Pub Date : 2016-10-01DOI: 10.1109/ICSITECH.2016.7852657
K. A. Laksitowening, Amarilis Putri Yanuarifiani, Yanuar Firdaus Arie Wibowo
The implementation of e-learning challenges lecturers to optimize the learning process of every student. Every student is unique and has different needs related to appropriate learning methodologies. Therefore, students need personal treatment according to their individual learning styles. It is necessary that e-learning system to be enhanced with personalization features. Personalization allows adjustments to the learning environment based on learning styles. With personalization, students are offered learning materials that are tailored to their learning style. This research proposed enhancement on e-learning system that accommodates personalization based on Felder-Silverman Learning Style Model. A student's learning style determine the order of learning materials that are presented to him. This research utilized ontology in modeling objects and relation that are required in the proposed e-learning system.
{"title":"Enhancing e-learning system to support learning style based personalization","authors":"K. A. Laksitowening, Amarilis Putri Yanuarifiani, Yanuar Firdaus Arie Wibowo","doi":"10.1109/ICSITECH.2016.7852657","DOIUrl":"https://doi.org/10.1109/ICSITECH.2016.7852657","url":null,"abstract":"The implementation of e-learning challenges lecturers to optimize the learning process of every student. Every student is unique and has different needs related to appropriate learning methodologies. Therefore, students need personal treatment according to their individual learning styles. It is necessary that e-learning system to be enhanced with personalization features. Personalization allows adjustments to the learning environment based on learning styles. With personalization, students are offered learning materials that are tailored to their learning style. This research proposed enhancement on e-learning system that accommodates personalization based on Felder-Silverman Learning Style Model. A student's learning style determine the order of learning materials that are presented to him. This research utilized ontology in modeling objects and relation that are required in the proposed e-learning system.","PeriodicalId":447090,"journal":{"name":"2016 2nd International Conference on Science in Information Technology (ICSITech)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114586019","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 : 2016-10-01DOI: 10.1109/ICSITECH.2016.7852650
Danial Hooshyar, Chanhee Lee, Heuiseok Lim
Open-ended educational systems such as games have been broadly under investigation in recent years due to their potential in making learning enjoyable and offering the adaptive pedagogy of intelligent tutoring systems. The most important challenge in building such systems is to predict individual behavior which results in better understanding of the learning process. Model-based methods are a standard way to learn individual behavior in highly-structured systems. However, these methods heavily rely on expert domain knowledge. Since adaptive educational games may create a huge space of actions, applying model-based approaches in these systems are very difficult. In order to counter this difficulty, researchers utilize data-driven methods that are not dependent on expert domain knowledge to learn a subject's behavior based on a history of user interactions. Due to the fact that the potential of applying data-driven approaches in adaptive educational games is still missing, the goal of this report is to cater a survey in the area in order to ease comprehending the state of the art.
{"title":"A survey on data-driven approaches in educational games","authors":"Danial Hooshyar, Chanhee Lee, Heuiseok Lim","doi":"10.1109/ICSITECH.2016.7852650","DOIUrl":"https://doi.org/10.1109/ICSITECH.2016.7852650","url":null,"abstract":"Open-ended educational systems such as games have been broadly under investigation in recent years due to their potential in making learning enjoyable and offering the adaptive pedagogy of intelligent tutoring systems. The most important challenge in building such systems is to predict individual behavior which results in better understanding of the learning process. Model-based methods are a standard way to learn individual behavior in highly-structured systems. However, these methods heavily rely on expert domain knowledge. Since adaptive educational games may create a huge space of actions, applying model-based approaches in these systems are very difficult. In order to counter this difficulty, researchers utilize data-driven methods that are not dependent on expert domain knowledge to learn a subject's behavior based on a history of user interactions. Due to the fact that the potential of applying data-driven approaches in adaptive educational games is still missing, the goal of this report is to cater a survey in the area in order to ease comprehending the state of the art.","PeriodicalId":447090,"journal":{"name":"2016 2nd International Conference on Science in Information Technology (ICSITech)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114514929","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 : 2016-10-01DOI: 10.1109/ICSITECH.2016.7852613
Ida Bagus Kerthyayana Manuaba
In contrast to direct manual control of manipulators, telerobotic interaction based on human supervisory control allows operators to plan the movement of the remote machine by entering a series of commands as pre-defined positions. There are two possible kinds of response movements from executing this series of commands. Firstly, the robot moves towards the newly defined position immediately; or, secondly, the robot moves to achieve all the queued series of positions one by one. This paper describes an experiment to test the performance of two kinds of response movements under varying visual feedback scenarios. By applying a mixed reality environment as the telerobotics interface, this experiment makes use of virtual objects to provide additional information for planning and monitoring the process. The highest productivity is achieved using a queue-based model of interaction with additional visual cues. This is also compared to direct manual control and found to be considerably superior.
