While prepaid electricity services provide better flexibility, it comes with an additional step for the customer. Instead of paying a monthly bill based on electric usage, a prepaid system requires customers to actively predict their electricity usage before they pay for the correct electricity value. This presents a challenge because Underestimating electricity usage may lead to a power outage. Therefore, a system that monitors electricity can be developed to address this issue. There are two approaches to developing an electric monitoring system: designing the electric meter equipped with monitoring features or designing an external capturing device to work with the current electric meter. The first approach is costly and requires a meter disassembly. Thus, in this paper, the second approach is used. By utilizing image processing and a Random Forest machine learning algorithm, a monitoring device can be developed to read the digital meter's display. Although it may affect performance due to the low-power device, Raspberry Pi 3 and Raspberry Camera are used to provide automation. This method yields an accuracy of 97% using 375 images.
{"title":"Random Forest Implementation in Prepaid Electric Meter Recognition","authors":"Komang Jaya Bhaskara Mahatya, Fathoni Waseso Jati, Budhi Irawan, F. Hasibuan","doi":"10.25124/cepat.v1i02.5228","DOIUrl":"https://doi.org/10.25124/cepat.v1i02.5228","url":null,"abstract":"While prepaid electricity services provide better flexibility, it comes with an additional step for the customer. Instead of paying a monthly bill based on electric usage, a prepaid system requires customers to actively predict their electricity usage before they pay for the correct electricity value. This presents a challenge because Underestimating electricity usage may lead to a power outage. Therefore, a system that monitors electricity can be developed to address this issue. There are two approaches to developing an electric monitoring system: designing the electric meter equipped with monitoring features or designing an external capturing device to work with the current electric meter. The first approach is costly and requires a meter disassembly. Thus, in this paper, the second approach is used. By utilizing image processing and a Random Forest machine learning algorithm, a monitoring device can be developed to read the digital meter's display. Although it may affect performance due to the low-power device, Raspberry Pi 3 and Raspberry Camera are used to provide automation. This method yields an accuracy of 97% using 375 images.","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122061271","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}
Pub Date : 2022-08-30DOI: 10.25124/cepat.v1i02.5227
Fathoni Waseso Jati, Komang Jaya Bhaskara, F. Hasibuan, Budhi Irawan
The technology development from year to year is increasing rapidly, especially in the electronics devices such as notebooks and smartphones. With the rapid development of technology, lifestyle habits have also changed. This can lead to an increase in the use of electrical energy. In addition, the negligence of electricity users in monitoring electricity usage at the place of the electricity meter also causes an increase in electrical energy. Monitoring the electricity meter in real time can limit the user from manage their electricity efficiently. This study aims to create a web-based electrical energy usage prediction system. This system can make it easier for users to manage and reduce waste of electrical energy. In the development of this system, it begins by collecting image data of remaining electricity which are processed manually into electrical energy consumption data. Then the data is pre-processed so that the data is clean and ready to use. The clean data is carried out by the process of making a Long-Short Term Memory (LSTM) model which was chosen because it can overcome Time Series and Non-Linear data types. LSTM model is designed to be able to predict the use of electrical energy. Then do the web application design as an interface on the predictive data. Based on the results of the test, the LSTM model can predict the use of electrical energy with a Loss Mean Square Error (MSE) value of 0.0071. While the results of website testing carried out with the alpha test get an accuracy of 100% and a beta test of 82.64%.
