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}
Pub Date : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664856
Fadel Mohammad Farma, Kevinaldo Barevan, Ibrahim Tarigan, Riri Fitri Sari
Sentiment analysis is an activity carried out to evaluate the level of public sentiment or public opinion related to something. This work observes the sentiment raised for Xbox Series X and PS5 on Twitter before the pre-launching date in Indonesia. The data itself is in the form of tweets from Indonesian people. We used Python for data scraping on Twitter API for September to November 2020 tweets. In this paper we do several methods for pre-processing such as data cleaning, transformation, reduction and implementation of machine learning such as Naïve Bayes and KNN algorithm, we tried to collect and classified the sentiment value for each tweet and performed the sentiment analysis. The result of this work shows the sentiment of Indonesian for both video game console before their release date. We compare both machine learning model to show that Naïve Bayes model is the best for this case.
情绪分析是一种评估与某事相关的公众情绪或舆论水平的活动。这项研究观察了Xbox Series X和PS5在印度尼西亚发布前在Twitter上的情绪。数据本身是印尼人的推文形式。我们使用Python在Twitter API上抓取2020年9月至11月的推文数据。在本文中，我们做了几种预处理方法，如数据清洗、转换、约简和机器学习的实现，如Naïve贝叶斯和KNN算法，我们试图收集和分类每条推文的情感值，并进行情感分析。这项工作的结果显示了印尼人对这两款视频游戏机在发布日期之前的情绪。我们比较了两种机器学习模型，结果表明Naïve贝叶斯模型最适合这种情况。
{"title":"Sentiment Analysis of Video Game Console Pre-launching Tweets Using Python","authors":"Fadel Mohammad Farma, Kevinaldo Barevan, Ibrahim Tarigan, Riri Fitri Sari","doi":"10.1109/ICCED53389.2021.9664856","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664856","url":null,"abstract":"Sentiment analysis is an activity carried out to evaluate the level of public sentiment or public opinion related to something. This work observes the sentiment raised for Xbox Series X and PS5 on Twitter before the pre-launching date in Indonesia. The data itself is in the form of tweets from Indonesian people. We used Python for data scraping on Twitter API for September to November 2020 tweets. In this paper we do several methods for pre-processing such as data cleaning, transformation, reduction and implementation of machine learning such as Naïve Bayes and KNN algorithm, we tried to collect and classified the sentiment value for each tweet and performed the sentiment analysis. The result of this work shows the sentiment of Indonesian for both video game console before their release date. We compare both machine learning model to show that Naïve Bayes model is the best for this case.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"1957 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":"91226625","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/ICCED53389.2021.9664878
Meyliana, Surjandy, Erick Fernando, Henry Antonius Eka Widjaja, Cadelina Cassandra, Arifa Tan
The problem of counterfeit vehicle parts still exists until now. Currently, companies are still looking for ways to handle it. Counterfeit parts are detrimental to customers, but if it used for vehicles, they could cause serious problems such as death. The problem of counterfeit spare parts has a broad impact, including country losses. Research on counterfeit spare parts has been carried out in various countries. A technology called Blockchain which developed in 2014 with the smart contract, can trace and track goods. Previous research was more theoretical. Therefore, this study aims to test or simulate blockchain technology (multichain) to trace and track spare parts in vehicle repair shops and shows how to record spare part information into the Blockchain. The research was conducted qualitatively by performing simulations and simulation results as well as validation for the research conducted on four experts, so this study could show how vehicle spare parts were recorded. The movement of vehicle parts starts from suppliers to workshops or warehouses. This study proves that blockchain technology can be used for component tracking and tracing so that the distribution of counterfeit spare parts can be minimized.
{"title":"Vehicle Parts Tracking on Warehouse to Prevent Spare Parts Counterfeiting in Car Service Station","authors":"Meyliana, Surjandy, Erick Fernando, Henry Antonius Eka Widjaja, Cadelina Cassandra, Arifa Tan","doi":"10.1109/ICCED53389.2021.9664878","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664878","url":null,"abstract":"The problem of counterfeit vehicle parts still exists until now. Currently, companies are still looking for ways to handle it. Counterfeit parts are detrimental to customers, but if it used for vehicles, they could cause serious problems such as death. The problem of counterfeit spare parts has a broad impact, including country losses. Research on counterfeit spare parts has been carried out in various countries. A technology called Blockchain which developed in 2014 with the smart contract, can trace and track goods. Previous research was more theoretical. Therefore, this study aims to test or simulate blockchain technology (multichain) to trace and track spare parts in vehicle repair shops and shows how to record spare part information into the Blockchain. The research was conducted qualitatively by performing simulations and simulation results as well as validation for the research conducted on four experts, so this study could show how vehicle spare parts were recorded. The movement of vehicle parts starts from suppliers to workshops or warehouses. This study proves that blockchain technology can be used for component tracking and tracing so that the distribution of counterfeit spare parts can be minimized.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"30 4 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":"83540352","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/ICCED53389.2021.9664837
K. Rosalin, Y. Ying, Mariska, Venny Aryanti
Web-based games as learning media could be used in Mandarin vocabulary learning. This study investigates the effect of using web-based games on Mandarin vocabulary learning. This research applied an experimental study. The results show that by using web-based games on Mandarin vocabulary learning, student's learning outcomes and student's enthusiasm for learning get better, and student scores increase between 5.7% to 17.1%. The concept of customizable web-based games can be used as a supporting learning media for teachers and students, it helps teachers in providing creative and fun assignments for students and the web-based game also can be used by students as an additional learning media to learn Mandarin vocabulary independently.