{"title":"Response models for series of commands in gaming environment","authors":"Ida Bagus Kerthyayana Manuaba","doi":"10.1109/ICSITECH.2016.7852613","DOIUrl":"https://doi.org/10.1109/ICSITECH.2016.7852613","url":null,"abstract":"In contrast to direct manual control of manipulators, telerobotic interaction based on human supervisory control allows operators to plan the movement of the remote machine by entering a series of commands as pre-defined positions. There are two possible kinds of response movements from executing this series of commands. Firstly, the robot moves towards the newly defined position immediately; or, secondly, the robot moves to achieve all the queued series of positions one by one. This paper describes an experiment to test the performance of two kinds of response movements under varying visual feedback scenarios. By applying a mixed reality environment as the telerobotics interface, this experiment makes use of virtual objects to provide additional information for planning and monitoring the process. The highest productivity is achieved using a queue-based model of interaction with additional visual cues. This is also compared to direct manual control and found to be considerably superior.","PeriodicalId":447090,"journal":{"name":"2016 2nd International Conference on Science in Information Technology (ICSITech)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116346733","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 : 2016-10-01DOI: 10.1109/ICSITECH.2016.7852607
Fiona Yunisa, Suharijto
Push notification is a mechanism that allows individuals to receive updated information quickly. Push notification delivery needs to be effectived and has to be paid attention to time zone differences between countries in order to generate time-appropriate notifications. This push notification system was developed using distributed event-based system approach. The research methodology consists of four stages: initial research, data collection and processing, system development, and evaluation. The result of this research is a scalable web-based push notification system supported by the usage of scheduler and consumer that can help the company send notifications about game updates easier and quicker to millions of mobile devices.
{"title":"Push notification system to mobile game player using distributed event-based system approach","authors":"Fiona Yunisa, Suharijto","doi":"10.1109/ICSITECH.2016.7852607","DOIUrl":"https://doi.org/10.1109/ICSITECH.2016.7852607","url":null,"abstract":"Push notification is a mechanism that allows individuals to receive updated information quickly. Push notification delivery needs to be effectived and has to be paid attention to time zone differences between countries in order to generate time-appropriate notifications. This push notification system was developed using distributed event-based system approach. The research methodology consists of four stages: initial research, data collection and processing, system development, and evaluation. The result of this research is a scalable web-based push notification system supported by the usage of scheduler and consumer that can help the company send notifications about game updates easier and quicker to millions of mobile devices.","PeriodicalId":447090,"journal":{"name":"2016 2nd International Conference on Science in Information Technology (ICSITech)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124027100","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 : 2016-10-01DOI: 10.1109/ICSITECH.2016.7852618
F. Nhita, D. Saepudin, Danang Triantoro, Adiwijaya, U. N. Wisesty
Moving Average and Soft Computing is an algorithm widely used for forecasting especially for rainfall forecasting. Rainfall forecasting information is crucial for agriculture in Bandung Regency so that a planting season calendar suitable for each plant could be given. To get a better result, Five types of Moving Average algorithm were used on data preprocessing. Rainfall forecasting was done by using four hybrid algorithm on Soft Computing, which were ANFIS, Evolving Fuzzy, Fuzzy-Grammatical Evolution, and ANN-Nested Genetic Algorithm. Chromosome representation done on ANN-Nested Genetic Algorithm is different than common Evolving Neural Network algorithm. Result of rainfall forecasting was used to forecast crops, corns, and potatoes planting calendar. The experiment shown that ANFIS algorithm gives best MAPE training of 0.1065 but ANN-NGA algorithm gives best MAPE testing of 0.127. Planting calendar forecasting used the best prediction model of Modified Weighted Moving Average and ANFIS with accuracy of 91.67% for crops, corns, and potatoes.