{"title":"Prediction System on Electricity Consumption using Web-Based LSTM Algorithm","authors":"Fathoni Waseso Jati, Komang Jaya Bhaskara, F. Hasibuan, Budhi Irawan","doi":"10.25124/cepat.v1i02.5227","DOIUrl":"https://doi.org/10.25124/cepat.v1i02.5227","url":null,"abstract":"The technology development from year to year is increasing rapidly, especially in the electronics devices such as notebooks and smartphones. With the rapid development of technology, lifestyle habits have also changed. This can lead to an increase in the use of electrical energy. In addition, the negligence of electricity users in monitoring electricity usage at the place of the electricity meter also causes an increase in electrical energy. Monitoring the electricity meter in real time can limit the user from manage their electricity efficiently. This study aims to create a web-based electrical energy usage prediction system. This system can make it easier for users to manage and reduce waste of electrical energy. In the development of this system, it begins by collecting image data of remaining electricity which are processed manually into electrical energy consumption data. Then the data is pre-processed so that the data is clean and ready to use. The clean data is carried out by the process of making a Long-Short Term Memory (LSTM) model which was chosen because it can overcome Time Series and Non-Linear data types. LSTM model is designed to be able to predict the use of electrical energy. Then do the web application design as an interface on the predictive data. Based on the results of the test, the LSTM model can predict the use of electrical energy with a Loss Mean Square Error (MSE) value of 0.0071. While the results of website testing carried out with the alpha test get an accuracy of 100% and a beta test of 82.64%.","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129835804","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}
Pub Date : 2022-08-30DOI: 10.25124/cepat.v1i02.5189
Dendi Arya Raditya Prawira Putra, Yudha Purwanto, Marisa W. Paryasto
The existence of the Covid-19 virus, which was first announced at the end of 2019, in a short time was able to cause a pandemic. To overcome this, the government implemented a protocol that integrates Covid-19 test results and vaccination certificates into an application, with the aim that individuals can prove that they are free from Covid-19 infection and can return to normal activities. However, a centralized system is prone to single point of failure and data manipulation from the intervention of certain parties due to a lack of transparency. This paper proposed the use of Ethereum blockchain and smart contracts to solve this problem. By Using blockchain technology and smart contracts, the data management process will be more transparent since every transaction on the blockchain is recorded by each node. Blockchain also prevents a single point of failure because there are more than one data providers. The system that has been developed has fulfilled the security and privacy aspects of patient data by implementing password-based encryption on patient data. However, the system’s response time is strongly influenced by the computational capabilities of the Rinkeby network. On average, the system took 47,9 seconds to register a new certificate.
{"title":"The IMPLEMENTATION OF BLOCKCHAIN AS COVID-19 TEST AND VACCINE CERTIFICATE STORAGE SYSTEM","authors":"Dendi Arya Raditya Prawira Putra, Yudha Purwanto, Marisa W. Paryasto","doi":"10.25124/cepat.v1i02.5189","DOIUrl":"https://doi.org/10.25124/cepat.v1i02.5189","url":null,"abstract":"The existence of the Covid-19 virus, which was first announced at the end of 2019, in a short time was able to cause a pandemic. To overcome this, the government implemented a protocol that integrates Covid-19 test results and vaccination certificates into an application, with the aim that individuals can prove that they are free from Covid-19 infection and can return to normal activities. However, a centralized system is prone to single point of failure and data manipulation from the intervention of certain parties due to a lack of transparency. This paper proposed the use of Ethereum blockchain and smart contracts to solve this problem. By Using blockchain technology and smart contracts, the data management process will be more transparent since every transaction on the blockchain is recorded by each node. Blockchain also prevents a single point of failure because there are more than one data providers. The system that has been developed has fulfilled the security and privacy aspects of patient data by implementing password-based encryption on patient data. However, the system’s response time is strongly influenced by the computational capabilities of the Rinkeby network. On average, the system took 47,9 seconds to register a new certificate.","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122480266","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}
Pub Date : 2022-08-30DOI: 10.25124/cepat.v1i02.5226
S. C. Pranoto
The increasing information encourages the development of new technologies so that data and information processing can be done easily and quickly. One of them in terms of obtaining information obtained from the website and most of the current studies targeting this task are mostly about automated web data extraction. Web scraping is a process of extracting valuable and interesting text information from web pages. To realize space weather prediction information services, including geomagnetic activity, Forecast Report Form of geomagnetic (FRF) application was developed using the web scraping method. The results obtained indicate that web scraping reliable for collecting large amounts of data more quickly automatically, efficient and can present expected result. Black box testing is used to test the web scrapping process.
{"title":"Web Scraping On Forecast Report Form Of Geomagnet","authors":"S. C. Pranoto","doi":"10.25124/cepat.v1i02.5226","DOIUrl":"https://doi.org/10.25124/cepat.v1i02.5226","url":null,"abstract":"The increasing information encourages the development of new technologies so that data and information processing can be done easily and quickly. One of them in terms of obtaining information obtained from the website and most of the current studies targeting this task are mostly about automated web data extraction. Web scraping is a process of extracting valuable and interesting text information from web pages. To realize space weather prediction information services, including geomagnetic activity, Forecast Report Form of geomagnetic (FRF) application was developed using the web scraping method. The results obtained indicate that web scraping reliable for collecting large amounts of data more quickly automatically, efficient and can present expected result. Black box testing is used to test the web scrapping process.","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114396498","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}
Consumer behavior can be detected by conducting surveys, but this method lacks the depth of analysis to measure consumer behavior. By utilizing technological and scientific advances through the study of neuroscience, especially in neuromarketing, it is hoped to improve the ability to analyze consumer behavior. Neuromarketing has been widely used to measure consumer behavior through several stimuli, including logo colors. Neuromarketing to the human brain's response is done using electroencephalography (EEG) signal analysis. Data collection was carried out on six students aged 19-24 years. Subjects were given a stimulus of five original logo colors and five logo colors recolored with the number of questions in three sessions. Pre-processing uses a butterwort horde four bandpass filter with a theta-band frequency band in the frequency range of 4-8 Hz. Data on color changes using questionnaires and EEG signal data is processed on spatial and spectral domains to view active areas of short-term memory. The result obtained is the effect of the change in logo color on consumer memory and the active location of short-term memory on the logo's color. Using spatial selection, the number of channels was reduced from 16 to 4 channels or by 75%. The selected channels are in the memory and visual areas.
