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Imam Mukhlash
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imamm@matematika.its.ac.id
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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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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 17 Documents
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Search results for , issue "Vol. 10 No. 2 (2024)" : 17 Documents clear
Electrodiogram Signal Classification by Using XGBoost in Different Discrete Wavelet Transform Bibit Waluyo Aji; Sri Nur Chasanah; Fihris Aulia Sa’adah; Bambang Irawanto
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 10 No. 2 (2024)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v10i2.4589

Abstract

Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by the dengue virus and is spread through the bite of an adult female Aedes aegypti mosquito, as a vector (disease-carrying animal), to humans. This disease is still a major health problem in tropical and subtropical regions. Indonesia is reported as the 2nd highest country among 30 other endemic countries. Warm temperatures during the rainy season are ideal conditions for mosquitoes to lay eggs optimally, increasing egg maturity, and shortening the virus incubation period. This has an impact on increasing the number of mosquitoes and the risk of disease transmission. In this study, control of DHF was carried out by controlling the growth of vectors in the egg and adult phases of mosquitoes, which were influenced by rainfall and air temperature, as well as the treatment of infected humans. Before carrying out the control, stability analysis around the equilibrium point is first conducted. Next, the numerical solution is obtained using the Runge-Kutta method of order 4 with the help of MATLAB software. The results of the analysis show that, based on the optimal control effect in the form of mosquito egg death (k1), adult mosquito death (k2), and human treatment (k3), in the cities of Pekanbaru and Solok, there is not much difference between the two. However, there is a slight difference in the increase in the human population that is susceptible to disease.
Development of Drowsiness Detection System for Drivers using Haar Cascade Classifier and Convolutional Neural Network Syamsul Mujahidin; Achmad Ripaldi; Bowo Nugroho; Ramadhan Paninggalih
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 10 No. 2 (2024)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v10i2.4596

Abstract

The use of the Convolutional Neural Network (CNN) method to recognize an object in an image that is not too complex from the background and fore-ground shows very good results. However, in the case of images with various and very complex objects, the CNN method produces a large number of fea-ture maps, sometimes even unnecessary regions of interest (ROI) are includ-ed as material for model training which results in a lot of noise. This results in high computational costs and inconsistencies in the prediction results. Therefore, a pre-processing stage is needed, such as determining the area of interest (ROI) on the object of interest and the optimal architecture of CNN. This study applies the Haar Cascade Classifier method to determine the ROI of the object of interest in the image and CNN with the modified vgg-16 model architecture to detect drowsiness in drivers based on facial images. Test results based on the method used show optimal performance on exper-iments at various epochs with the highest accuracy was achieved 96.72%.
Analysis of Human Development Index in West Nusa Tenggara Province with Spatial Panel Model Alfira Mulya Astuti; Afifurrahman Afifurrahman; Habibi Ratu Perwira Negara
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 10 No. 2 (2024)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v10i2.4599

Abstract

The purpose of this article is to examine the factors that influence the human development index (HDI) in West Nusa Tenggara using a spatial panel model. This research is crucial because it can analyze correlations between regions and is more efficient, informative, and effective in HDI modeling. The data structure is panel data, where observation units are the cities and regencies in West Nusa Tenggara Province for 2010 to 2022. A human development index serves as the dependent variable. The independent variables were per capita expenditure, average length of school, length of school expectations, and life expectancy. The Rook contiguity and the customized matrix (transportation routes) are used to examine geographical impacts. The results of the analysis indicate: 1) there are spatial linkages between districts and cities in West Nusa Tenggara; 2) the SAR Fixed Effect model is the most appropriate spatial model to model the human development index; 3) the human development index can be improved simultaneously by factors such as life expectancy, expected length of schooling, average length of schooling, and per capita expenditure; and 4) life expectancy is the main factor affecting the human development index.
Optimal control using pontryagin’s maximum principle: Tuberculosis spread case Muhammad Iqbal Widiaputra; Ahmad Hanif Asyhar; Wika Dianita Utami; Putroue Keumala Intan; Dian Yuliati; Muhammad Fahrur Rozi
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 10 No. 2 (2024)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v10i2.4602

Abstract

Tuberculosis is one of the deadliest infectious diseases in the world. In 2020, 9.9 million people were infected and 1.5 million died. East Java province ranks third with 43,268 tuberculosis cases. This research aims to determine the results of the tuberculosis disease model and simulation without and with the use of optimal control. The mathematical model SEIR is a model that can analyze the spread of the disease tuberculosis. In this research, a variable treatment compartment to the SEIR model. It used 4 antibiotics in the intensive phase and added Isoniazid and Rifampicin in the advanced phase as the optimal control parameters. Optimal control uses Pontriagin’s maximum principle as the derivative to modify the SEIR model and is described by a Runge-Kutta order 4 scheme. It shows both the useful parameters in the optimal control with a maximum value of 1 and plots where the effect of optimal control exists further constrained the people infected with Tuberculosis.
Simulation of a Mathematical Model of Proteins Interaction on GLUT4 Translocation Ari Kusumastuti; Mohammad Isa Irawan; Kistosil Fahim; Nurul Anggraeni Hidayati; Anindita Sharkar
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 10 No. 2 (2024)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v10i2.4606

Abstract

Glucose is the energy source of cells. Glucose absorption into muscle cells is regulated by Insulin by involving the interaction of several proteins in a specific system. The system works for the translocation of GLUT4 to the cell membrane. GLUT4 is a transporter protein owned by every muscle cell, as an entry gate for glucose and an Insulin partner in maintaining homeostasis of blood glucose levels. After the Insulin activation occurs in the Insulin Receptor Substrate (IRS), it is followed by the activation of several proteins to regulate GLUT4 translocation, namely IRS, phosphatidylinositol 3-kinase (P13K), 3-phosphoinositide-dependent protein kinase-1 (PDK1/2) and serine/threonine-protein kinase (AKT). This study describes these processes in a mathematical model as a system of ordinary differential equations. The specific process modeled is the Insulin signal pathway that regulates GLUT4 translocation, which can be accessed on Kegg.jp. Moreover, string.db.org analysis results are used as a reference to prove the type of protein interaction. The formulated model is directed to coherently explain the flux changes of each protein involved in the system and stimulate easily. The simulation provides an overview of the protein dynamics in the system over time. Finally, the mathematical models and simulations will complement the basic understanding of the effect of glucose absorption on the translocation of GLUT4.
An Inventory Model for Deteriorated Item with Time- and Inventory-dependent Demand and Backorder Dharma Lesmono; Taufik Limansyah; Ignatius A. Sandy
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 10 No. 2 (2024)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v10i2.4609

Abstract

The paper focuses on developing an inventory model for deteriorated item when demand is time- and inventorydependent. Deteriorated items can usually be found in items such as vegetables, fruit, milk, chemical product, pharmaceutical and it needs special attention in managing this kind of inventory. We model the inventory control for these items by a mathematical model involving time- and inventory-dependent demand and considering the backorder policy in handling shortages. The developed model aims to find the optimal time between replenishment and when inventory drops to zero, which minimizes the total inventory cost. The total inventory cost consists of the purchase cost, the order cost, the holding cost, and the shortage cost. Sensitivity analysis is performed to analyse the effect of changing the parameters’ values to the time between replenishment, when inventory drops to zero, the order quantity, and the total inventory cost. The finding shows that changing the parameters’ values of deterioration rate, demand, unit holding cost, unit holding cost and unit shortage cost will have an impact on the time between replenishment, time when inventory drops to zero, order quantity, and inventory cost.
Empowering New Capital Zones: East Kalimantan’s Economic District Outlooks Using Location Quotient and Cluster Analysis Mega Silfiani; Diana Nurlaily; Irma Fitria
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 10 No. 2 (2024)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v10i2.4613

Abstract

This research focuses on investigating the economy of the new capital buffer zone by identifying and clustering its leading sectors in GRDP (Gross Regional Domestic Product) of East Kalimantan. The identification of a region’s leading sector through LQ (Location Quotient) index has proven to be effective. In addition, k-means clustering and Self-Organizing Maps (SOM) are adopted to provide comprehensive insights. The results show that LQ index quickly identifies the main sectors in each district of East Kalimantan. In addition, the kmeans clustering has better performance than SOM based on the Silhouette coefficient. This meticulous analysis confirms the existence of two distinct clusters, one including eight members and the other consisting of only two. Anticipating future research endeavours, the exploration of various approaches for constructing clusters, encompassing both hierarchical and non-hierarchical approaches, provides the potential to enhance the performance of clusters. By investigating this structure, a more comprehensive comprehension of the economic framework of East Kalimantan can be achieved, as well as its potential role as a buffer for the capital region.

Page 2 of 2 | Total Record : 17

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