Pub Date : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664834
Lalit Negi, Lokesh Negi
Nowadays mobile phone becoming one of the most popular communication system. Information shared through this medium is a very sensitive to the users. Hence it is highly needed to secure the message from the intruders. This paper proposed an android based secured system named Steg! developed by combining the cryptography and steganography. Here the algorithm used for cryptography is Advanced Encryption Standard (AES) and Least Significant Bit is used for the steganography. This hybrid approach increases the level of secretion of information from unauthorized the access by encrypting the message and hiding into the image. The application helps the user to hide/unhide the text to/from the image. The proposed system above is proven to be powerful and robust than those system which implements cryptography and steganography alone.
{"title":"Image Steganography Using Steg with AES and LSB","authors":"Lalit Negi, Lokesh Negi","doi":"10.1109/ICCED53389.2021.9664834","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664834","url":null,"abstract":"Nowadays mobile phone becoming one of the most popular communication system. Information shared through this medium is a very sensitive to the users. Hence it is highly needed to secure the message from the intruders. This paper proposed an android based secured system named Steg! developed by combining the cryptography and steganography. Here the algorithm used for cryptography is Advanced Encryption Standard (AES) and Least Significant Bit is used for the steganography. This hybrid approach increases the level of secretion of information from unauthorized the access by encrypting the message and hiding into the image. The application helps the user to hide/unhide the text to/from the image. The proposed system above is proven to be powerful and robust than those system which implements cryptography and steganography alone.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"29 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73323935","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664875
Amar Jukuntla, V. Dondeti
Prolonging a network lifetime in Wireless Sensor Network (WSN) is always a tedious task. All sensor nodes (SN) are covered in isolated area to monitor environmental parameters and Mobile Nodes are used to collect data from isolated areas and transmit data to destination location. Some issues are raised in WSN, while monitoring environmental parameters continuously sensor nodes are exhausted and running out of energy. For example, Cluster Head (CH) transmits data to Mobile Sink (MS) with available residual energy. This residual energy is not sufficient to transmit data to MS and CH is overloaded with other nodes information in cluster. For addressing this issue many methodologies are proposed and addressed in their extent However, all these methodologies are experienced ill effect. In this we proposed a scheme to address this issue with Rendezvous Nodes (RN) with efficient clustering algorithm to transmit data to MS. MS are mounted upon vehicles with fixed trajectory path and SN are sent to active or passive modes based on residual energy in each sensor node in the cluster. Only active nodes are operated, and remaining nodes are in passive state to save their residual energy. In this approach we can prolong network life and reduce risk of energy exhausted SN in WSN. Simulation predicts effective result compared to other approaches.
{"title":"Energy Efficiency Scheme for Wireless Sensor Network with Rendezvous Nodes and Mobile Sink","authors":"Amar Jukuntla, V. Dondeti","doi":"10.1109/ICCED53389.2021.9664875","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664875","url":null,"abstract":"Prolonging a network lifetime in Wireless Sensor Network (WSN) is always a tedious task. All sensor nodes (SN) are covered in isolated area to monitor environmental parameters and Mobile Nodes are used to collect data from isolated areas and transmit data to destination location. Some issues are raised in WSN, while monitoring environmental parameters continuously sensor nodes are exhausted and running out of energy. For example, Cluster Head (CH) transmits data to Mobile Sink (MS) with available residual energy. This residual energy is not sufficient to transmit data to MS and CH is overloaded with other nodes information in cluster. For addressing this issue many methodologies are proposed and addressed in their extent However, all these methodologies are experienced ill effect. In this we proposed a scheme to address this issue with Rendezvous Nodes (RN) with efficient clustering algorithm to transmit data to MS. MS are mounted upon vehicles with fixed trajectory path and SN are sent to active or passive modes based on residual energy in each sensor node in the cluster. Only active nodes are operated, and remaining nodes are in passive state to save their residual energy. In this approach we can prolong network life and reduce risk of energy exhausted SN in WSN. Simulation predicts effective result compared to other approaches.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"41 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89887058","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664839
D. Gustian, Muhamad Zaenal Abidin, S. Handayani, A. Hasbi, Muhammad Muslih
Covid have confirmed as pandemic global by the World Health Organization (WHO), because spread that very fast among humans. As a result of the Covid-19 virus, many infected patients died, including from all countries on the Asian continent. Like the case that occurred in one of the Asian countries, namely India, which is one of the countries that experienced a spike in Covid-19 cases, the transmission of thevirus Covid-19 in India penetrated more than 400,000 cases in 1 day. The number is the highest daily record set by India during the Covid-19 pandemic. However, it was found that the problem of the spread of Covid-19 tends to increase, this is the country with the second largest population in the world. The total number of Covid-19 cases in the country has reached 21 million or second only to the United States. The vastness of India’s territory allows the need for grouping the parts by region in India. This grouping produces the center points for the spread of Covid-19 cases. The purpose of grouping Covid-19 cases based on clusters is to find out the weight/percentage value generated from each of these clusters using the K-Means Clustering method. This method is used to map the spread of the Covid-19 virus from various regions in India based on confirmed cases, dead, recovered and active/new clusters. The benefits obtained for the government in overcoming Covid-19 cases are to create strategies to prevent the spread of Covid-19 based on information from the results of regional clustering in India The results obtained from research conducted in 38 regions in India using 4 clusters resulted in Confirmed cases (C0) 199 items, Died (C1) 779 items, Recovered (C2) 21 items, and Active/new cluster (C3) 231 items with a totalcluster of 1230items.
{"title":"Mapping Spread Virus COVID-19 in India Using K-Means Clustering","authors":"D. Gustian, Muhamad Zaenal Abidin, S. Handayani, A. Hasbi, Muhammad Muslih","doi":"10.1109/ICCED53389.2021.9664839","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664839","url":null,"abstract":"Covid have confirmed as pandemic global by the World Health Organization (WHO), because spread that very fast among humans. As a result of the Covid-19 virus, many infected patients died, including from all countries on the Asian continent. Like the case that occurred in one of the Asian countries, namely India, which is one of the countries that experienced a spike in Covid-19 cases, the transmission of thevirus Covid-19 in India penetrated more than 400,000 cases in 1 day. The number is the highest daily record set by India during the Covid-19 pandemic. However, it was found that the problem of the spread of Covid-19 tends to increase, this is the country with the second largest population in the world. The total number of Covid-19 cases in the country has reached 21 million or second only to the United States. The vastness of India’s territory allows the need for grouping the parts by region in India. This grouping produces the center points for the spread of Covid-19 cases. The purpose of grouping Covid-19 cases based on clusters is to find out the weight/percentage value generated from each of these clusters using the K-Means Clustering method. This method is used to map the spread of the Covid-19 virus from various regions in India based on confirmed cases, dead, recovered and active/new clusters. The benefits obtained for the government in overcoming Covid-19 cases are to create strategies to prevent the spread of Covid-19 based on information from the results of regional clustering in India The results obtained from research conducted in 38 regions in India using 4 clusters resulted in Confirmed cases (C0) 199 items, Died (C1) 779 items, Recovered (C2) 21 items, and Active/new cluster (C3) 231 items with a totalcluster of 1230items.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"85 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89615691","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664869
T. Mantoro, Zaenal Alamsyah, M. A. Ayu
Indonesia has many natural disasters, ranging from floods, landslides, earthquakes and other disasters. The disaster caused damage and trauma to the victims. From January 1 to December 31, 2020, natural disasters have claimed 6,203,730 victims and a total of 2,952 disasters. As disaster cases increase from year to year, volunteers and disaster response organizations begin to participate in helping disaster victims. However, problems usually occur for volunteers to easily reach and access the disaster location. Using only a 2D map is not enough to help volunteers to get to the disaster location properly, especially in rural areas that are difficult to navigate on. For this reason, it is necessary to develop a 2D map system which provides to proper route visualization. In addition, a good pathfinding algorithm is able to enhance the map to have an accurate route. In this study the pathfinding algorithms used for is sparse A* and Dijkstra’s algorithms. Then the visualization is assisted by Augmented Reality (AR) technology which can show the route that will be traversed by emergency disaster volunteers. The purpose of this study is to assist those volunteers in finding the shortest path using two algorithms and AR as a visualization of the route.
