Faradilla Nabila Putri, P. Manurung, S. W. Suciyati, Pulung Karo Karo
Research on the production of nanocellulose from kepok banana peel waste has been carried out using the Acid Hydrolysis method with H2SO4 Sulfuric Acid. This study aims to determine the effect of giving H2SO4 on kepok banana peels and the crystal structure and surface morphology of nanocellulose on kepok banana peels. The production of nanocellulose was carried out in three stages: delignification using 10% NaOH, bleaching using 10% H2O2, and isolation of nanocellulose using H2SO4 with various concentrations of 5, 10, 15, and 20%. This research uses X-Ray Diffraction (XRD) and Scanning Electron Microscopy (SEM) as its characterization. The resulting crystallite size ranges from 3.58 to 4.15 nm, producing a lump-like morphological structure.
{"title":"Production of Nanocellulose from Kepok Banana Peel Waste Using Acid Hydrolysis Method","authors":"Faradilla Nabila Putri, P. Manurung, S. W. Suciyati, Pulung Karo Karo","doi":"10.23960/jemit.v4i3.174","DOIUrl":"https://doi.org/10.23960/jemit.v4i3.174","url":null,"abstract":"Research on the production of nanocellulose from kepok banana peel waste has been carried out using the Acid Hydrolysis method with H2SO4 Sulfuric Acid. This study aims to determine the effect of giving H2SO4 on kepok banana peels and the crystal structure and surface morphology of nanocellulose on kepok banana peels. The production of nanocellulose was carried out in three stages: delignification using 10% NaOH, bleaching using 10% H2O2, and isolation of nanocellulose using H2SO4 with various concentrations of 5, 10, 15, and 20%. This research uses X-Ray Diffraction (XRD) and Scanning Electron Microscopy (SEM) as its characterization. The resulting crystallite size ranges from 3.58 to 4.15 nm, producing a lump-like morphological structure.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84514584","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}
Dina Mauliyani Qoriah, A. Surtono, G. A. Pauzi, S. W. Suciyati
It has been realized that the measurement of the Thai type of cassava starch uses a semi-cylindrical capacitor has been done. This measurement is carried out by providing an input signal to the semi-cylindrical capacitor plate using the IC XR-2206 oscillator with a frequency of 100 kHz. The output signal from the capacitor is in the form of an AC voltage which is then forwarded to the full wave rectifier circuit. The output voltage of the rectifier is a DC voltage, and the results are displayed using a DSO oscilloscope. Cassava starch content was measured by the specific gravity method, and the stress was measured using a semi-cylindrical capacitor. In measuring the starch content, the starch content was 19.12 - 28.76% (range 9.64%) and gave an output voltage of 7.53 - 7.89 V (range 0.36 V). Using the linear regression method, the characteristic equation V = 0.035 KP + 6.871, and the correlation value was equals to 0.985.
{"title":"Utilization Semi Cylindrical Capacitor for Measuring Starch Content Thai Type Cassava","authors":"Dina Mauliyani Qoriah, A. Surtono, G. A. Pauzi, S. W. Suciyati","doi":"10.23960/jemit.v4i2.38","DOIUrl":"https://doi.org/10.23960/jemit.v4i2.38","url":null,"abstract":"It has been realized that the measurement of the Thai type of cassava starch uses a semi-cylindrical capacitor has been done. This measurement is carried out by providing an input signal to the semi-cylindrical capacitor plate using the IC XR-2206 oscillator with a frequency of 100 kHz. The output signal from the capacitor is in the form of an AC voltage which is then forwarded to the full wave rectifier circuit. The output voltage of the rectifier is a DC voltage, and the results are displayed using a DSO oscilloscope. Cassava starch content was measured by the specific gravity method, and the stress was measured using a semi-cylindrical capacitor. In measuring the starch content, the starch content was 19.12 - 28.76% (range 9.64%) and gave an output voltage of 7.53 - 7.89 V (range 0.36 V). Using the linear regression method, the characteristic equation V = 0.035 KP + 6.871, and the correlation value was equals to 0.985.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90587001","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}
Elsa Mega Puspitaratu, S. Suprihatin, Pulung Karo Karo, E. G. Suka
It has been done a variation of CaCO 3, which is 0.95; 1.00; 1.05; and 1,10, through phase formation of BSCCO-2212 superconductor using a wet-mixing method. Samples were dissolved with HNO 3 and distilled by water slowly until the color was clean blue, then gradually dried out at temperatures of 300, 400, and 600 °C. The samples were calcined for 10 hours at 800°C and sintered at 820°C for 20 hours. The XRD's characterization results show that the highest volume fraction was 76.65% in the Ca 1.05 sample. The lowest volume fraction was 49.85% in the Ca 1.10 sample. Meanwhile, the highest degree of orientation was 44.27% in the Ca 1.00 sample, and the lowest degree of orientation was 8.58% in the Ca 1.10 sample. SEM's characterization shows that all samples have been oriented and relatively little space between slabs (voids).
