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All Journal Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Building of Informatics, Technology and Science Best Journal (Biology Education, Sains and Technology) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)
Batubara, Lokot Ridwan
Universitas Asahan
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Education Immunology & microbiology Public Health

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Prediksi Hasil Produksi Tanaman Tomat di Indonesia Menurut Provinsi Menggunakan Algoritma Fletcher-Reeves Fajri, Surya; Gunawan, Heru; Batubara, Lokot Ridwan; Sitorus, Zunaida
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2704

Abstract

Tomatoes are essential for Indonesians because they have high economic and nutritional value. In addition, as population growth increases, the demand for tomatoes also increases. Based on this, it is essential to research to predict the future development of tomato crop production. The research in this paper uses a dataset of tomato plant production in Indonesia, which is spread across 34 provinces in the last seven years, namely from 2015 to 2021), which is sourced from the Indonesian Central Bureau of Statistics and the District/City Agriculture Service of each Province. The algorithm proposed in this study is the Fletcher-Reeves Conjugate Gradient Algorithm which will be processed with the help of Matlab2011b. Research analysis with three network architectural models: 5-7-1, 5-13-1, and 5-17-1. Based on a network comparison of the three architectural models, the best result is the 5-17-1 model because the MSE value is the smallest compared to the other two models, namely 0.0009915 compared to 0.0010851 and 0.0049764, as well as the highest level of accuracy, namely by 94% versus 91% and 88%. Therefore the 5-17-1 model is used to predict the yield of tomato production in Indonesia for the future (2022 and 2023). Based on the prediction results at the end of 2022 and 2023, there are 18 provinces where tomato crop production has the potential to increase, although not too significantly. The prediction of tomato production using the Fletcher-Reeves algorithm is quite good because it produces a small error rate and high accuracy.
Kajian Pertanian Indonesia: Estimasi Perkembangan Ekspor Kopi Menggunakan Algoritma Fletcher-Reeves Safruddin, S; Efendi, Elfin; Batubara, Lokot Ridwan; Purba, Deddy Wahyudin; Hardinata, Jaya Tata
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.760

Abstract

Research on coffee exports to main destination countries is important because it provides an in-depth understanding of the markets that are the main focus. This allows governments and businesses to allocate resources efficiently and design appropriate marketing strategies. In addition, this research provides a strong basis for the government in formulating coffee export policies. By monitoring the development of coffee exports to main destination countries, Indonesia can be better prepared to face changes in global market demand and take appropriate steps in responding to market dynamics. . This research will use the Conjugate Gradient Fletcher-Reeves algorithm, which is one of the algorithms of Artificial Neural Networks. The research was analyzed using 3 architectural models, including: 5-5-1, 5-10-1, and 5-15-1. As a result, the 5-5-1 model was selected as the best model, with the highest accuracy of 94% and the lowest MSE of 0.00500142. Higher than the accuracy of the 5-10-1 model which is only 83% with MSE 0.05058359, and 78% accuracy with MSE 0.01975643 on the 5-15-1 model. Based on the estimation results regarding the development of coffee exports according to main destination countries using the 5-5-1 model, the conclusion that can be drawn is that there will likely be a decline in the level of coffee exports to main destination countries in 2024.
Kajian Pertanian Indonesia: Estimasi Perkembangan Ekspor Kopi Menggunakan Algoritma Fletcher-Reeves Safruddin, S; Efendi, Elfin; Batubara, Lokot Ridwan; Purba, Deddy Wahyudin; Hardinata, Jaya Tata
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.760

Abstract

Research on coffee exports to main destination countries is important because it provides an in-depth understanding of the markets that are the main focus. This allows governments and businesses to allocate resources efficiently and design appropriate marketing strategies. In addition, this research provides a strong basis for the government in formulating coffee export policies. By monitoring the development of coffee exports to main destination countries, Indonesia can be better prepared to face changes in global market demand and take appropriate steps in responding to market dynamics. . This research will use the Conjugate Gradient Fletcher-Reeves algorithm, which is one of the algorithms of Artificial Neural Networks. The research was analyzed using 3 architectural models, including: 5-5-1, 5-10-1, and 5-15-1. As a result, the 5-5-1 model was selected as the best model, with the highest accuracy of 94% and the lowest MSE of 0.00500142. Higher than the accuracy of the 5-10-1 model which is only 83% with MSE 0.05058359, and 78% accuracy with MSE 0.01975643 on the 5-15-1 model. Based on the estimation results regarding the development of coffee exports according to main destination countries using the 5-5-1 model, the conclusion that can be drawn is that there will likely be a decline in the level of coffee exports to main destination countries in 2024.
PENGARUH INTENSITAS CAHAYA DAN PUPUK KANDANG SAPI TERHADAP PERTUMBUHAN KACANG TANAH (Arachis Hypogea L) Purba, Deddy Wahyudin; Fajri, Surya; Darmansyah, Dwi Bhakri; Batubara, Lokot Ridwan
BEST Journal (Biology Education, Sains and Technology) Vol 7, No 1 (2024): Juni 2024
Publisher : Program Studi Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/best.v7i1.9002

Abstract

Penelitian ini dilaksanakan di Kebun Percobaan Fakultas Pertanian Universitas Asahan, Kelurahan Kisaran Naga, Kecamatan Kisaran Timur, Kabupaten Asahan, Provinsi Sumatera Utara dengan topografi ketinggian 23 mdpl dengan suhu sekitar 20oC-30oC dan kelembaban mencapai 90%. penelitian ini dilaksanakan Januari sampai April 2022. Penelitian ini disusun berdasarkan Rancangan Acak Kelompok (RAK) faktorial dengan 2 faktor perlakuan dan 3 ulangan. Faktor pertama adalah perlakuan Intensitas Cahaya (I) dengan 3 taraf yaitu I1 = 75% intensitas cahaya, I2 = 50% intensitas cahaya, I3 = 25% intensitas cahaya. Faktor kedua adalah perlakuan Pupuk Kandang Sapi (S) dengan 4 taraf yaitu S0 = 0 ton/ha Pupuk Kandang Sapi (kontrol), S1 = 5 ton/ha Pupuk Kandang Sapi (0,5 kg/plot), S2 = 10 ton/ha Pupuk Kandang Sapi
Co-Authors Darmansyah, Dwi Bhakri Deddy Wahyudin Purba Efendi, Elfin Fajri, Surya Gunawan, Heru Jaya Tata Hardinata Safruddin, S Sitorus, Zunaida