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International Micro, Small and Medium Enterprises (MSMEs) face significant challenges in improving global competitiveness due to limited resources and access to effective market analysis, despite contributing 45% to the global economy (OECD, 2025). This research aims to develop an integrated machine learning (ML) model with a mixed-methods approach to optimise cross-border MSME market analysis. A combination of quantitative (transaction data analysis of 500 Indonesian export MSMEs 2020-2024 using XGBoost and SEM-AMOS) and qualitative (interviews with 15 MSME players) methods revealed that the XGBoost model achieved 89% accuracy in predicting market trends, with key variables including social media sentiment (28%) and exchange rate fluctuations (19%). Qualitative results show that 65% of MSMEs face cross-border regulatory barriers that ML models do not detect. The findings extend the Resource-Based View theory by validating AI-driven market intelligence as a strategic asset (β = 0.67, p 0.7. This research highlights the importance of technology integration and contextual adaptation in the digital transformation of MSMEs.

Despite their 45% contribution to the global economy, international micro, small, and medium-sized enterprises (MSMEs) face considerable obstacles in enhancing their global competitiveness because they lack the resources and access to efficient market analysis (OECD, 2025). In order to optimize cross-border MSME market analysis, this research attempts to construct a machine learning (ML) model coupled with a mixed-methods approach. A combination of quantitative (XGBoost and SEM-AMOS were used to analyze transaction data of 500 Indonesian export MSMEs 2020–2024) and qualitative (interviews with 15 MSME players) methods showed that the XGBoost model achieved 89% accuracy in predicting market trends, with key variables including exchange rate fluctuations (19%) and social media sentiment (28%). According to qualitative findings, the ML model does not identify cross-border regulatory constraints that 65% of MSMEs must deal with. These results validate market intelligence powered by AI as a strategic asset, extending the Resource-Based View paradigm. The significance of contextual adaptation and technological integration in the digital transformation of MSMEs is emphasized by this study.

This study aims to design and build a hydraulic system capable of operating hatch opening and closing automatically and manually, with the application of Internet of Things (IoT) technology to monitor and control the system remotely. This system is designed to improve efficiency and ease of hatch operation on ships or other industrial applications, as well as prevent fires in cargo due to several factors such as unintentional negligence of the ship's crew and also weather factors with increasing temperatures. Where the automatic system uses a rain sensor to optimize time and energy, while manual control remains available as a backup option. This design involves the integration of hydraulic actuators, rain drop sensors, microcontrollers, and IoT communication modules that allow users to control and monitor the position of the hatch through a web-based application or mobile device. In compiling this scientific paper, researchers use experimental methods. This study shows the results that testing will be carried out directly by researchers, by testing the performance of the prototype of the automatic and manual hatch opening and closing hydraulic system design tool based on IoT by testing the effectiveness of the control system and sensor performance. In conclusion, this system successfully combines hydraulic and IoT technology to create an efficient, safe, and easy-to-use solution in practical applications.

KKN-Thematic (Real Work Lecture) is a form of student service to the community as part of the tridharma of higher education. This program aims to support village development and provide students with the opportunity to practice the knowledge they have learned directly. The purpose of this program is to identify challenges and opportunities in aligning the village financial management system to be more effective. A case study approach is used to analyze the implementation process and collect data on the integration efforts. Some of the problems faced by Baskara Bakti Village include data compatibility, limited technical capacity, and information gaps between SISKEUDES and PDAM. This service activity underlines the importance of strengthening institutional coordination, increasing technical support, and developing standard data formats to facilitate smooth integration in SISKEUDES. By addressing these challenges, villages can optimize financial management practices and improve the provision of public services.

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.

Islamic Micro Finance (IMF) has an important role in supporting the Sustainable Development Goals (SDGs) in Indonesia by providing inclusive financial access based on sharia. This study aims to analyze how the IMF contributes to poverty alleviation (SDG 1), increasing financial inclusion (SDG 9), reducing economic inequality (SDG 10), promoting sustainable economic growth (SDG 8) and improving financial education and awareness (SDG 4). The research method used is a qualitative descriptive approach with literature analysis and case studies from several sharia microfinance institutions in Indonesia. The research results show that the IMF through instruments such as qardhul hasan, mudharabah, musyarakah, and ZISWAF is able to provide financial solutions for poor community groups and micro businesses. In addition, the digitalization of sharia financial services further increases the IMF's reach in supporting financial inclusion. However, there are challenges that still need to be overcome, such as limited capital, low sharia financial literacy, and regulations that are not yet optimal. Therefore, strengthening regulations, sharia financial education and Islamic financial technology innovation are key strategies for optimizing the IMF's role in achieving the SDGs in Indonesia. This study provides an original contribution by highlighting the strategic role of Islamic Micro Finance in achieving SDGs in Indonesia through a sharia-based approach. The added value of this study lies in the integration between Islamic financial instruments and sustainable development goals, as well as the importance of digital innovation and financial education in the local context.

