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Unnes Journal of Mathematics
Published by Universitas Negeri Semarang
ISSN : 22526943     EISSN : 24605859     DOI : https://doi.org/10.15294/ujm
Core Subject : Education,
Mathematics
Unnes Journal of Mathematics (UJM) publishes research issues on mathematics and its apllication. The UJM processes manuscripts resulted from a research in mathematics and its application scope, which includes. The scopes include research in: 1. Algebra 2. Analysis 3. Discrete Mathematics and Graph Theory 3. Differential Equation 4. Geometry 5. Mathematics Computation, 6. Statistics.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 11 Documents
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Search results for , issue "Vol 5 No 2 (2016)" : 11 Documents clear
MODEL EPIDEMI SEIV PENYEBARAN PENYAKIT POLIO PADA POPULASI TAK KONSTAN Umam, Yanuar Chaerul; Kharis, Muhammad; Supriyono, Supriyono
Unnes Journal of Mathematics Vol 5 No 2 (2016)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v5i2.13117

Abstract

Polio (Poliomyelitis) is a highly contagious disease caused by the polio virus from the genus Enterovirus and family Picorna Viridae. Polio considered dangerous because it can lead to complications, brain damage that causes paralysis of the internal organs, paralysis in the legs, muscles and even death. In this paper,it will be studied mathematical models for the spread of polio that does not cause the death. The mathematical model that is used in this paper is SEIV epidemis models with the recruitmen - death. The analysis includes the determination of the equilibrium point and the associated stability analysis of the equilibrium point. Simulation models are given as a form of approach are the values of the parameters are given as a check on the results of analyzes performed. Vaccination is done can affect the spread of measles in the population
APLIKASI MOBILE LEARNING BERBASIS ANDROID Wibowo, Eric Adie; Arifudin, Riza
Unnes Journal of Mathematics Vol 5 No 2 (2016)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v5i2.13119

Abstract

The purpose of this article is to design and implement mobile learning applications based on Android at SMAN 5 Semarang. Applications developed using prototype method, the process of software development activities include the design needs analysis, implementation, and testing. Applications created with features that include viewing the content, news, download materials, assignments, and grades. Testing was conducted using Blackbox test and testing by the user. The final results reveal that the application can be implemented properly in android device with type mobile phones and tablets that have a version of 2.3 Gingerbread to 4.3 Jelly Bean with a variety of screen sizes
PERBANDINGAN TAKSIRAN VALUE AT RISK DENGAN PROGRAM R DAN MATLAB ANALISIS INVESTASI SAHAM MENGGUNAKAN METODE GARCH Sari, Fenny Tunjung; Mariani, Scolastika
Unnes Journal of Mathematics Vol 5 No 2 (2016)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v5i2.13120

Abstract

Value at Risk (VaR) became a popular statistical method used to measure the risk investing. When estimating it require forecasting volatility. One of methods for modeling the heteroscedastic volatility called Generalized Autoregressive Conditional Heteroscedasticity (GARCH). The goal of this research are compare the result estimated it, by R program and MATLAB program, and then comparing accuracy of them. This research used data index March 4, 2013 to October 1, 2014. The result show that the forecasting it with probability 95% and 15-days horizon on R program is -0,2224606 then MATLAB program is -0,215263. While the result of calculation Mean Square Error (MSE) respectively R and MATLAB programs are 0,0003623 and 0,0003609. MATLAB program is the best level of accuracy in forecasting variansi. They have been modeling the volatility of LQ45 stock index to estimate it, using GARCH(1,1) model
ANALISIS KESTABILAN TITIK KESETIMBANGAN MODEL MATEMATIKA PROSES TRANSMISI VIRUS DENGUE DI DALAM TUBUH MANUSIA DENGAN TERAPI OBAT HERBAL Juliah, Intan; Supriyono, Supriyono
Unnes Journal of Mathematics Vol 5 No 2 (2016)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v5i2.13122

Abstract

Dengue fever is an infectious diseese caused by the dengue virus. Dengue virus in to the human body through the intermediary of A. Aegypti mosquito bites. In the human body, the virus uses the cell as a medium to poliferate and survive. The presence of viruses in the human body activates the immune respone is T-cell to inhibit the breeding of dengue virus takes too medicinal plants. In this article, the transmission of dengue virus in the human body modeled mathematically, the next will be determined the stability of the equilibrium point of the model. Result of analysis showed that the stability of the equilibrium point of dengue virus depends on the basic reproduction ratio (R0). If R0 < 1 then the equlibrium point is virus free local asymptotically stable, whereas if R0 > 1 then the equilibrium point is endemic will be asymptotically stable local
PERBANDINGAN ALGORITMA BRANCH AND BOUND DAN ALGORITMA GENETIKA UNTUK MENGATASI TRAVELLING SALESMAN PROBLEM (TSP) (Studi Kasus PT. JNE Semarang) Nugroho, Ari Yulianto; Suyitno, Amin; Arifudin, Riza
Unnes Journal of Mathematics Vol 5 No 2 (2016)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v5i2.13123

Abstract

This study examines an optimum solution to the search of Travelling Salesman Problem (TSP). The purpose of this paper is finding the shortest route at PT. Jalur Nugraha Ekakurir (JNE) Semarang on condition that every town is just visited once, except for the beginning address. Branch and bound algorithm dan genetic algorithm, is proposed to solve optimization problems with using Matlab software. Measurement of the effectiveness of the work system is done by comparing the calculation results between the branch and bound algorithm and genetic algorithm which is the best modification. Population size, pc, pm, and the number of generations are used as modifications. The results showed that the length of the resulting circuit using genetic algorithm is smaller than the length of using circuit branch and bound algorithm. This shows that genetic algorithm is more effective in determining the shortest circuit for delivery of goods in PT. Jalur Nugraha Ekakurir (JNE) Semarang
PENERAPAN GRAF PADA PERSIMPANGAN MENGGUNAKAN ALGORITMA WELSH-POWEL UNTUK OPTIMALISASI PENGATURAN TRAFFIC LIGHT Setiawan, Danang Aji; Suyitno, Amin; Arifudin, Riza
Unnes Journal of Mathematics Vol 5 No 2 (2016)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v5i2.13125

Abstract

The purpose of this study are to determine (1) the application of the intersection graph using Welsh-Powell algorithm for optimizing traffic light setting and (2) simulating traffic light settings using Microsoft Visual Basic 6.0. The method used includes several stages, namely data collection, processing and analysis of data, the manufacturing simulation, and conclusion. From the results of the analysis showed that the results of the calculation for the Jerakah intersection no more effective than primary data due at the intersection of the most effective own calculations have been made by DISHUBKOMINFO of Semarang and intersection calculations for STIKES Tlogorejo produce better effectiveness of primary data so that the calculations have been made suitable to be applied to the intersection. Making the simulation to present the case of setting the traffic light at the Jerakah intersection and at the STIKES Tlogorejo intersection in visual form so that the resolution of the easier and shorter, because the duration of the simulation can include a red light, yellow light, and green light by random
SIMULASI JARINGAN JALAN DI KOTA SEMARANG BERBASIS ALGORITMA FLOYD-WARSHALL UNTUK MENANGANI MASALAH LINTASAN TERPENDEK Harsono, Harsono; Mulyono, Mulyono; Suyitno, Amin
Unnes Journal of Mathematics Vol 5 No 2 (2016)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v5i2.13127

Abstract

This study aimes to know the result of simulation program of road network by using Floyd-Warshall algorithm and visual basic programing. This study also aims to prove that the manual calculation is not different with the simulation of road networking in finding the shortest path of a graph. The method include (1) problem identification, (2) study of litetature, (3) data collection, (4) desainning and constructing simulation program, (5) implementasion of simulation, (6) evaluation of simulation program, (7) drawing conclution. Based on road network data of semarang city with is represented in a form of graph and running simulation Floyd-Warshall algorithm which is the result of desainning and creating the program by using visual basic programming. This simulation resulting shortest path for finding from start verteks to destination verteks after represented to simulation program.Based result manual calculation and the simulation Floyd-Warshall algorithm of this graph is not different
HYPER-PARABOLOIDA DALAM RUANG EUCLID BERDIMENSI-N Rahmat, Muhammad Syifaur; Suhito, Suhito; Sutarto, Hery
Unnes Journal of Mathematics Vol 5 No 2 (2016)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v5i2.13128

Abstract

One study in geometry is parabolic and paraboloid. Parabola is the locus of points equidistant from a given point and line. Expansion paraboloida on space n> 3 can be done by working through its analytical properties. Issues raised is how to find and formulate general equation of hyper-paraboloid, hyper-paraboloid tangent plane, and the polar plane of hyper-paraboloid. The purpose of this research is to formulate a general equation-paraboloida hyper, hyper-paraboloida tangent plane, and the polar plane of hyper-paraboloid. The method used is literature. In this study, the authors limit the issues discussed in the hyper-paraboloid centered at O and O’ with a symmetry axis parallel to the coordinate axes as well as the focal point lies on the axis symmetry. Results of this research is the general equation of hyper-paraboloid, hyper- paraboloid tangent plane, and the polar plane of hyper-paraboloid
ESTIMASI MULTIVARIATE ADAPTIVE REGRESSION SPLINES (MARS) PADA INDEKS HARGA SAHAM GABUNGAN (IHSG) Asriani, Elisa Desi; Sugiman, Sugiman; Hendikawati, Putriaji
Unnes Journal of Mathematics Vol 5 No 2 (2016)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v5i2.13130

Abstract

The purpose of this study is to know: (1) a estimation best MARS on CSPI with criteria GCV; (2) importance predictors variables against the model best obtained. Variabels affecting Composite Stock Price Index (CSPI) are inflation, interest rate, exchange rate the Rupiah againts the u.s.dollar, Dow Jones index, Nikkei 225 index, and Hang Seng index. MARS model is derived by combination of BF, MI, and MO through trial and error. MARS method on CSPI because nonparametric and high dimention is data has variabels predictors from 3 to 20 and data sampel from 50 to 1000. The analysis MARS method on CSPI with do testing parameters of regression nonparametric model, standaritation, and The results estimation MARS best on CSPI is BF=18, MI=1, and MO=1, GCV minimum is 0,05640. Predictors variables that were significans are inflation; exchange rate the rupiah againts the US$; Dow Jones index; interest rate; and Nikkei 225 index with contributions of importance are 100%; 86,54114%; 84,31259%; 38,18755%; and 32,75410%.
ANALISIS INTERVENSI FUNGSI STEP PADA HARGA SAHAM (STUDI KASUS SAHAM PT FAST FOOD INDONESIA Tbk) Sari, Ratna Novita; Mariani, Scolastika; Hendikawati, Putriaji
Unnes Journal of Mathematics Vol 5 No 2 (2016)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v5i2.13131

Abstract

The analysis of the intervention is analysis a time series data that is affected by events outside the control of which may result in a change in the time series. Intervention analysis is used to analyze the data time series data of known intervention time. The main objective of this research is to determine the best intervention model on price of stock data PT Fast Food Indonesia Tbk period December 2013-January 2014, so the best forecasting method can be used to predict price of stock data PT Fast Food Indonesia Tbk for the next period with the help of SAS software program. Based on the analysis of the obtained the best intervention model that is a model of ARIMA (2,4,2) with the order of b = 20, s = 5, r = 0. The model of forecasting results obtained with the model of the step function intervention shows that the value of his predictions are within the threshold interval 95% confident with the results of the Eastern 70.82, MSE amounting to 386.94, and the RMSE of 19.671. So the forecast results can be used to estimate the daily price of stock data PT Fast Food Indonesia Tbk on 23 January 2014 to 20 February 2014 post intervention due to the occurrence of a policy dividend that caused significantly decreased just around the time the intervention only.

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