe and very useful to be applied on seismic attributes with its ability to predict lithology and fluid where acoustic impedance of sands and shale looks almost in the same pattern. Applying this method allows the result of the sand and shale anomalies to be seen in a different way. EEI has the ability to review the estimation of elastic parameters. In this research, It used multiple parameters which analyzed directly by using an original log from well that are a / ratio, pseudo gamma ray, pseudo NPHI, pseudo resistivity. The results of this study indicate that the use of angle optimization on EEI can interpret the intended zone of interest.
{"title":"CHARACTERIZATION OF RESERVOIR SANDSTONES USING LOG ANALYSIS TECHNICQUE EXTENDED ELASTIC IMPEDANCE IN FIELD X","authors":"Dhony Widyasandy, A. Susilo, F. Mu’in","doi":"10.18860/NEU.V10I1.4233","DOIUrl":"https://doi.org/10.18860/NEU.V10I1.4233","url":null,"abstract":"Extended Elastic Impedance (EEI) Analysis first introduced by Whitcombe (2002) was used for the predicting lithology review and fluid in a hydrocarbon reservoir. EEI is an application of an angle that is applied in a certain range until the zone of interest (ZoI) clarified. EEI is an interesting subject to observe and very useful to be applied on seismic attributes with its ability to predict lithology and fluid where acoustic impedance of sands and shale looks almost in the same pattern. Applying this method allows the result of the sand and shale anomalies to be seen in a different way. EEI has the ability to review the estimation of elastic parameters. In this research, It used multiple parameters which analyzed directly by using an original log from well that are a / ratio, pseudo gamma ray, pseudo NPHI, pseudo resistivity. The results of this study indicate that the use of angle optimization on EEI can interpret the intended zone of interest.","PeriodicalId":17685,"journal":{"name":"Jurnal Neutrino","volume":"43 2","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72624155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper aims to identifying the numerical method accuracy of the analytical solution of the damped oscillation equation motion. Adams method of 4th order, Milne method and Adams-Simpson method are used to find numerical solutions. Value of y(1) , y(2) , y(3) obtained from The 4th order Runge-Kutta method. They used as initial value of multistep method. Then, the numerical solution result was compared with analytical solution. From the research result, it is found that 4th order Adams method has the best accuracy.
{"title":"VARIATIONAL MUTI-STEPS METHOD TO SOLVE DAMPED OSCILLATION EQUATION","authors":"Riza Ibnu Adam, S. Susilawati, Adhi Rizal","doi":"10.18860/NEU.V10I1.4399","DOIUrl":"https://doi.org/10.18860/NEU.V10I1.4399","url":null,"abstract":"This paper aims to identifying the numerical method accuracy of the analytical solution of the damped oscillation equation motion. Adams method of 4th order, Milne method and Adams-Simpson method are used to find numerical solutions. Value of y(1) , y(2) , y(3) obtained from The 4th order Runge-Kutta method. They used as initial value of multistep method. Then, the numerical solution result was compared with analytical solution. From the research result, it is found that 4th order Adams method has the best accuracy.","PeriodicalId":17685,"journal":{"name":"Jurnal Neutrino","volume":"38 1","pages":"14-17"},"PeriodicalIF":0.0,"publicationDate":"2018-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73840565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Coal exposure founded at Klatak Kebo Ireng village in Besuki Tulungagung precisely in the vicinity of the river. Energy needs is increasing so the coal used for one of alternative energy source that can be used by society. This study was conducted to determine of the potential distribution coal modeling on geological structure. Identification of coal structure is using Ground Penetrating Radar (GPR) 2005 it conducted because this method is more suitable for shallow of surveys. The location for taking data is around the river that showed to exposure. There are 5 th lines of taken data with length about 50 until 100 meters. Data processing was done using of software Future series 2005. The data displayed with software in the color pattern to obtain based on the constant of dielectric and conductivity. The results of interpretation study are the data indicates that there is a coal on the overall trajectory. Only in 2 nd track contain little of coal. The Coal layers are appear in processing the results of data is thickness about 6 at the top. In the area of study also found the cavity (cavity area) which contained of several tracks. On the bottom of the track there is a pattern of coal reddish of yellow color which indicates that material contains of minerals.
