International Journal of Information Engineering and Electronic Business最新文献

{"title":"A Reengineering based Framework for Integration of e-Governance Portal of Various State","authors":"Ganesh Chandra, S. Sahu, Sanjay K. Dwivedi","doi":"10.5815/ijieeb.2022.04.02","DOIUrl":"https://doi.org/10.5815/ijieeb.2022.04.02","url":null,"abstract":": One of the most important purposes of e-Governance is to increase the satisfaction level of citizens. A single window system often helps in great way to access various government services. However, many e-Governance portals lack in integration and interoperability. Often individual state/local governments use their own portal for providing various e- services to its citizens which at times require integration and coordination with similar portals of other states for the information sharing. Lack of this feature restricts the usages of services. The realization towards this came from our previous case studies of two such portals (namely SPST and Jansunwai) of the state of Uttar Pradesh to understand the issues therein. This paper presents a general framework and guidelines for e-Governance which may be considered for implementation to overcome the existing limitations identified during the period of this study and research. The roadmap shown can improve the services, scope and functionality of certain portals. Central to this skeleton is the interconnection and integration of similar e-services being offered by different government in the country.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127610328","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}

{"title":"Development Information System for Rubber Sap Processing in East Borneo","authors":"Haerudin, Alvian F. Abdulfattah, Ghaly P. Agusva, Adhie C. Sari Firdani","doi":"10.5815/ijieeb.2022.04.03","DOIUrl":"https://doi.org/10.5815/ijieeb.2022.04.03","url":null,"abstract":": Information technology is a technology that is growing rapidly today. Technology has a very important role in human life. The impact of the development of information technology is the increasing need for the use of computers. The use of computers in East Borneo (Kalimantan) is also not spared. East Kalimantan is one of the provinces with rubber plantations that have begun to be developed, but unfortunately due to the lack of knowledge and knowledge of the community regarding the management of agricultural products, the sale of rubber latex in East Kalimantan has not developed. Farmers can only sell rubber latex to middlemen at prices below the market. Therefore, the people of East Kalimantan need a forum for promoting agricultural products, so that they can attract buyers from outside the area and can get prices according to the market. To help people in East Kalimantan, in terms of marketing rubber products, a Rubber Sap Processing Website was created. The purpose of this paper is to increase the knowledge of processing and selling rubber products by the farmers while at the same time helping the welfare of the farming community, especially in the East Kalimantan area. The method used is Software Development Life Cycle (SLDC), the result is a website for the introduction and processing of rubber latex in East Kalimantan. The results of this study are the creation of an information system for rubber latex processing that helps farmers sells their harvests in online platform.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122677810","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}

{"title":"A Comparison of Opinion Mining Algorithms by Using Product Review Data","authors":"S. Sultana, Sumaiya Rahman Eva, Nayeem Hasan Moon, Akinul Islam Jony, Dipannyta Nandi","doi":"10.5815/ijieeb.2022.04.04","DOIUrl":"https://doi.org/10.5815/ijieeb.2022.04.04","url":null,"abstract":"After release of Web 2.0 in 2004 user spawned contents on the internet eminently in abundant review sites, online forums, online blogs, and many other sites. Entire user generated contents are considerable bunches of unorganized text written in different languages that encompass user emotions about one or more entities. Mainly predictive analysis exerts the existing data to forecast future outcomes. Currently, a massive amount of researches are being engrossed in the area of opinion mining, also called sentiment analysis, opinion extraction, review analysis, subjective analysis, emotion analysis, and mood extraction. It can be an utmost choice whilst perceiving the meaning and patterns in prevailing data. Most of the time, there are various algorithms available to work with polling. There are contradictory opinions among researchers regarding the effectiveness of algorithms. We have compared different opinion mining algorithms and presented the findings in this paper.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121649592","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}

