Ardiansyah, Ryan (2024) Rancang Bangun Sistem Prediksi Produksi Berbasis Website Menggunakan Metode Double Exponential Smoothing Untuk Meningkatkan Efisiensi Operasional UMKM Halimaa. (Design of A Website Based Production Prediction System Using The Double Exponential Smoothing Method To Improve The Operational Efficiency of UMKM Halimaa). Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.
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Abstract
Prediction management is an important component of business strategy in the business world, which focuses on predicting production based on historical data. This quality significantly affects a company's ability to make more accurate decisions. Prediction management is critical in business operations, as it helps companies achieve their expected goals. This is especially important for companies such as Halimaa UMKM, which produce various cosmetic products to create quality products and reduce waste. This research aims to develop a more accurate production prediction system using Double Exponential Smoothing, which can assist companies in making more accurate decisions and improve operational efficiency. This research utilises a quantitative approach in data analysis, with the aim of making a positive contribution to the company in an effort to improve production quality and profitability.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | prediction, double exponential smoothing, production, forecasting |
| Subjects: | T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery T Technology > TN Mining engineering. Metallurgy |
| Divisions: | Fakultas Teknik > Program Studi Teknik Informatika |
| Depositing User: | 1462000055 Ryan Ardiansyah |
| Date Deposited: | 05 Oct 2001 15:26 |
| Last Modified: | 05 Oct 2001 15:26 |
| URI: | http://repository.untag-sby.ac.id/id/eprint/35439 |
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