Gurum Ahmad Pauzi, Syaifullah Anwar, Amir Supriyanto, Sri Wahyu Suciyati
Penelitian ini dilakukan untuk menganalisis pengaruh variasi konsentrasi campuran jembatan garam terhadap karakteristik elektrik 5 buah sel galvanis seri menggunakan elektroda Cu(Ag)-Zn dengan beban 20 LED. Variasi konsentrasi campuran jembatan garam menggunakan alumina 0,1 dan 1 mol, kalsium karbonat 0,1 dan 1 mol pada semen dengan menggunakan air laut sebagai pelarut. Monitoring tegangan dan arus pada sel galvanis menggunakan sensor INA219 sedangkan monitoring intensitas cahaya menggunakan sensor BH1750 secara real-time. Hasil penelitian menunjukkan bahwa semakin besar konsentrasi alumina pada jembatan garam akan semakin besar nilai tegangan yang dihasilkan. Nilai hambatan dalam sel galvanis akan semakin kecil apabila konsentrasi jembatan garam kalsium karbonat memiliki nilai kecil.
{"title":"Analisis Jembatan Garam Campuran Alumina dan Kalsium Karbonat pada Karakteristik Elektrik Pembangkit Listrik Sel Galvanis dengan Elektrolit Air Laut","authors":"Gurum Ahmad Pauzi, Syaifullah Anwar, Amir Supriyanto, Sri Wahyu Suciyati","doi":"10.23960/jemit.v2i4.75","DOIUrl":"https://doi.org/10.23960/jemit.v2i4.75","url":null,"abstract":"Penelitian ini dilakukan untuk menganalisis pengaruh variasi konsentrasi campuran jembatan garam terhadap karakteristik elektrik 5 buah sel galvanis seri menggunakan elektroda Cu(Ag)-Zn dengan beban 20 LED. Variasi konsentrasi campuran jembatan garam menggunakan alumina 0,1 dan 1 mol, kalsium karbonat 0,1 dan 1 mol pada semen dengan menggunakan air laut sebagai pelarut. Monitoring tegangan dan arus pada sel galvanis menggunakan sensor INA219 sedangkan monitoring intensitas cahaya menggunakan sensor BH1750 secara real-time. Hasil penelitian menunjukkan bahwa semakin besar konsentrasi alumina pada jembatan garam akan semakin besar nilai tegangan yang dihasilkan. Nilai hambatan dalam sel galvanis akan semakin kecil apabila konsentrasi jembatan garam kalsium karbonat memiliki nilai kecil.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82082060","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}
Diana Margarini, Sri Wahyu Suciyati, Arif Surtono, Gurum Ahmad Pauzi
Research on laboratory room security system has begun to be developed with various kinds of inputs used. In this study, the design of a laboratory room security prototype with automatic doors has been realized using the MLX90614 temperature sensor based on Arduino Atmega 2560. The design of this prototype aims to design a prototype laboratoey room with automatic doors using a door lock solenoid and a temperature sensor MLX90614. In addition, this system is equipped with a counter to reduce and add people in the room using the FC-51 infrared sensor. Data retrieval is done by detecting human temperature before entering the room, when the temperature input is met, the door of the room will open with a maximum limit of 10 people. The results showed that the system was functioning properly, indicated by the state of the door that could open when it received an input of temperature between 35-37°C, the door remained closed when detecting of temperature other than 35-37°, and the door remained closed when the object in the room was up to 10 people.
{"title":"Rancang Bangun Prototipe Keamanan Ruang Laboratorium dengan Pintu Otomatis Menggunakan Sensor Suhu MLX90614 Berbasis Arduino Atmega 2560","authors":"Diana Margarini, Sri Wahyu Suciyati, Arif Surtono, Gurum Ahmad Pauzi","doi":"10.23960/jemit.v2i4.76","DOIUrl":"https://doi.org/10.23960/jemit.v2i4.76","url":null,"abstract":"Research on laboratory room security system has begun to be developed with various kinds of inputs used. In this study, the design of a laboratory room security prototype with automatic doors has been realized using the MLX90614 temperature sensor based on Arduino Atmega 2560. The design of this prototype aims to design a prototype laboratoey room with automatic doors using a door lock solenoid and a temperature sensor MLX90614. In addition, this system is equipped with a counter to reduce and add people in the room using the FC-51 infrared sensor. Data retrieval is done by detecting human temperature before entering the room, when the temperature input is met, the door of the room will open with a maximum limit of 10 people. The results showed that the system was functioning properly, indicated by the state of the door that could open when it received an input of temperature between 35-37°C, the door remained closed when detecting of temperature other than 35-37°, and the door remained closed when the object in the room was up to 10 people.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79942748","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 has been carried out on the synthesis of nanotitania by hydrothermal as a function of temperature. The purpose of this study was to determine the effect of temperature on the phase formation, structure and particle size of TiO2 using the hydrothermal method with TiOSO4 as the main ingredient. In this study, using temperature variations of 150, 200, 250 and 300°C and samples were characterized using X-Ray Diffraction (XRD) and Scanning Electron Microscopy (SEM). The phases formed are the anatase and rutile phases which have a tetragonal structure and the hilly phase with an orthorhombic structure. The rutile phase appeared predominantly in each sample and the sulfuric phase only appeared at 250ºC. The anatase phase obtains a particle size of 10-18 nm, where the higher the temperature, the bigger the particle size. Furthermore, the rutile phase obtained a particle size of 14-25 nm, where the higher the temperature, the smaller the particle size.
