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The rapid advancement of digital technologies and Artificial Intelligence (AI) has fundamentally reshaped the management and development of the tourism industry. Digital transformation strategies offer substantial opportunities to enhance destination competitiveness while simultaneously supporting economic, social, and environmental sustainability. This study aims to systematically examine the role of digital transformation and AI in strengthening sustainable tourism competitiveness through a literature review approach. A total of 42 peer-reviewed journal articles published between 2019 and 2025 were analyzed, drawing from Scopus, Web of Science, and Google Scholar. The analysis employed thematic synthesis to identify dominant patterns, conceptual relationships, and emerging themes across the literature. The findings indicate that AI-driven digital transformation enhances operational efficiency, enables personalized tourist experiences, supports data-informed resource management, and facilitates the development of smart tourism destinations. Nevertheless, persistent challenges related to human resource readiness, digital inequality, data governance, and ethical considerations remain evident. This review provides an integrated conceptual perspective on digital transformation and AI in sustainable tourism competitiveness and offers insights for policymakers, practitioners, and future research.

Lovebysisdaisy is a micro, small, and medium enterprise (MSME) producing handmade phone charm accessories and operating as a home-based business with limited digital marketing capabilities. This community service program aimed to strengthen digital marketing through Instagram optimization and the utilization of Shopee as an e-commerce platform. A participatory approach was applied, involving the business owner from problem identification to evaluation. Methods included observation, interviews, and digital documentation, followed by assistance in content development and Shopee store management. The results show that structured Instagram content improved visual consistency and audience engagement, while the establishment of a Shopee store enabled organized product catalogs and initial customer interactions. These outcomes indicate increased digital awareness and readiness of the MSME to implement sustainable online marketing strategies and expand market access.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in Indonesia’s economy, especially in Bantul Regency, where they significantly contribute to the Gross Regional Product(GRDP) and job creation. Despite a rise in MSMEs numbers from 2021 to 2024, their long-term viability is hindered by issues like insufficient funding, inadequate accounting skills, and underutilization of e-commerce platforms. This research investigates how businesses, accounting knowledge, and e-commerce adoption impact MSME sustainability in Bantul Regency. Employing a quantitative method, it collected primary data via questionnaires from 100 MSME operators selected through purposive sampling. Analysis involved multiple linear regression. Findings indicated that business capital had no significant influence on sustainability, while accounting knowledge and e-commerce use positively and significantly boosted it. The R2 value of 29% show that these factors collectively explain 29% of MSME sustainability variance, with the remaining 71% attributed to external variables. The study highlights the need to enchane accounting education and digital tools to boost MSME competitiveness and resilience.

This study aims to examine the role of transformational leadership in enhancing innovative work behavior through organizational learning readiness and knowledge sharing behavior as mediating variables among employees of Brighton Real Estate Spazio Surabaya. Employing a quantitative explanatory research design, data were collected through questionnaires distributed to 98 employees of Brighton Real Estate Spazio Surabaya. Data were analyzed using the Smart-PLS 3.2 software for hypothesis testing. The findings indicate that transformational leadership has a positive and significant effect (β = 0.311) on organizational learning readiness, and a positive and significant effect (β = 0.333) on knowledge sharing behavior. Organizational learning readiness also positively and significantly affects knowledge sharing behavior (β = 0.359). However, transformational leadership shows a negative and insignificant effect (β = −0.033) on innovative work behavior, while organizational learning readiness exhibits a positive but insignificant effect (β = 0.167) on innovative work behavior. Interestingly, knowledge sharing behavior demonstrates a negative and significant effect (β = −0.514) on innovative work behavior.

