Pub Date : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065858
Y. B. Dwi Setianto, Yustina Retno Wahyu Utami
Electronic Medical Records (EMR) is an evolution of the conventional Medical Record files. The evolution is inevitable due to information technology advancement. Electronic format brings flexibility and ease which is potential to better guarantee patients' rights to access the contents of the files in their medical records, according to the laws in Indonesia. This study designed a new model of EMR security access which is patients' rights-oriented and adjusted with the regulations and laws in Indonesia. The architecture of the model uses an Authentication Authorization and Accounting (AAA) server which also functions as EMR Index Server. To improve the data accessibility for patients and physicians authorization is done using Short Message Service in mobile technology.
{"title":"A new patients' rights oriented model of EMR access security","authors":"Y. B. Dwi Setianto, Yustina Retno Wahyu Utami","doi":"10.1109/ICACSIS.2014.7065858","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065858","url":null,"abstract":"Electronic Medical Records (EMR) is an evolution of the conventional Medical Record files. The evolution is inevitable due to information technology advancement. Electronic format brings flexibility and ease which is potential to better guarantee patients' rights to access the contents of the files in their medical records, according to the laws in Indonesia. This study designed a new model of EMR security access which is patients' rights-oriented and adjusted with the regulations and laws in Indonesia. The architecture of the model uses an Authentication Authorization and Accounting (AAA) server which also functions as EMR Index Server. To improve the data accessibility for patients and physicians authorization is done using Short Message Service in mobile technology.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128197108","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065821
M. Fathoni, Bambang Sridadi
A Tactical Integration System (TIS) in the Maritime Patrol Aircraft (MPA) is a system that serves to carry out the mission of surveillances, detection, positioning, and identify the objects in the ocean with video streaming. At current computing of video was done sequentially which involves many matrix operations with command repetition (looping) such as: sequential for, assuming that the processor used is one processor. Meanwhile, a multicore computer systems is already in a personal environment. Example: Intel Core 2 Duo (2 cores), i7 (8 core), Haswell. To maximize the performance of computer systems, Intel TBB (Threading Building Blocks) must be used in multicore computing / programming. In this study, has designed and implemented a software for parallel video streaming using Intel TBB framework Programs written in C + + on MS Visual Studio 2010 and run on computers based on Intel Core 2 Duo on MS Windows 7 operating system. System testing is performed sequential and parallel on avi video with compression quality factor (Q = 1, 5, 10). By the Amdahl's law limitation, the average encoder speedup for quality factor Q = 1 is 1.2665, for Q = 5 is 1.2911, and for Q = 10 is 1.3015. Whereas the average decoder speedup for quality factor Q = 1 is 1.3023, for Q = 5 is 1.3558, and for Q = 10 is 1.3776.
{"title":"Multicore computation of tactical integration system in the Maritime Patrol Aircraft using Intel Threading Building Block","authors":"M. Fathoni, Bambang Sridadi","doi":"10.1109/ICACSIS.2014.7065821","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065821","url":null,"abstract":"A Tactical Integration System (TIS) in the Maritime Patrol Aircraft (MPA) is a system that serves to carry out the mission of surveillances, detection, positioning, and identify the objects in the ocean with video streaming. At current computing of video was done sequentially which involves many matrix operations with command repetition (looping) such as: sequential for, assuming that the processor used is one processor. Meanwhile, a multicore computer systems is already in a personal environment. Example: Intel Core 2 Duo (2 cores), i7 (8 core), Haswell. To maximize the performance of computer systems, Intel TBB (Threading Building Blocks) must be used in multicore computing / programming. In this study, has designed and implemented a software for parallel video streaming using Intel TBB framework Programs written in C + + on MS Visual Studio 2010 and run on computers based on Intel Core 2 Duo on MS Windows 7 operating system. System testing is performed sequential and parallel on avi video with compression quality factor (Q = 1, 5, 10). By the Amdahl's law limitation, the average encoder speedup for quality factor Q = 1 is 1.2665, for Q = 5 is 1.2911, and for Q = 10 is 1.3015. Whereas the average decoder speedup for quality factor Q = 1 is 1.3023, for Q = 5 is 1.3558, and for Q = 10 is 1.3776.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128321460","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065852
Chanin Wongyai
This paper presents a new fault tolerance control unit model in cell-based architecture. The main feature of the model is that a control unit is able to individual repair that uses to improve system reliability in case of control units are failure. In the approach considered a cell to be multi-layers that separate repairing and detecting of each layer, and also used to support repair and detect faults between layers. This paper shows how the model can be used to repair cover a single fault and multiple faults. The reliability analysis shows the improving fault-tolerance of this model.
