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Yuni Yulida
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Mathematics Department, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat University. Jl. A. Yani KM.35.8 Banjarbaru, Kalimantan Selatan
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INDONESIA
Epsilon: Jurnal Matematika Murni dan Terapan
Published by Universitas Lambung Mangkurat
ISSN : 19784422     EISSN : 26567660     DOI : http://dx.doi.org/10.20527
Core Subject : Science, Engineering,
Decision Sciences, Operations Research & Management Transportation
Jurnal Matematika Murni dan Terapan Epsilon is a mathematics journal which is devoted to research articles from all fields of pure and applied mathematics including 1. Mathematical Analysis 2. Applied Mathematics 3. Algebra 4. Statistics 5. Computational Mathematics
Arjuna Subject : Matematika - Matematika Terapan
Articles 6 Documents
 1 
Search results for , issue "Vol 14, No 1 (2020): JURNAL EPSILON VOLUME 14 NOMOR 1" : 6 Documents clear
SIFAT TURUNAN PADA ALJABAR LIE AFFINE BERDIMENSI 6 Edi Kurniadi
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 14, No 1 (2020): JURNAL EPSILON VOLUME 14 NOMOR 1
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.535 KB) | DOI: 10.20527/epsilon.v14i1.2198

Abstract

 In this paper we study that any derivation of affine Lie algebra of dimension 6, denoted by ,  is inner. We give another approach to prove it by direct computations of transformation matrix of derivation of . We show that transformation matrix for the derivation of any element in  equals to  transformation matrix of adjoint representation of its element. Furthermore, we  give an alternative to prove that  is Frobenius Lie algebra. Keywords :Affine Lie algebra, Derivation of a Lie algebra, Frobenius Lie algebra
ANTI SUBGRUP α-FUZZY Fiqriani Noor; Saman Abdurrahman; Naimah Hijriati
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 14, No 1 (2020): JURNAL EPSILON VOLUME 14 NOMOR 1
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (343.343 KB) | DOI: 10.20527/epsilon.v14i1.2199

Abstract

The concept of fuzzy subgroups is a combination of the group structure with the fuzzy set, which was first introduced by Rosenfeld (1971). This concept became the basic concept in other the fuzzy algebra fields such as fuzzy normal subgroups, anti fuzzy subgroups and anti fuzzy normal subgroups. The development in the area of fuzzy algebra is characterized by the continual emergence of new concepts, one of which is the α-anti fuzzy subgroup concept. The idea of α-anti fuzzy subgroups is a combination between the α-anti fuzzy subset and anti fuzzy subgroups. The α-anti subset fuzzy which is an anti fuzzy subgroup is called as α-anti fuzzy subgroup. The purpose of this study is to prove that the α-anti fuzzy subset is an anti fuzzy subgroup, examine the relationship between α-anti fuzzy subgroups with anti fuzzy subgroups and α-fuzzy normal subgroups with anti fuzzy subgroups. The results of this study are, if A is an anti fuzzy subgroup (an anti fuzzy normal subgroup), then an α-anti subset fuzzy of A is an anti fuzzy subgroup (an anti fuzzy normal subgroup). However, this does not apply otherwise. Furthermore, this study also provides sufficient and necessary conditions for an α-anti fuzzy subset of any group to be an α-anti fuzzy subgroup and the formation of a group of factors that are built from an α-anti fuzzy normal subgroup.Keywords : Anti Fuzzy Subgroup, Anti Fuzzy Normal Subgroup, α-Anti Fuzzy Subgroup and α-Anti Fuzzy Normal Subgroup.
PERHITUNGAN UKURAN RISIKO UNTUK MODEL KERUGIAN AGREGAT Nadya Pratiwi; Aprida Siska Lestia; Nur Salam
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 14, No 1 (2020): JURNAL EPSILON VOLUME 14 NOMOR 1
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (291.189 KB) | DOI: 10.20527/epsilon.v14i1.2200