{"title":"Implementation of Moving Average and Soft Computing algorithm to support planting season calendar forecasting system on mobile device","authors":"F. Nhita, D. Saepudin, Danang Triantoro, Adiwijaya, U. N. Wisesty","doi":"10.1109/ICSITECH.2016.7852618","DOIUrl":"https://doi.org/10.1109/ICSITECH.2016.7852618","url":null,"abstract":"Moving Average and Soft Computing is an algorithm widely used for forecasting especially for rainfall forecasting. Rainfall forecasting information is crucial for agriculture in Bandung Regency so that a planting season calendar suitable for each plant could be given. To get a better result, Five types of Moving Average algorithm were used on data preprocessing. Rainfall forecasting was done by using four hybrid algorithm on Soft Computing, which were ANFIS, Evolving Fuzzy, Fuzzy-Grammatical Evolution, and ANN-Nested Genetic Algorithm. Chromosome representation done on ANN-Nested Genetic Algorithm is different than common Evolving Neural Network algorithm. Result of rainfall forecasting was used to forecast crops, corns, and potatoes planting calendar. The experiment shown that ANFIS algorithm gives best MAPE training of 0.1065 but ANN-NGA algorithm gives best MAPE testing of 0.127. Planting calendar forecasting used the best prediction model of Modified Weighted Moving Average and ANFIS with accuracy of 91.67% for crops, corns, and potatoes.","PeriodicalId":447090,"journal":{"name":"2016 2nd International Conference on Science in Information Technology (ICSITech)","volume":"23 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132419487","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 : 2016-10-01DOI: 10.1109/ICSITECH.2016.7852598
Sucipto, Kusrini, Emha Luthfi Taufiq
The background of the research is to analyze data derived from an elucidation of catfish and carp diseases in Kediri, East Java, Indonesia. The research shows that data about fish's disease history have not been used effectively because it is only be collected. Data about fish's symptom history used by fish trainer only present the number of fish that get disease. Data about fish's history should be also optimized to discover the relationship among fish's disease. Thus, anticipation about disease that always attack fish could be prevented earlier. The research is done to understand the relationship history among fish's disease. Then the accuracy of relationship quality is measured to acquire the quality of data properly so it can be worked to identify fish's disease. Data relationship quality among fish's disease symptoms should be understood to know how is the accuracy of datum classification obtained. A proper method is required to extract information from data obtained. There are many data-mining classification algorithms such as CART, CHAID, Rain Forest, and C4.5. But, the C4.5 algorithm is appropriate for this research used to form decision tree for data quality assessed from accurate performance of some multi-class fish diseases. This research uses 1120 data involving six diseases. The data were obtained from Agriculture Board (fishery subdivision) of Kediri Regency. The result shows that C4.5 algorithm is well to do for both a low and high accuracy class at 55.3 and 88.4 percent.
