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All Journal Sistemasi: Jurnal Sistem Informasi Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Knowledge Engineering and Data Science JURNAL REKAYASA TEKNOLOGI INFORMASI ILKOM Jurnal Ilmiah Sains, Aplikasi, Komputasi dan Teknologi Informasi Jurnal J-PEMAS Pengabdian Kampus: Jurnal Informasi Kegiatan Pengabdian Pada Masyarakat Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek) Adopsi Teknologi dan Sistem Informasi Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi
Pakpahan, Herman Santoso
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Social Sciences

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Journal : ILKOM Jurnal Ilmiah

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ALGORITMA BACKPROPAGATION NEURAL NETWORK DALAM MEMPREDIKSI HARGA KOMODITI TANAMAN KARET Simanungkalit, Julius Rinaldi; Haviluddin, Haviluddin; Pakpahan, Herman Santoso; Puspitasari, Novianti; Wati, Masna
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1446.527 KB) | DOI: 10.33096/ilkom.v12i1.521.32-38

Abstract

Rubber plantation sector is one of the leading commodities in East Kalimantan Province contributing greatly to non-oil and gas exports. Currently, the price of rubber in the world is increasingly competitive. The aim of this research is to predict the rubber prices as a reference for the government and companies in making policies and preparing work plans. Data of 60 months during the period of 2014-2018 taken from Plantation office of East Kalimantan Province has been analyzed using Backpropagation Neural Network (BPNN) algorithm in predicting rubber prices. Based on the testing results, parameters of the BPNN algorithm with ratio of 4: 1, architectural models 5-10-10-10-1, trainlm learning function, learning rate of 0.5, error tolerance of 0.01, and epoch of 1000 have gained good accuracy with a mean square error (MSE) of 0.00015464. The results showed that the BPNN algorithm can be used as an alternative method in forecasting.
Algoritma Backpropagation Neural Network dalam Memprediksi Harga Komoditi Tanaman Karet Julius Rinaldi Simanungkalit; Haviluddin Haviluddin; Herman Santoso Pakpahan; Novianti Puspitasari; Masna Wati
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v12i1.521.32-38

Abstract

Rubber plantation sector is one of the leading commodities in East Kalimantan Province contributing greatly to non-oil and gas exports. Currently, the price of rubber in the world is increasingly competitive. The aim of this research is to predict the rubber prices as a reference for the government and companies in making policies and preparing work plans. Data of 60 months during the period of 2014-2018 taken from Plantation office of East Kalimantan Province has been analyzed using Backpropagation Neural Network (BPNN) algorithm in predicting rubber prices. Based on the testing results, parameters of the BPNN algorithm with ratio of 4: 1, architectural models 5-10-10-10-1, trainlm learning function, learning rate of 0.5, error tolerance of 0.01, and epoch of 1000 have gained good accuracy with a mean square error (MSE) of 0.00015464. The results showed that the BPNN algorithm can be used as an alternative method in forecasting.
Co-Authors Aji Prasetya Wibawa Aji Sudjai Aswar Alameka, Faza Alfan Nurfaizin Andriawan, Deden Anton Prafanto Ayu Puspita Wulandari Basani, Yuniarta Budiman, Edy Chrisman Bonor Sinaga Daniel Saputra Dinda Izmya Nurpadillah Dwi Kinasih Widiyati Felix Andika Dwiyanto Fenny Indar Firmanda, Haga Daffa Aska Gubtha Mahendra Putra Haga Daffa Aska Firmanda Hairah, Ummul Haviluddin Haviluddin indrajit, Indrajit Islamiyah Islamiyah Islamiyah Islamiyah Joan Angelina Widians, Joan Angelina Julius Rinaldi Simanungkalit Kelvin Wong Lilik Hendrajaya Maratus Soleha Muh Fathir Fahrezah Muhammad Bambang Firdaus Nataniel Dengen Nathaniel Dengen Ni’mah Moham Ni’mah Moham Nur Shadrina Pohny Pohny Puspitasari, Novianti Puspitorini, Mega Rahayu, Ervina Rahmawati Rina Hariani Rayner Alfred Rayner Alfred Richard Giovanni Ardie Wong Rima Yustika Hasnida Riyayatsyah, Riyayatsyah Setyadi, Hario Jati Simanungkalit, Julius Rinaldi Solly Aryza Suryani Junita Patandianan Taruk, Medi Tejawati, Andi Wati, Masna Widians, Joan Angelina Zainal Arifin