This study aims to examine and analyze the influence of auditor ethics, auditor competence, and audit risk on audit quality, with audit fees serving as a mediating variable. This research employs a quantitative associative approach with a casual explanatory design. Data were collected through a questionnaire survey administered to external auditors working at Public Accounting Firms (PAFs) in Surabaya, with a population of 55 firms. The sampling technique used was convenience sampling, resulting in 42 auditors as respondents with the characteristic of having worked at Public Accounting Firms in Surabaya for at least one year as of 2025. Data analysis was conducted using the Partial Least Square (PLS) method assisted by SmartPLS 4.0 software. The results indicate that auditor competence and audit risk have a positive and significant effect on audit fees, while auditor ethics does not have a significant effect. Furthermore, auditor ethics has a positive and significant effect on audit quality, whereas auditor competence, audit risk, and audit fees do not show a significant effect. In addition, audit fees are not proven to function as a mediating variable and therefore are unable to mediate the effects of auditor ethics, auditor competence, and audit risk on audit quality.

The rapid advancement of information technology has encouraged business actors to adopt digital transformation; this situation is also experienced by Pabrik Tahu Macanan, a small scale tofu factory in Magelang that still relies on manual systems in operation. This  study aims to analyze the implementation of management information systems in supporting digital transformation and risk management at Pabrik Tahu Macanan; a descriptive qualitative approach was applied, using interviews, observations, and documentation as date collection methods. The findings reveal that digital information systems have the potential to improve efficiency, recording accuracy, and internal control; however, their implementation remains limited due to human resource constraints and low adaptability to new technologies. The research also found that simple risk management practices such as regular machine maintenance and manual bookkeeping remain effective in maintaining business stability. The implication of this study indicates that a gradual implementation of digital based information systems, supported by training and supervision, can serve as a strategic step to enhance competitiveness, operational efficiency, and sustainability for traditional SMEs like Pabrik Tahu Macanan.

Background: The rapid development of blockchain technology and smart contracts has fundamentally transformed contractual relationships by shifting the role of human interpretation and enforcement toward automated, code-based, and decentralized systems. This transformation generates complex legal implications, particularly regarding the evolution of contractual liability, which is increasingly distributed and no longer centered on a single legal subject. Objective: This study aims to analyze the evolution of contractual liability in smart agreements and examine how such transformation affects the fundamental principles of traditional contract law within modern legal systems. Methods: This research employs a normative and conceptual legal approach, supported by an analysis of blockchain regulations across multiple jurisdictions, case studies of smart contract implementation, and a comparative legal analysis between civil law and common law systems, complemented by a multidisciplinary literature review. Results: The findings indicate that contractual liability in smart agreements has evolved from a centralized fault-based liability model to an algorithmic, distributed, and code-dependent liability structure within blockchain ecosystems. This evolution creates new legal challenges concerning the attribution of liability, legal certainty, and the limitation of judicial intervention in automated contractual arrangements. Furthermore, the study identifies a tension between technological efficiency and substantive legal justice, highlighting the need for adaptive legal frameworks capable of accommodating decentralized technologies while ensuring the protection of legal rights and accountability of involved parties.

This study aims to analyze the factors determining the growth of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia through a literature review approach. MSMEs make a significant contribution to the national economy, but their growth still faces various structural barriers. Based on the results of the literature review, it was found that access to capital, human resource quality, managerial capacity, innovation, digitalization, marketing strategies, and government policies are the main factors influencing MSME growth. Limited capital and low financial literacy are dominant obstacles that hinder business expansion. Furthermore, weak managerial capacity and digital competency prevent many MSMEs from optimally exploiting market opportunities. Innovation and the use of digital technology have been proven to increase efficiency and marketing reach, but the adoption rate remains low. External factors such as government regulations, simplified licensing, and support from empowerment programs also play a significant role in creating a conducive business climate. This study emphasizes that MSME development requires a comprehensive approach that integrates internal aspects of business actors and structural government support. The research results are expected to serve as a reference for academics, policymakers, and MSME actors in formulating more effective development strategies.