{"title":"Using Web-Based Games to Improve Mandarin Vocabulary Learning","authors":"K. Rosalin, Y. Ying, Mariska, Venny Aryanti","doi":"10.1109/ICCED53389.2021.9664837","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664837","url":null,"abstract":"Web-based games as learning media could be used in Mandarin vocabulary learning. This study investigates the effect of using web-based games on Mandarin vocabulary learning. This research applied an experimental study. The results show that by using web-based games on Mandarin vocabulary learning, student's learning outcomes and student's enthusiasm for learning get better, and student scores increase between 5.7% to 17.1%. The concept of customizable web-based games can be used as a supporting learning media for teachers and students, it helps teachers in providing creative and fun assignments for students and the web-based game also can be used by students as an additional learning media to learn Mandarin vocabulary independently.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"211 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":"80669964","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/ICCED53389.2021.9664880
Ala Hag, D. Handayani, T. Pillai, T. Mantoro, M. H. Kit, Fares Al-Shargie
Mental stress is a world’s apprising issue due to its impact on health and the economy. Chronic stress negatively affects human cognitive abilities and decision-making. To avoid its serious consequences, it is paramount important to detect it at an early stage. In this study, we assessed the levels of stress on 28 healthy subjects by utilizing an Electroencephalogram (EEG) of a single channel and machine learning approach. The EEG signals were analyzed by extracting 20 features from the time and frequency domains. The optimum features were, then, selected using decision trees of information gain. Consequently, we classified the levels of stress using support vector machines (SVM) classifier with a GRID Search optimizer. The proposed feature selection method results in a 66% reduction of feature vector space and achieved an accuracy of 86% using the optimized SVM classifier. Our result demonstrates the effectiveness of the proposed method for the development of real-life stress applications.
{"title":"A wearable single EEG channel analysis for mental stress state detection","authors":"Ala Hag, D. Handayani, T. Pillai, T. Mantoro, M. H. Kit, Fares Al-Shargie","doi":"10.1109/ICCED53389.2021.9664880","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664880","url":null,"abstract":"Mental stress is a world’s apprising issue due to its impact on health and the economy. Chronic stress negatively affects human cognitive abilities and decision-making. To avoid its serious consequences, it is paramount important to detect it at an early stage. In this study, we assessed the levels of stress on 28 healthy subjects by utilizing an Electroencephalogram (EEG) of a single channel and machine learning approach. The EEG signals were analyzed by extracting 20 features from the time and frequency domains. The optimum features were, then, selected using decision trees of information gain. Consequently, we classified the levels of stress using support vector machines (SVM) classifier with a GRID Search optimizer. The proposed feature selection method results in a 66% reduction of feature vector space and achieved an accuracy of 86% using the optimized SVM classifier. Our result demonstrates the effectiveness of the proposed method for the development of real-life stress applications.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"19 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":"75227488","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/ICCED53389.2021.9664835
S. Hamali, B. Chandra, Kevin Juwono, Soraya Rahma Chaira Nelwan
This study aims to identify the nature of the highest level of risk, identify the risk cause that should be a priority for the business, and identify the proper risk reduction strategy in the fashion company’s supply chain. The data analysis method uses the Interpretive Structural Modeling (ISM) method, then the Risk Priority Number (RPN) and the Risk Reduction Number (RMN) are used to complete them. The result of this research is that the forecast error is the type of risk with the highest level. The source of the risk, which must be a priority for the company, is that suppliers do not ship the goods on time. The most appropriate risk mitigation strategy is to add manufacturer options to overcome these risks. The results show that the methods used help top management identify, analyze, prioritize risks in the company’s supply chain activities and help them to focus on formulating effective mitigation strategies.
