PENERAPAN ALGORITMA DECISION TREE UNTUK KLASIFIKASI CALON PELANGGAN (STUDI KASUS : PT.TEKNIK KREASI SOLUSINDO)

REINALDO, RYO NICHOLAS (2023) PENERAPAN ALGORITMA DECISION TREE UNTUK KLASIFIKASI CALON PELANGGAN (STUDI KASUS : PT.TEKNIK KREASI SOLUSINDO). S1 thesis, Universitas Mercu Buana - Menteng.

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Abstract

Penerapan algoritma decision tree untuk kalsifikasi calon pelanggan(Studi Kasus : PT Teknik Kreasi Solusindo) merupakan permasalahan yang ada di perusahaan tersebut. Dimana klasifikasi pengelompokkan data pelanggan di perusahaan PT Teknik Kreasi Solusindo sebelumnya tidak memiliki dasar yang mengakitbakan hasil klasifikasi belum sepenuhnya baik. Untuk mengatasi masalah tersebut maka penelitian ini menggunakan metode klasifikasi yang ada pada proses data mining yaitu decision tree. Pada penelitian ini menggunakan Decision Tree karena data yang digunakan kebanyakan memiliki variable dengan tipe diskrit serta proses klasifikasi sederhana dan cepat. Data pada penelitian yang digunakan adalah atribut penawaran produk PT Teknik Kreasi Solusindo dari tahun 2018-2023. Sumber data yang diperoleh adalah dari hasil wawancara dengan perwakilan dari PT Teknik Kreasi Solusindo dan juga beberapa file penawaran di perusahaan tersebut. Berdasarkan data ini akan dilakukan klasifikasi dengan layanan Google Colabolatory. Dan dengan metode ini maka akan dilihat hasil akurasi metode decision tree sebagai acuan klasifikasi yang di-inginkan. Kata Kunci: klasifikasi, Data Mining, Decision Tree Application of the decision tree algorithm for classifying prospective customers case study of PT Teknik Kreasi Solusindo) is a problem that exists in the company. Where the classification of customer data grouping in the company PT Teknik Kreasi Solusindo previously had no basis which resulted in the classification results not being entirely good. To overcome this problem, this study uses a classification method that exists in the data mining process, namely the decision tree. In this study using a Decision Tree because the data used mostly has variables with discrete types and the classification process is simple and fast. The data in the research used are product offering attributes of PT Teknik Kreasi Solusindo from 2018-2023. The source of the data obtained is from the results of interviews with representatives from PT Teknik Kreasi Solusindo and also several bidding files in the company. Based on this data, a classification will be carried out with the Google Colabolatory service. And with this method, the accuracy of the decision tree method will be seen as a reference for the desired classification. Keywords: Classification, Data Mining, Decision Tree

Item Type: Thesis (S1)
NIM/NIDN Creators: 41519110159
Uncontrolled Keywords: klasifikasi, Data Mining, Decision Tree Classification, Data Mining, Decision Tree
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
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: ALFINA DHEA NOVA
Date Deposited: 12 Sep 2023 03:06
Last Modified: 12 Sep 2023 03:06
URI: http://repository.mercubuana.ac.id/id/eprint/80700

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