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Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika
Published by Asosiasi Riset Ilmu Pendidikan Indonesia
ISSN : 30218144     EISSN : 30218136     DOI : 10.61132
Core Subject : Health, Education, Social,
Education Health Professions Languange, Linguistic, Communication & Media Mathematics Social Sciences
Jurnal ini adalah Jurnal Pendidikan bahasa dan Sastra yang bersifat peer-review dan terbuka. Bidang kajian dalam jurnal ini termasuk sub rumpun Ilmu Pendidikan Ilmu Sosial, Bahasa dan Sastra, Olahraga dan Kesehatan, Matematika dan MIPA, Teknologi dan Kejuruaan, Ilmu Pendidikan dan Kesenian.
Arjuna Subject : Ilmu Sosial - Linguistik dan Bahasa
Articles 22 Documents
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Search results for , issue "Vol. 1 No. 4 (2023): Agustus : Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika" : 22 Documents clear
Penyelesaian Numerik Model Pemangsa-Mangsa dengan Metode Jaringan Fungsi Radial Basis Menggunakan Trigonometric Shape Parameter Muhammad Thahiruddin; Mohammad Jamhuri
Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Vol. 1 No. 4 (2023): Agustus : Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/arjuna.v1i4.135

Abstract

One mathematical model in the form of a system of nonlinear ordinary differential equations is the predator-prey model. The predator-prey model explains population changes of one prey population and one predator population due to changes in time. The radial basis function network method is used to find a numerical solution to the predator-prey model. The radial basis function network method can directly approximate the function and derivative of the prey-prey model using a basis function. The basis function used is a multiquadric basis function. Numerical solutions using the radial basis function network method obtained from this research show high accuracy and low error. The absolute error obtained from the two simulations with Δt = 0.01 each is 0.0066 in the first simulation and 0.022 in the second simulation. The errors obtained are relatively small because each only represents 0.66% of the initial value of the first type and 0.5% of the initial value of the second type. This shows that the radial basis function network method is efficient in calculating the predator-prey model solution.
Prediksi Produksi Padi di Kabupaten Sumenep Menggunakan Metode Single Exponential Smoothing Amaliyatul Hasanah
Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Vol. 1 No. 4 (2023): Agustus : Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/arjuna.v1i4.136

Abstract

Rice is a source of carbohydrates which is the staple food of Indonesian people. The increase in human population means that Indonesia has to import rice from abroad to meet national food needs. Domestic rice production is not the same every year and with the conversion of agricultural land into industrial and residential areas, rice productivity has decreased. Sumenep Regency is one of the rice food production areas which is not the same every year, so forecasting is necessary to predict rice production in Sumenep Regency. Rice production forecasting can be used as a reference for increasing rice production in Sumenep district. The method used to forecast rice production in Sumenep district is the Single Exponential Smoothing method. The data used is rice production data in Sumenep district in 2005-2022. The results of forecasting rice production in Sumenep district obtained forecasts for rice production in 2023 of 203132.55 tonnes with a MAPE value of 11.243% with α=0.3.

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