Skripsi

PREDIKSI JUMLAH PRODUKSI KERTAS A3 MENGGUNAKAN ALGORITMA PROPHET

---

Penilaian

---

The era of globalization has driven intense competition among businesses, forcing them to become smarter in fulfilling customer demand. One strategy adopted by companies is using machine learning to predict customer demand. This study focuses on the use of the Prophet algorithm developed by Meta or Facebook and published in 2017. The Prophet algorithm is resilient to missing data, changes over time, and data limitations, requiring minimal data modifications. The object of study in this research is a printing company in Palembang, Indonesia, called F18 Digital Printing, through the analysis of A3 paper production data with external factors such as the COVID-19 period and holidays. The data range used starts from 1July 2019 to 31 December 2022, for training data, and from 1 January 2023 to 30 June 2023. This study aims to compare the RMSE values of prediction results between two different time ranges. The Prophet algorithm has proven capable of predicting A3 paper production to anticipate warehouse needs and meet customer demands by providing low RMSE value at 197,17 for art paper 210. This research is expected to provide further insights into the effectiveness of the Prophet algorithm in the context of the printing industry

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2407002434	T143027	T1430272024	Central Library (References)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T1430272024

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xii, 113 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

004.07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

-

Subject(s)

Prodi Teknik Informatika

Specific Detail Info

-

Statement of Responsibility

KA

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment