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Sea cucumbers (Holothuroidea) are marine organisms of high ecological and economic value, yet their populations in many tropical regions have declined due to exploitation pressures. This study aimed to analyze the density and distribution patterns of sea cucumbers in the coastal waters of Tuhaha, Saparua Island, Central Maluku Regency. A quantitative descriptive survey was conducted using 1 × 1 m quadrat transects along eight transect lines perpendicular to the shoreline. Density was calculated based on the number of individuals per unit area, while distribution patterns were determined using Morisita’s index. Four species of sea cucumbers were identified, namely Holothuria scabra, Holothuria atra, Bohadschia vitiensis, and Bohadschia marmorata, with a total of 33 individuals and an overall density of 0.19 ind/m². Species H. scabra exhibited the highest density (0.11 ind/m²), whereas H. atra and B. vitiensis had the lowest (0.01 ind/m²). The population distribution was aggregated (Id = 6.11), indicating a strong association with specific microhabitats, particularly muddy-sand substrates. Environmental parameters (temperature 30°C, salinity 30 ‰, pH 6.90) remained within the optimal tolerance range for sea cucumbers. These findings indicate that Tuhaha waters continue to support Holothuroidea populations; however, the aggregated distribution pattern reflects vulnerability to overexploitation. Therefore, ecosystem-based management through habitat conservation, catch restrictions, and the integration of aquaculture and restocking is essential to ensure the sustainability of sea cucumber resources in Central Maluku.

Heritage language loss among immigrant and diaspora communities represents a critical challenge to cultural identity, intergenerational communication, and cognitive diversity. Traditional heritage language maintenance approaches face significant barriers including limited resources, lack of qualified instructors, geographic dispersion, and competing demands of dominant language acquisition. This study investigates the effectiveness of bilingual digital story applications as innovative tools for heritage language maintenance among children aged 4-12 years. Through a 24-month longitudinal mixed-methods study involving 1,843 families across eight language communities (Spanish, Mandarin, Arabic, Korean, Tagalog, Vietnamese, Hindi, and Polish), we examined language proficiency development, cultural identity formation, family engagement patterns, and app usage behaviors. Quantitative analysis of pre- and post-intervention language assessments revealed statistically significant improvements in heritage language vocabulary (effect size d=0.68), listening comprehension (d=0.54), and oral production (d=0.47) among children using bilingual story apps for at least 20 minutes daily. Qualitative findings from parent interviews and child focus groups highlighted the apps' role in making heritage language learning enjoyable, facilitating parent-child interaction, connecting children to cultural narratives, and normalizing bilingualism. However, effectiveness varied substantially based on app design features, with interactive elements, culturally authentic content, parent involvement scaffolds, and adaptive difficulty showing strongest associations with outcomes. This research demonstrates that thoughtfully designed bilingual story apps can serve as accessible, scalable tools for heritage language maintenance, though they function most effectively as complements to rather than substitutes for rich home language environments and community connections. The study contributes empirical evidence to inform app development, family language planning, and policies supporting linguistic diversity in increasingly globalized societies.

This community service activity was conducted at Grind Now Coffee Bar, an MSME in Batam City’s food and beverage sector, to address challenges in managing raw material inventory, which often led to inaccurate stock records, shortages, and overstocking, affecting daily operations and efficiency. The program aimed to improve inventory management by applying the Economic Order Quantity (EOQ) and Reorder Point (ROP) models, providing a systematic and measurable approach to procurement. Activities included detailed observation of operational practices, interviews with staff to understand current challenges, collection of data on raw material usage and purchasing patterns, and the implementation of a website-based inventory control system to streamline record-keeping and monitoring. The results showed that EOQ and ROP models helped determine optimal order quantities and appropriate reorder timing, while the inventory system improved organization, reduced errors, and enabled real-time stock monitoring. Overall, this intervention enhanced decision-making, promoted operational efficiency, and supported the sustainability and competitiveness of Grind Now Coffee Bar.

