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The advancement of artificial intelligence (AI) technology has transformed the paradigm of shopping experiences on e-commerce platforms. This article examines the future of AI-powered virtual shopping assistants designed to provide personalized solutions in the digital marketplace experience. Virtual shopping assistants, driven by technologies such as chatbots, voice assistants, and machine learning, enable consumers to receive more relevant product recommendations and a shopping experience tailored to their preferences. This study aims to explore how the implementation of AI-powered virtual shopping assistants can enhance customer loyalty, sales conversion, and consumer satisfaction in online marketplaces. Using a mixed-method approach involving in-depth interviews and quantitative surveys, the research identifies consumer perceptions of this technology and its impact on their purchasing decisions. Findings reveal that consumers who engage with AI-powered virtual shopping assistants report more personalized and satisfying shopping experiences, contributing to increased loyalty and sales conversion for e-commerce platforms. This article provides practical insights for marketplace managers to optimize the use of AI in creating more personalized and responsive shopping experiences. Furthermore, this research opens opportunities for further exploration of AI integration across various digital shopping channels.

In educational research, identifying variables and determining data sources are essential components in designing a systematic and accurate study. Research variables refer to the elements that are observed and measured within a study. These variables can include student achievement, motivation, teaching strategies, or learning environment conditions. Generally, variables are categorized as independent, dependent, control, or moderator variables. The independent variable is the influencing factor, while the dependent variable is the outcome. Control variables are held constant to avoid interference, and moderator variables affect the strength or direction of the relationship. The process of identifying variables begins with formulating the research problem and objectives. By reviewing theoretical frameworks and previous studies, researchers can focus their investigation on measurable aspects. For instance, in a study about the effectiveness of online learning on student performance, the independent variable is online learning, while the dependent variable is student achievement. Beyond identifying variables, researchers must also determine the appropriate types of data sources. Data sources are generally divided into two categories: primary and secondary. Primary data are collected directly from research subjects, such as through interviews, observations, or questionnaires. Secondary data, on the other hand, are obtained from existing sources like documents, books, journals, or official reports. The choice of data source must align with the research approach—quantitative, qualitative, or mixed methods. In quantitative research, primary data such as test scores or survey responses are used to measure variables numerically. In qualitative research, in-depth interviews and observations are commonly used to explore meanings and context. Using both types of data in combination can enhance data validity through triangulation. Ultimately, researchers must ensure the validity and reliability of their data, while also maintaining ethical standards in data collection and reporting. By understanding how to identify variables and select appropriate data sources, educational research can yield credible findings that contribute meaningfully to educational theory and practice.

This article examines the implementation of digital literacy within the Islamic Religious Education (PAI) curriculum as a response to educational transformation in the digital era. The study aims to analyze strategies for integrating digital literacy into the PAI curriculum, identify the challenges of its implementation, and formulate a contextual model for developing PAI learning based on digital literacy. Using a qualitative research method with a literature review approach and analysis of current curriculum documents, the study found that the implementation of digital literacy in the PAI curriculum remains partial and unsystematic. The findings indicate the need to reformulate the PAI curriculum by comprehensively integrating digital literacy competencies through digital project-based learning, online collaborative learning, and the use of social media for reflective learning. The implications of these findings highlight the urgency of transforming the PAI curriculum to prepare students to become critical, creative, and ethical digital Muslims in the era of technological disruption.

This community service program aims to empower student entrepreneurs through digitalization and strengthening sustainable business capacity. The activities are comprehensively designed with a participatory and experiential learning approach, so that participants not only understand the concepts theoretically but also are able to apply them practically. The program consists of various activities, such as interactive workshops on digital marketing and sustainable business models, business clinics to analyze current business problems, digitalization simulations using online platforms, individual mentoring sessions by business practitioners, and presentations of business plans developed by each participant. A total of 30 students from various study programs were actively involved and demonstrated high enthusiasm throughout the process. A total of 30 students from various study programs were actively involved and demonstrated high enthusiasm throughout the process. Program evaluation was conducted through observation, questionnaires, and assessments of the developed digital action plans. The evaluation results showed significant improvements in cognitive aspects (understanding of digitalization concepts, sustainable business models, and digital marketing strategies), affective (interest and commitment to business development), and application (the ability to develop and present innovative business plans relevant to digital challenges). Ninety percent of participants were able to develop digital action plans that encompassed the use of social media, e-commerce, digital payment systems, and technology integration in business operations. Furthermore, the program encouraged collaboration among students in building business networks and young entrepreneur communities. Positive participant feedback demonstrated that the participatory approach and hands-on practice were effective in increasing student motivation and readiness to face business challenges in the digital era. The program has proven effective in enhancing students' entrepreneurial competencies and fostering an adaptive business mindset.

