PENERAPAN KONSEP E-SUPPLY CHAIN MANAGEMENT (E- SCM) DALAM PENGEMBANGAN SISTEM INFORMASI PENDISTRIBUSIAN PRODUK PADA PT SINAR NIAGA SEJAHTERA (GARUDA FOOD)

ABDURRAHMAN, HISYAM and Putra, Apriansyah and Heroza, Rahmat Izwan (2016) PENERAPAN KONSEP E-SUPPLY CHAIN MANAGEMENT (E- SCM) DALAM PENGEMBANGAN SISTEM INFORMASI PENDISTRIBUSIAN PRODUK PADA PT SINAR NIAGA SEJAHTERA (GARUDA FOOD). Undergraduate thesis, Sriwijaya University.

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Abstract

PT Sinar Niaga Sejahtera is a company engaged in the distribution of food products and non-food. The company is not yet fully implemented the Electronic Supply Chain Management in business processes and there are still some problems, namely, a time to plant demand for goods has not been regularly whenever circumstances demand periods and inventory in the warehouse that will run hard to be in the know by the company. In addition, the lack of inventory information that can be accessed by all parts of the company. The purpose of this study is to implement the Electronic Supply Chain Management web-based that can be used to help PT Sinar Niaga Sejahtera as a means to support the process and transaction flow of goods and help the management of inventory. System development method used in this research is the method FAST (Framework for the Application of Systems Thinking). The method used in calculating the number of items to be ordered is a method of EOQ (Economic Order Quantity). The design software on the system using the programming language PHP using MySQL database. This system has facilities that can help the PT Sinar Niaga Sejahtera manage inventory in the warehouse, managing demand for factory goods, manage customer bookings, perform searches inventory information and data collection process that will be made in the report.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Electronic Supply Chain Management, Economic Order Quantity, Reorder Point, Safety Stock, FAST
Subjects: H Social Sciences > HF Commerce > HF5410-5417.5 Marketing. Distribution of products > HF5415.126.R38 Database marketing--Statistical methods. Data mining--Statistical methods. Big data--Statistical methods.
T Technology > T Technology (General) > T58.6-58.62 Management information systems > T58.6 General works Industrial engineering Information technology. Information systems (General) Management information systems -- Continued
Divisions: Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User: Mr Halim Sobri
Date Deposited: 03 Jan 2020 06:39
Last Modified: 03 Jan 2020 06:39
URI: http://repository.unsri.ac.id/id/eprint/23082

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