This study explores the roles of innovation and perseverance as critical success factors for young entrepreneurs in the fried chicken business through an in-depth case study of Fried Chicken Smile, located in Medan Tembung Subdistrict. The research focuses on how young entrepreneurs are able to survive and grow in a highly competitive culinary market dominated by global brands such as KFC. Using a qualitative research approach, data were collected through in-depth interviews with business owners and employees, direct field observations, and documentation analysis. The study is supported by several theoretical perspectives, including Grit Theory, which emphasizes perseverance and passion for long-term goals; Entrepreneurial Behavior Theory, which explains proactive and adaptive business behavior; and Schumpeter’s Innovation Theory, which highlights innovation as a driver of competitive advantage. The findings indicate that business success is influenced by continuous product innovation, particularly through adapting menu flavors to local tastes, maintaining consistent operational quality, and implementing effective digital marketing strategies via social media platforms. In addition, strong social support from family, peers, and local communities plays a significant role in sustaining entrepreneurial motivation. Overall, the study demonstrates that the combination of innovation, persistence, and social capital enhances competitiveness and supports the growth of micro, small, and medium enterprises (MSMEs). These findings provide valuable insights for the development of young entrepreneurship in Indonesia’s dynamic culinary sector.

This study aims to analyze the role of innovation in enhancing the competitiveness of Micro, Small, and Medium Enterprises (MSMEs) in Medan City. The research employs a qualitative approach through direct interviews with several MSME owners from various business sectors. The results reveal that innovation plays a significant role in strengthening business competitiveness through product development, digital marketing strategies, and improvements in production processes. Product innovation among MSMEs includes changes in design, quality enhancement, and product diversification based on market demand. Meanwhile, marketing innovation is achieved through the utilization of social media and digital platforms to expand market reach and improve customer engagement. However, MSME actors still face challenges such as limited capital, low digital literacy, and lack of access to training and mentorship. Therefore, collaboration between business actors, government, and supporting institutions is essential to build a sustainable innovation ecosystem that strengthens the competitiveness of MSMEs in the digital era.

This community service aims to provide understanding and skills in using comics and AR media as well as understanding biology material by high school students. The community service was carried out at SMA Negeri 1 Raja Ampat involving 43 students. Measurement of student responses using a questionnaire with six statements on a scale of 1 - 4. The measurement data was calculated to obtain the average score and percentage of student responses. The results of the community service show that the average total score is 86.53 which indicates that overall the student response is very good to the community service activities that have been carried out. Student responses are dominated by agree and strongly agree. The largest percentage of disagree, namely 23.26%, is shown by students, especially in the statement that AR applications can be run easily, but the average total score still reaches the good category for this statement. The community service has provided students with an understanding of how to learn biology in an interesting way and provides benefits to improve their understanding. Students agree that the material presented adds to their insight regarding comics and AR, are able to install AR applications on their mobile devices, improve their understanding of biology material, is interesting and provides benefits for them.

This study was conducted to analyze the relationship between students’ learning motivation and their perception of mathematics with mathematics achievement among tenth-grade students at SMA Al Islam 1 Surakarta. Mathematics was chosen as the focus because it is often considered a subject that presents significant challenges for students, both in terms of conceptual understanding and in shaping positive attitudes toward learning. The study employed a correlational quantitative method, with the population consisting of all tenth-grade students and the sample limited to class X-9, comprising 36 students. The instruments used were a motivation questionnaire, a perception questionnaire, and mathematics learning outcomes obtained from mid-semester test scores. Data analysis included normality testing and Pearson correlation to identify the relationship among variables. The results indicated that learning motivation did not have a significant correlation with mathematics achievement. In contrast, students’ perception of mathematics showed a significant correlation with their academic performance. These findings suggest that students’ positive perceptions of mathematics can play a crucial role in supporting better academic achievement, while motivation alone may not guarantee higher performance. This study contributes to a deeper understanding of the factors influencing mathematics learning outcomes and provides a foundation for further research to develop more comprehensive tools for measuring motivation. Future studies are also encouraged to consider additional variables such as teaching strategies, parental involvement, and the overall learning environment in order to present a broader analysis of student success.

