Pub Date : 2019-11-01DOI: 10.1109/ICISS48059.2019.8969802
H. T. Yani Achsan, H. Suhartanto, Wahyu Catur Wibowo, Diki Gita Purnama, Ayu Dwi Nindyati
DKI Jakarta Provincial Government has implemented Citizen Relationship Management in the form of Jakarta Smart City. There are 8 channels provided as a door or ways to submit complaints, of which 7 doors use Information and Communication Technology and 1 door of offline. Until now there has no evaluation of an offline channel, even though this channel requires personnel who must work full time on every Saturday. The data collection method for this research was an interview with 250 DKI Jakarta residents using a questionnaire with semi-closed questions. The result of this study indicates that the most widely used canals of DKI Jakarta residents in channeling complaints are offline channels that are conducted by face-to-face. While information about programs in the DKI Jakarta Provincial Government that is most influential is information from relatives or closest people that is usually done face to face.
{"title":"Modern Communities Still Prioritize Face-to-Face Communication","authors":"H. T. Yani Achsan, H. Suhartanto, Wahyu Catur Wibowo, Diki Gita Purnama, Ayu Dwi Nindyati","doi":"10.1109/ICISS48059.2019.8969802","DOIUrl":"https://doi.org/10.1109/ICISS48059.2019.8969802","url":null,"abstract":"DKI Jakarta Provincial Government has implemented Citizen Relationship Management in the form of Jakarta Smart City. There are 8 channels provided as a door or ways to submit complaints, of which 7 doors use Information and Communication Technology and 1 door of offline. Until now there has no evaluation of an offline channel, even though this channel requires personnel who must work full time on every Saturday. The data collection method for this research was an interview with 250 DKI Jakarta residents using a questionnaire with semi-closed questions. The result of this study indicates that the most widely used canals of DKI Jakarta residents in channeling complaints are offline channels that are conducted by face-to-face. While information about programs in the DKI Jakarta Provincial Government that is most influential is information from relatives or closest people that is usually done face to face.","PeriodicalId":125643,"journal":{"name":"2019 International Conference on ICT for Smart Society (ICISS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124784154","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 : 2019-11-01DOI: 10.1109/ICISS48059.2019.8969823
Dyah Wahyu Sukmaningsih, S. Supangkat, R. Kosala, B. Ranti
Public transportation has become one of the important things in sustainable city development. This study discusses the factors that influence for increasing satisfaction of public transportation passengers, in this case, train passengers. In addition to factors that were discussed in previous studies, this paper also added digital service factors. This study conducted online survey and data analyzing using PLS-SEM method. Service delivery, onboard experience and accessibility are the most important factors in ensuring passenger satisfaction. Although digital service has not been a significant determinant in passenger satisfaction, this paper also proposes issues that need attention in relation to IT governance.
{"title":"Toward Smart Mobility: Assessing Digital Service and IT Governance Consequences for Public Transportation","authors":"Dyah Wahyu Sukmaningsih, S. Supangkat, R. Kosala, B. Ranti","doi":"10.1109/ICISS48059.2019.8969823","DOIUrl":"https://doi.org/10.1109/ICISS48059.2019.8969823","url":null,"abstract":"Public transportation has become one of the important things in sustainable city development. This study discusses the factors that influence for increasing satisfaction of public transportation passengers, in this case, train passengers. In addition to factors that were discussed in previous studies, this paper also added digital service factors. This study conducted online survey and data analyzing using PLS-SEM method. Service delivery, onboard experience and accessibility are the most important factors in ensuring passenger satisfaction. Although digital service has not been a significant determinant in passenger satisfaction, this paper also proposes issues that need attention in relation to IT governance.","PeriodicalId":125643,"journal":{"name":"2019 International Conference on ICT for Smart Society (ICISS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125525876","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 : 2019-11-01DOI: 10.1109/ICISS48059.2019.8969845
Tirza Fidela Bernadus, L. B. Subekti, Y. Bandung
Elderly people generally experience a decrease in physical function which causes them to have a higher risk of experiencing health problems. 43% of elderly death cases are caused by blood circulation disorders. In addition, the results of a survey of five Asian countries showed high cases of elderly people falling. However, the elderlies are often left alone at home without the supervision of others. The late medical treatment given to the elderly when experiencing physical disruption can result to death. Therefore, we need an elderly health condition monitoring system that can serve as a means to provide information to families regarding the condition of the elderly in real-time. This system is based on the principle of the Internet of Things development. In general, the system consists of three parts, namely: wearable devices, servers and databases, and mobile applications. The integration of the three subsystems is able to monitor the elderly heart rate and detect the falling conditions. Abnormal health conditions will trigger the system to automatically send notifications through applications to elderly families. Thus, the family can immediately call the elderly and provide help as quick as possible. This elderly monitoring system can be used on the elderly wrist and has 90% accuracy in detecting hazard conditions. The system does not trigger any false alarm when used during normal activities. The system successfully displays information clearly through an Android-based application and is able to send notifications with a delay of under two seconds. This device with dimensions of 35 mm x 50 mm x 70 mm is also able to be used for 6.5 hours.
