Pub Date : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266033
A. E. Widjaja, R. E. Tarigan
Procrastination is a common phenomenon which can be experienced by both the individuals and the teams. Yet, by referring to the current literature, little is known concerning the procrastination behaviors within the context of the virtual teams. Drawing from the theory of planned behavior, this present paper will propose and discuss an experimental research approach to specifically investigate the procrastination within the context of the virtual teams. The nature of this paper is research or work in progress. The relevant and related theory, concepts, prior works, hypotheses, and the experimental research designs will be discussed in this paper.
{"title":"Factors affecting procrastination in the virtual teams: An experimental research approach based on the theory of planned behavior","authors":"A. E. Widjaja, R. E. Tarigan","doi":"10.1109/CONMEDIA.2017.8266033","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266033","url":null,"abstract":"Procrastination is a common phenomenon which can be experienced by both the individuals and the teams. Yet, by referring to the current literature, little is known concerning the procrastination behaviors within the context of the virtual teams. Drawing from the theory of planned behavior, this present paper will propose and discuss an experimental research approach to specifically investigate the procrastination within the context of the virtual teams. The nature of this paper is research or work in progress. The relevant and related theory, concepts, prior works, hypotheses, and the experimental research designs will be discussed in this paper.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114073307","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266047
M. Edward, K. Karyono, H. Meidia
Smart Refrigerator is an appliance which converts an ordinary refrigerator into a smart refrigerator. Various features offered by this refrigerator include the ability to know the number of items in the refrigerator, order low stock goods and provide notifications to the user. Notifications provided are the items expiring soon, temperature rise in the refrigerator, as well as a wide variety of error messages that is sent by the refrigerator. In addition to these features, the refrigerator is also connected to an Android application that allows users to see the contents of the fridge, order food items, record transaction history and perform a variety of configurations. This device uses photodiodes placed at several points to detect the presence of objects, DS18B20 as temperature sensor, NodeMCU as a controller, and Raspberry Pi 3 as a home server. The controller will collect all sensor information and send them to RaspBerry Pi 3.
{"title":"Smart fridge design using NodeMCU and home server based on Raspberry Pi 3","authors":"M. Edward, K. Karyono, H. Meidia","doi":"10.1109/CONMEDIA.2017.8266047","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266047","url":null,"abstract":"Smart Refrigerator is an appliance which converts an ordinary refrigerator into a smart refrigerator. Various features offered by this refrigerator include the ability to know the number of items in the refrigerator, order low stock goods and provide notifications to the user. Notifications provided are the items expiring soon, temperature rise in the refrigerator, as well as a wide variety of error messages that is sent by the refrigerator. In addition to these features, the refrigerator is also connected to an Android application that allows users to see the contents of the fridge, order food items, record transaction history and perform a variety of configurations. This device uses photodiodes placed at several points to detect the presence of objects, DS18B20 as temperature sensor, NodeMCU as a controller, and Raspberry Pi 3 as a home server. The controller will collect all sensor information and send them to RaspBerry Pi 3.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121058401","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266026
A. Rusli, O. Shigo
In recent years, requirements engineering has been generally considered to be fundamental in software engineering. It defines requirements such as goals, stakeholders, and behaviors of the required system and is the main foundation of software development. Our research proposed an integrated framework for requirements analysis which consists of four existing methods (i− framework, KAOS, Message Sequence Chart, and Problem Frames) and developed a tool to provide assistance to the user in using the framework for requirements analysis. Furthermore, we evaluated its support tool regarding its usability to provide assistance to the user in using the framework to analyze requirements. This paper will present the results that answer our early hypothesis in which the proposed framework and its support tool were expected to be able to enhance existing methods in requirements analysis. Additionally, it can also be seen that the integrated framework holds the potential to be a suitable tool for introducing requirements engineering for students especially those in higher education.