{"title":"Improve fault tolerance in cell-based evolve hardware architecture","authors":"Chanin Wongyai","doi":"10.1109/ICACSIS.2014.7065852","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065852","url":null,"abstract":"This paper presents a new fault tolerance control unit model in cell-based architecture. The main feature of the model is that a control unit is able to individual repair that uses to improve system reliability in case of control units are failure. In the approach considered a cell to be multi-layers that separate repairing and detecting of each layer, and also used to support repair and detect faults between layers. This paper shows how the model can be used to repair cover a single fault and multiple faults. The reliability analysis shows the improving fault-tolerance of this model.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122337227","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065843
Pauzi Ibrahim Nainggolan, H. Zaman, Azlina Ahmad
Social media is becoming a source for patients to share and seek health information. Previous research show many patients seek health information on social media either for themselves or to get advice on whether a physician is required to treat certain disease. However, the information available on social media is not entirely accurate and can be dangerous if it has not received a referral from a physician. As such, we propose a visualization tool for profiling of physicians and health information in social media. This tool can be used to oversee and verify dissemination information in social media. Development of this tool requires an initial study of physicians' involvement in social media. The initial study was conducted using an online questionnaire distributed through social networks and personal emails to the staff of the Faculty of Medicine at universities in Malaysia. The results of this study showed that physicians mainly use social media to gain knowledge or information and to increase popularity but not to communicate and discuss with patients.
{"title":"Physicians' involvement in social media on dissemination of health information","authors":"Pauzi Ibrahim Nainggolan, H. Zaman, Azlina Ahmad","doi":"10.1109/ICACSIS.2014.7065843","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065843","url":null,"abstract":"Social media is becoming a source for patients to share and seek health information. Previous research show many patients seek health information on social media either for themselves or to get advice on whether a physician is required to treat certain disease. However, the information available on social media is not entirely accurate and can be dangerous if it has not received a referral from a physician. As such, we propose a visualization tool for profiling of physicians and health information in social media. This tool can be used to oversee and verify dissemination information in social media. Development of this tool requires an initial study of physicians' involvement in social media. The initial study was conducted using an online questionnaire distributed through social networks and personal emails to the staff of the Faculty of Medicine at universities in Malaysia. The results of this study showed that physicians mainly use social media to gain knowledge or information and to increase popularity but not to communicate and discuss with patients.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123939392","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065881
D. A. Ramadhan, Yani Nurhadryani, I. Hermadi
The advances in information and communication technologies are not only have revolutionized the society daily routine, but also offer a new way of interaction between community elements. In politics, the Internet has been used by political figures as a medium to interact with their constituents. Specifically, the social media have been enabling more interactive activities in political campaign. This research presents an analysis of social media usage in political campaign in DKI Jakarta legislative election in 2014. In detail, it explores the correlation between the votes gained by the legislative candidates and the social media that they used. Further, this research also recommend an application to support legislative candidate campaign in social media. The period when the survey was taken is 5-9 April 2014. In this period, the social media activities are observed in each legislative candidate pages or sites. This research shows that the usage of social media, especially Facebook and Twitter, is strongly correlated with the number of votes gained by the candidate. Therefore, we recommend the candidates to utilize the social media as one of their campaign strategies.