在贝苏基图伦加贡的Klatak Kebo Ireng村发现的煤炭暴露正是在河流附近。能源需求正在增加，因此煤炭被用作社会可使用的替代能源之一。本研究是为了确定地质构造上煤的潜在分布。煤体构造识别采用探地雷达(GPR) 2005进行，因为该方法更适合于浅层测量。采集数据的地点在暴露的河流周围。采集的数据有5行，长度在50到100米之间。数据处理采用Future series 2005软件。用软件显示的数据以彩色图案为基础，得到介电常数和电导率常数。解释研究的结果是，数据表明总体轨迹上有煤。只有在第二轨道含有少量的煤。数据处理结果显示，煤层顶部厚度约为6。在研究区还发现了空腔(空腔区)，其中包含了几条痕迹。在轨道的底部有一种煤的红色和黄色的图案，这表明材料含有矿物质。
{"title":"INTERPRETATION OF COAL POTENTION USING GROUND PENETRATING RADAR (GPR) METHOD","authors":"Rohmatul Wahidah, A. Basid","doi":"10.18860/NEU.V10I1.4563","DOIUrl":"https://doi.org/10.18860/NEU.V10I1.4563","url":null,"abstract":"Coal exposure founded at Klatak Kebo Ireng village in Besuki Tulungagung precisely in the vicinity of the river. Energy needs is increasing so the coal used for one of alternative energy source that can be used by society. This study was conducted to determine of the potential distribution coal modeling on geological structure. Identification of coal structure is using Ground Penetrating Radar (GPR) 2005 it conducted because this method is more suitable for shallow of surveys. The location for taking data is around the river that showed to exposure. There are 5 th lines of taken data with length about 50 until 100 meters. Data processing was done using of software Future series 2005. The data displayed with software in the color pattern to obtain based on the constant of dielectric and conductivity. The results of interpretation study are the data indicates that there is a coal on the overall trajectory. Only in 2 nd track contain little of coal. The Coal layers are appear in processing the results of data is thickness about 6 at the top. In the area of study also found the cavity (cavity area) which contained of several tracks. On the bottom of the track there is a pattern of coal reddish of yellow color which indicates that material contains of minerals.","PeriodicalId":17685,"journal":{"name":"Jurnal Neutrino","volume":"51 1","pages":"23-27"},"PeriodicalIF":0.0,"publicationDate":"2018-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85668821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. D. Ayu, A. Jufriadi, K. B. Pranata, E. Endarko, M. S. Muntini
A study of mass measurement using strain gauge 120 which was placed in the corner of the brass cantilever has been done. This study essentially utilizes deflection phenomena on the surface. This phenomenon occurs due to the mass placed on one end of the brass cantilever. The Mass was calibrated with standard mass gauge using OHAUS PA214 Pioneer TM analytical balance. It was done a variation of mass-reduction and addition at the end of the brass cantilever with a multiple of 0.1 gram over a span interval of 1.1-7.5 grams. It obtained hysteresis curve plot for the changing strain gauge resistance (ΔR) versus mass variations on which the system has the maximum load range (7,1-7,5 gram). Moreover, The test of the system for the mass variations in the output voltage of the IC AD521JD differential amplifier was approximated as a quadratic function which was expressed in the system characteristic equation m = 2,4×V 2 - 0,8533×V + 1,1449, with m (gram) and V (Volt). The characteristic equation is used in the ADC conversion of the microcontroller. The measured mass value was displayed on 2 × 16 LCDs in grams.
{"title":"Strain Gauge Sensor of Mass Measurement Using a Brass Cantilever","authors":"H. D. Ayu, A. Jufriadi, K. B. Pranata, E. Endarko, M. S. Muntini","doi":"10.18860/neu.v9i2.4138","DOIUrl":"https://doi.org/10.18860/neu.v9i2.4138","url":null,"abstract":"A study of mass measurement using strain gauge 120 which was placed in the corner of the brass cantilever has been done. This study essentially utilizes deflection phenomena on the surface. This phenomenon occurs due to the mass placed on one end of the brass cantilever. The Mass was calibrated with standard mass gauge using OHAUS PA214 Pioneer TM analytical balance. It was done a variation of mass-reduction and addition at the end of the brass cantilever with a multiple of 0.1 gram over a span interval of 1.1-7.5 grams. It obtained hysteresis curve plot for the changing strain gauge resistance (ΔR) versus mass variations on which the system has the maximum load range (7,1-7,5 gram). Moreover, The test of the system for the mass variations in the output voltage of the IC AD521JD differential amplifier was approximated as a quadratic function which was expressed in the system characteristic equation m = 2,4×V 2 - 0,8533×V + 1,1449, with m (gram) and V (Volt). The characteristic equation is used in the ADC conversion of the microcontroller. The measured mass value was displayed on 2 × 16 LCDs in grams.","PeriodicalId":17685,"journal":{"name":"Jurnal Neutrino","volume":"35 1","pages":"52-59"},"PeriodicalIF":0.0,"publicationDate":"2017-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89003732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CSAMT or Controlled Source Audio-Magnetotelluric is one of the Geophysics methods to determine the resistivity of rock under earth surface. CSAMT method utilizes artificial stream and injected into the ground, the frequency of artificial sources ranging from 0.1 Hz to 10 kHz, CSAMT data source effect correction is inverted. From the inversion results showed that there is a layer having resistivity values ranged between 2.5 Ω.m – 15 Ω.m, which is interpreted that the layer is clay.
{"title":"APPLICATION OF CONTROLLED SOURCE AUDIO MAGNETOTELLURIC (CSAMT) AT GEOTHERMAL","authors":"S. Susilawati, E. Mustopa","doi":"10.18860/neu.v9i2.4131","DOIUrl":"https://doi.org/10.18860/neu.v9i2.4131","url":null,"abstract":"CSAMT or Controlled Source Audio-Magnetotelluric is one of the Geophysics methods to determine the resistivity of rock under earth surface. CSAMT method utilizes artificial stream and injected into the ground, the frequency of artificial sources ranging from 0.1 Hz to 10 kHz, CSAMT data source effect correction is inverted. From the inversion results showed that there is a layer having resistivity values ranged between 2.5 Ω.m – 15 Ω.m, which is interpreted that the layer is clay.","PeriodicalId":17685,"journal":{"name":"Jurnal Neutrino","volume":"26 1","pages":"39-43"},"PeriodicalIF":0.0,"publicationDate":"2017-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86642781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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