SMEs readiness in using ICT will determine the adoption of ICT in the future. This study aims to evaluate the model of technology readiness in order to apply the technology on SMEs. The model is tested to find if TRI ...
SMEs readiness in using ICT will determine the adoption of ICT in the future. This study aims to evaluate the model of technology readiness in order to apply the technology on SMEs. The model is tested to find if TRI model is relevant to measure ICT adoption, especially for SMEs in Indonesia. The research method used in this paper is survey to a group of SMEs in South Tangerang. The survey measures the readiness to adopt ICT based on four variables which is Optimism, Innovativeness, Discomfort, and Insecurity. Each variable contains several indicators to make sure the variable is measured thoroughly. The data collected through survey is analysed using factor analysis methodwith the help of SPSS software. The result of this study shows that TRI model gives more descendants on some indicators and variables. This result can be caused by SMEs owners' knowledge is not homogeneous about either the technology that they are used, knowledge or the type of their business.
Utilization of Information and Communication technology (ICT) is still relatively low in the level of SMEs due to various limitations ranging from access to capital, till the marketing network. ICT is present to provi...
Utilization of Information and Communication technology (ICT) is still relatively low in the level of SMEs due to various limitations ranging from access to capital, till the marketing network. ICT is present to provide the ability for SMEs in improving the benefits and competitive advantage of the organization. This study aims to determine the level of readiness of SMEs in utilizing technology, especially ICT. The methodology used is a survey to see the technology readiness of 107 SMEs in South Tangerang selected by purposive sampling. The approach used is TRI (technology Readiness Index) which is the individual perception of technology based on four criteria that is optimism, innovativeness, discomfort and insecurity. The results showed that the optimism and innovativeness variables significantly positively influence the technology readiness while the variables of discomfort and insecurity also significantly positively influence the readiness of ICT.
Karbala is distinguished by its rich architectural heritage. Deterioration of historic buildings can affect the city itself as well as the country as general. This research highlights the issue that Al-Ukhaidhir palac...
Karbala is distinguished by its rich architectural heritage. Deterioration of historic buildings can affect the city itself as well as the country as general. This research highlights the issue that Al-Ukhaidhir palace, located in Karbala city, is facing. There is no attention from local population, neither experts to protect the architectural heritage values of Al-Ukhaidhir palace. Therefore, there is a dire need for an action to protect the historical palace, aiming to save it for next generations and to increase tourism not just in the city, but for the country in general. After the introduction of the background problem, this study presents a literature review on Al-Ukhaidhir Palace, highlighting their significant heritage values and then summarizing the issues that are presently putting Al-Ukhaidhir Palace into danger. The methodology of this research is based in a case study, which follows a Qualitative method. This study contributes in identification of the significant values of the palace, proposing a theory on the protection of Islamic Architecture Heritage, from the issues that Al-Ukhaidhir Palace in Karbala City is facing and highlights the important role of experts and local population in the preservation process of heritage sites with its recommendations. It helps on the protection and documentation of heritage values in Al-Ukhaidhir Palace, having a global impact towards humanity issues.
This paper discusses the use of evolution and maintenance techniques in scientific workflows context. Using version control and data provenance techniques, strategical information can be collected and analyzed using o...
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This paper discusses the use of evolution and maintenance techniques in scientific workflows context. Using version control and data provenance techniques, strategical information can be collected and analyzed using ontological rules. We present the E-SECO ProVersion approach, specified in the context of a Scientific Software Ecosystem, named E-SECO. E-SECO ProVersion is aimed of acting as a mediator to extract maintenance and evolution information from different workflows repositories. Therefore, it address the maintenance and evolution of scientific workflows, adapting concepts of software evolution and maintenance for the scientific experimentation context, through versioning and similarity degree obtained from data provenance support.
This paper presents the application program of fingerprint detection using wavelet transform for authentication. Fingerprints are obtained from the site of crime, old documents and excavated things. This paper propose...
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GIS embedded cloud storage of spatial data plays a significant role in current agricultural field. An alternative approach to our traditional method of soil fertility management in decision making processes using GIS ...
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ISBN:
(纸本)9781509020300
GIS embedded cloud storage of spatial data plays a significant role in current agricultural field. An alternative approach to our traditional method of soil fertility management in decision making processes using GIS Cloud (Geographic Information System) is a novel idea for e-governance and m-governance. In recent years, many researchers have studied the importance of cloud-computing in various sectors for storing large amount of data and GIS as a separate concept in viewing the spatial maps. The main objective of this study is to suggest a complete Decision Support System (DSS) using GIS enabled cloud technologies to administer agricultural related data required for soil fertility management based on different criteria's like crop, season, soil type, seed varieties, etc. The proposed DSS includes development of geo-referenced soil fertility maps showing distributions of soil nutrients and their spatial variability to provide fertilizer recommendations using Soil Test Crop Response (STCR) equations for targeted yield approach for different crops in India.
Grade Point Average (GPA) is commonly used as an indicator of academic performance. Academic performance evaluations is a basic way to evaluate the progression of student performance, when evaluating student's aca...
Grade Point Average (GPA) is commonly used as an indicator of academic performance. Academic performance evaluations is a basic way to evaluate the progression of student performance, when evaluating student's academic performance, there are occasion where the student data is grouped especially when the amounts of data is large. Thus, the pattern of data relationship within and among groups can be revealed. Grouping data can be done by using clustering method, where one of the methods is the Fuzzy C-Means algorithm. Furthermore, this algorithm is then applied to a set of student data form the Faculty of Mathematics and Natural sciences, Padjadjaran University.
DMS is a Document Management System that automates and seamlessly manages the document management process to ensure compliance with all regulatory authorities. DMS manages the entire document lifecycle process and giv...
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We have carried out experimental and numerical analyses for reconstruction of permittivity distribution using a pair of long distance small size electrodes and additional arc electrodes. A reconstruction method for pe...
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Background Recommendation System Predict users' potential interests from their rating/purchasing history Data Sparseness-The Bottleneck The lack of user-item rating/purchasing data
Background Recommendation System Predict users' potential interests from their rating/purchasing history Data Sparseness-The Bottleneck The lack of user-item rating/purchasing data
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