Pub Date : 2022-11-24DOI: 10.25124/cepat.v1i03.5315
Rodan Hilmi Dawwas
Tuberculosis (TB) is an infectious disease that can be detected using a sputum sample. TB cases in Indonesia have spread throughout the region; the highest cases are in West Java. This problem makes the government do some handling and prevention of TB disease. The Bandung City Health Office (DKKB) conducted a cross-test to diagnose TB using a sputum sample. So in this study, a TB bacteria detection system, namely Mycobacterium Tuberculosis (MTB), will be made in sputum samples and their number to diagnose TB. Detection and calculation of the number of MTB are done by processing the image on the sputum sample using the watershed contour detection method. In this study, sputum sample data were obtained from DKKB. The acquisition of microscopic images at each point of the field of view is carried out using an SLR camera connected directly to the microscope to replace the function of the ocular lens. In this study, the microscopic sputum sample images were classified into positive and negative using the watershed and colorspace methods and were tested on a total of 90 microscopic images. From the system testing results, the system accuracy level is 100%, and the system precision is 100% for the detection of TB diagnosis. The system processing time averaged 5.811 seconds for 90 images used.
{"title":"TBC Bacteria Detection in Microscopic Image With Watershed Countur Method","authors":"Rodan Hilmi Dawwas","doi":"10.25124/cepat.v1i03.5315","DOIUrl":"https://doi.org/10.25124/cepat.v1i03.5315","url":null,"abstract":"Tuberculosis (TB) is an infectious disease that can be detected using a sputum sample. TB cases in Indonesia have spread throughout the region; the highest cases are in West Java. This problem makes the government do some handling and prevention of TB disease. The Bandung City Health Office (DKKB) conducted a cross-test to diagnose TB using a sputum sample. So in this study, a TB bacteria detection system, namely Mycobacterium Tuberculosis (MTB), will be made in sputum samples and their number to diagnose TB. Detection and calculation of the number of MTB are done by processing the image on the sputum sample using the watershed contour detection method. In this study, sputum sample data were obtained from DKKB. The acquisition of microscopic images at each point of the field of view is carried out using an SLR camera connected directly to the microscope to replace the function of the ocular lens. In this study, the microscopic sputum sample images were classified into positive and negative using the watershed and colorspace methods and were tested on a total of 90 microscopic images. From the system testing results, the system accuracy level is 100%, and the system precision is 100% for the detection of TB diagnosis. The system processing time averaged 5.811 seconds for 90 images used.","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122545333","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 : 2022-11-24DOI: 10.25124/cepat.v1i03.5297
M. Adrian, Munawar Ahmad
The world of the web and the internet today has become one of the centers for exchanging information between humans, one of which is shown by the development of web applications in the form of content management systems (CMS). By being based on JavaServer Pages (JSP), which has the advantages of being platform-independent, inexpensive and free, and easy to develop, it is possible to become an alternative solution to meet today's general medical needs, namely online and web-based, extensible and customizable. , robust and efficient, secure and authenticated, and easy to develop and maintain. there is a need that turns out to be equally owned and used by only a few medical institutions or there is even a need that is shared by all of them. These needs are developed and used as a standard so that web applications in the medical field are universal and can be used by any medical institution, anywhere, and anywhere. As a result, medical needs that can be implemented into a web application and can be universally applicable.