{"title":"Effect of CaCO3 Levels on Formation Phase Material BSCCO-2212 superconductor with Method Mixing Wet","authors":"Elsa Mega Puspitaratu, S. Suprihatin, Pulung Karo Karo, E. G. Suka","doi":"10.23960/jemit.v4i2.47","DOIUrl":"https://doi.org/10.23960/jemit.v4i2.47","url":null,"abstract":"It has been done a variation of CaCO 3, which is 0.95; 1.00; 1.05; and 1,10, through phase formation of BSCCO-2212 superconductor using a wet-mixing method. Samples were dissolved with HNO 3 and distilled by water slowly until the color was clean blue, then gradually dried out at temperatures of 300, 400, and 600 °C. The samples were calcined for 10 hours at 800°C and sintered at 820°C for 20 hours. The XRD's characterization results show that the highest volume fraction was 76.65% in the Ca 1.05 sample. The lowest volume fraction was 49.85% in the Ca 1.10 sample. Meanwhile, the highest degree of orientation was 44.27% in the Ca 1.00 sample, and the lowest degree of orientation was 8.58% in the Ca 1.10 sample. SEM's characterization shows that all samples have been oriented and relatively little space between slabs (voids).","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87813554","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 design of the kWh meter token activator using the SG90 Servo Motor based on the Arduino Uno microcontroller has been studied. The tools and materials used are the SG90 Servo Motor, PCA9685 Servo Motor Driver, Arduino Uno, 5V 1 A Adapter, pressure wire, and additional supporting tools. When pushing the kWh meter keypad, a servo motor at a 90° angle causes the wire to travel ideally perpendicularly. When the token value is entered into the interface, Arduino Uno executes the token value and tells the PCA9685 Servo Motor Driver to operate eleven SG90 Servo Motors to drive the push wire for the kWh meter keypad. The precision of the token number on the kWh meter and the display of the word "true" on the LCD kWh meter demonstrate the tool's effectiveness. The kWh meter Token Activator Tool successfully activated five new kWh meter Tokens with 100% correctness in terms of numbers, and each token took 44 seconds to activate. They are making an error and wasting time activating the kWh meter token.
