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International Journal of Computing Science and Applied Mathematics
ISSN : -     EISSN : 24775401     DOI : -
Core Subject : Science, Education,
(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.
Arjuna Subject : -
Articles 121 Documents
Optimal Feeding Strategy on Microalgae Growth in Fed-Batch Bioreactor Model Nailul Izzati; Mardlijah Mardlijah
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 1, No 1 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (97.012 KB) | DOI: 10.12962/j24775401.v1i1.1451

Abstract

Some countries in the world turn to alternative energy source to fulfill their necessity of fuel. One of the alternative fuels is biodiesel. Raw material of biodiesel can be produced by microalgae cultivation in fed-batch bioreactor. To improve the productivity of microalgae cultivation, we need to determine the optimal control of microalgae growth. This paper discusses mathematical model of microalgae growth in fed-batch bioreactor, and solves the optimal feeding strategy problem by using Pontryagin Minimum Principle. Then we compare the controlled microalgae growth model with the uncontrolled one. Numerical simulation with DOTcvpSB shows that the controlled microalgae growth model yields more harvest and less cost function than the uncontrolled one.
Heyting Almost Distributive fuzzy Lattices Berhanu Assaye Alaba; Derebew Nigussie Derso
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 4, No 1 (2018)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (124.6 KB) | DOI: 10.12962/j24775401.v4i1.3000

Abstract

In this paper, we introduce the concept of Heyting almost distributive fuzzy lattices (HADFL) using the concepts of Heyting almost distributive lattices (HADL), almost distributive fuzzy lattices, fuzzy partial order relation and fuzzy Heyting algebra. Using the properties of fuzzy Heyting algebra, we also give a necessary and sufficient condition for an HADFL to be fuzzy Heyting algebra (FHA).
Analysis and Optimal Control in the Cancer Treatment Model with Combining Radio and Anti-angiogenic Therapy Nastitie Nastitie; Didik Khusnul Arif
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 3, No 2 (2017)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (567.131 KB) | DOI: 10.12962/j24775401.v3i2.2288

Abstract

Cancer is a disease characterized by uncontrolled cell division and the ability of these cells to invade other tissues, either tissue next to them or not. Cancer treatment process is very diverse. The issue in this paper is about the treatment of cancer that processed by combining radio and anti-angiogenic therapy, which is intended to minimize the size of cancer, by adding control w (dose of radiotherapy) and u (dose of antiangiogenic). By applying Pontryagin minimum principle, the simulation results show that the size of the cancer become the most minimum if given minimum weight of anti-angiogenic (P) therapy is 0.3 and radiotherapy (Q) is 0.015. Which take big effect of this treatment is dose of anti-angiogenic therapy.
Second Degree Refinement Jacobi Iteration Method for Solving System of Linear Equation Tesfaye Kebede
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 3, No 1 (2017)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (154.613 KB) | DOI: 10.12962/j24775401.v3i1.2114

Abstract

Several iterative techniques for the solution of linear system of equations have been proposed in different literature in the past.In this paper, we present a Second degree of refinement Jacobi Iteration method for solving system of linear equation, Ax = b and we consider few numerical examples and spectral radius to show that the effective of the Second degree of refinement Jacobi Iteration Method (SDRJ) in comparison with other methods of First degree Jacobi (FDJ), First degree Refinement Jacobi (FDRJ) and Second degree Jacobi (SDJ) method.
Classification of Poverty Levels Using k-Nearest Neighbor and Learning Vector Quantization Methods Santoso Santoso; Mohammad Isa Irawan
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 2, No 1 (2016)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (288.38 KB) | DOI: 10.12962/j24775401.v2i1.1578

Abstract

Poverty is the inability of individuals to fulfill the minimum basic needs for a decent life. The problem of poverty is one of the fundamental problems that become the central attention of the local government. One of the government efforts to overcome poverty is using the alleviation programs. Government often faces some difficulties to sort out of the poverty levels in the society. Therefore it is necessary to conduct a study that helps the government to identify the poverty level so that the aid did not miss the targets. In order to tackle this problem, this paper leverages two classification methods: k-nearest neighbor (k-NN) and learning vector quantization (LVQ). The purpose of this study is to compare the accuracy of the value of both methods for classifying poverty levels. The data attributes that are used to characterize poverty among others include: aspects of housing, health, education, economics and income. From the testing results using both methods, the accuracy of k-NN is 93.52%, and the accuracy of LVQ is 75.93%. It can be concluded that the classification of poverty levels using k-NN method gives better performance than using LVQ method.
Max Plus Algebra and Petri Net Application on Scheduling of Ship Engine Component’s Spare Part Ordering Farah Azizah; Subiono Subiono
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 4, No 1 (2018)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (207.569 KB) | DOI: 10.12962/j24775401.v4i1.3555