{"title":"Sintesis Nanotitania dengan Cara Hidrotermal sebagai Fungsi Suhu","authors":"S. Sumiyati, Posman Manurung, S. Suprihatin","doi":"10.23960/jemit.v2i4.152","DOIUrl":"https://doi.org/10.23960/jemit.v2i4.152","url":null,"abstract":"Research has been carried out on the synthesis of nanotitania by hydrothermal as a function of temperature. The purpose of this study was to determine the effect of temperature on the phase formation, structure and particle size of TiO2 using the hydrothermal method with TiOSO4 as the main ingredient. In this study, using temperature variations of 150, 200, 250 and 300°C and samples were characterized using X-Ray Diffraction (XRD) and Scanning Electron Microscopy (SEM). The phases formed are the anatase and rutile phases which have a tetragonal structure and the hilly phase with an orthorhombic structure. The rutile phase appeared predominantly in each sample and the sulfuric phase only appeared at 250ºC. The anatase phase obtains a particle size of 10-18 nm, where the higher the temperature, the bigger the particle size. Furthermore, the rutile phase obtained a particle size of 14-25 nm, where the higher the temperature, the smaller the particle size.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77710404","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}
Synthesis and characterization of rice husk and asphalt silica composites was carried out with a ratio of 85%: 15%. Silica synthesis from rice husk was carried out by the sol-gel method. The materials used in this study were rice husks, asphalt, distilled water, gasoline, NaOH and HNO3. Then the silica and asphalt according to the comparison is set at 110oC. This study aims to look at the structural characteristics, functionality and physical properties, namely water content and thickness development of the sample. Based on the research that has been done, it can be concluded that from the results of XRD characterization the samples have silica and amorphous carbon structures, then based on FTIR characterization shows the -OH (hydroxil) functional groups occur at wave number 3524 cm-1, the hydroxide metal Si-OH (silanol) is oxidized into Si - O - Si and Si - O are formed at wave numbers 1084 cm-1, 810 cm-1 and 462 cm-1 and the formation of the C-H and C=O function group occurs at wave numbers 2923 cm-1 and 2361 cm-1. Then test the physical properties of the water content of 7.642% with a change in thickness development of 4.783%.
{"title":"Karakteristik Struktur Dan Fungsional Aspal Komposit dengan Perbandingan 85%:15%","authors":"Samuel Nugroho Putra, Simon Sembiring, A. Riyanto","doi":"10.23960/jemit.v2i4.149","DOIUrl":"https://doi.org/10.23960/jemit.v2i4.149","url":null,"abstract":"Synthesis and characterization of rice husk and asphalt silica composites was carried out with a ratio of 85%: 15%. Silica synthesis from rice husk was carried out by the sol-gel method. The materials used in this study were rice husks, asphalt, distilled water, gasoline, NaOH and HNO3. Then the silica and asphalt according to the comparison is set at 110oC. This study aims to look at the structural characteristics, functionality and physical properties, namely water content and thickness development of the sample. Based on the research that has been done, it can be concluded that from the results of XRD characterization the samples have silica and amorphous carbon structures, then based on FTIR characterization shows the -OH (hydroxil) functional groups occur at wave number 3524 cm-1, the hydroxide metal Si-OH (silanol) is oxidized into Si - O - Si and Si - O are formed at wave numbers 1084 cm-1, 810 cm-1 and 462 cm-1 and the formation of the C-H and C=O function group occurs at wave numbers 2923 cm-1 and 2361 cm-1. Then test the physical properties of the water content of 7.642% with a change in thickness development of 4.783%.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83734492","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, Risky Putra Ramadhan, S. Suprihatin, Yanti Yulianti
The research was conducted to determine the effect of sintering temperature on the level of purity of the superconducting phase BSCCO-2212 and BPSCCO-2212 using the wet mixing method. Sintering was carried out for 20 hours with variations in sintering temperature: 825, 830, 835 and 840°C. XRD results showed that the phase purity level increased until it reached the optimum point at 835°C sintering temperature and then decreased at 840°C. The highest volume fraction of the BSCCO-2212 sample was obtained at a sintering temperature of 835°C at 71.09% and the highest degree of orientation was obtained at a sintering temperature of 830°C at 26.44%. In the BPSCCO-2212 sample, the highest volume fraction was obtained at a sintering temperature of 835°C at 52.59% and the highest degree of orientation at a sintering temperature of 830°C at 43.49%. The results of the comparison of BSCCO-2212 and BPSCCO-2212 samples showed that the BPSCCO-2212 sample had a higher level of phase purity than BSCCO-2212.