{"title":"Campaign 2.0: Analysis of social media utilization in 2014 Jakarta legislative election","authors":"D. A. Ramadhan, Yani Nurhadryani, I. Hermadi","doi":"10.1109/ICACSIS.2014.7065881","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065881","url":null,"abstract":"The advances in information and communication technologies are not only have revolutionized the society daily routine, but also offer a new way of interaction between community elements. In politics, the Internet has been used by political figures as a medium to interact with their constituents. Specifically, the social media have been enabling more interactive activities in political campaign. This research presents an analysis of social media usage in political campaign in DKI Jakarta legislative election in 2014. In detail, it explores the correlation between the votes gained by the legislative candidates and the social media that they used. Further, this research also recommend an application to support legislative candidate campaign in social media. The period when the survey was taken is 5-9 April 2014. In this period, the social media activities are observed in each legislative candidate pages or sites. This research shows that the usage of social media, especially Facebook and Twitter, is strongly correlated with the number of votes gained by the candidate. Therefore, we recommend the candidates to utilize the social media as one of their campaign strategies.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115409660","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065874
I. Satria, A. Kurnia, Yani Nurhadryani
The use of social media (facebook, Twitter and youtube) is an activity that is most in demand by Internet users in Indonesia. The media can be used in the election campaign to shape public opinion in order to influence voters and increase participation of voters. This paper analyzes the effect of e-campaign on Indonesian Presidential election 2014 study conducted in West Java (Bogor City). Respondents were asked to complete a questionnaire containing the activities undertaken in the use of the website, facebook, Twitter and youtube about the presidential candidates and campaign statements to the effect of e-voting decision. The relationship between the use of websites and social media by voters with the voting decision are examined using Spearman correlation. Based on the analysis found score relative overall respondents agreed argue that campaign through the website, Twitter, facebook page, and youtube channel is able to influence their voting decision to choose one of the Candidates. Correlation test shows there are significant relationship between website utilization, social media towards voting decision.
{"title":"Influence of presidential candidates e-campaign towards voters in 2014 presidential election in Bogor City","authors":"I. Satria, A. Kurnia, Yani Nurhadryani","doi":"10.1109/ICACSIS.2014.7065874","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065874","url":null,"abstract":"The use of social media (facebook, Twitter and youtube) is an activity that is most in demand by Internet users in Indonesia. The media can be used in the election campaign to shape public opinion in order to influence voters and increase participation of voters. This paper analyzes the effect of e-campaign on Indonesian Presidential election 2014 study conducted in West Java (Bogor City). Respondents were asked to complete a questionnaire containing the activities undertaken in the use of the website, facebook, Twitter and youtube about the presidential candidates and campaign statements to the effect of e-voting decision. The relationship between the use of websites and social media by voters with the voting decision are examined using Spearman correlation. Based on the analysis found score relative overall respondents agreed argue that campaign through the website, Twitter, facebook page, and youtube channel is able to influence their voting decision to choose one of the Candidates. Correlation test shows there are significant relationship between website utilization, social media towards voting decision.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126598630","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065841
W. Septiani, Marimin Marimin, Y. Herdiyeni, L. Haditjaroko
The objective of this paper was to develop a framework model for sustainable supply chain risk for dairy industry based on knowledge base. It presented a conceptual framework with integrated risk supply chain and knowledge base systems. The critical point of dairy located on the product which has the characteristic easy damage. Risk-damaged dairy contaminated with bacteria due to improper handling of dairy. Risk occurred in each activity in the supply chain network ranging from farmer, cooperative and dairy processing industry. The structured approach of supply chain risk divided into the phases of risk identification, risk measurement and risk assessment, risk evaluation and risk mitigation and contingency plans; and risk control and monitoring system based on knowledge base system. Adding Knowledge base component to risk supply chain will produce the following process: knowledge base risk capture, knowledge base risk discovery, knowledge base risk examination, knowledge base risk sharing, knowledge base risk evaluation and knowledge base risk repository. The relationship between risk factor, risks and their consequences are represented on Failure Mode and Effect Analysis (FMEA) and Hierarchical Risk Breakdown Structure (HRBS). Likelihood of risk event occurring, the level of dependence between risks and severity of risk event are quantified using linguistic variables and fuzzy logic. The proposed system was designed by Intelligent Decision Support System (IDSS). The design of this model was able to improve the effectiveness of decision-making with regard to the organization of knowledge, storage and sharing of knowledge in the agro-industry supply chain risks dairy.
