Pub Date : 2018-10-01DOI: 10.1109/EECSI.2018.8752624
Novi Azman, M. H. Satria, Muhammad Zillullah Mukaram, Mohd Khanapi Abd Ghani
Insomnia is a common health problem in medical field as well as in psychiatry. The measurement of those factors could be collected by using polysomnography as one of the current standards. However, due to the routine of clinical assessment, the polysomnography is impractical and limited to be used in certain place. The rapid progress of electronic sensors to support IoT in health telemonitoring should provide the real time diagnosis of patient at home too. In this research, the development of centralized insomnia system for recording and analysis of patient with chronic-insomnia data is proposed. The system is composed from multi body sensors that connected to main IOT server. The test has been done for 5 patients and the result has been successfully retrieved in real time.
{"title":"Development of Embedded System for Centralized Insomnia System","authors":"Novi Azman, M. H. Satria, Muhammad Zillullah Mukaram, Mohd Khanapi Abd Ghani","doi":"10.1109/EECSI.2018.8752624","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752624","url":null,"abstract":"Insomnia is a common health problem in medical field as well as in psychiatry. The measurement of those factors could be collected by using polysomnography as one of the current standards. However, due to the routine of clinical assessment, the polysomnography is impractical and limited to be used in certain place. The rapid progress of electronic sensors to support IoT in health telemonitoring should provide the real time diagnosis of patient at home too. In this research, the development of centralized insomnia system for recording and analysis of patient with chronic-insomnia data is proposed. The system is composed from multi body sensors that connected to main IOT server. The test has been done for 5 patients and the result has been successfully retrieved in real time.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"45 1","pages":"451-455"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79756157","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752851
E. B. Setiawan, D. H. Widyantoro, K. Surendro
The community's need for social media is increasing, since the media can be used to express their opinion, especially the Twitter. Sentiment analysis can be used to understand public opinion a topic where the accuracy can be measured and improved by several methods. In this paper, we introduce a hybrid method that combines: (a) basic features and feature expansion based on Term Frequency–Inverse Document Frequency (TF-IDF) and (b) basic features and feature expansion based on tweet-based features. We train three most common classifiers for this field, i.e., Support Vector Machine (SVM), Logistic Regression (Logit), and Naïve Bayes (NB). From those two feature expansions, we do notice a significant increase in feature expansion with tweet-based features rather than based on TF-IDF, where the highest accuracy of 98.81% is achieved in Logistic Regression Classifier.
{"title":"Feature Expansion for Sentiment Analysis in Twitter","authors":"E. B. Setiawan, D. H. Widyantoro, K. Surendro","doi":"10.1109/EECSI.2018.8752851","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752851","url":null,"abstract":"The community's need for social media is increasing, since the media can be used to express their opinion, especially the Twitter. Sentiment analysis can be used to understand public opinion a topic where the accuracy can be measured and improved by several methods. In this paper, we introduce a hybrid method that combines: (a) basic features and feature expansion based on Term Frequency–Inverse Document Frequency (TF-IDF) and (b) basic features and feature expansion based on tweet-based features. We train three most common classifiers for this field, i.e., Support Vector Machine (SVM), Logistic Regression (Logit), and Naïve Bayes (NB). From those two feature expansions, we do notice a significant increase in feature expansion with tweet-based features rather than based on TF-IDF, where the highest accuracy of 98.81% is achieved in Logistic Regression Classifier.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"7 1","pages":"509-513"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83087295","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752681
S. Hadjar, P. W. Handayani, Riri Satria, A. Pinem
Abstract— Just as companies in the oil and gas industry, Air Drilling Associates (ADA) also feel the urgency to utilize Knowledge Management to facilitate resilience in a dynamic and competitive business environment. By the end of 2016 ADA introduces the ADA Knowledge Base, a Knowledge Management System, for employee to be utilized as a platform for sharing experiences and learning. However, up to one year since its introduction, the employee participation rate in ADA Knowledge Base is still low. A strategy is required for the implementation of a Knowledge Management System that is part of support for Knowledge Management. This study conducted by using Soft System Methodology approach and Knowledge Management theory. Respondents such as upper management, middle management and staff from the organization has been interviewed. The result defined three steps and sixteen activities for the company to implement the Knowledge Management System.
{"title":"Implementation Strategy of Knowledge Management System: A Case of Air Drilling Associates","authors":"S. Hadjar, P. W. Handayani, Riri Satria, A. Pinem","doi":"10.1109/EECSI.2018.8752681","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752681","url":null,"abstract":"Abstract— Just as companies in the oil and gas industry, Air Drilling Associates (ADA) also feel the urgency to utilize Knowledge Management to facilitate resilience in a dynamic and competitive business environment. By the end of 2016 ADA introduces the ADA Knowledge Base, a Knowledge Management System, for employee to be utilized as a platform for sharing experiences and learning. However, up to one year since its introduction, the employee participation rate in ADA Knowledge Base is still low. A strategy is required for the implementation of a Knowledge Management System that is part of support for Knowledge Management. This study conducted by using Soft System Methodology approach and Knowledge Management theory. Respondents such as upper management, middle management and staff from the organization has been interviewed. The result defined three steps and sixteen activities for the company to implement the Knowledge Management System.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"136 5 1","pages":"17-22"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82995487","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752707
L. Putra, Linggo Sumarno, Vincentius Abdi Gunawan
Semaphore are one way of communicating over long distances using the semaphore flags. In Indonesia semaphore is used in scout activities as a method to send information in the form of a sentence containing the message. Sending the semaphore letter code tends to be difficult. Based on the need to semaphore learning, this research proposes an algorithm with image processing as a way to correct the movement of the semaphore letter code based on the image obtained by using the webcam. Digital image processing, Wavelet feature extraction, and Euclidean distance function are applied in this study to determine the best recognition rate of variation decimation and distance variation to sending semaphore letter code using the webcam. This study resulted in the best recognition rate of 95.4% in the 1st decimation, recognition rate reached 94.6% in decimation 2, and recognition rate reached 94.2% in decimation 3. The result of the introduction of the semaphore letter code is on the introduction of movement as far as 3 to 5 meters.
{"title":"The Recognition Of Semaphore Letter Code Using Haar Wavelet And Euclidean Function","authors":"L. Putra, Linggo Sumarno, Vincentius Abdi Gunawan","doi":"10.1109/EECSI.2018.8752707","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752707","url":null,"abstract":"Semaphore are one way of communicating over long distances using the semaphore flags. In Indonesia semaphore is used in scout activities as a method to send information in the form of a sentence containing the message. Sending the semaphore letter code tends to be difficult. Based on the need to semaphore learning, this research proposes an algorithm with image processing as a way to correct the movement of the semaphore letter code based on the image obtained by using the webcam. Digital image processing, Wavelet feature extraction, and Euclidean distance function are applied in this study to determine the best recognition rate of variation decimation and distance variation to sending semaphore letter code using the webcam. This study resulted in the best recognition rate of 95.4% in the 1st decimation, recognition rate reached 94.6% in decimation 2, and recognition rate reached 94.2% in decimation 3. The result of the introduction of the semaphore letter code is on the introduction of movement as far as 3 to 5 meters.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"60 1","pages":"759-763"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90858730","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752741
Ali Sofyan Kholimi, A. Hamdani, Lailatul Husniah
Most of the games rely on the game designer to design the level and environment. Increasing of game environment space scale followed by increasing of time and cost. Procedural Content Generation (PCG) is a method to solve this problem by generating a game environment space. In this paper, a PCG method proposed using a genetic algorithm approach to solve the problem in generating game environment. Transition graph adapted in the proposed method to make PCG generate difficulty level. The Index-based approach used to display the biome sequence. This approach displays the biome according to its index in the sequence.
{"title":"Automatic Game World Generation for Platformer Games Using Genetic Algorithm","authors":"Ali Sofyan Kholimi, A. Hamdani, Lailatul Husniah","doi":"10.1109/EECSI.2018.8752741","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752741","url":null,"abstract":"Most of the games rely on the game designer to design the level and environment. Increasing of game environment space scale followed by increasing of time and cost. Procedural Content Generation (PCG) is a method to solve this problem by generating a game environment space. In this paper, a PCG method proposed using a genetic algorithm approach to solve the problem in generating game environment. Transition graph adapted in the proposed method to make PCG generate difficulty level. The Index-based approach used to display the biome sequence. This approach displays the biome according to its index in the sequence.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"1 1","pages":"495-498"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81832076","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752663
Tri Wahono, T. Sutikno, N. S. Widodo, M. Facta
This paper describes the Z-source matrix converter (ZS-MC) topology which specifically discusses topology and control on the ZS-MC. There are two topologies on the ZS-MC, namely Z-source direct-MC (ZS-DMC) and indirect-MC (ZS-IMC). The difference of each of these topologies is in the number of switching mosfets, where ZS-DMC put on nine switches, while ZS-IMC eighteen switches. ZS-IMC topology overcomes the limitations of traditional MC voltage reinforcement and accommodates the operation of buck and boost converter by reducing the number of switches and providing high efficiency.