{"title":"Pathfinding for Disaster Emergency Route Using Sparse A* and Dijkstra Algorithm with Augmented Reality","authors":"T. Mantoro, Zaenal Alamsyah, M. A. Ayu","doi":"10.1109/ICCED53389.2021.9664869","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664869","url":null,"abstract":"Indonesia has many natural disasters, ranging from floods, landslides, earthquakes and other disasters. The disaster caused damage and trauma to the victims. From January 1 to December 31, 2020, natural disasters have claimed 6,203,730 victims and a total of 2,952 disasters. As disaster cases increase from year to year, volunteers and disaster response organizations begin to participate in helping disaster victims. However, problems usually occur for volunteers to easily reach and access the disaster location. Using only a 2D map is not enough to help volunteers to get to the disaster location properly, especially in rural areas that are difficult to navigate on. For this reason, it is necessary to develop a 2D map system which provides to proper route visualization. In addition, a good pathfinding algorithm is able to enhance the map to have an accurate route. In this study the pathfinding algorithms used for is sparse A* and Dijkstra’s algorithms. Then the visualization is assisted by Augmented Reality (AR) technology which can show the route that will be traversed by emergency disaster volunteers. The purpose of this study is to assist those volunteers in finding the shortest path using two algorithms and AR as a visualization of the route.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"53 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77213331","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664845
Kevin Chow Kye Ven, Adeline Ng Khai Ying, Ngoo Qi Jie, Shoo Yen Lun, Scott Lee Chuen Yuen, D. Handayani, N. Hamzah, M. Lubis, T. Mantoro
Nowadays, mental health can be defined as a primary concern with the increased awareness related to the emergence of many campaigns to keep the body remaining healthy from the aspects that may be ignored. Therefore, the signs of deterioration are not always clear to be seen. Thus, social media is a safe space where many individuals often share their inner self, true feelings and honest impression. This is especially true of one of the popular social media platforms, Twitter. This paper explores the possibility of predicting the occurrence of depression in individuals through posts made. The results of the data pre-processing will be displayed through data visualization techniques.
{"title":"Depression Identification Through Social Media Posts: Data Preprocessing for Data Visualization of Tweets","authors":"Kevin Chow Kye Ven, Adeline Ng Khai Ying, Ngoo Qi Jie, Shoo Yen Lun, Scott Lee Chuen Yuen, D. Handayani, N. Hamzah, M. Lubis, T. Mantoro","doi":"10.1109/ICCED53389.2021.9664845","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664845","url":null,"abstract":"Nowadays, mental health can be defined as a primary concern with the increased awareness related to the emergence of many campaigns to keep the body remaining healthy from the aspects that may be ignored. Therefore, the signs of deterioration are not always clear to be seen. Thus, social media is a safe space where many individuals often share their inner self, true feelings and honest impression. This is especially true of one of the popular social media platforms, Twitter. This paper explores the possibility of predicting the occurrence of depression in individuals through posts made. The results of the data pre-processing will be displayed through data visualization techniques.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"31 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87679571","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664857
Agatha Silvani Sekarningtyas, M. A. Ayu, T. Mantoro
Social media is an application or website-based system that enables users to create and share content or participate in social networking that allows its user to share their thoughts, opinions, or feelings that represent their personality. At present several studies to classify an individual's personality through social media have been developed, especially on social media Twitter. However, most of the analysis on Twitter only uses text based data such as posted tweets. This research presents a study on analyzing the users’ twitter data to classify their types of personality based on Big Five Theory by using their social statistic data. The data were acquired using Twitter API which was taken from Indonesian users with the total of 225 data. This study shows that using K-Nearest Neighbor (K-NN) Algorithm for classification of these data were not resulting in high accuracy. However, this study has shown that amount and balance distribution of training data critically contribute to the performance of classification process.
{"title":"Using K-Nearest Neighbor Algorithm for Personality Classification of Twitter’s Users Based on the Big Five Theory","authors":"Agatha Silvani Sekarningtyas, M. A. Ayu, T. Mantoro","doi":"10.1109/ICCED53389.2021.9664857","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664857","url":null,"abstract":"Social media is an application or website-based system that enables users to create and share content or participate in social networking that allows its user to share their thoughts, opinions, or feelings that represent their personality. At present several studies to classify an individual's personality through social media have been developed, especially on social media Twitter. However, most of the analysis on Twitter only uses text based data such as posted tweets. This research presents a study on analyzing the users’ twitter data to classify their types of personality based on Big Five Theory by using their social statistic data. The data were acquired using Twitter API which was taken from Indonesian users with the total of 225 data. This study shows that using K-Nearest Neighbor (K-NN) Algorithm for classification of these data were not resulting in high accuracy. However, this study has shown that amount and balance distribution of training data critically contribute to the performance of classification process.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"5 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82463806","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664850
Mega Silfiana, Clara Hetty Primasari, Putri Nastiti, Yohanes Priadi Wibisono, Aloysius Bagas Pradipta Irianto, Elisabeth Marsella
Effectiveness is the main element in achieving the goals and targets that have been targeted in every organization or agency. Something is said to be effective if it achieves the objectives that have been set. During the use of SIAK in Department of Population and Civil Registration of Melawi Regency, there were still many shortcomings and obstacles. Therefore, analysis about this system’s effectiveness should be done. The method used in this research was the DeLone and McLean Information System Success Model. The population in this study were employees who had the authority to use SIAK at the Department of Population and Civil Registration of Melawi Regency. Data collection techniques were carried out by distributing questionnaires and conducting interviews. This study obtained the results that there were deficiencies in SIAK, especially in system quality, information quality and service quality which have no significant effect on the usage. This shows that the three variables still need to be improved and optimized so that the use of SIAK can be more effective.