In the era of globalization and technological advancement, education must transform to develop students who are adaptive, critical, and have strong character. One innovation introduced by the government is the Merdeka Belajar (Independent Learning) Curriculum, which emphasizes competency, character, and project-based learning. This study aims to determine the effect of implementing the Merdeka Curriculum on the learning outcomes of Pancasila Education for Grade XI students at SMAN 1 Petir in the 2024/2025 academic year. A quantitative method with a survey approach was used, involving 80 student respondents. Data were collected through questionnaires and learning outcome tests, and analyzed using correlation and regression statistical techniques. The results show that the Merdeka Curriculum has a significant and positive effect on students’ PPkN learning outcomes, with a correlation coefficient of 0.766. This means better implementation of the curriculum leads to better student achievement. The curriculum contributes 58.7% to the learning outcomes, while the remaining 41.3% is influenced by other factors. The study concludes that the Merdeka Curriculum effectively enhances learning outcomes, particularly in character and 21st-century skills development.

Anemia among adolescent girls is one of the health problems that is often overlooked, even though it has serious impacts on learning concentration, productivity, and reproductive health in the future. One of the main causes of anemia is iron deficiency and an unbalanced diet. This community service activity aims to increase adolescent girls’ knowledge about anemia prevention through health promotion using poster media with the approach of “Smart Nutrition for Iron Health.” The activity was carried out at Pesantren Al-Mubarak 12 November 2025, targeting 34 adolescent girls. The method included planning, preparation, implementation, and evaluation stages, with pre-test and post-test conducted to assess participants’ knowledge levels. The results showed a significant increase in adolescents’ knowledge regarding anemia prevention. Before the activity, 55% of respondents had poor knowledge, 35% moderate, and only 10% good. After the intervention, 75% of respondents had good knowledge and 25% moderate, with no respondents in the poor category. These results indicate that poster media is effective in increasing adolescents’ understanding of anemia and the importance of consuming a balanced diet rich in iron as an effort to prevent anemia among adolescent girls.

Bullying in secondary schools is a serious issue that affects students’ psychosocial well-being and academic achievement, and significantly disrupts the learning climate and the quality of social relationships among students. This community service activity aimed to implement the Child-Friendly School Program through anti-bullying socialization at SMA N 1 Kersana in order to enhance the understanding and commitment of all school members in creating a safe, inclusive, and sustainable learning environment. The method employed a participatory approach, including needs assessment, interactive socialization sessions, focus group discussions, case simulations, and structured evaluation using pre-test and post-test instruments. The results indicated a 23% increase in participants’ understanding based on the comparison of scores before and after the intensive implementation of the program. Furthermore, a “Bullying-Free School” declaration was established along with a plan to strengthen the Violence Prevention and Handling Team as a more systematic sustainability strategy. These findings confirm that participatory-based socialization effectively reinforces the implementation of the Child-Friendly School Program and fosters a safe, inclusive, sustainable, and responsive school culture that supports students’ positive character development.

Digital technology has become an essential part of managing small and medium-sized enterprises (SMEs), especially in efforts to achieve business sustainability. Kampong Bharu, as an iconic area in Kuala Lumpur, is home to numerous micro, small, and medium-sized enterprises (MSMEs) operating in the culinary, craft, and tourism sectors, but faces challenges in implementing environmentally friendly practices. This research aims to analyze the application of green digital management to MSMEs in Kampong Bharu as a sustainable business strategy. The research method uses a qualitative approach with in-depth interviews and participant observation of 15 MSME actors. The research results show that integrating digital technology with environmentally friendly principles, such as paperless digital marketing, energy-efficient use, and sustainable packaging systems, can enhance the competitiveness and positive image transformation of MSMEs. This finding has practical implications for business owners and stakeholders in developing a digital-based green MSME model in historic urban areas. These findings can also serve as a guide for implementing sustainable business strategies in the MSME sector in other major cities.

