• Login
    View Item 
    •   SU+ Home
    • Research and Publications
    • Faculty of Information Technology (FIT)
    • FIT Projects, Theses and Dissertations
    • MSIT Theses and Dissertations
    • MSIT Theses and Dissertations (2021)
    • View Item
    •   SU+ Home
    • Research and Publications
    • Faculty of Information Technology (FIT)
    • FIT Projects, Theses and Dissertations
    • MSIT Theses and Dissertations
    • MSIT Theses and Dissertations (2021)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A Prototype for profit maximization using Apriori data mining algorithm: case of Kula Kona restaurant

    Thumbnail
    View/Open
    Full - text thesis (2.628Mb)
    Date
    2021
    Author
    Okeyo, Seth Ouma
    Metadata
    Show full item record
    Abstract
    Most businesses use different promotional and pricing methods to improve profits, revenues, and sales volumes. For example, a restaurant manager may change prices to encourage sales of food items. Also, he or she may in a special way advertise or present advertise the items to increase customers’ awareness and demand. This has become cumbersome and has made the management of such businesses difficult and has informed the decisions to develop systems with aims of coming up with a solution to this, most of the systems are complicated in nature and difficult for the users to apply, most of them are also rigid to platforms/system requirements since they were developed in old and probably un-scalable platforms. The aim of this research is to formulate a prototype for profit maximization using Apriori data mining algorithm. This is achieved by applying the algorithm on existing sales knowledge bases with other given parameters, some kept constant and others varying, and the algorithm is able to determine the sales patterns using different internal and external parameters. The prototype then automatically analyzes the patterns and come up with reports and summaries which can aid in decision making and consequently profit maximization with the optimal prices of the goods, which is advantageous to both the restaurant owners and clients. The research site is Kula Kona restaurant located in the Hurlingham area within Nairobi. The research design is used to conduct the scientific study and descriptive approach to demonstrate the effects of adjustments of different variables which help understand the behavior and effects on other variables in relation to sales at a given time. The Data-driven modelling methodology was used in this model development. The methodology was ideal since it relied on retrospective data and it performed at the accuracy level of 93.71% and a mean square error of 0.039. The results were great and showed that Apriori algorithm is the best fit for this type of machine learning prototype.
    URI
    http://hdl.handle.net/11071/12936
    Collections
    • MSIT Theses and Dissertations (2021) [18]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of SU+Communities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV