This work has been retracted.
Design of Decision Support System Determination of Inventory Inventory Using Single Exponential Smoothing Forecasting Method
Year: 2018
Type: conference-paper
Abstract: The development of information and communication technology at this time has touched all sides of life. Almost no side of human life is not touched by this information technology, which is more synonymous with the world of computerization. No exception also with the computerization that is popular in the corporate environment and government agencies. If in ancient times everything was still done manually. However, at this time all leaders and management have realized the importance of this information technology products that can facilitate them in carrying out the day-to-day corporate functions. Decision Making System of goods purchasing is one of the determinants of the accumulation of goods. If the decision is taken right then stockpiling of goods can be avoided. In this thesis the authors designed a web-based system that helps Management in making the decision of the purchase amount of goods. the system was developed by using Microsoft Visual Studio 2010 and using SQL Server database processing applications. The end result of system design is expected to help minimize the accumulation of goods.
Authors: Muhammad Iqbal, Dahlan Abdullah, H Hartono, Cut Ita Erliana, S Sriadhi, Nurmawati, M Adhi Prasnowo, Abdurrozzaq Hasibuan, Akbar Iskandar, Kundharu Saddhono, Abdussakir, Hastuti Musa, Muhammad Ikhsan Setiawan, Youmeni Sagala, Rumiris Siahaan, Eka Mayastika Sinaga, Anggraini Syahputri, Feby Milanie, Henry Aspan, Muammar Khaddafi
Institutions: Universitas Pembangunan Panca Budi Medan, Malikussaleh University, State University of Medan, Universitas 45 Surabaya, Universitas Maarif Hasyim Latif, North Sumatra Islamic University, Sebelas Maret University, Universitas Muhammadiyah Parepare, Universitas Narotama, Sekolah Tinggi Ilmu Ekonomi Bina Karya
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W2905366271