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KELOMPOK PENUH
ACTION
1. Doni Saputra
2. Jeri Setiawan
3. Alfin Fauzan
JARINGAN SYARAF TIRUAN ALGORITMA
BACKPROPAGATION DALAM MEMPREDIKSI
KETERSEDIAAN KOMODITI PANGAN PROVINSI RIAU
2
KELOMPOK PENUH ACTION
JURNAL NASIONAL
LATAR BELAKANG MASALAH
Sebuah sistem untuk prediksi ketersediaan komoditi pangan dapat membantu dalam menentukan
keputusan. Jaringan Syaraf Tiruan merupakan metode yang mampu melakukan proses matematis untuk
prediksi kertersediaan komoditi pangan. Dengan algoritma Backpropagation, dilakukan proses pengolahan
data terdahulu yang dijadikan input untuk prediksi ketersediaan komoditi pangan. Data yang diolah sebagai
variabel input adalah Luas Area Panen, Tingkat Produktivitas, Jumlah Produksi dan Jumlah Kebutuhan
Konsumsi. Sementara komoditi pangan yang diolah adalah jenis Padi, Jagung, Kedelai, Kacang Tanah,
Kacang Hijau, Ubi Kayu dan Ubi Jalar. Data-data tersebut diambil dari tahun 2006 hingga tahun 2013.
Tahun 2006 hingga 2012 dijadikan data input, sementara untuk tahun 2013 dijadikan data target. Beberapa
tahapan Backpropagation yaitu dengan inisialisasi bobot, aktivasi, menghitung bobot input dan bias output
dan perubahan bobot dan bias. Tahapan tersebut akan diperoleh output yang ingin dicapai dengan
pendekatan error terkecil sehingga di peroleh hasil prediksi ketersediaan komoditi pangan. Proses pelatihan
menggunakan alat bantu perangkat lunak Matlab 6.1. Hasilnya adalah prediksi jumlah ketersediaan
komoditi pangan dengan proses pelatihan dan pengujian menghasilkan actual output sebagai target yang
dicapai.
KELOMPOK PENUH ACTION
METODE YANG DI GUNAKAN
1. Analisis Kebutuhan
Pada penelitian ini, analisa kebutuhan yang dibutuhkan
analisa kebutuhan masukan, kebutuhan proses dan kebutuhan
keluaran.
2. Analisis Kebutuhan Masukan
Dalam analisa kebutuhan masukan (input) pada penelitian ini
dibutuhkan data komoditi pangan yang akan melalui proses
pelatihan dan pengujian menggunakan jaringan syaraf tiruan
algoritma backpropagation.
4
3. Analisis Kebutuhan Proses
Dalam analisa kebutuhan proses pada penelitian ini
dibutuhkan perangkat keras dan perangkat lunak melakukan
proses pelatihan dan pengujian jaringan syaraf tiruan
algoritma backpropagation, berikut perangkat keras dan
perangkat lunak yang akan digunakan.
a. Perangkat Keras : Laptop Axioo Pico 10 Inches
Processor : Intel Atom CPU D2500 1,86 GHz
RAM : 2 GB
Harddisk : 320 GB
b. Perangkat Lunak
COMPARISON
Lorem ipsum dolor sit amet, consectetuer adipiscing elit.
Maecenas porttitor congue massa
Section 1 Title
• Lorem ipsum dolor sit amet, consectetuer
adipiscing elit. Maecenas porttitor congue
massa. Fusce posuere, magna sed pulvinar
ultricies, purus lectus malesuada libero
• Nunc viverra imperdiet enim. Fusce est.
Vivamus a tellus.
• Pellentesque habitant morbi tristique
senectus et netus et malesuada fames ac
turpis egestas. Proin pharetra nonummy
pede. Mauris et orci.
Section 2 Title
• Lorem ipsum dolor sit amet, consectetuer
adipiscing elit. Maecenas porttitor congue
massa. Fusce posuere, magna sed pulvinar
ultricies, purus lectus malesuada libero, sit
amet commodo magna eros quis urna.
• Nunc viverra imperdiet enim. Fusce est.
Vivamus a tellus.
• Pellentesque habitant morbi tristique senectus
et netus et malesuada fames ac turpis egestas.
Proin pharetra nonummy pede
ADD A FOOTER 5
CHART SLIDE
Lorem ipsum dolor sit amet,
consectetuer adipiscing elit.
Maecenas porttitor congue
massa. Fusce posuere
$0
$10,000
$20,000
$30,000
$40,000
$50,000
20XX 20XX 20XX 20XX 20XX
ADD A FOOTER 6
Category 1 Category 2 Category 3
Subject 1 50,000 400,000 1,600,000
Subject 2 500,000 4,000,000 16,000,000
Subject 3 75 80 90
Subject 4 5,625,000 48,000,000 216,000,000
Subject 5 0 0 0
Subject 6 5,625,000 48,000,000 216,000,000
Subject 7 1,687,500 9,600,000 21,600,000
Subject 8 562,500 2,400,000 10,800,000
Subject 9 281,250 2,400,000 4,320,000
Subject 10 7,593,750 52,800,000 187,920,000
TABLE
SLIDE
Lorem ipsum dolor sit
amet, consectetuer
adipiscing elit.
