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belajar database dengan excel

Information content associated with consumer use of the web site online payment for school in Noida

The data entered may be a numeric value, Likert scale value, or yes/no response. Perform data analysis–The score sheets are stored in an online database in order to provide the flexibility needed to calculate the usability weights and comparative indexes.

  Web Hosting Result For Small Static Websites To Big Dynamic Websites And Portals Also.

Popular web hosting companies which provides better hosting solutions have now started offering their hosting plans on a monthly basis and the server space can always renewed and extended as per requirements, Microsoft’s IIS7 is the kind of web hosting in which you have a remote access to the server via normal windows Operating system which can be exercised from a remote location, it basically is a fully fledged Personal Computer hosting your website as well as allows to manipulate the databases by providing preinstalled SQL on the remote machine, this service comes handy when an individual have to edit/alter database.

The Impact of Competition on Performance of Firms in  the Mobile Telecommunication Sector in Kenya

Competition is a factor that affects the business environment in any industry. This study sought to investigate the impact of competition on the performance of the mobile telecommunication industry in Kenya. This research aimed at looking at how competition has impacted on performance of the four firms in the sector i.e. Orange Kenya, Airtel, Yu and Safaricom (K) ltd. The study used a descriptive research design that answered questions how competition affects the independent variables of the study i.e. new market entrants, competitive rivalry and buyer power. Simple stratified sampling was used to select the sample of the respondents to avoid bias and ensure that samples drawn were representative of the population of mobile service subscribers of the four firms. Data collection was done using questionnaires and analyzed using Ms Excel. The results were presented using bar graphs and pie charts

Survey of Various Approaches on Video Recognition  Systems

Video-based object or face recognition services on mobile devices have recently gained significant attention.Cloud systems start to be utilized for services to analyze user data in the region of computer vision. In these services, key points are extracted from images or videos and the data is identified by machine learning with large database of cloud.Detecting Person-OfInterest (POI), e.g., fugitives, criminals and terrorists in public spaces is a critical requirement of many law enforcers and police officers. Face recognition applications for airport security and surveillance can benefit from the collaborative coupling of mobile and cloud computing as they become widely available today

Determinants of Consumers` Attitudes on Imported  Products in Tanzania: The Case Study of Dodoma  Mu

Consumers‟ attitudes towards purchasing either foreign or local products have been a matter of debate. Therefore the objective of this study was to investigate the determinants of consumers‟ attitudes on imported products in Tanzania by exploring factors which attract Tanzanian consumers to purchase imported products. This study employed cross sectional design. Data were collected in Dodoma Municipal in which selfadministered questionnaires were used to collect the required information. The study randomly sampled 200 respondents who included 92 business men/women, 60 students and 48 servants. The data obtained were analyzed using MS – Excel computer software.

The Impact of HIV/AIDs on Household Income: The  Case of Dodoma Municipal

The study assessed implication of HIV/AIDs on household income in Dodoma Municipal. A sample of 150 respondents was purposively and randomly selected and a case study design was adopted. Primary and secondary data were collected. The qualitative and Quantitative data were analysed by using the MS-Excel. The results showed that majority of the respondents (60%) engaged themselves in farming and gardening. Also, findings revealed that the respondents whose monthly income was below Tshs.100, 000/= or the equivalent of $ 60 spent a great portion of their income on transport and medication, while those who earn income above Tshs. 100,000/= spent a great portion of their income on special food and transport.

Windows Mobile Software Profitably Affordable.Pdf

Full range of custom web development services that includes E-Business & database-driven corporate web solutions, application service provider.

IAssociation Rule Mining: A Technique for Revolution in  Requirement Analysis

Data mining is the process of extracting interesting, useful and previously unknown information or patterns from large information repositories such as: relational database, data warehouses, XML repository, etc. There are various types of data mining techniques such as association rules, classifications and clustering. Association rule mining is one of the most important and well researched techniques of data mining. Among sets of items in the transaction databases or other data repositories, it seeks interesting correlations, frequent patterns, associations or casual structures. Association Rule Mining is a very potential technique which has the aim to find interesting and useful patterns from the transactional database. It is mainly used in market basket analysis that help to identify patterns of all those items that are purchased together. To denote association with itemsets and their quantities, the Quantitative association mining is used.

Optimizing the relevancy of Predictions using Machine  Learning and NLP of Search Query

- One of the most important and promising branches of Artificial Intelligence (AI) is Machine Learning (ML),which strive to make a machine intelligent by “learning” from the data. Information Retrieval is also a popular and predominant technique having as one of its application, the ubiquitous Search Engine. Search Engine optimization (SEO) has seen remarkable advancements during the recent years. The objective of this paper is to optimize the existing predictive search mechanism by incorporating pattern based Machine Learning techniques, the association with a Semantic Database, Natural Language Processing of search query to produce more relevant predictions to the user. The main intention is to provide diversified but apt, intelligent predictions for both the diversified set of users whose domain of search queries is not constrained, as well as for the dedicated researchers whose domain will be confined, coupled with an optimal balance between the Response times, Relev

Proximate and Mineral composition of Some Traditional  Vegetables in Akwa Ibom State, Nigeria.

This research work was carried out to investigate the proximate and mineral composition of some traditional vegetables in Akwa Ibom State, Nigeria. These vegetables include: Talinum triangulare, Hensia crinita, Cucurbita maxima and Lasianthera africana. The vegetables were washed in potable water to remove unwanted matters and were analyzed for proximate and mineral content. All analyses were carried out in three replicates and the mean data were presented on tables using the spread sheet Microsoft Excel. Talinum triangulare had the highest protein content (56.72%) and moisture content (80.11%) but had the lowest content of ash (6.31%), crude fibre (2.96%) and carbohydrate (6.91%). Ash and crude fibre were present in low quantities in Talinum triangulare, Hensia crinita, and Lasianthera africana, except Cucurbita maxima which had the highest composition of ash (14.06%) and crude fibre (9.37%). Mineral composition (Potassium (K), Calcium (Ca), Magnesium (Mg) and

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