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Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Published by Universitas Jenderal Soedirman
ISSN : 20851456     EISSN : 25500422     DOI : -
Core Subject : Education,
Mathematics
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.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 375 Documents
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MATRIKS KOVARIANSI DALAM REGRESI NONPARAMETRIK MULTIRESPON PADA KASUS KORELASI SAMA DAN KORELASI TIDAK SAMA Budi Lestari; I Nyoman Budiantara; Sony Sunaryo; Muhammad Mashuri
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.2012.4.1.2950

Abstract

In the real cases, we are frequently faced the problem in which two or more dependent variables are observed at several values of the independent variables, such as at multiple time points. Multi-response nonparametric regression model, especially smoothing spline model, provides powerful tools to model the function which represents association of among the variables. The problem is how to estimate nonparametric regression curve of the multi-response nonparametric regression model. The nonparametric regression curve can be estimated using spline estimator approach, that is by carrying out penalized weighted least-squares optimation. Therefore, we need a covariance matrix which will be used as a weight of the optimation. In this paper, we determine the construction of covariance matrix for both equal and unequal of correlations cases. The results show that the covariance matrices have quite similar construction of diagonal elements but the elements outside the diagonal have very different construction that depend on the construction of the Jordan matrix.
MODEL-DRIVEN DEVELOPMENT : FASE AWAL VERIFIKASI MODEL DESIGN REKAM MEDIS ELEKTRONIS MENGGUNAKAN PERUMUSAN GRAF LENGKAP Acep Taryana; Bangun Wijayanto; Naoyasu Ubayashi; Joko Setyono
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 6 No 2 (2014): 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.2014.6.2.2904

Abstract

In this paper will be shown a graph formulation as a formal approaches in research Model-Driven Development (MDD) with a case study : the development of Electronic Medical Record (RME) on the scope of the public health center. The model was designed using UML notation and be selected a State Machine diagram that represents prerequisite user needs (requirements). Before the model is derived (driven) into the skeleton code, the accuracy of the state machine must be verified. In order for the State Machine can be verified by formal approach, the State Machine should be first transformed into a propositional formula using the complete graph approach, and partial models. The initial phase of verification will check the suitability of the model with the requirements in Propositional Normal Form (PNF) using SAT Solver, respectively as and . SAT solver will provide a design decision, whether a requirement represented in the model or not. If these requirements are not hold in the model, the requirement is not certainty (uncertain) and model must be redesigned.
PEMETAAN KONTRAKTIF LEMAH MULTIVALUED DI RUANG METRIK PARSIAL Sagita Charolina Sihombing; Ety Septiati
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.2017.9.2.2861

Abstract

In this paper, we study the existence of fixed point of the φ-weak contraction mapping in the complete partial metric space for multivalued mapping. Distance calculations are performed using Hausdorff metric. The result obtained in this paper is an extension of similar result for single valued mapping.
PEMILIHAN PARAMETER PENGHALUS PADA ESTIMATOR DERET FOURIER DALAM REGRESI NONPARAMETRIK Agustini Tripena Br. Sb.
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 1 No 2 (2009): 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.2009.1.2.2977

Abstract

EKSISTENSI SELEKTOR TERUKUR PADA FUNGSI BERNILAI HIMPUNAN DI DALAM RUANG BANACH TAK SEPARABEL Mohamad Muslikh
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.2012.4.1.2941

Abstract

In the Kuratowski-Ryll Nardzewski theorem, measurable selector of the set-valued functions exist if the value of set-valued function is a subset of a separable Banach spaces. In this article show that the set-valued function has a measurable selector in non separable Banach spaces.
PEMBUATAN APLIKASI PRAKTIS DESAIN BLOK ACAK LENGKAP MENGGUNAKAN BAHASA PEMROGRAMAN LAZARUS Budhi Handoko; Yeny Krista Franty; Gumgum Darmawan
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.2017.9.1.2852

Abstract

Completely Randomized Block Design is one type of design experiments in Statistics which is used to conduct experiment involving treatments and blocks. Blocking is used to make experimental unit become homogen in each blok. Analysis to the reults of the experiment using the design usually perform using licensed software such as SPSS or Minitab. In order to use those softwares, we have to buy the license. In addition, if use them, we have to arrange the data into column form which require knowledge about orthogonality principle. This research will develop an application to analyze the experimental data easily, because the input in the form of table that suitable with experimental data format. In this research we used Lazarus Visual Programming which is one of open source software. The result of this research is a practical application that can be used to analyze experimental result produced using completely randomized block design which is bery easy to use. Experimental data from table of experimental result can be directly copied into the cells of the program thus data entry can be fastened. This program is an executable file (*.exe) so it is not necessary to be installed and the size of file is small enough which is 19 megabyte.
SEMI MODUL POLINOMIAL FUZZY ATAS ALJABAR MAX-PLUS FUZZY Ari Wardayani; Suroto Suroto
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.2011.3.1.2968

Abstract

In this paper, we discuss the extension of fuzzy max-plus algebra on polynomial with coefficient in fuzzy number. We also proof that fuzzy polynomial is semi modul over fuzzy max-plus algebra.
REGRESI NONPARAMETRIK KERNEL ADJUSTED Novita Eka Chandra; Sri Haryatmi; Zulaela Zulaela
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.2015.7.1.2894

Abstract

Nadaraya Watson's kernel adjusted regression estimator is an estimator whose kernel is taken from the family of scale-location associated with the classical kernel density estimator. Based on these estimator, it can be obtained optimal bandwith and scale parameter. This estimator gives a better estimation results compared with Naradaya Watson's classical kernel regression estimator. This is proven by the small grade MSE which is given by this estimator.
ANALISIS KOMPARASI PRESTASI BELAJAR DITINJAU DARI MINAT BELAJAR DAN IPK PADA MATA KULIAH STATISTIKA Herlina Herlina
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.2016.8.2.2883

Abstract

The purpose of this study is to know the difference of the average of students learning achievement in the subject of Statistics in views of student learning interest and students cumulative achhievement index (IPK) and also to know the interaction between students learning interests and IPK. The population of this research are 209 students with the sample size is 146. The data in this research are analyzed using the tests of model assumptions : a normality test in eleven times, a homogeneity test in seven times, and an analysis of variance (ANOVA) using SPSS data processor. The results of this study is that there is a difference of the average of students learning achievement between high, medium and low learning interests with sig 0,03 <0,05, that between IPK <3,00 and IPK≥3,00 with sig 0,000<0,05, and there is no interaction between learning interest and IPK with sig 0,936> 0,05.
OPTIMASI PROSES PENGERINGAN KOPI DI PABRIK KOPI PTPN XII GUMITIR DENGAN MENGGUNAKAN MASON DRYER Rusli Hidayat; Firdaus Ubaidillah; Hadi Siswanto
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.2018.10.2.2841

Abstract

Coffee Processing Plant of the PTPN XII Gumitir is a coffee drying factory that was built in 1910 using a giant barch dryer called Mason Dryer as many as four units, each of which has a capacity of 20 tons, so factory is capable of processing 80 tons for a single simultaneous process. The ambient temperature used is 120oC with a residency time of 18 hours and desirable level of reduction in water content of 9%. To optimize the process, a mathematical model of the process is needed to predict energy use, heat distribution (heat profile in coffe beans) and residency time (heat penetration time required by coffee beans). Existing process models are still limited to models for drying the coffe beans. To optimize the process, a heat transfer temperature from ambient temperature (heating temperature) is neededto enter the Mason Dryer which function as the ambient temperature of the coffee beans at each location/ position of the coffee beans in Mason Dryer. With the discoveryof the model for ambient temperaturewill complement the existing model.

Page 12 of 38 | Total Record : 375

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