{"title":"Content Management System Development for Medical Web Applications","authors":"M. Adrian, Munawar Ahmad","doi":"10.25124/cepat.v1i03.5297","DOIUrl":"https://doi.org/10.25124/cepat.v1i03.5297","url":null,"abstract":"The world of the web and the internet today has become one of the centers for exchanging information between humans, one of which is shown by the development of web applications in the form of content management systems (CMS). By being based on JavaServer Pages (JSP), which has the advantages of being platform-independent, inexpensive and free, and easy to develop, it is possible to become an alternative solution to meet today's general medical needs, namely online and web-based, extensible and customizable. , robust and efficient, secure and authenticated, and easy to develop and maintain. there is a need that turns out to be equally owned and used by only a few medical institutions or there is even a need that is shared by all of them. These needs are developed and used as a standard so that web applications in the medical field are universal and can be used by any medical institution, anywhere, and anywhere. As a result, medical needs that can be implemented into a web application and can be universally applicable.","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134452945","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.v1i02.5269
Michelle Octavia Yolanda Sari
As time passes by, the increasing demands from 4G technology services to 5G technology are getting bigger. In line with the development of 5G, there are several open sources such as Free5gc, Open5gs which already provide core 5G network services so that they can help create and simulate private 5G networks. By using free5gc open source, it still needs more attention from the security side, especially from common attacks such as DDoS. Then the attack scenario is carried out from the inner network side, namely from the UE with the TCP SYN Flood and Ping of Death attack methods. The results of the attack contained comparisons for CPU and memory usage parameters. Then the TCP SYN Flood attack had an impact on the core network function components, namely Access and Mobility Management (AMF), which in 5G services experienced errors or crashes after receiving large packets. Thus, users cannot use the service because if an error occurs in the core network function (AMF), then the connection to gNB and the UE will also be lost
随着时间的推移，从4G技术服务到5G技术的需求越来越大。随着5G的发展，有几个开源如Free5gc, Open5gs已经提供了核心5G网络服务，以便他们可以帮助创建和模拟专用5G网络。通过使用free5gc开源，它仍然需要更多的安全方面的关注，特别是常见的攻击，如DDoS。然后攻击场景从内部网络侧，即从终端使用TCP SYN Flood和Ping of Death攻击方式进行攻击。攻击结果包含CPU和内存使用参数的比较。然后，TCP SYN Flood攻击对网络核心功能组件AMF (Access and Mobility Management)产生影响，使其在5G业务中接收到大报文后出现错误或崩溃。如果AMF (core network function)出现错误，则会导致与gNB和终端的连接中断，导致用户无法使用该业务
{"title":"As 5G Mobile Private Security Analysis Based on Cloud Computing","authors":"Michelle Octavia Yolanda Sari","doi":"10.25124/cepat.v1i02.5269","DOIUrl":"https://doi.org/10.25124/cepat.v1i02.5269","url":null,"abstract":"As time passes by, the increasing demands from 4G technology services to 5G technology are getting bigger. In line with the development of 5G, there are several open sources such as Free5gc, Open5gs which already provide core 5G network services so that they can help create and simulate private 5G networks. By using free5gc open source, it still needs more attention from the security side, especially from common attacks such as DDoS. Then the attack scenario is carried out from the inner network side, namely from the UE with the TCP SYN Flood and Ping of Death attack methods. The results of the attack contained comparisons for CPU and memory usage parameters. Then the TCP SYN Flood attack had an impact on the core network function components, namely Access and Mobility Management (AMF), which in 5G services experienced errors or crashes after receiving large packets. Thus, users cannot use the service because if an error occurs in the core network function (AMF), then the connection to gNB and the UE will also be lost","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"130 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":"122825804","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.v1i02.4879
Putri Rahmasari Yunelfi, Yudha Purwanto, M. F. Ruriawan, Agus Setiawan Popalia, Fina Fahrani
At this moment there are more and more cases of illegal goods transactions and personal data being leaked. Illegal transactions and personal sales data are usually carried out on the deep web, especially dark web because the web has multiple layers of encryption and an anonymous system when accessing it. without any illegal transactions and personal sales data, basically the web is very wide and deep. Therefore, the crawling method can be used to explore the dark web. The crawling method on the dark web can use a crawl focus that takes a focused approach on a particular topic. The focus crawling method takes a URL approach by looking at URL that are interconnected with the main URL page on the desired topic. To do focus crawling, it is done by entering keywords that best match the desired topic. With the focus crawling method, it is hoped that the maximum URL data set related to a particular topic can be generated. From the results obtained on the crawling system on the dark web, it is hoped that it can also be used to find out the number of URLs related to certain topics. In addition, the results of this crawl can also be a source of information for further research on the dark web.