{"title":"Risk Analysis and Mitigation in Supply Chain Fashion Company","authors":"S. Hamali, B. Chandra, Kevin Juwono, Soraya Rahma Chaira Nelwan","doi":"10.1109/ICCED53389.2021.9664835","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664835","url":null,"abstract":"This study aims to identify the nature of the highest level of risk, identify the risk cause that should be a priority for the business, and identify the proper risk reduction strategy in the fashion company’s supply chain. The data analysis method uses the Interpretive Structural Modeling (ISM) method, then the Risk Priority Number (RPN) and the Risk Reduction Number (RMN) are used to complete them. The result of this research is that the forecast error is the type of risk with the highest level. The source of the risk, which must be a priority for the company, is that suppliers do not ship the goods on time. The most appropriate risk mitigation strategy is to add manufacturer options to overcome these risks. The results show that the methods used help top management identify, analyze, prioritize risks in the company’s supply chain activities and help them to focus on formulating effective mitigation strategies.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"17 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":"72664506","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/ICCED53389.2021.9664859
Gina Purnama Insany, M. A. Ayu, T. Mantoro
Indoor Positioning System (IPS) can determine someone’s position inside a building. The common method used is implemented by Wi-Fi signal strength analyzing because WLAN/IEEE 802.11 is almost available anywhere and can be easily integrated with a smartphone. However, Wi-Fi access for indoor localization has problems in signal transmission. It is difficult to determine the presence of user indoor location due to the constantly changing Wi-Fi access point signal. In this study, measured signal strength (Receive Signal Strength/RSS) data from several different access points (Aps) in level 1 and 6 of Nusa Putra University. RSS recorded by Wi-Fi netgear and data processing is done using Google Colab. The training data and testing data are processed using the machine learning techniques such as k-Nearest Neighbor (k-NN), Decision Tree and SVM models. The implementation of results with the WLAN method are expected to improve the accuracy values for indoor user locations. k-NN with k=3 has the optimum accuracy (93%) and the smallest error rate (0.15) while SVM has the smallest accuracy (60%) and the largest error rate (0.8).
{"title":"Using Machine Learning Techniques and Wi-Fi Signal Strength for Determining Indoor User Location","authors":"Gina Purnama Insany, M. A. Ayu, T. Mantoro","doi":"10.1109/ICCED53389.2021.9664859","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664859","url":null,"abstract":"Indoor Positioning System (IPS) can determine someone’s position inside a building. The common method used is implemented by Wi-Fi signal strength analyzing because WLAN/IEEE 802.11 is almost available anywhere and can be easily integrated with a smartphone. However, Wi-Fi access for indoor localization has problems in signal transmission. It is difficult to determine the presence of user indoor location due to the constantly changing Wi-Fi access point signal. In this study, measured signal strength (Receive Signal Strength/RSS) data from several different access points (Aps) in level 1 and 6 of Nusa Putra University. RSS recorded by Wi-Fi netgear and data processing is done using Google Colab. The training data and testing data are processed using the machine learning techniques such as k-Nearest Neighbor (k-NN), Decision Tree and SVM models. The implementation of results with the WLAN method are expected to improve the accuracy values for indoor user locations. k-NN with k=3 has the optimum accuracy (93%) and the smallest error rate (0.15) while SVM has the smallest accuracy (60%) and the largest error rate (0.8).","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"49 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":"77566182","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/ICCED53389.2021.9664874
Paikun, Reffy W Andriani, Faldi Destaman, Dede Winardi, Bambang Jatmika
Roads in hilly areas with relatively complex geographic and topographical conditions, difficult terrain, non-standard road geometries, causing not all areas to be well connected, and causing low regional accessibility, therefore determining the road geometry is very important for driving comfort. Road geometric planning is focused on horizontal and vertical alignment so that it can fulfill basic road functions that provide optimal traffic flow comfort according to the planned speed. This study aims to determine the geometric standard of roads in hilly areas using a combination of conventional and BIM methods, identify road geometries that do not meet the standards, then redesign them. It is known that there are some geometric points of the road that do not meet the horizontal and vertical alignments, so it needs to be rearranged. The results of the analysis and rearrangement in this study can be used as a reference for road geometric improvements so that accessibility between regions can be improved.