Background: The development of modern manufacturing systems requires production scheduling strategies that not only improve productivity but also optimize energy utilization. Multi-machine production systems with job-shop configurations exhibit high complexity due to dynamic interactions between machines, job queues, and varying processing times, making conventional scheduling methods less effective in handling changing operational conditions. Objective: This study aims to develop and evaluate a reinforcement learning based production scheduling approach to improve production efficiency while reducing energy consumption in multi-machine manufacturing systems. Methods: This research employs a job-shop based multi-machine production simulation model as the experimental environment. The scheduling problem is formulated as a Markov Decision Process, enabling the implementation of reinforcement learning algorithms, namely Q-learning and Deep Q-Network, to learn optimal scheduling policies through interaction with the simulation environment. Energy consumption parameters are incorporated into the reward function so that the learning agent can consider energy efficiency in the scheduling decision-making process. System performance is evaluated using three main metrics, namely energy consumption, throughput, and makespan. Results: The experimental results show that the reinforcement learning based scheduling approach achieves better performance compared to conventional scheduling methods, resulting in lower energy consumption, higher job completion rates, and shorter production completion times within the multi-machine manufacturing system.

The rapid development of modern manufacturing technology has driven the emergence of human-robot collaboration (HRC) as part of the transformation toward a human-centric intelligent production system. In collaborative work environments, robots are not only required to work efficiently but also to interact safely and responsively with operators. However, most conventional industrial robot systems still use rigid motion controls and are unable to dynamically adapt to human activity around them.This research aims to develop a human-robot collaboration system by integrating computer vision technology to detect operator movement and applying adaptive control algorithms to the robot manipulator. The research methodology includes designing a collaborative workstation, implementing a computer vision-based motion detection system, developing an adaptive control algorithm, and evaluating system performance through various experimental scenarios. Evaluation parameters include task completion time, safe distance, and system response time.The results show that the developed system significantly improves the efficiency and safety of human-robot interaction compared to conventional systems, with shorter task times, optimal safe distances, and faster system response to operator movements.

Innovation in biology learning is increasingly necessary, as conventional instructional practices are often dominated by memorization-based methods that limit students’ active engagement and critical thinking development. Along with rapid advances in science and technology, digital applications offer new opportunities to enhance teaching and learning processes. One such application is Canva, a digital design platform that can be utilized as an effective learning media to support teachers and students in biology education. This study aims to describe the implementation of Canva-based learning media through a training program conducted at SMA Islam Terpadu Daarul Rahman and to examine its perceived usefulness for both teachers and students. The training involved teachers in developing biology learning materials using Canva by integrating visual elements, images, and videos to present complex biological concepts more clearly. The results of the training indicate that Canva is considered practical, user-friendly, and efficient by teachers in designing learning materials. Teachers reported that the application helped them present content in a more attractive and structured manner. Furthermore, students benefited from the use of Canva-based materials, as they demonstrated better understanding of the subject matter and increased interest in learning biology. The integration of visual and multimedia elements also supported the development of students’ critical thinking skills by encouraging analysis and interpretation of biological phenomena. Overall, the use of Canva as a learning medium shows potential to enhance the quality of biology learning and foster more meaningful learning experiences.

The rapid development of smartphone technology today creates challenges for consumers and manufacturers in determining an objective price range based on highly varied technical specifications. This study aims to implement the Random Forest algorithm in classifying smartphone price ranges into four main categories, namely low, mid-range, high, and flagship. The research method was carried out systematically through the stages of loading a dataset of 2,000 entries, exploratory data analysis (EDA) to ensure data integrity, and model training with a training and testing data split of 80:20. The results showed that the Random Forest model achieved a significant overall accuracy rate of 89%. Based on feature importance analysis, it was found that RAM capacity was the most dominant determining factor, contributing 47% to prediction accuracy, followed by battery power and screen resolution as supporting features. These findings have strategic implications for manufacturers to prioritize memory capacity upgrades in determining product pricing in the market, as well as providing guidance for consumers in assessing the fairness of a device's price based on its technical capabilities.