International Journal of Information Engineering and Electronic Business (IJIEEB)

ISSN: 2074-9023 (Print)

ISSN: 2074-9031 (Online)

DOI: https://doi.org/10.5815/ijieeb

Website: https://www.mecs-press.org/ijieeb

Published By: MECS Press

Frequency: 6 issues per year

Number(s) Available: 78

ICV: 2014 8.19

(IJIEEB) in Google Scholar Citations / h5-index

IJIEEB is committed to bridge the theory and practice of information engineering and electronic business. From innovative ideas to specific algorithms and full system implementations, IJIEEB publishes original, peer-reviewed, and high quality articles in the areas of information engineering and electronic business. IJIEEB is a well-indexed scholarly journal and is indispensable reading and references for people working at the cutting edge of information engineering and electronic business applications.

 

IJIEEB has been abstracted or indexed by several world class databases: Google Scholar, Microsoft Academic Search, CrossRef, Baidu Wenku, IndexCopernicus, IET Inspec, EBSCO, VINITI, JournalSeek, ULRICH's Periodicals Directory, WorldCat, Scirus, Academic Journals Database, Stanford University Libraries, Cornell University Library, UniSA Library, CNKI Scholar, ProQuest, J-Gate, ZDB, BASE, OhioLINK, iThenticate, Open Access Articles, Open Science Directory, National Science Library of Chinese Academy of Sciences, The HKU Scholars Hub, etc..

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IJIEEB Vol. 16, No. 1, Feb. 2024

REGULAR PAPERS

Spatio-temporal Dynamic Evolution and Inhibiting Factor Analysis of TFEE in the CCTC Economic Circle

By Shiyi Zeng Liyun Su Tong Zhang Junjie Peng Xiangjing Li Feng Zhao Dongyang Qiu

DOI: https://doi.org/10.5815/ijieeb.2024.01.01, Pub. Date: 8 Feb. 2024

Accounting for 30.8% of the total economic volume of the western region by 2021, the "fourth pole" of China's economic development is progressively being established as the Chengdu-Chongqing twin-city(CCTC) Zone. Therefore, increasing Total Factor Energy Efficiency (TFEE) and reducing the disparities in energy efficiency amongst cities in the area are important for the economic development of the CCTC Economic Zone. Accordingly, this study employs an output-oriented, super-efficient DEA model with constant returns to scale to measure the total factor energy efficiency of 16 prefecture-level cities in the CCTC economic circle from 2006 to 2020. It also examines the spatial distribution and variation patterns of each city's prefecture-level total factor energy efficiency. Then, spatial autocorrelation and random forest were used to explore the interrelationship among the indicators of the drivers, and the variables were screened according to Gini importance, finally, PCA-GWR models and spatial panel regression models were constructed to dissect the key drivers. The empirical findings indicate that: (1) the average energy efficiency of Chongqing and Chengdu is only 0.708 and 0.788, and the overall efficiency shows a steady increase from 2009 to 2018. (2) The spatial distribution is mainly as follows: H-H agglomerations are distributed in the northeastern cities of the CCTC Economic Zone, L-L agglomerations are distributed in the south, H-L agglomerations and L-H agglomerations are distributed in the north-central part of Chengdu-Chongqing Economic Zone. (3) Industrial structure, population structure, and governmental behavior have significant effects on energy efficiency, with a population mortality rate as the inhibiting factor and the proportion of tertiary industry and policy behavior as the contributing factors. Based on the empirical findings, it is recommended to accelerate the industrial structure adjustment, implement the CCTC economic circle's core cities' target of energy-saving, and build a "community" bridge to improve energy efficiency and promote economic development.