{"title":"Analisis Pertumbuhan Fase Superkonduktor BSCCO-2212 dan BPSCCO-2212 Akibat Variasi Suhu Sintering Menggunakan Metode Pencampuran Basah","authors":"Pulung Karo Karo, Risky Putra Ramadhan, S. Suprihatin, Yanti Yulianti","doi":"10.23960/jemit.v2i4.77","DOIUrl":"https://doi.org/10.23960/jemit.v2i4.77","url":null,"abstract":"The research was conducted to determine the effect of sintering temperature on the level of purity of the superconducting phase BSCCO-2212 and BPSCCO-2212 using the wet mixing method. Sintering was carried out for 20 hours with variations in sintering temperature: 825, 830, 835 and 840°C. XRD results showed that the phase purity level increased until it reached the optimum point at 835°C sintering temperature and then decreased at 840°C. The highest volume fraction of the BSCCO-2212 sample was obtained at a sintering temperature of 835°C at 71.09% and the highest degree of orientation was obtained at a sintering temperature of 830°C at 26.44%. In the BPSCCO-2212 sample, the highest volume fraction was obtained at a sintering temperature of 835°C at 52.59% and the highest degree of orientation at a sintering temperature of 830°C at 43.49%. The results of the comparison of BSCCO-2212 and BPSCCO-2212 samples showed that the BPSCCO-2212 sample had a higher level of phase purity than BSCCO-2212.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82999285","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}
Hydrothermal methods have been developed for the manufacture of ZnO. This study aims to find out the effects of variation on the chemical composition and structure of nanoZnO, the nanoZnO phase formed and the nanoZnO particle size formed. The NaOH variation used is 1; 2; 3; and 4 grams. The characteristics used are X-Ray Diffactions (XRD) and Scanning Electron Microscopy (SEM). The XRD characterization results show that the diffraction peaks correspond to standard databases and show wurtzite phases with hexagon structures. The results of SEM characterization showed that the mean measurement of ZnO particles and the error value in the 1 gram variation was 67 ± 3 nm, while the 3 gram variation was 76 ± 6 nm.
{"title":"Efek NaOH pada Pembentukan Nano ZnO Metode Hidrotermal","authors":"Rahmawani Fauza, Posman Manurung, Yanti Yulianti","doi":"10.23960/jemit.v2i3.146","DOIUrl":"https://doi.org/10.23960/jemit.v2i3.146","url":null,"abstract":"Hydrothermal methods have been developed for the manufacture of ZnO. This study aims to find out the effects of variation on the chemical composition and structure of nanoZnO, the nanoZnO phase formed and the nanoZnO particle size formed. The NaOH variation used is 1; 2; 3; and 4 grams. The characteristics used are X-Ray Diffactions (XRD) and Scanning Electron Microscopy (SEM). The XRD characterization results show that the diffraction peaks correspond to standard databases and show wurtzite phases with hexagon structures. The results of SEM characterization showed that the mean measurement of ZnO particles and the error value in the 1 gram variation was 67 ± 3 nm, while the 3 gram variation was 76 ± 6 nm.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76447845","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 application of the design an Arduino Uno-based automatic transformer wire winding machine has been carried out. The research aim was to make an automatic winding machine using wire coils that can be adjusted for rotation speed and high accuracy of the number of turns. In testing system, the enamel wire was wrapped around with a different number of turns, that is 200;400;600;800;1000 turns. The calibration method in this study was carried out manually, that is recounting the turns on the koker that had been wrapped using an automatic winding machine. The speed of the winding machine is calibrated using a tachometer. The results of the calculation of the average rolling accuracy of 99,73%.
