Pub Date : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415787
A. Erfina, Aidah Sri Tamanin, Listianawati, Falentino Sembiring, Sudin Saepudin, Melawati, C.S.A. Teddy Lesmana
Product reviews on e-commerce become very important for prospective buyers to determine the items to be bought. Unfortunately, the results of the product reviews are not accurate because of the meaningful reviews of sarcasm. Sarcasm is a form of intelligent speech where the speaker or writer says or writes the opposite of the meaning. Reviewers sometimes give 5 stars review but are accompanied by negative comments with the intention of being sarcastic. The number of reviews continues to grow so it is very difficult to make limits to classify whether the number of product reviews is positive or negative. Thus, the use of the Fuzzy Mamdani method is very important to determine the value of the majority of sentiments. This study presents a new approach to the field of sarcasm detection by combining the methods of sentiment analysis and Fuzzy Mamdani by comparing the allegedly sarcastic reviews of reviews from other buyers of similar products. The results of this study indicate that the greater the difference between positive and negative reviews, the greater the review is negative.
{"title":"New Approach of Sarcasm Detection In Indonesian Marketplace Product Review","authors":"A. Erfina, Aidah Sri Tamanin, Listianawati, Falentino Sembiring, Sudin Saepudin, Melawati, C.S.A. Teddy Lesmana","doi":"10.1109/ICCED51276.2020.9415787","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415787","url":null,"abstract":"Product reviews on e-commerce become very important for prospective buyers to determine the items to be bought. Unfortunately, the results of the product reviews are not accurate because of the meaningful reviews of sarcasm. Sarcasm is a form of intelligent speech where the speaker or writer says or writes the opposite of the meaning. Reviewers sometimes give 5 stars review but are accompanied by negative comments with the intention of being sarcastic. The number of reviews continues to grow so it is very difficult to make limits to classify whether the number of product reviews is positive or negative. Thus, the use of the Fuzzy Mamdani method is very important to determine the value of the majority of sentiments. This study presents a new approach to the field of sarcasm detection by combining the methods of sentiment analysis and Fuzzy Mamdani by comparing the allegedly sarcastic reviews of reviews from other buyers of similar products. The results of this study indicate that the greater the difference between positive and negative reviews, the greater the review is negative.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130097611","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415788
Wahid Nurfiantara, Muhamad Alam Pasirulloh, S. Hendra, W. Tri, M. R. Shihab
There is a phenomenon of successful and failed startup build by college students. While universities trying to support their innovation with business incubator program. The incubate program facilitates, accompany, and prepare their new business model to be able to compete in the market. With the demographic of students proposed as a tenant in the incubator program, the report found they are the generation that savvy with technology. Four quadrants used to understand the respective roles of IT Leadership which are support, factory, turnaround, and strategic. With that viewpoint, this initial research aimed to find out the IT leadership perception of the tenant. Survey conducted on the alumni of the incubator program. The open-ended question included in the questionnaire, profile of the tenant, news, and website added as our analytical material to get more insight. The results of this study indicate the tendency of startup business patterns based on questionnaire indicators, namely the turnaround quadrant with the total value of 2.286, Factory with value 1.714, strategic 1.429 and support 0.786. These results indicate that the role of IT in startup business incubators is used to search for new potential business models and innovation to develop new products or services. While most of the respondents have a perception of IT leadership for long term strategic vision.