有效性是实现每个组织或机构所确定的目标和指标的主要因素。如果某件事达到了设定的目标，我们就说它是有效的。在马拉维摄政王人口与民事登记司使用SIAK的过程中，仍然存在许多不足和障碍。因此，有必要对该系统的有效性进行分析。本研究采用的方法是DeLone and McLean信息系统成功模型。本研究的人群是有权使用SIAK的马来威县人口和民事登记部门的雇员。数据收集技术是通过分发问卷和进行访谈来进行的。本研究得出SIAK存在不足，特别是在系统质量、信息质量和服务质量方面，对使用没有显著影响。这表明，这三个变量仍然需要改进和优化，以使SIAK的使用更有效。
{"title":"Analysis of the Effectiveness on SIAK (Population Administration Information System) Use at Melawi Regency","authors":"Mega Silfiana, Clara Hetty Primasari, Putri Nastiti, Yohanes Priadi Wibisono, Aloysius Bagas Pradipta Irianto, Elisabeth Marsella","doi":"10.1109/ICCED53389.2021.9664850","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664850","url":null,"abstract":"Effectiveness is the main element in achieving the goals and targets that have been targeted in every organization or agency. Something is said to be effective if it achieves the objectives that have been set. During the use of SIAK in Department of Population and Civil Registration of Melawi Regency, there were still many shortcomings and obstacles. Therefore, analysis about this system’s effectiveness should be done. The method used in this research was the DeLone and McLean Information System Success Model. The population in this study were employees who had the authority to use SIAK at the Department of Population and Civil Registration of Melawi Regency. Data collection techniques were carried out by distributing questionnaires and conducting interviews. This study obtained the results that there were deficiencies in SIAK, especially in system quality, information quality and service quality which have no significant effect on the usage. This shows that the three variables still need to be improved and optimized so that the use of SIAK can be more effective.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"60 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78129998","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664836
Edward, A. Hidayanto, Rahmat M. Samik-Ibrahim
Technology becomes a common part of human activities and helps humans work. The wearable device, such as a smartwatch, is one of the applied technologies worn as accessories or embedded in clothing. This study will discuss the analysis of the determinant factors that influence smartwatch adoption intentions in technological and human factors. The technological factor that influences the user’s acceptance of technology is examined using Unified Theory of Acceptance and Use of Technology (UTAUT). Meanwhile, the human factor that consists of the image and the personal innovativeness factor will be analyzed using the Theory of Planned Behavior (TPB). Then, this study applies the Technology Acceptance Model (TAM) to determine whether the factors used in this study positively affect smartwatch adoption intentions and the data will be analyzed using the statistical technique of Structural Equation Modeling (SEM). We found that Perceived informativeness, image (social status), and personal innovativeness are significantly affecting perceived usefulness. Furthermore, perceived ease of use also has significantly affected the perceived usefulness. The result also shows that perceived usefulness has a significant influence on smartwatch adoption (adoption intention). We also identify several priority strategies to increase the smartwatch adoption.