{"title":"An integrated tool to support early-phase requirements analysis","authors":"A. Rusli, O. Shigo","doi":"10.1109/CONMEDIA.2017.8266026","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266026","url":null,"abstract":"In recent years, requirements engineering has been generally considered to be fundamental in software engineering. It defines requirements such as goals, stakeholders, and behaviors of the required system and is the main foundation of software development. Our research proposed an integrated framework for requirements analysis which consists of four existing methods (i− framework, KAOS, Message Sequence Chart, and Problem Frames) and developed a tool to provide assistance to the user in using the framework for requirements analysis. Furthermore, we evaluated its support tool regarding its usability to provide assistance to the user in using the framework to analyze requirements. This paper will present the results that answer our early hypothesis in which the proposed framework and its support tool were expected to be able to enhance existing methods in requirements analysis. Additionally, it can also be seen that the integrated framework holds the potential to be a suitable tool for introducing requirements engineering for students especially those in higher education.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131058450","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266027
I. Nugraha, Tjong Wan Sen, R. B. Wahyu, Budi Sulistyo, Rosalina
Assembly instruction is an activity of collecting or grouping parts/objects/components that fit together to form a self-contained unit through assembly operations. Conventional object assembly instruction were usually illustrated in a paper manual. In this paper, augmented reality is presented for a user to interact with objects and proposed for enhancing assembly task. Augmented Reality (AR) integrates virtual information (computer graphics, text, sound) into the physical environment so that the user can percieve that information as existing in real life. Assembly with AR is the application that provides virtual 3D model and combine it into real live environment using their smartphone to help people who sometimes have a problem with the assembly instruction. The 3D model will be shown on the target marker which is the marker and the tracker for the model. By using this application, the users now will be able to see the models and its animation in other perspectives by moving around the target marker.
{"title":"Assembly instruction with augmented reality on Android application “assembly with AR”","authors":"I. Nugraha, Tjong Wan Sen, R. B. Wahyu, Budi Sulistyo, Rosalina","doi":"10.1109/CONMEDIA.2017.8266027","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266027","url":null,"abstract":"Assembly instruction is an activity of collecting or grouping parts/objects/components that fit together to form a self-contained unit through assembly operations. Conventional object assembly instruction were usually illustrated in a paper manual. In this paper, augmented reality is presented for a user to interact with objects and proposed for enhancing assembly task. Augmented Reality (AR) integrates virtual information (computer graphics, text, sound) into the physical environment so that the user can percieve that information as existing in real life. Assembly with AR is the application that provides virtual 3D model and combine it into real live environment using their smartphone to help people who sometimes have a problem with the assembly instruction. The 3D model will be shown on the target marker which is the marker and the tracker for the model. By using this application, the users now will be able to see the models and its animation in other perspectives by moving around the target marker.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123098886","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266021
Asri Samsiar, Ihsan Ibrahim, A. Aulia, R. F. Sari
The Internet of Things (IoT) is connecting tons of devices connected to internet, with high dynamicity and heterogeneity devices. IoT presents significant challenges from the wireless communications perspective besides the limitation in IP resource. It calls for new connection architecture based on data-centric approaches, namely Named Data Networking (NDN). Besides the Wi-Fi connection that widely used in IoT, NDN is challenged by the opportunity to re-architect the latest mobile network, that is Long-Term Evolution (LTE), through named-based communication. LTE could be a solution of limitation on Wi-Fi coverage area. In this paper, the experiment is conducted to compare the performance of NDN architecture over Wi-Fi and LTE, in order to show the possibility of LTE running over NDN. NdnSIM tool has been used to simulate the scenarios on IoT devices. Due to its simulation performed in a small-scale network for the simulation scenario, the result shows that the collection time between Wi-Fi and LTE over NDN, with varied number of producers, is the same. However, LTE has an advantage in further coverage distance that Wi-Fi connection cannot achieved or performed.
