Number Of Internet Users Research Articles

Identification of Indonesian clickbait news headlines with long short-term memory recurrent neural network algorithm

Online news portals are one of the main sources of information currently most accessed by the public. With the number of Internet users increasing day by day, online news portal business entrepreneurs must find ways to remain able to compete to attract netizens’ attention to open their news portals. One of the techniques used is to implement clickbait to increase visitor traffic or pageviews. The characteristic of clickbait headlines is that they hide the facts or actual news content in the title section. Clickbait’s goal is to get curious Internet users to click on the link with the headline. This research aims to detect Indonesian-language clickbait headlines automatically by utilizing Indonesian language news headline data obtained from several online news portals with the highest amount of traffic on the Internet. This research uses the Recurrent Neural Network method based on Long Short-Term Memory. The model is built using word embedding to represent text data into vector data. The result of this research is a model with a testing accuracy of 83% and a system that is able to classify headlines whether they are clickbait or not.

Development of conceptual framework for cyber fraud investigation

The increase in the number of internet users in Indonesia as much as 175.4 million as recorded in the Datareportal.com report and 4.83 billion globally, impact the increase in the number of cyber fraud cases. Data states that 96% of fraud cases are not resolved due to fraud methods carried out online and make it difficult for legal officers to obtain evidence. Previous fraud investigation research mainly focused on fraud detection, so this research focuses on submitting a framework for investigating cyber fraud cases. The cyber fraud case requires a new framework for investigation because in this fraud case, there is digital evidence that is very prone to be damaged, lost, or modified, which makes this case unsolved. This research aims to develop a framework that is expected to help auditors to uncover cases of cyber fraud so that resolved cyber fraud cases can increase. The method used in making this framework uses Jabareen's conceptual framework development method, which consists of 6 stages, namely, Mapping the selected data source, extensive reading and categorizing of the chosen data, Identifying and naming objects, Deconstructing and categorizing the concept, Integrating concept, Synthesis, resynthesis. And make it all sense. The framework for cyber fraud investigation uses 22 digital forensic frameworks and eight frameworks for fraud audit investigations. The results of developing a framework using the Jabareen method resulted in 8 stages, integrating various concepts selected from digital forensics and fraud audits. Evaluation of framework development was carried out by giving limited questionnaires to practitioners and academics, which produced 89% for the feasibility value and needs of the framework and 67% there is no need for changes to the framework being developed.

Digital Diplomacy to Optimize Indonesian Trade on the International Stage

This study aims to discuss the readiness of Indonesia's digital diplomacy to support international trade. Including activities in digital diplomacy that can support Indonesia's trade in the international arena. Indonesia has a very large population in the number of internet users so that it can take advantage of these conditions for commodity trading on a global scale. The method used by the author is descriptive, with data study techniques and case studies as the basis for writing. Digital diplomacy is a variant of diplomacy that uses the internet and the latest information communication technology to help achieve diplomatic goals. The limitation in this paper is the diplomacy activity to optimize Indonesia's trade prospects. This paper also gets the result that Indonesia needs to maintain this digital diplomacy carefully to improve its position as a middle power country at the international level so that hopes for better trade can be realized.

Power Line Communication: Análise de Desempenho de uma Rede Doméstica com Adaptadores padrão homeplug AV / Power Line Communication: Performance Analysis of a Home Network with homeplug AV Adapters

With the increase in the number of Internet users, due to digital inclusion, it is necessary to find the best possible way to provide this service. Among all forms of data transmission, PLC (Power Line Communication) is the one that has stood out the most in recent years, mainly due to its infrastructure, which allows users in semi-urban or even rural regions, and by the fact of ensuring high speed rates (up to 200 Mbps), through the broadband PLC, the BPL (Broadband Power Line), which uses the HomePlug AV standard. However, because the infrastructure used is the power lines, PLC is subject to numerous problems, such as interference, noise and attenuation. Therefore, there is a need to evaluate the performance of this broadband technology with regard to its use in domestic environments, analyzing its effectiveness amidst electrical interference. This paper presents an analysis of the performance of a PLC network that uses the HomePlug AV standard, with the objective of evaluating its viability in a domestic environment, since it presents several challenges for this technology Esde

ANALISIS PENGUKURAN MINAT PENGGUNA APLIKASI PAYTREN DALAM PENGGUNAAN MOBILE PAYMENT DI ACEH

In recent years, the number of internet users and smartphones was increasing enormously in Indonesia. The development of the internet occurs rapidly and gives a significant influence on every aspect of life. The growing information technology allows people to easily perform various financial transactions by using mobile payments. This research aimed to examine the influence of mobility, compatibility, and trust toward the intention of users to use mobile payment. The research was conducted in Banda Aceh by taking samples of the PayTren users. The purposive sampling method was being used in gathering data and the main instrument of data collection was in the form of a questionnaire, which was being measured on a Likert scale. The data Samples were Banda Aceh inhabitants who use PayTren as their mobile payment platform. A total of 119 data were processed using SPSS and the analysis result of the model showed that mobility, compatibility, and trust affected the intention to use mobile payment PayTren.

