Yulis, Yulis (2025) IMPLEMENTASI BUSINESS INTELLIGENCE UNTUK MONITORING AKTIVITAS TINGKAT PENJUALAN DAN PREDIKSI JUMLAH PENGUNJUNG DENGAN MENGGUNAKAN METODE FORECASTING PADA RESTORAN KSF88. S1 / D3 thesis, Universitas Kuningan.

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Official URL: https://rama.uniku.ac.id

Abstract

KSF88 merupakan salah satu restoran yang menyediakan berbagai jenis makanan khas Korea Selatan dan telah memiliki beberapa cabang di kabupaten Kuningan. Dalam proses bisnisnya, pengumpulan data penjualan dari cabang restoran tidak
tersusun dengan baik menyebabkan pihak KSF88 kesulitan dalam melakukan monitoring penjualan dan pengambilan keputusan perencanaan strategi bisnis. Maka dari itu diperlukan suatu solusi untuk membantu dalam hal monitoring penjualan di Restoran KSF88. Dengan adanya penelitian ini bertujuan untuk membangun sistem monitoring penjualan dengan menerapkan konsep Business
Intelligence. Sistem ini dibangun dengan metode Rapid Application Development (RAD) dan perancangan sistem berorientasi objek UML. Rancangan tersebut diterapkan menggunakan PHP dan Code Igniter (CI) sehingga menghasilkan sistem monitoring penjualan berbasis website dengan menerapkan Business Intelligence dengan metode Forecasting. Sistem yang dibangun membantu pihak KSF88 dalam melakukan monitoring penjualan, proses pengambilan keputusan dan perencanaan strategi bisnis pada Restoran KSF88.

The KSF8 is one of the restaurants that offers a variety of traditional South Korean dishes and has several branches in Kuningan Regency. In its business process, the collection of sales data from the restaurant branches is not well organized, causing KSF88 to struggle with monitoring sales and making strategic business planning decisions. Therefore, a solution is needed to assist in monitoring sales at KSF88. This research aims to develop a sales monitoring system by applying the concept of Business Intelligence. The system is built using the Rapid Application Development (RAD) method and object-oriented system design with UML. The design is implemented using PHP and CodeIgniter (CI). The result is a web-based sales monitoring system that applies Business Intelligence through forecasting methods. The developed system helps KSF88 in monitoring sales, decision-making processes, and strategic business planning.

Item Type: Thesis (S1 / D3)
Uncontrolled Keywords: Business Intelligence, Forecasting, UML, RAD. Business Intelligence, Forecasting, UML, RAD.
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Ilmu Komputer > S1 Sistem Informasi
Depositing User: S.Kom Yulis .
Date Deposited: 10 Jul 2025 07:36
Last Modified: 10 Jul 2025 07:36
URI: https://rama.uniku.ac.id/id/eprint/2831

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