The transformation of the Islamic education curriculum based on digital literacy is an essential step to enhance student engagement in higher education learning. This study aims to examine the implementation of digital literacy in the Islamic education curriculum and its impact on the quality of learning. A qualitative approach was used, involving observation, interviews, and documentation. The findings show that although some Islamic higher education institutions have integrated technology into learning, challenges related to lecturer readiness, digital access inequality, and limited resources remain major obstacles. Students responded positively to digital-based learning, which provided easier access to study materials and facilitated online interaction. However, the digital access gap needs to be addressed promptly to create a more equitable learning experience. The implications of this study suggest the need for ongoing lecturer training, improved technological infrastructure, and curriculum policies that support more effective integration of digital literacy in Islamic higher education.

The world of education has undergone a major shift as a result of advances in information and communication technology. This study compares conventional and digital learning methods for distance learning (PJJ) across the board, with the aim of finding out what is effective, what is not effective, and how the two methods affect student learning outcomes and experiences. Conventional learning, which relies on direct interaction between teachers and students, emphasizes elements such as giving feedback, easy to do, structured, and routine. It has the advantage of being able to facilitate direct interpersonal communication, provide intensive supervision and guidance, and create a competitive learning environment. However, this method has some limitations, especially in terms of time and space flexibility. It is also not able to meet the learning needs of individuals in large groups. On the other hand, digital learning offers greater flexibility, access to a wide range of educational resources, and increased interactivity through the use of online collaboration tools, e-learning platforms, and video conferencing. The use of technology allows learning content to be presented in a systematic, structured and engaging manner, increasing student motivation and participation. In addition, it allows materials to be tailored to each student's learning style and conditions, and supports collaborative and independent learning. Challenges include the possibility of misuse of technology, limited access in some areas, lack of direct social interaction, and reliance on digital infrastructure and capabilities. The research results indicate that digital learning generally enhances student learning outcomes more significantly compared to conventional learning, especially in terms of distance learning (PJJ). Digital strategies such as structured instructional design, integration of practical experiences, motivational support, and time management have been shown to improve student interaction, understanding, and independence. However, digital and conventional learning methods can complement each other to achieve optimal effectiveness. The application of these strategies not only boosts students' academic performance but also equips them with the essential skills to tackle future challenges. 

This study aims to analyze the impact of online learning on students' learning independence at the secondary school level. The research is motivated by the significant shift in the education system due to the pandemic, which required students to adapt to technology-based distance learning. A descriptive qualitative approach was employed, utilizing data collection techniques such as observation, interviews, and documentation, supported by quantitative questionnaires from previous studies. The findings indicate that online learning has both positive and negative effects on students' learning independence. Positive impacts include increased student responsibility in completing assignments, ease of accessing learning materials anytime and anywhere, and enhanced parental involvement in supporting their children's learning at home. However, negative effects were also identified, such as students' tendency to engage excessively in gaming, reduced effectiveness of the learning process, and delays in task submission due to workload accumulation. Regression analysis results show a significant influence between online learning and learning independence, although the effect is moderate to low in some cases. Factors such as learning motivation, self-efficacy, and the support of the online learning environment play crucial roles in shaping student independence. The study recommends collaboration among government, schools, teachers, parents, and the wider community to improve the quality and quantity of online learning facilities, as well as more varied learning strategies to optimally support the development of students' learning independence.