老年人通常会经历身体机能的下降，这导致他们有更高的风险经历健康问题。43%的老年人死亡病例是由血液循环疾病引起的。此外，对五个亚洲国家的调查结果显示，老年人摔倒的情况很高。然而，老年人经常被独自留在家里，没有别人的监督。老年人在经历身体损伤时，如果不及时接受治疗，可能会导致死亡。因此，我们需要一个老年人健康状况监测系统，它可以作为一种手段，向家庭实时提供有关老年人健康状况的信息。本系统是基于物联网原理开发的。总体而言，系统由可穿戴设备、服务器和数据库、移动应用三部分组成。三个子系统的集成能够监测老年人的心率和检测跌倒情况。如果出现异常的健康状况，系统会自动通过应用程序向老年家庭发送通知。因此，家人可以立即打电话给老人，并尽快提供帮助。该老年人监测系统可佩戴在老年人的手腕上，检测危险状况的准确率达90%。正常使用时，系统不会产生虚警。该系统成功地通过基于android的应用程序清晰地显示信息，并且能够以不到两秒的延迟发送通知。该设备尺寸为35mm x 50mm x 70mm，也可以使用6.5小时。
{"title":"IoT-Based Fall Detection and Heart Rate Monitoring System for Elderly Care","authors":"Tirza Fidela Bernadus, L. B. Subekti, Y. Bandung","doi":"10.1109/ICISS48059.2019.8969845","DOIUrl":"https://doi.org/10.1109/ICISS48059.2019.8969845","url":null,"abstract":"Elderly people generally experience a decrease in physical function which causes them to have a higher risk of experiencing health problems. 43% of elderly death cases are caused by blood circulation disorders. In addition, the results of a survey of five Asian countries showed high cases of elderly people falling. However, the elderlies are often left alone at home without the supervision of others. The late medical treatment given to the elderly when experiencing physical disruption can result to death. Therefore, we need an elderly health condition monitoring system that can serve as a means to provide information to families regarding the condition of the elderly in real-time. This system is based on the principle of the Internet of Things development. In general, the system consists of three parts, namely: wearable devices, servers and databases, and mobile applications. The integration of the three subsystems is able to monitor the elderly heart rate and detect the falling conditions. Abnormal health conditions will trigger the system to automatically send notifications through applications to elderly families. Thus, the family can immediately call the elderly and provide help as quick as possible. This elderly monitoring system can be used on the elderly wrist and has 90% accuracy in detecting hazard conditions. The system does not trigger any false alarm when used during normal activities. The system successfully displays information clearly through an Android-based application and is able to send notifications with a delay of under two seconds. This device with dimensions of 35 mm x 50 mm x 70 mm is also able to be used for 6.5 hours.","PeriodicalId":125643,"journal":{"name":"2019 International Conference on ICT for Smart Society (ICISS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128123225","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 : 2019-11-01DOI: 10.1109/ICISS48059.2019.8969787
A. Sofian, Albarda
The rapid development of the use of ICTs through e-government programs launched by the government, especially in the public service sector, has created various innovations based on information systems that cause incompatibility with business systems. Each work unit creates its own information system for business needs so that there is disharmony if it is to be drawn into the public service system at the top level. SOA is needed as a solution to overcome this problem where communication services that were originally P2P were converted into communication between services on the bus to achieve business goals optimally despite various architectures, platforms, programming languages. ESB is a very appropriate middleware for the integration of these background differences. RESTful web services are used to connect each of the existing applications both internal and external applications through ESB.
