Pub Date : 2022-09-13DOI: 10.1109/IC2IE56416.2022.9970035
Otniel Abiezer., F. Nhita, I. Kurniawan
Cancer is a symptom of abnormal cell growth and is uncontrollable. Lung cancer is one of the most common types of cancer. Smoking is the leading cause of lung cancer. Early detection is essential because it can prevent lung cancer and get the proper treatment, such as a low-dose CT scan (LDCT). However, this effort still has drawbacks. With advances in DNA microarray technology, it is possible to measure the gene expression level of thousands of genes or cells in each tissue. The identification of lung cancer can be made using machine learning from the gene expression data (DNA microarray). In this study, a machine learning prediction model has been built using the Ensemble Methods, i.e. Random Forest and AdaBoost. The best model is Random Forest with 900 features and gets 0.77 for accuracy score and 0.80 for f1 score.
{"title":"Identification of Lung Cancer in Smoker Person Using Ensemble Methods Based on Gene Expression Data","authors":"Otniel Abiezer., F. Nhita, I. Kurniawan","doi":"10.1109/IC2IE56416.2022.9970035","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970035","url":null,"abstract":"Cancer is a symptom of abnormal cell growth and is uncontrollable. Lung cancer is one of the most common types of cancer. Smoking is the leading cause of lung cancer. Early detection is essential because it can prevent lung cancer and get the proper treatment, such as a low-dose CT scan (LDCT). However, this effort still has drawbacks. With advances in DNA microarray technology, it is possible to measure the gene expression level of thousands of genes or cells in each tissue. The identification of lung cancer can be made using machine learning from the gene expression data (DNA microarray). In this study, a machine learning prediction model has been built using the Ensemble Methods, i.e. Random Forest and AdaBoost. The best model is Random Forest with 900 features and gets 0.77 for accuracy score and 0.80 for f1 score.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127188686","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}
At some point in the cutting-edge pandemic, it causes modifications within the learning device. This pandemic has also induced many conditions that are not conducive to studying, including school closures and adjustments within the online learning machine. The technique used is a web survey questionnaire the usage of smartPls to perceive information. The consequences finished are motivation, social friendship, and era have a considerable impact on the effectiveness of online studying. That indicates that the effectiveness of online studying is encouraged by using the community, self-motivation, and the surroundings of buddies. It can be seen in the direction coefficient check that motivation influences the effectiveness of online learning by way of 0.159, social friendship affects the effectiveness of online learning by 0.399, and technology additionally influences the effectiveness of online learning by using 0.168. So what could conclude that motivation and technology are covered within the vulnerable category or have a tremendous impact? At the same time, social friendship has a vast or significant impact. On the p-cost with consequences that are not widely widespread, online studying isn't always adequate to do. The conclusion is that online learning during the COVID pandemic is not good enough.
{"title":"The Effectiveness of Online Studying at Some Point of the COVID-19 Pandemic for Students in Indonesia","authors":"Chatarina Octavianney Alvianjie, Indrajani Sutedja","doi":"10.1109/IC2IE56416.2022.9970192","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970192","url":null,"abstract":"At some point in the cutting-edge pandemic, it causes modifications within the learning device. This pandemic has also induced many conditions that are not conducive to studying, including school closures and adjustments within the online learning machine. The technique used is a web survey questionnaire the usage of smartPls to perceive information. The consequences finished are motivation, social friendship, and era have a considerable impact on the effectiveness of online studying. That indicates that the effectiveness of online studying is encouraged by using the community, self-motivation, and the surroundings of buddies. It can be seen in the direction coefficient check that motivation influences the effectiveness of online learning by way of 0.159, social friendship affects the effectiveness of online learning by 0.399, and technology additionally influences the effectiveness of online learning by using 0.168. So what could conclude that motivation and technology are covered within the vulnerable category or have a tremendous impact? At the same time, social friendship has a vast or significant impact. On the p-cost with consequences that are not widely widespread, online studying isn't always adequate to do. The conclusion is that online learning during the COVID pandemic is not good enough.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122048205","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 : 2022-09-13DOI: 10.1109/IC2IE56416.2022.9970013
M. G. Panji Wicaksono, Ivan Eka Aditya, Pradio Eka Putra, Ida Bagus Putu Angga Pranindhana, Panca O. Hadi Putra
The increase of complexity of a workload that every employee has experienced, and a growing organization that is mature make business difficult to control. Great and efficient tools are what they need to address the issues and also simplify most of employee's workload with internal departments. One of the common tools is Enterprise Resource Planning (ERP). This research's purpose is to conduct Critical Success Factors (CSF) analysis from the ERP system in one of the consumer goods companies in Indonesia. With the CSF, the organization is expected to have their decision to improvise within the given options for the upcoming events. This research uses the Analytical Hierarchy Process (AHP) to calculate and prioritize the weights of each CSF. Variables are used as the source of this research for the survey by sending questionnaire to 31 users of the ERP in the organizations. The result of this study shows ERP Selection is the highest priority, followed by Training Education and IT Infrastructure & Implementation.