The integration of artificial intelligence chatbots as virtual teaching assistants (VTAs) represents a transformative shift in student support services within higher education. This study investigates the implementation, effectiveness, and impact of AI-powered chatbots in providing academic support, administrative assistance, and personalized guidance to university students. Employing a longitudinal mixed-methods approach over 18 months, this research analyzed data from 2,347 students across 15 universities that deployed VTA systems, examining interaction patterns, student satisfaction, learning outcomes, and cost-effectiveness. Quantitative analysis of 487,392 chatbot interactions revealed that VTAs successfully handled 78.4% of student queries without human intervention, with response times averaging 3.2 seconds compared to 4.7 hours for traditional support channels. Qualitative findings from focus groups and interviews highlighted students' appreciation for 24/7 availability, immediate responses, and non-judgmental interactions, while also revealing concerns about empathy limitations, complex query handling, and the desire for human connection in critical situations. The study demonstrates that VTAs significantly improve support service accessibility and efficiency while reducing operational costs by an average of 43%. However, optimal implementation requires careful integration with human support staff, continuous training of AI systems, and attention to equity issues in digital access. This research contributes to understanding how AI can augment rather than replace human educators, offering evidence-based recommendations for implementing VTA systems that enhance student success while maintaining the human elements essential to quality education.

This study examines the effectiveness of interactive digital platforms in improving student academic outcomes. The integration of digital platforms in education is becoming increasingly important, but challenges arise regarding educators' adaptation of technology. This study analyzes the effectiveness of platforms such as Kahoot and Padlet through a systematic literature review. The study identifies gaps in previous research that focused more on platform features than on learning outcomes and educator adaptation. Using a systematic literature review of 45 peer-reviewed articles (2019-2024), this study explores the relationship between platform interactivity, educator technology proficiency, and measurable academic improvement. Data analysis uses thematic coding to identify patterns in successful digital learning implementation. The results show that interactive platforms can improve academic performance by 15-25% if educators have adequate technological skills, but success rates decline without proper training. This study proposes a comprehensive framework that integrates platform effectiveness metrics with educator development strategies. Recommendations include structured technology training programs and standardized assessment protocols to measure the effectiveness of digital learning.

Measurement learning is a fundamental and applicable mathematical topic in everyday life, but it often causes learning difficulties for students, especially in understanding the meaning of units, relationships between quantities, and the conceptual measurement process. These difficulties are not only caused by students' limited cognitive abilities, but also by learning designs that do not fully facilitate social interaction and student learning development. This study aims to reconstruct the contextual didactic design in measurement learning by reviewing the role of social interaction and the Zone of Proximal Development (ZPD) in the student learning process. This study uses a qualitative approach with the type of Didactic Design Research (DDR). The research stages include analysis of the initial didactic situation to identify student learning barriers, implementation of contextual didactic design in measurement learning, and retrospective analysis of student responses as a basis for reconstructing the didactic design. Data were collected through learning observations, analysis of student work results, interviews, and learning documentation. Data analysis was carried out qualitatively by examining social interaction patterns, forms of scaffolding, and student movements in the Zone of Proximal Development. The results of this study indicate that understanding of measurement concepts develops through social interactions between students and between students and teachers within a meaningful learning context. Social interactions and scaffolding provided gradually can encourage students to move from actual abilities to potential abilities within the Zone of Proximal Development. Retrospective analysis indicates that reconstruction of the didactic design is necessary to refine the learning context, activity sequence, and scaffolding strategies to better align with students' learning characteristics. The reconstruction of the didactic design can reduce learning barriers and improve the quality of students' conceptual understanding in measurement learning. This research provides theoretical contributions to the study of social constructivism-based mathematics education and provides practical implications for teachers in designing measurement learning that is more responsive to social interactions and student learning development.