{"title":"Rancang Bangun Mesin Penggulung Lilitan Kawat Transformator Otomatis Berbasis Arduino Uno","authors":"Denny Irfan, J. Junaidi, Arif Surtono","doi":"10.23960/jemit.v2i3.63","DOIUrl":"https://doi.org/10.23960/jemit.v2i3.63","url":null,"abstract":"Research on application of the design an Arduino Uno-based automatic transformer wire winding machine has been carried out. The research aim was to make an automatic winding machine using wire coils that can be adjusted for rotation speed and high accuracy of the number of turns. In testing system, the enamel wire was wrapped around with a different number of turns, that is 200;400;600;800;1000 turns. The calibration method in this study was carried out manually, that is recounting the turns on the koker that had been wrapped using an automatic winding machine. The speed of the winding machine is calibrated using a tachometer. The results of the calculation of the average rolling accuracy of 99,73%.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87340740","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}
In a Microgrid system that relies on renewable energy generation, one of the most important constituent systems is the Battery Energy Storage System because of its vital role in maintaining the stability of the Microgrid in providing power to the load. However, to operate the battery, a Battery Management System is needed to ensure the battery operates at the desired working range, so that battery reliability can be maintained. To determine the behavior of the Microgrid and the designed BMS in accordance with the desired specifications, a Hardware-inthe-Loop (HIL) Simulation has been designed using Simulink to model a DC Microgrid which consists of several sub-systems such as: An ideally designed generator and load as a tester, a bidirectional buck and boost converter with a PI controller, and a battery system equipped with a Switched Shunt Resistor Cell Balancing type, all controlled using the BMS algorithm implemented on Arduino. From the test results, it is found that HIL can communicate with good QoS on various inputs as long as the Arduino sample time meets. Then the PI controller with HIL was able to improve converter performance and also succeeded in controlling cell balancing with the efficiency of charging and idle modes of 99% and 99.4% respectively. Finally, in testing the integrated system, the BMS can maintain the performance of the Microgrid with bus voltage and battery current parameters in various SoC conditions and generator voltage fluctuations, even though there are high voltage transients.
{"title":"Perancangan Simulasi Hardware-in-The-Loop Untuk Sistem Manajemen Baterai","authors":"Fathir Endrawan, Reza Fauzi Iskandar, Indra Wahyudin Fathonah","doi":"10.23960/jemit.v2i3.66","DOIUrl":"https://doi.org/10.23960/jemit.v2i3.66","url":null,"abstract":"In a Microgrid system that relies on renewable energy generation, one of the most important constituent systems is the Battery Energy Storage System because of its vital role in maintaining the stability of the Microgrid in providing power to the load. However, to operate the battery, a Battery Management System is needed to ensure the battery operates at the desired working range, so that battery reliability can be maintained. To determine the behavior of the Microgrid and the designed BMS in accordance with the desired specifications, a Hardware-inthe-Loop (HIL) Simulation has been designed using Simulink to model a DC Microgrid which consists of several sub-systems such as: An ideally designed generator and load as a tester, a bidirectional buck and boost converter with a PI controller, and a battery system equipped with a Switched Shunt Resistor Cell Balancing type, all controlled using the BMS algorithm implemented on Arduino. From the test results, it is found that HIL can communicate with good QoS on various inputs as long as the Arduino sample time meets. Then the PI controller with HIL was able to improve converter performance and also succeeded in controlling cell balancing with the efficiency of charging and idle modes of 99% and 99.4% respectively. Finally, in testing the integrated system, the BMS can maintain the performance of the Microgrid with bus voltage and battery current parameters in various SoC conditions and generator voltage fluctuations, even though there are high voltage transients.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80601073","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}
Nevalen Aginda Prasetyo, Arif Surtono, J. Junaidi, Gurum Ahmad Pauzi
A computer vision-based non-destructive pineapple maturity level identification system has been realized. This research was conducted to create a system capable of identifying six indexes of pineapple maturity level. An artificial neural network is used as a classifier for the level of maturity pineapples. Artificial neural network input is a statistical parameter consisting of mean, standard deviation, variance, kurtosis, and skewness of RGB and HSV color models pineapple images. Statistical parameters of the color model with a Pearson correlation value greater than 0.5 were used to characterize pineapple images. A total of 360 pineapple images were used in the training process with a percentage of 75% of training data and 25% of validation data. An image segmentation process is applied to separate the pineapple image from the image background. The result of this research is a pineapple maturity level identification system consisting of software and hardware which is able to identify six indexes of pineapple maturity level with average accuracy value of 98,4%.
