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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) TIN: TERAPAN INFORMATIKA NUSANTARA RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI BEES: Bulletin of Electrical and Electronics Engineering
Saifullah Saifullah
STIKOM Tunas Bangsa, Pematangsiantar
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Journal : TIN: TERAPAN INFORMATIKA NUSANTARA

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Penerapan Algoritma Backpropagation dalam Memprediksi Kebutuhan Blangko Sertipikat Tanah pada Kantor BPN Kota Pematangsiantar Astri Veranita Sinaga; Saifullah Saifullah; Jaya Tata Hardinata
TIN: Terapan Informatika Nusantara Vol 1 No 11 (2021): April 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Pematangsiantar City is one of the regions in Indonesia which has a land area of ​​79.97 KM2. the office of the National Land Affairs Agency is a non-ministerial government institution in Indonesia that has the task of carrying out government duties in the land sector in the city of Pematangsiantar and providing land certificates for the community. A system for predicting the need for blank soil certificates using the Artificial Neural Network method is a method that is able to perform a mathematical process to predict the need for blank certificates for soil certificates using the backpropagation algorithm for data processing implemented with matlab. Data were collected through direct observation and grouped based on the annual need for blango factors. The results obtained from the test are the performance and epoch values ​​where each architecture is not the same. The test results are displayed in the form of a graph comparing the target value with the training and testing process.
Penerapan Algoritma Backprogation Untuk Memprediksi Tingkat Kerawanan Banjir di Wilayah Kabupaten Mandailing Natal Putriyani Matondang; Saifullah Saifullah; Jaya Tata Hardinata
TIN: Terapan Informatika Nusantara Vol 1 No 11 (2021): April 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

The purpose of this study was to determine the flood vulnerability in the Mandailing Natal Regency. In this study, researchers used the Artificial Neural Network method with the Backprogation algorithm. Artificial neural network method is a method that is able to perform mathematical processes to predict flood-prone areas with backprogation algorithms for data management that is applied by matlap. The data source used is direct observation in the area of Mandailing Natal Regency. The data will be managed based on flood disasters that occur every year. The results obtained from the test are performance and epoch values where each architecture is not the same, the test results are displayed in the form of a graph comparing the target value with the training and testing process.
Co-Authors Agus Perdana Windarto Ali Akhbar Nasution Astri Veranita Sinaga Dedy Hartama Dewinta Marthadinata Sinaga Eka Irawan Irfan Sudahri Damanik Jaya Tata Hardinata Nurhayati Nurhayati Paulus Hendrico Silalahi Putriyani Matondang Winanjaya, Riki