{"title":"How Startup Stance IT Leadership: Case Study Business Incubator Program Universitas Indonesia","authors":"Wahid Nurfiantara, Muhamad Alam Pasirulloh, S. Hendra, W. Tri, M. R. Shihab","doi":"10.1109/ICCED51276.2020.9415788","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415788","url":null,"abstract":"There is a phenomenon of successful and failed startup build by college students. While universities trying to support their innovation with business incubator program. The incubate program facilitates, accompany, and prepare their new business model to be able to compete in the market. With the demographic of students proposed as a tenant in the incubator program, the report found they are the generation that savvy with technology. Four quadrants used to understand the respective roles of IT Leadership which are support, factory, turnaround, and strategic. With that viewpoint, this initial research aimed to find out the IT leadership perception of the tenant. Survey conducted on the alumni of the incubator program. The open-ended question included in the questionnaire, profile of the tenant, news, and website added as our analytical material to get more insight. The results of this study indicate the tendency of startup business patterns based on questionnaire indicators, namely the turnaround quadrant with the total value of 2.286, Factory with value 1.714, strategic 1.429 and support 0.786. These results indicate that the role of IT in startup business incubators is used to search for new potential business models and innovation to develop new products or services. While most of the respondents have a perception of IT leadership for long term strategic vision.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130271732","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415798
Somantri, Rizki Fauzi Ridwanullah, Hendra, D. Safitri
Indonesia is one of country with the highest number of smokers in Association of Southeast Asian Nations (ASEAN), 65.19 million people. This figure is equivalent to 34 % of the total population of Indonesia in 2016. There is a campaign to stop smoking in public places or Non-Smoking Areas because smoke can harm people. But some people violate and still smoke in Nonsmoking areas such as in Campus, School, or hospital. The Indonesian government has arranged forbidden places to smoke according to the Law of the Republic of Indonesia No.36 of 2009. Therefore a monitoring system is needed to detect offenders who smoke in no-smoking areas. Cigarette smoke detection system has made based on internet of face recognition and artificial intelligence technologies. This smoke detection system has designed using a raspberry pi B+, a gas sensor (MQ-2), GPS and camera, and data communication. We need an internet connection via WiFi or Ethernet to transfer data to the database server. When the Sensor releases the cigarette immediately, the system will send a notification to the administrator. The system also sends location and photos of smokers. The system will process and identify the smoker's identity. This system is expected to be implemented to support the smart city or smart campus.
{"title":"Cigarette Smoke Detection System for Non-Smoking Areas Based on IoT and Face Recognition","authors":"Somantri, Rizki Fauzi Ridwanullah, Hendra, D. Safitri","doi":"10.1109/ICCED51276.2020.9415798","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415798","url":null,"abstract":"Indonesia is one of country with the highest number of smokers in Association of Southeast Asian Nations (ASEAN), 65.19 million people. This figure is equivalent to 34 % of the total population of Indonesia in 2016. There is a campaign to stop smoking in public places or Non-Smoking Areas because smoke can harm people. But some people violate and still smoke in Nonsmoking areas such as in Campus, School, or hospital. The Indonesian government has arranged forbidden places to smoke according to the Law of the Republic of Indonesia No.36 of 2009. Therefore a monitoring system is needed to detect offenders who smoke in no-smoking areas. Cigarette smoke detection system has made based on internet of face recognition and artificial intelligence technologies. This smoke detection system has designed using a raspberry pi B+, a gas sensor (MQ-2), GPS and camera, and data communication. We need an internet connection via WiFi or Ethernet to transfer data to the database server. When the Sensor releases the cigarette immediately, the system will send a notification to the administrator. The system also sends location and photos of smokers. The system will process and identify the smoker's identity. This system is expected to be implemented to support the smart city or smart campus.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"29 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125816470","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415847
Dianing Novita Nurmala Putri, Andrie Syatriawan, F. Rizanulhaq, Tyas Kartika, M. Widjaja, Nazmia Kurniawati
Despite the high solar energy potential in Indonesia, the number of installed photovoltaic (PV) rooftop is relatively small. To improve the development, the Indonesian government initiate some regulations such as the Ministry of Energy and Mineral Resources (MEMR) policy No. 49/2018 that advertised the 65% incentive and No.16/2019 that remove the cost for parallel capacity and parallel operation for industry customers. However, the number is still far away from the target set by the government. By calculating the techno-economic parameters based on the MEMR tariff regulation No.28/2016 and the Incentive given by the government as per regulation MEMR policy No.49/2018, this paper aims to shows the implementation of the regulation for two different tariff groups such as commercial and residential so that it can be used as a references to improve the policy and PV rooftop development. The result shows that even though the PV rooftop can reduce the electricity cost with saving rate 16.02% for residential and 23% for commercial, the high investment cost with estimate value of IDR 9 M for residential and IDR 360M for commercial, payback in 9 years and a 5.5% return on investment is not so attractive compared to the electricity price from the utility without installing PV. Thus, there should be an improvement on the incentive or policy to increase the number of PV rooftop for commercial and residential tariff group.
