International Journal of artificial intelligence research (IJAIR)
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Effective Digital Marketing Strategies In Deciding To Buy Halal Products (Empirical Study On New Students Of The Faculty Of Economics, Semarang University)
Get PDFThe research was conducted to produce a formulation of the concept ofDecision to Buy Halal Products in Generation Z with Digital Marketingas a new paradigm of business success perspective, in New Students ofthe Faculty of Economics, University of Semarang The Decision to BuyHalal Products in Generation Z was built through efforts to identify theUse of Social Media, Marketing Influencers and Lifestyle with theUnderstanding of Halal Products as a moderation of the relationshipbetween the Use of Social Media and Lifestyle with the Decision to BuyHalal Products in Generation Z represented by New Students of theFaculty of Economics, University of Semarang. New students of theUniversity of Semarang became the population, while a sample of 175was calculated using the Lemeshow formula. Medelling StructuralEquation (SEM) analysis with the application of the Partial LeastSquare (PLS) program, namely smartPLS.4.0 is used to prove thehypothesis. The results of hypothesis testing show that the Decision toBuy Halal Products is actualized through the Use of Social Media,Influencer Marketing and Lifestyle. The Use of Social Media,Marketing Influencers and Lifestyle directly has a significant effect onthe positive direction of the Decision to Buy Halal Products,Understanding Halal Products is not able to moderate the relationshipbetween the Use of Social Media and Lifestyle in the Decision to BuyHalal Products. The decision to buy Halal products in Generation Z isinfluenced by the Use of Social Media, Marketing Influencer andLifestyle by 53.00%. The research model has a QSquare of 0.2809(>0), which means that the model has strong predictive relevance.Understanding Halal Products in Deciding to Buy Halal Products inGeneration Z
Transforming Learning in Primary Schools: The Role of AI and Flipped Classroom-based Apps
Get PDFIn today's digital era, the flipped classroom is gaining popularity for its ability to increase student engagement and meaningful learning. In the flipped classroom, there are learning videos and assignments given to students to study at home. For this reason, a simple and adaptive application is needed for students to use. Referring to this, it is known that in several regions in Indonesia there are still schools and communities that are not adaptive to technological developments and are still considered complicated and confusing. For this reason, this article aims to test the effectiveness of flipped classroom-based learning applications by applying joyfull learning for elementary school students. This research uses a quasiexperimental version of the control group design, the factorial analysis technique of 2x2 nonequivalent design used Analysis of Variance (ANOVA). The results showed that there was a very significant difference in learning outcomes for Aqidah akhlak subjects in the experimental class and control class. And there is an interaction between Joyfull learning and Flipped classroom application based on Flipped classroom on student learning outcomes. The findings of this study are that the kelasbalik.id application is very adaptive for teachers, parents, and students who are gaptek so that it can improve students' learning experienc
Model Of Leadership Style And Employee Creativity: Through Creative Self Efficacy Mediation And Knowledge Sharing As Moderating Variables To The Bintan District Government
No full textIn government it sself, employee innovation has an important role in supporting employee creativity. Especially in Bintan Regency, regional innovation in Bintan Regency refers to Law Number 23 of 2014 concerning Regional Government in article 386 which states that in order to improve the performance of Regional Government administration, Regional Government can carry out innovation. This research was conducted with the aim of carrying out theoretical confirmation based on sample data which focused on the issue of Creative Self Efficacy as a mediating variable and the Knowledge Sharing variable as a moderating variable which was linked to Employee Creativity as the dependent variable and became the object of research as well as the leadership style variable (Transformational Leadership and Leadership transformational) as an independent variable and also as a subject in this researcher. The population of this research is all Echelon III ASN who work in the Bintan Regency Regional Apparatus Organization (OPD), totaling 146 people. The total population in the study was 146 people and the entire research instrument. The results of this research are 1) transformational leadership has a significant effect on creative self-efficacy. 2) transformational leadership has a significant effect on employee creativity. 3) transformational leadership has a significant effect on employee creativity. 4) transformational leadership has no significant effect on employee creativity. 5) creative self-efficacy has a significant effect on employee creativity. 6) moderation of knowledge sharing on the transformational leadership variable has a significant effect on creative self-efficacy. 7) moderation of knowledge sharing on the transformational leadership variable has a significant effect on creative self-efficacy. 8) moderation of knowledge sharing on the transformational leadership variable has no significant effect on employee creativity. 9) moderation of knowledge sharing on the transformational leadership variable has a significant effect on employee creativity. 10) moderation of knowledge sharing on the transformational leadership variable has a significant effect on creative self-efficacy. 11) transformational leadership indirectly has a significant effect on employee creativity through creative self-efficacy. 12) transactional leadership indirectly has a significant effect on employee creativity through creative self-efficac