{"title":"Designing SOA-based BATAN Public Services with Restful Web Service","authors":"A. Sofian, Albarda","doi":"10.1109/ICISS48059.2019.8969787","DOIUrl":"https://doi.org/10.1109/ICISS48059.2019.8969787","url":null,"abstract":"The rapid development of the use of ICTs through e-government programs launched by the government, especially in the public service sector, has created various innovations based on information systems that cause incompatibility with business systems. Each work unit creates its own information system for business needs so that there is disharmony if it is to be drawn into the public service system at the top level. SOA is needed as a solution to overcome this problem where communication services that were originally P2P were converted into communication between services on the bus to achieve business goals optimally despite various architectures, platforms, programming languages. ESB is a very appropriate middleware for the integration of these background differences. RESTful web services are used to connect each of the existing applications both internal and external applications through ESB.","PeriodicalId":125643,"journal":{"name":"2019 International Conference on ICT for Smart Society (ICISS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131144888","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 : 2019-11-01DOI: 10.1109/ICISS48059.2019.8969816
Ariel E. Isidro, Arnel C. Fajardo
Information technology has been playing major roles in the field of medical research and analysis in diagnosing as well as treatment of diseases. Colon cancer is among one of the diseases to be identified effectively and accurately. The scarcity of datasets however hinders the progress of researchers. This paper introduces an algorithm that extracts image from an original image using a ground truth. The algorithm used Python programming language in string slicing. The algorithm was able to extract both polyp and non-polyp images and decreases 8% of the time it takes than original image. Furthermore, this algorithm is useful in creating future studies.
{"title":"Optimized Image Extracting Algorithm from Original Image using Ground Truth","authors":"Ariel E. Isidro, Arnel C. Fajardo","doi":"10.1109/ICISS48059.2019.8969816","DOIUrl":"https://doi.org/10.1109/ICISS48059.2019.8969816","url":null,"abstract":"Information technology has been playing major roles in the field of medical research and analysis in diagnosing as well as treatment of diseases. Colon cancer is among one of the diseases to be identified effectively and accurately. The scarcity of datasets however hinders the progress of researchers. This paper introduces an algorithm that extracts image from an original image using a ground truth. The algorithm used Python programming language in string slicing. The algorithm was able to extract both polyp and non-polyp images and decreases 8% of the time it takes than original image. Furthermore, this algorithm is useful in creating future studies.","PeriodicalId":125643,"journal":{"name":"2019 International Conference on ICT for Smart Society (ICISS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132606578","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 : 2019-11-01DOI: 10.1109/ICISS48059.2019.8969795
Asyeh Haqiq, B. Pharmasetiawan
Previous research has proven that online search data can be used to estimate tourist visits. Massive query data is a challenge in determining the right keywords to used to build indexes. This study proposes a framework for building a composite search index. The proposed forecasting framework emphasizes keyword selection using keywords in previous research and is based on the tourism organization's website. Previous studies predict the number of tourist arrivals at a tourist place, city or city-state, whereas in this study predict foreign tourist visits at the country level, Indonesia. Using the econometric model, this study uses data on Foreign Tourist Visits (FTV), Google Trends Index (GTI), Customer Price Index (CPI) and Exchange Rate (ER). The forecasting method uses the Vector Error Correction Model (VECM) and then analyzes the model, provides forecasting and structural analysis of the model. The results of the model analysis are long-term and short-term analyzes and the results of forecasting evaluation show that the MAPE score is good.