{"title":"Study of Neuromarketing in Consumer Behavior due to Product Logos Color Changes Effect","authors":"Denta Rahmadani, Hilman Fauzi, Reza Armanda Lubis, Maya Ariyanti","doi":"10.25124/cepat.v1i02.5245","DOIUrl":"https://doi.org/10.25124/cepat.v1i02.5245","url":null,"abstract":"Consumer behavior can be detected by conducting surveys, but this method lacks the depth of analysis to measure consumer behavior. By utilizing technological and scientific advances through the study of neuroscience, especially in neuromarketing, it is hoped to improve the ability to analyze consumer behavior. Neuromarketing has been widely used to measure consumer behavior through several stimuli, including logo colors. Neuromarketing to the human brain's response is done using electroencephalography (EEG) signal analysis. Data collection was carried out on six students aged 19-24 years. Subjects were given a stimulus of five original logo colors and five logo colors recolored with the number of questions in three sessions. Pre-processing uses a butterwort horde four bandpass filter with a theta-band frequency band in the frequency range of 4-8 Hz. Data on color changes using questionnaires and EEG signal data is processed on spatial and spectral domains to view active areas of short-term memory. The result obtained is the effect of the change in logo color on consumer memory and the active location of short-term memory on the logo's color. Using spatial selection, the number of channels was reduced from 16 to 4 channels or by 75%. The selected channels are in the memory and visual areas.","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133615718","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}
Pub Date : 2022-05-31DOI: 10.25124/cepat.v1i01.4852
E. Febrianti
Tutoring is informal education to help students who have problems outside of school. Students are helped to adjust to their learning situation so that they can develop efficiently according to their abilities. In Indonesia, there are still many students who do not understand the learning material delivered at school, so they must deepen the material outside of school learning. Especially since the COVID-19 pandemic hit, the effectiveness of learning activities has decreased because the learning process is carried out online which results in less interactive learning. Therefore, the EduAlecta application was created which is engaged in digital-based education. The EduAlecta app can help teachers increase their income and connect with students who need tutoring outside of school hours. The EduAlecta application system has the advantage of applying GPS so that students can determine the study location they want and students can arrange the tutoring they ordered. The method used in the front-end design is user centered design and the back-end design method uses waterfall.
{"title":"Development of Course Booking System (Front-end & Back-end) Based on Mobile Application to Help Tutoring Elementary and Junior High School in Indonesia","authors":"E. Febrianti","doi":"10.25124/cepat.v1i01.4852","DOIUrl":"https://doi.org/10.25124/cepat.v1i01.4852","url":null,"abstract":"Tutoring is informal education to help students who have problems outside of school. Students are helped to adjust to their learning situation so that they can develop efficiently according to their abilities. In Indonesia, there are still many students who do not understand the learning material delivered at school, so they must deepen the material outside of school learning. Especially since the COVID-19 pandemic hit, the effectiveness of learning activities has decreased because the learning process is carried out online which results in less interactive learning. Therefore, the EduAlecta application was created which is engaged in digital-based education. The EduAlecta app can help teachers increase their income and connect with students who need tutoring outside of school hours. The EduAlecta application system has the advantage of applying GPS so that students can determine the study location they want and students can arrange the tutoring they ordered. The method used in the front-end design is user centered design and the back-end design method uses waterfall.","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120954525","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}
Pub Date : 2022-05-31DOI: 10.25124/cepat.v1i01.4844
Muhammad Emir Ghiffari, Miftah Amirul Amin, Muhammad Arham Irsyad, U. Ahmad, R. R. D. Setiady, F. M. Dirgantara, Reza Septiawan
Museums genereally display historical objects such as heirlooms and artifacts. To observe this object more clearly visitors usually touch the display case or even hold the objects directly. The implementation of new normal expected that people avoiding contact either directly and indirectly. This study aims to find an alternative solution for reducing contact in museum, This study aims to implement the Augmented Reality (AR) technologies as one of solution for reducing contact in museums, by implementing it in form of mobile application that using Android operating system supported by Unity AR Foundation and ARCore. This research conducted at Keraton Kanoman in Cirebon City. The results of performances test showed 4 out of 10 objects displayed and running 60 Hz Refresh Rates and 60 fps. While the AR/VR development in Android is still limited due to ARCore incompatibility issue, the device proofed to run smoothly without having significant Refresh or Frame Rates drop