This study was motivated by the existence of online tutoring users ruangguru at SMA Negeri 5 Bukittinggi and aims to determine how much influence online tutoring (Ruangguru) has on the learning outcomes of students at SMA Negeri 5 Bukittinggi. This study uses a quantitative research method with a simple regression approach. The sampling technique uses purposive sampling where the sampling is based on certain considerations, the sample of this study was students in grades 1, 2, and 3 at SMA N 5 Bukittinggi totaling 65 people. Data were obtained through a questionnaire using a Likert scale that had been tested for validity. Data validity techniques use validity and reliability tests. Statistical testers with assumption test analysis (normality and linearity), linear regression analysis, hypothesis testing (F test and R2 test). Based on the analysis and data from the research results processed using the SPSS 22.0 computer program, it shows that partially it can be seen that the Variable X Ruangguru Online Learning Guidance on student learning outcomes has a constant of 19.993 and a coefficient value of 0.323 has a significance of 0.200> 0.05. It can be concluded that there is an influence of Ruangguru Online Learning Guidance on Student Learning Outcomes. Based on the Simultaneous test, the influence of Ruangguru Online Learning Guidance on Learning Outcomes is that f count 75.083> f table 2.90 and has a significant figure of 0.000 <0.05. This means that there is a Positive influence between Ruangguru Online Learning Guidance on Student Learning Outcomes at SMA N 5 Bukittinggi. With a determination coefficient value obtained of 0.544, this means that there is an influence of 29.59%, while the rest is influenced by other variables that are not studied.

This study explores the effectiveness of the implementation of blended learning at SDN 1 Labuhan Sreseh Sampang, with a focus on increasing students' interest and learning outcomes. Blended learning, which combines face-to-face and online learning methods, provides greater flexibility and accessibility, which has the potential to increase student engagement and participation in the learning process. Quantitative methods were used in this study to collect data from 45 students through questionnaires designed to measure interest and learning outcomes. The results of the analysis showed that the application of blended learning had a significant positive effect on increasing students' interest and learning outcomes. These findings confirm that blended learning can be an effective approach to improve the quality of education at the primary school level, especially in the face of the challenges of the digital era and technological advances in education.  

This study aims to analyze the role of Islamic economics in regulating online gambling which is increasingly popular among Indonesian people, even Muslims. This study uses a qualitative method with a literature study approach to analyze the impact of online gambling and offers solutions based on Islamic economic principles. The data collected in this study were analyzed by reading, reviewing, and summarizing the results of previous studies that have been conducted on the influence of learning motivation on academic achievement in economics subjects. The results of the study indicate that online gambling damages five main aspects of the maqashid sharia, namely religion, soul, mind, property, and descendants. To overcome this problem, Islamic economics offers an approach to Islamic financial literacy education, economic empowerment through Islamic microfinance institutions such as Baitul Maal wat Tamwil (BMT), and strengthening government regulations in prohibiting and supervising online gambling practices. This study recommends collaboration between the government, financial institutions, and Islamic organizations to increase public awareness, strengthen spiritual values, and create halal economic opportunities as a more productive alternative. Thus, the application of Islamic economic principles is expected to be able to create a just, prosperous, and free society from online gambling practices.

This study aims to examine the importance of using cultural language as a communication style for students in the digital era at MTsN 1 Kota Serang. The rapid development of digital technology affects the way they communicate, including among students. The use of language that is not in accordance with cultural rules is often found in online interactions, which has the potential to damage cultural values and social norms. Therefore, it is important to instill an understanding of the importance of cultural language as part of students' identity and character. This study uses a qualitative approach with interview and observation methods to explore the views of students, teachers, and parents regarding the application of cultural language in digital communication. The results of the study show that although students are accustomed to using digital technology, they still need to be given a deeper understanding of the use of language that is in accordance with local culture and applicable norms. It is hoped that the results of this study can be the basis for designing a cultural language education program in the curriculum, as well as increasing students' awareness of the importance of communicating politely and ethically in the digital world. This study also provides recommendations for schools in facilitating cultural language learning as part of student character formation.

This study aims to analyze the role of Christian Religious Education Teachers in shaping the Emotional Quotient (EQ) of Alpha Generation children, as one of the efforts to welcome the Golden Indonesia 2045. The Alpha Generation that grows up in technological developments and global challenges requires high emotional intelligence to be able to adapt well in the future. using a qualitative method with a literature study approach, which collects theories and information from academically accountable sources such as books, journals, the Bible, and online media. The researcher selected relevant literature materials to discuss the role of Christian Religious Education teachers in shaping the emotional quotient (EQ) of Alpha Generation children. The main purpose of this study is to explore how PAK teachers can play a role in shaping children's EQ through a learning approach based on Christian religious values, as well as to find out the strategies and methods used in teaching to improve children's emotional intelligence. The results of this study are expected to contribute to the development of character education, especially in the context of Christian religious education, to support the achievement of the Golden Indonesia 2045 by producing a generation that is emotionally, socially, and spiritually intelligent.

In the current digital era, SMEs in the culinary sector face challenges in adopting technology to improve operational efficiency. One solution to address this issue is the use of a simple and cost-effective QR Code-based application. This study aims to develop and implement siMenu, an application that provides table, order, and product management solutions without integrating complex digital payment systems. The method used is Project-Based Learning (PBL), which allows the development of technical skills while designing a sustainable business model through Business Model Canvas (BMC). The results show that siMenu successfully improved operational efficiency for SMEs, reduced ordering errors, and provided an easy-to-adopt solution with low implementation costs. However, challenges in application development and building user trust remain obstacles. The conclusion of this study is that simple digital solutions like siMenu can help SMEs in the culinary sector digitally transform and stay competitive in an increasingly evolving market.  

This study aims to measure and analyse the relationship between variables and obtain an accurate picture of the most significant factors in predicting student achievement motivation in online learning including internal, external, type of learning, psychological variables, fatigue variables, and achievement motivation of non Pendas Open University students in online learning. The research approach is ex-post facto quantitative method. With a sample size of 200 people, with research variables internal variables (X1), psychological variables (X2), fatigue variables (X3), external variables (X4), learning type variables (X5) and achievement motivation (Y). Data was collected using a questionnaire with a Likert scale of 1-4. Then the data was analysed using the Partial Least Square (PLS) method by looking at the p-value, by measuring the outer model and inner model. The results showed that external variables have a significant and high influence on achievement motivation with a statistical T value of 3.196, p-value 0.001, and F square 0.104. This indicates that external factors, such as environmental support and facilities, play an important role in motivating students. Internal variables and learning types also have a significant influence with a medium effect strength, indicated by an F square value of 0.061. Internal factors, including self-management and intrinsic motivation, as well as the type of learning methods used, play a moderate role in influencing students' motivation. Psychology also had a significant effect with moderate strength (F square 0.037), signalling the importance of students' mental and emotional state. Meanwhile, fatigue showed no significant effect on achievement motivation (T statistic 0.684, p-value 0.494).

This study aims to analyze the effectiveness of ChatGPT as a tool to help students complete academic assignments. Using a quantitative descriptive method, this study involved 150 6th semester students of the Mathematics Education Study Program selected through a simple random sampling technique. Data were collected through an online questionnaire that measured the intensity of ChatGPT use, ease of understanding the material, and its impact on learning outcomes. The results showed that the majority of students felt helped by the use of ChatGPT, especially in compiling essay assignments, understanding complex academic concepts, and increasing self-confidence in solving math problems. However, it was found that excessive use has the potential to reduce learning motivation if students rely too much on instant answers. Therefore, wise use of ChatGPT and integration with conventional learning methods is highly recommended so that students continue to develop critical thinking skills and independence in learning.

Education in Indonesia faces various challenges to meet the demands of a growing society. One of the important aspects in improving the quality of education is teacher competence. The leadership of the principal plays a significant role in encouraging the improvement of teacher competence, which in turn will have an impact on the quality of learning in schools. This study aims to describe how the principal's leadership in improving teacher competence at State Elementary School 09 Pemouthan, as well as the factors that support and hinder the process and how to overcome these obstacles. This research uses a qualitative descriptive approach through observation, interviews and documentation. The results of the study show that the principal of State Elementary School 09 Pemouthan in improving teacher competence has implemented various leadership strategies, including by acting as an educator, manager, administrator, supervisor, leader, innovator and motivator to improve teacher competence. The supporting factors encountered include the provision of resources, the use of technology in learning, and creating a positive work environment. Meanwhile, inhibiting factors include budget limitations, resources, time, lack of self-motivation and resistance to change. To overcome this, the principal encourages teachers to optimize the use of technology and the internet to access online training materials, build a positive learning culture by forming a learning community and involving driving teachers as resource persons, as well as providing rewards as competency support.

Facial expressions are primary indicators of human emotions, often providing deeper insights than words (Oliver & Alcover, 2020). This study focuses on Mood as a natural response to past experiences, emphasizing its importance for psychological well-being. Over the past five years, the Covid-19 pandemic has triggered a significant global mental health crisis, affecting facial expressions and leading to varying degrees of depression and anxiety. Generation Z, particularly students, have been severely impacted, experiencing declines in academic abilities such as attention and memory (Qorik et al., 2020; Uswatun et al., 2020).In the educational context, the online learning systems adopted during the pandemic have introduced new challenges for students, including technical issues, lack of direct interaction, and less effective delivery of material, all of which contribute to increased academic stress (Rahmayinita, 2020; Utami et al., 2020). Enhancing the affective aspects of online education is crucial to better simulate face-to-face interactions (Bloom et al., 1984; Marzano & Kendall, 2007). This research aims to detect the Mood of students in online learning environments using advanced technology. The system is designed to assist educators in recognizing the academic stress levels of their students, enabling them to develop more creative and responsive teaching strategies (Zulfikri et al., 2023).

The online learning media that has been designed and developed is called Ayo Belajar. Online learning media is a platform used to deliver learning materials to students via the internet. This learning media aims to help students learn more easily, anytime and anywhere, by accessing content in the form of text and videos.The research aims to design engaging and user-friendly learning media for students. Therefore, the UI/UX design is developed using the Design Thinking method. The process consists of five stages: initial product requirement, empathize, define, ideate, and prototype.Based on the System Usability Scale (SUS) testing results, Ayo Belajar received a "Good" category, with a Grade B, as evaluated from respondents' usage.

Advances in information and internet technologies have significantly transformed the business environment, including the financial sector. The COVID-19 pandemic has further accelerated this digital adoption, expanding the e-commerce industry and highlighting the necessity for secure online transactions. Credit Card Fraud Detection (CCFD) stands critical as the prevalence of fraudulent activities continues to rise with the increasing volume of online transactions. Traditional methods for detecting fraud, such as rule-based systems and basic machine learning models, tend to fail to keep pace with fraudsters' evolving tactics. This study proposes a novel ensemble deep learning-based approach that combines Convolutional Neural Networks (CNN), Gated Recurrent Units (GRU), and Multilayer Perceptron (MLP) with the Synthetic Minority Oversampling Technique and Edited Nearest Neighbors (SMOTE-ENN) to address class imbalance and improve detection accuracy. The methodology integrates CNN for feature extraction, GRU for sequential transaction analysis, and Multilayer Perceptron (MLP) as a meta-learner in a stacking framework. By leveraging SMOTE-ENN, the proposed approach enhances data balance and prevents overfitting. With synthetic data, the robustness and accuracy of the model have been improved, particularly in scenarios where fraudulent examples are scarce. The experiments conducted on real-world credit card transaction datasets have established that our approach outperforms existing methods, achieving higher metrics performance.

Human Resource Management (HRM) is a very important part of an organization. In the digital era, HRM can be done more efficiently through mobile applications that allow access to employee data, HRM processes, or online attendance. However, the ability of an HRM mobile application to succeed depends on the usability factor or ease of use by users.  Talenta is one of Mekari's business platforms that provides a complete solution for all Human Resources (HR) and payroll management issues. Talenta is an application that will be used for Usability Testing using Cognitive Walkthrough. The initial stage in starting Usability Testing on the mobile-based Talenta application with the Cognitive Walkthrough method begins with conducting a literature study, learning the system or application, then making scenario questions based on the system. Then, respondents will be asked to complete the scenario questions. The scenario data collected includes; data on success in completing the scenario, data on errors in completing the scenario, and data on the time required to complete the scenario. Finally, the interview stage will be continued with the respondents on the scenarios that have been carried out. The scenario and interview data will be analyzed to calculate the effectiveness and efficiency aspects of the Talenta application. After the analysis stage, users will be given a System Usability Scale (SUS) questionnaire to be answered using Google Form using a Likert scale. The results of the questionnaire will be analyzed using SUS calculations, and then suggestions and conclusions will be given in the aspect of user learning ability. After usability testing of Talenta mobile application using Cognitive Walkthrough and SUS methods, the following results were obtained: 78% effectiveness; 0.10 seconds efficiency; and 67 learning ability level. Talenta has met the usability criteria for mobile applications in general, including effectiveness and efficiency in using the ISO 9241-11 model. However, there are still shortcomings in the user learnability level. To improve the usability of this application, it is recommended to change the layout, menu, add features, as well as clarify some display features.