PENERAPAN METODE KNN (K-NEAREST NEIGHBOR) PADA SISTEM PENDUKUNG KEPUTUSAN PEMBELIAN RUMAH

Widiastuti, Yoga (2016) PENERAPAN METODE KNN (K-NEAREST NEIGHBOR) PADA SISTEM PENDUKUNG KEPUTUSAN PEMBELIAN RUMAH. Other thesis, Universitas Sebelas Maret.

[img] PDF - Published Version
Download (170Kb)

    Abstract

    Every prospective home buyers has their own criteria in selecting home that suit their needs. But many of these criteria are followed by the availability of more than one choice of homes that meet those criteria. Therefore, we need a computerized system that can help them to obtain a good home selection decisions based on their needs. Method used in this research is K-nearest Neighbor (KNN). KNN is a method to classify the new objects based on the training data that were located closest to the object. This paper discusses about recommendation system to select house using 11 kinds of criteria, such as price, location, land area, building area, floor, bedroom, bathroom, maid’s room, garage/carport, electric power and water resources. This system also used a geographical information system to display the results in the form of a map. The testing was conducted by 25 users, they tried out the system and filled the satisfaction questionnaire system. The level of satisfaction obtained from two main aspects : result satisfaction and user interface design satisfaction, which is including the usability and the attractivess system. The results of this tests indicate the level of user satisfaction by 38% very satisfied, 58% satisfied and 4% not satisfied. Keywords : Decision Support System, Geographic Information System, House Purchasing, K-Nearest Neighbor,

    Item Type: Thesis (Other)
    Subjects: T Technology > T Technology (General)
    Z Bibliography. Library Science. Information Resources > ZA Information resources
    Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam
    Fakultas Matematika dan Ilmu Pengetahuan Alam > Informatika
    Depositing User: Pratama Wisnu
    Date Deposited: 22 Nov 2016 13:33
    Last Modified: 22 Nov 2016 13:33
    URI: https://eprints.uns.ac.id/id/eprint/29500

    Actions (login required)

    View Item