PERBANDINGAN ALGORITMA K NEAREST NEIGHBOR DAN DECISION TREE UNTUK KATEGORI HARGA PAGAR

NOVANTO, MIRAJ DWI (2022) PERBANDINGAN ALGORITMA K NEAREST NEIGHBOR DAN DECISION TREE UNTUK KATEGORI HARGA PAGAR. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

In Indonesia now having a house is one of the needs and obligations that must be fulfilled by humans, especially for those who are already married. The houses that are already inhabited usually they add a fence as security, comfort, aesthetics and social image in society. Welding Workshop is a place for making fences that are expensive yes, it is quite affordable and the results of the fence made are good. Therefore, the purpose of this study is to clarify the price of the Semanan Iron Workshop fence with three categories, namely Expensive, Medium and Cheap. The algorithm used to clarify the price category of the fence is K Nearest Neighbor and Decision Tree. The result of accuracy for K Nearest Neighbor is 78% and accuracy for Decision Tree is 87%. Key words: research, guidance, computer science, universitas mercu buana Di indonesia sekarang ini memiliki rumah merupakan salah satu kebutuhan dan kewajiban yang harus dipenuhi oleh manusia terutama untuk yang sudah berkeluarga.Rumah yang sudah huni biasa mereka menambahkan pagar sabagai pengamanan,kenyamanan,estetika dan citra sosial dimasyarakat.Bengkelas Las adalah tempat untuk pembuatan pagar yang harga ya terbilang terjangkau dan hasil pagar yang dibuat bagus.Karena itu tujuan penelitian ini adalah untuk mengklarifikasi harga pada pagar Bengkel Besi Semanan dengan tiga kategari yaitu Mahal,Menengah dan Murah.Algoritma yang digunakan untuk klarifikasi kategori harga pagar adalah K Nearest Neighbor dan Decision Tree.Hasil dari akurasi untuk K Nearest Neighbor adalah 78% dan akurasi untuk Decision Tree adalah 87%. . Kata kunci: penelitian, panduan, ilmu komputer, universitas mercu buana

Item Type: Thesis (S1)
Call Number CD: FIK/INFO. 22 131
NIM/NIDN Creators: 41518010001
Uncontrolled Keywords: penelitian, panduan, ilmu komputer, universitas mercu buana
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika
100 Philosophy and Psychology/Filsafat dan Psikologi > 150 Psychology/Psikologi > 153 Conscious Mental Process and Intelligence/Intelegensia, Kecerdasan Proses Intelektual dan Mental > 153.8 Will, Volition/Kemauan > 153.83 Choice and Decision/Pilihan dan Keputusan
500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik > 518.1 Algorithms/Algoritma
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: ADELINA HASNA SETIAWATI
Date Deposited: 19 Oct 2022 09:02
Last Modified: 19 Oct 2022 09:02
URI: http://repository.mercubuana.ac.id/id/eprint/70623

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