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Pemodelan basis data untuk laporan penjualan wholesale kendaraan mobil. Aam Shodiqul Munir; Rifqi Anugrah; Nurul Ilma Hasana Kunio; Elisabeth Christina Sari; Rizal Sapta Dwi Harjo
JNANALOKA Vol. 02 No. 02 September Tahun 2021
Publisher : Lentera Dua Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36802/jnanaloka.2021.v2-no2-79-85

Abstract

GAIKINDO or the Association of Indonesian Automotive Industries is a non-profit company or organization engaged in the automotive industry. A company can be said to be successful or not, it can be seen from one point of view, namely sales to the company. Sales is one of the important things for the company because it can support the company's growth. Due to the development of the times, the competition between companies is getting tougher, companies are required to be more creative in marketing their products, one way is to carry out a promotional activity to the public to convey the existence of products in the market. Every product that is sold must have product characteristics so that it can attract the attention of buyers. This study aims to analyze sales data at the GAIKINDO company to find out which of the categories, brands, specifications and others are the reasons for buyers to buy a car during the pandemic in January to December 2020. In addition, this study also aims to perform data modeling using car sales wholesale data obtained from GAIKINDO in January 2020 to December 2020. And to facilitate the search for car sales information based on specifications, brands and other categories. In data analysis using several data modeling techniques, namely sitemap and data flow diagram modeling to design the flow of the data to be modeled.
Desain Dan Optimalisasi Database Hasil Scrapping Untuk Sistem Pencarian Laptop Rizal Sapta Dwi Harjo; Miftahul Arifin; Aam Shodiqul Munir
JUSTIFY : Jurnal Sistem Informasi Ibrahimy Vol. 4 No. 2 (2026): JUSTIFY : Jurnal Sistem Informasi Ibrahimy
Publisher : Fakultas Sains dan Teknologi, Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/justify.v4i2.9102

Abstract

Kebutuhan laptop saat ini sudah menjadi kebutuhan primer dalam kehidupan masyarakat. Karena itu diperlukan suatu sistem pencari produk laptop agar masyarakat dapat mencari laptop sesuai dengan kebutuhannya. Data yang didapat untuk system ini diambil dari hasil webscrapping dari dua buah ecommerce dan menghasilkan satu buah table data. Data yang dihasilkan jika di ubah menjadi suatu database menghasilkan database flat dan tidak berelasi. Solusi dari permasalahan tersebut adalah mendesain Kembali dan mengoptimalisasi database tersebut. Optimalisasi database dapat dilakukan dengan beberapa cara diantaranya memalui DDL dan DML. Proses pegumpulan data yang akan digunakan adalah pengumpulan data menggunakan metode web scrapping kemudian mendesain database berdasarkan data yang telah dihasilkan dari metode web scrapping tersebut. Hasil dari penelitian ini adalah membangun dan mengoptimalisasi database sehingga lebih mudah dalam melakukan analisa dan pencarian.