Text

PREDIKSI HASIL PANEN KELAPA SAWIT MENGGUNAKAN FUZZY SUGENO KANG

---

Penilaian

---

Palm oil plantation plantations in South Sumatra according to Central Vertical Service (BPS, 2021) data decreased by 3,062 tonnes by 2021, down from 2018. Yield is influenced by several factors, such as: environmental influences, culture medium, quality, severe technical culture violations (Yanto et al., 2019). This study aims to make it easier to prepare for the optimization of total oil yield based on the prediction using Fuzzy Kang. Sugeno Kang's Fuzzy concept has advantages over the other three Fuzzy models, including being able to integrate with Neural Networks, lowering or other optimization techniques (Kamboj and Amrit, 2013). Based on predictable test results using MAPE with yield and fertilization from January to December 2018, the MAPE yield was 85.83% and the error rate was 14.17%. Keywords: Fuzzy Sugeno Kang, MAPE, Palm Oil Yield Prediction.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2307001710	T91310	T913102023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T913102023

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xiv, 72 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

006.307

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Sistem Pakar
Jurusan Teknik Informatika

Specific Detail Info

-

Statement of Responsibility

SEPTA

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment