E-commerce Applications Research Articles

IMPLEMENTASI API RESTFUL DENGAN JSON WEB TOKEN (JWT) PADA APLIKASI E-COMMERCE THRIFTY SHOP UNTUK OTENTIKASI DAN OTORISASI PENGGUNA

User authentication and authorization play a vital role in securing sensitive data within applications. E-commerce applications, in particular, require robust authentication and authorization methods to safeguard the confidentiality and integrity of exchanged data. JSON Web Token (JWT) has emerged as a popular authentication mechanism for securing data transmission over networks. This paper explores the implementation of JWT in a RESTful API to achieve user authentication and authorization in an E-commerce application. The objective of this study is to analyze the implementation of JWT in a RESTful API for user authentication and authorization within an E-commerce context. The detailed implementation of JWT in the Thrifty Shop application is discussed, encompassing its utilization for user authentication and authorization. Additionally, the benefits derived from employing JWT in the Thrifty Shop E-commerce application are explored. In conclusion, the implementation of JSON Web Token (JWT) in a RESTful API proves to be an effective approach for user authentication and authorization in E-commerce applications. The use of JWT ensures that only authenticated users gain access to sensitive data, thus enhancing the security of the Thrifty Shop E-commerce application. This implementation can serve as a model for other E-commerce applications seeking to bolster their security measures.

APLIKASI E-COMMERCE PAKAIAN BERBASIS ANDROID MENGGUNAKAN METODE PROTOTYPE

E-commerce is a profitable opportunity for SMEs, particularly in the sale of household goods like clothing. SMEs' growth in e-commerce has been driven by theCovid-19 pandemic, leading to widespread adoption ofe-commerce systems. OvintLevint, a clothing store thatstarted during the pandemic, still relies on traditionalmarketing methods like word-of-mouthrecommendations. This hampers their growth andcompetitiveness against well-known brands, requiringsignificant investment and time to overcome. Currently, OvintLevint accepts both cash and non-cashtransactions, including transfers and WhatsApp-basedpayment proofs. However, there are frequent instancesof lost transaction receipts and income recording errors. To facilitate customers and OvintLevint, an Android system is being developed for online product purchases. Equipped with a payment gateway, this system aims tosimplify customer transactions. The development usesprototyping with the Flutter framework (Dart andjQuery) for frontend, and Laravel framework (PHP andBootstrap) for backend and web administrationservices. Research findings suggest that developing a clothing e-commerce application can streamline theordering process, transaction data processing, andenhance marketing efforts.

PENGARUH PROMOSI DAN KEPERCAYAAN KONSUMEN TERHADAP KEPUTUSAN PEMBELIAN PADA PENGGUNA APLIKASI E-COMMERCE TOKOPEDIA

The purpose of this study was to test the Promotion (X1) and Consumer Trust (X2) variables on Purchase Decisions (Y) in the Tokopedia E-Commerce application in the Management student study program at STIE Malangkucecwara in the 2022/2023 academic year. The type of research used in this research is quantitative research with explanatory methods. The population of this study was 163 students with a sample of 62 students. The analytical method used in this study used the IBM SPSS Statistics 23 application. The results showed that the Promotion variable (X1) had a positive effect of 5,600 and the Consumer Trust Variable (X2) had a positive effect of 4,218. From the results of this study, it can be concluded that Promotion and Consumer Trust influence purchasing decisions.

The Culture Policy for MSME in Digital and Their Prospects

The current era of digitalization forces entrepreneurs to change their marketing strategy from direct sales to online sales, either in whole or in part. However, the transition is not easy for micro, small, and medium-sized enterprises () because of the limitations of knowledge and facilities they have, so the process goes gradually. The study aims to find out the contribution of online marketing for micro-small enterprises to the resilience of enterprises during the restrictions that have lasted for two years. The study is also a policy recommendation against some digital policy directions against MSME by the Ministry of Informatics and Communications of the Republic of Indonesia. The research object is a member of ISMEA (Indonesia Small Medium Enterprises Association), which meets the business age criteria of more than 2 years, actively performs hybrid sales (online and offline), and is able to survive during that time. Research methods are carried out qualitatively through descriptive, participatory observation. In-depth interviews were conducted with informants selected using snowball techniques. The results of the research found that online marketing on MSME is carried out through independent web hosting or through marketplace or e-commerce applications available or be used simultaneously. Self-marketing has the advantage that it does not require commission fees from the other party, so the entire profit becomes the seller's. However, it also has a weakness with its limited market accessibility as it requires costs to promote the site. While marketing through the marketplace has the advantages of the wide range of the market and the limitation of the promotion of the applicator, it also has disadvantages such as commission fees for applicators and price competition with providers of similar products or services in the same application or other applications. The conclusion obtained is that MSME is more familiar with using social media compared to the marketplace, in addition to the fact that web hosting is rarely used, even though it is free. The stages providing an appearance in the application require their own skills. While the direction of the marketing digitization policy on MSME that has been running for this time has begun to form a culture of marketing digitalization for micro and small enterprises, especially the use of the application for product delivery.

Designing E-Commerce Applications for Mobile-Based Audioo Technics Stores

It seems that existing technological advances have not been utilized equally by business actors, one of which is the Audi Technics Store. Audio Technics Shop is an electronics shop that sells various audio-based tools. In its marketing activities, this shop still uses a conventional marketing system which is carried out directly through the shop. The obstacle faced is the difficulty of reaching a wider range of customers. This research aims to design a mobile-based AudioTech e-commerce application that can be accessed online by customers at the Audio Technics Store. This research produces a conclusion that the mobile-based e-commerce application designed for the Audio Technics Store can help product marketing and product sales activities online and more widely.

The Influence of User Trust and Experience On User Satisfaction Of E-Commerce Applications During Transactions in Mini Markets Using Delon and McLean Method

In order to increase net advantages for users of e-commerce applications in minimarkets, this research attempts to quantify the degree and influence of experience and trust on user pleasure. This research employs a quantitative methodology. Direct observations of e-commerce applications, literature reviews, and the online distribution of Google Forms-assisted questionnaires to application users via social media were the methods used to collect data. Both statistical and demographic analysis were used to analyze the data for this study. Users of e-commerce applications make up the study's population. Purposive sampling was the method employed for sampling. With a total of 180 samples, the non-probability sampling approach makes use of the PLS-SEM theory. The majority of respondents expressed high levels of satisfaction with the e-commerce application in minimarkets, according to the data processing results. Because perceived utilitarian's path coefficient and t-test values are below the threshold, the analysis of the aspects of user experience represented by perceived hedonic and perceived utilitarian shows that perceived hedonic has a significant effect on user satisfaction while perceived utilitarian does not. The user happiness variable is significantly impacted by the trust variable. Perceived hedonic value, trust, and ease of use are factors that significantly impact customer satisfaction with e-commerce applications in minimarkets.

Nilai Tanda dan Nilai Simbol Pada E-Commerce Shopee: Perilaku Konsumsi Mahasiswa FISIP ULM

The era of globalization, which has increased the level of technological development, has had an impact on the consumption patterns of FISIP ULM students due to the emergence of the e-commerce application, Shopee. This study aims to find out the symbolic value that exists in e-commerce Shopee so that it raises consumption behavior in FISIP ULM students. This type of research uses qualitative research methods with a descriptive approach which will be formulated using the theories of postmodern society, consumer society and hyperreality from Jean Baudrillard. The time of the research was carried out for 3 months with data collection and data analysis carried out. Data collection techniques were carried out by observation, interviews, and also literature studies. The data analysis technique uses the Miles and Huberman interactive model with the following stages: 1) data reduction, 2) data presentation, and 3) drawing conclusions. The results of this study show that the value of the signs and symbols on Shopee greatly influences student shopping interest. Free shipping vouchers are the most popular because they can reduce shipping costs. Apart from that, the large amount of cashback and other facilities, such as: ShopeeFood, ShopeePay, ShopeePay Later, to Shopee Games makes shopee users, especially FISIP ULM students, even more tempted to shop as they wish with this e-commerce shopee. The advice for FISIP ULM students is not to be tempted by symbolic value by always prioritizing needs over wants, being careful and reconfirming the items purchased from the seller.

Analysis of The Influence of Hedonic Digital Lifestyle on Consumptive E-Shopping Behavior of Generation Z Through E-Commerce Applications

This research aims to analyze the influence of a hedonic lifestyle on consumptive behavior in purchasing clothes via e-commerce among students. The author uses a quantitative research approach as a procedural step in this research. The author uses the Estok Navitte Cowan formula to determine the sample used. For the sampling process, the author used a non-probability sampling technique. The next technique used was quota sampling, with a total of 30 students. The author uses surveys as a way to collect data and chooses questionnaires as a tool to collect the necessary data from research subjects. The Likert scale was used in this research. Researchers use Google Forms as a tool for collecting data for research. The author uses the data analysis method of recall and data categorization. Based on the research results, it shows that the hedonic lifestyle adopted by respondents is partially in the high category. Both aspects of activities, interests, and opinions related to the research object can help construct a hedonistic lifestyle. In this research, aspects were found that could construct a dominant hedonic lifestyle, such as shopping, being interested in fashion, and thinking about products. Consumer behavior in purchasing clothes in e-commerce carried out by respondents is in the high category. The types of consumer behavior in the high category are impulsive purchases and irrational purchases. These two types of consumer behavior can occur because respondents look for symbols of satisfaction and pleasure attached to clothing in e-commerce. However, the level of waste in purchasing clothes through e-commerce is low.

Evolving Book Sales: From Scrolls to Progressive Web Apps in Online Bookstores

From traditional physical bookstores to the digital realm of online bookshops, business owners continuously adapt to meet their customers' evolving demands. Technological progress, occurring at a relentless pace, has instigated a profound transformation in the landscape of e-commerce. Google's creation of Progressive Web Applications (PWAs) has triggered a revolution in mobile development. This research endeavor, employing online bookstores as a case study, presents an architectural framework for PWAs that holds relevance for a wide array of e-commerce applications. The framework emerged through a meticulous review of existing models in the online bookstore domain, pinpointing gaps that serve as strengths in the proposed model. Additionally, the study critically examines the emerging PWA technology to solidify the foundation of the proposed framework. The adoption of this model holds the promise of mitigating contemporary challenges in the mobile development sphere, particularly the issue of code fragmentation. Nevertheless, further exploration of payment gateways and modules is required to fortify the model's comprehensiveness and effectiveness.

Leveraging Digital Advertising to Enhance Online Marketing Strategies: A Research Perspective

The growth of the internet is altering business practices, notably those in retail establishments where company models use electronic commerce to handle transactions. This study's goal is to investigate the best practices for online advertising implementation and capturing consumer interest in purchasing. Additionally, this study used a descriptive survey method with verification. With a sample size of 96 customers, the population in this study consists of Lazada users in the city of Bandung. The results demonstrate that the use of online advertising has a direct influence on customers' intent to purchase through the Lazada website. The rapid development of information technology has had an impact on community in supporting various business activities, both large and small, so that they can be widely recognized global. The most obvious impact is that apart from being known, it can also increase sales volume and profit. Digital Marketing is one of the marketing media that has a huge impact. With using digital marketing in this case is social media, especially in every e-commerce application to increase sales, especially in the era of globalization social media affects so sales volume has increased rapidly compared to the old way of selling. Digital marketing is seen as the best media as the most effective means of promotion and efficiently and able to increase sales volume significantly.

Research on the Construction of E-commerce Teaching System in Higher Vocational Colleges from the Perspective of School Enterprise Linkage

In recent years, the development of e-commerce has been rapidly changing, and the application of e-commerce in various industries has also deepened. However, many vocational colleges have not been able to effectively follow the pace of enterprise job demand in cultivating e-commerce talents, resulting in insufficient integration of talent cultivation with enterprise positions. Therefore, this article mainly analyzes the value of constructing the e-commerce teaching system in vocational colleges from the perspective of school enterprise linkage, explores the problems of constructing the e-commerce teaching system in vocational colleges, and proposes problem-solving strategies such as building a teaching system that meets the requirements of enterprise positions, in order to achieve the cultivation of excellent e-commerce talents in vocational colleges.

Piezoelectric and Machine Learning Based Keystroke Dynamics for Highly Secure User Authentication

Cyber security is of significance in today’s e-commerce applications. In this article, we present a piezoelectric touch sensing supported keystroke dynamics based identity authentication technique, for providing a secure access manner to smartphones. Here, the polyvinylidene fluoride (PVDF) based piezoelectric touch panel can learn detailed force touch habits of users. With a support vector machine (SVM) algorithm, our proposed frequency domain features experimentally demonstrate a better authentication accuracy of 98.3%, compared to the traditional time domain features. The work showcases a feasible method of combining functional materials and artificial intelligence (AI) for satisfying highly secure requirements.

E-Commerce Trend: Analysis of Student Online Shopping Activities

This study aims to analyze the specialization of online shopping for college students using descriptive analysis techniques. The sample used is 195 respondents using the total sampling technique. The student learned many things about economics and business. With e-commerce, this should be an opportunity to apply what has been learned in practice. These students can start by opening an online business. But they prefer to use e-commerce to buy specific items rather than sell products. The results showed that the categorization of student specialization (1) based on the device used to access e-commerce applications was a smartphone (android) as much as 84.10%; (2) by product category is fashion 45.64%; (3) the intensity of shopping frequency not less than three times a month is 51.79%; (4) based on the monthly budget in online shopping is less than one hundred thousand rupiahs is as much as 56.92%; (5) frequently used application is Shopee 72.31%, and (6) payment transaction system using Cash on Delivery (COD) as much as 72.31%.

Analyze Netizen Sentiment on the Shopee Application

Internet users in Indonesia continue to grow yearly, with the number of users in 2020 reaching 160 million. Most people access social media, primarily buying and selling e-commerce platforms. Based on data from the Play Store in 2020, Shopee is ranked first as the most frequently used e-commerce application. Seeing this phenomenon, a goal was formed to examine the sentiment of netizens towards the Shopee application. Researchers chose qualitative methods with extensive data analysis assisted by NVIVO applications to achieve this goal. This study uses secondary data by looking at the research unit in the form of comments in the application comment column on Google Play by text mining. The results of this study are that 52.39% of Shopee users give negative comments, 41.26% positive comments, and 6.35% neutral comments, so it can be concluded that Shopee still has many shortcomings that must be corrected to provide the best service to the user community.
 Keyword: Netizen sentiment; big data; text mining

An Electronic Commerce Big Data Analytics Architecture and Platform

The COVID-19 pandemic significantly increased e-commerce growth, adding more than 218 billion US dollars to the United States e-commerce sales. With this significant growth, various operational challenges have appeared, including logistic difficulties and customer satisfaction. Businesses that strive to take advantage of increased e-commerce growth must understand data and rely on e-commerce analytics. The large scale of e-commerce data requires sophisticated information technology techniques and cyber-infrastructure to leverage and analyze. This study presents a big e-commerce data platform to address several challenges in e-commerce. The presented platform’s design is based on a distributed system architecture that supports e-commerce analytics applications using historical and real-time data and features a continuous feedback loop to observe the decision-making and evaluation processes to achieve the desired objectives. The platform was validated using two analytical applications. The first application was to identify the periods in which customers prefer to place orders, while the second was used to verify the big e-commerce data platform. The resulting insights and findings promote informed e-commerce decisions. Furthermore, viewing and acting on insight results and findings promote informed decisions that potentially benefit the e-commerce industry. The proposed platform can perform numerous e-commerce applications that potentially benefit the e-commerce industry.

The effect shipper, carrier, and supervisory management data mining of online freight platforms on the innovation of financing model for Chinese financial institutions

The application of e-commerce and digitization in the logistics industry has given rise to the emergence of online freight forwarding platforms that connect shippers and carriers for the efficient transportation of goods. Online transactions on the platforms generate a large amount of data, creating opportunities to gain valuable insights through data mining techniques. However, against the backdrop of the Chinese government's accelerated efforts to create a new three-dimensional dynamic logistics landscape of "Internet + Logistics," the traditional financial service models of Chinese financial institutions are struggling to meet the evolving needs of these platforms. This research and innovation project explores the impact of data mining on the operation of online freight transportation platforms and the development of innovative financing models by Chinese financial institutions. A mixed research methodology was used to collect primary data, combining quantitative analysis, qualitative questionnaire analysis, and relevant interviews to collect and analyze the data. By analyzing financial data such as transaction volumes, creditworthiness indicators, and risk factors on these platforms, various data mining algorithms are utilized to mine and predict models. Further evidence is presented to analyze the relationship between shippers, actual carriers, freight platform managers, and financial service innovations that transact through online freight platforms and to propose new types of financing service solutions that can support the growth and sustainability of the logistics industry. These financing models have the potential to increase financial inclusion, reduce credit risk, and facilitate capital flows in the freight industry.

Mengukur Kepercayaan Dan Promosi Mahasiswa Terhadap Pembelian Melalui Aplikasi E-Commerce Di Universitas Labuhanbatu

This study aims to measure trust and student promotion towards purchases through the E-Commerce application at Labuhanbatu University. The research method used in this research is quantitative. The research sample uses incidental sampling technique is a sampling technique based on chance, that is, anyone who happens to meet the researcher can be used as a sample, if it is deemed that the person who happened to be met is suitable as a data source. This study uses non-probability sampling techniques because the population is unknown, and with purposive sampling as the sampling technique. Because the population of members is not known with certainty, the sample size is calculated using the Cochran formula with a research sample of 96 people. The data collection techniques used are observation, documentation studies and questionnaires. The method of analysis of this research is multiple linear regression with the SPSS program. The results of the study prove that Trust has a positive and significant effect on Purchases Through E-Commerce Applications on E-Commerce Applications at Labuhanbatu University. Promotion has a positive and significant effect on Purchases Through E-Commerce Applications on E-Commerce Applications at Labuhanbatu University. Trust and Promotion simultaneously have a positive and significant effect on Purchases Through E-Commerce Applications on E-Commerce Applications at Labuhanbatu University. The coefficient of determination of 0.330 means that Purchases Through E-Commerce Applications can be explained by the variables of Trust (X1) and Promotion (X2), amounting to 33%, while the remaining 67% can be explained by other variables not examined in this study. 
 Keywords: Trust, Promotion, Purchasing Through E-Commerce Applications

Analysis of the Level of Public Satisfaction on the Tiktok Application as an E-Commerce

Abstract: Online shopping has become one of the alternatives used by society today. This happens because doing online shopping saves a lot of time. There are many online shops in Indonesia and are used by many people, such as Shopee, Lazada and Tokopedia. But now there is an application that initially only acted as a social media platform, but now also doubles as an E-commerce application, namely TikTok. TikTok has now become an E-commerce application. The prices given are also very cheap and there are lots of promotions given to customers. But there are still some people who don't want to shop online on TikTok on the grounds that the goods are not good. So from these 2 things, research needs to be made to determine the level of public satisfaction with the TikTok application as an E-commerce. The aim of this research is to see how many people are satisfied shopping on TikTok. This research was carried out using a classification model in data mining using the K-Nearest Neighbor (kNN) method and the Decision Tree method. The classification results obtained were 119 community data (for representation of 96.74%) and for people who were dissatisfied with the TikTok application as an E-commerce it was 4 community data (for representation of 3.25%). These results provide the conclusion that many people are satisfied shopping on the TikTok application as E-commerce

A comparative analysis of non-relational databases in e-commerce applications

In this article, a comparative analysis of non-relational databases was conducted to determine the best database for e-commerce systems. Non-relational systems such as MongoDB and Apache Cassandra were used for the study and the results were compared with a relational PostgreSQL database. The main research criterion was performance testing of several types of queries based on execution time. To implement the research, typical e-commerce databases were created and then tested in a .NET test application created by authors. In addition, the difference in community support between non-relational and relational systems was determined. The research showed that MongoDB is best suited for e-commerce systems.

STD-net: saree texture detection via deep learning framework for E-commerce applications

STD-net: saree texture detection via deep learning framework for E-commerce applications