This study aims to explore and analyze the values ​​of the integration of Islamic Religious Education (PAI) with science in learning in Senior High Schools (SMA) in the Riau Islands. In the era of globalization and rapid technological advances, it is important for education to integrate religious knowledge and science in order to create students who are not only intellectually intelligent but also have strong characters. The research approach used is qualitative descriptive with a case study method involving in-depth interviews, observations, and documentation studies in several high schools in the Riau Islands. This study found that despite major challenges in terms of limited infrastructure, human resources, and access to technology, the integration of PAI and science can enrich students' understanding of the relationship between religion and science. By integrating science into Islamic teachings, students not only learn scientific knowledge but are also trained to think critically in the context of religion and morals. On the other hand, geographical challenges and limited facilities in the Riau Islands cause gaps in the implementation of this integration. Therefore, this study suggests the need for more adaptive learning strategies, improved teacher training, and the use of mobile technology to overcome these challenges. This research is expected to contribute to the development of a more inclusive and relevant education curriculum, especially in remote areas such as the Riau Islands.

This study aims to analyze the causes of data duplication in companies, its impact on operational efficiency, and the solutions that can be implemented to prevent and address it. Using a qualitative method with a library research approach, this study examines various literature related to data management. The findings indicate that data duplication is caused by a lack of standardization, input errors, and weak integration systems. The recommended solutions include the implementation of database management technology, regular data audits, and strict data governance policies. With the right strategies, companies can enhance efficiency and ensure data accuracy in business decision-making.  

This article was written to examine and analyze the impact of the role of the mass media on the potential problems of the disintegration of the Indonesian nation which have been quite widespread lately. This article was written on the basis that the mass media can play a dual role as a factor of integration and disintegration, amidst the growth of press freedom as a result of the growth of democracy and democratization in Indonesia. This research is qualitative research with library research as the main data collection technique. This study found that the potential of the mass media can play a role in strengthening integration in society but at the same time can be a factor in the occurrence of disintegration. This really depends on the tendency of the media itself, whether the media tends to be centrifugal or tends to be centripetal. If the media tends to be centrifugal, it will speed up the process of disintegration, likewise if the mass media tends to be centripetal then it can become an adhesive and strengthen national integration.

Local financial management in Indonesia still faces significant challenges, such as budget inefficiencies, high dependence on central funds, and lack of locally generated revenue (PAD), which exacerbates development inequality, especially in underdeveloped regions such as Papua. This research highlights the importance of cross-sector collaboration and technology utilization for the optimization of local finance to achieve sustainable development equity. Collaboration between central and local governments, the private sector, and the community can improve transparency and accountability of budget management, while technologies such as e-budgeting, blockchain, and the Local Government Information System (SIPD) can accelerate the budget planning and monitoring process. This study uses a descriptive qualitative approach with thematic analysis of primary and secondary data to evaluate the effectiveness of technology integration and cross-sector collaboration. The results show that a strong synergy between collaboration and technology can improve budget efficiency, reduce dependency on central funds, and accelerate infrastructure development and public services in disadvantaged areas. Policy recommendations include strengthening local government capacity, implementing a blockchain-based monitoring system, and involving communities in development planning. This research contributes to the local financial management literature by offering evidence-based solutions that support inclusive and equitable development in Indonesia.

The urgency to strengthen the pedagogical competence of Islamic Elementary Teacher Education (PGMI) teachers has increased in line with 21st-century learning demands, which emphasize critical thinking, collaboration, and meaningful learning. However, in practice, many PGMI teachers still face significant gaps in understanding and applying constructivist approaches effectively. This article aims to analyze these gaps and evaluate the potential for developing pedagogical competencies within the framework of constructivist theory. This study adopts a qualitative approach using library research methods, gathering secondary data from scholarly literature, educational policies, and previous relevant studies. Data analysis was conducted through content analysis, applying the Miles and Huberman model. The findings reveal a persistent reliance on conventional teaching methods, limited pedagogical literacy regarding constructivism, and insufficient integration of theory into teacher education curricula and training. The study concludes that systemic reforms are required in curriculum design, teacher training, and institutional partnerships to bridge these pedagogical gaps. This article contributes both conceptually and practically to the development of constructivist-based learning models in Islamic elementary education. Field-based follow-up research is recommended to empirically strengthen these findings.

Christian education has played a significant role in shaping individual character, thought, and morality across the globe. One of the most influential figures in this field is Ignatius Loyola (1491-1556), founder of the Society of Jesus (Jesuits). Loyola’s educational philosophy, rooted in Catholic spirituality, emphasizes discipline, character formation, and the integration of faith and intellect. The purpose of this study is to explore the theological foundations of Christian education according to Ignatius Loyola, outline the core principles of his educational thought, and examine its relevance to contemporary Christian education. Data were collected through a literature review of books and scholarly articles. Loyola’s approach, known as Ignatian education, focuses on holistic development-spiritual, intellectual, and social-embodied in the principle of "cura personalis" or care for the whole person. His model has profoundly influenced Catholic educational institutions worldwide. The findings highlight that Ignatian pedagogy not only nurtures academic excellence but also fosters a spirit of service and commitment to God. This research provides insights for educators and institutions aiming to implement Christian values in modern educational settings.

his research examines the use of plastic bottle waste as a learning medium for water purification practices in the IPAS subject at MI Jami’yatul Mubtadi’in.The researcher also conducted direct observations at the school to see the actual implementation of this media.The results show that used plastic bottles are effective because they are easy to obtain, inexpensive, and relevant to environmental issues.This media helps students understand the concept of water purification concretely, as well as fostering environmental awareness and recycling skills.The integration of this media can enhance scientific understanding, critical thinking, and environmental awareness.Through observations at Mi Jamiyatul Mubtadiin, the children were enthusiastic in participating in the water purification practical.

Tegalwaru Village in Ciampea District, Bogor Regency, possesses substantial potential for sustainable Micro, Small, and Medium Enterprise (MSME) development, yet faces challenges in marketing and digital adoption. This study aims to analyze the progress of MSMEs in Tegalwaru, focusing on production, marketing strategies, and ecotourism integration to enhance economic growth. Using a qualitative descriptive approach, data was collected through in-depth interviews with MSME actors, field observations, and document analysis. Findings indicate that while MSMEs have advanced in product diversification and production capacity, their growth is hindered by limited digital marketing skills and inadequate access to capital. Conversely, the village’s rich natural and cultural resources present significant opportunities for ecotourism, which could synergize with MSMEs to boost local income sustainably. The study highlights the need for targeted interventions, including digital literacy training, improved financing access, and collaborative efforts among MSMEs, local government, and tourism stakeholders. By strengthening these aspects, Tegalwaru can achieve holistic MSME development, fostering economic resilience and community welfare. The research underscores the importance of integrating MSMEs with ecotourism as a strategy for inclusive and sustainable rural development.

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.

This study explores the visionary leadership strategies of Kyai in enhancing the quality of Islamic education at Pondok Pesantren Daaru Attauhid, Raudhatul Mujawwidin, and Al Jauharen in Jambi Province, Indonesia. Employing a qualitative approach with a multi-site design, the study collected data through in-depth interviews, participant observations, and document analysis. Findings reveal that visionary Kyai leadership is characterized by strong vision, educational innovation, integration of diniyah and general curricula, and collaboration with external stakeholders. Key challenges include limited human resources, insufficient infrastructure, and lack of stakeholder engagement. The study recommends leadership training, institutional capacity development, and technological integration to address these challenges and support sustainable Islamic education.      

This study aims to analyze the ibdal rule in Arabic word derivation with an integrative approach between traditional methods and modern linguistics. The ibdal rule, namely the change of one letter into another letter in a word, has long been a concern in classical Arabic studies. The traditional approach views ibdal as part of an effort to maintain the purity and beauty of the Arabic language, based on oral history, analysis of ancient poetry, and readings of the Qur'an. Meanwhile, modern linguistics views ibdal as a rational phonological phenomenon, occurring due to phonetic considerations, ease of articulation, and social dynamics. Through an integrative study, this study found that a comprehensive understanding of ibdal can only be achieved by combining an appreciation of classical Arabic heritage with scientific analysis based on modern phonology and morphology. The results of this study indicate that ibdal is not only linguistic, but also reflects the vitality of the Arabic language in responding to changes in the times. The integration of these two approaches also has an impact on the development of curriculum, teaching methods, and the expansion of Arabic language research space towards a more interdisciplinary direction. This study emphasizes the importance of building a scientific attitude that respects tradition while being open to renewal in Arabic studies. Thus, it is hoped that this research can be a significant contribution to the development of Arabic linguistic studies in a contemporary academic context.

