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Imam Mukhlash
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Departemen Matematika, Gedung F Lantai II, Kampus ITS, Keputih, Sukolilo-Surabaya 60111 Jawa Timur, Indonesia Phone: +62 31-5943354 Email:ijcsam.matematika@its.ac.id
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International Journal of Computing Science and Applied Mathematics-IJCSAM
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : -     EISSN : 24775401     DOI : -
Core Subject : Education,
Mathematics
IJCSAM (International Journal of Computing Science and Applied Mathematics) is an open access journal publishing advanced results in the fields of computations, science and applied mathematics, as mentioned explicitly in the scope of the journal. The journal is geared towards dissemination of original research and practical contributions by both scientists and engineers, from both academia and industry. IJCSAM (International Journal of Computing Science and Applied Mathematics) is a journal published by Pusat Publikasi Ilmiah LPPM, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
Arjuna Subject : Matematika - Matematika Terapan
Articles 6 Documents
 1 
Search results for , issue "Vol. 5 No. 2 (2019)" : 6 Documents clear
Second Refinement of Jacobi Iterative Method for Solving Linear System of Equations Tesfaye Kebede Eneyew; Gurju Awgichew; Eshetu Haile; Gashaye Dessalew Abie
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 5 No. 2 (2019)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

In this paper, the new method called second refinement of Jacobi (SRJ) method for solving linear system of equations is proposed. The method can be used to solve ODE and PDE problems where the problems are reduced to linear system of equations with coefficient matrices which are strictly diagonally dominant (SDD) or symmetric positive definite matrices (SPD) or M-matrices. In this case, our new method minimizes the number of iterations as well as spectral radius and increases rate of convergence. Few numerical examples are considered to show the efficiency of SRJ over Jacobi (J) and refinement of Jacobi (RJ) methods.
Error Modeling Radar Rainfall Estimation Through Incorporating Rain Gauge Data Over Upper Blue Nile Basin, Ethiopia Megbar Wondie Birhan; U. Jaya Prakash Raju; Samuel T. Kenea
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 5 No. 2 (2019)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

Accurate and precise measurements of rainfall from weather radar reflectivity data is essential to supplement the limited characterization of spatial and temporal measurements provided by insufficient network and density of rain gauges. While weather radar has high spatial and temporal resolution, it contaminated with various sources of errors due to the conversion of reflectivity to rain rate and the projectile rainfall motion. Error modeling improvement with the application of projectile rainfall motion correction is essential to improve the radar data. However, stile is not well documented for over the world as well as Ethiopia. Therefore, the aim of this study was to generate an error model for weather radar rainfall estimation by incorporating gauge rainfall data over upper Blue Nile basin, Ethiopia. Projectile rainfall motion correction is considered on the data of reflectivity and rain rate to determine empirical error model parameter values. The model parameter values are found, multiplicative factor (a) was 55, the exponent factor (b) was 1.12, standard deviation of proportional error was 0.08 and standard deviation of random error was 0.07. The value of the total error varied from -0.45 to 1.16 mm and the domain of proportional error was greater than random error. After applying the projectile rainfall motion correction, the total error is reduced by 12%. In general, the assumption of projectile method is quite useful for improving the radar data over upper Blue Nile basin in Ethiopia as well as over the world. Hence, we wish to extend this method for other regions.
Identification of Rainfall Intensity by Using Bahir Dar C-band Weather Radar products Abebe Kebede Habtegebreal; Abebaw Bizuneh Alemu
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 5 No. 2 (2019)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

Observation of rainfall accumulation, distribution and wind direction spatially and temporally is very essential for meteorologists and hydrologists in the Upper Blue Nile basin and different locations of Ethiopia. The Bahir Dar (BAH) Cband weather radar used to estimate the intensity, amount and distribution of precipitation with a high resolution temporally and spatially. It is dual polarization with horizontal and vertical reflectivity; six variables are used to determine the hydrometer and non-hydrometer types, shape and sizes of targets up to range of 250 km and 450 km at constant altitude plan position indicator (CAPPI) and plan position indicator (PPI) products. From our first observation, we used different types of products to observe rainfall intensity, distribution, wind direction and warnings across Upper Blue Nile. For RainN on 01 July 2016 the rainfall distribution over twenty four hours (24 Hr) UTC at Bahir Dar, parts of lake Tana, most northern parts, western parts of Gondar town, and south western parts of lake Tana a resolution of 809 m/Pixel with frequency of 600 Hz the maximum rainfall accumulation 91.6 mm was achieved. By using CAPPI product with vertical height of 1 km on 26 June 2016 the maximum reflectivity 53.5 dBZ is observed.
The Adomian Decomposition Method with Discretization for Second Order Initial Value Problems Dagnachew Mengstie Tefera; Awoke Andargie
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 5 No. 2 (2019)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

In this paper, Adomian Decomposition Method with Discretization (ADMD) is applied to solve both linear and nonlinear initial value problems (IVP). Comparison with Adomian Decomposition Method (ADM) is presented. To illustrate the efficiency and accuracy of the method, five examples are considered. The result shows that ADMD is more efficient and accurate than ADM.
A Genetic Algorithm with Best Combination Operator for the Traveling Salesman Problem Muhammad Luthfi Shahab; Titin J. Ambarwati; Soetrisno Soetrisno; Mohammad Isa Irawan
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 5 No. 2 (2019)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

In this research, we propose a genetic algorithm with best combination operator (BC(x,y)O) for the traveling salesman problem. The idea of best combination operator is to find the best combination of some disjoint sub-solutions (also the reverse of sub-solutions) from some known solutions. We use BC(2,1)O together with a genetic algorithm. The proposed genetic algorithm uses the swap mutation operator and elitism replacement with filtration for faster computational time. We compare the performances of GA (genetic algorithm without BC(2,1)O), IABC(2,1)O (iterative approach of BC(2,1)O), and GABC(2,1)O (genetic algorithm with BC(2,1)O). We have tested GA, IABC(2,1)O, and GABC(2,1)O three times and pick the best solution on 50 problems from TSPLIB. From those 50 problems, the average of the accuracy from GA, IABC(2,1)O, and GABC(2,1)O are 65.12%, 94.21%, and 99.82% respectively.
Prediction of the Number of Passengers at Yogyakarta Airport Imam Safawi Ahmad; Agus Suharsono; Elly Pusporini
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 5 No. 2 (2019)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

The development of air transportation services is growing up. Based on the report of Central Bureau of Statistics (BPS) in January-October 2015, the number of passengers reached 67.5 million. This number is increased by 12.8% from the previous year with only 58.9 million. Overall, there was increased in the number of passengers caused overload of capacity. One of international airports in Indonesia is Adisutjipto in Yogyakarta. The airport officer wants to develop in terms of airplane schedule management and the number of aircrafts used to calculate the number of passengers in the future. In this study, we aimed to forecast next period by using three methods, namely ARIMA, Exponential Smoothing and Combination of both univariate models. This research gives results that generally all route significantly increased every year with Denpasar, Jakarta, Pontianak and Singapore as exception. They were declined slightly in 2015. The number of passengers of departure and arrival routes are affected by seasonal impact. In addition, the model for departure and arrival data had similar models. Another result is combination method did not produce better results than the univariate method. The fit model for predicting data passenger is ARIMA seasonal methods.

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