Browsing by Author "M, Karthika"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    AN EMPIRICAL STUDY ON PARENTSAWARENESS AND ATTITUDE TOWARDS CHILD VACCINATION
    (IJRAR- International Journal of Research and Analytical Reviews, 2019-01-10) R S, Kanimozhi; M, Karthika
    Vaccination protects the child health and it prevents them from spreading disease to other people. In India, vaccination is only an money oriented but in the foreign countries vaccination play a crucial role because they have an in depth knowledge on vaccination. The study has enlightened the essential and safety measures to vaccinate their child. The study reveals the parents attitude towards vaccination and the problem faced by them. Under this background, of the study has focused on to analyze the knowledge of the parents towards vaccination. The data has been collected from 220 respondents by applying purposive sampling technique. Statistical tools such as descriptive, ANOVA, chi-square have been used to analysis the data.Findings of the study reveal that there is no significant relationship between demographic factors and the attitude level of parents towards child vaccination.The study suggested that inclusion of vaccination certificate in school enrolment will make the parents to give the vaccination at right time.Hospitals can be provided with vaccination booklets, explaining about the importance of vaccination and how to manage its side effects. So the government has formally launched a special immunization drive in high focus area in the countrywith an aim to reach 90 per cent coverage by 2020.
  • No Thumbnail Available
    Item
    SYSTEM FOR INVENTORY CONTROL AND MANAGEMENT OF BAKERY PRODUCT USING SVM
    (Journal of The Gujarat Research Society, 2019-12) M, Rajeshwari; M, Karthika
    The study entitled on, “To build a classification model for inventory control and management of bakery product”. Business process is dynamic respect to time, place, product & seasons. Understanding the trend and changes of pattern becomes important to consider in making business decisions. Data mining techniques are extensively applied for classification, useful patterns extraction and predications which are very important for business support and decision making. Patterns from inventory data indicate market trends and can be used in prediction that helps in decision making and planning. The objective of this study is to manage inventory of Zplus company, a bakery manufacturer who supplies bakery products fresh on daily basis. The daily production volume depends on various factors including external and internal factors. Considering only the internal factor, prediction of daily production volume helps in inventory control, and avoids stagnation of products. Based on the patterns and trends in the data, each order is predicted to include in the manufacturing based on the priority. A prediction technique is applied using SVM to predict the priority of each order so that the orders can be manufactured in accordance with the sales requirement which eliminate stagnation of products and offer better control over inventories.