The Implementation Of The Fletcher-Reeves Algorithm In Predicting The Growth Of Forest Plant Cultures
Keywords:
Neural Network, Fletcher Reeves, Prediction, Forest
Abstract
Forest protection and development are essential because forests are the world's lungs. In addition, the HTI organization (modern manor backwoods) began to hide again. However, due to the great interest in wood to be used as raw material for material and property production lines, large organizations started to develop hamlet wood which was then marketed abroad, such as pressed wood, rattan, sawn timber, and done jobs for individuals in the area around the hamlet. By making a prediction, knowledge about the growth of forest plants can be known so that they can anticipate or minimize the risks that may arise. They can assist in determining policies and making decisions. This study aims to predict the growth of forest plants in the following year using an Artificial Neural Network Algorithm. The information used in this study is from the Central Bureau of Statistics from 2011 to 2022. The method of implementing this research uses the Fletcher-Reeves Algorithm, one of the Artificial Neural Network methods using 5 models, including 7-10-1, 7-15- 1, 7-20-1, 7-25-1, and 7-30-1. Of the five models, the structural model is 7-20-1 with an MSE value of 0.00037397. It can be said that this model can be used because it produces a fast combination and a short period of time.
References
[1] F. Bagaskara and A. C. Tridakusumah, “Dinamika Pengelolaan Hutan Bersama Masyarakat (Studi Kasus LMDH Tani Mukti Giri Jaya, Desa Mekarmanik, Kecamatan Cimenyan, Kabupaten Bandung),” Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis, vol. 7, no. 1, pp. 805–823, Jan. 2021, doi: 10.25157/ma.v7i1.4823.
[2] R. Kusumaningtyas and I. Chofyan, “Pengelolaan Hutan Dalam Mengatasi Alih,” Perencanaan Wilayah dan Kota, vol. 13, no. 2, pp. 1–11, 2012.
[3] K. R. Indriana, R. A. Hadi, and D. Juliana, “Pengujian Unsur Hara Dan pH Tanah Sawah Melalui Metode PUTS (Perangkat Uji Tanah Sawah) Dikelompok Tani Medar Rahayu Desa Citaleus,” Tridarma, vol. 3, no. 1, pp. 129–135, 2020.
[4] P. T. Damayatanti, “Upaya Pelestarian Hutan melalui Pengelolaan Sumberdaya Hutan Bersama Masyarakat,” Komunitas: International Journal of Indonesian Society and Culture, vol. 3, no. 1, pp. 70–82, 2011.
[5] N. Harahab, “the Infuence of Mangrove Ecosystem As Their Role for Catching Productivity (Case Study in Pasuruan Residence, East Java),” Jurnal Perikanan Universitas Gadjah Mada, vol. 11, no. 1, pp. 100–106, 2009.
[6] U. Suwahyono, “Biokonversi Karbondioksida Untuk Bahan,” urnal Teknologi Lingkungan BPPT, vol. 9, no. 1, pp. 1–5, 2008.
[7] V. Marsongkhoe and T. Tantimin, “Analisis Yuridis Kejahatan Pembalakan Liar Di Kota Batam berdasarkan Undang-Undang Nomor 18 Tahun 2013 tentang Pencegahan dan Pemberantasan Pengrusakan Hutan,” Journal of Judicial Review, vol. 22, no. 1, pp. 128–138, 2020.
[8] M. Astiningrum, M. Z. Abdullah, and P. P. Sari, “Identifikasi Kualitas Terung Ungu berdasarkan Warna dan Tekstur menggunakan metode Jaringan Saraf Tiruan,” in Seminar Informatika Aplikatif Polinema, 2020, pp. 554–559.
[9] A. Yusuf, H. Hapsoh, S. H. Siregar, and D. R. Nurrochmat, “Analisis Kebakaran Hutan Dan Lahan Di Provinsi Riau,” Dinamika Lingkungan Indonesia, vol. 6, no. 2, pp. 67–84, Jul. 2019, doi: 10.31258/dli.6.2.p.67-84.