Abstract

Shipping company is a company that runs its business by operating the ships or other businesses that are closely related to the ship. A ship has a main engine and some auxiliary engines to support the ship performance. It needs to do maintenance of engines so that the ship can operate properly. This engine maintenance is replacement of the old engine components with the new ones if the running hours of the components are over. Therefore, in the ship, the spare parts must always be available at least one for each engine component. During this time, the company has experienced a difficulty in determining the time of spare part ordering. When the running hours of engine components are over, the spare parts were not yet available. Then, Petri Net and Max Plus Algebra model will be built to schedule the ordering of ship engine component’s spare part based on the ordering flow and the running hours of engine components. The Petri Net based on the Max Plus Algebra obtains maximum time to order the spare part so that it produces the ship engine component’s spare part ordering schedule in running hour form and date. Therefore, spare part of each ship engine component is always available so that the installation can be timely and never be late.
Object Oriented Design of Software Tool for Finite Abstractions of Max-Plus-Linear Systems using Unified Modeling Language Muhammadun Muhammadun; Dieky Adzkiya; Imam Mukhlash
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 3, No 1 (2017)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3814.194 KB) | DOI: 10.12962/j24775401.v3i1.2119

Abstract

Max-Plus-Linear (MPL) systems are a class of discrete-event systems with a continuous state space characterizing the timing of the underlying sequential discrete events. There is a formal approach to analyze these systems based on finite abstractions. The abstraction algorithms have been in MATLAB using list data structure and in JAVA using tree data structure. The MATLAB implementation requires long computational time, whereas the JAVA one requires larger memory allocation. In this work, we discuss an object oriented design in C++ using tree data structure without recursive functions in the hope of improving the results obtained by the two previous implementations.
The Effect of Collector in Solar Still for Water Productivity Using Runge-Kutta Method Mardlijah Mardlijah; Achmad Fatoni; Lukman Hanafi
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 1, No 1 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (114.778 KB) | DOI: 10.12962/j24775401.v1i1.1473

Abstract

Solar still is a renewable energy technology. It can reduce crisis of clean and healthy water in some countries. Solar still produces clean and healthy water using the sunlight, but the result of distillate water is not so much. Hence the need for modifications with the addition of collector can increase the yield of distillate water. Mathematical model of solar still with collector is in the form of system of differential equations. It can be solved numerically using Runge-Kutta method. From the simulation, we conclude that the collector increases the amount of distillate water in the solar still.
Design of a Sliding PID Controller for The Surge and Roll Motion Control of UNUSAITS AUV Teguh Herlambang; Hendro Nurhadi
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 3, No 2 (2017)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (328.537 KB) | DOI: 10.12962/j24775401.v3i2.2292

Abstract

The development of underwater vehicle technology is commonly utilized in defences. NKRI needs this technology for applications and multifunctional technology becomes an important thing, since its modernization leads to developed AUV as Republics-of-Indonesia’s main weapon is sea defence. This paper proposes motion control system design applying equation of motion with 2 Degree of Freedom (DOF) to AUV system. The equation of AUV motion with 2-DOF covers surge motion and rolling motion is in the form of nonlinear equation. The control system design applied to the system of UNUSAITS AUV uses method of Sliding Proportional Integral Derivative (SPID). The result of SPID control system with the equation of motion with 2-DOF suggested that the stability of the system was reached when the resulted errors on surge motion and rolling motion were respectively 0.002% and 0.05%.
A Study on Parthenogenesis of Petersen Graph Amiroch, Siti; Kiratama, Danang
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 3, No 1 (2017)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (528.856 KB) | DOI: 10.12962/j24775401.v3i1.2115

Abstract

Genetics is the science of trait from the parent to the descendant. In biology, genetics pass a series of genes unification process that takes place in the chromosome. The results of genes unification will form the nature and character of the generation. This particular genetic process also applies in graph theory. Genetics on graph theory is divided into two: breeding and parthenogenesis. This present study elaborated a single type of genetic processes that was parthenogenesis which is applied on a Petersen graph. Through the similar process to genetics in biology, Petersen graph will be reconstructed and combined with other graphs (gene) in purposes to create a descendant or a new graph with new nature and characteristic. Based on the result of parthenogenesis on this Petersen graph, there was derived a graph which has 18 edges and 12 vertices, isomorphism toward another Petersen graph, Hamiltonian, and has 3 girth and symmetric.

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