{"title":"Critical Success Factor Analysis ERP Project Implementation Using Analytical Hierarchy Process in Consumer Goods Company","authors":"M. G. Panji Wicaksono, Ivan Eka Aditya, Pradio Eka Putra, Ida Bagus Putu Angga Pranindhana, Panca O. Hadi Putra","doi":"10.1109/IC2IE56416.2022.9970013","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970013","url":null,"abstract":"The increase of complexity of a workload that every employee has experienced, and a growing organization that is mature make business difficult to control. Great and efficient tools are what they need to address the issues and also simplify most of employee's workload with internal departments. One of the common tools is Enterprise Resource Planning (ERP). This research's purpose is to conduct Critical Success Factors (CSF) analysis from the ERP system in one of the consumer goods companies in Indonesia. With the CSF, the organization is expected to have their decision to improvise within the given options for the upcoming events. This research uses the Analytical Hierarchy Process (AHP) to calculate and prioritize the weights of each CSF. Variables are used as the source of this research for the survey by sending questionnaire to 31 users of the ERP in the organizations. The result of this study shows ERP Selection is the highest priority, followed by Training Education and IT Infrastructure & Implementation.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126821507","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 : 2022-09-13DOI: 10.1109/IC2IE56416.2022.9970178
A. R. Yuly, F. Nugrahani, Muhammad Azhar Lazuardi, Muhammad Syaikhan Rijalullah, Muhammad Ridwan Ramadhan
We can use technological capabilities as a solution during a pandemic. We use virtual exhibitions as one of the solutions, as it is not only implementing multimedia capabilities but also for artists and viewers to present artworks with a different experience than conventional exhibitions. In this study, we worked with artists who could not exhibit their works due to social restrictions on community activities. We use the implementation of WebGL on the exhibition platform to provide an interactive experience for users to enjoy the work more freely. We built the platform using the mixed Rapid Application Development (RAD) and Multimedia Development Life Cycle (MDLC) methods by Luther to make the work efficient. The novelty in this research is that the platform not only presents works of art but also becomes a repository for storing work data so that we can update the data on the dashboard to store multimedia data. Tests conducted on Beta Testing of users with the System Usability Scale (SUS) showed that the virtual exhibition in terms of adjective ratings included the Good category and acceptability ranges including Acceptable. We hope that with this platform, the multimedia application will become more dynamic to solve community problems under challenging conditions such as Covid 19.
{"title":"Web-Based Platform Development for Interactive 3D Visual Exhibition of Painting Artwork","authors":"A. R. Yuly, F. Nugrahani, Muhammad Azhar Lazuardi, Muhammad Syaikhan Rijalullah, Muhammad Ridwan Ramadhan","doi":"10.1109/IC2IE56416.2022.9970178","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970178","url":null,"abstract":"We can use technological capabilities as a solution during a pandemic. We use virtual exhibitions as one of the solutions, as it is not only implementing multimedia capabilities but also for artists and viewers to present artworks with a different experience than conventional exhibitions. In this study, we worked with artists who could not exhibit their works due to social restrictions on community activities. We use the implementation of WebGL on the exhibition platform to provide an interactive experience for users to enjoy the work more freely. We built the platform using the mixed Rapid Application Development (RAD) and Multimedia Development Life Cycle (MDLC) methods by Luther to make the work efficient. The novelty in this research is that the platform not only presents works of art but also becomes a repository for storing work data so that we can update the data on the dashboard to store multimedia data. Tests conducted on Beta Testing of users with the System Usability Scale (SUS) showed that the virtual exhibition in terms of adjective ratings included the Good category and acceptability ranges including Acceptable. We hope that with this platform, the multimedia application will become more dynamic to solve community problems under challenging conditions such as Covid 19.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133459535","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 : 2022-09-13DOI: 10.1109/IC2IE56416.2022.9970176
R. J. Candare, Junrie B. Matias
In this study, deep reinforcement learning-based algorithms - Deep Q-Learning (DQN), Covariance Matrix Adaptation Evolution Strategy (CMA-ES), and Advantage Actor- Critic (A2C) - are tested to control vehicle traffic in Webots World Simulation. This work also uses a microscopic traffic simulator called Simulation of Urban Mobility (SUMO) to run traffic simulations. Ray, an open-source distributed computing platform, was used to accelerate the model's training, which uses a single dynamic execution engine to allow task-parallel and actor- based computations. The algorithms were evaluated and tested against fixed-time traffic control configurations and were proven more efficient. The results also show that A2C had the best performance among the learning-based approaches, while CMA- ES had the least in terms of total vehicle wait time.