[...] Read more.
Evolution of NFT Marketplace for Influencing Buying Behaviour in Sportswear Industry

By Medha Prabhakar Suman De

DOI: https://doi.org/10.5815/ijieeb.2024.01.02, Pub. Date: 8 Feb. 2024

The advent of metaverses, NFTs, blockchain, and similar growth topics influence the future of businesses, and the industry is looking at a transformation. SAP has been a pioneer in innovation and enables some of the best businesses around the World. With its own Cloud infrastructure in place and expertise in areas of Blockchain etc., it’s time to take a leap and give the existing and new customers an edge over the others. The solution proposed here is to address how the future could look for retail, for example, in sportswear. It is possible to provide an NFT Marketplace for sportswear manufacturers like Nike, where the subscribers can sell their NFTs (digital shoes, wearables, etc.) or buy the ones available in the marketplace with the help of Crypto Wallets/Payments, etc. The idea proposed in this paper helps sellers’ who design products to have a review process, where the company can evaluate if they want to introduce those products in their physical form. Or, if a digital product sells well in the NFT marketplace, the company can decide to make a physical launch of the product as well, sharing some royalty.

[...] Read more.
A Novel Approach to Customer Segmentation for Optimal Clustering Accuracy

By Hammed Mudasiru Soyemi Jumoke

DOI: https://doi.org/10.5815/ijieeb.2024.01.03, Pub. Date: 8 Feb. 2024

Customer segmentation is not only limited to the identification of user groups but searching and determining the attitude of individual customer groups toward a particular product or service aside helping organization in developing better marketing strategies. Many studies have proposed different techniques for customer segmentation, but some of these studies failed to examine individual customer’s needs in the cluster. In a customer segmentation, when customers are grouped into various cluster based on their common needs, there may be customers that have other needs that differ from the general needs of the group. In a situation where the needs of individual were not captured, organizations may find it difficult to control the rendering of their services. The aim of this study is to extract the individual customer’ needs to enhance organizations’ services that meet the needs of customers, as well as increase organization profits. This study, therefore, proposes the use of an associative rules mining algorithm augmented with assignment optimization to properly examine the needs of individual customers in the group. This approach enhances the cross-segmentation of customers for better marketing strategies and the assignment technique also improved the segmentation processing speed. The degree of accuracy of the system developed was tested with about 9,500 customers’ dataset that was obtained from goggle multi category online store dataset. Both customer transaction history dataset and customer purchasing behavior dataset were obtained for segmentation which achieved 94.5% customer segmentation accuracy. The implementation was done using Python programming language.

[...] Read more.
A Proposed Model for Vehicle Registration Using Blockchain

By Md. Zawad Hossain Rifat Md. Shakil Rifat Md. Iftakhar Hasan F. A. Zidan Dip Nandi

DOI: https://doi.org/10.5815/ijieeb.2024.01.04, Pub. Date: 8 Feb. 2024

Systems for registering vehicles are essential for keeping track of ownership changes. However, severe flaws in the current systems permit vehicles that have been stolen or illegally sold to be registered. Inefficient verification techniques, drawn-out administrative processes, and dishonest employees cause these problems. This paper introduces a transparent system to prevent denial, alteration, or unauthorized manipulation. The proposed method employs hybrid blockchain architecture, distinguishing between confidential and non-confidential data. Personal information is stored privately, while vehicle-related data is maintained as public information. The adoption of blockchain technology is driven by its robust security features, transparency, and traceability, as well as its immutability and ability to handle many users effectively.

[...] Read more.
The Philosophy of Smart Learning Using the Approach Thomas Kuhn Paradigm Shift

By Azizah. Zakiah Ary Setijadi Prihatmanto Dimitri Mahayana Reza Andrea

DOI: https://doi.org/10.5815/ijieeb.2024.01.05, Pub. Date: 8 Feb. 2024

The impact of technology must be addressed by the educational methods themselves and their perspectives in the new paradigm of citizenship in this intelligent environment. Learning environments have changed dramatically in the last 50 years, in large part due to information and communications technologies. The study uses a qualitative descriptive. Thomas S. Kuhn, fully Thomas Samuel Kuhn, (born 18 July 1922 in Cincinnati, Ohio, USA-17 June 1996 in Cambridge, Massachusetts), best known for The Structure of the Scientific. Kuhn explains that in every scientific discipline, there are some identified and natural phenomena that are then investigated experimentally and explained theoretically. Pre-paradigm as the basis of normal science, the formation of smart learning is started when primitive cave. Normal science for learning is a traditional teaching method, teaching takes place within the four walls of a classroom. Anomalies are surprising discoveries that cannot be defined through a paradigm, together with discoveries of troubles that cannot be solved through a paradigm. The lock down following the COVID-19 pandemic has made us extrude in a single day from mastering withinside the bodily international to mastering withinside the virtual one. Model crises are the third phase of the Kuhn cycle. Triggering the Model Crisis movement Blended learning can be the brand new normal – “Blended learning”. The smart learning cognizance and traits has emerged as a brand-new fashion withinside the international academic field. different smart technologies, consisting of cloud computing, learning analytics, huge information, Internet of things (IoT) and wearable generation.

[...] Read more.
PARADAJuan: A Web-Based Parking Lot Management System Designed and Developed Using Multi-Paradigm Programming Languages

By Ruth G. Luciano Angelito I. Cunanan Romualdo P. Mariano Edrain Nico A. Tavares Mark Reniel L. Jacinto

DOI: https://doi.org/10.5815/ijieeb.2023.03.05, Pub. Date: 8 Jun. 2023

This study aims to develop a web-based parking lot management system using multi-paradigm programming languages. This application is designed to help parking lot owners in monitoring the ins and outs of the parking spaces including the income they generated from it. The researchers used multi-paradigm programming languages where more than one programming paradigm was employed. This allows them to use the most suitable programming style and associated language constructs to build the system. Specifically, the researchers made use of the following languages in creating the system: HTML5, CSS3, JavaScript, PHP, MySQL, and Flutter. The study utilized developmental research methods in which the product-development process is analyzed and described, and the final product is evaluated. As a result, the creation of the system has been successful.

[...] Read more.
Diabetes Prediction: A Deep Learning Approach

By Safial Islam Ayon

DOI: https://doi.org/10.5815/ijieeb.2019.02.03, Pub. Date: 8 Mar. 2019

Nowadays, Diabetes is one of the most common and severe diseases in Bangladesh as well as all over the world. It is not only harmful to the blood but also causes different kinds of diseases like blindness, renal disease, kidney problem, heart diseases etc. that causes a lot of death per year. So, it badly needs to develop a system that can effectively diagnose the diabetes patients using medical details. We propose a strategy for the diagnosis of diabetes using deep neural network by training its attributes in five and ten-fold cross-validation fashion. The Pima Indian Diabetes (PID) data set is retrieved from the UCI machine learning repository database. The results on PID dataset demonstrate that deep learning approach design an auspicious system for the prediction of diabetes with prediction accuracy of 98.35%, F1 score of 98, and MCC of 97 for five-fold cross-validation. Additionally, accuracy of 97.11%, sensitivity of 96.25%, and specificity of 98.80% are obtained for ten-fold cross-validation. The experimental results exhibit that the proposed system provides promising results in case of five-fold cross-validation.

[...] Read more.
Sentiment Analysis of Review Datasets Using Naïve Bayes‘ and K-NN Classifier

By Lopamudra Dey Sanjay Chakraborty Anuraag Biswas Beepa Bose Sweta Tiwari

DOI: https://doi.org/10.5815/ijieeb.2016.04.07, Pub. Date: 8 Jul. 2016

The advent of Web 2.0 has led to an increase in the amount of sentimental content available in the Web. Such content is often found in social media web sites in the form of movie or product reviews, user comments, testimonials, messages in discussion forums etc. Timely discovery of the sentimental or opinionated web content has a number of advantages, the most important of all being monetization. Understanding of the sentiments of human masses towards different entities and products enables better services for contextual advertisements, recommendation systems and analysis of market trends. The focus of our project is sentiment focussed web crawling framework to facilitate the quick discovery of sentimental contents of movie reviews and hotel reviews and analysis of the same. We use statistical methods to capture elements of subjective style and the sentence polarity. The paper elaborately discusses two supervised machine learning algorithms: K-Nearest Neighbour(K-NN) and Naïve Bayes‘ and compares their overall accuracy, precisions as well as recall values. It was seen that in case of movie reviews Naïve Bayes‘ gave far better results than K-NN but for hotel reviews these algorithms gave lesser, almost same accuracies.

[...] Read more.
Binary vs. Multiclass Sentiment Classification for Bangla E-commerce Product Reviews: A Comparative Analysis of Machine Learning Models

By Shakib Sadat Shanto Zishan Ahmed Nisma Hossain Auditi Roy Akinul Islam Jony

DOI: https://doi.org/10.5815/ijieeb.2023.06.04, Pub. Date: 8 Dec. 2023

Sentiment analysis, the process of determining the emotional tone of a text, is essential for comprehending user opinions and preferences. Unfortunately, the majority of research on sentiment analysis has focused on reviews written in English, leaving a void in the study of reviews written in other languages. This research focuses on the understudied topic of sentiment analysis of Bangla-language product reviews. The objective of this study is to compare the performance of machine learning models for binary and multiclass sentiment classification in the Bangla language in order to gain a deeper understanding of user sentiments regarding e-commerce product reviews. Creating a dataset of approximately one thousand Bangla product reviews from the e-commerce website 'Daraz', we classified sentiments using a variety of machine learning algorithms and natural language processing (NLP) feature extraction techniques such as TF-IDF, Count Vectorizer with N-gram methods. The overall performance of machine learning models for multiclass sentiment classification was lower than binary class sentiment classification. In multiclass sentiment classification, Logistic Regression with bigram count vectorizer achieved the maximum accuracy of 82.64%, while Random Forest with unigram TF-IDF vectorizer achieved the highest accuracy of 94.44%. Our proposed system outperforms previous multiclass sentiment classification techniques by a fine margin.

[...] Read more.
A Survey on Hybrid Recommendation Engine for Businesses and Users

By Spurthy Mutturaj Shwetha B Sangeetha P Shivani Beldale Sahana V

DOI: https://doi.org/10.5815/ijieeb.2021.03.03, Pub. Date: 8 Jun. 2021

Various techniques have been used over the years to implement recommendation systems. In this research, we have analyzed several papers and majority of them have used collaborative and content-based filtering techniques to implement recommender system. To build a recommender system, we require abundant amount of data which comprises of a spectrum of reviews and sentiments from all user domains. Websites like Yelp and TripAdvisor, allow users to post reviews for various businesses, products and services. In this work we have two objectives 1) Recommend restaurants to user based on user reviews in Yelp dataset and 2) Suggest improvements to business based on user reviews. In the first scenario, we will use the comments and ratings available in the Yelp dataset to generate restaurant recommendations and personalize them with user profile data. In the second scenario, we intend to suggest improvements to businesses based on various user reviews and provide them with a ranked list of predefined parameters to help them understand where they stand with respect to their competitors and where they should improve to do better. For both scenarios, we will perform two major steps to achieve our objective 1) Sentiment Analysis and 2) Content Based Recommendation. The first step gives us the - sentiment, quality, subject of discussion relevant to product and in the second step we use the outcomes of first step for personalizing and ranking our results. We came across Gensim and Latent Dirichlet Allocation which seemed to be interesting and was tailored to our requirements. In the yelp dataset, user comments are a mixture of various topics which are extracted by the algorithm (LDA) to provide accurate recommendation for all the users. A prototype of this method provided us with 93% accuracy.

[...] Read more.
Cybercrimes during COVID -19 Pandemic

By Raghad Khweiled Mahmoud Jazzar Derar Eleyan

DOI: https://doi.org/10.5815/ijieeb.2021.02.01, Pub. Date: 8 Apr. 2021

COVID-19 pandemic has changed the lifestyle of all aspects of life. These circumstances have created new patterns in lifestyle that people had to deal with. As such, full and direct dependence on the use of the unsafe Internet network in running all aspects of life. As example, many organizations started officially working through the Internet, students moved to e-education, online shopping increased, and more. These conditions have created a fertile environment for cybercriminals to grow their activity and exploit the pressures that affected human psychology to increase their attack success. The purpose of this paper is to analyze the data collected from global online fraud and cybersecurity service companies to demonstrate on how cybercrimes increased during the COVID-19 epidemic. The significance and value of this research is to highlight by evident on how criminals exploit crisis, and for the need to develop strategies and to enhance user awareness for better detection and prevention of future cybercrimes.

[...] Read more.
A Review of Applications of Linear Programming to Optimize Agricultural Solutions

By Alanoud Alotaibi Farrukh Nadeem

DOI: https://doi.org/10.5815/ijieeb.2021.02.02, Pub. Date: 8 Apr. 2021

Quantitative methods help farmers plan and make decisions. An apt example of these methods is the linear programming (LP) model. These methods acknowledge the importance of economizing on available resources among them being water supply, labor, and fertilizers. It is through this economizing that farmers maximize their profit. The significance of linear programming is to provide a solution to the existing real-world problems through the evaluation of existing resources and the provision of relevant solutions. This research studies various LP applications including feed mix, crop pattern and rotation plan, irrigation water, and product transformation; that have the main role to enhance various facets of the agriculture sector. The paper will be a review that will probe into the applications of the LP model and it will also highlight the various tools that are central to analyzing LP model results. The review will culminate in a discussion on the different approaches that help optimize agricultural solutions.

[...] Read more.
Design and Development Employee Payroll Information Systems in Indeks Media Teknologi Inc.

By Ita Arfyanti Rajiansyah

DOI: https://doi.org/10.5815/ijieeb.2021.03.01, Pub. Date: 8 Jun. 2021

The research was conducted to be able to develop an employment information system at Indeks Media Teknologi Inc. which later if this system is successful can help the company tasks when making employee payroll for each period. Research is carried out at Indeks Media Teknologi Inc.. The method of collecting data by interview asking questions related to the employee salary management system. By means of observation, namely making observations directly to the Indeks Media Teknologi Inc.. In this study, the system development method used is waterfall with the supporting software used are PHP and MySQL. The network topology used is a star topology. The results of this study are in the form of client-server based employee salary data management which can improve service and facilitate the provision of salaries for employees of Indeks Media Teknologi Inc..

[...] Read more.
Problems of Regulation and Prospective Development of E-commerce Systems in the Post-coronavirus Era

By Alovsat Garaja Aliyev

DOI: https://doi.org/10.5815/ijieeb.2022.06.02, Pub. Date: 8 Dec. 2022

The article examines the application of e-commerce systems and technologies that have a positive impact on the development of the economy of the post-coronavirus period and the formation of appropriate technical and technological infrastructure for it, as well as promising features and directions of e-commerce. The physical and virtual opportunities created by e-commerce technologies for buyers and sellers are explained. The advantages of e-commerce in the international economic space have been identified. The functions of e-business models in accordance with the commercial stages of enterprises are explained. It was noted that the development of ICT has accelerated the process of transition from traditional commerce to e-commerce, led to the emergence of new global trends in e-commerce. These innovations have raised the issue of the application of modern ICT in the development of e-commerce on the platform of the 4.0 Industrial Revolution. Taking into account these factors, the presented article discusses the application of modern technologies in e-commerce systems, such as 3D modeling, the Internet of Things, artificial intelligence, big data. Features of application and regulation mechanisms of E-commerce systems in real economic sectors, which have a direct stimulating effect on economic growth in Azerbaijan, have been studied. Recommendations were given for the modernization and use of e-commerce systems with the application of the latest ICT technologies.

[...] Read more.
E –Hospital Management & Hospital Information Systems – Changing Trends

By Premkumar Balaraman Kalpana Kosalram

DOI: https://doi.org/10.5815/ijieeb.2013.01.06, Pub. Date: 8 May 2013

The rapid growth in Information & Communication Technology (ICT), and the power of Internet has strongly impacted the business and service delivery models of today’s global environment. E-Hospital Management Systems provide the benefits of streamlined operations, enhanced administration & control, superior patient care, strict cost control and improved profitability. Globally accepted health care systems need to comply with Healthcare Insurance Portability and Accountability Act (HIPAA) standards of the US and that has become the norm of the Healthcare industry when it comes to medical records management and patient information privacy. The study is focused on understanding the performance indicators of Hospital information systems (HIS), summarizing the latest commonly agreed standards and protocols like Health Level Seven (HL7) standards for mutual message exchange, HIS components, etc… The study is qualitative and descriptive in nature and most of the data is based on secondary sources of survey data. To arrive at a conclusive idea of the larger picture on E- Hospital Management and Hospital information systems, existing survey data and specific successful case studies of HIS are considered in the study. With so many customized versions of E – hospital management solutions (E – HMS) and Hospital Information systems (HIS) available in the market, a generic module wise version of E – Hospital management system is charted out to give a clear understanding for researchers and industry experts. From the specific successful case studies analyzed in the study, the success factors and challenges faced in successful E-HMS implementation are highlighted. Some of the mandatory standards like HIPAA are discussed in detail for clarity on Healthcare system implementation requirements.

[...] Read more.
PARADAJuan: A Web-Based Parking Lot Management System Designed and Developed Using Multi-Paradigm Programming Languages

By Ruth G. Luciano Angelito I. Cunanan Romualdo P. Mariano Edrain Nico A. Tavares Mark Reniel L. Jacinto

DOI: https://doi.org/10.5815/ijieeb.2023.03.05, Pub. Date: 8 Jun. 2023

This study aims to develop a web-based parking lot management system using multi-paradigm programming languages. This application is designed to help parking lot owners in monitoring the ins and outs of the parking spaces including the income they generated from it. The researchers used multi-paradigm programming languages where more than one programming paradigm was employed. This allows them to use the most suitable programming style and associated language constructs to build the system. Specifically, the researchers made use of the following languages in creating the system: HTML5, CSS3, JavaScript, PHP, MySQL, and Flutter. The study utilized developmental research methods in which the product-development process is analyzed and described, and the final product is evaluated. As a result, the creation of the system has been successful.

[...] Read more.
Cybercrimes during COVID -19 Pandemic

By Raghad Khweiled Mahmoud Jazzar Derar Eleyan

DOI: https://doi.org/10.5815/ijieeb.2021.02.01, Pub. Date: 8 Apr. 2021

COVID-19 pandemic has changed the lifestyle of all aspects of life. These circumstances have created new patterns in lifestyle that people had to deal with. As such, full and direct dependence on the use of the unsafe Internet network in running all aspects of life. As example, many organizations started officially working through the Internet, students moved to e-education, online shopping increased, and more. These conditions have created a fertile environment for cybercriminals to grow their activity and exploit the pressures that affected human psychology to increase their attack success. The purpose of this paper is to analyze the data collected from global online fraud and cybersecurity service companies to demonstrate on how cybercrimes increased during the COVID-19 epidemic. The significance and value of this research is to highlight by evident on how criminals exploit crisis, and for the need to develop strategies and to enhance user awareness for better detection and prevention of future cybercrimes.

[...] Read more.
A Review of Applications of Linear Programming to Optimize Agricultural Solutions

By Alanoud Alotaibi Farrukh Nadeem

DOI: https://doi.org/10.5815/ijieeb.2021.02.02, Pub. Date: 8 Apr. 2021

Quantitative methods help farmers plan and make decisions. An apt example of these methods is the linear programming (LP) model. These methods acknowledge the importance of economizing on available resources among them being water supply, labor, and fertilizers. It is through this economizing that farmers maximize their profit. The significance of linear programming is to provide a solution to the existing real-world problems through the evaluation of existing resources and the provision of relevant solutions. This research studies various LP applications including feed mix, crop pattern and rotation plan, irrigation water, and product transformation; that have the main role to enhance various facets of the agriculture sector. The paper will be a review that will probe into the applications of the LP model and it will also highlight the various tools that are central to analyzing LP model results. The review will culminate in a discussion on the different approaches that help optimize agricultural solutions.

[...] Read more.
Design and Development Employee Payroll Information Systems in Indeks Media Teknologi Inc.

By Ita Arfyanti Rajiansyah

DOI: https://doi.org/10.5815/ijieeb.2021.03.01, Pub. Date: 8 Jun. 2021

The research was conducted to be able to develop an employment information system at Indeks Media Teknologi Inc. which later if this system is successful can help the company tasks when making employee payroll for each period. Research is carried out at Indeks Media Teknologi Inc.. The method of collecting data by interview asking questions related to the employee salary management system. By means of observation, namely making observations directly to the Indeks Media Teknologi Inc.. In this study, the system development method used is waterfall with the supporting software used are PHP and MySQL. The network topology used is a star topology. The results of this study are in the form of client-server based employee salary data management which can improve service and facilitate the provision of salaries for employees of Indeks Media Teknologi Inc..

[...] Read more.
Problems of Regulation and Prospective Development of E-commerce Systems in the Post-coronavirus Era

By Alovsat Garaja Aliyev

DOI: https://doi.org/10.5815/ijieeb.2022.06.02, Pub. Date: 8 Dec. 2022

The article examines the application of e-commerce systems and technologies that have a positive impact on the development of the economy of the post-coronavirus period and the formation of appropriate technical and technological infrastructure for it, as well as promising features and directions of e-commerce. The physical and virtual opportunities created by e-commerce technologies for buyers and sellers are explained. The advantages of e-commerce in the international economic space have been identified. The functions of e-business models in accordance with the commercial stages of enterprises are explained. It was noted that the development of ICT has accelerated the process of transition from traditional commerce to e-commerce, led to the emergence of new global trends in e-commerce. These innovations have raised the issue of the application of modern ICT in the development of e-commerce on the platform of the 4.0 Industrial Revolution. Taking into account these factors, the presented article discusses the application of modern technologies in e-commerce systems, such as 3D modeling, the Internet of Things, artificial intelligence, big data. Features of application and regulation mechanisms of E-commerce systems in real economic sectors, which have a direct stimulating effect on economic growth in Azerbaijan, have been studied. Recommendations were given for the modernization and use of e-commerce systems with the application of the latest ICT technologies.

[...] Read more.
Developing Smart Conversation Agent ECOM-BOT for Ecommerce Applications using Deep Learning and Pattern Matching

By Maria Zafar

DOI: https://doi.org/10.5815/ijieeb.2023.02.01, Pub. Date: 8 Apr. 2023

Chatbots are a technological leap in conversational services, generating messages to users either following a set of rules to respond based on recognized patterns or training themselves from previous data or conversations. The primary goal is to enable a device to communicate with a user upon receiving natural language user requests using artificial intelligence and machine learning to generate automated responses. Technology is progressively catering to the questions, both in academic and business contexts, such as situations that require agents to investigate the cause of customer dissatisfaction or to recommend products and services. Significance of this research is to reduce the human dependency and improving customer support by providing close to human natural responses using pattern matching and deep learning on the custom-made data. The main objective of this work is to (a) study the existing literature on cutting-edge technologies in chatbot development in terms of research trends, legacy components, techniques, datasets, and domains specifically in e-commerce and (b) to develop a product that fill some of the gaps/missing functionality identified in current frameworks. We have achieved the following, (a) generated small yet generic dataset, which can be used for all types of products, (b) the intents are identified accurately by the bot using deep learning, whenever a user query.

[...] Read more.
Integrating Asymmetric Cryptographic Digital Wallet for Online Services in Nigeria

By Theresa Olubukola Omodunbi Ayomide S. Akindutire Tolulope Moyosore Awoyelu Rhoda N. Ikono Ishaya P. Gambo

DOI: https://doi.org/10.5815/ijieeb.2023.03.03, Pub. Date: 8 Jun. 2023

Online stores have integrated one or more payment gateways on their website to facilitate the transaction of goods and services. In the Nigerian case, many physical stores are moving online. However, there is a gap in the payment methods which have slowed down business due to limited payment methods, charges incurred on gateways, and insecurity of websites. This paper is tailored towards the security of online transactions, reduced credit card usage and yet accentuation of cashless policy in Nigeria. Inline with the above stated, this paper proposed a secured digital wallet using cryptography to proffer a solution to exposing confidential information to different sites and curb fraudulent actions. By means of qualitative and quantitative research approach, data on user transactions were collected through google survey forms on how often they make transactions, 91.3% shop online but only 48.1% shop very often and 55% of sample questioned security of online payment, from the quantitative facts above, a larger percent of people who uses financial tools in their shopping activities have more security concern which this study solely aim at. In response to the corncern in the preceeding clauses, a mathematical model was formulated to generate keys for the wallet using an asymmetric cryptography scheme to improve the security process while using an online service. Furthermore, wallet referred in this paper uses the fund preload techniques which limits how often users needs to swipe their credit card for an handshake with the commercial banks, the end goal thus strengthen the Nigeria cashless policy. This paper generated encryption and decryption keys from the extension of the Euclid theorem and implemented a system that can generate keys for fund and asset transfer with the crypto service. The system was tested using unit testing and alpha and beta testing to assert the aims of the research. The result showed that digital wallet usage reduces the exposure of sensitive information on funds and allows using the account on different sites.

[...] Read more.
Development E-commerce Information System of Agriculture in Samarinda

By Asep Nurhuda Aulia Khoirunnita Arika Rusli Dimas K. Umami Sri Handayani

DOI: https://doi.org/10.5815/ijieeb.2022.06.05, Pub. Date: 8 Dec. 2022

Samarinda village is a village that is predominantly working as a farmer and has a wide range of agricultural products, in addition to the abundance of agricultural products there is a problem of marketing of agricultural products that do not have access to sell their agricultural products. Authors conducted research in order to increase sales and expand marketing in the Village Samarinda through sales system-based Business to the Business and method development using the Research and Development. The results obtained in the form of a web site that can be accessed to serve online sales transaction so that it can increase sales in the village Samarinda.

[...] Read more.
A Blockchain based Framework for Property Registration System in E-Governance

By Siddhartha Sen Sripati Mukhopadhyay Sunil Karforma

DOI: https://doi.org/10.5815/ijieeb.2021.04.03, Pub. Date: 8 Aug. 2021

In recent years, the most cutting edges and promising technology emerged is Blockchain. It has huge potential to impact various industries. The append-only distributed ledger technology (DLT) and the consensus mechanism of Blockchain can also change the dimension of E-Governance. The Electronic Property Record (EPR) systems of government have challenges like data security, integrity, secure storage of data and automated service delivery. In this paper, we discuss how Smart Contract based Blockchain technology can effectively be used to address the challenges of EPR System over the existing available systems. We propose a Smart Contract based permissioned blockchain framework which is an innovative approach, especially in the Electronic Property Registration domain of E-Governance in India. The objective of our proposed framework is firstly to implement Smart Contract solving the security problems like confidentiality, integrity, authentication, and secondly to ensure secure storage of electronic records by defining access rules for the stakeholders of the proposed framework. Moreover, we address the issues of single-point-of-failure, data inter-operability between the organizations involved for sharing and verification of property information among various stakeholders.

[...] Read more.
Finite State Machine Model in Jungle Adventure Game an Introduction to Survival Skills

By Reza Andrea Sefty Wijayanti Nursobah

DOI: https://doi.org/10.5815/ijieeb.2021.04.05, Pub. Date: 8 Aug. 2021

Game is one of the big industries today and can be an alternative entertainment and fun for children and adults. Game can be used as an interactive and interesting learning media. One of the platform game development methods is the Finite State Machine (FSM). This method is used to adjust the behavior of the NPC (Non-Player Character) to guide the player through the game. This study developed an Android-based "Jungle Adventure" game with interesting gameplay to make the learning process very enjoyable so that the player is expected to be able to play while learning. Combination NPC with FSM will make that responses under certain conditions, and NPC will accompany player like a friend survival.

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