{"title":"The Implementation of Augmented Reality in Keraton Kanoman’s Museum","authors":"Muhammad Emir Ghiffari, Miftah Amirul Amin, Muhammad Arham Irsyad, U. Ahmad, R. R. D. Setiady, F. M. Dirgantara, Reza Septiawan","doi":"10.25124/cepat.v1i01.4844","DOIUrl":"https://doi.org/10.25124/cepat.v1i01.4844","url":null,"abstract":"Museums genereally display historical objects such as heirlooms and artifacts. To observe this object more clearly visitors usually touch the display case or even hold the objects directly. The implementation of new normal expected that people avoiding contact either directly and indirectly. This study aims to find an alternative solution for reducing contact in museum, This study aims to implement the Augmented Reality (AR) technologies as one of solution for reducing contact in museums, by implementing it in form of mobile application that using Android operating system supported by Unity AR Foundation and ARCore. This research conducted at Keraton Kanoman in Cirebon City. The results of performances test showed 4 out of 10 objects displayed and running 60 Hz Refresh Rates and 60 fps. While the AR/VR development in Android is still limited due to ARCore incompatibility issue, the device proofed to run smoothly without having significant Refresh or Frame Rates drop","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114823659","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}
Pub Date : 2022-05-31DOI: 10.25124/cepat.v1i01.4839
Miftah Amirul Amin, Muhammad Emir Ghiffari, Muhammad Arham Irsyad, U. Ahmad, Reza Septiawan, F. M. Dirgantara, R. R. D. Setiady
Heirlooms are very valuable items because they have a strong historical value. But in reality, many heirlooms are damaged as a result of the negligence of visitors who want to see the heirlooms or because of a disaster. Photogrammetry is a technology that is developing and is often used for today's industrial needs so that it offers an alternative solution for documenting heirlooms in the form of 3D models. This study aims to implement photogrammetry to document heirlooms. With the application of this technology, it is hoped that it can be used as a prevention or solution if heirlooms are damaged because we can make new duplicates of heirlooms based on 3D models that have been made. This research was conducted at Kanoman Palace, Cirebon City. The results of photogrammetry after it is implemented show that all needs are met and can be used as needed. The results of the questionnaire to the Kanoman Palace and people in Cirebon City, showed a figure of 73.7% strongly agree that the photogrammetry results are similar to the original heirlooms and strongly agree that by making 3D models of heirlooms can be used as prevention and solutions if the heirlooms are damaged.
{"title":"Photogrammetry to maintain heirloom authenticity","authors":"Miftah Amirul Amin, Muhammad Emir Ghiffari, Muhammad Arham Irsyad, U. Ahmad, Reza Septiawan, F. M. Dirgantara, R. R. D. Setiady","doi":"10.25124/cepat.v1i01.4839","DOIUrl":"https://doi.org/10.25124/cepat.v1i01.4839","url":null,"abstract":"Heirlooms are very valuable items because they have a strong historical value. But in reality, many heirlooms are damaged as a result of the negligence of visitors who want to see the heirlooms or because of a disaster. Photogrammetry is a technology that is developing and is often used for today's industrial needs so that it offers an alternative solution for documenting heirlooms in the form of 3D models. This study aims to implement photogrammetry to document heirlooms. With the application of this technology, it is hoped that it can be used as a prevention or solution if heirlooms are damaged because we can make new duplicates of heirlooms based on 3D models that have been made. This research was conducted at Kanoman Palace, Cirebon City. The results of photogrammetry after it is implemented show that all needs are met and can be used as needed. The results of the questionnaire to the Kanoman Palace and people in Cirebon City, showed a figure of 73.7% strongly agree that the photogrammetry results are similar to the original heirlooms and strongly agree that by making 3D models of heirlooms can be used as prevention and solutions if the heirlooms are damaged.","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"287 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114057551","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}
Pub Date : 2022-05-31DOI: 10.25124/cepat.v1i01.4818
Aminah Indahsari Marsuki
Visible Light Communication (VLC) is a communication system that uses visible light as its transmission medium to transmit information signals with Light Emitting Diode (LED) and LASER light sources using visible light between 400 THz (375 nm) to 800 THz (780 nm). VLC has several advantages over the use of radio frequencies in a system. Performance analysis is needed to prove these advantages. Performance analysis was carried out using a mathematical computational simulation using google colab with the python programming language. By taking into account the power allocation (?) strategy in the form of gain ratio power allocation (GRPA) and static power allocation (SPA). The interesting thing from this research is that the power allocation in the VLC system greatly influences the resulting performance. So, it can be locked that the SPA power allocation strategy can be adjusted by producing ?? = 1 and finding the optimal BER value in the range of 10-6 to 10^-3.