This study aims to analyze the effectiveness of the application of direct and indirect methods in teaching English, specifically the topic of "Telling Time," at MTs Al-Amiriyyah through microteaching practice. This research employs a descriptive qualitative approach with data collection techniques including observation, interviews, and documentation. The research subjects consist of an English teacher and the students of class VIII A. The data were thematically analyzed to identify significant patterns in the teaching process. The findings indicate that the direct method is effective in building students' foundational understanding of time concepts, as it emphasizes explicit and concrete use of the target language and allows teachers to easily assess students' comprehension through drilling. On the other hand, the indirect method proved to enhance students’ ability to use English more naturally through contextual activities such as role play and daily schedule games. Moreover, students with kinesthetic learning styles responded more positively to the indirect method, as it enables them to learn through physical activity and direct participation. These findings suggest that a combination of both methods yields optimal results: the direct method is effective for the initial stage of concept acquisition, while the indirect method supports the development of communicative skills in a functional and enjoyable manner, aligning with students' characteristics.

Objective– This article aims to comprehensively examine the main types of food crop pests and their attack patterns through a systematic literature review approach. The research focuses on the dynamics of pest attacks, changes in ecological patterns due to climate change, and advances in modern identification technology that enable more accurate early detection. This study also highlights the significance of new paradigms of pest identification based on artificial intelligence (AI), genomics, and landscape mapping in supporting food security at the regional and national levels. Design/methodology/approach– This study used the Systematic Literature Review (SLR) method for scientific publications from 2015–2025 from reputable sources such as Scopus, Web of Science, PubMed, ScienceDirect, SpringerLink, Taylor & Francis, Wiley, AGRIS, and Google Scholar. Of the 326 articles identified in the initial stage, 30 articles in English and Indonesian were selected through a screening process based on strict inclusion–exclusion criteria. All articles were then analyzed using thematic coding techniques to produce an in-depth, evidence-based synthesis. Findings– The study produced four key findings: (1) there are five dominant pests in global food crops, namely Thrips tabaci, Spodoptera exigua/frugiperda, Helicoverpa armigera, Nilaparvata lugens and Sitophilus oryzae; (2) attack patterns are strongly influenced by temperature, humidity, pesticide resistance, and monoculture; (3) modern identification technology AI, drone imagery, multispectral sensors, and DNA Barcoding have increased detection accuracy to 94–98%; and (4) community-based early warning systems accelerate field response and reduce the risk of crop failure. Practical implications– These findings provide a scientific basis for local governments, agricultural extension workers, and farmers to gradually adopt pest identification technology and strengthen integrated monitoring systems at a regional scale. Authenticity/value– This article offers a new conceptual model of “Pest Identification Pyramid – Attack Pattern – Early Warning System” that integrates pest biology, digital technology, and community response to improve national food security.

Tuberculosis (TB) is one of the infectious diseases that remains a public health problem in Indonesia, including in West Java Province, which has a large population and high mobility. This condition has the potential to increase the risk of transmission and cause variations in the distribution of cases between districts and cities. This study aims to map the distribution of TB cases across all districts and cities in West Java Province from 2022 to 2024 using a spatial analysis approach. This analysis was conducted to describe the geographical distribution of cases, identify patterns of spread, and determine areas with relatively high or low case rates. TB data was obtained from routine recording and reporting by health facilities in West Java, then integrated with population and administrative boundary data. The results of the analysis provide information on case distribution patterns between regions and trends in case changes from year to year. The findings of this study are expected to serve as a basis for local governments in formulating more targeted TB prevention and control strategies, through a focus on interventions in areas with a high case burden, as well as optimizing sustainable public health programs in West Java Province.  

The main objective of the Citizenship Education (PKn) course in higher education is to develop students into individuals with nationalist, participatory, and critical characters towards national dynamics. Conventional learning approaches that are still dominant in higher education, such as one-way lectures and memorization of materials, are considered less able to encourage active participation and the development of critical thinking patterns of students in the Citizenship Education (PKn) course. This study aims to identify the effectiveness of the application of innovative learning methods in improving students' activeness and critical thinking skills. Using a descriptive qualitative approach, data were collected through classroom observations, interviews with lecturers and students, and analysis of lecture documents from three study programs at Merdeka University of Malang. The results of the study showed that the application of learning strategies such as Project Based Learning, role playing, utilization of interactive multimedia, collaborative discussions, and nationality-based simulations were able to significantly increase students' participation and critical understanding. This method is relevant to the needs of learning in the era of globalization that demands digital literacy, cross-disciplinary collaboration, and contextual problem solving. Based on these findings, this study recommends the integration of innovative methods into the Civics curriculum in higher education, pedagogical training for lecturers, and the provision of technological infrastructure that supports the implementation of competency-based learning in the era of globalization.

This research is motivated by the low level of discipline among elementary school students, characterized by non-compliance with rules, tardiness, and other negative behaviors, thus requiring the role of Pancasila and Citizenship Education (PPKn) as a strategic solution. This research aims to examine the role of PPKn learning in shaping the discipline of elementary school students through a library research approach. This research method uses a systematic and comprehensive library research method to assess the contribution of PPKn learning in forming the discipline of elementary school students (SD). The main focus is on national scientific sources in Indonesian and English languages from the period 2020-2025, with the aim of identifying patterns and strategies of PPKn learning towards improving student discipline in SD. The study results show that PPKn learning is effective in internalizing discipline values through habituation, teacher exemplification, continuous evaluation, and the use of innovative learning media such as educational videos. The involvement of teachers, schools, and parents is an important factor in supporting the formation of student discipline character, with strategies such as family collaboration and group supervision to overcome external challenges. This research provides a theoretical contribution as a basis for developing applicable PPKn learning strategies to form a disciplined generation in elementary schools. The implications of this study indicate that PPKn learning has a strategic role in shaping the discipline of elementary school students, thus requiring synergy between teachers, schools, and parents to optimize the internalization of character values in every learning activity.

The development of digital technology has driven significant changes in people's transaction patterns, including the increased use of app-based financial services. This study aims to analyze the role of the DANA app in increasing the convenience of cashless transactions in Indonesia. The method used was a literature review, analyzing journals, reports, and official documents related to the use of digital wallets and the development of DANA services over the past three years. The results show that DANA contributes to accelerating transaction processes, increasing accessibility to financial services, and providing secure and efficient payment features. Features such as QRIS, flexible balance top-ups, instant transfers, and integration with various public and commercial services have proven to facilitate users' cashless transactions. However, challenges remain, including unequal digital literacy, data security risks, and network limitations in some regions. Overall, the DANA app plays a crucial role in accelerating the digital payment ecosystem and increasing transaction convenience for the Indonesian people.

Regional development faces dynamic challenges amid rapid economic growth driven by natural resource extraction. This study aims to identify leading economic sectors, analyze structural economic transformation, and evaluate the role of these sectors in regional development. The research employs a quantitative method with a descriptive approach. Secondary data consist of Gross Regional Domestic Product (GRDP) at constant prices over the past five years. The analytical techniques applied include Location Quotient analysis to identify base sectors, Shift-Share analysis to assess structural changes as well as comparative and competitive advantages, and Klassen Typology to classify sectoral growth patterns. The results reveal a structural shift from primary sectors, such as agriculture and fisheries, toward secondary sectors, including mining and manufacturing. Despite challenges related to development equity, these leading sectors serve as key drivers of regional economic growth. To maximize the contribution of leading sectors to broader regional development, this study recommends that government policies prioritize the strengthening of intersectoral linkages.

Madhhab fanaticism in Islamic education, which appears in fiqh teaching practices that tend to absolutize a single madhhab, restrict dialogical space, and insufficiently appreciate the diversity of scholarly opinions. Such conditions may foster exclusive and intolerant religious attitudes among students. To respond to this problem, the study employs a qualitative approach with a library research design by critically examining books, journal articles, and documents related to fiqh madhhabs, Islamic education, religious moderation, and multicultural education. The data are analyzed using content analysis and descriptive–analytical techniques to map the forms of madhhab fanaticism in the learning process, the stages of transformation in madhhab understanding, and the pedagogical strategies that support the emergence of tolerant attitudes. The findings indicate that the transformation toward a more tolerant understanding of madhhabs is supported by curricula that accommodate comparative fiqh (multi-madhhab), inclusive learning materials, dialogical teaching methods, and teachers’ role modeling of moderate attitudes. Inhibiting factors include deeply rooted madhhab fanaticism, the dominance of conservative curricula, ideological bias in textbooks, and a weak culture of critical thinking. It is concluded that strengthening fiqh instructional design that consciously integrates religious moderation and multicultural education is essential for shifting madhhab understanding from patterns of fanaticism to patterns of tolerance within Islamic educational institutions.

Background: The increasing complexity of industrial production systems requires machine condition monitoring solutions that are capable of operating in real time with high accuracy and responsiveness to support predictive maintenance strategies. Conventional cloud based monitoring systems often experience limitations such as high latency and dependence on stable network connectivity, which can delay decision making processes in critical industrial operations. Objective: This study aims to design and evaluate an Industrial Internet of Things (IIoT) architecture based on edge computing to improve the efficiency of industrial sensor data processing and accelerate anomaly detection in industrial machines. Method: The research adopts an experimental approach by designing a system architecture consisting of a sensor layer, edge computing layer, and cloud layer. Industrial sensors, including vibration, temperature, and current sensors, continuously collect machine operational data, which are then processed locally at the edge node using a machine learning based anomaly detection algorithm. System testing is conducted in a simulated manufacturing environment to evaluate performance based on latency, reliability, and detection accuracy. Results: The results indicate that edge based data processing significantly reduces latency compared with cloud-based processing and enables faster responses to machine condition changes. Additionally, the implemented anomaly detection algorithm achieves high accuracy in identifying abnormal sensor data patterns.

This study aims to analyze the influence of emotional intelligence and spiritual intelligence on the performance of Generation Z employees, with employee engagement as a mediating variable in the hybrid work era. The phenomenon of changing work patterns due to technological developments and the global pandemic has created a new work model that demands adaptive skills and emotional and spiritual balance within individuals. Generation Z, known for being technologically savvy but prone to digital fatigue, requires internal support in the form of emotional and spiritual intelligence to increase work engagement and optimal performance. This research method used a quantitative approach, collecting data through questionnaires from 120 Generation Z employees in various industrial sectors implementing a hybrid work system. Data analysis was conducted using Structural Equation Modeling (SEM). The results showed that emotional intelligence and spiritual intelligence have a significant positive effect on employee engagement and performance. Furthermore, employee engagement was shown to mediate the relationship between these two forms of intelligence and performance. These findings emphasize the importance of developing emotional and spiritual dimensions in human resource management to address the dynamics of the modern workplace.

Welfare for the poor is the most important topic in improving citizens. Islam as Ad-diin has offered several teachings for humans that apply universally with two dimensional characteristics, namely happiness and well-being in life in this world and in the hereafter. In the concept of the modern world, welfare is a condition where a person can fulfill basic needs, be it the need for food, clothing, shelter, clean drinking water as well as the opportunity to continue education and have adequate work that can support the quality of life so as to have a social status that leads to the same social status as other citizens. ZIS as an extension of the government in helping the needs of the poor with the aim of improving the welfare of the community who initially as zakat recipients turned into zakat givers, so that later the funds used will be evenly distributed and felt by the wider community. as well as purifying assets that may be accidentally mixed with assets that are forbidden for consumption. The urgency of ZIS in Sidowungu is one of the main elements of effective and efficient zakat management in order to realize the welfare of the community. As for the discussion of this article about the welfare pattern for the poor as the process of distributing ZIS funds in Sidowungu Village. The method used in this article is a quantitative approach. The subjects of this study were 165 poor people in Sidowungu Village, while the sample size was 65 poor people using probability sampling. The results of the study, processed using the PASW SPSS 23 for Windows program, showed that partial test results for H0 were rejected and H1 was accepted if the calculated t value was greater than the table t value or the sig value was less than 0.05. This means that the distribution of funds partially affected the welfare of the poor in Sidowungu Village. The magnitude of the influence between variables can be seen from the coefficient of determination of 0.079, meaning that 79.0% of the welfare of the poor in Sidowungu Village was influenced by the distribution of ZIS funds, while the remaining 21.0% was influenced by other variables not included in this study.

The development of social media as part of digital technology has significantly transformed patterns of social interaction among adolescents in Indonesia. Social media no longer functions solely as a medium for communication and self-expression, but also as a social space that influences behavioral formation, including deviant and criminal behavior. This study aims to analyze the influence of social media on juvenile criminal behavior from a criminological perspective, with particular attention to social learning processes and the weakening of social control in digital environments. This research employs a qualitative method using a literature study approach by examining scientific journals, official reports, and statistical data related to social media use and adolescent behavior. The findings indicate that high intensity of social media use, exposure to negative content, and the normalization of aggressive behavior in digital spaces contribute to increased vulnerability of adolescents to criminal behaviors such as cyberbullying, online aggression, and other forms of deviance. Within the framework of Social Learning Theory, social media serves as a medium for behavioral learning through mechanisms of observation, imitation, and social reinforcement, while Social Control Theory highlights how weak supervision by families and educational institutions amplifies the risk of deviant behavior. The implications of this study emphasize the importance of preventive, non-penal approaches through strengthening social control, improving digital literacy, and enhancing the active role of families and schools to minimize the risk of juvenile criminal behavior in the digital era.

Mining operations rely heavily on the performance and reliability of heavy equipment used in the production process. One of the most important hauling units in open-pit mining is the dump truck, which functions to transport overburden and coal from the mining front to disposal areas. Due to high operational intensity, dump trucks require effective maintenance management to ensure equipment reliability and reduce unexpected downtime. However, maintenance activities are often carried out based only on routine service schedules without analytical planning based on historical data. This study aims to analyze the implementation of forecasting methods in maintenance management to improve the effectiveness of dump truck maintenance planning in mining operations. The research was conducted during field work practice at PT Putra Perkasa Abadi Jobsite BIB, Tanah Bumbu, South Kalimantan. The data used were historical maintenance records of dump truck units obtained from the maintenance department. The research method used a quantitative approach with time series forecasting analysis to identify maintenance patterns and estimate future maintenance needs. The results show that forecasting-based maintenance planning can help companies predict maintenance requirements more accurately and prepare maintenance resources more efficiently. Furthermore, the implementation of forecasting methods can reduce unexpected equipment failures and support operational efficiency in mining activities.

This study aims to analyze the perceptions of students from various majors regarding the urgency of legal protection for the Napoleon wrasse (Cheilinus undulatus), a rare and endangered marine species that plays a crucial role in maintaining the balance of coral reef ecosystems. This fish faces serious pressure due to overexploitation and illegal trade, thus requiring special attention from a legal and conservation perspective. This study used a qualitative descriptive approach with purposive sampling technique, involving students from marine, fisheries, environmental, and legal departments. Primary data were collected through a questionnaire designed to elicit respondents' insights, level of understanding, and recommendations regarding the protection of this species. The data obtained were then analyzed using thematic analysis to identify patterns of perception and key ideas. The results showed that the majority of students considered legal protection for the Napoleon wrasse to be very urgent. They advocated for strengthening regulations, stricter law enforcement, increased surveillance in water areas, education for coastal communities, development of conservation and cultivation programs, and strengthening international cooperation. The implications of this study emphasize the importance of a comprehensive and collaborative protection strategy to support the sustainability of marine resources.