Abstract:Abstract also written in English containing key issues, objectives, methods and results. Abstract This study examines the role of service creativity in the performing arts ecosystem within the context of cultural tourism,…
m, highlighting how service processes contribute to value creation beyond the artistic aspect. Cultural tourism has shifted from an object-based orientation to an experiential one, understanding performing arts not merely as a creative product but as an experience constructed through interactions between service providers and consumers. In this context, service becomes an integral part of the value creation process and audience satisfaction. This research uses a qualitative approach with a single case study method at PT Mata Hati Kitapoleng, a performing arts company in Bali. Data collection was conducted through in-depth semi-structured interviews and non-participatory observation. This research focuses on how service creativity is built through organizational processes, interactions, and practices. The results show that service creativity is formed through a structured yet flexible process, which integrates empathy for consumers, team collaboration, idea exploration, and continuous evaluation. The design thinking approach enables companies to deeply understand consumer needs and translate them into personalized and meaningful experiences. Service in this context is understood as a co-creative process, where consumers play an active role in shaping the final outcome. Furthermore, consumer satisfaction is influenced by various factors, such as trust, production and financial efficiency, innovation capacity, and evaluation and feedback mechanisms. This research confirms that service creativity is a strategic element in enhancing the competitiveness and sustainability of performing arts businesses within the cultural tourism ecosystem.
Abstract:Artificial intelligence is likely to have a significant impact on marketing strategies and customer behaviors in the years ahead. Research in this field has grown considerably, demonstrating AI's ability to simulate human…
n behavior and perform tasks intelligently. With growing interest among marketing researchers and practitioners, this research aims to provide an overview of the evolution of both marketing and AI research fields. This paper explores the emerging role of artificial intelligence in personalized engagement marketing, which focuses on creating, communicating, and delivering customized offerings to customers. Utilizing the Systematic Literature Review technique, we examined over 300 academic articles to uncover prevalent themes and gain a deeper understanding of current AI utilization in marketing. We then propose a plan for future research that examines potential changes in marketing strategies and customer behaviors while emphasizing critical policy considerations related to privacy, bias, and ethics. The implications for marketing managers are discussed along with predictions about how AI will impact branding and customer management practices going forward. Our research highlighted several benefits of integrating AI into marketing such as improved customer interactions, increased revenue, reduced expenses, and enhanced overall efficiency. However, this research also pointed out areas requiring further investigation including challenges posed by AI integration like shortage of skilled personnel and data privacy concerns.
Abstract:This research aims to analyze the influence of facilities and service quality on member satisfaction at the Golden Stik Kelapa Dua Depok Gym. In the fitness industry, member satisfaction is an important factor that determines…
mines the success and sustainability of a fitness center. This research uses quantitative methods with a survey involving a number of Golden Stik Gym members as respondents. The data collected was analyzed using statistical techniques to determine the influence of facilities and service quality on member satisfaction. The research results show that both facilities and service quality have a significant influence on member satisfaction. Complete and high-quality facilities, such as modern equipment, maintained cleanliness and comfortable spaces, contribute positively to member satisfaction. Apart from that, service quality, which includes staff professionalism, responsiveness to member needs, and the ability to provide personalized service, has also been proven to have a big impact. This research provides valuable insight for Golden Stik Gym management in their efforts to increase member satisfaction. In addition, the results of this research can be used as a reference for other fitness centers in developing strategies to increase their member satisfaction and loyalty. With the right focus on improving facilities and services, it is hoped that fitness centers can meet member expectations and continue to grow in this competitive industry
Abstract:Perkembangan pesat teknologi Artificial Intelligence (AI) telah mengubah lanskap pendidikan tinggi secara signifikan, terutama dengan hadirnya tutor virtual berbasis AI yang mampu memberikan umpan balik cepat, tepat, dan…
personal. Analisis Real merupakan salah satu mata kuliah yang paling menantang dalam program pendidikan matematika karena sifat abstraknya sering menyebabkan rendahnya self-efficacy mahasiswa. Penelitian ini bertujuan menganalisis pengaruh pemanfaatan AI sebagai tutor virtual terhadap self-efficacy mahasiswa Pendidikan Matematika Universitas Asahan yang menempuh mata kuliah Analisis Real. Penelitian menggunakan pendekatan kuantitatif dengan desain quasi-experimental one-group pretest-posttest, melibatkan 15 mahasiswa yang dipilih melalui purposive sampling. Instrumen angket self-efficacy dikembangkan berdasarkan tiga dimensi Bandura (magnitude, strength, generality), divalidasi melalui expert judgment dengan Cronbach’s Alpha sebesar 0,84. Hasil analisis deskriptif menunjukkan peningkatan rata-rata skor self-efficacy dari 65,67 (pre-test, kategori sedang) menjadi 79,93 (post-test, kategori tinggi), dengan peningkatan sebesar 21,7%. Uji Wilcoxon Signed-Rank Test menghasilkan nilai Z = −3,408 dengan p-value = 0,001 (p < 0,05), yang mengkonfirmasi terdapat perbedaan signifikan self-efficacy mahasiswa sebelum dan sesudah intervensi enam minggu menggunakan AI tutor virtual.
