Pub Date : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065885
Ida Bagus Putu Peradnya Dinata, B. Hardian
One way to predict the behavior of smart home lighting is by using machine learning. Currently many methods of supervised learning that used for this problem, one of them is decision tree method. Very Fast Decision Tree (VFDT) as one of the decision tree method that has advantages in online machine learning that may useful in smart home, but there are still some room of improvisation that can improve accuracy of VFDT. The experiment result is obtained that VFDT is better than Naïve Bayes (NB) and Artificial Neural Network (ANN) in offline and online experiment. In addition, Kernel Density Estimation (KDE) and improved Laplace correction that is used as improvisation of VFDT is able to increase the accuracy and Matthews Correlation Coefficient (MCC) of VFDT in predicting smart home lighting switch usage.
预测智能家居照明行为的一种方法是使用机器学习。目前有很多监督学习的方法用于解决这个问题，其中一种是决策树方法。快速决策树(Very Fast Decision Tree, VFDT)作为一种决策树方法，在在线机器学习中具有优势，在智能家居中可能会有所应用，但仍有一些改进的空间，可以提高VFDT的准确性。实验结果表明，VFDT在离线和在线实验中均优于Naïve贝叶斯(NB)和人工神经网络(ANN)。此外，将核密度估计(Kernel Density Estimation, KDE)和改进拉普拉斯校正作为VFDT的即兴改进，可以提高VFDT预测智能家居照明开关使用情况的准确性和马修斯相关系数(Matthews Correlation Coefficient, MCC)。
{"title":"Predicting smart home lighting behavior from sensors and user input using very fast decision tree with Kernel Density Estimation and improved Laplace correction","authors":"Ida Bagus Putu Peradnya Dinata, B. Hardian","doi":"10.1109/ICACSIS.2014.7065885","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065885","url":null,"abstract":"One way to predict the behavior of smart home lighting is by using machine learning. Currently many methods of supervised learning that used for this problem, one of them is decision tree method. Very Fast Decision Tree (VFDT) as one of the decision tree method that has advantages in online machine learning that may useful in smart home, but there are still some room of improvisation that can improve accuracy of VFDT. The experiment result is obtained that VFDT is better than Naïve Bayes (NB) and Artificial Neural Network (ANN) in offline and online experiment. In addition, Kernel Density Estimation (KDE) and improved Laplace correction that is used as improvisation of VFDT is able to increase the accuracy and Matthews Correlation Coefficient (MCC) of VFDT in predicting smart home lighting switch usage.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125784773","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 : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065853
Endang Purnama Giri, A. M. Arymurthy
Until now, designing a reliable image segmentation algorithm is still an open problem. Research related to this matter is still underway, but in one occasion we may be faced with the problem for selection image segmentation algorithms that will we use? To get the solution of this problem we need a good technical evaluation of image segmentation algorithms. With the technique, it is expected we can finally choose and use the right image segmentation algorithm. Pixel matching (Pm) an image segmentation algorithm evaluation techniques are common but considered less complete and does not support the refinement aspects evaluation. In this study we present two techniques for the evaluation of the segmentation algorithm: Local Consistency Error (LCE) and boundary matching. Furthermore both of techniques will use for evaluate segmentation algorithms based on Support Vector Machine (SVM) with a variety of simple features. In addition, as a comparison, k-mean will used as the base segmentation technique. From the experimental result showed that in general segmentation algorithm using SVM produces a better accuracy than k-means. The highest accuracy is obtained when the value is used as the SVM as classifier and Hue Saturate Value (HSV) as a feature. Sequentially evaluation value obtained was 90. 614% (Pm), 0.106 (LCE), and the highest value of precision and recall for matching boundary are 0.419 and 0.721 (when radius = 5 pixels).
