Informasi Umum

Kode

19.04.4786

Klasifikasi

006.312 - Data mining

Jenis

Karya Ilmiah - Skripsi (S1) - Reference

Subjek

Data Mining

Dilihat

194 kali

Informasi Lainnya

Abstraksi

The price fluctuation of chili is one of the economic problems faced by every chili-producing country in the world, including in Indonesia. Chili is a vegetable that is consumed almost every day by the people of Indonesia. In Bandung district area, chili has been experiencing price fluctuations in the last four years, according to data obtained from the Bandung Regency Area Trade and Industry Service. Many factors cause the price of chili to fluctuate—one of them being the weather. This is because chili is a plant that is easily damaged if exposed to too much water. This research predicts chili prices in Bandung Regency using the Support Vector Machine (SVM) algorithm, which is optimized by an Adaptive Neuro-Fuzzy Inference System (ANFIS) and based on weather factors. The average accuracy of training and testing data was 94.07%; the training and testing data using the SVM algorithm produced 89.90% average accuracy and the average accuracy of training and testing data using the ANFIS algorithm was 92.68%.

  • BUG1D2 - BAHASA INGGRIS I
  • BUG1E2 - BAHASA INGGRIS II
  • CS4333 - DATA MINING
  • CIG4A3 - PEMBELAJARAN MESIN
  • CCH4A3 - PENULISAN PROPOSAL
  • CIG4B3 - SOFT COMPUTING
  • CCH4D4 - TUGAS AKHIR
  • CII4A2 - PENULISAN PROPOSAL
  • CII4E4 - TUGAS AKHIR
  • CPI4A2 - PENULISAN PROPOSAL
  • III4A4 - TUGAS AKHIR
  • CII9G6 - PROPOSAL PENELITIAN

Koleksi & Sirkulasi

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Pengarang

Nama ASMA HASIFA NURCAHYONO
Jenis Perorangan
Penyunting FHIRA NHITA, DENI SAEPUDIN
Penerjemah

Penerbit

Nama Universitas Telkom, S1 Ilmu Komputasi
Kota Bandung
Tahun 2019

Sirkulasi

Harga sewa IDR 0,00
Denda harian IDR 0,00
Jenis Non-Sirkulasi