{"title":"Data Analytics For Forecasting Arrival of Tourism Visit in Indonesia","authors":"Asyeh Haqiq, B. Pharmasetiawan","doi":"10.1109/ICISS48059.2019.8969795","DOIUrl":"https://doi.org/10.1109/ICISS48059.2019.8969795","url":null,"abstract":"Previous research has proven that online search data can be used to estimate tourist visits. Massive query data is a challenge in determining the right keywords to used to build indexes. This study proposes a framework for building a composite search index. The proposed forecasting framework emphasizes keyword selection using keywords in previous research and is based on the tourism organization's website. Previous studies predict the number of tourist arrivals at a tourist place, city or city-state, whereas in this study predict foreign tourist visits at the country level, Indonesia. Using the econometric model, this study uses data on Foreign Tourist Visits (FTV), Google Trends Index (GTI), Customer Price Index (CPI) and Exchange Rate (ER). The forecasting method uses the Vector Error Correction Model (VECM) and then analyzes the model, provides forecasting and structural analysis of the model. The results of the model analysis are long-term and short-term analyzes and the results of forecasting evaluation show that the MAPE score is good.","PeriodicalId":125643,"journal":{"name":"2019 International Conference on ICT for Smart Society (ICISS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133647148","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 : 2019-11-01DOI: 10.1109/ICISS48059.2019.8969831
D. Gunawan, Syaiful Anwar Husen Lubis, R. Rahmat, A. Hizriadi
The Indonesian government has developed a database called TRUST+™ Positif which contains the list of blacklisted URLs. These URLs are blacklisted because they contain some prohibited materials or negative contents such as pornography, radicalism, fraud, racism, violence, gambling, and security threat. The government requires all the Internet Service Provider (ISP) in Indonesia to block Internet access to websites listed on TRUST+™ Positif database. The government expects this action will help reducing the spread of negative contents, especially pornography. One of the many ways to disseminate pornographic content is by publishing those articles in the websites. This research purpose is to provide the pornographic corpus in order to be the reference for pornography identification research. The corpus is built from 1,000 articles from 150 websites based on TRUST+™ Positif database. This research only extracts the sentences that related to pornography. The extraction is done based on the selected keywords. These keywords are generated by the most frequent words the articles and should be related to pornography. There are 447 keywords that have been selected manually. The result of this research is a pornographic corpus in Bahasa Indonesia that consists of 35,753 sentences.
{"title":"Building the Pornography Corpus for Bahasa Indonesia Based on TRUST+™ Positif Database","authors":"D. Gunawan, Syaiful Anwar Husen Lubis, R. Rahmat, A. Hizriadi","doi":"10.1109/ICISS48059.2019.8969831","DOIUrl":"https://doi.org/10.1109/ICISS48059.2019.8969831","url":null,"abstract":"The Indonesian government has developed a database called TRUST+™ Positif which contains the list of blacklisted URLs. These URLs are blacklisted because they contain some prohibited materials or negative contents such as pornography, radicalism, fraud, racism, violence, gambling, and security threat. The government requires all the Internet Service Provider (ISP) in Indonesia to block Internet access to websites listed on TRUST+™ Positif database. The government expects this action will help reducing the spread of negative contents, especially pornography. One of the many ways to disseminate pornographic content is by publishing those articles in the websites. This research purpose is to provide the pornographic corpus in order to be the reference for pornography identification research. The corpus is built from 1,000 articles from 150 websites based on TRUST+™ Positif database. This research only extracts the sentences that related to pornography. The extraction is done based on the selected keywords. These keywords are generated by the most frequent words the articles and should be related to pornography. There are 447 keywords that have been selected manually. The result of this research is a pornographic corpus in Bahasa Indonesia that consists of 35,753 sentences.","PeriodicalId":125643,"journal":{"name":"2019 International Conference on ICT for Smart Society (ICISS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134639495","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 : 2019-11-01DOI: 10.1109/ICISS48059.2019.8969830
I. A. Dahlan, F. Hamami, S. Supangkat, F. Hidayat
This paper presents the implementation on smart system for rapid transit using CCTV surveillance. Researchers proposed deep learning algorithms to detect objects with Convolutional Neural Network (CNN) and monitoring passengers’ behavior like flow analytics, avoiding dangerous areas, and preventing intruder visitor[1][2].Research of this paper also implemented in Railway Station in Bandung with multiple CCTV sources. The system aims to make station better and able to improve quality of service in many scope areas (safe, secure and convenient)[3].Objective of this research is to develop smart surveillance with CCTV in smart station. The system consists of deep learning algorithm and big data technologies such as Hadoop, Apache Kafka and Apache Spark.
