Prediksi Ketersediaan Benih Padi (Oryza Sativa.L) Di Provinsi Maluku Menggunakan Metode Adaptive Neuro-Fuzzy Inference System (Anfis) - Prediction Of The Rice Seeds Availability (Oryza Sativa.L) In The Province Of Maluku By Using Adaptive Neuro Fuzzy Inferensi System (ANFIS) Method

Syatauw, Lukas (2016) Prediksi Ketersediaan Benih Padi (Oryza Sativa.L) Di Provinsi Maluku Menggunakan Metode Adaptive Neuro-Fuzzy Inference System (Anfis) - Prediction Of The Rice Seeds Availability (Oryza Sativa.L) In The Province Of Maluku By Using Adaptive Neuro Fuzzy Inferensi System (ANFIS) Method. Masters thesis, Institut Teknologi Sepuluh Nopember.

[img]
Preview
Text
2214206720-Master Thesis.pdf - Published Version

Download (2MB) | Preview

Abstract

Sistem perbenihan yang tangguh (produktif, efisien, berdaya saing dan berkelanjutan) sangat diperlukan untuk mendukung upaya peningkatan produksi benih dan mutu produk pertanian. Penelitian ini bertujuan untuk memprediksi ketersediaan benih padi yang ada di Provinsi Maluku.dari data yang tersedia yaitu variabel Sisa periode lalu, tambah stok, jumlah stok, tersalur dan sisa stok. Variabel tersebut kemudian diolah membentuk tiga selang linguistik yaitu rendah, sedang dan tinggi kemudian diolah menggunakan Adaptive Neuro Fuzzy (Anfis) yang membentuk lima Member Function input dan satu output. Hasil dari proses training anfis menunjukan bahwa pada iterasi kedua telah mencapai eror konstan sebesar 0,057018 dan nilai eror rata-rata 0,0015364. Perhitungan tersbut kemudian dibandingkan dengan data aktual yang ada untuk menghitung MAPE dan RMSE diperoleh hasil MAPE sebesar 5.316884, dan RMSE sebesar 28.28583 dengan demikian sistim yang dipergunakan cukup valid dan dapat dipergunakan untuk menentukan prediksi ketersediaan padi. ======================================================================================================================== A formidable seeding process (productive, efficient, competitive and continuous seeding process) is highly necessary to support the effort to increase seeds production quantity and the quality of agricultural product. Our propose is done to predict the availability of rice seeds in Maluku by using Adaptive Neuro Fuzzy (Anfis)which forming five Members Function input and one output. from the availability data, which variable of the last period, additional stock, total stock, is channeled and the last stock. The variable then process to be 3 pipes of linguistic which are low, medium, and high by using the Adaptive Neuro Fuzzy (Anfis) which make five input member functions and one output. The result of this anfis training process shows that the constant error value of 0,057018 and the average error value of 0,0015364have been reached on the second iteration. This calculation, which used artificial intelligence, is then compared to the actual data to calculate MAPE and RMSE which are gained from the MAPE result of 5.316884, and RMSE as much as 28.2858; thus, the system used here is valid and can be used to determine the prediction of rice seeds availability.

Item Type: Thesis (Masters)
Additional Information: RTE 629.229 3 Sya p
Uncontrolled Keywords: Prediksi, Anfis, benih padi, Prediction, Anfis, Rice Seeds
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ217.6 Predictive Control
Divisions: Faculty of Industrial Technology > Electrical Engineering
Depositing User: ansi aflacha
Date Deposited: 17 Dec 2019 02:42
Last Modified: 17 Dec 2019 02:42
URI: http://repository.its.ac.id/id/eprint/72384

Actions (login required)

View Item View Item