Measuring Work Productivity In Improving Employee Performance Based On Work Discipline
Get PDFThe purpose of the study is to analyze the role of work discipline in improving employee performance with work productivity as an intervening variable at PT. Sejahtera Mandiri of Semarang. This study uses a quantitative method using a questionnaire to collect the necessary data. The research sample consisted of 98 people obtained through a census technique. The analysis used to process the data used the Structural Equation Model (SEM) through the Partial Least Square (PLS) approach with the help of the SmartPLS ver. 3.2.9 program. The results of this study indicate that work discipline and work productivity have a positive and significant effect on employee performance. Work discipline indirectly through work productivity as an intervening variable has a significant effect on employee performanc
Bearing Capacity in Reinforced Soil: A Systematic Review of Modern Assesment Methods
Get PDFThis systematic literature review aims to thoroughly analyze the probabilistic methods used to assess the bearing capacity of reinforced soil , with a focus on identifying research trends, gaps, and evaluating various techniques such as Monte Carlo simulation, reliability-based design, and the stochastic finite element method (SFEM). The review follows established SLR protocols, employing purposive sampling from scientific databases such as Scopus to select peer-reviewed articles and conference papers. The dataset includes 113 full-text articles, 9 books, and 420 non-full-text entries, totaling 542 sources. Data collection was guided by predetermined inclusion and exclusion criteria, and a coding framework was utilized to categorize and compare key variables, including probabilistic methods and research outcomes. Qualitative synthesis was used for theme extraction, while quantitative assessment evaluated the effectiveness of the methods. The main contribution of this study lies in highlighting the strengths, limitations, and practical applicability of various probabilistic approaches, while advocating for the further integration of probabilistic and deterministic methods to enhance the reliability of soil reinforcement design. This review provides valuable insights for geotechnical engineers and researchers, advancing the understanding of probabilistic methods in improving the performance of reinforced soil
Impact and Sustainability of Regional Development Center Point of Indonesia Makassar
Get PDFThis study aims to understand changes in spatial structure and spatial patterns in the coastal area in the Makassar urban system due to land use conversion. This study uses a qualitative approach, by collecting data through observation, visual analysis, literature study, interviews, and documentation. The results of the study show that changes in spatial use in the Center Point of Indonesia area have led to the marginalization of local communities. Intensive land conversion has changed the work system of local communities, replacing them with the urban industrial community work system. The orientation of the development of the Center Point of Indonesia area is to create business opportunities for people engaged in the informal sector, tourism, transportation, and other service sectors, as well as create a friendly and modern environmental area. Overall, this beach reclamation has a positive impact on the environment that is sustainable and provides business opportunities and increased income for the communit
Comparison of Ensemble Learning Methods for Mining the Implementation of the 7 Ps Marketing Mix on TripAdvisor Restaurant Customer Review Data
Get PDFThe 7P marketing mix encompasses various business facets, notably the Process element governing internal operations from production to customer service. With the surge in online customer feedback, assessing machine learning efficacy, especially ensemble learning, in classifying 7P-related customer review data has gained prominence. This research aims to fill a gap in existing literature by evaluating ensemble learning’s performance on 7P classification, an area not extensively explored despite prior sentiment analysis studies. Employing a methodology merging Natural Language Processing (NLP) with ensemble learning, the study processes restaurant reviews using NLP techniques and employs ensemble learning for precision and accuracy. Findings demonstrate that DESMI yielded the highest performance metrics with accuracy at 0.697, precision at 0.699, recall at 0.697, and an F1-score of 0.684. These outcomes underscore ensemble learning's potential in handling complex datasets, signifying its relevance for marketers and researchers seeking comprehensive insights from customer reviews within the 7P marketing mix domain. This study sheds light on how ensemble learning outperforms its foundational methods, indicating its prowess in extracting meaningful insights from diverse and intricate customer feedback