Comparative Analysis of Feature Selection Techniques for Malicious Website Detection in SMOTE Balanced Data

The advancement in network technology has led to an exponential rise in the number of internet users across the globe. The increase in internet usage has resulted in an increase in both the number of malicious websites and cybercrimes reported over the years. Therefore, it has become critical to devise an intelligent solution that can detect malicious websites and be used in real-time systems. In our paper, we perform a comparative analysis of various feature selection techniques to build a time-efficient and accurate predictive model. To build our predictive model, a set of features are selected by feature selection methods. The selected features consist of at least 70% of the categorical features in all feature selection techniques examined in this paper. Keeping the end goal of real-time deployment of models in context the cost of processing or storing these features is far cheaper when compared to text or image-based features. We started out with a class imbalance in our data which was later dealt with using the Synthetic Minority Oversampling Technique. Our proposed model also bested the existing work in the literature when compared over various evaluation metrics. The result indicated that Embedded feature selection was the best technique considering the accuracy of the model. The Filter-based technique may also be used in the context of developing a low latency system at the cost of the accuracy of the model.

Evaluasi Kepuasan Pengguna M-Payment sebagai Alat Pembayaran Online di Indonesia

Mobile Payment (M-Payment) is currently widely used in Indonesia to make payment transactions online. This is because the number of internet users in Indonesia is getting bigger. This article aims to test the level of satisfaction of users of m-payment applications in Indonesia. This study uses primary data in the form of a questionnaire distributed to respondents. The selection of respondents was carried out using the method accidental sampling. Analysis of the research data was carried out using the Fishbein, IPA, and CSI methods. The attributes used to measure the level of satisfaction of m-payment users are attractiveness, ease of use, efficiency, security, stimulation, usefulness. The results of this study indicate that the m-payment application users are very satisfied with the performance of the m-payment application used. The results also show that there are 2 (two) attributes that have good performance in the view of m-payment application users, namely efficiency and ease of use which, according to user ratings, have performance that exceeds user expectations. The users consider that the usefulness of m-payment application used still has a performance below expectations. Thus, the provider of the m-payment application is supposed to improve the quality of the existing m-payment application.

Consumer Trust as the Antecedent of Online Consumer Purchase Decision

The e-commerce industry in Indonesia is growing in line with the increasing number of internet users in Indonesia. Unfortunately, many internet users in Indonesia are still unsure about shopping online because of the lack of buyer trust with sellers and service providers. This study aims to identify the factors that influence online shop consumers to conduct transactions online. This research used a questionnaire survey distributed to customers who had ever used an online shop application. The sample used in this research was 468 respondents. The data collected was then analyzed using Partial Least Square. The results of this research indicated that trust, perceived value, and buying interest positively influence consumers’ decisions to purchase using an online shop application.

Digital parenting competence of mother as informal educator is not inline with internet access

Mothers have important roles in parenting and more often use of digital technology, but no research has been found regarding maternal digital parenting competencies as informal educators. Therefore, in this study, we attempted to map maternal digital parenting competencies using the digital competence framework. We also examined the validity of the adapted digital competence framework and the relationship between sociodemographic and proficiency level. This study investigated a province in Indonesia which has a high percentage of internet users with a population of 967,482 mothers in five regencies. Difficulty in finding respondents was overcome by routine monitoring, extending the survey time, adding surveyors in the middle of the study, and expanding the survey area outside surveyors’ home base. Four DigCompEdu framework areas were adapted, i.e., digital resources, parenting, empowering children, and facilitating children’s digital competence. The results show that the adapted digital competence framework is both valid and reliable. The proficiency level of 437 valid respondents varies, and most are at the basic user level. For example, mothers as informal educators often use one-way communication technology and apply digital parenting resources in its original form. However, as informal educators, mothers felt capable of selecting proper communication channels according to social norms. It also shows that regency, occupation, income, home internet access, and children’s homework supervision are related to certain digital competence areas. In summary, the results demonstrate that the internet availability and the number of internet users are not necessarily inline with the proficiency level, suggesting that the government balances technological capacity and maternal digital parenting competence. • Realistic digital competence framework is needed for developing countries. • Digital competence measurement mostly for students or professionals, not for mothers. • Mothers have more roles in parenting and more often use digital technology. • Maternal digital parenting competence is not inline with internet access. • DigCompEdu framework could be adapted for the mother as an informal educator.

ANALYSIS OF PERCEIVED VALUE AND TRUST OF SATISFACTION AND ITS IMPACT ON THE LOYALTY OF ONLINE SHOPPING CONSUMERS IN TOKOPEDIA

The number of Internet Users is increasing and the competitors of Online Business are making Online Shopping business tight, but the increase in Internet users is not in line with the increase in Online Shopping users. Data obtained from the Association of Indonesian Internet Service Providers (APJII, 2020), the reason why Internet users never change their goods or services online 6.7% is worried that the goods will not arrive. And data from the National Consumer Protection Agency (BPKN) for 2018-2020 there were complaints with problems regarding phishing and accounts via OTP. Tokopedia is an E-marketplace Platform that carries Online Purchase of Goods, with Tokopedia, consumers can easily fulfill their daily needs. The development of Tokopedia is very convincing that many consumers are making products. The more consumers who make repeated purchases, the more growth will be. However, there will be repeated every consumer who feels loyal to what is offered and has a customer. Loyalty must have several components because Loyalty is built on the basis of several components. So that this research discusses the Perceived Value and Trust in Satisfaction and its impact on Consumer Loyalty. This study refers to previous research as a conceptual basis. The research sample was taken from 256 respondents who were taken from the Tokopedia application using Google Docs in the form of a questionnaire survey. From the results of this study, consumer loyalty is very hampered by the Perceived Value, trust and satisfaction as a mediation.

Addressing Cold Start New User in Recommender System Based on Hybrid Approach: A review and bibliometric analysis

Increasing number of internet users today, the use of e-commerce becomes a very vital need. One of the keys that holds the success of the e-commerce system is the recommendation system. Collaborative filtering is the popular method of recommendation system. However, collaborative filtering still has issues including data sparsity, cold start, gray sheep, and dynamic taste. Some studies try to solve the issue with hybrid methods that use a combination of several techniques. One of the studies tried to solve the problem by building 7 blocks of hybrid techniques with various approaches. However, the study still has some problems left. In the case of cold start new users, actually, the method in the study has handled it with matrix factorizer block and item weight. But it will produce the same results for all users so that the resulting personalization is still lacking. This study aims to map an overview of the themes of recommendation system research that utilizes bibliometric analysis to assess the performance of scientific articles while exposing solution opportunities to cold start problems in the recommendation system. The results of the analysis showed that cold start problems can be solved by utilizing social network data and graph approaches.

Method of Profanity Detection Using Word Embedding and LSTM

With the rising number of Internet users, there has been a rapid increase in cyberbullying. Among the types of cyberbullying, verbal abuse is emerging as the most serious problem, for preventing which profanity is being identified and blocked. However, users employ words cleverly to avoid blocking. With the existing profanity discrimination methods, deliberate typos and profanity using special characters can be discriminated with high accuracy. However, as they cannot grasp the meaning of the words and the flow of sentences, standard words such as “Sibaljeom (starting point, a Korean word that sounds similar to a swear word)” and “Saekkibalgalag (little toe, a Korean word that sounds similar to another swear word)” are less accurately discriminated. Therefore, in order to solve this problem, this study proposes a method of discriminating profanity using a deep learning model that can grasp the meaning and context of words after separating Hangul into the onset, nucleus, and coda.

THE FRAMEWORK MODEL OF DIGITAL COOPERATIVE TO EXPLORE ECONOMIC POTENTIAL IN HIGHER EDUCATION

In February 2020, the Indonesian Ministry of Cooperatives and SMEs noted that in the last four years, 81,686 cooperatives were dissolved, leaving 123,048 active cooperatives. This case is a huge challenge for the government to overcome. Indonesian Internet Service Providers Association (APJII) stated that the number of internet users in Indonesia reached 196.7 million in the middle of 2020. Meanwhile, data from Google & Temasek showed purchasing products via e-Commerce in Indonesia reached US$ 10.9 billion in 2017 and continuously increased in 2020. Most cooperatives in Indonesia run business conventionally with manual transactions, limited time, traditional logistics, and conventional membership administration. Nowadays, the institution with tens of thousands of members no longer effectively runs cooperative conventionally in a disruptive era. A conventional cooperative at a private university in Jakarta was observed in the study. There are tens of thousands of students and staff at the university. Three research questions arise, such as what can not be adequately solved in a traditional cooperative, what tools are used in digital cooperatives, and what shape can be used in the digital cooperative system model to solve issues. This study proposes a framework model in developing a digital cooperative to accommodate a huge amount of membership and enhance business scope. The research identified technology needed to overcome matters cannot be dealt with in a conventional cooperative. It provided a digital cooperative frameworks model that impacts value creation, value capture, and value delivery, especially in higher education.

Studi Komparasi Penyebaran Berita Bohong (Hoax) Perspektif UU ITE dan Hukum Pidana Islam


 
 
 
 A large number of internet users in Indonesia and the high frequency of accessing information and news content on social media do not necessarily guarantee the maturity of their users. A lot of hoax content that is rife happened because of the absence of news selection. The purpose of this study was to determine the comparison of the sanctions for the perpetrators of spreading fake news on social media in Law Number 19 of 2016 concerning Information and Electronic Transactions and Islamic Criminal Law. The author uses a normative approach (statute approach) which is carried out with a statutory approach, a conceptual approach (conceptual approach), and an analytical approach (analytical approach). The spread of fake news (hoax) is prohibited in positive law and Islamic law. In positive law regulated in Law Number 19 of 2016, amendments to Law Number 11 of 2008 concerning Electronic Information and Transactions are contained in Article 28 paragraph (1) and (2), 27 paragraph (3) and Article 45A paragraph (1 ) and (2) with the threat of a maximum imprisonment of 6 (six) years and / or a maximum fine of Rp. 1,000,000,000.00 (one billion). Meanwhile, in Islamic criminal law, the spread of fake news (hoax) is not allowed. Islam advises its followers to speak well and truthfully (shiddiq), not someone who is in a hurry to share news and not one who reverses the facts. In Islamic Criminal Law itself, the sanction given to perpetrators who spread fake news is Ta'zir.
 
 
 

ANALYSIS OF THE EFFECT OF SYSTEM QUALITY, INFORMATION QUALITY, SERVICE QUALITY, PROCESS QUALITY, AND COLLABORATION QUALITY TO USEFULNESS, USER SATISFACTION, AND CUSTOMER LOYALTY OF SOCIOLLA APPLICATION CUSTOMER IN SURABAYA

In this era, technology is important and very much needed, because almost all systems are operated online. The number of internet users in Indonesia according to the Central Statistics Agency (BPS) in 2018 was 171.17 million users. The increasing number of internet users in Indonesia today is one of the reasons for the emergence of e-commerce. Sociolla is one of an e-commerce platform in the beauty sector originating from Indonesia which uses B2C business model it offers beauty products which was ranked the 8th most visitors dekstop version in 2018 with 3 million visitors per month. Sociolla has now upgraded its system by launching a new application, namely SOCO, to make online shopping even easier. Therefore, the presence of Sociolla application was very influential in the development of the e-commerce industry, especially in Surabaya. The results showed that service quality has a significant effect on usefulness with a regression coefficient of 0.236, service quality has a significant effect on user satisfaction with a regression coefficient of 0.153, system quality has a significant effect on usefulness with a regression coefficient of 0.212, system quality has a significant effect on user satisfaction with a regression coefficient of 0.151, collaboration quality has a significant effect on usefulness with a regression coefficient of 0.188, collaboration quality has a significant effect on user satisfaction with a regression coefficient of 0.178, process quality has a significant effect on usefulness with a regression coefficient of 0.182, process quality has a significant effect on user satisfaction with a regression coefficient of 0.213, information quality has a significant effect on usefulness with a regression coefficient of 0.153, information quality has a significant effect on user satisfaction with a regression coefficient of 0.132, usefulness has a significant effect on user satisfaction with a regression coefficient of 0.212, usefulness has a significant effect on customer loyalty with a regression coefficient of 0.213, and user satisfaction has a significant effect on customer loyalty with a regression coefficient of 0.625.

The Effect of Gender and the Internet on the Level of Corruption in ASEAN 5 (1997-2019)

The level of corruption in ASEAN countries, especially ASEAN 5, namely Indonesia, Malaysia, Thailand, Vietnam, and the Philippines, although gradually declining but still in the high category. This study aims to analyze the factors that influence the level of corruption in ASEAN-5 countries (Indonesia, Malaysia, Thailand, Vietnam, and the Philippines). The level of corruption is proxied using the Corruption Perception Index (CPI), while the independent variable is internet users, and gender is proxied by female labor force participation and male labor force participation. The results show that the increasing number of internet users will reduce the level of corruption as indicated by the increased CPI value. As for gender, increasing female labor force participation will reduce the level of corruption, but the opposite result is shown by the participation of the male labor force. The policy implication of this study is the need to expand the use of the internet and provide wider opportunities for women to work, especially in public offices, to reduce the level of corruption

Enhanced QoS Through Optimized Architecture for Video Streaming Applications in Heterogeneous Networks

The exponential growth in the number of internet users for utilizing diversified applications, such as Voice over IP(VoIP), video on demand (VoD), video streaming and e-learning, has resulted in a steady increase in traffic on the transmission channel. Despite video streaming being a large contributor of traffic to both commercial and non-commercial uses, it still lags in the proper delivery of data to the users of cellular devices and another heterogeneous network. As the popularity of video streaming services increases, so does the user’s expectation for quality services. The poor quality of video streaming services has now become absolute in the video stream ecosystem. Therefore, video service providers have taken providing good Quality of Service to their users as their major goal. Provisioning of optimal QoS services in these applications become a challenging task for service providers in the presence of huge traffic and congestion. Since video streaming architecture follows a server-client architecture model, we propose to optimize the functions at the server-side to maximize QoS. The performance of the proposed architecture is compared with the existing architecture in terms of QoS features such as delay, delivery ratio and throughput for various data rates and buffer sizes. The proposed work is simulated using NS2 Simulator. The results show that, end to end delay is reduced by 10%, the delivery ratio is improved by 12% and throughput is improved by 17% when compared to the existing architecture.

The researching of information inequality in the market of information services

The object of research is information inequality. Information inequality is seen as a socio-economic problem that can be solved with the help of confident actions of the state. Data analysis confirmed the problem of the «digital divide» at the global and regional levels. The transformation of the information services market depends on the quality of the Internet. The growing number of Internet users is a global tendency, but at the regional level it is possible to see clear differences, which creates problems for obtaining quality educational, financial and professional services. Both negative and positive consequences of information inequality are considered. Along with the growing importance of modern information technologies and services in society, inequality between certain segments of the population is growing. Some people for various reasons may have restrictions on access to information, knowledge, information services, new digital products and modern technologies, while others may not have similar restrictions on access to them. The study found that the market for information services is specific in terms of protection of intellectual property rights. Aspects that would contribute to strengthening the protection of intellectual property rights to information services and products, information security are provided. Negative transactional externalities occur in the market of information services precisely when there is a decrease in information security due to violation of intellectual property rights by one person in relation to another, causing the last damage. To reduce the burden of transaction costs on market participants in information services, the directions of reducing transaction costs at the national level are substantiated. In all countries of the world, the COVID-19 pandemic has exacerbated the issue of information inequality. The study presents the principles for overcoming digital inequality.

Image annotation in social networks using graph and multimodal deep learning features

Thanks to the evolution of technology, we find a very large number of internet users who use social networks to react and share things with each other. These networks are exploited in the study of several domains. In fact, an Internet user can easily share his images with a simple click on his/her Smartphone. However, we get a large amount of published images on the Internet. Such an amount requires specific access techniques to be used by the search engines to provide searchers with the desired results. An effective way to access the target images is their keywords (or tags). Nevertheless, tags, which people manually attach to images, are of low quality and negatively affect the search engines. Consequently, automatic annotation of images by tags has become an active topic of research in recent years. In this paper, we introduce an automatic annotation method in social networks named MDL-STag (Multimodal features Deep Learning approach for Social image Tagging). This method provides high-quality features using the visual content of the image as well as the textual content of the annotation tag history to personalize the annotation, and that’s with the help of some deep learning models. Then, it merges these features and makes multimodal features for the images of the annotator’s contacts who share the same interests to provide more useful tags through the propagation of images tags that are similar to the target image. In fact, we find that tests give good results on real social networks as the well known Instagram and Flickr.

Data Mining Approach for Cyber Security

Use of internet and communication technologies plays significant role in our day to day life. Data mining capability is leveraged by cybercriminals as well as security experts. Data mining applications can be used to detect future cyber-attacks by analysis, program behavior, browsing habits and so on. Number of internet users are gradually increasing so there is huge challenges of security while working in the cyber world. Malware, Denial of Service, Sniffing, Spoofing, cyber stalking these are the major cyber threats. Data mining techniques are provides intelligent approach for threat detections by monitoring abnormal system activities, behavioral and signatures patterns. This paper highlights data mining applications for threat analysis and detection with special approach for malware and denial of service attack detection with high precision and less time.