{"title":"Activator Token KWh Meter Using Servo Motor SG90 Based on Arduino Uno Microcontroller","authors":"Mirda Khamidah","doi":"10.23960/jemit.v4i2.179","DOIUrl":"https://doi.org/10.23960/jemit.v4i2.179","url":null,"abstract":"The design of the kWh meter token activator using the SG90 Servo Motor based on the Arduino Uno microcontroller has been studied. The tools and materials used are the SG90 Servo Motor, PCA9685 Servo Motor Driver, Arduino Uno, 5V 1 A Adapter, pressure wire, and additional supporting tools. When pushing the kWh meter keypad, a servo motor at a 90° angle causes the wire to travel ideally perpendicularly. When the token value is entered into the interface, Arduino Uno executes the token value and tells the PCA9685 Servo Motor Driver to operate eleven SG90 Servo Motors to drive the push wire for the kWh meter keypad. The precision of the token number on the kWh meter and the display of the word \"true\" on the LCD kWh meter demonstrate the tool's effectiveness. The kWh meter Token Activator Tool successfully activated five new kWh meter Tokens with 100% correctness in terms of numbers, and each token took 44 seconds to activate. They are making an error and wasting time activating the kWh meter token.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80222434","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}
Research on the manufacture of devices for monitoring battery voltage and current parameters has been carried out and developed using different types of sensors. This research have been released a device that can monitor battery voltage and current parameters in real time in the charge and discharge process using one sensor. The device is made using a microcontroller in the form of an Arduino Mega XPro 2560 R3, with an input in the form of an INA219 GY-219 sensor to monitor battery voltage and current. The output of device is in the form of automatic control of the charge and discharge circuit through the LCD and relay to obtain data from monitoring the battery voltage and current parameters. The batteries used as materials to be tested in this study are rechargeable Li-ion types. The device can monitor the voltage and current parameters of the battery as it should and can work automatically according to the control program created and designed by the manufacturer. Based on the test results of the INA219 GY-219 sensor in reading the voltage, the average sensor accuracy level is 99.96%, the sensor error average rate is 0.034%, and the sensor precision average is 99.97%. Meanwhile, in the reading current, the average sensor accuracy level is 98.39%, the sensor error average rate is 1.608%, and the sensor precision average is 98.98%.
利用不同类型的传感器对电池电压和电流参数监测装置的制造进行了研究和开发。本研究发布了一种利用一个传感器实时监测电池充放电过程中的电压和电流参数的装置。该设备使用Arduino Mega XPro 2560 R3形式的微控制器制成，其输入形式为INA219 GY-219传感器，用于监测电池电压和电流。该装置的输出以自动控制充放电电路的形式通过LCD和继电器来获取监测电池电压和电流参数的数据。本研究中所测试的材料为可充电锂离子电池。该装置能对电池的电压、电流参数进行应有的监测，并能根据生产厂家创建设计的控制程序自动工作。根据INA219 GY-219传感器在读取电压时的测试结果，传感器平均精度水平为99.96%，传感器平均误差率为0.034%，传感器平均精度为99.97%。同时，在读取电流中，传感器平均精度水平为98.39%，传感器平均误差率为1.608%，传感器平均精度为98.98%。
{"title":"Design and Build Voltage and Current Monitoring Parameters Device of Rechargeable Batteries in Real-Time Using the INA219 GY-219 Sensor","authors":"Bayu Jiah Setiawan","doi":"10.23960/jemit.v4i2.137","DOIUrl":"https://doi.org/10.23960/jemit.v4i2.137","url":null,"abstract":"Research on the manufacture of devices for monitoring battery voltage and current parameters has been carried out and developed using different types of sensors. This research have been released a device that can monitor battery voltage and current parameters in real time in the charge and discharge process using one sensor. The device is made using a microcontroller in the form of an Arduino Mega XPro 2560 R3, with an input in the form of an INA219 GY-219 sensor to monitor battery voltage and current. The output of device is in the form of automatic control of the charge and discharge circuit through the LCD and relay to obtain data from monitoring the battery voltage and current parameters. The batteries used as materials to be tested in this study are rechargeable Li-ion types. The device can monitor the voltage and current parameters of the battery as it should and can work automatically according to the control program created and designed by the manufacturer. Based on the test results of the INA219 GY-219 sensor in reading the voltage, the average sensor accuracy level is 99.96%, the sensor error average rate is 0.034%, and the sensor precision average is 99.97%. Meanwhile, in the reading current, the average sensor accuracy level is 98.39%, the sensor error average rate is 1.608%, and the sensor precision average is 98.98%.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86699137","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}
Styrofoam has many negative impacts because it harms health, pollutes the environment, and cannot decompose in nature. Efforts have been made to develop biofoam derived from natural kinds of stuff to reduce the harmful effects of styrofoam. So that they are safer and do not pollute the environment. Biofoam in this study was made from tapioca starch, corncob fiber, a binding polymer in the form of Polyvinyl Alcohol (PVA), and a superhydrophobic agent in the form of silica aerogel. This research was conducted to determine the effect of variations in the composition of corncob fiber on the physical properties of biofoam with the addition of silica aerogel. The production of corncob fiber was carried out in two stages, namely using 10% NaOH to remove lignin and bleaching using 10% H2O2 to bleach the fibers, which were then combined into the biofoam mixture. The production of biofoam used the thermopressing method with a temperature of 150° and pressed for 4 minutes with fiber variations of 13.75g, 16.25g, 18.75g, and 21.25g. Add conclusion of the research is 18.75 g of fiber with a water absorption value of (1.2 ± 0.2)%, a density of (0.5 ± 0.1)g/cm3, and a compressive strength of 3.60 MPa.
