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INDONESIA
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
ISSN : 20851456     EISSN : 25500422     DOI : -
Core Subject : Education,
JMP is a an open access journal which publishes research articles, reviews, case studies, guest edited thematic issues and short communications/letters in all areas of mathematics, applied mathematics, applied commutative algebra and algebraic geometry, mathematical biology, physics and engineering, theoretical bioinformatics, experimental mathematics, theoretical computer science, numerical computation and applications of systems, partial differential and differential equations, integral and integral differential equations and mathematical modeling.
Articles 375 Documents
APLIKASI SISTEM INFERENSI FUZZY METODE TSUKAMOTO DALAM PENILAIAN MUTU BENIH PADI Diasta Risi Esa Annisa; Mutia Nur Estri
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 7 No 1 (2015): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2015.7.1.2896

Abstract

In this paper, we use the Fuzzy inference system of Tsukamoto method to determine the rice seeds quality. The input variables are production average, the age of plant, and fallen seeds, and the output variable is rice seed quality. The output is determined through 4 steps i.e. fuzzification, determine fuzzy rules, and defuzzification. The results show that the best quality of rice seed is IR 64 and the worst is Lusi.
PENGARUH PEMBELAJARAN CAI-KONTEKSTUAL TERHADAP KEMAMPUAN BERPIKIR MATEMATIK DAN KARAKTER MAHASISWA Nanang Nanang
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 9 No 1 (2017): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2017.9.1.2854

Abstract

The purpose of this study to determine the effect of CAI-Contextual learning of the ability to think mathematically and character of the student teacher participants of the course Capita Selecta Mathematical SMA. The population in this study is the fourth semester students of Mathematics Education STKIP Garut academic year 2015/2016. Selection of the sample by means of random sampling, the students obtained grade B as an experimental class and class A as the control class. Experimental class taught by CAI-Contextual learning, whereas the control class was taught by conventional learning. Retrieval of data obtained by the test method to get the data value of the initial knowledge of mathematics students and Mathematical Thinking Skills as well as the method of questionnaire to measure student character, and then analyzed with the average difference. The results showed that there are differences in the ability to think mathematically and character class students experiment with the control class. Since the average mathematical thinking skills and character students experimental class is bigger than the control class, it can be concluded that the CAI-Contextual learning positively affects the ability to think mathematically and character of the student teacher participants of the course Capita Selecta Mathematical SMA.
PENGARUH PARAMETER PENGONTROL DALAM MENEKAN PENYEBARAN PENYAKIT FLU BURUNG Rina Reorita; Niken Larasati; Renny Renny
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 3 No 1 (2011): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2011.3.1.2970

Abstract

Indonesia has been being a country which has the most victims of avian influenza case. Avian influenza is caused by influenza virus H5N1 type. This virus can be transmitted from infected poultry to susceptible poultry and infected poutry to susceptible human. This paper describes an SIR (Susceptible, Infection, Recovery) mathematic model for the spread of avian influenza disease. The basic reproduction number will be obtained for analyzing what are the factors that can influence the epidemic. By the Pontryagin Maximum Principle, it can be seen how is the influence of vaccine as a control to the spread of disease.
MODIFIKASI BARU ALGORITMA KOLONI LEBAH BUATAN UNTUK MASALAH OPTIMASI GLOBAL Nursyiva Irsalinda; sugiyarto Surono
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 10 No 1 (2018): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2018.10.1.2833

Abstract

Artificial Bee Colony (ABC) algorithm is one of metaheuristic optimization technique based on population. This algorithm mimicking honey bee swarm to find the best food source. ABC algorithm consist of four phases: initialization phase, employed bee phase, onlooker bee phase and scout bee phase. This study modify the onlooker bee phase in selection process to find the neighborhood food source. Not all food sources obtained are randomly sought the neighborhood as in ABC algorithm. Food sources are selected by comparing their objective function values. The food sources that have value lower than average value in that iteration will be chosen by onlooker bee to get the better food source. In this study the modification of this algorithm is called New Modification of Artificial Bee Colony Algorithm (MB-ABC). MB-ABC was applied to 4 Benchmark functions. The results show that MB-ABC algorithm better than ABC algorithm
FUZZY NEURAL NETWORK DENGAN NEURON FUZZYKWAN DAN CAI SERTA APLIKASINYA UNTUK EVALUASI KINERJA PERTAHANAN KLUB SEPAK BOLA Deri Januar; Mutia Nur Estri
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 5 No 1 (2013): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2013.5.1.2913