{"title":"Quantitative evaluation for simple segmentation SVM in landscape image","authors":"Endang Purnama Giri, A. M. Arymurthy","doi":"10.1109/ICACSIS.2014.7065853","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065853","url":null,"abstract":"Until now, designing a reliable image segmentation algorithm is still an open problem. Research related to this matter is still underway, but in one occasion we may be faced with the problem for selection image segmentation algorithms that will we use? To get the solution of this problem we need a good technical evaluation of image segmentation algorithms. With the technique, it is expected we can finally choose and use the right image segmentation algorithm. Pixel matching (Pm) an image segmentation algorithm evaluation techniques are common but considered less complete and does not support the refinement aspects evaluation. In this study we present two techniques for the evaluation of the segmentation algorithm: Local Consistency Error (LCE) and boundary matching. Furthermore both of techniques will use for evaluate segmentation algorithms based on Support Vector Machine (SVM) with a variety of simple features. In addition, as a comparison, k-mean will used as the base segmentation technique. From the experimental result showed that in general segmentation algorithm using SVM produces a better accuracy than k-means. The highest accuracy is obtained when the value is used as the SVM as classifier and Hue Saturate Value (HSV) as a feature. Sequentially evaluation value obtained was 90. 614% (Pm), 0.106 (LCE), and the highest value of precision and recall for matching boundary are 0.419 and 0.721 (when radius = 5 pixels).","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130497020","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 : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065839
Ravika Hafizi, S. Miskon, Azizah Abdul Rahman
E-government is one of sectors that currently implementing shared service into its services in order to improve the quality of services and minimize the cost and the risk in delivering the services for its users. There are a growing desire and willingness to implement shared services in e-government from many countries. Unfortunately, there is a lack of scientific interest in order to understand the implementation of shared service for public sector, more specifically within e-government in developing countries; even though the demand of shared service in public sector especially e-government indicate that majority of government's respondents believe shared service may able to support the organization's strategy to achieve goals. By using qualitative study method, this paper reports a content analysis of shared service of e-government in developed country. This study's aim is to derive a list of shared service typology and the appropriate services of e-government. Based on content analysis toward shared services in e-government, the result showed that many developed countries have been using shared service for their system, the researchers also found that the most used of shared service typology are Shared Service Centre Alliances/Consortium and Inter-Organizational Shared Service, while some of them also implement Internal Shared Service Center and Intra-Organizational Shared Service. The researchers also found Human Resource, Finance, and ICT as three business functions that most countries implement shared service into it.
{"title":"Shared service in E-government sector: Case study of implementation in developed countries","authors":"Ravika Hafizi, S. Miskon, Azizah Abdul Rahman","doi":"10.1109/ICACSIS.2014.7065839","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065839","url":null,"abstract":"E-government is one of sectors that currently implementing shared service into its services in order to improve the quality of services and minimize the cost and the risk in delivering the services for its users. There are a growing desire and willingness to implement shared services in e-government from many countries. Unfortunately, there is a lack of scientific interest in order to understand the implementation of shared service for public sector, more specifically within e-government in developing countries; even though the demand of shared service in public sector especially e-government indicate that majority of government's respondents believe shared service may able to support the organization's strategy to achieve goals. By using qualitative study method, this paper reports a content analysis of shared service of e-government in developed country. This study's aim is to derive a list of shared service typology and the appropriate services of e-government. Based on content analysis toward shared services in e-government, the result showed that many developed countries have been using shared service for their system, the researchers also found that the most used of shared service typology are Shared Service Centre Alliances/Consortium and Inter-Organizational Shared Service, while some of them also implement Internal Shared Service Center and Intra-Organizational Shared Service. The researchers also found Human Resource, Finance, and ICT as three business functions that most countries implement shared service into it.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124598587","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 : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065855
A. Baskoro, M. A. Amat, Randy Pangestu Kuswana
This paper presents a method of interaction and orientation that can be implemented in welding simulator and will be used for basic welding training. In welding process there are many factors that can affect the welding results. One of them is the orientation angle and interaction distance between plate and torch. Therefore, a method to find an angle and a distance between plate and welding torch so then it can be used as a part of the welding simulator was developed. The required components are webcam in laptop used as a video tracking device, two sets of marker, and ARToolKit as software library. After the interaction and orientation method was successfully built, a measurement for the interaction method to get a relation between actual distance and virtual distance was performed. The result will receive a comparison value from 27 to 28 pixels per centimeter with specified limitation. Then for orientation method, standard deviation and root mean square error (RMSE) of an angle was measured. This is the first stage of development in welding simulator. Further development is required to get a more advanced welding simulator.
{"title":"Development of interaction and orientation method in welding simulator for welding training using augmented reality","authors":"A. Baskoro, M. A. Amat, Randy Pangestu Kuswana","doi":"10.1109/ICACSIS.2014.7065855","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065855","url":null,"abstract":"This paper presents a method of interaction and orientation that can be implemented in welding simulator and will be used for basic welding training. In welding process there are many factors that can affect the welding results. One of them is the orientation angle and interaction distance between plate and torch. Therefore, a method to find an angle and a distance between plate and welding torch so then it can be used as a part of the welding simulator was developed. The required components are webcam in laptop used as a video tracking device, two sets of marker, and ARToolKit as software library. After the interaction and orientation method was successfully built, a measurement for the interaction method to get a relation between actual distance and virtual distance was performed. The result will receive a comparison value from 27 to 28 pixels per centimeter with specified limitation. Then for orientation method, standard deviation and root mean square error (RMSE) of an angle was measured. This is the first stage of development in welding simulator. Further development is required to get a more advanced welding simulator.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121410146","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 : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065857
A. A. Gunawan, W. Jatmiko, Vektor Dewanto, F. Rachmadi, F. Jovan
Particle filter has appeared as a useful tool for visual object tracking. The efficiency of the particle filter depends mostly on the number of particles used in the estimation. This paper would like to measure the efficiency of particle filter via the Kullback-Leibler distance (KLD). The basis of the method is similar to Fox's KLD-sampling but implemented differently using resampling. The benefit of this approach is that the underlying distribution is exactly the posterior distribution. By means of batch KLD-resampling, we measure the efficiency of several dynamic models by calculating the average number of needed samples. Using experiments, we found (i) the efficiency of particle filter can be measure reliably enough using batch KLD-resampling, (ii) dynamics models affect the efficiency of particle filter, but their performance depends mostly on the case by case situationally.
{"title":"Tracking efficiency measurement of dynamic models on geometric particle filter using KLD-resampling","authors":"A. A. Gunawan, W. Jatmiko, Vektor Dewanto, F. Rachmadi, F. Jovan","doi":"10.1109/ICACSIS.2014.7065857","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065857","url":null,"abstract":"Particle filter has appeared as a useful tool for visual object tracking. The efficiency of the particle filter depends mostly on the number of particles used in the estimation. This paper would like to measure the efficiency of particle filter via the Kullback-Leibler distance (KLD). The basis of the method is similar to Fox's KLD-sampling but implemented differently using resampling. The benefit of this approach is that the underlying distribution is exactly the posterior distribution. By means of batch KLD-resampling, we measure the efficiency of several dynamic models by calculating the average number of needed samples. Using experiments, we found (i) the efficiency of particle filter can be measure reliably enough using batch KLD-resampling, (ii) dynamics models affect the efficiency of particle filter, but their performance depends mostly on the case by case situationally.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129917962","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 : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065897
M. A. Ma'sum, W. Jatmiko, M. I. Tawakal, F. A. Afif
In this paper we proposed a system for automatic fetal detection and approximation in ultrasound image. We used Adaboost. MH based on Multi Stump Classifier to detect fetal organs in ultrasound. After fetal organ detected, it is approximated using Randomized Hough Transform. Experiments result show that mean accuracy of the fetal organs detection reaches 93.92% with mean kappa coefficient value reaches 0.854 and mean hamming error reaches 0.032. Proposed method has better performance compared to other five methods proposed in previous researches. Fetal Organ shape approximation performance reaches 81% for fetal head, 57% for fetal abdomen, 72% of fetal femur, and 66% of fetal humérus.