{"title":"Classification method of multi-class on C4.5 algorithm for fish diseases","authors":"Sucipto, Kusrini, Emha Luthfi Taufiq","doi":"10.1109/ICSITECH.2016.7852598","DOIUrl":"https://doi.org/10.1109/ICSITECH.2016.7852598","url":null,"abstract":"The background of the research is to analyze data derived from an elucidation of catfish and carp diseases in Kediri, East Java, Indonesia. The research shows that data about fish's disease history have not been used effectively because it is only be collected. Data about fish's symptom history used by fish trainer only present the number of fish that get disease. Data about fish's history should be also optimized to discover the relationship among fish's disease. Thus, anticipation about disease that always attack fish could be prevented earlier. The research is done to understand the relationship history among fish's disease. Then the accuracy of relationship quality is measured to acquire the quality of data properly so it can be worked to identify fish's disease. Data relationship quality among fish's disease symptoms should be understood to know how is the accuracy of datum classification obtained. A proper method is required to extract information from data obtained. There are many data-mining classification algorithms such as CART, CHAID, Rain Forest, and C4.5. But, the C4.5 algorithm is appropriate for this research used to form decision tree for data quality assessed from accurate performance of some multi-class fish diseases. This research uses 1120 data involving six diseases. The data were obtained from Agriculture Board (fishery subdivision) of Kediri Regency. The result shows that C4.5 algorithm is well to do for both a low and high accuracy class at 55.3 and 88.4 percent.","PeriodicalId":447090,"journal":{"name":"2016 2nd International Conference on Science in Information Technology (ICSITech)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116592746","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 : 2016-10-01DOI: 10.1109/ICSITECH.2016.7852658
Haviluddin, Arda Yunianta, A. H. Kridalaksana, Z. Arifin, B. Kresnapati, F. Rahman, A. F. O. Gaffar, Hendra Yuni Irawan, M. Mulyo, A. Pranolo
Currently, the Internet is one important part of the campus infrastructure that supports the teaching and learning activities. The important part of the internet facility is the provided bandwidth as Bandwidth management to teaching and learning is indispensable. In this study, an analysis and cluster of the university internet traffic is required as bandwidth management decision support. Therefore, Self-Organizing Maps (SOM) as a clustering algorithm bandwidth usage was implemented. The results showed that the SOM method can perform clustering. Furthermore, the clustering result could be a recommendation management bandwidth for network administrator.
{"title":"Modelling of network traffic usage using self-organizing maps techniques","authors":"Haviluddin, Arda Yunianta, A. H. Kridalaksana, Z. Arifin, B. Kresnapati, F. Rahman, A. F. O. Gaffar, Hendra Yuni Irawan, M. Mulyo, A. Pranolo","doi":"10.1109/ICSITECH.2016.7852658","DOIUrl":"https://doi.org/10.1109/ICSITECH.2016.7852658","url":null,"abstract":"Currently, the Internet is one important part of the campus infrastructure that supports the teaching and learning activities. The important part of the internet facility is the provided bandwidth as Bandwidth management to teaching and learning is indispensable. In this study, an analysis and cluster of the university internet traffic is required as bandwidth management decision support. Therefore, Self-Organizing Maps (SOM) as a clustering algorithm bandwidth usage was implemented. The results showed that the SOM method can perform clustering. Furthermore, the clustering result could be a recommendation management bandwidth for network administrator.","PeriodicalId":447090,"journal":{"name":"2016 2nd International Conference on Science in Information Technology (ICSITech)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124951550","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 : 2016-10-01DOI: 10.1109/ICSITECH.2016.7852651
H. A. Nugroho, T. Lestari, Rezty Amalia Aras, I. Ardiyanto
Retinal vessel extraction is used to provide the information about the pathology characteristic of retinal related diseases, such as diabetic retinopathy (DR). According to WHO data in 2002, DR placed at the fifth rank disease causing of blindness after cataract, glaucoma, macular degeneration and corneal opacities. In previous research works, several methods have been proposed for feature extraction of retinal vessels by using morphological methods. This paper compares two different types of morphological method. The methods are morphological opening and morphological bottom hat transformation. These methods are applied on colour fundus images from DRIVE and STARE databases. The performance is evaluated by accuracy, sensitivity and specificity. Results show that morphological bottom hat transformation performs better than morphological opening.