{"title":"Evaluating Deep Reinforcement Learning Methods to Develop an Intelligent Traffic Controller","authors":"R. J. Candare, Junrie B. Matias","doi":"10.1109/IC2IE56416.2022.9970176","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970176","url":null,"abstract":"In this study, deep reinforcement learning-based algorithms - Deep Q-Learning (DQN), Covariance Matrix Adaptation Evolution Strategy (CMA-ES), and Advantage Actor- Critic (A2C) - are tested to control vehicle traffic in Webots World Simulation. This work also uses a microscopic traffic simulator called Simulation of Urban Mobility (SUMO) to run traffic simulations. Ray, an open-source distributed computing platform, was used to accelerate the model's training, which uses a single dynamic execution engine to allow task-parallel and actor- based computations. The algorithms were evaluated and tested against fixed-time traffic control configurations and were proven more efficient. The results also show that A2C had the best performance among the learning-based approaches, while CMA- ES had the least in terms of total vehicle wait time.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127838401","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 : 2022-09-13DOI: 10.1109/IC2IE56416.2022.9970087
Helmy Yusuf Darmawan, Agung Sanubari, Nur Saida, Rahmat Noor Fauzi, Nadia Ristiani, P. Oktivasari, R. N. Wardhani, Riandini
Non-invasive loT home medical check-up tool is a tool to check the temperature, uric acid, cholesterol, and blood sugar levels. The tool was designed using ESP32 WEMOS LOLIN 32 Lite as the micro controller, MLX90614 as the sensor to measure the temperature, and MAX30105 as the sensor to measure the uric acid, blood sugar, and cholesterol levels. To ensure the two sensors operated as expected, value readings were tested by programming the body temperature, uric acid, blood sugar, and cholesterol sensors and sending the results of sensor reading data to a database. The ccombination of sensor programming was tested when MAX30105 sensor detected IR, RED, and GREEN values, and it was compared to the BPM, Average BPM, and SP02 values and then conjoined with the MLX90614 sensor to detect temperature values. Data transmission testing was conducted by comparing the delivery time data on the ESP32 serial monitor with a database using the internet network, and the longest time difference in delivery was 0.091 seconds.
{"title":"Non-Invasive IoT Home Medical Check-up Programming to Monitor Blood Sugar, Cholesterol, Uric Acid, and Body Temperature","authors":"Helmy Yusuf Darmawan, Agung Sanubari, Nur Saida, Rahmat Noor Fauzi, Nadia Ristiani, P. Oktivasari, R. N. Wardhani, Riandini","doi":"10.1109/IC2IE56416.2022.9970087","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970087","url":null,"abstract":"Non-invasive loT home medical check-up tool is a tool to check the temperature, uric acid, cholesterol, and blood sugar levels. The tool was designed using ESP32 WEMOS LOLIN 32 Lite as the micro controller, MLX90614 as the sensor to measure the temperature, and MAX30105 as the sensor to measure the uric acid, blood sugar, and cholesterol levels. To ensure the two sensors operated as expected, value readings were tested by programming the body temperature, uric acid, blood sugar, and cholesterol sensors and sending the results of sensor reading data to a database. The ccombination of sensor programming was tested when MAX30105 sensor detected IR, RED, and GREEN values, and it was compared to the BPM, Average BPM, and SP02 values and then conjoined with the MLX90614 sensor to detect temperature values. Data transmission testing was conducted by comparing the delivery time data on the ESP32 serial monitor with a database using the internet network, and the longest time difference in delivery was 0.091 seconds.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131458228","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 : 2022-09-13DOI: 10.1109/IC2IE56416.2022.9970048
Samyak Shrimali
Skin cancer is one of the most common and dangerous types of cancer. With global ozone levels depleting and more ultraviolet radiation reaching the Earth's surface, rates of skin cancer are predicted increase rapidly. As per WHO, around 3 million cases of skin cancer are diagnosed every year which lead to thousands of deaths. The most important step in skin cancer treatment is early and accurate diagnosis when the survival rate is high, and successful medical treatment is possible. But with current tools, the skin cancer diagnosis process is subject to errors and results to be inaccurate, inefficient, and not globally scalable for developing and underdeveloped countries. This research proposes, SkinScan, a novel mobile application that uses deep learning to efficiently and accurately diagnose the 7 main types of skin cancer. This application utilizes a fine-tuned EfficientNetB7 CNN model that was found to be the most optimal after a comparative analysis of ten different CNN architectures. This chosen model had the highest validation accuracy of 95% and F1 score of 0.94. SkinScan's supplemental features include self-assessment tests for skin cancer risk, protective guidelines for exposure to UV radiation, and thorough information about each of the types of skin cancers, and their symptoms and treatments. SkinScan is an all-in-one that can significantly mitigate skin-cancer rates around the world by providing early skin cancer diagnosis.