本文介绍了z源矩阵变换器(ZS-MC)的拓扑结构，具体讨论了ZS-MC的拓扑结构和控制。ZS-MC有两种拓扑，即z源直接- mc (ZS-DMC)和间接- mc (ZS-IMC)。这些拓扑的不同之处在于交换mosfet的数量，其中ZS-DMC有9个交换机，而ZS-IMC有18个交换机。ZS-IMC拓扑克服了传统MC电压增强的局限性，通过减少开关数量和提供高效率来适应降压和升压变换器的工作。
{"title":"A Survey on Topologies and Controls of Z-Source Matrix Converter","authors":"Tri Wahono, T. Sutikno, N. S. Widodo, M. Facta","doi":"10.1109/EECSI.2018.8752663","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752663","url":null,"abstract":"This paper describes the Z-source matrix converter (ZS-MC) topology which specifically discusses topology and control on the ZS-MC. There are two topologies on the ZS-MC, namely Z-source direct-MC (ZS-DMC) and indirect-MC (ZS-IMC). The difference of each of these topologies is in the number of switching mosfets, where ZS-DMC put on nine switches, while ZS-IMC eighteen switches. ZS-IMC topology overcomes the limitations of traditional MC voltage reinforcement and accommodates the operation of buck and boost converter by reducing the number of switches and providing high efficiency.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"14 1","pages":"189-192"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81497946","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752827
Benediktus Anindito, A. G. Sooai, Mochamad Mizanul Achlaq, Moh Noor Al-Azam, A. Winaya, Maftuchah Maftuchah
Indoor agriculture has begun in urban areas. With the narrowness of land and the model of vertical house development, makes this method of indoor agriculture has become a trend in several big cities in the world. Meanwhile, the one that is always needed by every plant is photosynthesis, and every natural photosynthesis of plants continually requires abiotic components of visible light from sunlight. That's why the indoor agriculture requires a replacement source of the sun with artificial sunlight. We can make this artificial sunlight from several light sources, such as incandescent lamps, compact fluorescent lamps (CFL), or the latest with Light Emitting Diode (LED). In this paper, we measured the intensity of light generated from several LEDs with some radiation distance to obtain the optimal energy for plants photosynthesis.
{"title":"Indoor Agriculture: Measurement of The Intensity of LED for Optimum Photosynthetic Recovery","authors":"Benediktus Anindito, A. G. Sooai, Mochamad Mizanul Achlaq, Moh Noor Al-Azam, A. Winaya, Maftuchah Maftuchah","doi":"10.1109/EECSI.2018.8752827","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752827","url":null,"abstract":"Indoor agriculture has begun in urban areas. With the narrowness of land and the model of vertical house development, makes this method of indoor agriculture has become a trend in several big cities in the world. Meanwhile, the one that is always needed by every plant is photosynthesis, and every natural photosynthesis of plants continually requires abiotic components of visible light from sunlight. That's why the indoor agriculture requires a replacement source of the sun with artificial sunlight. We can make this artificial sunlight from several light sources, such as incandescent lamps, compact fluorescent lamps (CFL), or the latest with Light Emitting Diode (LED). In this paper, we measured the intensity of light generated from several LEDs with some radiation distance to obtain the optimal energy for plants photosynthesis.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"1 1","pages":"356-361"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89228090","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752674
T. Suryanto, D. Setyohadi, A. Fauzi
This paper examines what influences Attitude towar usage (ATU) as the expectation of the application of Employee Information System (EIS) with high success rate, this research is observed through cognitive value using approach theory of information system success model DeLone and McLean Model (DMM) and affective value using the Human Resource quality theory (HRQ) and the Self-Efficacy (SE) model. The overall data was obtained by providing questionnaires to employees at the Higher Education and using WarpPLS and SEM as a method of analysis. This study found that, because the EIS was positioned as a compulsory system, our study showed that only Self-Efficacy would affect Attitudes toward the Use of EIS. The quality of human resources, as other Affective factors, has no effect on Attitudes towards usage of EIS.