物联网(IoT)将大量设备连接到互联网上，具有高动态性和异构性。除了IP资源的限制外，物联网还从无线通信的角度提出了重大挑战。它需要基于以数据为中心的方法的新连接架构，即命名数据网络(NDN)。除了在物联网中广泛使用的Wi-Fi连接之外，NDN还面临着通过基于命名的通信重新构建最新移动网络即长期演进(LTE)的机会的挑战。LTE可以解决Wi-Fi覆盖范围有限的问题。本文通过实验比较了NDN架构在Wi-Fi和LTE上的性能，以展示LTE在NDN上运行的可能性。使用NdnSIM工具在物联网设备上进行场景模拟。由于在小规模网络中对模拟场景进行了仿真，结果表明，在不同生产者数量的情况下，Wi-Fi和LTE over NDN的采集时间是相同的。然而，LTE在更远的覆盖距离上具有Wi-Fi连接无法达到或执行的优势。
{"title":"Performance comparison of Wi-Fi and LTE for Internet of Things on named data networking","authors":"Asri Samsiar, Ihsan Ibrahim, A. Aulia, R. F. Sari","doi":"10.1109/CONMEDIA.2017.8266021","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266021","url":null,"abstract":"The Internet of Things (IoT) is connecting tons of devices connected to internet, with high dynamicity and heterogeneity devices. IoT presents significant challenges from the wireless communications perspective besides the limitation in IP resource. It calls for new connection architecture based on data-centric approaches, namely Named Data Networking (NDN). Besides the Wi-Fi connection that widely used in IoT, NDN is challenged by the opportunity to re-architect the latest mobile network, that is Long-Term Evolution (LTE), through named-based communication. LTE could be a solution of limitation on Wi-Fi coverage area. In this paper, the experiment is conducted to compare the performance of NDN architecture over Wi-Fi and LTE, in order to show the possibility of LTE running over NDN. NdnSIM tool has been used to simulate the scenarios on IoT devices. Due to its simulation performed in a small-scale network for the simulation scenario, the result shows that the collection time between Wi-Fi and LTE over NDN, with varied number of producers, is the same. However, LTE has an advantage in further coverage distance that Wi-Fi connection cannot achieved or performed.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116065297","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266037
Moch Fachri, Susi Juniastuti, S. M. S. Nugroho, M. Hariadi
Crowd evacution is a major safety issue in many public places. Efforts have been made to design the best evacuation plans using simulations and modeling of certain evacuation scenarios, in order to help prepare for the actual event. In some scenarios where the majority of evacuees are not familiar with the layout of the building, evacuees most familiar with the layout of the building should be appointed as group leaders. These leaders guide their evacuee group to safety, usually outside the building. This research employs leader-following behaviour, and multi-agent system with Reciprocal Velocity Obstacles (RVO) for navigation, thus creating leader-follower relationship between evacuees. Each evacuees, i.e. follower, tries to navigate to follow their respective group leader to reach their escape point together. Experiment results demonstrate the navigation of hundreds of agents in an evacuation scenario, which shows that the evacuees safely reached the evacuation point between 92.597 to 129.71 seconds.
