State University of Gorontalo

Multicultural tensions and identity fragmentation in plural societies highlight the need for educational models that foster tolerance and social cohesion. This study examines how multicultural values are internalized in an Islamic secondary school through an integrated framework combining multicultural education, diversity-equity-inclusion (DEI), peace education, and Islamic pedagogy. A qualitative case study was conducted in a culturally diverse urban Islamic school in Indonesia. Data were collected through semi-structured interviews with teachers and school leaders, focus group discussions with students, classroom observations, and document analysis. Thematic analysis revealed three key mechanisms of value internalization: dialogic and value-oriented teaching practices, inclusive institutional policies that promote equity and participation, and relational student interactions characterized by empathy and cooperation. These mechanisms were underpinned by Islamic moral principles of moderation (wasathiyyah), justice (‘adl), and compassion (rahmah), which reinforced rather than conflicted with multicultural and peace-based values. The findings suggest that multicultural, inclusive, and peace-oriented education can be effectively integrated within Islamic schooling contexts when supported by coherent pedagogical, structural, and moral foundations. This study contributes an empirically grounded model of multicultural value internalization and offers practical implications for faith-based schools seeking to cultivate inclusive and peaceful learning environments.

Chemical contaminants in food remain a persistent global public health concern, necessitating continuous advances in detection and mitigation strategies across the food supply chain. This review critically synthesizes recent advances, with an emphasis on studies published since 2024-2025, while drawing on foundational literature where necessary, to examine the detection, toxicological assessment, and control of chemical food contaminants. Five major contaminant groups are addressed: heavy metals, mycotoxins, pesticide residues, persistent organic pollutants, and emerging contaminants, including per- and PFAS, nanoplastics, and endocrine-disrupting chemicals. Recent developments in detection technologies are systematically evaluated, encompassing nanomaterial-based biosensors, advanced spectroscopic and electrochemical platforms, and artificial intelligence-assisted data analysis, with a focus on their potential for rapid, sensitive, and real-time monitoring in complex food matrices. In parallel, emerging mitigation strategies such as probiotic-mediated biodetoxification, bio-based active packaging, and molecularly imprinted polymers for selective toxin removal are critically assessed in terms of efficacy, applicability, and limitations across different stages of food production and processing. Beyond single-contaminant risks, this review examines mixture toxicity arising from co-occurring contaminants, summarizing current evidence on synergistic and additive effects that challenge conventional risk assessment frameworks. Regulatory and governance considerations are discussed from a global perspective, highlighting persistent gaps in harmonized standards, surveillance capacity, and risk assessment implementation, particularly in developing regions. In addition, public perception and consumer acceptance of advanced detection and mitigation technologies are explored, with attention to issues of sustainability, transparency, and trust. Overall, this review identifies critical knowledge gaps, technological bottlenecks, and policy priorities, underscoring the need for multidisciplinary innovation and coordinated regulatory efforts to ensure a safer and more sustainable food supply under evolving chemical contaminant risks.

Background: Vocational students often struggle to understand English texts that are complex and not related to their daily lives. In Eastern Indonesia, the lack of culturally relevant materials can reduce engagement and comprehension. Integrating local wisdom into reading materials can bridge this gap by connecting learning with students’ experiences, supported by schema theory and culturally responsive pedagogy. Aims: This study aimed to identify vocational students’ needs for English reading materials incorporating local wisdom in Banggai Laut, Central Sulawesi, and to examine how cultural elements relate to students’ reading challenges, learning needs, and preferences. Methods: This study employed a descriptive quantitative approach using a descriptive survey design within a needs analysis framework. The analysis of target needs (lacks, needs, and wants) was informed by Hutchinson and Waters, while learning needs (input, procedures, teacher roles, learner roles, and settings) were based on Nunan. Twenty students from SMK Al-Hajar and SMK Negeri 2 Banggai participated during the 2024/2025 academic year. Data were collected through a 33-item Likert-scale online questionnaire. The data were analyzed using mean scores and percentages to identify dominant response patterns. Results: The findings revealed that students experienced difficulties with complex sentence structures, technical vocabulary, and factual texts lacking cultural relevance. They reported strong needs for vocabulary support, culturally familiar topics, visual aids, and teacher guidance. Students preferred reading materials related to local folktales, coastal life, traditions, and regional history, and favored activities such as independent reading, small-group discussion, summarizing, highlighting keywords, and strategy modeling. Implications: Mapping students’ target and learning needs prior to material development is essential for vocational contexts. Incorporating local wisdom can support more engaging, comprehensible, and contextually relevant English learning aligned with students’ cultural backgrounds.

Public complaint services play an important role in improving public service quality and strengthening communication between citizens and village governments. However, the manual complaint handling process currently implemented in several village offices in Telaga Biru District faces various challenges, including slow response times, lack of transparency, and the risk of data loss. This study aims to design and develop an Integrated Community Complaint System Based on Interaction and Automation for village offices in Telaga Biru District. The research employed the Prototype development method, which facilitates continuous interaction between developers and users throughout the system development process. The system was developed using the Laravel framework for the web-based platform and Flutter for the mobile application. It incorporates chatbot-based interaction, automated complaint requirement validation, and an Elasticsearch-based solution recommendation engine. The results indicate that the system successfully facilitates online complaint submission, provides real-time information and validation, and assists village officials in managing and responding to public complaints in a more structured manner. Black Box testing results demonstrate that all system functionalities operate as expected. Therefore, the developed system is capable of enhancing the effectiveness, transparency, and responsiveness of public complaint services while supporting digital transformation in village-level public administration.

Aim/Purpose: The research aimed to design, develop, and test a system that enabled reciprocal knowledge flows between government, academia, business, media, and community stakeholders. Background: The research problem addressed in this study concerned the absence of an integrated, digital knowledge management (KM) system that could operationalize the Pentahelix framework to strengthen the management and governance of VOEs. Despite policy frameworks such as Government Regulation No. 11/2021, which formalized the operational mechanisms of Village-Owned Enterprises (VOEs) and emphasized entrepreneurship and community empowerment, challenges persisted in translating these frameworks into practice. Methodology: Employing a research and development (R&D) approach with Agile Scrum, the study engaged eight VOE managers from four villages in the Tomini Bay region of Gorontalo Province to elicit requirements through interviews, observations, and questionnaires. The system was developed iteratively over four sprints and implemented functionalities such as user authentication, collaborative forums, a knowledge repository, and analytics dashboards. The platform design utilized Unified Modeling Language (UML) diagrams to model workflows, actor roles, and class structures. System testing applied black-box and white-box approaches, complemented by sprint reviews and user acceptance testing. Contribution: This research contributed to the body of knowledge by offering both a conceptual framework and a tested prototype for digitally mediated multi-stakeholder collaboration in rural enterprise development. Findings: The findings underscored that digital KM platforms, when anchored in multi-stakeholder frameworks, served as strategic enablers of rural development. Evaluation demonstrated high system reliability with 100% functional test pass rate and optimized query response times (reduced by 60-75%). User acceptance testing revealed strong adoption potential, with Perceived Usefulness (M = 6.2/7.0), Intention to Use (M = 6.0/7.0), and Overall Satisfaction (M = 5.9/7.0) scores indicating high levels of satisfaction. Task completion rates improved from 72% in Sprint 1 to 95% in Sprint 4. The integration of the platform with potential e-government and e-commerce systems suggested significant implications for participatory governance, market democratization, and rural economic empowerment. Recommendations for Practitioners: Practically, by presenting a tested prototype developed using Agile Scrum methodology that served as a model for similar initiatives in developing countries. Recommendation for Researchers: Theoretically, by extending the application of KM and Pentahelix frameworks to rural enterprise contexts. Impact on Society: The platform’s adaptability to diverse digital readiness contexts signaled its transferability to other rural regions, provided that localized adjustments were made. Future Research: Future studies could explore the integration of automation, advanced analytics, and recommender systems while further evaluating the longitudinal impacts on business performance, collaboration intensity, and community well-being.