Maecenas porttitor
congue massa
ADD A FOOTER 7
BIG IMAGE SLIDE
Lorem ipsum dolor sit amet, consectetuer adipiscing elit
ADD A FOOTER 8
VIDEO SLIDE
ADD A FOOTER 9
THANK YOU!
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KELOMPOK PENUH ACTION, menjelaskan .pptx

  • 1. KELOMPOK PENUH ACTION 1. Doni Saputra 2. Jeri Setiawan 3. Alfin Fauzan
  • 2. JARINGAN SYARAF TIRUAN ALGORITMA BACKPROPAGATION DALAM MEMPREDIKSI KETERSEDIAAN KOMODITI PANGAN PROVINSI RIAU 2 KELOMPOK PENUH ACTION JURNAL NASIONAL
  • 3. LATAR BELAKANG MASALAH Sebuah sistem untuk prediksi ketersediaan komoditi pangan dapat membantu dalam menentukan keputusan. Jaringan Syaraf Tiruan merupakan metode yang mampu melakukan proses matematis untuk prediksi kertersediaan komoditi pangan. Dengan algoritma Backpropagation, dilakukan proses pengolahan data terdahulu yang dijadikan input untuk prediksi ketersediaan komoditi pangan. Data yang diolah sebagai variabel input adalah Luas Area Panen, Tingkat Produktivitas, Jumlah Produksi dan Jumlah Kebutuhan Konsumsi. Sementara komoditi pangan yang diolah adalah jenis Padi, Jagung, Kedelai, Kacang Tanah, Kacang Hijau, Ubi Kayu dan Ubi Jalar. Data-data tersebut diambil dari tahun 2006 hingga tahun 2013. Tahun 2006 hingga 2012 dijadikan data input, sementara untuk tahun 2013 dijadikan data target. Beberapa tahapan Backpropagation yaitu dengan inisialisasi bobot, aktivasi, menghitung bobot input dan bias output dan perubahan bobot dan bias. Tahapan tersebut akan diperoleh output yang ingin dicapai dengan pendekatan error terkecil sehingga di peroleh hasil prediksi ketersediaan komoditi pangan. Proses pelatihan menggunakan alat bantu perangkat lunak Matlab 6.1. Hasilnya adalah prediksi jumlah ketersediaan komoditi pangan dengan proses pelatihan dan pengujian menghasilkan actual output sebagai target yang dicapai. KELOMPOK PENUH ACTION
  • 4. METODE YANG DI GUNAKAN 1. Analisis Kebutuhan Pada penelitian ini, analisa kebutuhan yang dibutuhkan analisa kebutuhan masukan, kebutuhan proses dan kebutuhan keluaran. 2. Analisis Kebutuhan Masukan Dalam analisa kebutuhan masukan (input) pada penelitian ini dibutuhkan data komoditi pangan yang akan melalui proses pelatihan dan pengujian menggunakan jaringan syaraf tiruan algoritma backpropagation. 4 3. Analisis Kebutuhan Proses Dalam analisa kebutuhan proses pada penelitian ini dibutuhkan perangkat keras dan perangkat lunak melakukan proses pelatihan dan pengujian jaringan syaraf tiruan algoritma backpropagation, berikut perangkat keras dan perangkat lunak yang akan digunakan. a. Perangkat Keras : Laptop Axioo Pico 10 Inches Processor : Intel Atom CPU D2500 1,86 GHz RAM : 2 GB Harddisk : 320 GB b. Perangkat Lunak
  • 5. COMPARISON Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Maecenas porttitor congue massa Section 1 Title • Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Maecenas porttitor congue massa. Fusce posuere, magna sed pulvinar ultricies, purus lectus malesuada libero • Nunc viverra imperdiet enim. Fusce est. Vivamus a tellus. • Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Proin pharetra nonummy pede. Mauris et orci. Section 2 Title • Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Maecenas porttitor congue massa. Fusce posuere, magna sed pulvinar ultricies, purus lectus malesuada libero, sit amet commodo magna eros quis urna. • Nunc viverra imperdiet enim. Fusce est. Vivamus a tellus. • Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Proin pharetra nonummy pede ADD A FOOTER 5
  • 6. CHART SLIDE Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Maecenas porttitor congue massa. Fusce posuere $0 $10,000 $20,000 $30,000 $40,000 $50,000 20XX 20XX 20XX 20XX 20XX ADD A FOOTER 6
  • 7. Category 1 Category 2 Category 3 Subject 1 50,000 400,000 1,600,000 Subject 2 500,000 4,000,000 16,000,000 Subject 3 75 80 90 Subject 4 5,625,000 48,000,000 216,000,000 Subject 5 0 0 0 Subject 6 5,625,000 48,000,000 216,000,000 Subject 7 1,687,500 9,600,000 21,600,000 Subject 8 562,500 2,400,000 10,800,000 Subject 9 281,250 2,400,000 4,320,000 Subject 10 7,593,750 52,800,000 187,920,000 TABLE SLIDE Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Maecenas porttitor congue massa ADD A FOOTER 7
  • 8. BIG IMAGE SLIDE Lorem ipsum dolor sit amet, consectetuer adipiscing elit ADD A FOOTER 8
  • 9. VIDEO SLIDE ADD A FOOTER 9
  • 11. Customize this Template Template Editing Instructions and Feedback ADD A FOOTER 11