[10] S. . Andrianto, f., Bintoro, A., Yuwono, “Produksi Dan Laju Dekomposisi Serasah Mangrove (Rhizophora Sp.) Di Desa Durian Dan Desa Batu Menyan Kecamatan Padang Cermin Kabupaten Pesawaran,” Jurnal Sylva Lestari, vol. 3, no. 1, pp. 9–20, 2017.
[11] M. Rahardjo, “Peluang Pembudidayaan Tanaman Echinacea (Echinacea purpurea) di Indonesia,” Perspektif Review Penelitian Tanaman Industri, vol. 4, no. 1, pp. 1–10, 2015.
[12] L. Mufaidah, S. Suwasono, Y. Wibowo, and D. W. Soedibyo, “Peramalan Jumlah Permintaan Udang Beku PND Menggunakan Metode Jaringan Syaraf Tiruan (JST) Backpropagation,” Jurnal Agroteknologi, vol. 11, no. 01, pp. 17–22, 2017.
[13] Y. Andriani, H. Silitonga, and A. Wanto, “Analisis jaringan syaraf tiruan untuk prediksi volume ekspor dan impor migas di indonesia,” Register: Jurnal Ilmiah Teknologi Sistem Informasi, vol. 4, no. 1, pp. 30–40, 2018, doi: 10.26594/register.v4i1.1157.
[14] M. E. Al Rivan and G. R. Sung, “Identifikasi Mutu Buah Pepaya California (Carica Papaya L.) Menggunakan Metode Jaringan Syaraf Tiruan,” Jurnal Sisfokom (Sistem Informasi dan Komputer), vol. 10, no. 1, pp. 113–119, Apr. 2021, doi: 10.32736/sisfokom.v10i1.1105.
[15] 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, doi: 10.1088/1742-6596/1255/1/012013 Analysis.
[16] U. B. Pambudi, “Pemilihan Algoritma Pelatihan Backpropagation Yang Paling Optimal Berdasarkan Model Neuron 15-20-1 Dan 15-25-1 Ditinjau Dari Ketepatan Pengenalan Pola Data,” Universitas Muhammadiyah Purwokerto, 2019.
[17] N. L. W. S. R. Ginantra, A. D. GS, S. Andini, and A. Wanto, “Pemanfaatan Algoritma Fletcher-Reeves untuk Penentuan Model Prediksi Harga Nilai Ekspor Menurut Golongan SITC,” Building of Informatics, Technology and Science (BITS), vol. 3, no. 4, pp. 679–685, Mar. 2022, doi: 10.47065/bits.v3i4.1449.
[18] D. A. Nugroho et al., “Analisis Sentimen Data Presiden Jokowi Dengan Preprocessing Normalisasi Dan Stemming Menggunakan Metode Naive Bayes Dan SVM,” in Seminar Nasional Teknologi Fakultas Teknik Universitas Krisnadwipayana, 2021, vol. 3, no. 1, pp. 1–11.
[19] D. Rohpandi, A. Sugiharto, and G. A. Winara, “Aplikasi Pengolahan Citra Dalam Pengenalan Pola Huruf Ngalagena Menggunakan MATLAB,” in Konferensi Nasional Sistem & Informatika, 2015, pp. 772–777.
[20] D. A. Nasution, H. H. Khotimah, and N. Chamidah, “Perbandingan Normalisasi Data untuk Klasifikasi Wine Menggunakan Algoritma K-NN,” Computer Engineering, Science and System Journal, vol. 4, no. 1, pp. 78–82, Jan. 2019, doi: 10.24114/cess.v4i1.11458.
[21] I. Sahin and I. Koyuncu, “Design and Implementation of Neural Networks Neurons with RadBas, LogSig, and TanSig Activation Functions on FPGA,” Electronics and Electrical Engineering, vol. 120, no. 4, pp. 51–54, Apr. 2012, doi: 10.5755/j01.eee.120.4.1452.
[22] R. Schorling, “Research Department,” The Mathematics Teacher, vol. 15, no. 6, pp. 375–376, Oct. 1922, doi: 10.5951/MT.15.6.0375.
[23] I. Parinduri, “Model dan Simulasi Rangkaian RLC Menggunakan Output Simulink,” Journal of Science and Social Research, vol. 1, no. 1, pp. 42–47, 2018.
[24] R. Sinaga, M. Malemta Sitomorang, D. Setiawan, A. Wanto, and A. Perdana Windarto, “Akurasi Algoritma Fletcher-Reeves untuk Prediksi Ekspor Karet Remah Berdasarkan Negara Tujuan Utama,” Journal of Informatics Management and Information Technology, vol. 2, no. 3, pp. 91–99, 2022, doi: 10.47065/jimat.v2i3.170.
[2] R. Kusumaningtyas and I. Chofyan, “Pengelolaan Hutan Dalam Mengatasi Alih,” Perencanaan Wilayah dan Kota, vol. 13, no. 2, pp. 1–11, 2012.
[3] K. R. Indriana, R. A. Hadi, and D. Juliana, “Pengujian Unsur Hara Dan pH Tanah Sawah Melalui Metode PUTS (Perangkat Uji Tanah Sawah) Dikelompok Tani Medar Rahayu Desa Citaleus,” Tridarma, vol. 3, no. 1, pp. 129–135, 2020.
[4] P. T. Damayatanti, “Upaya Pelestarian Hutan melalui Pengelolaan Sumberdaya Hutan Bersama Masyarakat,” Komunitas: International Journal of Indonesian Society and Culture, vol. 3, no. 1, pp. 70–82, 2011.
[5] N. Harahab, “the Infuence of Mangrove Ecosystem As Their Role for Catching Productivity (Case Study in Pasuruan Residence, East Java),” Jurnal Perikanan Universitas Gadjah Mada, vol. 11, no. 1, pp. 100–106, 2009.
[6] U. Suwahyono, “Biokonversi Karbondioksida Untuk Bahan,” urnal Teknologi Lingkungan BPPT, vol. 9, no. 1, pp. 1–5, 2008.
[7] V. Marsongkhoe and T. Tantimin, “Analisis Yuridis Kejahatan Pembalakan Liar Di Kota Batam berdasarkan Undang-Undang Nomor 18 Tahun 2013 tentang Pencegahan dan Pemberantasan Pengrusakan Hutan,” Journal of Judicial Review, vol. 22, no. 1, pp. 128–138, 2020.
[8] M. Astiningrum, M. Z. Abdullah, and P. P. Sari, “Identifikasi Kualitas Terung Ungu berdasarkan Warna dan Tekstur menggunakan metode Jaringan Saraf Tiruan,” in Seminar Informatika Aplikatif Polinema, 2020, pp. 554–559.
[9] A. Yusuf, H. Hapsoh, S. H. Siregar, and D. R. Nurrochmat, “Analisis Kebakaran Hutan Dan Lahan Di Provinsi Riau,” Dinamika Lingkungan Indonesia, vol. 6, no. 2, pp. 67–84, Jul. 2019, doi: 10.31258/dli.6.2.p.67-84.
[10] S. . Andrianto, f., Bintoro, A., Yuwono, “Produksi Dan Laju Dekomposisi Serasah Mangrove (Rhizophora Sp.) Di Desa Durian Dan Desa Batu Menyan Kecamatan Padang Cermin Kabupaten Pesawaran,” Jurnal Sylva Lestari, vol. 3, no. 1, pp. 9–20, 2017.
[11] M. Rahardjo, “Peluang Pembudidayaan Tanaman Echinacea (Echinacea purpurea) di Indonesia,” Perspektif Review Penelitian Tanaman Industri, vol. 4, no. 1, pp. 1–10, 2015.
[12] L. Mufaidah, S. Suwasono, Y. Wibowo, and D. W. Soedibyo, “Peramalan Jumlah Permintaan Udang Beku PND Menggunakan Metode Jaringan Syaraf Tiruan (JST) Backpropagation,” Jurnal Agroteknologi, vol. 11, no. 01, pp. 17–22, 2017.
[13] Y. Andriani, H. Silitonga, and A. Wanto, “Analisis jaringan syaraf tiruan untuk prediksi volume ekspor dan impor migas di indonesia,” Register: Jurnal Ilmiah Teknologi Sistem Informasi, vol. 4, no. 1, pp. 30–40, 2018, doi: 10.26594/register.v4i1.1157.
[14] M. E. Al Rivan and G. R. Sung, “Identifikasi Mutu Buah Pepaya California (Carica Papaya L.) Menggunakan Metode Jaringan Syaraf Tiruan,” Jurnal Sisfokom (Sistem Informasi dan Komputer), vol. 10, no. 1, pp. 113–119, Apr. 2021, doi: 10.32736/sisfokom.v10i1.1105.
[15] 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, doi: 10.1088/1742-6596/1255/1/012013 Analysis.
[16] U. B. Pambudi, “Pemilihan Algoritma Pelatihan Backpropagation Yang Paling Optimal Berdasarkan Model Neuron 15-20-1 Dan 15-25-1 Ditinjau Dari Ketepatan Pengenalan Pola Data,” Universitas Muhammadiyah Purwokerto, 2019.
[17] N. L. W. S. R. Ginantra, A. D. GS, S. Andini, and A. Wanto, “Pemanfaatan Algoritma Fletcher-Reeves untuk Penentuan Model Prediksi Harga Nilai Ekspor Menurut Golongan SITC,” Building of Informatics, Technology and Science (BITS), vol. 3, no. 4, pp. 679–685, Mar. 2022, doi: 10.47065/bits.v3i4.1449.
[18] D. A. Nugroho et al., “Analisis Sentimen Data Presiden Jokowi Dengan Preprocessing Normalisasi Dan Stemming Menggunakan Metode Naive Bayes Dan SVM,” in Seminar Nasional Teknologi Fakultas Teknik Universitas Krisnadwipayana, 2021, vol. 3, no. 1, pp. 1–11.
[19] D. Rohpandi, A. Sugiharto, and G. A. Winara, “Aplikasi Pengolahan Citra Dalam Pengenalan Pola Huruf Ngalagena Menggunakan MATLAB,” in Konferensi Nasional Sistem & Informatika, 2015, pp. 772–777.
[20] D. A. Nasution, H. H. Khotimah, and N. Chamidah, “Perbandingan Normalisasi Data untuk Klasifikasi Wine Menggunakan Algoritma K-NN,” Computer Engineering, Science and System Journal, vol. 4, no. 1, pp. 78–82, Jan. 2019, doi: 10.24114/cess.v4i1.11458.
[21] I. Sahin and I. Koyuncu, “Design and Implementation of Neural Networks Neurons with RadBas, LogSig, and TanSig Activation Functions on FPGA,” Electronics and Electrical Engineering, vol. 120, no. 4, pp. 51–54, Apr. 2012, doi: 10.5755/j01.eee.120.4.1452.
[22] R. Schorling, “Research Department,” The Mathematics Teacher, vol. 15, no. 6, pp. 375–376, Oct. 1922, doi: 10.5951/MT.15.6.0375.
[23] I. Parinduri, “Model dan Simulasi Rangkaian RLC Menggunakan Output Simulink,” Journal of Science and Social Research, vol. 1, no. 1, pp. 42–47, 2018.
[24] R. Sinaga, M. Malemta Sitomorang, D. Setiawan, A. Wanto, and A. Perdana Windarto, “Akurasi Algoritma Fletcher-Reeves untuk Prediksi Ekspor Karet Remah Berdasarkan Negara Tujuan Utama,” Journal of Informatics Management and Information Technology, vol. 2, no. 3, pp. 91–99, 2022, doi: 10.47065/jimat.v2i3.170.
Published
2022-12-28
How to Cite
[1]
D. Ramahdhani and S. Solikhun, “The Implementation Of The Fletcher-Reeves Algorithm In Predicting The Growth Of Forest Plant Cultures”, International Journal of Engineering and Computer Science Applications (IJECSA), vol. 2, no. 1, pp. 23-30, Dec. 2022.
Section
Articles
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
