Internet World Research Articles

Pelatihan Digital Marketing Dalam Meningkatkan Kompetensi Siswa untuk Berwirausaha Pada Sekolah-Sekolah di Kawasan Pantura (Lamongan-Gresik)

Generation Z or students' interaction with the internet world is very active; since they were little, they have lived and been used to playing with gadgets. On average, students can access 7-10 hours/day. Activities can have positive value if the interaction is directed at positive activities. On the other hand, if it is not directed, the tendency is negative. Glagah District is rich in aquaculture products, capture fisheries, and even processing of fishery products. However, this potential has yet to be optimized as a business opportunity. Few people still sell fishery products online despite the significant business opportunities and broad market access. Its existence is essential to run; the business will remain in place without it—students with all their potential need to be directed to take advantage of these business opportunities. Through internal community empowerment activities at the Muhammadiyah University of Gresik, students will be given meaningful stimulus and education to be empowered when they graduate. This activity is carried out using lecture and practice methods. The result is that students grow in their entrepreneurial spirit, understand the region's potential, understand the characteristics of online buying and selling, and can brand various fishery products online.

The role of governance in the effect of the internet on financial inclusion in Sub-Saharan Africa

ABSTRACT This paper analyses the role of governance quality in the relationship between the Internet and financial inclusion in Sub-Saharan African countries. The study uses data from the International Monetary Fund (IMF) database for indicators of financial inclusion, World Development Indicators (WDI) for Internet users and World Governance Indicators (WGI) for governance indicators from 2004 to 2020. Analyzing the data using the System Generalized Method of Moments (SGMM), the results show that the Internet can be effectively complemented with the quality of governance to improve financial inclusion. Thresholds of governance that are needed for the Internet to promote financial inclusion are provided. Policies aimed at reinforcing the quality of governance in SSA countries could help consolidate Internet infrastructure to promote Internet usage and, in turn, improve financial inclusion. Other policy implications are discussed.

Men's skincare trends: Korean wave hyperreality media men's beauty standards

The desire for a white and smooth face is not only a woman's need, but has become a man's need as well. This new phenomenon is influenced by the globalization of the Korean wave, which has created contemporary cultural standards. Such as the increased need for facial skin care products among men. Therefore, this paper discusses how the development of the Korean Wave affects men's skincare needs that are provided through Instagram. It even leads to the emergence of a new hyperreality that replaces the previous cultural standard. Hyperreality is the result of postmodernism, which makes the role of media a source of new human needs. The preparation of this paper is through the netnography method and literature review. The netnography method itself is a development of ethnography that uses Internet media to find information and connect with informants. Netnography helps research to examine social phenomena that appear in the Internet world, and has special methods in interviewing and validating information data obtained from Internet media. This paper shows that Somethinc's local product is a symbol of hyperreality that shifts the special needs of one gender to a common need raised by the globalization of the Korean Wave at this time. The new standards of life brought by the media show that the media has penetrated human life. It has even become a new standard or a standard for the continuation of life.

Linguistic landscape as a way to construct multiple identities in the context of globalization: the case of an ancient town in China

ABSTRACT This article explores the linguistic landscape (LL) of Wuzhen, an ancient town with a history of more than 2,000 years and became the permanent venue for the World Internet Conference in 2014. The LL of Wuzhen is influenced by various factors, including globalization, urbanization, the tourism industry, heritage conservation, and government planning. In light of this, the study has made several field investigations into Wuzhen, examining the LL of four different areas and capturing 1602 photos of signs. Simultaneously, semi-structured interviews are conducted with residents to discuss their perceptions of the local LL and identity. The findings indicate that Wuzhen reshapes its local public space through various semiotic practices, constructing multiple identities that integrate traditionality, modernity, and internationality. It has also been found that LL should be regarded as a crucial semiotic resource anchored in sociocultural and historical space, whose mobility in the context of globalization and urbanization provides more possibilities for identity construction and reconstruction in peripheral regions.

Gendering of the “ideal user” in 1990s-era internet magazines

This project responds to calls by scholars to interrogate how gender was depicted on the early commercial internet. More broadly, it examines how the idea of “users” was and is constructed in different times and places. Specifically, it examines images—advertisements, photos, and other illustrations—and how they depicted gender norms and user behaviors on the internet—in their “idealized” forms. Our study looks at how magazines, such as Internet World and Yahoo! Internet Life shaped internet culture from the beginning. They differed from webzines in their crossover appeal to women, men, power users, and casual fans. We utilize a close reading of these primary sources and deploy a feminist historical approach to help understand how these images were constructed and received. In this, we are inspired by Megan Sapnar Ankerson and Jesse Lingel, with their research on the early civilian internet.

A Comparison between several Density-Based Anomaly Detection Approaches

The current world of internet, mobile devices, businesses, social media platforms, healthcare systems, and the Internet of Things all have a lot of data available online. The enormous volume of data, dimensionality, and dataset changes throughout time are these problems. Clustering algorithms are a useful tool for solving this type of problem. Consequently, the first step in resolving these issues is the application of clustering algorithms, which are necessary for data mining procedures to reveal the structure and hidden patterns in given datasets. Four clustering algorithms OPTICS (Ordering Points To Identify Clustering Structure), Hierarchical Clustering, DBSCAN (Density-Based Spatial Clustering of Applications with Noise), AGGLOMERATIVE and HDBSCAN. The efficiency of each clustering approach is assessed using a range of external and internal parametric clustering assessment metrics.

Determining the Efficacy of Machine Learning Strategies in Quelling Cyber Security Threats: Evidence from Selected Literatures

The alarming security threats in the internet world continually raise critical concerns among individuals, organizations and governments alike. The sophistication of cyber-attacks makes it imperative for a paradigm shift from traditional approaches and measures for quelling the attacks to modern sophisticated, digital and strategic ones, such as those involving machine learning and other technologies of artificial intelligence (AI). This study is aimed at examining machine learning (ML) strategies for effective cyber security. ML involves using algorithms and statistical models to enable computers learn from and make decisions or predictions based on data. The study relied on secondary data, which were subjected to a systematic review. The results of its thematic and qualitative analyses prove that majority of the literatures allude to the fact that the maximal performance abilities and tactics of the ML constitute its strategies for quelling cyber security. These include its: early detection of threats that are tackled before they cause damages; ability to analyze huge quantity of data quickly and accurately; and processing of datasets in real-time. The study argues that the noted abilities and tactics constitute ML strategies for quelling cyber security, regardless of its challenges like data quality, security vulnerabilities and possible incidences of bias. The study concludes that ML can indeed be used to detect and respond to threats in real-time, ascertain patterns of malicious behavior, and improve on internet security, which thereby prove it to be a viable tool for quelling cyber security.

Identification of Influential Nodes in Social Network: Big Data - Hadoop

Software development and associated data is the most critical factor these days. Currently, people are living in an internet world where data and related artifacts are major sets of information these days. The data is correlated with real-world data. The analysis of large datasets was done as part of the experimental analysis. The dataset for online social media like Facebook and Twitter was taken for the identification of influential nodes. The analysis of the dataset provides an overview and observation of the dataset for Facebook or Twitter. Here, in the current activity, an overview of cloud computing and big data technologies are discussed along with effective methods and approaches to resolve the problem statement. Particularly, big data technologies such as Hadoop provided by Apache for processing and analysis of Gigabyte(GB) or petabyte(PB) scale datasets are discussed for processing data in distributed and parallel data fashion. Here, the processing of large datasets is done by big data technology by implementing Apache Hadoop in online social media.

Policy-Based Contextual Access Control Mechanism for Smart IoT Devices

Access control remained an important aspect of computer security, and it has been the focus of extensive research over the past several decades. Access control mechanisms generally composed of two fundamental components: authentication and authorization. Authentication refers to verifying the identity of an entity, and authorization guarantees that only authenticated entity or devices can access the permitted devices or other resources. Various traditional access control schemes, such as Access Control Lists (ACLs), Role-Based Access Control (RBAC), and Attribute-Based Access Control (ABAC) exist, but these have certain limitations that hinder their direct implementation in the Internet of Things (IoT). For instance, ACLs maintain user-specific access privilege lists, which are feasible for environments with limited users and devices, but impractical for large scale systems like IoT. RBAC assigns devices access through roles associated with permissions, however role management in dynamic IoT environments poses significant challenges. ABAC grants access based on user and devices attributes that requires certain attribute criteria for authorization. We advocate that IoT environments are dynamic in nature and consist of very large volumes of smart IoT devices (such as smart sensors, smart phones and gadgets) that which introduce unique access control challenges. One significant challenge is providing dynamic access to smart IoT devices, as opposed to relying on static rules, roles, or attributes. Considering these challenges, this research advocates for a novel access control scheme tailored for accessing smart IoT devices in internet of things environments. The prototype implementation of the proposed approach is carried out along with conducting the usability study to evaluate the performance and suitability of the proposed system for real world internet of things (IoT) scenarios.

‘Digital provide’ or product consumption diffusion cycle? The diffusion impact and potential of digital technology in the Global South

ABSTRACT The global digital divide is sometime presented as the primary obstacle to developmental convergence between world regions. On the other hand mobile phone and internet technology are at times seen as transformative innovations that are dissolving this development divide. Through secondary data (such as on usage from Internet World Stats) and case exemplars, of mobile money and the gig economy, this paper argues that this is not the case; primarily because new information and communication technologies are used mostly for communication and consumption, rather than production, and if they are value capture is often low. Consequently the ‘digital divide’, and its partial dissolution, are perhaps better characterized as phases of an ‘ICT product consumption diffusion cycle’, facilitated by technological embedding and convergence. The paper provides background and substantiates this argument and then explores the potential for a deep digital transformation (DDT) in the Global South.

Protecting Intellectual Property In The Digital Age With A Law

Life has changed with the development of science and technology. One technology that has a significant impact is the technology of the Internet world, the Internet introduces people to the digital world. Of course, this development also affects the law, especially copyright law. Copyrighted works that were still in a traditional form can now be converted to a digital form or digital copyrighted works can be created. In this case, copyright law, which previously protected traditional forms of copyrighted works, must evolve to include the protection of digital copyrighted works, one of which is through cooperation with technology. This research is a normative study with a focus on how copyright law, which previously protected traditional forms of copyright, must evolve to include protection of digital copyrights, one of which is through cooperation with technology. This research is a normative research with a qualitative approach that is descriptive. As technology allows the conversion of copyrighted works into digital forms, there are advantages such as the easy distribution/notification of copyrighted works, but also the ease of infringement. In view of these developments, the WIPO has issued two international treaties known as the WIPO Internet Treaties. These treaties have been adopted by several countries. Indonesia in its positive copyright law has implemented the protection of digital copyrighted works in its articles. Our copyright law needs to be further enriched to protect digital copyrighted works as suggested by the author in this study

Challenges and Cracks: Ethical Issues in the Development of Artificial Intelligence

In June 2023, the Nishan Dialogue on Digital Civilisation of the World Internet Conference was held in China. At this conference, China proposed for the first time, in the era of artificial intelligence (AI), to build a digital world of exchange, mutual appreciation and tolerance, hoping to gather the wisdom of the internet community and seek the governance of digital civilisation. In recent years, with the rapid development and wide recognition of AI technology, how to solve the AI ethical issues generally faced by the international community has become the focus of attention. By analysing the current status of AI ethics and governance in the United States and the European Union, and comparing it with China’s development in recent years, this article further advances the exploration of Chinese solutions to the global ethical governance of AI. On this basis, it responds positively to the call of the United Nations and international organisations to explore solutions to the four main realities of: (a) phenomenon of alienation of labour competition brought about by AI technology; (b) infringement of the subject’s personal privacy and impact on the ethics of responsibility for awareness and undermining of social fairness; (c) justice to seek a path of avoidance for collaborative governance from government supervision, public constraints, technology; and (d) sound mechanisms, which can actively promote global AI ethics.

Internet of Things - Novel Application in Agriculture

Abstract: In the Present Era, the world is experiencing a strong rush towards modern technology, while specialized companies are living a terrible rush in the information and Communication technology towards the so-called Internet of things IoT or Internet of objects, which is the integration of things with the world of Internet, by adding hardware or/and software to be smart and so is able to communicate with each other and participate effectively in all aspects of daily life. By enabling new forms of communication between people and things, and between things themselves, that will change the traditional life into a high style of living. But it won’t be easy, because there are still many challenges and issues that need to be addressed and have to be viewed from various aspects to realize their full potential. The main objective of this paper is to provide the reader with a detailed discussion from a technological and social perspective. The various IoT aspects, definition and architecture, challenges and issues were discussed. Furthermore, a description of several sensors and actuators and their smart communication. Also, the most important application areas of IoT were presented with a case study. This work will help readers and researchers understand the IoT and its potential application in the real world

Climate Change Effect in Nigeria Mitigation, Adaptation, Strategies and Way Forward in the World of Internet of Things

This paper delves into the comprehensive impact of climate change in Nigeria, emphasising the critical role of Internet of Things (IoT) technology in formulating mitigation and adaptation strategies. It highlights the significant threats climate change poses to Nigeria's ecological balance, economy, and societal structure, including altered temperature patterns, more frequent extreme weather events, and ramifications for agriculture, water supply, and health. It underscores the urgency for effective responses to protect the nation's welfare and economic integrity. The study showcases the potential of IoT technology as a pivotal tool in crafting innovative responses to climate change challenges. It demonstrates how IoT can bolster Nigeria's resilience through enhanced agricultural methods, better management of water resources, and more efficient energy utilisation. IoT devices' real-time data gathering and analytical prowess facilitate precise environmental monitoring, timely disaster warnings, and resource optimisation. The discussion extends to mitigation tactics like shifting towards renewable energy, improving energy efficiency, and sustainable land use, alongside adaptation strategies that include building climate- resilient structures, advocating for water conservation, and applying climate-smart agricultural practices to safeguard food security. Advocating for a cooperative strategy that integrates efforts from the government, private sector, academia, and communities, the paper stresses the importance of incorporating IoT solutions into national climate action and development strategies for a unified and robust approach to climate-related challenges. It concludes with a roadmap for the future, proposing policy reforms, investments in IoT infrastructure, skill development, and heightened public awareness as essential moves towards a sustainable, climate-resilient Nigeria. By strategically deploying IoT technologies, Nigeria can mitigate the detrimental impacts of climate change and tap into new avenues for economic and environmental prosperity.

Query reformulation system based on WordNet and word vectors clusters

With tremendous evolution in the internet world, the internet has become a household thing. Internet users use search engines or personal assistants to request information from the internet. Search results are greatly dependent on the entered keywords. Casual users may enter a vague query due to lack of knowledge of the domain-specific words. We propose a query reformulation system that determines the context of the query, decides on keywords to be replaced and outputs a better-modified query. We propose strategies for keyword replacements and metrics for query betterment checks. We have found that if we project keywords into the vector space of word projection using word embedding techniques and if the keyword replacement is correct, clusters of a new set of keywords become more cohesive. This assumption forms the basis of our proposed work. To prove the effectiveness of the proposed system, we applied it to the ad-hoc retrieval tasks over two benchmark corpora viz TREC-CDS 2014 and OHSUMED corpus. We indexed Whoosh search engine on these corpora and evaluated based on the given queries provided along with the corpus. Experimental results show that the proposed techniques achieved 9 to 11% improvement in precision and recall scores. Using Google’s popularity index, we also prove that the reformulated queries are not only more accurate but also more popular. The proposed system also applies to Conversational AI chatbots like ChatGPT, where users must rephrase their queries to obtain better results.

Kebijakan Penegakan Hukum Pidana dalam Penanggulangan Perjudian Online Ditinjau dari Undang–Undang Republik Indonesia No.19 Tahun 2016 tentang Informasi dan Transaksi Elektronik

This journal is titled Criminal Law Enforcement Policies in Combating Online Gambling Reviewed from the Republic of Indonesia Law Number 19 of 2016 concerning Information and Electronic Transactions. The rapid technological advancements today provide a great opportunity for criminals to commit crimes. Online gambling offenses have now entered the Internet world, known as online gambling. To reduce the level of criminality in online gambling, it is necessary to understand the law enforcement policies in combating online gambling offenses and the obstacles law enforcement face in addressing these crimes. This journal uses a descriptive normative legal research method, which aims to describe rather than test hypotheses. There are two approaches to combating online gambling: preventive measures involve providing warnings and monitoring the online world using the Internet, while the second approach, repressive measures, involve capturing, processing, taking to court, and imposing criminal sanctions in accordance with Article 45 paragraph (2) of the ITE Law, Article 303, and Article 303 bis of the Criminal Code. Based on the research findings, the author suggests: 1. The need to enhance law enforcement capabilities by upgrading IT-based technological knowledge. 2. Law enforcement officials are encouraged to be more proactive in combating online gambling offenses. In the case of online gambling, authorities can potentially block online gambling sites on a large scale, which would help minimize existing issues.

Penerapan Sistem Informasi Penjualan Baju Berbasis Android Sebagai Peningkatan Layanan Konsumen

The development of the internet world is highly expected for the present because more and more private companies, agencies, and educational institutions are very highly in need to serve as information services. In this study, we will try to make an Android-based Jersey Shirt Sales System Application that is addressed at the Berugak Jersey Lombok Store. The Berugak Jersey Lombok shop only uses social media and manuals in marketing its products. So, most of the consumers/customers come from the people around them and the social media they use. Currently, a business field is certainly less competitive if it does not have online marketing media such as e-commerce applications/websites. The existence of an application/website will be able to expand the reach in marketing the products sold at this store. The method used in the design and manufacture of this software is the waterfall method. The purpose of this final project research is to produce a sales system application design that can make it easier for consumers to place orders/transactions at the Berugak Jersey Lombok store and as a means to promote products to be more communicative and informative, to expand the marketing area and increase the number of consumers

Pelatihan Digital Marketing Produk UMKM Pada Masyarakat Desa Betek Guna Meningkatkan Kesejahteraan Masyarakat

Electronic Commerce (e-commerce) is a new behavior that can be described as the process of transactions for goods or services in the process of buying and selling or exchanging products, services and information via information networks, including the internet or cyberspace, in line with the very rapid development of the internet world. Service implementers observed that marketing of UMKM products in Betek village, Mojoagung subdistrict is still limited and still uses the WoM (Word of Mouth) marketing method so that sellers only rely on buyers who come. The problem with partners is that marketing is still done traditionally, namely by word of mouth and only relies on consumers who come to get turnover and offers to close friends and the surrounding environment and there is a lack of understanding and use of digital marketing to increase sales. The problems faced must immediately find a solution. One alternative solution is to use digital marketing media. The objectives of this digital marketing-based UMKM product marketing assistance program are as follows: (1) UMKM owners in Betek village can increase their understanding of digital marketing; (2) UMKM owners in Betek village can increase the use of digital marketing more effectively; (3) MSME owners in Betek village can expand their marketing area; (4) Betek village UMKM owners can increase their income. With this digital marketing training, sales of Betek Village UMKM products increased by 60% from before the intensive assistance was implemented.

Dugat-LSTM: Deep learning based network intrusion detection system using chaotic optimization strategy

Network intrusion is a huge harmful activity to the privacy of the data sharing network. The activity will result in a cyber-attack, which causes damage to the system as well as the user’s data. Unauthorized activities such as data tampering, illegal access to data and theft of credentials are increasing on the internet world every day. The detection of intrusion may be done by multiple methodologies; still, it is the biggest issue in the networks. Hence, an automated attack classification model is required to promote classification accuracy with fewer error possibilities based on the input parameters. To get relief from the insecurity of data, this paper presents an innovative model using deep networks. The proposed model is a deep learning based network intrusion detection system using a chaotic optimization strategy. The method is pre-processed using data cleansing and M-squared normalization. After pre-processing, the unbalanced datasets are balanced using the Extended Synthetic Sampling approach. After balancing, the features of the dataset are taken out using kernel-assisted principal component analysis. The optimal features are selected by the Chaotic Honey Badger optimization algorithm. After all required features have been extracted, the attacks are classified by the Gated Attention Dual Long Short Term Memory (Dugat-LSTM). The above process is performed using the TON-IOT and NSL-KDD datasets. The prototype is evaluated using the following metrics: accuracy, precision, recall, and F1 score. The accuracy value of the proposed model is 98.76% in the TON-IOT dataset and 99.65% in the NSL-KDD dataset. Thus, the accuracy and robustness of the model show that it outperforms other existing models.

Deep learning trends and future perspectives of web security and vulnerabilities

Web applications play a vital role in modern digital world. Their pervasiveness is mainly underpinned by numerous technological advances that can often lead to misconfigurations, thereby opening a way for a variety of attack vectors. The rapid development of E-commerce, big data, cloud computing and other technologies, further enterprise services are entering to the internet world and have increasingly become the key targets of network attacks. Therefore, the appropriate remedies are essential to maintain the very fabric of security in digital world. This paper aims to identify such vulnerabilities that need to be addressed for ensuring the web security. We identify and compare the static, dynamic, and hybrid tools that can counter the prevalent attacks perpetrated through the identified vulnerabilities. Additionally, we also review the applications of AI in intrusion detection and pinpoint the research gaps. Finally, we cross-compare the various security models and highlight the relevant future research directions.