Skripsi

IMPLEMENTASI METODE TIME-INVARIANT FUZZY TIME SERIES UNTUK MEMPREDIKSI HARGA BERAS DI KOTA PALEMBANG

---

Penilaian

---

Rice prices are food commodity prices that are always monitored and government intervention, because rice prices are able to influence food security, poverty, and economic growth. Rice prices are often volatile. Rice price prediction is very important to be used as information in making decisions and planning appropriate activities. This study discusses the implementation of Time-Invariant Fuzzy Time Series method in predicting rice prices in Palembang. The purpose of this study was to determine the level of accuracy of the Time-Invariant Fuzzy Time Series method. Mean Absolute Percentage Error (MAPE) is used to measure the performance of the method as the level of accuracy of predictions made. Historical test data was used as many as 249 data from the period December 15, 2021 to December 15, 2022 with parameter values D1 and D2. The use of parameter values will affect the predicted result value. From the results of the analysis conducted with 30 input experiments on the parameters obtained the best accuracy results with D1=3380 and D2=3250, with MAPE 1.033%.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2307002741	T115524	T1155242023	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T1155242023

Publisher

Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xvi, 57 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

003.07

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

analisis
Jurusan Teknik Informatika

Specific Detail Info

-

Statement of Responsibility

FIRA

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment