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Contact Name
Imam Mukhlash
Contact Email
imamm@matematika.its.ac.id
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+6285648721814
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ijcsam.matematika@its.ac.id
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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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Kota surabaya,
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INDONESIA
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. 11 No. 1 (2025)" : 6 Documents clear
Dual Reciprocity Boundary Element Method for Steady Infiltration Problems from Furrow Irrigation Channels in Heterogeneous Soil Muhammad Manaqib; Yanne Irene; Muhaza Liebenlito; Rizki Aulia
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 11 No. 1 (2025)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v11i1.4306

Abstract

This research discusses solving the problem of infiltration of furrow irrigation channels in heterogeneous soil containing five soil layers using the Dual Reciprocity Boundary Element Method (DRBEM) numerical method. The mathematical infiltration model in furrow irrigation channels takes the form of the Richard Equation, which is transformed into a modified Helmholtz equation with mixed boundary conditions. Solving with DRBEM shows that in heterogeneous and homogeneous soils, the soil type influences the suction potential and water content values. Different soil depths in heterogeneous soil produce variations and jumps in suction potential and water content values in each soil layer.
Analysis of GDP in Countries allied to Indonesia using a Combination of the GSTAR Model and Verification using Statistical Quality Control Nur'ainul Miftahul Huda; Nurfitri Imro'ah; Tarisa Umairah; Dewi Setyo Utami; Nani Fitria Arini
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 11 No. 1 (2025)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/ijcsam.v11i1.4307

Abstract

The Generalized Space-Time Autoregressive (GSTAR) model is used to model GDP growth rates in Indonesia, Malaysia, Singapore, and Brunei Darussalam, allied countries. Southeast Asian countries have cultural and historical linkages and often share economic tendencies. GSTAR is used because it can represent GDP dynamics' complex spatial and temporal relationships. Historical GDP data for the four countries from 1975 to the present is collected. The GSTAR model models regional interdependence and temporal patterns in these economies' geographical and temporal linkages. To test GSTAR model accuracy and robustness, control chart analysis is done. Control charts help monitor and assess economic model stability. The data used in this study is GDP data in Indonesia, Malaysia, Singapore, Brunei Darussalam, and Thailand, was collected from 1975 to 2021. This study discusses GSTAR model projections with actual GDP growth rate data to identify economic abnormalities in these linked countries. This research has major consequences for regional politicians, economists, and businesses. Policy decisions, investment strategies, and GSTAR model economic forecasts can benefit from understanding these countries' GDP growth interdependencies and patterns. Control chart analysis also assures the model accurately tracks economic trends over time. Finally, the GSTAR model and control chart analysis give a complete framework for modeling and testing allied GDP growth rates.
Climate Change and Its Effect on Temperature and Precipitation Trends: Case Study in Surabaya Using RegCM5 Asyam Mulayyan Dary; Mas Agus Mardyanto; Joni Hermana; Chairul Imron
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 11 No. 1 (2025)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v11i1.4308

Abstract

Climate change is increasingly driving extreme weather events, yet its regional impacts remain complex. This study employs the RegCM5 model, driven by ERA5 reanalysis data, to simulate high-resolution (5 km) climate dynamics in Surabaya, Indonesia from December 2018 to November 2023. Validated against gridded observational datasets and analyzed via Earth's energy balance, the results reveal a steady rise in both top-of-atmosphere and surface energy imbalances, corresponding with record-breaking increases in maximum and minimum temperatures by approximately 1.5°C and 1°C from 2020 to 2023. While monthly precipitation patterns were inconsistent, daily observations indicate a significant increase in high-intensity precipitation events. These findings offer critical insights into evolving regional climate impacts and inform local adaptation and mitigation strategies.
Modeling and Estimating GARCH-X and Realized GARCH Using ARWM and GRG Methods Didit Budi Nugroho; Melina Tito Wijaya; Hanna Arini Parhusip
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 11 No. 1 (2025)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v11i1.4309

Abstract

This study evaluates the fitting performance of GARCH-X(1,1) and RealGARCH(1,1) models, which are extensions of GARCH(1,1) model by adding the Realized Kernel measure as an exogenous component, on real data, namely the Financial Times Stock Exchange 100 and Hang Seng stock indices over the period from January 2000 to December 2017. The models assume that the return error follows Normal and Student- t distributions. The parameters of models are estimated by using the Adaptive Random Walk Metropolis (ARWM) method implemented in Matlab and the Generalized Reduced Gradient (GRG) method. The comparison of estimation results shows that the GRG method has a good ability to estimate the models because it provides the estimation results that are close to the results of the ARWM method in terms of relative error. On the basis of Akaike Information Criterion, the RealGARCH models perform better than the GARCH-X models, where the RealGARCH model with Student- t distribution provides the best fit.
Terwilliger Algebras of Group Association Schemes of Matrix Groups Nur Hamid
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 11 No. 1 (2025)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v11i1.4310

Abstract

This paper investigates the Terwilliger algebras ofsome group association schemes related to matrix groups. We obtainthe structure of the Terwilliger algebras for the general andthe special linear group of 2×2 matrices over the field of order5. In particular, we determine the Wedderburn decomposition ofthese algebras.
Solving Traveling Salesman Problem Art Using Clustered Traveling Salesman Problem Nadya Sulistia; Irwansyah Irwansyah; Marwan Marwan
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 11 No. 1 (2025)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v11i1.4311

Abstract

Abstract—The Traveling Salesman Problem (TSP) is a wellknownoptimization problem that seeks to determine the shortestpossible route that allows a salesman to visit each city exactlyonce before returning to the starting point. With advances in TSPtheory and its applications, a novel concept known as TSP Art hasemerged, blending mathematics with artistic expression. In TSPArt, the optimal solution to the TSP generates an artistic patternor figure. However, the complexity of this problem increases withthe number of vertices, making it computationally challengingto solve. This study proposes an approach using the ClusteredTraveling Salesman Problem (CTSP) to address the TSP Artproblem by organizing vertices into clusters, where each clusteris visited once, while maintaining an efficient overall tour. Theobjective of this research is to solve the TSP Art problemusing the CTSP approach and to calculate the length of theminimum tours. The Nearest Neighbor and 2-opt algorithms areapplied within each cluster to find the shortest paths, whileKruskal’s algorithm is employed to connect these paths intoan optimized overall tour. The minimum tour lengths for TSPArt representations of Mona Lisa, Van Gogh, and Venus aredetermined to be 6, 932, 014.19, 6, 878, 519.41, and 8, 210, 589.60distance unit, respectively.

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