{"title":"DarkWeb Crawling using Focused and Classified Algorithm","authors":"Putri Rahmasari Yunelfi, Yudha Purwanto, M. F. Ruriawan, Agus Setiawan Popalia, Fina Fahrani","doi":"10.25124/cepat.v1i02.4879","DOIUrl":"https://doi.org/10.25124/cepat.v1i02.4879","url":null,"abstract":"At this moment there are more and more cases of illegal goods transactions and personal data being leaked. Illegal transactions and personal sales data are usually carried out on the deep web, especially dark web because the web has multiple layers of encryption and an anonymous system when accessing it. without any illegal transactions and personal sales data, basically the web is very wide and deep. Therefore, the crawling method can be used to explore the dark web. The crawling method on the dark web can use a crawl focus that takes a focused approach on a particular topic. The focus crawling method takes a URL approach by looking at URL that are interconnected with the main URL page on the desired topic. To do focus crawling, it is done by entering keywords that best match the desired topic. With the focus crawling method, it is hoped that the maximum URL data set related to a particular topic can be generated. From the results obtained on the crawling system on the dark web, it is hoped that it can also be used to find out the number of URLs related to certain topics. In addition, the results of this crawl can also be a source of information for further research on the dark web.","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"34 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":"123510417","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.v1i02.5299
Taufan Zandy Andrian
Vehicle tracking using the positioning system that is used today is the single point positioning method implementation, but the accuracy of the method is still inadequate for further features to be applied. Therefore, an accuracy improvement is needed. By applying the Real Time Kinematic (RTK) method which has an centimeter level of accuracy, the IndiCar webapp made by PT. Telkom Indonesia offers further features in driving, such as sudden vehicle movements detection, to accidents indications. Accuracy comparisons can also be made to define how significant the difference in accuracy of the two methods. The tests show quite significant results. At single point positioning, the largest deviation is at 20 m and the smallest at 1.0960 m, while in the RTK method, the largest deviation is at a value of 80 cm while the smallest at 0.92 cm. The standard deviation value is then used in the calculation of accuracy. With CEP calculations, the single point positioning method produces accuracy at 5.4659 m, while the RTK method provides a more precise level of accuracy, with a value of 18.22 cm. These results show that the RTK method can be an alternative, to improve accuracy in the use of positioning systems.
{"title":"Significance of Accuracy Comparison in Real-Time Kinematic and Single Point Positioning On-Board Application in Vehicles","authors":"Taufan Zandy Andrian","doi":"10.25124/cepat.v1i02.5299","DOIUrl":"https://doi.org/10.25124/cepat.v1i02.5299","url":null,"abstract":"\u0000 \u0000 \u0000 \u0000Vehicle tracking using the positioning system that is used today is the single point positioning method implementation, but the accuracy of the method is still inadequate for further features to be applied. Therefore, an accuracy improvement is needed. By applying the Real Time Kinematic (RTK) method which has an centimeter level of accuracy, the IndiCar webapp made by PT. Telkom Indonesia offers further features in driving, such as sudden vehicle movements detection, to accidents indications. Accuracy comparisons can also be made to define how significant the difference in accuracy of the two methods. The tests show quite significant results. At single point positioning, the largest deviation is at 20 m and the smallest at 1.0960 m, while in the RTK method, the largest deviation is at a value of 80 cm while the smallest at 0.92 cm. The standard deviation value is then used in the calculation of accuracy. With CEP calculations, the single point positioning method produces accuracy at 5.4659 m, while the RTK method provides a more precise level of accuracy, with a value of 18.22 cm. These results show that the RTK method can be an alternative, to improve accuracy in the use of positioning systems. \u0000 \u0000 \u0000 \u0000","PeriodicalId":301532,"journal":{"name":"[CEPAT] Journal of Computer Engineering: Progress, Application and Technology","volume":"79 6 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":"121203347","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}
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}
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