Ports are critical infrastructure in maritime transportation, facilitating the movement of goods and people while serving as hubs for economic activities. The Tanjung Pakis Class III Harbormaster and Port Authority Office (KSOP) utilizes the Electronic Reporting Information (SIRANI) application for reporting loading and unloading data. However, challenges such as discrepancies, technical disruptions, and delays in data processing often arise. This study aims to describe the loading and unloading data processing and the efficiency of reporting time on the SIRANI application at KSOP Class III Tanjung Pakis. Employing a descriptive qualitative approach through interviews, observations, and documentation, the research finds that data processing is less effective due to low data validity and errors in the Inaportnet platform. Reporting to SIRANI is also inefficient due to delays in data handling and technical issues with the application. Corrective measures, such as early data verification and manual data handling by reporting officers, have improved effectiveness by reducing the process from five to three steps and cutting reporting time from 6 hours to 3 hours and 30 minutes. The study concludes that optimizing data processing and inter-unit coordination can enhance the effectiveness and efficiency of reporting. Recommendations for future research include real-time integration and the development of backup mechanisms to address technical disruptions.

This study explores the integration of Artificial Intelligence (AI) with thermal optimization in Waste-to-Energy (WtE) systems to enhance both energy recovery and emission control. Introduction: The growing need for sustainable urban waste management has highlighted the importance of optimizing WtE systems. AI technologies, including machine learning and deep learning, have shown potential in improving the efficiency of WtE processes, especially in reducing emissions and enhancing energy recovery. Literature Review: Previous research indicates that AI has been successfully applied to various WtE technologies such as pyrolysis, gasification, and incineration, yet the integration of AI specifically for thermal optimization remains underexplored. Most studies focus on predictive models for emission reduction rather than real time thermal optimization. Materials and Method: The study proposes the development of an AI-driven framework that integrates real time data collection from IoT sensors, predictive modeling, and real time control algorithms. The system optimizes key parameters such as combustion temperature and fuel flow to enhance energy recovery and minimize emissions. The method includes data collection from operational WtE plants, followed by model development using machine learning algorithms. Results and Discussion: Initial simulations and pilot testing showed significant improvements in energy efficiency and emission reduction. AI-driven systems outperformed conventional WtE systems by optimizing operational parameters in real time. The study identifies gaps in AI integration for thermal optimization and suggests future research directions, including the integration of AI with smart grids and carbon credit systems for more sustainable WtE operations.

The integration of solar powered IoT irrigation systems in precision agriculture offers a sustainable solution to address water scarcity and enhance crop productivity. By leveraging real time data from soil sensors, weather APIs, and machine learning algorithms, these systems optimize irrigation schedules and improve water use efficiency. This research explores the potential of integrating renewable energy sources, such as solar power, with edge computing in smart irrigation systems to promote sustainable agricultural practices. The study aims to evaluate the performance of the proposed system in terms of water savings, crop yield, energy efficiency, and adaptability to varying climate conditions. Literature Review: Previous studies highlight the importance of smart irrigation systems in reducing water waste and improving crop yield through real time monitoring and automated decision making. However, existing systems often lack the integration of renewable energy and edge computing, which are critical for ensuring sustainability and operational efficiency in rural agricultural settings. The combination of renewable energy with IoT devices offers a promising solution to reduce energy costs and carbon emissions, while edge computing enhances real time data processing, ensuring prompt and accurate irrigation adjustments. Materials and Method: The proposed system integrates solar powered IoT devices, soil moisture sensors, weather data APIs, and edge computing devices to manage irrigation. Machine learning algorithms and evapotranspiration models are used to predict irrigation needs and optimize scheduling based on real time data. The system's performance is evaluated through metrics such as water savings percentage, crop yield improvements, and energy consumption, with a comparative analysis against traditional irrigation methods. Results and Discussion: The results indicate that the system successfully reduces water usage by 30% to 40%, increases crop yield by 25%, and operates with energy autonomy, powered entirely by solar energy. The system's adaptability to varying climate conditions ensures optimal crop growth, even under environmental stresses. The integration of renewable energy and edge computing significantly enhances the sustainability and efficiency of irrigation systems.