HAMBALI, M. MARCELINO (2022) RANCANG BANGUN APLIKASI PERSENTASE PEMBELIAN PRODUK PT. INSURTECH TECHNOLOGIES INDONESIA MENGGUNAKAN METODE WEB SCRAPING DAN ALGORITMA CART. S1 thesis, Universitas Mercu Buana Bekasi.
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Abstract
ABSTRAK Nama : M. Marcelino Hambali NIM : 41518210010 Pembimbing TA : Nenden Siti Fatonah, Dr, M.Kom Judul : Rancang Bangun Aplikasi Persentase Pembelian Produk PT. Insurtech Technologies Indonesia Menggunakan Metode Web Scraping Dan Algoritma CART Sebagai upaya menjaring pangsa pasar tentunya diperlukan data yang tepat dan cocok digunakan sebagai target penjualan. Data tersebut dapat diperoleh dari berbagai sumber dengan menggunakan berbagai metode. Di era internet ini, semua data telah tersebar luas dan dipublikasikan di jaringan internet yang tentunya dapat dimanfaatkan oleh PT. Insurtech Technologies Indonesia sebagai data acuan penentu pangsa pasar. Oleh karena itu, pembuatan sistem informasi mengenai persentase pembelian suatu produk berbasis Webite sangat diperlukan sebagai sarana untuk memperluas informasi pangsa pasar PT. Insurtech Technologies Indonesia. Dalam rangka memenuhi kebutuhan tersebut, maka diperlukan aplikasi berbasis Web yang dapat menentukan persentase pembelian produk. Aplikasi Web akan dibuat menggunakan framework Django dan dikombinasikan dengan menggunakan library Selenium serta BeautifulSoup. Hasil dari penelitian ini adalah berupa tabel yang berisi informasi mengenai persentase pembelian produk yang dapat ditraining menggunakan algoritma lain. Kata kunci: Web Scraping, Selenium, Algoritma CART, Beautiful Soup ABSTRACT Name : M. Marcelino Hambali Student Number : 41518210010 Counsellor : Nenden Siti Fatonah, Dr, M.Kom Title : Development Application of Product Purchase PercenTage of PT. Insurtech Technologies Indonesia Using the Web Scraping Method and the CART Algorithm To capture market share, it’s required appropriate data and suitable for use as sales targets. The data can be obtained from various sources using various methods. In this internet era, all data has been widely distributed and published on the internet network which of course can be utilized by PT. Insurtech Technologies Indonesia as reference data for determining market share. Therefore, the creation of an information system regarding the percenTage of purchases of a Website-based product is needed as a means to expand the market share information of PT. Insurtech Technologies Indonesia. In order to meet these needs, a Web-based application is needed that can determine the percenTage of product purchases. The Web application will be built using the Django framework and combined with the Selenium and BeautifulSoup libraries. The results of this study are in the form of a table containing information about the percenTage of product purchases that can be trained using other algorithms. Key words: Web Scraping, Selenium, CART Algorithm, Beautiful Soup
| Item Type: | Thesis (S1) |
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| Call Number CD: | FIK/INFO 22 054 |
| NIM/NIDN Creators: | 41518210010 |
| Uncontrolled Keywords: | Web Scraping, Selenium, Algoritma CART, Beautiful Soup |
| 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: | siti maisyaroh |
| Date Deposited: | 03 Jan 2023 08:18 |
| Last Modified: | 03 Jan 2023 08:18 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/73026 |
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