{"title":"Development of a Mobile Application for the Early Detection of Skin Cancer using Image Processing Algorithms, Transfer Learning, and AutoKeras","authors":"Samyak Shrimali","doi":"10.1109/IC2IE56416.2022.9970048","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970048","url":null,"abstract":"Skin cancer is one of the most common and dangerous types of cancer. With global ozone levels depleting and more ultraviolet radiation reaching the Earth's surface, rates of skin cancer are predicted increase rapidly. As per WHO, around 3 million cases of skin cancer are diagnosed every year which lead to thousands of deaths. The most important step in skin cancer treatment is early and accurate diagnosis when the survival rate is high, and successful medical treatment is possible. But with current tools, the skin cancer diagnosis process is subject to errors and results to be inaccurate, inefficient, and not globally scalable for developing and underdeveloped countries. This research proposes, SkinScan, a novel mobile application that uses deep learning to efficiently and accurately diagnose the 7 main types of skin cancer. This application utilizes a fine-tuned EfficientNetB7 CNN model that was found to be the most optimal after a comparative analysis of ten different CNN architectures. This chosen model had the highest validation accuracy of 95% and F1 score of 0.94. SkinScan's supplemental features include self-assessment tests for skin cancer risk, protective guidelines for exposure to UV radiation, and thorough information about each of the types of skin cancers, and their symptoms and treatments. SkinScan is an all-in-one that can significantly mitigate skin-cancer rates around the world by providing early skin cancer diagnosis.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114688169","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 : 2022-09-13DOI: 10.1109/IC2IE56416.2022.9970021
Alfredo Lorentiar Santonanda, Ricky Nathaniel, Winata Liadylova Putra, Maria Susan Anggreainy, Muhammad Danaparamita, Andika Elok Amalia
Having a plan to build or renovate a house, besides the budget, choosing a skilled craftsman is one of the determining factors. Craftsman skills are needed by customers, such as building, electronics, water, yard, mechanics, and home maintenance. By choosing the right craftsman, at least you can realize the dwelling you want. Choosing the services of a craftsman is not easy. To get a good result, it is necessary to choose the services of a skilled craftsman. The purpose of this research is to develop an application for ordering craftsmen where customers can choose skilled craftsmen by looking at the rating and performance of the craftsmen. This research also aims to help craftsmen to get customers anywhere. Because many skilled craftsmen were only known around him. The software development method used is the Waterfall method, which consists of several stages. The stages of the Waterfall method include identifying problems and needs, determining solution objectives, developing, designing applications, and verifying. Based on the results of tests conducted using the black box method, the black box method test shows that this system has no errors and can be used according to its function.
{"title":"Online Craftsman Ordering Application Development using Waterfall Methodology","authors":"Alfredo Lorentiar Santonanda, Ricky Nathaniel, Winata Liadylova Putra, Maria Susan Anggreainy, Muhammad Danaparamita, Andika Elok Amalia","doi":"10.1109/IC2IE56416.2022.9970021","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970021","url":null,"abstract":"Having a plan to build or renovate a house, besides the budget, choosing a skilled craftsman is one of the determining factors. Craftsman skills are needed by customers, such as building, electronics, water, yard, mechanics, and home maintenance. By choosing the right craftsman, at least you can realize the dwelling you want. Choosing the services of a craftsman is not easy. To get a good result, it is necessary to choose the services of a skilled craftsman. The purpose of this research is to develop an application for ordering craftsmen where customers can choose skilled craftsmen by looking at the rating and performance of the craftsmen. This research also aims to help craftsmen to get customers anywhere. Because many skilled craftsmen were only known around him. The software development method used is the Waterfall method, which consists of several stages. The stages of the Waterfall method include identifying problems and needs, determining solution objectives, developing, designing applications, and verifying. Based on the results of tests conducted using the black box method, the black box method test shows that this system has no errors and can be used according to its function.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122910646","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 : 2022-09-13DOI: 10.1109/IC2IE56416.2022.9970045
Ayu Rosyida Zain, P. Oktivasari, Maria Agustin, A. Kurniawan, Fachroni Arbi Murad, Iskandar Nurrahman
LoRaWAN was built to allow long distance communication with a low bit rate and an encrypted system using the 128bit key of Advanced Encryption Standard (AES) algorithm for the messages encryption and decryption. With the various advantages offered by LoRaWAN. However, some features of LoRa technology also bring new security weaknesses. Therefore, we propose an integration encryption method between a mobile application for IoT monitoring system and the LoRaWAN server. With this method it is able to answer security challenges in the application of IoT, but due to limited use and devices, an analysis of the performance of the LoRaWanprotocol is needed for the data encryption process carried out on an integrated smart home system based on the Android-based application. Therefore, this research is focused on analyzing the performance of the LoRaWAnprotocol for data transmission in smart home systems by considering the security of the data information sent. So as to create an IoT-based smart home system that is more efficient and remains safe when used. From the results of this study, it was found that the LoRaWAN protocol still has a vulnerability in the security of its data payload packet because it is not encrypted and this vulnerability is proven in data monitoring tests.
