Analisa dan Klasifikasi Data Penjualan E-Commerce Pada PT BWI menggunakan Algoritma Naive Baye

DEBATARAJA, JOSBIL ARTHA MIRANDO (2023) Analisa dan Klasifikasi Data Penjualan E-Commerce Pada PT BWI menggunakan Algoritma Naive Baye. S2 thesis, Universitas Mercu Buana Bekasi.

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Abstract

Perkembangan dalam dunia bisnis semakin bertambah besar dan semakin maju teknologi dalam menjalankan bisnis yang dari zaman para pengusaha membuka toko offline untuk melakukan penjualan kepada customer nya, sehingga pada zaman sekarang yang teknologi semakin berkembang dimana hadirnya system penjualan secara online. Dimana para masyarakat tidak perlu lagi mengunjungi toko offline untuk mendapatkan barang yang diinginkan. Bisnis saat ini berkembang secara pesat. Salah satu kegiatan untuk melakukan penjualan dan pemasaran sudah berubah. Maka dari itu PT BWI melakukan system pemasaran dan penjualan produk menggunakan system marketplace di Indonesia yaitu melalui platform marketplace Tokopedia dan Shopee hal ini dilakukan untuk meningkatkan perluasan pasar dimana para customer bisa membeli barang yang dijual oleh perusahaan keseluruh wilayah Indonesia tanpa perlu membuka took offline. Hasil penelitian yang dilakukan oleh penulis yaitu Analisa dan klasifikasi terhadap data penjualan Shopee dan Tokopedia di perusahaan PT BWI Mendapatkan data bahwa penjualan terbanyak terdapat di provinsi DKI Jakarta. Serta data penjualan terbanyak yaitu melalui Tokopedia. Dan hasil penelitian yang dilakukan dengan algoritma Naïve Bayes untuk data Shopee mendapatkan akurasi 97,8% dan Tokopedia mendapatkan akurasi 98,7%. Kata kunci : Klasifikasi, PT BWI, Naïve Bayes,Tokopedia,Shopee Developments in the business world are getting bigger and more advanced in technology in running a business, from the time entrepreneurs opened offline stores to make sales to their customers, so that in this day and age the technology is growing where there is an online sales system. Where people no longer need to visit offline stores to get the desired item. Business is currently growing rapidly. One of the activities to carry out sales and marketing has changed. Therefore PT BWI carries out a marketing and product sales system using the marketplace system in Indonesia, namely through the Tokopedia and Shopee marketplace platforms. This is done to increase market expansion where customers can buy goods sold by companies throughout Indonesia without the need to open an offline store. . The results of the research conducted by the author are the analysis and classification of Shopee and Tokopedia sales data at PT BWI. Obtain data that the most sales are in the province of DKI Jakarta. As well as the most sales data, namely through Tokopedia. And the results of research conducted with the Naïve Bayes algorithm for Shopee data get 97.8% accuracy and Tokopedia get 98.7% accuracy. Key words: classification, PT BWI, Naïve Bayes,Tokopedia,Shopee

Item Type:	Thesis (S2)
Call Number CD:	FIK/INFO 23 041
NIM/NIDN Creators:	41519310009
Uncontrolled Keywords:	Klasifikasi, PT BWI, Naïve Bayes,Tokopedia,Shopee
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:	29 Sep 2023 03:24
Last Modified:	29 Sep 2023 03:24
URI:	http://repository.mercubuana.ac.id/id/eprint/81609

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