{"title":"Automatic fetal organs detection and approximation in ultrasound image using boosting classifier and hough transform","authors":"M. A. Ma'sum, W. Jatmiko, M. I. Tawakal, F. A. Afif","doi":"10.1109/ICACSIS.2014.7065897","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065897","url":null,"abstract":"In this paper we proposed a system for automatic fetal detection and approximation in ultrasound image. We used Adaboost. MH based on Multi Stump Classifier to detect fetal organs in ultrasound. After fetal organ detected, it is approximated using Randomized Hough Transform. Experiments result show that mean accuracy of the fetal organs detection reaches 93.92% with mean kappa coefficient value reaches 0.854 and mean hamming error reaches 0.032. Proposed method has better performance compared to other five methods proposed in previous researches. Fetal Organ shape approximation performance reaches 81% for fetal head, 57% for fetal abdomen, 72% of fetal femur, and 66% of fetal humérus.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133034757","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 : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065888
D. Fitrianah, N. H. Praptono, A. Hidayanto, A. M. Arymurthy
This paper introduces the critical success factors framework to develop the application for tuna fishery management. On the previous study, a mentioned framework, consists of four layers: business process layer, information layer, solution layer, and technology layer. Since the framework follows an integrated design, it is important to know the detailed factors influencing the development of fishery management, layer by layer. Some aspects are also then counted in order to see the supporting issue of the development. From the given studies, we propose a conceptual framework of CSFs that consists of 12 critical factors which are considered to be potentially influencing the systems, during the development, and/or usage, and/or maintenance.
{"title":"A conceptual framework of critical success factors to develop an integrated application of tuna fishing data management in Indonesia","authors":"D. Fitrianah, N. H. Praptono, A. Hidayanto, A. M. Arymurthy","doi":"10.1109/ICACSIS.2014.7065888","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065888","url":null,"abstract":"This paper introduces the critical success factors framework to develop the application for tuna fishery management. On the previous study, a mentioned framework, consists of four layers: business process layer, information layer, solution layer, and technology layer. Since the framework follows an integrated design, it is important to know the detailed factors influencing the development of fishery management, layer by layer. Some aspects are also then counted in order to see the supporting issue of the development. From the given studies, we propose a conceptual framework of CSFs that consists of 12 critical factors which are considered to be potentially influencing the systems, during the development, and/or usage, and/or maintenance.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129271337","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 : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065865
A. Ramadhan, D. I. Sensuse, M. Pratama, Vina Ayumi, A. M. Arymurthy
e-Livestock has become a new paradigm in e-Government, especially in Indonesia. Research on e-Livestock was started since 2010 and continues until today. In 2013, a web-based system has been successfully made to implement e-Livestock in Indonesia. The system was named "Sistem e-Livestock Indonesia". The system can be used to collect important data about the condition of cows in Indonesia, so that it can be very useful in decision making. However, that system only has been tested in one province and has not been massively adopted in Indonesia. Thus, to demonstrate the real benefits of the system, the system is equipped with several Decision Support System (DSS) modules. The results of all DSS modules are shown spatially in the Geographical Information System (GIS), so that making it easier for the government officials to make decisions.
{"title":"GIS-based DSS in e-Livestock Indonesia","authors":"A. Ramadhan, D. I. Sensuse, M. Pratama, Vina Ayumi, A. M. Arymurthy","doi":"10.1109/ICACSIS.2014.7065865","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065865","url":null,"abstract":"e-Livestock has become a new paradigm in e-Government, especially in Indonesia. Research on e-Livestock was started since 2010 and continues until today. In 2013, a web-based system has been successfully made to implement e-Livestock in Indonesia. The system was named \"Sistem e-Livestock Indonesia\". The system can be used to collect important data about the condition of cows in Indonesia, so that it can be very useful in decision making. However, that system only has been tested in one province and has not been massively adopted in Indonesia. Thus, to demonstrate the real benefits of the system, the system is equipped with several Decision Support System (DSS) modules. The results of all DSS modules are shown spatially in the Geographical Information System (GIS), so that making it easier for the government officials to make decisions.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132147958","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 : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065822
Elin Cahyaningsih, Sofiyanti Indriasari, P. Anggia, D. I. Sensuse, W. Wibowo
Knowledge management as people approach in information system is used to develop Knowledge Management System (KMS). KMS can be defined by aligning knowledge management process in organization. Analytical approaches to determine KMS are identifying knowledge management process, transferring knowledge management mechanism and applying knowledge management technologies for each finding indicator in governmental environment. This research is conducted using literature study and survey at Badan Kepegawaian Negara's head office and branches. Literature study determines analysis method for KMS. Survey is conducted by distributing questionnaire to civil servant at Badan Kepegawaian Negara. Quantitative method is used for analyzing survey result using SPSS 21. Research shows the list of KMS priorities that are required for government; such as chat group, tutorial of best practice model, expert locater system, knowledge database and help desk to support organizational activities and service.