Implementation of Digital Marketing Strategy with Chatbot Technology
No full textChatbots are a rapidly growing technology in the field of digital marketing. They are computer programs designed to simulate conversation with human users. Chatbots can be integrated into websites, mobile apps, and messaging platforms to provide instant customer service and support, as well as personalized recommendations and promotions. By using natural language processing (NLP) and machine learning (ML) techniques, chatbots can understand and respond to user input in a human-like manner. They can also be programmed to respond to specific keywords, trigger events, and customer behavior. Chatbot implementation in digital marketing can help companies to improve customer engagement, increase sales and reduce costs. However, the key to successful chatbot implementation is to ensure that the chatbot is designed to meet the specific needs of the target audience and that it is integrated into the overall marketing strategy. This thesis explains the beneficial role of chatbots and shows how chatbots can be integrated into digital marketing strategies
Enchancing Online Consumer Experience Through Artificial Intelligence In CRM: The Mediating Role of Digital HR
Get PDFThis study aims to analyze the impact of implementing Artificial Intelligence (AI) in managing Customer Relationship Management (CRM) on online consumer experience, with the role of digital HR as a mediator. The implementation of AI in CRM has become an increasingly popular strategy among companies to improve customer interaction, personalization, and satisfaction. However, its effectiveness depends not only on the technology used, but also on the ability of digital HR to manage and optimize it. The research method used is a quantitative approach with a survey of 200 online consumers who interact with companies that use AI-based CRM. Data were analyzed using a path analysis model to test the direct and indirect relationships between independent variables (AI implementation in CRM), mediator variables (digital HR competencies or roles), and dependent variables (online consumer experience). The results of the study show that the implementation of AI in CRM has a significant positive effect on online consumer experience. In addition, digital HR competency acts as a strong mediator, where high HR quality in managing AI technology strengthens the relationship between AI use and improved consumer experience. These findings indicate that in addition to investing in AI technology, companies need to focus on improving digital HR competency to achieve optimal results. This research provides practical implications for companies in designing more effective customer management strategies by combining AI technology and HR development. In addition, these results also provide insights for academics for further research on the role of digital HR in the era of automation and digitalization
CONTRIBUTION OF SOCIAL CAPITAL AND POLITICAL MARKETING TO THE FIGURE OF THE MILLENNIAL GENERATION IN LOCAL POLITICAL CONTESTS IN INDONESIA (Case Study of Muhammad Bobby Afif Nasution's Victory in the 2020 Medan City Pilkada)
No full textThis study aims to analyze the political marketing strategy, social capital, and millennial generation of the Bobby and Akhyar pair in the 2020 Medan City Pilkada. This study uses a qualitative case study research method. The research design in this study uses an explanatory case study. The research data consists of primary data and secondary data. The data collection techniques used by the researcher are Documentation, Interviews, and Observation. Based on the results of the study, it shows that the political marketing strategy and social capital carried out by Bobby Nasution as a millennial political actor in the 2020 Medan City Pilkada are by implementing puss marketing (direct meetings with the community), pull marketing (utilizing media in branding his image), pass marketing (utilizing the support of influential figures in campaigning for his political ideas). Bobby Nasution's social capital consists of friendships with influential figures in Medan City, being active as a member of the PDI Party, as the son-in-law of Mr. Jokowi as President of Indonesia and others. The relationship between aspects of political marketing, social capital and millennial political actors in the victory of the Bobby-Aulia pair in the 2020 Medan City Pilkada, namely the victory obtained by the Bobby Nasution pair in the 2020 Medan City Pilkada cannot be separated from the contribution of political marketing carried out, the social capital owned and their brand image as millennial political actors. The three aspects above are interconnected in their implementation, for the ideas and political promises offered will be conveyed through direct meetings with the community, uploaded on social media, forwarded by influential figures, and channeled and assisted by the social capital they have, such as being campaigned by their supporting parties, by their business relations, or by youth communities that are included in the millennial generation community