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This study examines the historical development of education in Malaysia, which has undergone a shift from the traditional pondok system to modern religious schools. This change was influenced by various factors, including social dynamics, colonial influence, and societal demands for a more structured and relevant education system. This study aims to explain this development process and identify the various factors driving this change. The research employed a qualitative approach through literature review, utilizing various sources, books, journals, and scientific documents, which were analyzed descriptively to gain a deeper understanding. The results show that the pondok system, which was initially informal and simple, even focusing only on teaching religious knowledge and moral development, underwent changes due to the influence of colonialism, the development of Western education, and the increasing societal need for formal education. This change gave rise to modern madrasahs and religious schools with more structured curricula, integrating religious and general knowledge, and implementing more systematic methods. The findings of this study confirm that this development did not completely eliminate the pondok system, but rather developed it into a more comprehensive educational system, enabling Islamic education in Malaysia to remain steadfast in Islamic values ​​and adapt to modern demands.

The selection process for accepting new employees is one of the important stages in a company to ensure that the candidates accepted have qualifications that suit the company's needs. At WINMART, the selection process is still carried out manually, so it is less efficient and prone to errors. Therefore, a system is needed that can assist in more objective and efficient decision making. This Decision Support System (DSS) is designed to assist the selection process for recruiting new employees using the Simple Additive Weighting (SAW) method, which can assess several relevant criteria, such as work experience, education, skills and competency tests. This system was built on a web basis, so it can be easily accessed by parties involved in the selection process, such as HRD and managers. The SAW method was chosen because of its ability to convert various subjective criteria into more objective numerical scores, so that selection results can be more transparent and accountable. By using this system, it is hoped that it can increase efficiency, accuracy and transparency in the new employee selection process at WINMART, as well as facilitate decision making in selecting candidates who best suit the desired criteria.

This study examines the implementation of Islamic business ethics in e-commerce transactions, with a specific focus on the Shopee platform. The research is motivated by the increasing growth of digital commerce accompanied by various ethical issues such as product misrepresentation, lack of transparency, and weak accountability of sellers. The objective of this study is to analyze how ethical principles, including honesty, fairness, and responsibility, are applied in online transactions. This research employs a qualitative approach using a systematic literature review method by analyzing 20 relevant scholarly articles published between 2020 and 2026. The findings reveal that although the platform provides adequate transactional systems, ethical violations are still prevalent, primarily due to information asymmetry between sellers and consumers. Trust emerges as the most influential factor in purchasing decisions, while perceived risk and security play supporting roles in shaping consumer behavior. Additionally, economic incentives such as promotions often override ethical considerations in influencing consumer decisions. The study implies that strengthening ethical enforcement, enhancing platform supervision, and improving consumer digital literacy are essential to ensure a sustainable and trustworthy e-commerce ecosystem.

The internationalization of micro, small, and medium-sized enterprises (MSMEs) has become a strategic issue in addressing global economic dynamics, particularly within the framework of the Global Value Chain (GVC) in the digital age. Although Indonesian MSMEs have great potential to support the national economy, their level of involvement in the global value chain remains relatively limited. This study aims to analyze the challenges and strategies for the internationalization of Indonesian MSMEs within the GVC in the digital age. The study employs a qualitative approach using a case study design, along with thematic analysis and value chain analysis techniques. The findings indicate that MSMEs are already involved in the GVC across various stages of the value chain—from raw material processing to global distribution—yet they continue to face numerous challenges, such as technological limitations, human resource competencies, production capacity, and international distribution networks. On the other hand, digitalization has proven to be a key factor in expanding access to global markets through the use of digital platforms. An effective internationalization strategy requires the integration of product innovation based on local resources, the utilization of digital technology, and the strengthening of global business networks. This study contributes to integrating the perspectives of GVCs, digitalization, and SME internationalization strategies into a comprehensive analytical framework, and provides practical implications for SME actors and policymakers in enhancing competitiveness in the global market