{"title":"Comparison of two different types of morphological method for feature extraction of retinal vessels in colour fundus images","authors":"H. A. Nugroho, T. Lestari, Rezty Amalia Aras, I. Ardiyanto","doi":"10.1109/ICSITECH.2016.7852651","DOIUrl":"https://doi.org/10.1109/ICSITECH.2016.7852651","url":null,"abstract":"Retinal vessel extraction is used to provide the information about the pathology characteristic of retinal related diseases, such as diabetic retinopathy (DR). According to WHO data in 2002, DR placed at the fifth rank disease causing of blindness after cataract, glaucoma, macular degeneration and corneal opacities. In previous research works, several methods have been proposed for feature extraction of retinal vessels by using morphological methods. This paper compares two different types of morphological method. The methods are morphological opening and morphological bottom hat transformation. These methods are applied on colour fundus images from DRIVE and STARE databases. The performance is evaluated by accuracy, sensitivity and specificity. Results show that morphological bottom hat transformation performs better than morphological opening.","PeriodicalId":447090,"journal":{"name":"2016 2nd International Conference on Science in Information Technology (ICSITech)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131254333","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 : 2016-10-01DOI: 10.1109/ICSITECH.2016.7852661
Sakuna Anuvareepong
The purpose of this paper is to examine the awareness of SMEs hotel customers on the use of innovative channels via mobile technology and Internet services. The implications of this paper are useful in the two folds. Firstly, those are the SMEs hotels who are seeking for the innovative channels to serve their customer's needs and to be used as their competitive advantages to compete with their competitors. Secondly, those are the digital service providers regarding mobile technology and Internet services including hardware, software, peopleware, network infrastructure including e-marketing service providers who serve specifically this business segment. The proposed model comprises the activities of hotel customers using multiple channels via mobile technology and Internet services. The result showed that hotel customers of SMEs in hotel business in small/medium scale, have high level of awareness on using mobile technology/Internet services at significant level of 95 percent confidence level, which include social media channels in serving the activities of searching surrounding attractions of the hotel businesses in Thailand.
{"title":"The assessment of hospitality and tourism SMEs awareness on the use of mobile technology and Internet services - a case study of hotel businesses in Thailand","authors":"Sakuna Anuvareepong","doi":"10.1109/ICSITECH.2016.7852661","DOIUrl":"https://doi.org/10.1109/ICSITECH.2016.7852661","url":null,"abstract":"The purpose of this paper is to examine the awareness of SMEs hotel customers on the use of innovative channels via mobile technology and Internet services. The implications of this paper are useful in the two folds. Firstly, those are the SMEs hotels who are seeking for the innovative channels to serve their customer's needs and to be used as their competitive advantages to compete with their competitors. Secondly, those are the digital service providers regarding mobile technology and Internet services including hardware, software, peopleware, network infrastructure including e-marketing service providers who serve specifically this business segment. The proposed model comprises the activities of hotel customers using multiple channels via mobile technology and Internet services. The result showed that hotel customers of SMEs in hotel business in small/medium scale, have high level of awareness on using mobile technology/Internet services at significant level of 95 percent confidence level, which include social media channels in serving the activities of searching surrounding attractions of the hotel businesses in Thailand.","PeriodicalId":447090,"journal":{"name":"2016 2nd International Conference on Science in Information Technology (ICSITech)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128137338","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 : 2016-10-01DOI: 10.1109/ICSITECH.2016.7852624
N. Rokhman, Lubab Saifuddin
The increase of human activities has lead to the need for an activity reminder system. Nowdays, a mobile device has become a daily communication device. An activity reminder system that runs on a mobile device is more advantageous because the user does not need any additional device. Mobile device can be accessed anytime and anywhere. In this paper, an activity reminder system based on location and time has been proposed. The reminder system uses the venue on Foursquare and Google map. By using this reminder system, a notification will be given to the user when the user's location is detected either near the venue or when the time in is close to the time of the activity.
{"title":"Location and time based reminder system on Android mobile device","authors":"N. Rokhman, Lubab Saifuddin","doi":"10.1109/ICSITECH.2016.7852624","DOIUrl":"https://doi.org/10.1109/ICSITECH.2016.7852624","url":null,"abstract":"The increase of human activities has lead to the need for an activity reminder system. Nowdays, a mobile device has become a daily communication device. An activity reminder system that runs on a mobile device is more advantageous because the user does not need any additional device. Mobile device can be accessed anytime and anywhere. In this paper, an activity reminder system based on location and time has been proposed. The reminder system uses the venue on Foursquare and Google map. By using this reminder system, a notification will be given to the user when the user's location is detected either near the venue or when the time in is close to the time of the activity.","PeriodicalId":447090,"journal":{"name":"2016 2nd International Conference on Science in Information Technology (ICSITech)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123177644","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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