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Image of OPTIMASI FUZZY TIME SERIES MENGGUNAKAN PARTICLE SWARM OPTIMIZATION PADA PERAMALAN JUMLAH TANDAN BUAH SEGAR (TBS) KELAPPA SAWIT

Skripsi

OPTIMASI FUZZY TIME SERIES MENGGUNAKAN PARTICLE SWARM OPTIMIZATION PADA PERAMALAN JUMLAH TANDAN BUAH SEGAR (TBS) KELAPPA SAWIT

Aliyah, Aisyah Filza - Personal Name;

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Penilaian anda saat ini :  

Palm oil is a reliable vegetable oil producer because the oil produced has advantages than oils from other plants. The amount of Fresh Fruit Bunches (FFB) raw material from Palm oil has a significant impact on the palm oil production process. Therefore, we need a method to forecasting the amount of palm oil (FFB). One of the suitable forecasting methods is fuzzy time series (FTS). However, FTS still has shortcomings such as innacurate determination of the interval length. For this reason, we need to optimize FTS interval to get optimal forecasting. This research implements Particle Swarm Optimization as the optimization method, FTS Chen-Hsu as the forecast method, and Mean Absolute Percentage Error (MAPE) as the measurement of error. The optimization result using PSO produce an error value of 2.0262% smaller than FTS 3.7108%.


Availability
Inventory Code Barcode Call Number Location Status
T502692021T50269T502692021Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T502692021
Publisher
Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2021
Collation
xvii, 62 hlm,: ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
004.07
Content Type
Text
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Pemrosesan Data, Teknik Informatika
Prodi Teknik Informatika
Specific Detail Info
-
Statement of Responsibility
MURZ
Other version/related

No other version available

File Attachment
  • OPTIMASI FUZZY TIME SERIES MENGGUNAKAN PARTICLE SWARM OPTIMIZATION PADA PERAMALAN JUMLAH TANDAN BUAH SEGAR (TBS) KELAPPA SAWIT
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