{"title":"The Effect of Variation of Corn Comb Fiber Composition on The Physical Properties of Biofoam with The Addition of Aerogel Silica","authors":"Tiara Widiastuti","doi":"10.23960/jemit.v4i2.198","DOIUrl":"https://doi.org/10.23960/jemit.v4i2.198","url":null,"abstract":"Styrofoam has many negative impacts because it harms health, pollutes the environment, and cannot decompose in nature. Efforts have been made to develop biofoam derived from natural kinds of stuff to reduce the harmful effects of styrofoam. So that they are safer and do not pollute the environment. Biofoam in this study was made from tapioca starch, corncob fiber, a binding polymer in the form of Polyvinyl Alcohol (PVA), and a superhydrophobic agent in the form of silica aerogel. This research was conducted to determine the effect of variations in the composition of corncob fiber on the physical properties of biofoam with the addition of silica aerogel. The production of corncob fiber was carried out in two stages, namely using 10% NaOH to remove lignin and bleaching using 10% H2O2 to bleach the fibers, which were then combined into the biofoam mixture. The production of biofoam used the thermopressing method with a temperature of 150° and pressed for 4 minutes with fiber variations of 13.75g, 16.25g, 18.75g, and 21.25g. Add conclusion of the research is 18.75 g of fiber with a water absorption value of (1.2 ± 0.2)%, a density of (0.5 ± 0.1)g/cm3, and a compressive strength of 3.60 MPa.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73719842","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}
Ahmad Saiful Munir, Y. Yulianti, S. Suprihatin, Pulung Karo Karo
{"title":"Burn-Up Analysis of Plutonium and Minor Actinide Recycling on Gas Cooled Fast Reactor (GCFR) Using SRAC COREBN","authors":"Ahmad Saiful Munir, Y. Yulianti, S. Suprihatin, Pulung Karo Karo","doi":"10.23960/jemit.v4i1.181","DOIUrl":"https://doi.org/10.23960/jemit.v4i1.181","url":null,"abstract":"","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82273814","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}
{"title":"Effect of Concentration Variation of Cacao Leaf Extract (Theobroma cacao.) Inhibitor on the Corrosion Rate of ST 37 Steel in 3% HCl Solution","authors":"Syafriadi Syafriadi, Risca Adriana, Agus Riyanto","doi":"10.23960/jemit.v4i1.35","DOIUrl":"https://doi.org/10.23960/jemit.v4i1.35","url":null,"abstract":"","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88951430","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}
Pulung Karo Karo, Rio Orlando Pratama, R. Marjunus
{"title":"The Effect of Adding Corn Cob Ash to The Physical and Mechanical Properties of Mortar","authors":"Pulung Karo Karo, Rio Orlando Pratama, R. Marjunus","doi":"10.23960/jemit.v4i1.142","DOIUrl":"https://doi.org/10.23960/jemit.v4i1.142","url":null,"abstract":"","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74221051","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}
{"title":"Earthquake Risk Area Mapping Based on Probabilistic Seismic Hazard Analysis (PSHA) Method and Microtremor Data in Nias Island","authors":"Mitranikasih Laia","doi":"10.23960/jemit.v4i1.200","DOIUrl":"https://doi.org/10.23960/jemit.v4i1.200","url":null,"abstract":"","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84977455","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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