{"title":"Framework model of sustainable supply chain risk for dairy agroindustry based on knowledge base","authors":"W. Septiani, Marimin Marimin, Y. Herdiyeni, L. Haditjaroko","doi":"10.1109/ICACSIS.2014.7065841","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065841","url":null,"abstract":"The objective of this paper was to develop a framework model for sustainable supply chain risk for dairy industry based on knowledge base. It presented a conceptual framework with integrated risk supply chain and knowledge base systems. The critical point of dairy located on the product which has the characteristic easy damage. Risk-damaged dairy contaminated with bacteria due to improper handling of dairy. Risk occurred in each activity in the supply chain network ranging from farmer, cooperative and dairy processing industry. The structured approach of supply chain risk divided into the phases of risk identification, risk measurement and risk assessment, risk evaluation and risk mitigation and contingency plans; and risk control and monitoring system based on knowledge base system. Adding Knowledge base component to risk supply chain will produce the following process: knowledge base risk capture, knowledge base risk discovery, knowledge base risk examination, knowledge base risk sharing, knowledge base risk evaluation and knowledge base risk repository. The relationship between risk factor, risks and their consequences are represented on Failure Mode and Effect Analysis (FMEA) and Hierarchical Risk Breakdown Structure (HRBS). Likelihood of risk event occurring, the level of dependence between risks and severity of risk event are quantified using linguistic variables and fuzzy logic. The proposed system was designed by Intelligent Decision Support System (IDSS). The design of this model was able to improve the effectiveness of decision-making with regard to the organization of knowledge, storage and sharing of knowledge in the agro-industry supply chain risks dairy.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131709173","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065842
R. Uy, J. Ilao, E. Punzalan, Mariel Prane Ong
Digital images of methyl violet dye and methyl orange solutions were obtained under controlled contributions to simulate images of algal blooms. From those images, feature extraction based from both Red-Green-Blue (RGB) and Hue-Saturation-Value (HSV) color space were used. The independent variable C, which is the concentration value of the dye solution, is mapped independently with the R-channel, G-channel and B-channel as well as the H-channel, S-channel and V-channel. Linear regression and non-linear regression techniques were used to determine the best fit equation while Akaike Information Criterion (AIC) were used to compare which among the equations provide the best fit.
在控制贡献下获得甲基紫染料和甲基橙溶液的数字图像，以模拟藻华图像。从这些图像中，使用基于红-绿-蓝(RGB)和色调-饱和度值(HSV)颜色空间的特征提取。自变量C为染料溶液的浓度值，与r通道、g通道、b通道以及h通道、s通道、v通道独立映射。采用线性回归和非线性回归技术确定最优拟合方程，并采用赤池信息准则(Akaike Information Criterion, AIC)对最优拟合方程进行比较。
{"title":"Alternative feature extraction from digitized images of dye solutions as a model for algal bloom remote sensing","authors":"R. Uy, J. Ilao, E. Punzalan, Mariel Prane Ong","doi":"10.1109/ICACSIS.2014.7065842","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065842","url":null,"abstract":"Digital images of methyl violet dye and methyl orange solutions were obtained under controlled contributions to simulate images of algal blooms. From those images, feature extraction based from both Red-Green-Blue (RGB) and Hue-Saturation-Value (HSV) color space were used. The independent variable C, which is the concentration value of the dye solution, is mapped independently with the R-channel, G-channel and B-channel as well as the H-channel, S-channel and V-channel. Linear regression and non-linear regression techniques were used to determine the best fit equation while Akaike Information Criterion (AIC) were used to compare which among the equations provide the best fit.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"431 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133545136","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065892
Wina, D. Herwindiati, S. M. Isa
This paper discusses the classic and robust discriminant analysis algorithm applied to the classification of rice fields, water, buildings, and bare land areas. Discriminant Analysis for multiple groups is often done. This method relies on the sample averages and covariance matrices computed from the training sample. Since sample averages and covariance matrices are not robust, it has been proposed to use robust estimators and covariance instead. In order to obtain a robust procedure with high breakdown point for discriminant analysis, the classical estimators are replaced by Feasible Solution Algorithm (FSA). The input data is a time-series of Landsat 8 Normalize Difference Vegetation Index (NDVI). The classification process is guided over two steps, training and classification. The purpose of the training step is to produce discriminant functions using FSA estimators, and the purpose of the classification step is to classify rice fields, water, buildings and bare land areas. The aim of this paper is to measure the accuracy of Classic and Robust Discriminant Analysis to classify the rice fields, water, buildings and bare land areas from Landsat 8 NDVI time series.