{"title":"Sistem Identifikasi Tingkat Kematangan Buah Nanas Secara Non-Destruktif Berbasis Computer Vision","authors":"Nevalen Aginda Prasetyo, Arif Surtono, J. Junaidi, Gurum Ahmad Pauzi","doi":"10.23960/jemit.v2i1.26","DOIUrl":"https://doi.org/10.23960/jemit.v2i1.26","url":null,"abstract":"A computer vision-based non-destructive pineapple maturity level identification system has been realized. This research was conducted to create a system capable of identifying six indexes of pineapple maturity level. An artificial neural network is used as a classifier for the level of maturity pineapples. Artificial neural network input is a statistical parameter consisting of mean, standard deviation, variance, kurtosis, and skewness of RGB and HSV color models pineapple images. Statistical parameters of the color model with a Pearson correlation value greater than 0.5 were used to characterize pineapple images. A total of 360 pineapple images were used in the training process with a percentage of 75% of training data and 25% of validation data. An image segmentation process is applied to separate the pineapple image from the image background. The result of this research is a pineapple maturity level identification system consisting of software and hardware which is able to identify six indexes of pineapple maturity level with average accuracy value of 98,4%.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87191272","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}
Nita Suliyani, Sri Wahyu Suciyati, Gurum Ahmad Pauzi, Arif Surtono
In this research, the water turbidity measurement tool based on Arduino Uno has been designed and built using phototransistors and infrared LEDs. This measuring instrument consists of a series of infrared sensors, Arduino as a process, LCD I2C as a value viewer, Micro SD as a data storage, and RTC as a timer. This study used two water samples with various concentrations. The sample used, namely distilled water plus impurities in the form of soil and ash. The distilled water used is still 100 ml with variations in the concentration of impurities ranging from 0,1-0,9 gr. Sensor test results show that the greater the turbidity level, the greater the voltage obtained. Sensor scanning ranges from 2,02 V-4,00 V for groundwater and 2,02 V-4,31 V for ash water. The reading uses a standard measuring instrument for groundwater ranging from 0 NTU to 331,4 NTU, while for ash water ranging from 0 NTU to 284,4 NTU. Data from the sensor test results in an equation used to convert the artificial measuring instrument's voltage value into a turbidity value. Then, data is taken using the same sample, so groundwater's turbidity value was obtained from 0 NTU to 318,94 NTU while for ash water from 0 NTU to 285,13 NTU. Based on the results, average accuracy for water was obtained. Soil amounted to 94,66%, while for ash water was 96,63%.
{"title":"Rancang Bangun Alat Ukur Kekeruhan Air Menggunakan Fototransistor dan LED Inframerah Berbasis Arduino Uno","authors":"Nita Suliyani, Sri Wahyu Suciyati, Gurum Ahmad Pauzi, Arif Surtono","doi":"10.23960/jemit.v2i2.53","DOIUrl":"https://doi.org/10.23960/jemit.v2i2.53","url":null,"abstract":"In this research, the water turbidity measurement tool based on Arduino Uno has been designed and built using phototransistors and infrared LEDs. This measuring instrument consists of a series of infrared sensors, Arduino as a process, LCD I2C as a value viewer, Micro SD as a data storage, and RTC as a timer. This study used two water samples with various concentrations. The sample used, namely distilled water plus impurities in the form of soil and ash. The distilled water used is still 100 ml with variations in the concentration of impurities ranging from 0,1-0,9 gr. Sensor test results show that the greater the turbidity level, the greater the voltage obtained. Sensor scanning ranges from 2,02 V-4,00 V for groundwater and 2,02 V-4,31 V for ash water. The reading uses a standard measuring instrument for groundwater ranging from 0 NTU to 331,4 NTU, while for ash water ranging from 0 NTU to 284,4 NTU. Data from the sensor test results in an equation used to convert the artificial measuring instrument's voltage value into a turbidity value. Then, data is taken using the same sample, so groundwater's turbidity value was obtained from 0 NTU to 318,94 NTU while for ash water from 0 NTU to 285,13 NTU. Based on the results, average accuracy for water was obtained. Soil amounted to 94,66%, while for ash water was 96,63%.","PeriodicalId":15738,"journal":{"name":"Journal of Energy, Material, and Instrumentation Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89841268","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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