{"title":"Analysis of Factors Affecting Adoption Intention on Smartwatch Adoption in Human and Technology Factor Perspective","authors":"Edward, A. Hidayanto, Rahmat M. Samik-Ibrahim","doi":"10.1109/ICCED53389.2021.9664836","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664836","url":null,"abstract":"Technology becomes a common part of human activities and helps humans work. The wearable device, such as a smartwatch, is one of the applied technologies worn as accessories or embedded in clothing. This study will discuss the analysis of the determinant factors that influence smartwatch adoption intentions in technological and human factors. The technological factor that influences the user’s acceptance of technology is examined using Unified Theory of Acceptance and Use of Technology (UTAUT). Meanwhile, the human factor that consists of the image and the personal innovativeness factor will be analyzed using the Theory of Planned Behavior (TPB). Then, this study applies the Technology Acceptance Model (TAM) to determine whether the factors used in this study positively affect smartwatch adoption intentions and the data will be analyzed using the statistical technique of Structural Equation Modeling (SEM). We found that Perceived informativeness, image (social status), and personal innovativeness are significantly affecting perceived usefulness. Furthermore, perceived ease of use also has significantly affected the perceived usefulness. The result also shows that perceived usefulness has a significant influence on smartwatch adoption (adoption intention). We also identify several priority strategies to increase the smartwatch adoption.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"32 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85328457","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664851
D. U. Daihani
Indonesia is one of the world's most populous archipelagic countries. Approximately 270 million people live on a total of 17 845 islands that straddle the middle of the equator. Indonesia is also a multi-ethnic country, having 931 ethnic groupings and 731 distinct dialects. The globe and geopolitics tensions are highly dynamic in the current period of globalization, and changes in one state will influence other countries. As a consequence, changes in a state's strategic environment might have an impact on its stability. These surroundings' influence can have a good impact or improve internal stability, but it can also have negative consequences that endanger internal stability. A state's resilience is determined by the flexibility of all elements of its sociopolitical existence, which is referred to as national resilience. In general, national resilience is described as an organization's capacity to foresee, plan for, respond to, and adapt to gradual change and abrupt shocks in order to survive and thrive. The application of national resilience index measurement is created utilizing the GIS method to determine the state of national resilience. This system is extremely beneficial for undertaking a diagnostic of national resilience conditions and changes in each region at all times. By evaluating national resilience, various strategies may be developed to anticipate diverse environmental effects. This technology may also be used to forecast future situations and generate multiple scenarios for countermeasures using a dynamic system approach.
{"title":"National Resilience Index Model and Public Policy Simulation","authors":"D. U. Daihani","doi":"10.1109/ICCED53389.2021.9664851","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664851","url":null,"abstract":"Indonesia is one of the world's most populous archipelagic countries. Approximately 270 million people live on a total of 17 845 islands that straddle the middle of the equator. Indonesia is also a multi-ethnic country, having 931 ethnic groupings and 731 distinct dialects. The globe and geopolitics tensions are highly dynamic in the current period of globalization, and changes in one state will influence other countries. As a consequence, changes in a state's strategic environment might have an impact on its stability. These surroundings' influence can have a good impact or improve internal stability, but it can also have negative consequences that endanger internal stability. A state's resilience is determined by the flexibility of all elements of its sociopolitical existence, which is referred to as national resilience. In general, national resilience is described as an organization's capacity to foresee, plan for, respond to, and adapt to gradual change and abrupt shocks in order to survive and thrive. The application of national resilience index measurement is created utilizing the GIS method to determine the state of national resilience. This system is extremely beneficial for undertaking a diagnostic of national resilience conditions and changes in each region at all times. By evaluating national resilience, various strategies may be developed to anticipate diverse environmental effects. This technology may also be used to forecast future situations and generate multiple scenarios for countermeasures using a dynamic system approach.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"25 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73974891","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664882
Muhammad Dava Renaldi, Muhamad Rausyan Fikri, Djati Wibowo Djamari
This research proposes an orientation control algorithm for unmanned aerial vehicle (UAV) type quadcopter for entertainment uses such as photoshoot and video vlogging. The algorithm consists of face detection, feature extraction, face recognition, and face tracking. There are two experiments designed in this study. The first experiment is used to determine the adaptability of the face recognition algorithm. The second experiment is used to measure the difference between the desired orientation and the actual orientation. The experimental result shows that the proposed algorithm is adaptable. However, there are still several improvements needed such as the recognition performance and orientation accuracy. In conclusion, the current constructed algorithm is promising for further development.
{"title":"Mini UAV Orientation Control based on Face Tracking Algorithm","authors":"Muhammad Dava Renaldi, Muhamad Rausyan Fikri, Djati Wibowo Djamari","doi":"10.1109/ICCED53389.2021.9664882","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664882","url":null,"abstract":"This research proposes an orientation control algorithm for unmanned aerial vehicle (UAV) type quadcopter for entertainment uses such as photoshoot and video vlogging. The algorithm consists of face detection, feature extraction, face recognition, and face tracking. There are two experiments designed in this study. The first experiment is used to determine the adaptability of the face recognition algorithm. The second experiment is used to measure the difference between the desired orientation and the actual orientation. The experimental result shows that the proposed algorithm is adaptable. However, there are still several improvements needed such as the recognition performance and orientation accuracy. In conclusion, the current constructed algorithm is promising for further development.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"34 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75154122","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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