{"title":"Crowd evacuation using multi-agent system with leader-following behaviour","authors":"Moch Fachri, Susi Juniastuti, S. M. S. Nugroho, M. Hariadi","doi":"10.1109/CONMEDIA.2017.8266037","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266037","url":null,"abstract":"Crowd evacution is a major safety issue in many public places. Efforts have been made to design the best evacuation plans using simulations and modeling of certain evacuation scenarios, in order to help prepare for the actual event. In some scenarios where the majority of evacuees are not familiar with the layout of the building, evacuees most familiar with the layout of the building should be appointed as group leaders. These leaders guide their evacuee group to safety, usually outside the building. This research employs leader-following behaviour, and multi-agent system with Reciprocal Velocity Obstacles (RVO) for navigation, thus creating leader-follower relationship between evacuees. Each evacuees, i.e. follower, tries to navigate to follow their respective group leader to reach their escape point together. Experiment results demonstrate the navigation of hundreds of agents in an evacuation scenario, which shows that the evacuees safely reached the evacuation point between 92.597 to 129.71 seconds.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130547336","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266036
N. Iswari, Wella, Ranny
The potential of fish production in Indonesia is very high because of the Indonesia territory which consists of waters (sea, lake, river, and pond). However, fish consumption in the community is still very low. Public awareness of the freshness of fish consumed also become an existing problem. Communities need facilities that can be used easily and accurately in choosing a fish worth consumption, because not infrequently the process of decomposition of fish is not realized by the fish distributors. In addition, the lack of the use of technology makes fishing production run slowly. The process of sorting fish manually makes the fish freshness that reaches consumer hands cannot be ascertained. In this research, a method to classify the fish freshness based on fish image was developed. k-Nearest Neighbour (kNN) was used as the classification algorithm based on fish image colours summarization. Accuracy result of the classification by using kNN was 91.36%. This indicates that the resulting method was acceptable. Meanwhile, the colour that determines the fish freshness the most was the black colour of the fish eyes. It was because the black colour had the highest Information Gain for all type of the fish used.
{"title":"Fish freshness classification method based on fish image using k-Nearest Neighbor","authors":"N. Iswari, Wella, Ranny","doi":"10.1109/CONMEDIA.2017.8266036","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266036","url":null,"abstract":"The potential of fish production in Indonesia is very high because of the Indonesia territory which consists of waters (sea, lake, river, and pond). However, fish consumption in the community is still very low. Public awareness of the freshness of fish consumed also become an existing problem. Communities need facilities that can be used easily and accurately in choosing a fish worth consumption, because not infrequently the process of decomposition of fish is not realized by the fish distributors. In addition, the lack of the use of technology makes fishing production run slowly. The process of sorting fish manually makes the fish freshness that reaches consumer hands cannot be ascertained. In this research, a method to classify the fish freshness based on fish image was developed. k-Nearest Neighbour (kNN) was used as the classification algorithm based on fish image colours summarization. Accuracy result of the classification by using kNN was 91.36%. This indicates that the resulting method was acceptable. Meanwhile, the colour that determines the fish freshness the most was the black colour of the fish eyes. It was because the black colour had the highest Information Gain for all type of the fish used.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131253258","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266025
Tenia Wahyuningrum, N. Rokhman, Aina Musdholifah
The rapid use of the internet in education field encourages website developers to make improvements in university website quality. University websites are also part of the criteria of a higher education institution performance appraisal. Thus, a good university is considered to have a good website. The website reflects the popularity and prestige of a college. There are at least three university ranking agencies of the world with different ratings on the quality of the website. Due to several elaborated and numerous criteria, the quality rating of the website is often associated with Multi-Criteria Decision-Making issues. Linear Weightage Model (LWM) and Simple Additive Weighting (SAW) are the simplest algorithm for data rank. This paper aims to compare LWM and SAW algorithm performance to determine the best method on ranking University websites. This research uses five testing of usability criteria: load time, page rank, traffic, stickiness, and backlink. The results of LWM algorithm of the experiment using the language of C++ have more rapid execution time in comparison to SAW. Based on the results of Pair sample t test, both algorithms have significant different effects on ranking results because of the different of normalization process.
{"title":"Algorithm comparison performance in assessing the quality of university websites","authors":"Tenia Wahyuningrum, N. Rokhman, Aina Musdholifah","doi":"10.1109/CONMEDIA.2017.8266025","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266025","url":null,"abstract":"The rapid use of the internet in education field encourages website developers to make improvements in university website quality. University websites are also part of the criteria of a higher education institution performance appraisal. Thus, a good university is considered to have a good website. The website reflects the popularity and prestige of a college. There are at least three university ranking agencies of the world with different ratings on the quality of the website. Due to several elaborated and numerous criteria, the quality rating of the website is often associated with Multi-Criteria Decision-Making issues. Linear Weightage Model (LWM) and Simple Additive Weighting (SAW) are the simplest algorithm for data rank. This paper aims to compare LWM and SAW algorithm performance to determine the best method on ranking University websites. This research uses five testing of usability criteria: load time, page rank, traffic, stickiness, and backlink. The results of LWM algorithm of the experiment using the language of C++ have more rapid execution time in comparison to SAW. Based on the results of Pair sample t test, both algorithms have significant different effects on ranking results because of the different of normalization process.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132008281","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266032
Vincentius Andrew Pratama, F. Natalia
In the past few decades, the use of expert system in information systems has become popular in many fields, such as in the health to diagnose some disease. Fever is a disease that is often considered common by the community as evidenced by data from a study where it was found that typhoid fever infected 800 to 100 thousand Indonesians citizen during 2008, while data collected by the Ministry of Health of the Republic of Indonesia in 2013, there have been 112,511 dengue cases Fever in 34 provinces in Indonesia and there were 871 people who died In order to help this cohort make decisions, our study proposed a design an expert system application to help rapid diagnose a disease with symptoms of fever by considering three kind of diseases: Typhoid Fever, Dengue Fever, and Measles. In this study, the system model gained from the Demspter Shafer method is shown in the implementation by using an example with mobile application.
{"title":"A dempster-shafer approach to an expert system design in diagnosis of febrile disease","authors":"Vincentius Andrew Pratama, F. Natalia","doi":"10.1109/CONMEDIA.2017.8266032","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266032","url":null,"abstract":"In the past few decades, the use of expert system in information systems has become popular in many fields, such as in the health to diagnose some disease. Fever is a disease that is often considered common by the community as evidenced by data from a study where it was found that typhoid fever infected 800 to 100 thousand Indonesians citizen during 2008, while data collected by the Ministry of Health of the Republic of Indonesia in 2013, there have been 112,511 dengue cases Fever in 34 provinces in Indonesia and there were 871 people who died In order to help this cohort make decisions, our study proposed a design an expert system application to help rapid diagnose a disease with symptoms of fever by considering three kind of diseases: Typhoid Fever, Dengue Fever, and Measles. In this study, the system model gained from the Demspter Shafer method is shown in the implementation by using an example with mobile application.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115058555","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 : 2017-09-25DOI: 10.1109/conmedia.2017.8266038
Novita Belinda Wunarso, Y. Soelistio
Even though speech-emotion recognition (SER) has been receiving much attention as research topic, there are still some disputes about which vocal features can identify certain emotion. Emotion expression is also known to be differed according to the cultural backgrounds that make it important to study SER specific to the culture where the language belongs to. Furthermore, only a few studies addresses the SER in Indonesian which what this study attempts to explore. In this study, we extract simple features from 3420 voice data gathered from 38 participants. The features are compared by means of linear mixed effect model which shows that people who are in emotional and non-emotional state can be differentiated by their speech duration. Using SVM and speech duration as input feature, we achieve 76.84% average accuracy in classifying emotional and non-emotional speech.
{"title":"Towards Indonesian speech-emotion automatic recognition (I-SpEAR)","authors":"Novita Belinda Wunarso, Y. Soelistio","doi":"10.1109/conmedia.2017.8266038","DOIUrl":"https://doi.org/10.1109/conmedia.2017.8266038","url":null,"abstract":"Even though speech-emotion recognition (SER) has been receiving much attention as research topic, there are still some disputes about which vocal features can identify certain emotion. Emotion expression is also known to be differed according to the cultural backgrounds that make it important to study SER specific to the culture where the language belongs to. Furthermore, only a few studies addresses the SER in Indonesian which what this study attempts to explore. In this study, we extract simple features from 3420 voice data gathered from 38 participants. The features are compared by means of linear mixed effect model which shows that people who are in emotional and non-emotional state can be differentiated by their speech duration. Using SVM and speech duration as input feature, we achieve 76.84% average accuracy in classifying emotional and non-emotional speech.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127276736","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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