{"title":"The Performance of Visible Light Communication Bit Error Rate with Power Allocation Strategy","authors":"Aminah Indahsari Marsuki","doi":"10.25124/cepat.v1i01.4818","DOIUrl":"https://doi.org/10.25124/cepat.v1i01.4818","url":null,"abstract":"Visible Light Communication (VLC) is a communication system that uses visible light as its transmission medium to transmit information signals with Light Emitting Diode (LED) and LASER light sources using visible light between 400 THz (375 nm) to 800 THz (780 nm). VLC has several advantages over the use of radio frequencies in a system. Performance analysis is needed to prove these advantages. Performance analysis was carried out using a mathematical computational simulation using google colab with the python programming language. By taking into account the power allocation (?) strategy in the form of gain ratio power allocation (GRPA) and static power allocation (SPA). The interesting thing from this research is that the power allocation in the VLC system greatly influences the resulting performance. So, it can be locked that the SPA power allocation strategy can be adjusted by producing ?? = 1 and finding the optimal BER value in the range of 10-6 to 10^-3.","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129393533","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}
Pub Date : 2022-05-31DOI: 10.25124/cepat.v1i01.4846
M. Ihsan, Ahmad Rif'a Al Muttaqi, U. Ahmad, Jati Satria Wicaksana, Fairuz Azmi
Water is the most basic human need. To maintain the distribution of water runs well, PERUMDAM uses a water pump panel to run and monitor the water pump to keep running. Even so, the water pump can be damaged at any time so PERUMDAM officers do routine activities to check the health of the water pump. Therefore, this article tries to solve the problem by making the design and implementing the IoT-based pump panels. An IoT-based pump panel is a device that is connected to an Android application to control and monitor the pump panel in real-time. In this study, NodeMCU is used as a center for sensor data retrieval to be sent to Firebase. Android applications can send notifications if there are anomalies in the sensor data. Controlling that can be done by the IoT-based pump panel is changing the mode on the analog pump panel from manual to automatic, and vice versa. The monitoring data obtained by the IoT-based pump panel is divided into two types. The optocoupler generates data related to the sensors on the analog pump panel in a boolean form. The power meter generates data in the form of values for voltage (R, S, T), current (R, S, T), frequency, and others as needed. The data obtained on the power meter can be used to calculate the power used by the analog pump panel.
{"title":"Development of 3 Phase Pump Panel Monitoring System based on Internet of Things (Case Study PERUMDAM)","authors":"M. Ihsan, Ahmad Rif'a Al Muttaqi, U. Ahmad, Jati Satria Wicaksana, Fairuz Azmi","doi":"10.25124/cepat.v1i01.4846","DOIUrl":"https://doi.org/10.25124/cepat.v1i01.4846","url":null,"abstract":"Water is the most basic human need. To maintain the distribution of water runs well, PERUMDAM uses a water pump panel to run and monitor the water pump to keep running. Even so, the water pump can be damaged at any time so PERUMDAM officers do routine activities to check the health of the water pump. Therefore, this article tries to solve the problem by making the design and implementing the IoT-based pump panels. \u0000An IoT-based pump panel is a device that is connected to an Android application to control and monitor the pump panel in real-time. In this study, NodeMCU is used as a center for sensor data retrieval to be sent to Firebase. Android applications can send notifications if there are anomalies in the sensor data. Controlling that can be done by the IoT-based pump panel is changing the mode on the analog pump panel from manual to automatic, and vice versa. \u0000The monitoring data obtained by the IoT-based pump panel is divided into two types. The optocoupler generates data related to the sensors on the analog pump panel in a boolean form. The power meter generates data in the form of values for voltage (R, S, T), current (R, S, T), frequency, and others as needed. The data obtained on the power meter can be used to calculate the power used by the analog pump panel.","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126885067","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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