{"title":"Sales Management Application at Widya Collection Store Web-based","authors":"Vilianty Rafida, Ita Arfyanti, Irfan Hidayat","doi":"10.5815/ijieeb.2022.04.01","DOIUrl":"https://doi.org/10.5815/ijieeb.2022.04.01","url":null,"abstract":": Widya Collection Store is a business that provides sports clothing, as well as one of the producers in the Samarinda area. Sales management is still not optimal because it still uses paper notes and is still being written which makes it easy for errors to occur in writing prices, quantities of goods and total prices so that it takes a long time to process transactions, both from payment in full or receivables. In addition, managing stock of goods is also more difficult because it is not recorded in the database. Therefore, a Sales Management application was made at the Web-Based Widya Collection Store to process item data, sales transactions, make complete notes and reports and make the transaction process faster. The long-term goal to be achieved is that the stock management process has been recorded in order to know the stock that must be ordered from the supplier. In addition, to simplify and expedite activities in searching for sales transaction data if one day it is needed. In this study, the method used to build a Sales Management Application at a Web-Based Widya Collection Store is the System Development Life Cycle (SDLC) development stage which consists of needs analysis, system design, and implementation.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128306429","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}

{"title":"A Brief Literature Review of some Efficient Human Gait Analysis Based Gender Classification Techniques","authors":"S. Rawat","doi":"10.5815/ijieeb.2022.03.05","DOIUrl":"https://doi.org/10.5815/ijieeb.2022.03.05","url":null,"abstract":": Gait based gender classification is an emerging area in the field of biometrics that has received a lot of interest from researchers mainly due to its advantages over the other methods and its potential application. Gait based gender classification helps a vision based biometric analysis system by focusing the gender-unique features. This helps to improves the performance of the model by limiting the authentication database searching to only one gender. Through the years, researchers have tried a wide variety of techniques and their combinations to improve the accuracy of gait based biometric systems in varying use-cases. In this study, we have given a brief overview of some of the recent and pioneering works done in the field of gait-based gender classification.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122426028","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}

{"title":"Developing an App for Improving Access to COVID-19 Information in Underserved Communities","authors":"V. Maphosa","doi":"10.5815/ijieeb.2022.03.03","DOIUrl":"https://doi.org/10.5815/ijieeb.2022.03.03","url":null,"abstract":"The deployment of mobile health (mHealth) apps can transform healthcare in rural and remote communities worldwide. Rural communities in Zimbabwe have limited access to information that affects their health, economic and social being due to structural and social barriers related to the inaccessibility of traditional media. mhealth apps are a valuable tool to monitor disease outbreaks and provide preventative information to the public. Lack of access to COVID-19 information results in high fatalities and public panic, and it is critical to publish reliable and timely information. The study's objective was to demonstrate the utility of a mHealth app prototype developed to enhance access to COVID-19 information in rural and remote communities in Zimbabwe. The prototype provides COVID-19 information such as statistics, preventative measures, self-diagnostics, social distancing information, and general hygiene to rural communities with limited access to official information channels on the pandemic. A design science research methodology was used to design, build and evaluate the COVID-19 mHealth app and fulfil the study's objectives. Thirty potential users participated in the evaluation of the prototype. The evaluation results show that potential users perceived that the prototype was useful, engaging, easy to learn, well designed, and provided relevant information. A strong correlation was observed between the design, engagement, functionality, and learnability. More widespread usability and more representative tests should be conducted to ascertain the efficacy and usability of the app. The study contributes literature on usability studies in developing countries. As more mHealth apps are being developed and deployed, more usability tests will be required to ensure that they are fit for purpose. The paper provides a baseline for developing related health information apps. Policymakers, health practitioners, technologists, and scholars can further investigate the deployment of digital technologies to improve healthcare and control the transmission and spread of COVID-19.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129083177","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}

{"title":"A Comparative Study of Eigenface and Fisherface Algorithms Based on OpenCV and Sci-kit Libraries Implementations","authors":"Ismail Aliyu, Muhammad Ali Bomoi, Maryam Maishanu","doi":"10.5815/ijieeb.2022.03.04","DOIUrl":"https://doi.org/10.5815/ijieeb.2022.03.04","url":null,"abstract":": Facial Recognition is the task of processing an image or video content in order to identify and recognize the faces of individuals. Its area of applications are wide and a lot of research efforts have been invested which led to introduction of techniques/algorithms and programming language libraries for implementation of those techniques. Facial recognition relies heavily on the use of machine learning techniques. Convolutional Neural Network (CNN), a deep learning algorithm has been successfully applied for face recognition task. However, because of its requirements, it may not be applicable in all cases. Where application scenario cannot cope with CNN, it is necessary to resort to other techniques that use traditional Machine Learning (ML) techniques. Previous studies that performed comparison on face recognition algorithms that use traditional ML techniques only disclosed the best algorithm without revealing the best image processing library used. Considering the fact that people now depend on these libraries to build face recognition systems, it is important to empirically show the best library. In this paper an experiment was conducted with aim of assessing the performance of Fisherface and Eigenface algorithms, and that of Scikit-learn and OpenCV libraries. Eigenface and Fisherface algorithms were combined with K-Nearest Neighbors (KNN) and Support Vector Machines (SVM) classifiers respectively. The algorithms were evaluated using LFW dataset, and implemented in two Python libraries for image processing Scikit-learn and OpenCV. This is to enable us determine the best performing technique/algorithm and at the same time the best library, thereby achieving dual aims. Experimental results show that Scikit-learn implementation of Fisherface with KNN recorded the highest F-score of 67.23% while the OpenCV implementation of Eigenface with SVM recorded the lowest F-score of 14.53%. Comparing the algorithms, Fisherface with SVM produced better results than Eigenface with SVM. The same story holds for Fisherface with KNN, and Eigenface with KNN. This suggests that irrespective of classifier, Fisherface outperform Eigenface in terms of accuracy of recognition. Comparing the libraries, Scikit-learn implementations of Fisherface with SVM and Eigenface with SVM, outperform the OpenCV implementation of the same algorithms. This means scikit-learn implementation produces better results than its counterpart, the OpenCV.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125722386","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}

{"title":"Android Based Forest Fire Monitoring System","authors":"Reza Andrea, Ade Irma Wahyuni, Nur Fadila Safitri, Supryani","doi":"10.5815/ijieeb.2022.03.01","DOIUrl":"https://doi.org/10.5815/ijieeb.2022.03.01","url":null,"abstract":": Forest fires are burning areas of forest or land in large or small areas. Forest fires are often uncontrollable and when this happens, the fire will burn anything nearby for two reasons, one of which is burning naturally or burning caused by humans. One of the man-made fires deliberate by humans is the burning used by the community around the forest to open or clear agricultural or plantation land. The community feels that clearing land with fire does not require a long time and is more economical, if the use of fire is not used properly it can cause the forest to burn. Forest fires in Riau area are still classified as minimal or fires rarely occur. However, the community is at least aware of the forest fires in Riau due to a lack of media information about where the fire hotspots occurred. With this application, it can help the public to better know where the hotspots have been burned. This application consists of 2 levels of access, namely: admin and user. For admins and users, the manufacturing process uses the Android Studio application with Java as the programming language, this application uses Firebase as its database to find out the location of fire hotspots using the Google Maps API. Testing on the application is created to test whether the application has run as desired. Test results using white box testing","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126248211","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}

{"title":"Aesthetic QR: Approaches for Beautified, Fast Decoding, and Secured QR Codes","authors":"J. Rathi, Surender Kumar Grewal","doi":"10.5815/ijieeb.2022.03.02","DOIUrl":"https://doi.org/10.5815/ijieeb.2022.03.02","url":null,"abstract":": A QR code is a two-dimensional code that encodes data but it is unattractive and not ideal. QR codes have been applied in item identifications, publicity campaigns, advertisements, product promotions, etc. so they need to be visually good in appearance. Visually good and decorated QR codes degrade the decoding rate as compared to the standard QR code decoding rate. As they are used for mobile payments and logins some security must be there. For this many researchers have contributed using various approaches to beautify QR codes with high decoding accuracy and to make them secure. This paper aims towards the study of works carried out in the direction of beautification of QR codes using blended type techniques and artificial intelligence based techniques by different authors. The present state of prior strategies, methods, and major features used are described in this survey.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126563487","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}

{"title":"Investigation of Machine Learning Algorithms for Network Intrusion Detection","authors":"Shadman Latif, Faria Farzana Dola, MD. Mahir Afsar, Ishrat Jahan Esha, Dipannyta Nandi","doi":"10.5815/ijieeb.2022.02.01","DOIUrl":"https://doi.org/10.5815/ijieeb.2022.02.01","url":null,"abstract":"","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116412838","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}