The rapid development of Artificial Intelligence (AI) technology has significantly transformed higher education, particularly through AI-based virtual tutors capable of providing fast, precise, and personalized feedback. Real Analysis, one of the most challenging mathematics education courses, frequently causes low self-efficacy among students due to its abstract nature and demands for formal proof-writing. This study examines the effect of utilizing AI as a virtual tutor on self-efficacy of mathematics education students at Universitas Asahan. A quantitative quasi-experimental one-group pretest-posttest design was employed with 15 students selected via purposive sampling. The self-efficacy questionnaire was based on Bandura’s three dimensions: magnitude, strength, and generality, validated by expert judgment with Cronbach’s Alpha coefficient of 0.84. Descriptive analysis results showed an increase in mean self-efficacy scores from 65.67 (pre-test, moderate category) to 79.93 (post-test, high category), representing a 21.7% improvement. The Wilcoxon Signed-Rank Test yielded Z = −3.408 with p-value = 0.001 (p < 0.05), confirming a significant difference in student self-efficacy before and after the six-week AI virtual tutor intervention.
Abstract:The development of artificial intelligence (AI) technology, especially deep learning, has made significant contributions in various fields, including the world of education. In the context of Islamic Religious Education…
(PAI), the biggest challenge today is how to deliver teaching materials effectively, adaptively, and relevant to the development of the times and the characteristics of the digital generation. Deep learning implementations offer a variety of opportunities to support a more personalized, interactive, and efficient learning process. Through an algorithm-based approach, deep learning is able to process student learning data to provide a learning experience tailored to individual learning styles. The application of this technology also allows for automatic assessment of students' understanding through text, voice, and expression analysis, so that teachers can focus more on providing character development and spiritual values. On the other hand, the use of AI-based chatbots and intelligent assistants can facilitate discussions and consultations about Islamic teachings instantly and factually. The methodology used in this study is a descriptive qualitative study with a literature study and case study approach. Data were collected through a review of national and international scientific literature and focused observations on the practice of AI implementation in several madrassas and Islamic schools in Indonesia. The analysis was carried out thematically by identifying patterns, opportunities, and challenges of applying deep learning in PAI learning. The results of this study are expected to make a scientific contribution to the development of technology-based Islamic education in the digital era.
Abstract:Digital transformation has become a crucial aspect of organizational strategies in various industries, including the business sector. This systematic literature review (SLR) focuses on understanding digital transformation…
n within organizational business contexts. Through a systematic search of academic databases, The review explores key themes such as technological innovations, operational changes, customer-centric approaches, regulatory implications, and organizational adaptation. Technologies are driving significant changes, enabling organizations to streamline processes, enhance decision-making, and improve overall efficiency. Moreover, digital transformation is reshaping customer experiences, with personalized services and seamless interactions becoming essential for organizational success. Despite the benefits, organizations face challenges such as regulatory compliance, cybersecurity risks, and cultural resistance. By synthesizing existing research, this SLR aims to provide insights and guidance for organizations navigating the complexities of digital transformation in the organizational business landscape in the organizational business.