{"title":"Big Data Implementation of Smart Rapid Transit using CCTV Surveillance","authors":"I. A. Dahlan, F. Hamami, S. Supangkat, F. Hidayat","doi":"10.1109/ICISS48059.2019.8969830","DOIUrl":"https://doi.org/10.1109/ICISS48059.2019.8969830","url":null,"abstract":"This paper presents the implementation on smart system for rapid transit using CCTV surveillance. Researchers proposed deep learning algorithms to detect objects with Convolutional Neural Network (CNN) and monitoring passengers’ behavior like flow analytics, avoiding dangerous areas, and preventing intruder visitor[1][2].Research of this paper also implemented in Railway Station in Bandung with multiple CCTV sources. The system aims to make station better and able to improve quality of service in many scope areas (safe, secure and convenient)[3].Objective of this research is to develop smart surveillance with CCTV in smart station. The system consists of deep learning algorithm and big data technologies such as Hadoop, Apache Kafka and Apache Spark.","PeriodicalId":125643,"journal":{"name":"2019 International Conference on ICT for Smart Society (ICISS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114104246","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 : 2019-11-01DOI: 10.1109/ICISS48059.2019.8969847
Abdul Hafizh Firdaus, I. Gusti Bagus Baskara Nugraha
In savings and loan cooperatives there are many problems of embezzlement of funds carried out by cooperative officers. The embezzlement of funds occurs because of the non-transparency of transactions that occur in savings and loan cooperatives. This transparency problem can be solved using blockchain-based recording technology. With blockchain, cooperative members can contribute as peer to protecting existing data.
{"title":"Saving and Loan Transaction System in Cooperative Using Blockchain","authors":"Abdul Hafizh Firdaus, I. Gusti Bagus Baskara Nugraha","doi":"10.1109/ICISS48059.2019.8969847","DOIUrl":"https://doi.org/10.1109/ICISS48059.2019.8969847","url":null,"abstract":"In savings and loan cooperatives there are many problems of embezzlement of funds carried out by cooperative officers. The embezzlement of funds occurs because of the non-transparency of transactions that occur in savings and loan cooperatives. This transparency problem can be solved using blockchain-based recording technology. With blockchain, cooperative members can contribute as peer to protecting existing data.","PeriodicalId":125643,"journal":{"name":"2019 International Conference on ICT for Smart Society (ICISS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116104171","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 : 2019-11-01DOI: 10.1109/ICISS48059.2019.8969835
Dennis Luqman, Fransiska Humida Marpaung, Meri Chindyna Marpaung, A. S. Girsang, Sani Muhamad Isa
Traffic congestion is a major problem throughout the world, especially in the city of Jakarta. Until now the problem of congestion has not been resolved properly because the number of vehicles is always increase and the number of roads is inadequate, drivers are not getting complete and updated information about the traffic around them, other than that the parties are also less responsive in handling congestion. Therefore, this study was made to analyze and determine which road segments need special attention, help traffic management, make it easier for users to find out the latest traffic information, and make relevant parties able to take quick response actions. This paper is using social media data, social network such as Facebook is able to provide a real-time data. this data can be processed to gain a powerful insight. However, processing social media data have challenge due to the raw text format, therefore the text processing needs to be done in order to make the data readable. In Jakarta, there is an official account which post a traffic condition in Jakarta. In this paper we are getting the post data from this account, do text processing on it and make a reports and dashboard to provide any user insight regarding the traffic data in Jakarta.
{"title":"City Traffic Analysis Based on Facebook Data","authors":"Dennis Luqman, Fransiska Humida Marpaung, Meri Chindyna Marpaung, A. S. Girsang, Sani Muhamad Isa","doi":"10.1109/ICISS48059.2019.8969835","DOIUrl":"https://doi.org/10.1109/ICISS48059.2019.8969835","url":null,"abstract":"Traffic congestion is a major problem throughout the world, especially in the city of Jakarta. Until now the problem of congestion has not been resolved properly because the number of vehicles is always increase and the number of roads is inadequate, drivers are not getting complete and updated information about the traffic around them, other than that the parties are also less responsive in handling congestion. Therefore, this study was made to analyze and determine which road segments need special attention, help traffic management, make it easier for users to find out the latest traffic information, and make relevant parties able to take quick response actions. This paper is using social media data, social network such as Facebook is able to provide a real-time data. this data can be processed to gain a powerful insight. However, processing social media data have challenge due to the raw text format, therefore the text processing needs to be done in order to make the data readable. In Jakarta, there is an official account which post a traffic condition in Jakarta. In this paper we are getting the post data from this account, do text processing on it and make a reports and dashboard to provide any user insight regarding the traffic data in Jakarta.","PeriodicalId":125643,"journal":{"name":"2019 International Conference on ICT for Smart Society (ICISS)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124037231","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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