A MSMEs in Indonesia has recently contributed to national exports by 15,7%  compared with Thailand that has reached 29 %, so substantial revision are required to make sure that increasing contribution which ultimately will give positive impact toward the economy overall, because almost 90 % of human resource work in MSMEs sector with nature resource and other plentiful resources. The main problem that is commonly found by MSMEs is to optimize the available resources as well as fulfill the required standards that have established and required regulation in order to ensure the resulting product is accepted by the market and to comply with the regulation that has been established by the regulator. Indonesia as the second biggest country in the world has biodiversity certainly offers benefits that hard to imitate by other country in producing biopharmaceutical plants product, therefore it offers competitive potential in the global market, however market penetration by MSMEs biopharmaceutical plants sector commonly discontinued regarding with technical barriers to trade (TBT). This study is based on a case study that aims to analyze main challenges in fulfillment of international certification and to formulate adaptation strategy for MSMEs. By conducting through a descriptive qualitative method with case study approaches, the result of study indicates that high compliance costs,  registration procedural complexity from the source and destination country, as well as the inconsistency of raw material quality became the main barriers. The proposed strategy including group certification model, CPOTB standard harmonization, and the utilization of integrated government assistance schemes will provide real contribution in assisting MSMEs fulfilling global market requirements.

The rapid advancement of artificial intelligence (AI) has significantly altered the landscape of business decision-making, particularly for Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. Despite their critical role in economic growth and employment generation, MSMEs frequently encounter substantial barriers related to technological adoption, digital literacy, and resource allocation. This research systematically investigates the utilization of artificial intelligence as a responsive innovation mechanism designed to optimize decision-making processes within the MSME sector. By employing a comprehensive systematic literature review methodology, analyzing peer-reviewed publications from globally recognized academic databases between 2018 and 2024, this study delineates the multifaceted benefits, complex challenges, and contextualized adoption strategies associated with AI integration. The findings reveal that artificial intelligence holds transformative potential for enhancing operational efficiency, refining predictive analytics, and sustaining long-term competitiveness. Conversely, critical challenges, including inadequate digital infrastructure, financial constraints, and organizational resistance, remain pervasive obstacles. Consequently, the study advocates for a gradual, responsive innovation approach that aligns technological adoption with specific business needs and environmental pressures. The insights derived from this research offer substantial theoretical and practical implications, providing a strategic framework for policymakers and MSME owners to accelerate digital transformation inclusively.

This study aims to develop a sentiment classification method for YouTube user comments related to the game Love and Deepspace using the Naïve Bayes algorithm, focusing on improving the text data processing and understanding user perceptions. Comment data were collected through scraping from YouTube videos, followed by preprocessing including text cleaning, normalization, stopword removal, stemming, and translation into English. Initial labeling was conducted using TextBlob, then the data were randomly sampled for training the Naïve Bayes model. Evaluation involved comparing sentiment distributions and visualization using Word Cloud and bar charts. The Naïve Bayes model achieved an accuracy of 77.36% in sentiment classification. The sentiment distribution shows differences between TextBlob (positive: 1,011, neutral: 1,312, negative: 575) and Naïve Bayes (positive: 901, neutral: 1,627, negative: 370), with Naïve Bayes being more conservative. The Word Cloud visualization identifies dominant words such as "bang," "game," and "main," while the bar chart shows the largest proportion of neutral sentiment. Naïve Bayes is effective for sentiment classification on informal comment data, with significant differences from rule-based methods like TextBlob. This research contributes to the development of text data processing techniques and user perception analysis, as well as opening up optimization opportunities with other algorithms like SVM for better accuracy.

The implementation of Electronic Medical Records (EMR) is a key component of healthcare digital transformation, as mandated by the Minister of Health Regulation Number 24 of 2022. EMR is expected to enhance efficiency, accuracy, and the quality of nursing services. However, its implementation at M Hospital continues to face challenges, particularly in terms of infrastructure readiness and the digital literacy of nursing staff. This study aims to analyze the effects of infrastructure readiness and digital literacy on the implementation of nursing EMR, with perceived usefulness as an intervening variable. A quantitative cross-sectional design was employed, involving all nurses at M Hospital, with a total sample of 100 respondents using total sampling. Data were collected through structured questionnaires and analyzed using SEM-PLS. The results indicate that infrastructure readiness and digital literacy have both direct and indirect effects on EMR implementation through perceived usefulness (p < 0.05). Among the independent variables, infrastructure readiness demonstrates the strongest influence. These findings support existing theories and prior research. From a managerial perspective, the results highlight the importance of improving infrastructure to optimize EMR implementation. In conclusion, infrastructure readiness and digital literacy significantly influence the successful implementation of nursing EMR, with perceived usefulness acting as a key mediating factor.

This research examines digital charity practices within Christian media communication on YouTube, focusing on two distinct donation formats: marapthon live stream donations (e.g., 24‑hour fundraising events) and sermon‑based donations (offerings collected during or after online worship services). Despite the rapid growth of faith‑based online giving, a critical problem remains: the absence of an integrated system that aligns these two donation models with Christian values of transparency, accountability, and community stewardship. Existing platforms often treat live marapthon and sermon donations separately, leading to fragmented donor experiences and inefficient fund utilization. Therefore, this study aims to develop a conceptual framework for an integrated digital charity system by comparatively analyzing media communication strategies in both donation contexts. The proposed method is a netnographic comparative analysis, involving systematic observation of YouTube comments, chat logs, and video descriptions from 10 Christian channels (5 marapthon‑focused, 5 sermon‑focused) over six months, supplemented by semi‑structured interviews with content creators and donors. The main findings reveal that marapthon donations emphasize urgency and real‑time social proof, while sermon donations rely on theological framing and pastoral trust. The synthesis proposes a hybrid system architecture incorporating real‑time donation tracking, automated acknowledgment, and weekly theological reflection modules. In conclusion, integrating both models into a single development framework enhances donor engagement and aligns digital charity with Christian communication ethics, offering practical guidelines for church‑based YouTubers and platform developers.

This study examines disaster management strategies in earthquake-prone countries, with a comparative focus on Japan and the Philippines as case studies for lessons applicable to public administration systems worldwide. Using a qualitative comparative analysis approach, the research evaluates institutional frameworks, policy instruments, community engagement mechanisms, and intergovernmental coordination systems deployed in both countries. Japan’s highly centralized yet locally adaptive Disaster Management Basic Act framework is contrasted with the Philippines’ decentralized National Disaster Risk Reduction and Management (NDRRM) system. Findings reveal that effective disaster management hinges on five critical pillars: strong legal frameworks, inter-agency coordination, investment in early warning systems, community resilience programs, and post-disaster recovery governance. The study further identifies that public trust, administrative capacity, and fiscal decentralization significantly influence disaster response outcomes. Lessons drawn from both countries offer practical recommendations for developing nations seeking to strengthen their disaster governance architectures. This research contributes to the growing body of knowledge on comparative public administration and disaster risk reduction, underscoring the imperative of integrated, adaptive, and community-centered governance frameworks in seismically active regions.

This research critically investigates the circulation of disinformation concerning the instability of fuel prices on the digital platform X and its subsequent implications for the polarization of modern society. In an era where unverified economic news frequently dictates public reaction, fake news often acts as a potent catalyst for mass anxiety. By implementing a quantitative framework driven by lexicon-based computational sentiment analysis, this study effectively processed a dataset of 500 public opinion samples extracted via Google Colab spanning from April 2024 to April 2026. To ensure computational accuracy and eliminate textual noise, the data underwent a rigorous preprocessing phase encompassing case folding, alongside the systematic removal of URLs, account mentions, numbers, hashtags, and punctuation marks. The statistical outcomes revealed a highly disproportionate emotional landscape, overwhelmingly dominated by 451 negative reviews. In stark contrast, neutral observations and positive affirmations were nearly absent, recording only 40 and 9 instances, respectively. The data compellingly illustrates that the relentless influx of pessimistic narratives regarding economic instability directly induces financial panic, undermines rational discourse, and severely fragments cyberspace into deeply polarized factions.

The swift proliferation of short-video-centric social media, notably TikTok, has revolutionized the educational landscape by facilitating novel methods of knowledge production, dissemination, and interpretation. This phenomenon denotes a transition in media and signifies an epistemological transformation in educational practices within the digital age. This study seeks to analyze the representation and interpretation of knowledge in TikTok educational content using a qualitative methodology grounded in an interpretive case study framework. Data were gathered via digital participant observation, comprehensive interviews, and document analysis involving 12 participants, comprising educational content creators and active TikTok users in higher education settings. Thematic data analysis was performed utilizing a Multimodal Critical Discourse Analysis framework to elucidate the interplay among visual, verbal, and auditory components in the construction of meaning. The results show three main patterns: the conflict between quick understanding and deep knowledge, the importance of emotional multimodal experiences in learning, and the negotiation of knowledge authority in changing digital spaces. These results indicate that learning via TikTok encompasses not only cognitive aspects but also intricate emotional, aesthetic, and social dimensions. This study theoretically enhances multimodal discourse analysis by integrating users' subjective experiences, while practically informing the advancement of critical digital literacy and the design of social media-based learning. Moreover, this study facilitates additional investigation into algorithmic dynamics, digital identity, and the evolution of learning methodologies within platform-centric contexts.

This study discusses the design and testing of a growing media moisture and water level monitoring system based on ESP32-MQTT. The system was developed to support real-time monitoring of growing media conditions and water availability through a monitoring dashboard. This research used an experimental method with a design and implementation approach by developing an ESP32 circuit connected to a capacitive soil moisture sensor and a water level sensor, then sending sensor data to the dashboard through the MQTT protocol and Node-RED. Testing was carried out using a plant pot as the moisture testing medium and a water container as the water level testing medium. The results showed that the growing media moisture sensor displayed 0% in dry and very dry soil conditions, 61% in moist soil, and 89% in very moist soil. The water level sensor displayed 0 cm, 2.4 cm, and 4 cm according to the testing conditions. These results indicate that ESP32-MQTT can be used as an initial prototype for monitoring growing media moisture and water level before being applied to a complete hydroponic or aquaponic system.

This study examines eschatology within the framework of Catholic faith as a reflection of faith and hope of salvation, not merely as a depiction of the end times. The background highlights the need to avoid reducing eschatology to a sole event of judgment day, by emphasizing the close relationship between eschatology, Christology, and soteriology, as well as the role of faith in the daily life of Catholic believers. The aim of the study is to articulate eschatology as an integrative framework that connects faith, hope, love, sacraments, liturgy, and inculturation in the Church’s praxis, and to consolidate the active participation of the faithful in the Kingdom of God, which has been initiated but not yet completed. The research method is descriptive-analytical literature review, comparing the views of experts, the Church Magisterium, and contemporary liturgical and theological documents to construct a comprehensive theoretical framework. The main findings indicate that Catholic eschatology functions as a moral and spiritual engine: (1) it integrates the “already and not yet” in the experience of faith; (2) it links eschatological hope with the actions of love, justice, and social liberation; (3) it bridges private faith with sacramental practice and inculturation. Theological and pastoral implications include strengthening faith formation, participation in liturgy, and an imaginative response to present-day social and environmental challenges. This narrative affirms a living, inclusive, and relevant eschatology for the Church’s life of faith in the contemporary era.

Public health is an important indicator of the success of regional development and the quality of public services. Local governments play a strategic role in the provision of healthcare services through adaptive, effective, and community-oriented policies. This study aims to analyze local government policies in addressing public health issues through a literature review approach. The research method employed a literature study by examining scientific journals, laws and regulations, books, and policy documents related to regional health policies in Indonesia. The findings indicate that regional health policies are influenced by decentralization, fiscal capacity, the quality of governance, and inter-institutional synergy. Policy implementation continues to face several challenges, including limited budgets, low quality of healthcare human resources, unequal access to healthcare services, and weak intersectoral coordination. However, public service innovation and the strengthening of good governance have proven effective in improving healthcare service delivery. This study emphasizes that the success of regional health policies is determined by government commitment, community participation, integration between central and local policies, institutional strengthening, budget optimization, and service innovations based on community needs.

Unemployment remains a serious challenge in Aceh, with an Open Unemployment Rate (OUR) of 8.24% (2025) in Lhokseumawe City and 6.54% (2025) in Banda Aceh City. This study compares the implementation and effectiveness of unemployment alleviation policies in the two cities using Van Meter and Van Horn's policy implementation framework with four effectiveness indicators: training absorption, job placement rate, corporate compliance, and community participation. A descriptive qualitative method with a literature study approach was employed, utilizing secondary data from journals, theses, and official documents. The findings show that Banda Aceh focuses on competency-based training through the Job Training Center (BLK) with certification and third-party partnerships. Lhokseumawe prioritizes Qanun Number 1 of 2020 on local labor priority (minimum 40%). Based on the indicators, Banda Aceh is more effective (55% of graduates employed) compared to Lhokseumawe, where local labor priority implementation is weak due to the absence of sanctions and non-existent coordination with PT. PAG. The novelty of this study lies in its systematic comparison of two Acehnese cities using a policy implementation model that integrates demographic bonus and local context. Specific recommendations: Banda Aceh needs to expand BLK capacity, extend training duration (9–12 months with internships), and mandate graduate absorption reports. Lhokseumawe needs to revise the qanun by adding administrative sanctions, recruit permanent instructors, establish a tripartite supervisory team, and establish an energy-sector BLK in the Arun area in collaboration with PT PAG.

Multicultural competence refers to an individual's capacity to navigate and value the diversity within their environment. This skill is essential for all strata of Indonesian society, given Indonesia's diversity in ethnicities, cultures, languages, and faiths. Teachers occupy a pivotal role in fostering multicultural competency within society, as they engage directly with pupils on a regular basis. Teacher intercultural competency has three primary dimensions: knowledge, attitudes, and skills. Multicultural knowledge can be acquired through multiple avenues, including formal education, specialised training, or firsthand experience with varied populations. Multicultural education seeks to equip students with an awareness of the complexities of variety in society, enabling them to coexist amicably. The fundamental principles of multicultural education encompass equality, democracy, pluralism, and tolerance. Educators, as pivotal participants in the educational process, are anticipated to comprehend multicultural values conceptually and to incorporate them into everyday instructional activities. Consequently, the multicultural competency of educators may cultivate students who are not only academically proficient but also possess an inclusive mindset, value diversity, and are prepared to engage in a pluralistic society.

 This study aims to analyze the use of Google Translate in the process of learning English, highlighting its benefits, limitations, and impact on students’ learning quality. This research employs a qualitative approach using a library research method, where data are obtained from various literature sources such as books, scholarly articles, and relevant online publications. The findings indicate that Google Translate is widely used by students as a tool to quickly and practically understand English texts. However, this high level of usage also leads to several issues, including the inaccuracy of translations in certain contexts, increased dependency on technology, and a limited understanding of language structure. Nevertheless, Google Translate still provides advantages in improving learning efficiency and access to global knowledge resources. Therefore, the use of this technology needs to be guided wisely so that it supports the learning process without reducing students’ cognitive engagement. This study is expected to contribute to a better understanding of the role of technology in language learning in the digital era and to serve as a reference for educators and students in utilizing technology more effectively.  

Strengthening literacy in secondary education is essential in responding to the demands of 21st-century learning. Teachers play a crucial role in integrating literacy into classroom practices; however, their understanding and skills in implementing literacy-based learning are often still limited. This community service program aims to enhance teachers’ competencies in developing literacy-based instruction at State Senior High School 5 Purworejo through a participatory and sustainable training and mentoring approach. The program involved 30 teachers and was conducted in three stages: preparation and planning, implementation, and mentoring and evaluation. The results show a significant improvement in teachers’ understanding of literacy, with the average score increasing from 62.4 to 84.7. A total of 87% of teachers were able to design literacy-based lesson plans effectively, while 73% successfully implemented them in classroom practice. Positive impacts were also observed among students, who became more active in discussions and more confident in expressing their ideas. Qualitatively, the program revealed a shift in teachers’ perspectives, where literacy is no longer seen as an additional activity but as an integral part of meaningful learning that fosters critical and reflective thinking. Overall, this program not only improved teachers’ technical competencies but also strengthened their professional awareness in creating more meaningful learning experiences. The mentoring process played a key role in supporting this transformation by providing a reflective and supportive space for continuous learning and growth.

Kemuning Lor Village, Jember Regency, has significant potential in the agricultural and livestock sectors; however, the utilization of agricultural, livestock, and household waste remains suboptimal. Waste such as rice straw, animal manure, and household refuse is generally not processed effectively, leading to environmental pollution and the loss of potential economic value.