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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
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Search results for , issue "Vol. 8 No. 1 (2022)" : 6 Documents clear
Texture-Based Woven Image Classification using Fuzzy C-Means Algorithm Soetrisno Soetrisno; Dwi Ratna Sulistyaningrum; Isi Bifawa’idati
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 8 No. 1 (2022)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

There are a lot of texture-based image data stored in the storage media Internet. Most of these data portray the cultural fabric texture results from a State. Because of the many variants of the existing texture, the data need to be easily accessible through the Internet. Moreover, the area of origin of weaving the surface is easily known. Therefore, it is necessary to develop a classification system based on woven image data. The texture of the image data stored in a database on the Internet can be grouped/clustered well, making it easy to access. This study examines a texture-based woven image classification using fuzzy c-means algorithm. This method combines extraction methods Gabor filter, fuzzy c-means algorithm and Euclid distance similarity measure. An experiment was done using the system as many as 60 woven images from Bali, NTT and Central Java areas, each taken as many as 25 images weaving. The test results stated that testing using the test images taken from the images in the database generates a 100% accuracy rate, and testing using test images taken from outside the database produces an accuracy rate of 94%.
Implementation of Convolutional Neural Networks for Batik Image Dataset Vina Ayumi; Ida Nurhaida; Handrie Noprisson
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 8 No. 1 (2022)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

One method of image recognition that can be used is a convolutional neural network (CNN). However, the training model of CNN is not an easy thing; it takes tuning parameters that take a long time in the training process. This research will do Batik pattern recognition by using CNN. From the experiment that we conducted, the result shows that the feature extraction, selection, and reduction give the accuracy more significant than raw image dataset. The feature selection and reduction also can improve the execution time. Parameters value that gave best accuracy are: epoch = 200, batch_size = 20, optimizer = adam, learning_rate = 0.01, network weight initialization = lecun_uniform, neuron activation function = linear.
Modeling Portfolio Based on Linear Programming for Bank Business Development Project Plan Shanti Wulansari; Mauridhi Hery Purnomo
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 8 No. 1 (2022)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

The bank’s business processes target business plans for the next year. Existing conditions, the business plan is based on the growth asset portfolio every year, so that the purchase of productive assets awaits issuers’ offers. This condition will cause a portfolio not to be measured and the inaccuracy of portfolio selection. Asset Liability Management (ALM) is the management of the structure of assets and liabilities to achieve profit. Banking books and trading books are bank portfolios to earn income. In selecting each portfolio, it contains liquidity risk, market risk and, credit risk. The level of profit is reflected in returns, while returns and risks are a trade-off so that calculations require mathematical and simulation models. Each bank needs an overview of the composition of productive assets, as short-term, medium-term and, long-term assets must be measured risk and target achievement. Linear programming method will allocate productive assets as the bank’s leading source of income, to achieve optimization of profit on the risks received. The problem with this research is that there are 830 variables as banking assets and 19 constraints as indicators of risk. In the seventh iteration of mathematical models, return 1,803 Trillyun from 11 banking book assets.
Restricted Size Ramsey Number for Matching versus Tree and Triangle Unicyclic Graphs of Order Six Elda Safitri; Peter John; Denny Riama Silaban
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 8 No. 1 (2022)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

Let F, G, and H be simple graphs. The graph F  arrows (G, H) if for any red-blue coloring on the edge of F, we find either a red-colored graph G or a blue-colored graph H in F. The Ramsey number r(G,H) is the smallest positive integer r such that a complete graph Kr arrows (G,H). The restricted size Ramsey number r*(G,H) is the smallest positive integer r* such that there is a graph F, of order r(G,H) and with the size r*, satisfying F arrows (G,H). In this paper we give the restricted size Ramsey number for a matching of two edges versus tree and triangle unicyclic graphs of order six.
Stability Analysis of Traveling Waves to Advection-Diffusion Equation Involving Square-root Mohammad Ghani; Wahyuni Ningsih; Nailul Izzati
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 8 No. 1 (2022)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

In this paper, we study the existence and stability of advection-diffusion equation involving square-root. We first change the original equation into the traveling wave by using ansatz transformation. Then, we apply the appropriate perturbation to establish the energy estimate under small perturbation and large wave amplitude. These results of energy estimates are used to prove the stability of traveling wave solutions.
Modeling of Water Treatment Plant using Hybrid Petri Nets Deny Murdianto
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 8 No. 1 (2022)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

Hybrid Petri nets are modeling framework for a system that contains discrete and continuous states. In this paper, we construct a model of water treatment plant using Hybrid Petri nets. We choose hybrid petri nets because the water treatment plant contains discrete and continuous parts. The discrete part consists of the state of pumps and the continuous part consists of water volume in each processing unit. The Petri Nets obtained were further simplified to facilitate simulation. Through simulation we can determine the amount of water production with certain specifications.

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