{"title":"Robust discriminant analysis for classification of remote sensing data","authors":"Wina, D. Herwindiati, S. M. Isa","doi":"10.1109/ICACSIS.2014.7065892","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065892","url":null,"abstract":"This paper discusses the classic and robust discriminant analysis algorithm applied to the classification of rice fields, water, buildings, and bare land areas. Discriminant Analysis for multiple groups is often done. This method relies on the sample averages and covariance matrices computed from the training sample. Since sample averages and covariance matrices are not robust, it has been proposed to use robust estimators and covariance instead. In order to obtain a robust procedure with high breakdown point for discriminant analysis, the classical estimators are replaced by Feasible Solution Algorithm (FSA). The input data is a time-series of Landsat 8 Normalize Difference Vegetation Index (NDVI). The classification process is guided over two steps, training and classification. The purpose of the training step is to produce discriminant functions using FSA estimators, and the purpose of the classification step is to classify rice fields, water, buildings and bare land areas. The aim of this paper is to measure the accuracy of Classic and Robust Discriminant Analysis to classify the rice fields, water, buildings and bare land areas from Landsat 8 NDVI time series.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133890912","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065823
A. Buono, M. A. Agmalaro, A. Almira
Indonesia has abundant natural resources in agriculture. Good agricultural results can be obtained by determining a good growing season plan. One of important factors which determines the successful of crop is the length of the rainy season. The length of the rainy season is dynamic and difficult to be controlled. Therefore the planning of the growing season becomes inaccurate and cause crop failures. This research aims to develop a model to predict the length of the rainy season using time delay neural network (TDNN). Observational data used in this research is the length of rainy season from three weather and climate stations of the Pacitan region from 1982/1983 to 2011/2012. Predictor data used in this reserach is sea surface temperature (SST) derived from the region of Nino 1+2, Nino 3, Nino 4, and Nino 3.4 from 1982 to 2011. Model with the best accuracy was obtained by Pringkuku station with RMSE of 1.97 with parameters of delay [0 12 3], learning rate 0.1, 40 hidden neurons, and predictors of Nino 3 and R-squared of 0.82 with parameters of delay [0 1], learning rate 0.3, 5 hidden neurons, and predictors of Nino 3.
{"title":"Forecasting the length of the rainy season using time delay neural network","authors":"A. Buono, M. A. Agmalaro, A. Almira","doi":"10.1109/ICACSIS.2014.7065823","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065823","url":null,"abstract":"Indonesia has abundant natural resources in agriculture. Good agricultural results can be obtained by determining a good growing season plan. One of important factors which determines the successful of crop is the length of the rainy season. The length of the rainy season is dynamic and difficult to be controlled. Therefore the planning of the growing season becomes inaccurate and cause crop failures. This research aims to develop a model to predict the length of the rainy season using time delay neural network (TDNN). Observational data used in this research is the length of rainy season from three weather and climate stations of the Pacitan region from 1982/1983 to 2011/2012. Predictor data used in this reserach is sea surface temperature (SST) derived from the region of Nino 1+2, Nino 3, Nino 4, and Nino 3.4 from 1982 to 2011. Model with the best accuracy was obtained by Pringkuku station with RMSE of 1.97 with parameters of delay [0 12 3], learning rate 0.1, 40 hidden neurons, and predictors of Nino 3 and R-squared of 0.82 with parameters of delay [0 1], learning rate 0.3, 5 hidden neurons, and predictors of Nino 3.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122249002","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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