{"title":"Techno-Economic of Photovoltaic Rooftop in Indonesia for Commercial and Residential Customer","authors":"Dianing Novita Nurmala Putri, Andrie Syatriawan, F. Rizanulhaq, Tyas Kartika, M. Widjaja, Nazmia Kurniawati","doi":"10.1109/ICCED51276.2020.9415847","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415847","url":null,"abstract":"Despite the high solar energy potential in Indonesia, the number of installed photovoltaic (PV) rooftop is relatively small. To improve the development, the Indonesian government initiate some regulations such as the Ministry of Energy and Mineral Resources (MEMR) policy No. 49/2018 that advertised the 65% incentive and No.16/2019 that remove the cost for parallel capacity and parallel operation for industry customers. However, the number is still far away from the target set by the government. By calculating the techno-economic parameters based on the MEMR tariff regulation No.28/2016 and the Incentive given by the government as per regulation MEMR policy No.49/2018, this paper aims to shows the implementation of the regulation for two different tariff groups such as commercial and residential so that it can be used as a references to improve the policy and PV rooftop development. The result shows that even though the PV rooftop can reduce the electricity cost with saving rate 16.02% for residential and 23% for commercial, the high investment cost with estimate value of IDR 9 M for residential and IDR 360M for commercial, payback in 9 years and a 5.5% return on investment is not so attractive compared to the electricity price from the utility without installing PV. Thus, there should be an improvement on the incentive or policy to increase the number of PV rooftop for commercial and residential tariff group.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133214762","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415848
Utamy Sukmayu Sanutri, Y. Suharnoto, A. Sapei, Cece Suhendi
The Kamun Irrigation Area or formerly better known as the Cilutung Irrigation Area (West and East) covering an area of 8,642 ha utilizing water from the Cilutung River through the Kamun Dam. At present, the intensity of planting in IA (irrigation area)at Kamun reaches only 211% with the main cropping pattern being rice-rice-crops. When looking at the potential availability of water in Kamun Dam, the amount of cumulative water availability per year (1,165 million m3 / year) still far exceeds the total irrigation water needs of Kamun IA (299 million m3 / year). The water balance deficit in Kamun Dam occurred in the period from the end of May to the end of November. The solution to overcome the fluctuations in water availability that is not in line with the fluctuations in water needs, namely by building reservoirs that that have one of the potential in Kadumalik. With the Kadumalik Reservoir it is expected that cropping intensity can increase by 300%. Based on the results of the hydrological analysis, the construction of the Kadumalik Reservoir in the Cilutung watershed can have a significant impact on the supply of irrigation water and raw water requirements. In addition, as a reduction in flooding downstream of the dam by 37.6% (when 20 years return). Kadumalik Reservoir has a reservoir capacity of 35.67 million m3 which can be used to irrigate an area of 8,462 Ha. Irrigation water needs with the pattern of planting rice-rice-crops, the amount of irrigation water needs is 2.5 m3 / sec. The Kadumalik Dam is also planned to meet the raw water in Majalengka and Cirebon Regencies with the amount of water needed for MRI (Master Requirement Plan) is 4.5 m3 / sec.
{"title":"Hydrological Analysis of Kadumalik Reservoir Design To Fulfill Water Demands of the Plan In the Cilutung IA (Irrigation Area)","authors":"Utamy Sukmayu Sanutri, Y. Suharnoto, A. Sapei, Cece Suhendi","doi":"10.1109/ICCED51276.2020.9415848","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415848","url":null,"abstract":"The Kamun Irrigation Area or formerly better known as the Cilutung Irrigation Area (West and East) covering an area of 8,642 ha utilizing water from the Cilutung River through the Kamun Dam. At present, the intensity of planting in IA (irrigation area)at Kamun reaches only 211% with the main cropping pattern being rice-rice-crops. When looking at the potential availability of water in Kamun Dam, the amount of cumulative water availability per year (1,165 million m3 / year) still far exceeds the total irrigation water needs of Kamun IA (299 million m3 / year). The water balance deficit in Kamun Dam occurred in the period from the end of May to the end of November. The solution to overcome the fluctuations in water availability that is not in line with the fluctuations in water needs, namely by building reservoirs that that have one of the potential in Kadumalik. With the Kadumalik Reservoir it is expected that cropping intensity can increase by 300%. Based on the results of the hydrological analysis, the construction of the Kadumalik Reservoir in the Cilutung watershed can have a significant impact on the supply of irrigation water and raw water requirements. In addition, as a reduction in flooding downstream of the dam by 37.6% (when 20 years return). Kadumalik Reservoir has a reservoir capacity of 35.67 million m3 which can be used to irrigate an area of 8,462 Ha. Irrigation water needs with the pattern of planting rice-rice-crops, the amount of irrigation water needs is 2.5 m3 / sec. The Kadumalik Dam is also planned to meet the raw water in Majalengka and Cirebon Regencies with the amount of water needed for MRI (Master Requirement Plan) is 4.5 m3 / sec.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133740905","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415767
Fiki Firmansyah, W. B. Zulfikar, D. Maylawati, Nunik Destria Arianti, L. Muliawaty, M. Septiadi, M. Ramdhani
The purpose of this research is to compare the effectiveness of the Support Vector Machine (SVM) algorithm with the K-Nearest Neighbor (KNN) algorithm in predicting the results of the Indonesian presidential election 2019 based on sentiment analysis on social media (Twitter). The research methodology used includes several stages: preprocessing and weighting using TF-IDF. The SVM algorithm has the highest accuracy compared to the KNN algorithm. The average accuracy of SVM algorithm is 69.27, with the highest accuracy is 76.5%, while the average value of the KNN algorithm is 61.3% with the highest accuracy of 68.3%. The fastest training time is obtained by the KNN algorithm, while the SVM algorithm obtains the fastest testing time. The results of presidential predictions based on positive sentiment, namely candidate number 01 obtained a percentage of 67.98% while the number of positive sentiment predictions from candidate number 02 was 67.79%.
{"title":"Comparing Sentiment Analysis of Indonesian Presidential Election 2019 with Support Vector Machine and K-Nearest Neighbor Algorithm","authors":"Fiki Firmansyah, W. B. Zulfikar, D. Maylawati, Nunik Destria Arianti, L. Muliawaty, M. Septiadi, M. Ramdhani","doi":"10.1109/ICCED51276.2020.9415767","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415767","url":null,"abstract":"The purpose of this research is to compare the effectiveness of the Support Vector Machine (SVM) algorithm with the K-Nearest Neighbor (KNN) algorithm in predicting the results of the Indonesian presidential election 2019 based on sentiment analysis on social media (Twitter). The research methodology used includes several stages: preprocessing and weighting using TF-IDF. The SVM algorithm has the highest accuracy compared to the KNN algorithm. The average accuracy of SVM algorithm is 69.27, with the highest accuracy is 76.5%, while the average value of the KNN algorithm is 61.3% with the highest accuracy of 68.3%. The fastest training time is obtained by the KNN algorithm, while the SVM algorithm obtains the fastest testing time. The results of presidential predictions based on positive sentiment, namely candidate number 01 obtained a percentage of 67.98% while the number of positive sentiment predictions from candidate number 02 was 67.79%.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133374596","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 : 2020-10-15DOI: 10.1109/icced51276.2020.9415797
{"title":"[Front matter]","authors":"","doi":"10.1109/icced51276.2020.9415797","DOIUrl":"https://doi.org/10.1109/icced51276.2020.9415797","url":null,"abstract":"","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134111634","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415831
Catherine, Julius Dimas Trisaktyo, Tammyana Ranas, M. Rasyiid, M. R. Shihab
A bank should provide reliable financial services to its customers. Banking services are evolving along with information technology advancement. It is a common practice for every organization to adopt the latest technology to gain or sustain their competitive advantage against competitors. Nevertheless, not every technology implemented in banks is a state of the art technology. They come from a different extent, and these older generation technologies are called the legacy system. The mainframe is usually a part of a legacy system because it exists since the organization was established. The mainframe managed a humongous financial transaction at a time. Its reliable performance makes it indispensable. Therefore, banks are facing the interoperability challenges between the legacy system and new technologies. This study will analyze the approach used by a bank in Indonesia in embracing agile development principles in implementing new technologies above their rigid legacy infrastructure.
{"title":"Embracing Agile Development Principles in an Organization using The Legacy System: The Case of Bank XYZ in Indonesia","authors":"Catherine, Julius Dimas Trisaktyo, Tammyana Ranas, M. Rasyiid, M. R. Shihab","doi":"10.1109/ICCED51276.2020.9415831","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415831","url":null,"abstract":"A bank should provide reliable financial services to its customers. Banking services are evolving along with information technology advancement. It is a common practice for every organization to adopt the latest technology to gain or sustain their competitive advantage against competitors. Nevertheless, not every technology implemented in banks is a state of the art technology. They come from a different extent, and these older generation technologies are called the legacy system. The mainframe is usually a part of a legacy system because it exists since the organization was established. The mainframe managed a humongous financial transaction at a time. Its reliable performance makes it indispensable. Therefore, banks are facing the interoperability challenges between the legacy system and new technologies. This study will analyze the approach used by a bank in Indonesia in embracing agile development principles in implementing new technologies above their rigid legacy infrastructure.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114218601","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415795
Oscar Haris, S. Wicaksono, Bambang Kurniawan, Gea Edytia, A. Darmawan
Airbag is technology in the automotive sector which was created to save the passenger from fatal risks in vehicle accident. Airbag are placed at the point of risk of passenger collision so that the impact load generated from this impact will be muted by airbags of the passenger. This research is designed to be able to perform rescue function not only for passenger, but also for vehicle itself. Because the placement of the airbags was placed on the bumper of vehicle, this part is installed with a high sensitivity sensor to be able to provide information to the system. So the airbags can expand before a impact occurs and the vehicle and its contents will be protected. ECU will send a signal to the squib inflator or also known as an igniter which is an electrical device in the form of a thin bridge cable, igniter will generate heat to burn propylene airbags which will produce nitrogen gas.
{"title":"Design & Analysis of External Airbag System at The Toyota Venza Vehicle","authors":"Oscar Haris, S. Wicaksono, Bambang Kurniawan, Gea Edytia, A. Darmawan","doi":"10.1109/ICCED51276.2020.9415795","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415795","url":null,"abstract":"Airbag is technology in the automotive sector which was created to save the passenger from fatal risks in vehicle accident. Airbag are placed at the point of risk of passenger collision so that the impact load generated from this impact will be muted by airbags of the passenger. This research is designed to be able to perform rescue function not only for passenger, but also for vehicle itself. Because the placement of the airbags was placed on the bumper of vehicle, this part is installed with a high sensitivity sensor to be able to provide information to the system. So the airbags can expand before a impact occurs and the vehicle and its contents will be protected. ECU will send a signal to the squib inflator or also known as an igniter which is an electrical device in the form of a thin bridge cable, igniter will generate heat to burn propylene airbags which will produce nitrogen gas.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115493955","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415858
T. Mantoro, R. Handayanto, M. A. Ayu, J. Asian
Many COVID-19 spread predictions have been implemented using various method. However, most of the prediction are missed because of many factors influence the COVID-19, e.g. geographic condition, socio-economic, government policy, etc. To handle this problem, the scenario-based prediction is proposed in this study to predict COVID-19 spread in Indonesia. This study proposed two methods to be used, i.e. Support Vector Regression (SVR) and Susceptible-Infectious-Recovered (SIR) Model. The prediction run for best-case scenario and worst-case scenario. Whereas best-case scenario used current daily case as a maximum case, worst-case scenario used another country's maximum case, i.e. India. SVR regression showed different end of epidemic, whereas best-case scenario on 21 January 2021, the worst-case scenario on 5 March 2021. SIR-Model showed the similar end of epidemic on January 2021 for both scenarios but showed the dramatically increase of infectious people from 450,000 people in best-case scenario to 5,500,000 people in worst-case scenario. The prediction can be used as an insight for the policy maker in combating the COVID-19 pandemic.
{"title":"Prediction of COVID-19 Spreading Using Support Vector Regression and Susceptible Infectious Recovered Model","authors":"T. Mantoro, R. Handayanto, M. A. Ayu, J. Asian","doi":"10.1109/ICCED51276.2020.9415858","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415858","url":null,"abstract":"Many COVID-19 spread predictions have been implemented using various method. However, most of the prediction are missed because of many factors influence the COVID-19, e.g. geographic condition, socio-economic, government policy, etc. To handle this problem, the scenario-based prediction is proposed in this study to predict COVID-19 spread in Indonesia. This study proposed two methods to be used, i.e. Support Vector Regression (SVR) and Susceptible-Infectious-Recovered (SIR) Model. The prediction run for best-case scenario and worst-case scenario. Whereas best-case scenario used current daily case as a maximum case, worst-case scenario used another country's maximum case, i.e. India. SVR regression showed different end of epidemic, whereas best-case scenario on 21 January 2021, the worst-case scenario on 5 March 2021. SIR-Model showed the similar end of epidemic on January 2021 for both scenarios but showed the dramatically increase of infectious people from 450,000 people in best-case scenario to 5,500,000 people in worst-case scenario. The prediction can be used as an insight for the policy maker in combating the COVID-19 pandemic.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123819358","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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