{"title":"Government knowledge management system analysis: A case study at Badan Kepegawaian Negara","authors":"Elin Cahyaningsih, Sofiyanti Indriasari, P. Anggia, D. I. Sensuse, W. Wibowo","doi":"10.1109/ICACSIS.2014.7065822","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065822","url":null,"abstract":"Knowledge management as people approach in information system is used to develop Knowledge Management System (KMS). KMS can be defined by aligning knowledge management process in organization. Analytical approaches to determine KMS are identifying knowledge management process, transferring knowledge management mechanism and applying knowledge management technologies for each finding indicator in governmental environment. This research is conducted using literature study and survey at Badan Kepegawaian Negara's head office and branches. Literature study determines analysis method for KMS. Survey is conducted by distributing questionnaire to civil servant at Badan Kepegawaian Negara. Quantitative method is used for analyzing survey result using SPSS 21. Research shows the list of KMS priorities that are required for government; such as chat group, tutorial of best practice model, expert locater system, knowledge database and help desk to support organizational activities and service.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133981503","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 : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065819
Handre Duriana, Ida Ayu Kadek Trisnanty, P. W. Handayani
Knowledge Management (KM) becomes the tools for gaining the competitive advantages. But, its implementation cannot be confirmed giving any significant impact to the organization. This research is aimed to evaluate the impact of Knowledge Management System (KMS) implementation toward system administrator, the active user of the KMS in Bank Indonesia. This research is also aimed to determine the capability maturity level of the KM. This research is measured based on employee's responses to a questionnaires based on KM capability maturity indicators designed by Elmi Achelia. Then the question is categorized in three-dimensional effects, namely employee learning, employee adaptability, and employee job satisfaction. Recapitulation data is processed using partial least square approach using SmartPLS tools. Later, the data is used to calculate weights to determine the maturity level of the organization. As a result, the implementation is proven to give significant impact on the tree dimensions. In addition, based on the research results, Bank Indonesia has evaluated its capability maturity of KM and it stands on level 1.
{"title":"Evaluation on people aspect in knowledge management system implementation: A case study of Bank Indonesia","authors":"Handre Duriana, Ida Ayu Kadek Trisnanty, P. W. Handayani","doi":"10.1109/ICACSIS.2014.7065819","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065819","url":null,"abstract":"Knowledge Management (KM) becomes the tools for gaining the competitive advantages. But, its implementation cannot be confirmed giving any significant impact to the organization. This research is aimed to evaluate the impact of Knowledge Management System (KMS) implementation toward system administrator, the active user of the KMS in Bank Indonesia. This research is also aimed to determine the capability maturity level of the KM. This research is measured based on employee's responses to a questionnaires based on KM capability maturity indicators designed by Elmi Achelia. Then the question is categorized in three-dimensional effects, namely employee learning, employee adaptability, and employee job satisfaction. Recapitulation data is processed using partial least square approach using SmartPLS tools. Later, the data is used to calculate weights to determine the maturity level of the organization. As a result, the implementation is proven to give significant impact on the tree dimensions. In addition, based on the research results, Bank Indonesia has evaluated its capability maturity of KM and it stands on level 1.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115842763","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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