{"title":"Evaluation of Encryption and Decryption Data Packet Delivery Performance in Smart Home Design using the LoRaWAN Protocol","authors":"Ayu Rosyida Zain, P. Oktivasari, Maria Agustin, A. Kurniawan, Fachroni Arbi Murad, Iskandar Nurrahman","doi":"10.1109/IC2IE56416.2022.9970045","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970045","url":null,"abstract":"LoRaWAN was built to allow long distance communication with a low bit rate and an encrypted system using the 128bit key of Advanced Encryption Standard (AES) algorithm for the messages encryption and decryption. With the various advantages offered by LoRaWAN. However, some features of LoRa technology also bring new security weaknesses. Therefore, we propose an integration encryption method between a mobile application for IoT monitoring system and the LoRaWAN server. With this method it is able to answer security challenges in the application of IoT, but due to limited use and devices, an analysis of the performance of the LoRaWanprotocol is needed for the data encryption process carried out on an integrated smart home system based on the Android-based application. Therefore, this research is focused on analyzing the performance of the LoRaWAnprotocol for data transmission in smart home systems by considering the security of the data information sent. So as to create an IoT-based smart home system that is more efficient and remains safe when used. From the results of this study, it was found that the LoRaWAN protocol still has a vulnerability in the security of its data payload packet because it is not encrypted and this vulnerability is proven in data monitoring tests.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126204544","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 : 2022-09-13DOI: 10.1109/IC2IE56416.2022.9970104
Indira Alima Fasvazahra, D. Adytia, A. Simaremare
As the number of people in Indonesia grows, the need for various basic things, such as food, house, and even electricity demand also increases. Emerging technologies and increased use of electronic devices increase electrical demands. In metropolitan cities such as Jakarta and Banten, the need for electrical energy is higher due to reasonably rapid development. An accurate electricity forecasting is needed to increase the efficiency of electricity generators. This research aims to forecast the electricity load in Jakarta and Banten using the Transformer method to perform time series forecasting. We use four years electricity load dataset, ranging from January 2018 to October 2021 in Jakarta and Banten areas. We investigate the sensitivity of the method in terms of length of lookback to forecast electricity load for seven days ahead. By using the best lookback setting, we obtain the best accuracy value for prediction is with MSE of 78.35, RMSE of 8.85, and R2 of 0.994.
{"title":"Electricity Time Series Forecasting by using Transformer with Case Study in Jakarta Banten","authors":"Indira Alima Fasvazahra, D. Adytia, A. Simaremare","doi":"10.1109/IC2IE56416.2022.9970104","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970104","url":null,"abstract":"As the number of people in Indonesia grows, the need for various basic things, such as food, house, and even electricity demand also increases. Emerging technologies and increased use of electronic devices increase electrical demands. In metropolitan cities such as Jakarta and Banten, the need for electrical energy is higher due to reasonably rapid development. An accurate electricity forecasting is needed to increase the efficiency of electricity generators. This research aims to forecast the electricity load in Jakarta and Banten using the Transformer method to perform time series forecasting. We use four years electricity load dataset, ranging from January 2018 to October 2021 in Jakarta and Banten areas. We investigate the sensitivity of the method in terms of length of lookback to forecast electricity load for seven days ahead. By using the best lookback setting, we obtain the best accuracy value for prediction is with MSE of 78.35, RMSE of 8.85, and R2 of 0.994.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127774054","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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