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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 12 Documents
Search results for , issue "Vol 10 No 1 (2018): Jurnal Ilmiah Matematika dan Pendidikan Matematika" : 12 Documents clear
THE ANALYSIS OF MULTIDIMENSIONAL ANOMALOUS DIFFUSION EQUATION Bambang Hendriya Guswanto
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.2018.10.1.2838

Abstract

We discuss the properties of the fundamental solution of multidimensional anomalous diffusion equation such as symmetric, decay, nonnegative, normality, and bounded in mathematical analysis approach.
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
PENENTUAN KRITERIA PENGHENTIAN ITERASI PADA ALGORITMA STROBERI Mutia Nur Estri; Siti Rahmah Nurshiami; Rina Reorita; Muhammad Okky Ibrohim
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.2018.10.1.2834

Abstract

This paper discusses the application of two types of stopping criterion on the strawberry algorithm, which are stopping criteria based on iterative error and Cauchy criterion. Furthermore, the strawberry algorithm program is simulated on the optimization problem with the objective function is quadratic function. The simulation results on optimization problem with the objective function is quadratic function show that strawberry algorithm with stopping criterion based on Cauchy criterion has the best performance, when compared with stopping criterion based on iterative error and without stopping criterion
REKOMBINASI MOLEKUL DNA Isah Aisah; Litani Farin; Hendra Mulyana
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.2018.10.1.2836

Abstract

Every living creature has unique genetic materials. These genetic materials are stored in a DNA molecule. In some cases, it is founda change in a normal DNA molecule into an abnormal one. Recombining DNA molecule is one way to solve this problem. In mathematical view, splicing system is a mathematical model of a system of a restriction enzyme’s action in recombining DNA molecule. Splicing language is a language constructed by splicing system.Result obtained from double-chained DNA molecule recombination process using uniform splicing system and uniform splicing language is a various language, which is depend on: (1) how we determine which DNA molecule that contains donor’s and recipient’s gen and (2) how we choose involved restriction enzyme. Apart from that, DNA molecule recombination can only be done on DNA molecule which has a DNA molecule’s partition a restriction enzyme could identify.
ALGORITMA FUZZY GOAL PROGRAMMING UNTUK MASALAH PEMROGRAMAN BILEVEL MULTIOBJEKTIF Syarifah Inayati
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.2018.10.1.2829

Abstract

Bilevel multiobjective programming problems are mathematical programming that solves the problem of planning with two decision makers (DM) in two level or hierarchical organization with the objective function of each organization can be more than one. In this paper, we discussed the special case of this problem with single decision maker at the upper level and multiple decision makers at the lower level. This problem can be solved using fuzzy goal programming (FGP) approach. In this approach, the membership function for the defined fuzzy goals of all objective functions of DMs at the two levels was developed first in the model formulation of the problem. Thus the membership function for vector of fuzzy goals of the decision variables controlled by the leader. Then FGP approach requires the leader to set goals for each objective that he/she wishes to attain. A preferred solution is then defined for minimizes the deviations from the set of goals. Numerical example is provided to illustrate the approach.
ANALISIS ANTRIAN SINGLE CHANNEL SINGLE SERVER DENGAN LAYANAN BERKELOMPOK PADA KONEKSI INTERNET DI UNIVERSITAS ISLAM INDONESIA Karina Noraprilia; Atina Ahdika
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.2018.10.1.2837

Abstract

Internet is very important to support students in getting knowledge. However, internet access in college is sometimes not proportional to the number of users. Current speed of wireless network connection in Universitas Islam Indonesia (UII), named UIIAccess, is also not proportional to the number of users. Based on these problems, this research was conducted to study UIIAccess performance in providing internet service. The analysis used is single channel single server queuing model with bulk service. The result shows that traffic intensity of the system is 0.9694 indicating that the intensity of UIIAccess service is very solid. The queue performance shows that the average number of users in the system and waiting in the queue are respectively 32 and 11 users per minute, the average time spent by a user in the system and in the queue are consecutively 10.45574 and 3.63663 minutes. It indicates that the queue on UIIAccess is very crowded because of the imbalance between access speed and the number of users
ALGORITMA FUZZY GOAL PROGRAMMING UNTUK MASALAH PEMROGRAMAN BILEVEL MULTIOBJEKTIF Syarifah Inayati
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 10 No 1 (2018): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2018.10.1.2829

Abstract

Bilevel multiobjective programming problems are mathematical programming that solves the problem of planning with two decision makers (DM) in two level or hierarchical organization with the objective function of each organization can be more than one. In this paper, we discussed the special case of this problem with single decision maker at the upper level and multiple decision makers at the lower level. This problem can be solved using fuzzy goal programming (FGP) approach. In this approach, the membership function for the defined fuzzy goals of all objective functions of DMs at the two levels was developed first in the model formulation of the problem. Thus the membership function for vector of fuzzy goals of the decision variables controlled by the leader. Then FGP approach requires the leader to set goals for each objective that he/she wishes to attain. A preferred solution is then defined for minimizes the deviations from the set of goals. Numerical example is provided to illustrate the approach.
MODIFIKASI BARU ALGORITMA KOLONI LEBAH BUATAN UNTUK MASALAH OPTIMASI GLOBAL Nursyiva Irsalinda; sugiyarto Surono
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 10 No 1 (2018): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : 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
PENENTUAN KRITERIA PENGHENTIAN ITERASI PADA ALGORITMA STROBERI Mutia Nur Estri; Siti Rahmah Nurshiami; Rina Reorita; Muhammad Okky Ibrohim
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 10 No 1 (2018): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2018.10.1.2834

Abstract

This paper discusses the application of two types of stopping criterion on the strawberry algorithm, which are stopping criteria based on iterative error and Cauchy criterion. Furthermore, the strawberry algorithm program is simulated on the optimization problem with the objective function is quadratic function. The simulation results on optimization problem with the objective function is quadratic function show that strawberry algorithm with stopping criterion based on Cauchy criterion has the best performance, when compared with stopping criterion based on iterative error and without stopping criterion
REKOMBINASI MOLEKUL DNA Isah Aisah; Litani Farin; Hendra Mulyana
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 10 No 1 (2018): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2018.10.1.2836

Abstract

Every living creature has unique genetic materials. These genetic materials are stored in a DNA molecule. In some cases, it is founda change in a normal DNA molecule into an abnormal one. Recombining DNA molecule is one way to solve this problem. In mathematical view, splicing system is a mathematical model of a system of a restriction enzyme’s action in recombining DNA molecule. Splicing language is a language constructed by splicing system.Result obtained from double-chained DNA molecule recombination process using uniform splicing system and uniform splicing language is a various language, which is depend on: (1) how we determine which DNA molecule that contains donor’s and recipient’s gen and (2) how we choose involved restriction enzyme. Apart from that, DNA molecule recombination can only be done on DNA molecule which has a DNA molecule’s partition a restriction enzyme could identify.

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