{"title":"Self-Efficacy a Critical Factor of Information System: An Investigation using DeLone McLean","authors":"T. Suryanto, D. Setyohadi, A. Fauzi","doi":"10.1109/EECSI.2018.8752674","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752674","url":null,"abstract":"This paper examines what influences Attitude towar usage (ATU) as the expectation of the application of Employee Information System (EIS) with high success rate, this research is observed through cognitive value using approach theory of information system success model DeLone and McLean Model (DMM) and affective value using the Human Resource quality theory (HRQ) and the Self-Efficacy (SE) model. The overall data was obtained by providing questionnaires to employees at the Higher Education and using WarpPLS and SEM as a method of analysis. This study found that, because the EIS was positioned as a compulsory system, our study showed that only Self-Efficacy would affect Attitudes toward the Use of EIS. The quality of human resources, as other Affective factors, has no effect on Attitudes towards usage of EIS.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"9 1","pages":"614-618"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87865136","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752694
Muhammad Izzuddin Mahali, E. Marpanaji, S. A. Dewanto, Bekti Wulandari, U. Rochayati, Nur Hasanah
An increase of the number of vehicles which is not followed by the number of roads can lead to the increase of congestion, especially in big cities. Regulation of law no 22 Year 2009 explains that there are seven types of vehicles prioritized on the road. This research aims to build a Smart Traffic Light as a solution with the goal of making the prioritized vehicle journey smooth when crossing the road with Smart Traffic Light. The proposed system is "Smart Traffic Light on IoT and mBaaS (Mobile Backend As a Service) using High Priority Vehicles Method". The Smart Traffic Light has three important parts, including: (1) Smart Traffic Application; (2) Smart Traffic Controller; and (3) mBaaS. Prioritized vehicle drivers cross the road using the Smart Traffic Application when they are in an emergency situation. Smart Traffic Application and Smart Traffic Controller communicate using mBaaS. Smart Traffic Application has a vehicle track search facility as well as identification of traffic light location. A few meters before crossing, Smart Traffic Application will send the location to mBaaS and continue to be read by Smart Traffic Controller using internet. If it meets the criteria of High Priority Vehicle, then Traffic Light will be changed to green in the same path. The results show that when testing the data rate from Smart Traffic Application to Smart Traffic Controller, it takes no later than 8.15 seconds and 1.2 seconds (the fastest) with the average data transmission time of 3.39 seconds. Smart Traffic Light is able to identify the direction of the vehicle before passing through the Smart Traffic Application.
{"title":"Smart Traffic Light based on IoT and mBaaS using High Priority Vehicles Method","authors":"Muhammad Izzuddin Mahali, E. Marpanaji, S. A. Dewanto, Bekti Wulandari, U. Rochayati, Nur Hasanah","doi":"10.1109/EECSI.2018.8752694","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752694","url":null,"abstract":"An increase of the number of vehicles which is not followed by the number of roads can lead to the increase of congestion, especially in big cities. Regulation of law no 22 Year 2009 explains that there are seven types of vehicles prioritized on the road. This research aims to build a Smart Traffic Light as a solution with the goal of making the prioritized vehicle journey smooth when crossing the road with Smart Traffic Light. The proposed system is \"Smart Traffic Light on IoT and mBaaS (Mobile Backend As a Service) using High Priority Vehicles Method\". The Smart Traffic Light has three important parts, including: (1) Smart Traffic Application; (2) Smart Traffic Controller; and (3) mBaaS. Prioritized vehicle drivers cross the road using the Smart Traffic Application when they are in an emergency situation. Smart Traffic Application and Smart Traffic Controller communicate using mBaaS. Smart Traffic Application has a vehicle track search facility as well as identification of traffic light location. A few meters before crossing, Smart Traffic Application will send the location to mBaaS and continue to be read by Smart Traffic Controller using internet. If it meets the criteria of High Priority Vehicle, then Traffic Light will be changed to green in the same path. The results show that when testing the data rate from Smart Traffic Application to Smart Traffic Controller, it takes no later than 8.15 seconds and 1.2 seconds (the fastest) with the average data transmission time of 3.39 seconds. Smart Traffic Light is able to identify the direction of the vehicle before passing through the Smart Traffic Application.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"57 1","pages":"703-707"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83482693","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}
Sentiment analysis is a useful study for determining opinions by classifying text. The document used in the research comes from Twitter about public opinion about community satisfaction related to performance of incumbent. The method used is Appraisal Theory. The data used are 1587 for Jokowi related data, 1774 for Ministry related data, and 1337 government related data. The result of data analysis from this research is that people have positive sentiments for incumbent. Innovation is a term that has the highest positive sentiment, whereas imaging is the term that has the lowest negative sentiment.
{"title":"Sentiment Analysis Based on Appraisal Theory for Assessing Incumbent Electability","authors":"Canrakerta Canrakerta, Pamuji Lasiyanto Putro, Zikri Irfandi, Nur Fitriah Ayuning Budi, Achmad Nizar Hidayanto","doi":"10.1109/EECSI.2018.8752940","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752940","url":null,"abstract":"Sentiment analysis is a useful study for determining opinions by classifying text. The document used in the research comes from Twitter about public opinion about community satisfaction related to performance of incumbent. The method used is Appraisal Theory. The data used are 1587 for Jokowi related data, 1774 for Ministry related data, and 1337 government related data. The result of data analysis from this research is that people have positive sentiments for incumbent. Innovation is a term that has the highest positive sentiment, whereas imaging is the term that has the lowest negative sentiment.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"98 1","pages":"101-106"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73035669","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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