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Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam
Published by Universitas Riau
ISSN : -     EISSN : -     DOI : -
Core Subject : Education,
Mathematics
Arjuna Subject : -
Articles 424 Documents
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MENDESAIN KERANGKA TEMPAT TIDUR GANDA DENGAN MENGGUNAKAN KONSEP MATEMATIKA M. Husna; L. Deswita; A. Sirait
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

This article discusses how to design a double bed frame with standard-size material in the market using elementary mathematical concepts. Firstly, the double bed frame is designed, and then the frame is covered with plywood base material. To savea plywood base material and produce a stable bed frame, elementary mathematical concepts such as triangles congruent, Pythagoras theorem, quadratic equations, differential implicit, and the binomial theorem are used.
METODE ITERASI TIGA LANGKAH DENGAN KEKONVERGENAN BERORDE ENAM BELAS Ricko Saputra; Supriadi Putra; Agusni '
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

This article discusses a new method for finding roots of nonlinear equations. The  process of forming the new method is derived from combining Newton’s method and King’s method with b= -0.5. Error analysis performed on the new method shows that it has a convergence of order sixteen. Numerical examples are compared to Newton’s method, King’s method, and the new method.
DIAGRAM DARI PRESENTASI SEMIGRUP 〈"a,b | " "a" ^"3" "=a," "b" ^"3" "=b,a" "b" ^"2" "=b" "a" ^"2" 〉 dan 〈"a,b | " "a" ^"5" "=a," "b" ^"5" "=b,a" "b" ^"2" "=b" "a" ^"2" 〉 Wellya Aziz; Sri Gemawati; Asli Sirait
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

In this article we discuss the diagram forms of semigroup presentations    and . The discussion starts with the word-word outlines of semigroup presentations  and . Then it is proceeded to make a diagram of word-word description obtained. All of characteristics are expressed in the form of a semigroup diagram theorem. The discussion in this article refers to Guba, V.  & M. Sapir.  1996.  Diagram Groups and Robertson, E. F. & Y. Unlu. 1992. Proceedings of the Edinburgh Mathematical Society 36: 55 – 68.
KOMBINASI PENAKSIR RASIO-PRODUK EKSPONENSIAL UNTUK RATA-RATA POPULASI MENGGUNAKAN PROPORSI PADA SAMPLING GANDA Nike Syelfina; Arisman Adnan; Sigit Sugiarto
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

The estimators discussed in this paper are the exponential ratio estimator, the  exponential product estimator and the combination of exponential product and exponential ratio estimator on double sampling using proportion which is a review of the article written by Singh et. al. [Pakistan Journal of Statistics and Operations Research, 1(2): 18-32]. The three proposed estimators are biased. Hence, their mean square errors (MSE) are evaluated. Furthermore, the MSE are compared to obtain the most efficient one. Combination of exponential product and exponential ratio estimator on double sampling using proportion is the most efficient estimator among the other estimators.
PENYUSUNAN JADWAL PETUGAS SEKURITI DENGAN PROGRAM GOL Marbun, Herlina; Lily, Endang; Gamal, M. D. H.
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

This article discusses a goal programming technique for security rostering. The goal programming used is the weighted or non-preemptive. This technique is implemented to solve a case study in a real life problem of security rostering in a construction company. The results of computation with LINGO show that security rostering by goal programming is better than manual rostering.
PENAKSIR PRODUK YANG EFISIEN UNTUK RATA-RATA POPULASI PADA SAMPLING ACAK BERSTRATA MENGGUNAKAN BEBERAPA PARAMETER Icha Yulia; Arisman Adnan; Haposan Sirait
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

This article is a review of the study conducted by Kadilar [Journal of Statistical Planning and Inference, 139:2552-2558]. This article introduces three product estimators for the population mean in stratified random sampling using coefficient of variation, standard deviation, and coefficient of kurtosis. These estimators are biasedestimators.  Then, the mean square errors of each estimator are compared for showing which one is the most efficient estimator. An example is given at the end of the discussion.
MENENTUKAN PERPANGKATAN MATRIKS TANPA MENGGUNAKAN EIGENVALUE Rini Pratiwi; Rolan Pane; Asli Sirait
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

This paper discusses an algorithm to determine the power of a square matrix, A , without computing its eigenvalues.  The algorithm can be used to compute  An, for each real number n  which is greater or equal to two.
PENAKSIR RASIO REGRESI YANG EFISIEN UNTUK RATA-RATA POPULASI PADA SAMPLING ACAK SEDERHANA MENGGUNAKAN DUA KARAKTER TAMBAHAN Rizki Wulandari; Rustam Efendi; Haposan Sirait
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

Three regression ratio estimators are used to estimate the population mean Y under simple random sampling.  Using two auxiliary variables X and Z, it should be conditioned that there is high correlation between Y and X, Y and Z, whereas there mayor may not be any correlation between X dan Z.  These estimators are recommended by Singh, Upadhyaya and Premchandra [5] which is a review of the article “An Improved Version of Regression Ratio Estimator with Two Auxiliary Variables in Sample Surveys.”  All estimators are biased. The efficient estimator is one with the least Mean Square Error (MSE), determined by comparing each type of estimator.
CADANGAN PREMI DENGAN METODE CANADIAN PADA ASURANSI JIWA BERJANGKA Ike Ruliysmawati Khoirunnisa; Hasriati '; Harison '
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

This article discusses the prospective reserve of term life insurance of the Canadian method. The method gives the extend of modified period over the entire premium payment period. Term life insurance reserve calculation is solved by determination of the single premium, annual premium, and annuity based on the assumption of constant force in advance. 
PENGGUNAAN PEMBOBOTAN MODEL BLACK-LITTERMAN DALAM MENENTUKAN VALUE AT RISK PADA PORTOFOLIO INVESTASI Eka Swastika AP; Johannes Kho; Rolan PanePENGGUNAAN PEMBOBOTAN MODEL BLACK-LITTERMAN DALAM MENENTUKAN VALUE AT RISK PADA PORTOF
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

This paper discusses the use of the Black-Litterman weighting in determining the value at risk in the investment portfolio. Black-Litterman model obtained through sampling theory approach is used to determine the weight of each portfolio asset. Based on theweight of assets of the Black-Litterman obtained standard deviation Black-Litterman portfolio is used in the calculation of Value at Risk in the Black-Litterman portfolio.

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