Abstract

In the case of nonlife insurance, insurance companies are very potential to get losses if claims submitted by customers (policyholders) exceeds the reserves of budgeted claims. It is the risk that have to managed properly by insurance companies . One possible disadvantage is the aggregate loss model. The aggregate loss model is a random variable that states the total of all losses incurred in an insurance policy block. This kind of loss can be modeled using a collective risk approach where the number of claims is a discrete random variable and the size of claim is a continuous random variable. The purpose of this study is to determine risk measure of standard deviation premium principle, value at risk (VaR), and conditional tail expectation (CTE) of the aggregate loss model. Standard deviation premium principle risk measure of aggregate loss model is determined analytically by substituted it expected value and varians. Meanwhile, VaR risk measure is determined using numerical method by Monte Carlo method, then the quantile value and it confidence interval for the actual value will estimate. In the CTE calculation, based on the loss data obtained in the Monte Carlo method, the CTE value is estimated by calculating the average loss that exceeds the VaR value. If the data size is large enough, the CTE value estimation will converge to the actual value.Keywords: Aggregate Loss Model, Standard Deviation Premium Principle, Value at Risk (VaR), Conditional Tail Expectation (CTE).
MODEL OLIGOPOLI DENGAN FUNGSI HARGA DAN BIAYA YANG LINIER Muhammad Afief Balya; Yuni Yulida; Aprida Siska Lestia
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 14, No 1 (2020): JURNAL EPSILON VOLUME 14 NOMOR 1
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (260.016 KB) | DOI: 10.20527/epsilon.v14i1.2516

Abstract

Pasar merupakan tulang punggung perekonomian masyarakat, baik masyarakat dikalangan kelas bawah maupun kelas atas. Salah satu jenis pasar yaitu pasar oligopoli. Oligopoli menggambarkan suatu pasar dimana penawaran satu jenis barang dikuasai oleh beberapa perusahaan. Pada teori oligopoli terdapat beberapa model, salah satunya model Cournot. Tujuan dari penelitian ini adalah untuk menjelaskan terbentuknya model Cournot oligopoli dengan fungsi harga dan biaya yang linier, menentukan best response dari model Cournot oligopoli, menjelaskan terbentuknya model proses penyesuaian dinamis dengan fungsi harga dan biaya yang linier, serta menganalisa kestabilan proses penyesuaian dinamis dengan fungsi harga dan biaya yang linier. Pada penelitian ini digunakan fungsi penerimaan dan fungsi biaya yang diselisihkan untuk membentuk model Cournot oligopoli berupa fungsi keuntungan dan diturunkan satu kali untuk mencari titik kritis yang merupakan best response. Selanjutnya, proses penyesuaian dinamis muncul dengan menggunakan skema penyesuaian Cournot serta analisis kestabilan dengan menggunakan determinan matriks khusus dan polinomial karakteristik. Hasil dari penelitian ini didapatkan model Cournot oligopoli berupa fungsi keuntungan, terdapat tiga best response yang salah satunya menjadi titik ekuilibrium, muncul proses penyesuaian dinamis, dan titik ekuilibrium stabil asimtotik lokal.
PENYELESAIAN MODEL TRANSPORTASI MENGGUNAKAN METODE ASM Nurul Iftitah; Pardi Affandi; Akhmad Yusuf
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 14, No 1 (2020): JURNAL EPSILON VOLUME 14 NOMOR 1
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (370.05 KB) | DOI: 10.20527/epsilon.v14i1.3197

Abstract

Transportation problem is related by goods shipments from sources (supplies) to destination(demand). the method that could be used for solving the transportation problem is to directly find theoptimal solution. The direct method that used in this study id the ASM method for solving the balancetransportation problem and revised ASM method for solving the unbalance transportation problem.This study aims to construct a transportation model using those methods and it solution. The methodon this study is to identify the transportation model, construct the transportation model matrixes,construct an algorithm table using ASM method and to determine the optimal solution of thetransportation problem. The obtained result from this study was the model ASM method coulddetermine the optimum value without using initial feasible solution. On solving the unbalancetransportation problem, there is an addition of dummy cell or column step. Then reducing the cost ofcell and column and change the dummy cost with the biggest cost of reduced cell or column.
RELASI FUZZY PADA GRUP FAKTOR FUZZY Ahmad Madani; Saman Abdurrahman; Na'imah Hijriati
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 14, No 1 (2020): JURNAL EPSILON VOLUME 14 NOMOR 1
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (280.497 KB) | DOI: 10.20527/epsilon.v14i1.2394

Abstract

Fuzzy subsets on the non-empty set is a mapping of this set to the interval . The concept of fuzzy subgroups introduced from advanced concept of fuzzy set in group theory. In concept of fuzzy set there is the concept of relations is fuzzy relations. In this study examined that fuzzy relations related to the equivalence and congruence on a fuzzy group and fuzzy factor group. The results of this study was to show that a fuzzy relation    if  and    if  is a fuzzy congruence relations on fuzzy group and a fuzzy relation  defined of is a fuzzy congruence relations on fuzzy factor group.  

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