Abstract:The increasing popularity of slow bar coffee shops in Indonesia reflects a shift in consumer preferences towards more personalized, immersive, and educational coffee experiences. This study aims to examine the effect of…
Experience Value, consisting of Customer Return on Investment (CROI), Service Excellence, Aesthetics, and Enjoyment, on Brand Love and Customer Loyalty through the mediating role of Customer Satisfaction among customers of Lajeng Coffee Shop in Bandung. A quantitative survey was conducted using purposive sampling, collecting 251 valid responses through a Likert scale questionnaire, and the data were analyzed with Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS. The results show that Experience Value has a significant effect on Customer Satisfaction (β = 0.721; p < 0.001). Customer Satisfaction acts as a partial mediator in the relationship between Experience Value and Brand Love and Customer Loyalty. Furthermore, the effect of Customer Satisfaction on Customer Loyalty (β = 0.462; p < 0.001) is stronger than its effect on Brand Love (β = 0.441; p < 0.001), indicating that satisfaction is more easily translated into loyal behavior than into emotional attachment. These findings extend customer experience research in the slow bar context and offer practical guidance for managers to prioritize experience investments that strengthen loyalty and brand love.
Abstract:This study aims to investigate the integration of Artificial Intelligence (AI)-based learning media to enhance reading literacy among elementary school students. Using a descriptive qualitative approach through case study…
y and literature analysis, the research was conducted at SDN No. 100311 Palsabolas, involving teachers and students who utilized adaptive reading applications, text-to-speech tools, and intelligent learning platforms. Data were collected through observation, semi-structured interviews, and document analysis, and validated by triangulation techniques. The findings reveal that AI-assisted media significantly improve students’ reading motivation, comprehension, and fluency. Quantitative comparison between pretest and posttest results showed notable progress, with the average literacy score increasing by 16–27 points across different indicators. Students demonstrated greater engagement and independence, while teachers benefited from automated performance analytics and personalized feedback tools. However, challenges emerged related to device limitations, technical competence, and overreliance on automated features. The study concludes that AI-based learning media serve not only as technological tools but also as pedagogical instruments that personalize instruction, foster digital literacy, and transform reading classrooms into more adaptive, interactive, and student-centered environments.
Abstract:The rapid advancement of artificial intelligence (AI) offers new opportunities to enhance teaching and learning in early education. This study applies deep learning approaches to support early cognitive development among…
primary students in an Indonesian Islamic school. A hybrid Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) model was designed to analyse students’ cognitive patterns, attention, and engagement. Using a mixed-methods design, the research involved 60 students aged 8–10 at MIS Terpadu Alhijrah Bintuju. The model processed multimodal classroom data to generate adaptive feedback and personalized learning pathways. Results showed significant improvements in attention (+18%), memory recall (+22%), and problem-solving (+25%) after eight weeks of AI-assisted learning. Qualitative findings revealed higher motivation, engagement, and self-regulation. The study demonstrates that culturally aligned AI systems can effectively enhance early cognitive development and promote learner autonomy in Islamic primary education.
Abstract:This research aims to understand the influence of Sales Promotion, Utilitarian, Self-Esteem, and Hedonic Motive on Purchase Decisions with Impulse Buying and Behavior Intention as intervening variables in Shopee. The research…
earch method used is quantitative with a descriptive approach using a Likert scale. Using the SEM data analysis method. The population of this study is Shopee application users in Indonesia, especially generation Z (1997-2012), with 285 respondents taken using non-probability sampling techniques. The research results show that Sales Promotion, Utilitarian, Self-Esteem, and Hedonic Motive have a positive effect on Purchase Decision. Apart from that, Sales Promotion also has a positive effect on Impulse Buying and Behavior Intention. The implication of this research is that companies can utilize the Self-Esteem motive to improve purchasing decisions. Personalized product recommendations and price offers that match consumer preferences can be implemented to increase consumer satisfaction and trust. Implementing algorithms can help companies provide better shopping experiences, improve purchasing decisions, and strengthen consumer behavioral intentions