Journal of Computing Research and Innovation最新文献_第4页

Application of Susceptible-Infected-Removed Model with Vital Dynamics for COVID-19 Outbreak in Malaysia 具有生命动力学的易感-感染-去除模型在马来西亚COVID-19疫情中的应用

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.292

Yeong Kin Teoh, Nur Fatihah Hamdan, Suzanawati Abu Hasan, Anas Fathul Ariffin, A. Mahat

{"title":"Application of Susceptible-Infected-Removed Model with Vital Dynamics for COVID-19 Outbreak in Malaysia","authors":"Yeong Kin Teoh, Nur Fatihah Hamdan, Suzanawati Abu Hasan, Anas Fathul Ariffin, A. Mahat","doi":"10.24191/jcrinn.v7i2.292","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.292","url":null,"abstract":"In late 2019, the unique severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as COVID-19, first emerged in Wuhan City, Hubei Province, China and quickly spread throughout the world. Until June 30, 2022, a total of 4,566,055 cases of COVID-19 have been reported in Malaysia, with 35,765 deaths and 4,500,856 recovered cases. This study aims to generalise a deterministic SIR model with vital dynamics for understanding the proliferation of infectious diseases. The SIR model with vital dynamics is more realistic in mimicking reality than the basic SIR model because it can determine the dynamic behaviours of COVID-19 over a more extended period. The SIR model utilises vital dynamics with unequal birth and death rates. Furthermore, the SIR model with vital dynamics is rescaled with the total time-varying population and analysed according to its epidemic condition. The results indicated that the number of infected individuals would peak about 10 - 15 days and reach their steady state about 25 - 60 days. The findings of this research may help policymakers establish, plan, and implement effective COVID-19 pandemic response strategies.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"125 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124667925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of Fuzzy TOPSIS in Selecting Poverty Case Among UiTM Perlis Students due to COVID-19 Pandemic 模糊TOPSIS在新冠肺炎疫情下波斯大学学生贫困案例选择中的应用

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.311

Sharifah Fhahriyah Syed Abas, Nurulain Nabilah Muhamad Fauzuk

{"title":"Application of Fuzzy TOPSIS in Selecting Poverty Case Among UiTM Perlis Students due to COVID-19 Pandemic","authors":"Sharifah Fhahriyah Syed Abas, Nurulain Nabilah Muhamad Fauzuk","doi":"10.24191/jcrinn.v7i2.311","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.311","url":null,"abstract":"The effects of Covid-19 are not only in terms of health, but many things arise along with its existence. One of them is poverty. Due to this, Universiti Teknologi MARA(UiTM) has taken the initiative to offer several financial aids to the affected students. However, the students must fill in the application form to obtain the aid. They need to provide the supporting documents such as parents pay slip, information on family dependent and so on, which will be inspected, graded and selected by the committee to determine the qualification for the financial aids. Due to this, it will be a long process to select the rightful applicants, which involves a significant length of time as it consisted of hundreds of applicants. Hence, the aim of this study is to select and rank the most eligible candidates among UiTM Perlis students with fairness, fast and accurate manner. In this study, the Fuzzy Technique for Others Preference by Similarity to Ideal Solution (TOPSIS) method was used to solve the problem. The model was run using Microsoft Excel. The selection of UiTM Perlis students were based on a set of criteria that had been predetermined which includes family income, occupation and the number of dependent in the family. The findings of the study showed that from 35 samples of UiTM Perlis students, the highest-ranking was student 35 (S35) with 1.0000 relative closeness. Meanwhile, the lowest ranking was student 30 (S30) with 0.6478 relative closeness. It is also shown that all samples are qualified to receive financial aid due to sufficient allocation amount provided by UiTM Perlis. As a result, the mistakes during the selection process can be reduced by using this method compared to manual selection. Thus, making it easier and faster to channel the aid. All in all, it has been demonstrated that this method is very suitable to be used in this study.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115283925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Simulation of COVID-19 Trend in Selangor via SIR Model of Infectious Disease 利用SIR传染病模型模拟雪兰莪州COVID-19趋势

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.322

Suzanawati Abu Hassan, Yeong Kin Teoh, Diana Sirmayunie Mohd Nasir, Nur Shamira Sharil

{"title":"Simulation of COVID-19 Trend in Selangor via SIR Model of Infectious Disease","authors":"Suzanawati Abu Hassan, Yeong Kin Teoh, Diana Sirmayunie Mohd Nasir, Nur Shamira Sharil","doi":"10.24191/jcrinn.v7i2.322","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.322","url":null,"abstract":"Coronavirus Disease 2019 (COVID-19) was initially reported in December 2019 in Wuhan City, China, as a result of a respiratory pandemic. Since then, the infection has spread rapidly and uncontrollably around the globe, prompting the World Health Organization (WHO) to declare it a pandemic. The study's overall objective is to imitate the COVID-19 infectious trend in Selangor. The SIR model is used to forecast infection and the course of COVID-19 diffusion and estimate the fraction of the population infected. As a result, the Susceptible, Infectious, and Recovered (SIR) model was used to accomplish the study's aims. From March 23, 2020, to June 30, 2020, 100 days of COVID-19 data were extracted from a database on the Malaysian Ministry of Health's website. The RStudio software was used to analyse data on infectious trends in this study. The SIR model is used to predict the basic reproduction ratio, , based on actual and simulated infectious trends for comparison. The value of the basic reproduction ratio for simulating the infectious trend is 2.0, and the basic reproduction ratio for modelling the infectious trend with the entire population of Selangor is 1.15429. According to the findings of this study, the reproduction ratio would affect the number of infected individuals by reducing the number of recovered individuals. The effectiveness of lockdown in preventing COVID-19 disease in Selangor was demonstrated by a significant reduction in the basic reproduction ratio, .","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116674619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Learning in Face Recognition for Attendance System: An Exploratory Study 深度学习在考勤系统人脸识别中的探索性研究

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.288

Mochamad Azkal Azkiya Aziz, S. Ismail, Noormadinah Allias

引用次数: 0

Storeroom Management Module (SMM) Development for ARCA Web-based System 基于web的ARCA系统仓库管理模块(SMM)的开发

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.296

Nurshahira Yasmin Mohd Tarmizi, M. Jamaluddin, A. F. Ibrahim, Mohd Faris Mohd Fuzi, Mohd Hairul Nazreen Jamil

{"title":"Storeroom Management Module (SMM) Development for ARCA Web-based System","authors":"Nurshahira Yasmin Mohd Tarmizi, M. Jamaluddin, A. F. Ibrahim, Mohd Faris Mohd Fuzi, Mohd Hairul Nazreen Jamil","doi":"10.24191/jcrinn.v7i2.296","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.296","url":null,"abstract":"Storeroom is the most important storage area and it must be kept secured as it will be used by college students to keep their goods during semester break. They need to clear up the room before leaving the campus. To impose the security measure of storeroom, college management unit require students that are using the storeroom to write details and particulars before checking in and out the storeroom. This paper presents a development of Storeroom Management Module (SMM) for integration with Attendance Record for College Activities (ARCA) system. The module offers easy process when college staffs and students are dealing with storeroom. Module development involved three main phases which are feasibility study, design and development and module testing. Four components that comprises 17 questionnaires were included in technology acceptance model for module testing. Out of four components tested, component perceived user satisfaction (PUS) had received the highest mean score. This indicated that the developed SMM satisfied users in dealing with storeroom management module.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125513795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling and implementation of an automatic Access control system for secure permises using facial recognition 基于面部识别的安全许可自动访问控制系统的建模和实现

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.273

Bopatriciat BOLUMA MANGATA, Reagan, Donatien, Joseph

引用次数: 0

Parallel and Distributed Computation of a Fingerprint Access Control System 指纹门禁系统的并行与分布式计算

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.271

Bopatriciat BOLUMA MANGATA, Kadima G. L. Muamba, Fundji Khalaba, Bukanga Christian Parfum, Kisiaka Mbambi

引用次数: 0

An Analysis of Intrusion Detection Classification using Supervised Machine Learning Algorithms on NSL-KDD Dataset 基于NSL-KDD数据集的有监督机器学习入侵检测分类分析

Journal of Computing Research and Innovation Pub Date : 2022-03-30 DOI: 10.24191/jcrinn.v7i1.274

Sarthak Rastogi, Archit Shrotriya, Mitul Kumar Singh, Raghu Vamsi Potukuchi

引用次数: 2

Integrated Network Monitoring using Zabbix with Push Notification via Telegram 集成网络监控使用Zabbix与通过电报推送通知

Journal of Computing Research and Innovation Pub Date : 2022-03-30 DOI: 10.24191/jcrinn.v7i1.282

Mohd Faris Mohd Fuzi, Nur Fatin Mohammad Ashraf, M. Jamaluddin

{"title":"Integrated Network Monitoring using Zabbix with Push Notification via Telegram","authors":"Mohd Faris Mohd Fuzi, Nur Fatin Mohammad Ashraf, M. Jamaluddin","doi":"10.24191/jcrinn.v7i1.282","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i1.282","url":null,"abstract":"The world is becoming increasingly dependent on online services. To offer a service, a network must be in good health and free of any attacks. An attack happens when the confidentiality, integrity, or availability of a service is compromised. Network monitoring is a solution capable of maintaining these network devices from their usage up to detecting attacks. A denial of service (DoS) attack on a network can affect the network performance and can cause serious damage. Zabbix is an open-source network monitoring tool that is versatile and can be used to monitor hosts on a network. The purpose of this project is to detect possible ping and SYN flooding attempts on a server and send alerts to the administrator via Telegram. This project uses Zabbix to monitor a server for potential ping and SYN flooding attacks. Tcpdump is used to log the pings received by the server. When the server continuously receives 10 or more pings per second, an alert will be automatically generated and sent to the administrator via Telegram. Similarly, a SYN flood attack is detected by using netstat’s SYN_RECV flags. When the server continuously receives more than 10 SYN packets without an ACK packet, Zabbix will generate alerts that are sent via Telegram and update the dashboard to show a problem. Zabbix was able to accurately detect all ping flooding attempts on the server. However, SYN flooding attacks were not as accurately detected. The use of Zabbix can be implemented in small businesses or networks for an automated monitoring system. Future work can include more DDoS attacks and adding countermeasure actions when detecting attacks by blocking the IP or port associated with the attack. SYN flooding detection needs to be improved because only two out of three attacks were able to be caught.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131538504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fuzzy Logic to Evaluate Significant Factors Affecting Students’ Academic Performance Through Online Distance Learning 模糊逻辑评价在线远程学习影响学生学业成绩的重要因素

Journal of Computing Research and Innovation Pub Date : 2022-03-30 DOI: 10.24191/jcrinn.v7i1.267

Mohd Fazril Izhar Mohd Idris, Khairu Azlan Abd Aziz, Muhammad Haiman Aminuddin

{"title":"Fuzzy Logic to Evaluate Significant Factors Affecting Students’ Academic Performance Through Online Distance Learning","authors":"Mohd Fazril Izhar Mohd Idris, Khairu Azlan Abd Aziz, Muhammad Haiman Aminuddin","doi":"10.24191/jcrinn.v7i1.267","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i1.267","url":null,"abstract":"Online distance learning is becoming more and more popular and more preferred among students. In order to develop efficient strategies and solutions for introducing online distance learning, higher education institutions should be aware of the needs and expectations of their students. In the current study, students from University of Technology MARA will investigate which factors that affect the execution of online distance learning for academic performance. Time management, learning environment, internet connection, and learning method are among the factors under consideration, as determined by a literature review. The information was gathered through an online survey of 331 students whose academic performance is affected by online distance learning. An expert system based on fuzzy logic has been developed to determine which factors have the greatest influence on students' academic performance in online distance learning. According to the results obtained using the MATLAB software, one of the most important factors influencing students' academic performance in online distance learning is time management. The findings of this study will help students to improve time management in order to improve students’ academic performance.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114938336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0