Penerapan Algoritma Backpropagation dalam Memprediksi Kebutuhan Blangko Sertipikat Tanah pada Kantor BPN Kota Pematangsiantar
-
Astri Veranita Sinaga
*
STIKOM Tunas Bangsa, Pematangsiantar,
Indonesia
- Saifullah Saifullah STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
- Jaya Tata Hardinata STIKOM Tunas Bangsa, Pematangsiantar, Indonesia (*) Corresponding Author
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.
Downloads
References
Y. A. Lesnussa, S. Latuconsina, and E. R. Persulessy, “Aplikasi Jaringan Saraf Tiruan Backpropagation untuk Memprediksi Prestasi Siswa SMA ( Studi kasus : Prediksi Prestasi Siswa SMAN 4 Ambon ),” Jurnal Matematika Integratif, vol. 11, no. 2, pp. 149–160, 2015.
Solikhun and A. T. Safii, M., “Jaringan Saraf Tiruan Untuk Memprediksi,” Jurnal Sains Komputer & Informatika (J-SAKTI), vol. 1, no. 1, pp. 24–36, 2017.
S. Setti and A. Wanto, “Analysis of Backpropagation Algorithm in Predicting the Most Number of Internet Users in the World,” JOIN (Jurnal Online Informatika), vol. 3, no. 2, pp. 110–115, 2018.
W. Saputra, J. T. Hardinata, and A. Wanto, “Resilient method in determining the best architectural model for predicting open unemployment in Indonesia,” IOP Conference Series: Materials Science and Engineering, vol. 725, no. 1, pp. 1–7, 2020.
T. Afriliansyah et al., “Implementation of Bayesian Regulation Algorithm for Estimation of Production Index Level Micro and Small Industry,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
W. Saputra, J. T. Hardinata, and A. Wanto, “Implementation of Resilient Methods to Predict Open Unemployment in Indonesia According to Higher Education Completed,” JITE (Journal of Informatics and Telecommunication Engineering), vol. 3, no. 1, pp. 163–174, 2019.
W. Saputra, P. Poningsih, M. R. Lubis, S. R. Andani, I. S. Damanik, and A. Wanto, “Analysis of Artificial Neural Network in Predicting the Fuel Consumption by Type of Power Plant,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–5, 2019.
N. L. W. S. R. Ginantra, T. Taufiqurrahman, G. W. Bhawika, I. B. A. I. Iswara, and A. Wanto, “Determination of the Shortest Route Towards the Tourist Destination Area Using the Ant Algorithma,” Journal of Physics: Conference Series, vol. 1339, no. 1, pp. 1–7, 2019.
G. W. Bhawika et al., “Implementation of ANN for Predicting the Percentage of Illiteracy in Indonesia by Age Group,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
M. R. Lubis, W. Saputra, A. Wanto, S. R. Andani, and P. Poningsih, “Analysis of Artificial Neural Networks Method Backpropagation to Improve the Understanding Student in Algorithm and Programming,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
A. Wanto et al., “Analysis of the Backpropagation Algorithm in Viewing Import Value Development Levels Based on Main Country of Origin,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
A. Wanto and J. T. Hardinata, “Estimations of Indonesian poor people as poverty reduction efforts facing industrial revolution 4.0,” IOP Conference Series: Materials Science and Engineering, vol. 725, no. 1, pp. 1–8, 2020.
A. Wanto et al., “Model of Artificial Neural Networks in Predictions of Corn Productivity in an Effort to Overcome Imports in Indonesia,” Journal of Physics: Conference Series, vol. 1339, no. 1, pp. 1–6, 2019.
A. Wanto, J. Na’am, Yuhandri, A. P. Windarto, and Mesran, “Analisis Penurunan Gradien dengan Kombinasi Fungsi Aktivasi pada Algoritma JST untuk Pencarian Akurasi Terbaik,” Jurnal Media Informatika Budidarma, vol. 4, no. 2018, pp. 1197–1205, 2020.
P. Parulian et al., “Analysis of Sequential Order Incremental Methods in Predicting the Number of Victims Affected by Disasters,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
A. Wanto et al., “Analysis of the Accuracy Batch Training Method in Viewing Indonesian Fisheries Cultivation Company Development,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Penerapan Algoritma Backpropagation dalam Memprediksi Kebutuhan Blangko Sertipikat Tanah pada Kantor BPN Kota Pematangsiantar
Pages: 563-568
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
