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Journal : Jurnal Natural

SOLUSI PERMASALAHAN KOMPUTASI SKALA BESAR PADA SOFTWARE ADOBE FLASH DALAM PERANCANGAN MEDIA PEMBELAJARAN PENCARIAN EULERIAN CIRCUIT Reza Wafdan; Mahyus Ihsan; Marwan Ramli; Hafnani Hafnani
Jurnal Natural Volume 16, Number 1, March 2016
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (236.963 KB) | DOI: 10.24815/jn.v16i1.4641

Abstract

Adobe Flash is a software that is used to build an interactive contents that can be attached in other things, such as presentations, games and e-learning. The Eulerian Circuit Search Instructional Media is one of examples in using Adobe Flash in building an interactive instructional media to solve graph theory problems. Visually, Adobe Flash is better than other programming software in general and it is the most suitable one for graph theory, as it uses graphics and visuals to solve problems. The weakness of Adobe Flash is when doing large scale calculations; such as when testing algorithms to find Eulerian circuits. Then an idea came about to complete the large scale calculations in Adobe Flash, which is commonly known as script time limit, with using other methodologies by changing script time limit on the settings, algorithms, partition the processes, and utulize the timers within the objects in the actionscript that handles the search algorithms of searching Eulerian circuit.
SHALLOW WATER EQUATION SOLUTION IN 2D USING FINITE DIFFERENCE METHOD WITH EXPLICIT SCHEME Nuraini Nuraini; Syamsul Rizal; Marwan Ramli
Jurnal Natural Volume 17, Number 2, September 2017
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (121.801 KB) | DOI: 10.24815/jn.v17i2.7997

Abstract

Abstract. Modeling the dynamics of seawater typically uses a shallow water model. The shallow water model is derived from the mass conservation equation and the momentum set into shallow water equations. A two-dimensional shallow water equation alongside the model that is integrated with depth is described in numerical form. This equation can be solved by finite different methods either explicitly or implicitly. In this modeling, the two dimensional shallow water equations are described in discrete form using explicit schemes.Keyword: shallow water equation, finite difference and schema explisit.REFERENSI 1. Bunya, S., Westerink, J. J. dan Yoshimura. 2005. Discontinuous Boundary Implementation for the Shallow Water Equations. Int. J. Numer. Meth. Fluids. 47: 1451-1468.2. Kampf Jochen. 2009. Ocean Modelling For Beginners. Springer Heidelberg Dordrecht. London New York.3. Rezolla, L 2011. Numerical Methods for the Solution of Partial Diferential Equations. Trieste. International Schoolfor Advanced Studies.4. Natakussumah, K. D., Kusuma, S. B. M., Darmawan, H., Adityawan, B. M. Dan  Farid, M. 2007. Pemodelan Hubungan Hujan dan Aliran Permukaan pada Suatu DAS  dengan Metode Beda Hingga. ITB Sain dan Tek. 39: 97-123.5. Casulli, V. dan Walters, A. R. 2000. An unstructured grid, three-dimensional model based on the shallow water equations. Int. J. Numer. Meth. Fluids. 32: 331-348.6. Triatmodjo, B. 2002. Metode Numerik  Beta Offset. Yogyakarta.
DESIGNING APPLICATION OF ANT COLONY SYSTEM ALGORITHM FOR THE SHORTEST ROUTE OF BANDA ACEH CITY AND ACEH BESAR REGENCY TOURISM BY USING GRAPHICAL USER INTERFACE MATLAB Durisman Durisman; Marwan Ramli; Siti Rusdiana
Jurnal Natural Volume 17, Number 2, September 2017
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (312.387 KB) | DOI: 10.24815/jn.v17i2.7920

Abstract

Banda Aceh city and Aceh Besar Regency are two of the leading tourism areas located in the province of Aceh. For travelling, there are some important things to be considered, such as determining schedule and distance of tourism. Every tourist certainly chooses the shortest route to reach the destination since it can save time, energy, and money. The purpose of this reserach is to develop a method that can be used in calculating the shortest route and applied to the tourism of Banda Aceh city and Aceh Besar regency. In this reserach, Ant Colony Optimization algorithm is used to determine the shortest route to tourism of Banda Aceh city and Aceh Besar regency. From the analysis made by using both manual calculation and  GUI MATLAB program application test, the shortest route can be obtained with a minimum distance of 120.85 km in one travel. Based on the test result, the application for tourism (in Banda Aceh city and Aceh Besar regency) shortest route searching built by utilizing the Ant Colony Optimization algorithm can find optimal route. Keyword: tourism, the shortest route, Ant Colony Optimization
Non-perfect maze generation using Kruskal algorithm MAHYUS IHSAN; DEDI SUHAIMI; MARWAN RAMLI; SYARIFAH MEURAH YUNI; IKHSAN MAULIDI
Jurnal Natural Volume 21 Number 1, February 2021
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (404.942 KB) | DOI: 10.24815/jn.v21i1.18840

Abstract

A non-perfect maze is a maze that contains loop or cycle and has no isolated cell. A non-perfect maze is an alternative to obtain a maze that cannot be satisfied by perfect maze. This paper discusses non-perfect maze generation with two kind of biases, that is, horizontal and vertical wall bias and cycle bias. In this research, a maze is modeled as a graph in order to generate non-perfect maze using Kruskal algorithm modifications. The modified Kruskal algorithm used Fisher Yates algorithm to obtain a random edge sequence and disjoint set data structure to reduce process time of the algorithm. The modification mentioned above are adding edges randomly while taking account of the edge’s orientation, and by adding additional edges after spanning tree is formed. The algorithm designed in this research constructs an  non-perfect maze with complexity of  where  and  denote vertex and edge set of an  grid graph, respectively. Several biased non-perfect mazes were shown in this research by varying its dimension, wall bias and cycle bias.
Optimization of fuzzy entropy on solar panel’s motor MUHAMMAD IKHWAN; MARWAN RAMLI; MARDLIJAH MARDLIJAH
Jurnal Natural Volume 22 Number 1, February 2022
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1290.897 KB) | DOI: 10.24815/jn.v22i1.23187

Abstract

Renewable energy has been in great demand by the public, even some countries have set regulations for substitution and transition from fossil energy to renewable energy. This study aims to modify the fuzzy control system with a metaheuristic method, namely fuzzy entropy. The entropy value of the fuzzy set in the previous stage becomes the basis for calculating the foot of uncertainty in the new fuzzy set. This process makes the entropy method parallel to other optimization methods that have been carried out on fuzzy control systems. The results obtained indicate that the modified fuzzy control system successfully controls the angle and angular velocity of the solar panel. The error value shown is very small and the time to reach stability is below 5 s. This is a rapid development of several previous studies. The modified system has no overshoot and steady state error below 1%. Based on these results, entropy research can be developed again by changing the fuzzy set to a more complex form.
Optimization of fuzzy entropy on solar panel’s motor MUHAMMAD IKHWAN; MARWAN RAMLI; MARDLIJAH MARDLIJAH
Jurnal Natural Volume 22 Number 1, February 2022
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v22i1.23187

Abstract

Renewable energy has been in great demand by the public, even some countries have set regulations for substitution and transition from fossil energy to renewable energy. This study aims to modify the fuzzy control system with a metaheuristic method, namely fuzzy entropy. The entropy value of the fuzzy set in the previous stage becomes the basis for calculating the foot of uncertainty in the new fuzzy set. This process makes the entropy method parallel to other optimization methods that have been carried out on fuzzy control systems. The results obtained indicate that the modified fuzzy control system successfully controls the angle and angular velocity of the solar panel. The error value shown is very small and the time to reach stability is below 5 s. This is a rapid development of several previous studies. The modified system has no overshoot and steady state error below 1%. Based on these results, entropy research can be developed again by changing the fuzzy set to a more complex form.
SHALLOW WATER EQUATION SOLUTION IN 2D USING FINITE DIFFERENCE METHOD WITH EXPLICIT SCHEME Nuraini Nuraini; Syamsul Rizal; Marwan Ramli
Jurnal Natural Volume 17, Number 2, September 2017
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v17i2.7997

Abstract

Abstract. Modeling the dynamics of seawater typically uses a shallow water model. The shallow water model is derived from the mass conservation equation and the momentum set into shallow water equations. A two-dimensional shallow water equation alongside the model that is integrated with depth is described in numerical form. This equation can be solved by finite different methods either explicitly or implicitly. In this modeling, the two dimensional shallow water equations are described in discrete form using explicit schemes.Keyword: shallow water equation, finite difference and schema explisit.REFERENSI 1. Bunya, S., Westerink, J. J. dan Yoshimura. 2005. Discontinuous Boundary Implementation for the Shallow Water Equations. Int. J. Numer. Meth. Fluids. 47: 1451-1468.2. Kampf Jochen. 2009. Ocean Modelling For Beginners. Springer Heidelberg Dordrecht. London New York.3. Rezolla, L 2011. Numerical Methods for the Solution of Partial Diferential Equations. Trieste. International Schoolfor Advanced Studies.4. Natakussumah, K. D., Kusuma, S. B. M., Darmawan, H., Adityawan, B. M. Dan  Farid, M. 2007. Pemodelan Hubungan Hujan dan Aliran Permukaan pada Suatu DAS  dengan Metode Beda Hingga. ITB Sain dan Tek. 39: 97-123.5. Casulli, V. dan Walters, A. R. 2000. An unstructured grid, three-dimensional model based on the shallow water equations. Int. J. Numer. Meth. Fluids. 32: 331-348.6. Triatmodjo, B. 2002. Metode Numerik  Beta Offset. Yogyakarta.
Non-perfect maze generation using Kruskal algorithm MAHYUS IHSAN; DEDI SUHAIMI; MARWAN RAMLI; SYARIFAH MEURAH YUNI; IKHSAN MAULIDI
Jurnal Natural Volume 21 Number 1, February 2021
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v21i1.18840

Abstract

A non-perfect maze is a maze that contains loop or cycle and has no isolated cell. A non-perfect maze is an alternative to obtain a maze that cannot be satisfied by perfect maze. This paper discusses non-perfect maze generation with two kind of biases, that is, horizontal and vertical wall bias and cycle bias. In this research, a maze is modeled as a graph in order to generate non-perfect maze using Kruskal algorithm modifications. The modified Kruskal algorithm used Fisher Yates algorithm to obtain a random edge sequence and disjoint set data structure to reduce process time of the algorithm. The modification mentioned above are adding edges randomly while taking account of the edge’s orientation, and by adding additional edges after spanning tree is formed. The algorithm designed in this research constructs an  non-perfect maze with complexity of  where  and  denote vertex and edge set of an  grid graph, respectively. Several biased non-perfect mazes were shown in this research by varying its dimension, wall bias and cycle bias.
DESIGNING APPLICATION OF ANT COLONY SYSTEM ALGORITHM FOR THE SHORTEST ROUTE OF BANDA ACEH CITY AND ACEH BESAR REGENCY TOURISM BY USING GRAPHICAL USER INTERFACE MATLAB Durisman Durisman; Marwan Ramli; Siti Rusdiana
Jurnal Natural Volume 17, Number 2, September 2017
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v17i2.7920

Abstract

Banda Aceh city and Aceh Besar Regency are two of the leading tourism areas located in the province of Aceh. For travelling, there are some important things to be considered, such as determining schedule and distance of tourism. Every tourist certainly chooses the shortest route to reach the destination since it can save time, energy, and money. The purpose of this reserach is to develop a method that can be used in calculating the shortest route and applied to the tourism of Banda Aceh city and Aceh Besar regency. In this reserach, Ant Colony Optimization algorithm is used to determine the shortest route to tourism of Banda Aceh city and Aceh Besar regency. From the analysis made by using both manual calculation and  GUI MATLAB program application test, the shortest route can be obtained with a minimum distance of 120.85 km in one travel. Based on the test result, the application for tourism (in Banda Aceh city and Aceh Besar regency) shortest route searching built by utilizing the Ant Colony Optimization algorithm can find optimal route. Keyword: tourism, the shortest route, Ant Colony Optimization
Study of mathematical models of type 2 diabetes mellitus and its complications MAGHFIRAH, AFIATUN; GANI, BASRI A.; RAMLI, MARWAN; IKHWAN, MUHAMMAD
Jurnal Natural Volume 24 Number 3, October 2024
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v24i3.33482

Abstract

The rapid increase in type 2 diabetes mellitus (DM) cases in Indonesia, driven by hereditary factors and unhealthy lifestyles, poses significant health challenges. This study develops a compartmental model to analyze the progression of type 2 DM and the onset of complications, classifying individuals into susceptible, patients without complications, patients with complications, and those disabled due to complications. The model examines the influence of two key factors on the recovery from complications: habitual factors, including medication adherence, physical activity, dietary habits, smoking history, and environmental factors, such as stress levels, environmental support, patient trust, and compliance. The results indicate that habitual factors have a more substantial impact on mitigating complications compared to environmental factors, suggesting that lifestyle interventions are crucial in improving patient outcomes. The model also shows that an increase in behavioral interactions leading to disease progression results in instability, emphasizing the need for early and consistent behavioral interventions. This research offers valuable insights for healthcare providers and policymakers. By identifying the most influential factors in managing complications, the model can guide the development of targeted interventions that prioritize habitual changes, such as medication adherence and physical activity. Public health strategies can be tailored to emphasize the importance of these habitual factors, potentially reducing the burden of type 2 DM complications. Overall, this study highlights the critical role of personalized, behavior-focused interventions in the management and prevention of complications in patients with type 2 DM, offering a practical framework for improving patient care.