{"title":"Analysis Of Road Geometric Standards In Hilling Areas Using Bim","authors":"Paikun, Reffy W Andriani, Faldi Destaman, Dede Winardi, Bambang Jatmika","doi":"10.1109/ICCED53389.2021.9664874","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664874","url":null,"abstract":"Roads in hilly areas with relatively complex geographic and topographical conditions, difficult terrain, non-standard road geometries, causing not all areas to be well connected, and causing low regional accessibility, therefore determining the road geometry is very important for driving comfort. Road geometric planning is focused on horizontal and vertical alignment so that it can fulfill basic road functions that provide optimal traffic flow comfort according to the planned speed. This study aims to determine the geometric standard of roads in hilly areas using a combination of conventional and BIM methods, identify road geometries that do not meet the standards, then redesign them. It is known that there are some geometric points of the road that do not meet the horizontal and vertical alignments, so it needs to be rearranged. The results of the analysis and rearrangement in this study can be used as a reference for road geometric improvements so that accessibility between regions can be improved.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"26 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":"74034433","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/ICCED53389.2021.9664868
T. Mantoro, Meita Merdianti, M. A. Ayu
Issue on Papua has long been one of highlighted matters for the Indonesian government. Discussions on such issue have been continuously going on not only in the government level but also in the general public. Social media, in this case Twitter, becomes one of the platforms where people’s expressing their view on this issue. This paper focuses on sentiment analysis to compare three related keywords namely "Papua Merdeka (Free Papua)", "Papua bagian Indonesia (Papua part of Indonesia)", and "Otsus Papua" using Twitter data to determine the classification of tweets accurately, whether positive, negative, or neutral. Sentiment analysis of tweets from Twitter uses the Naïve Bayes Multinomial algorithm. This paper provides an analysis of how the community reacts and their opinions on the data obtained, comparisons of public opinion via Twitter social media from 2018 to 30 September 2021 for consideration, and the extent to which the Indonesian government has tried to maximize development and improve services for the people in the Papua region.
{"title":"Sentiment Analysis of the Papuan Movement on Twitter Using Naïve Bayes Algorithm","authors":"T. Mantoro, Meita Merdianti, M. A. Ayu","doi":"10.1109/ICCED53389.2021.9664868","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664868","url":null,"abstract":"Issue on Papua has long been one of highlighted matters for the Indonesian government. Discussions on such issue have been continuously going on not only in the government level but also in the general public. Social media, in this case Twitter, becomes one of the platforms where people’s expressing their view on this issue. This paper focuses on sentiment analysis to compare three related keywords namely \"Papua Merdeka (Free Papua)\", \"Papua bagian Indonesia (Papua part of Indonesia)\", and \"Otsus Papua\" using Twitter data to determine the classification of tweets accurately, whether positive, negative, or neutral. Sentiment analysis of tweets from Twitter uses the Naïve Bayes Multinomial algorithm. This paper provides an analysis of how the community reacts and their opinions on the data obtained, comparisons of public opinion via Twitter social media from 2018 to 30 September 2021 for consideration, and the extent to which the Indonesian government has tried to maximize development and improve services for the people in the Papua region.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"1 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":"88660187","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/ICCED53389.2021.9664840
I. H. Kusumah, Paiz Ilham Mauludi, Anggy Pradiftha Junfithrana, Edwinanto
Falling is a human movement that can cause injury, either minor injury or serious injury can even cause someone’s death. Age is one of the causes of a person’s decline in movement. When elderly people experience falls, they experience not only physical but also psychological disorders such as loss of self-esteem and feelings of fear of walking to avoid the danger of falling. if emergency treatment arrives too late, a fall injury can result in disability, paralysis, and even death. The objectives are to develop tools and applications that can detect the fall of a person. The Method uses wearable fall detection with a simple belt design that implements a threshold-based detection algorithm that uses accelerometer and gyroscope sensors and can also be monitored through an application installed on an Android smartphone. The Results of the data that has been tested can be obtained with an accuracy value of 85%, a sensitivity value of 77%, and a specificity value of 100%. This device is very promising and being developed at the Sukabumi nursing home. The injuries suffered by falling victims will be slightly minimized because when someone falls it will be detected by the surrounding family so that the victim will be evacuated immediately.
{"title":"Wearable Fall Detection for Elderly with Simple Belt Design Using Android Application","authors":"I. H. Kusumah, Paiz Ilham Mauludi, Anggy Pradiftha Junfithrana, Edwinanto","doi":"10.1109/ICCED53389.2021.9664840","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664840","url":null,"abstract":"Falling is a human movement that can cause injury, either minor injury or serious injury can even cause someone’s death. Age is one of the causes of a person’s decline in movement. When elderly people experience falls, they experience not only physical but also psychological disorders such as loss of self-esteem and feelings of fear of walking to avoid the danger of falling. if emergency treatment arrives too late, a fall injury can result in disability, paralysis, and even death. The objectives are to develop tools and applications that can detect the fall of a person. The Method uses wearable fall detection with a simple belt design that implements a threshold-based detection algorithm that uses accelerometer and gyroscope sensors and can also be monitored through an application installed on an Android smartphone. The Results of the data that has been tested can be obtained with an accuracy value of 85%, a sensitivity value of 77%, and a specificity value of 100%. This device is very promising and being developed at the Sukabumi nursing home. The injuries suffered by falling victims will be slightly minimized because when someone falls it will be detected by the surrounding family so that the victim will be evacuated immediately.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"14 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":"81970462","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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