Abstract

In this paper, we discuss fuzzy neural network with neuron fuzzy Kwan dan Cai. The algorithm used in this fuzzy neural network is the feed forward algorithm. Futhermore, fuzzy neural network with neuron fuzzy Kwan and Cai can be applied to evaluate a defense performance of football clubs. In this application, we do calculation manually and using a program.
PENENTUAN MODEL TERBAIK REGRESI RIDGE DAN TERAPANNYA Sri Utami Zuliana
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 10 No 2 (2018): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2018.10.2.2843

Abstract

Ridge regression is one of penalized regression methods. Penalized regression methods are usually used for solving the problem of multicollinearity. The best model in ridge regression has been chosen by some previous techniques. In the techniques there is bias-variance trade-off. In this paper, Schall algorithm will be applied for choosing the best model. Schall algorithm is faster because it only needs a few iteratives to be convergence.
HUBUNGAN ANTARA NILAI KRITIS DERIVATIF- F^\alpha DENGAN DIMENSI-\gamma DARI SUATU KURVA Supriyadi Wibowo
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 4 No 1 (2012): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2012.4.1.2959

Abstract

Continue function that defined on fractal set is a function which has irregular structure, that can not be an ordinary differentiable on F. In this paper will be explored the correlation between critical point of the derivatif with dimension- of a curve. By using the properties of the derivative , Holder’s continue function in rank of and dimension , has been obtained the correlation between critical value of derivative and the dimension of a curve.
ESTIMASI DENSITAS KERNEL ADJUSTED: STUDI SIMULASI Novita Eka Chandra; Masriani Mahyuddin; Siti Alfiatur Rohmaniah
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 8 No 2 (2016): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2016.8.2.2885

Abstract

Kernel adjusted density estimation is a modification of the regular kernel density estimation. The modification is applied to a kernel function. This kernel function is derived from the location-scale transformation. Simulation study shows that this estimation have better results than the regular estimation because it has smaller MSE value. In addition, if normal kernel is used as a kernel function then the curve estimation will be smoother than other kernel function such as uniform kernel and Epachenikov kernel.
GARIS DI LAPANGAN HIMPUNAN BILANGAN BULAT MODULO 17 Denni Hariati Sinaga; Idha Sihwaningrum; Ari Wardayani
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 5 No 1 (2013): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2013.5.1.2911

Abstract

n this paper we discuss rational trigonometry in the field F17 ,in particular point, lines and their properties. A unique property in this field is given by the null lines.
IMPLEMENTASI METODE BOX-JENKINS UNTUK MEMPREDIKSI HARGA MINYAK DUNIA DAN PENGARUHNYA TERHADAP HARGA MINYAK INDONESIA Desty Rakhmawati; Eka Tripustikasari
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 9 No 2 (2017): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2017.9.2.2869

Abstract

Recently Indonesia's oil prices have declined despite oil consumption increases. The decline in Indonesia oil prices is affected by world oil prices. Therefore, the aim of this research is to predict WTI-type world oil price using Box-Jenkins method for non seasonal ARIMA modeling and how big does it influence to Indonesia oil price. WTI world oil price predictions for January to December 2017 are 54.17035, 54.89475, 55.12885, 55.20406, 55.22817, 55.23590, 55.23837, 55.23916, 55.23942, 55.23950, 55.23953, and 55.23953 dollars per barrels, respectively. Then the magnitude of the effect of WTI world oil prices to Indonesia oil prices is 1.735229 dollars per barrels.

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