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The rapid development of Artificial Intelligence (AI) has opened new opportunities for teachers in designing instructional materials. This study aims to describe the effectiveness of using Perplexity AI in designing Natural and Social Science Knowledge (IPAS) materials in elementary schools. Using a quantitative descriptive approach, data was collected through questionnaires from three elementary school teachers as a preliminary study (pilot study). The indicators measured included ease of use, time efficiency, material quality, and usefulness. The research results indicate that Perplexity AI is highly effective, with an overall average score of 4.29, falling into the "Good" category. These findings demonstrate that Perplexity AI significantly supports teachers in organizing systematic lesson plans and improving teaching material preparation. This research provides a foundation for the broader implementation of AI tools in the education sector, suggesting that AI can be an effective aid in the development of educational content, ultimately enhancing the teaching and learning experience in schools.

The use of Search-Based Software Engineering (SBSE) for optimizing software architecture has evolved from fully automated to interactive approaches, integrating human expertise. However, current interactive tools face limitations: they typically support only single decision-makers, confine architects to passive roles, and induce significant cognitive fatigue from repetitive evaluations. These issues disconnect them from modern, team-based software development, where collaboration and consensus are crucial. To address these shortcomings, we propose "ArchEvolve," a novel framework designed to facilitate collaborative, multi-architect decision-making. ArchEvolve employs a cooperative coevolutionary model that concurrently evolves a population of candidate architectures and distinct populations representing each architect's unique preferences. This structure guides the search towards high-quality consensus solutions that accommodate diverse, often conflicting, stakeholder viewpoints. An integrated Artificial Neural Network (ANN) serves as a preference learning module, trained on explicit team feedback to act as a surrogate evaluator. This active learning cycle substantially reduces the number of required human interactions and alleviates user fatigue. Empirical evaluation on two industrial case studies (E-Commerce System and Healthcare Management System) compared ArchEvolve to a state-of-the-art interactive baseline. Results indicate that ArchEvolve achieves statistically significant improvements in both solution quality and consensus-building. The preference learning module demonstrated over 90% accuracy in predicting team ratings and reduced human evaluations by up to 46% without compromising final solution quality. ArchEvolve provides a practical, scalable framework supporting collaborative, consensus-driven architectural design, making interactive optimization a more viable and efficient tool for real-world software engineering teams by intelligently integrating cooperative coevolutionary search with a preference learning surrogate.

This study aims to describe the professional competence of Early Childhood Education (ECE) teachers in implementing technology-based learning at PAUD “X”. Teacher professionalism plays a crucial role in determining the quality of early childhood learning, particularly in the digital era where educators are expected to adapt to technological advancements. This research employs a descriptive qualitative approach, utilizing observations and semi-structured interviews to obtain an in-depth understanding of teachers’ abilities in managing learning processes, mastering instructional content, and integrating appropriate learning media. The findings indicate that teachers demonstrate strong pedagogical, social, and personal competencies. They successfully create an engaging and  developmentally appropriate learning environment, use language that is easily understood by young children, and exhibit patience, discipline, and effective communication skills. Positive interaction among teachers, children, and parents contributes to a supportive and collaborative learning atmosphere. Teachers also incorporate simple learning materials, such as origami and visual aids, to enhance student engagement. Nevertheless, the study reveals that teachers’ professional competence in utilizing digital technology remains limited. Although technological tools are available, several teachers lack confidence and technical skills in operating digital devices, such as projectors and interactive media. Insufficient training and mentoring are identified as primary barriers. The study concludes that strengthening teachers’ technological competence should be prioritized through continuous professional development programs, including structured training and peer mentoring. Enhanced technological skills will enable teachers to design learning experiences that are more interactive, innovative, and responsive to the developmental needs of young children.

Background: Central Sulawesi has experienced a high frequency of natural disasters, with 111 recorded incidents in 2023 and 238 in 2022. The province was also designated as a high-risk disaster area in 2021. Blood pressure and cholesterol screenings are essential tools for diagnosing diseases, identifying risk factors, tracking disease progression, and assessing the effectiveness of treatments. Objective: This initiative aimed to provide free health screenings and offer basic food assistance to the community. Methods: The screenings were conducted in Wombo Village, Tanantovea District, Donggala Regency, Central Sulawesi. Results: The community health screenings revealed that the majority of adults and elderly participants had normal blood pressure and cholesterol levels. However, 5 individuals were found to have high blood pressure, while 20 participants exhibited normal levels. Additionally, 25 individuals had normal cholesterol levels. Conclusion: The screening results indicated that while most participants were in good health, a small percentage had elevated blood pressure, which warrants further attention. This initiative successfully provided free healthcare services and essential food support to the community.

Background: Central Sulawesi has experienced a high frequency of natural disasters, with 111 recorded incidents in 2023 and 238 in 2022. The province was also designated as a high-risk disaster area in 2021. Blood pressure and cholesterol screenings are essential tools for diagnosing diseases, identifying risk factors, tracking disease progression, and assessing the effectiveness of treatments. Objective: This initiative aimed to provide free health screenings and offer basic food assistance to the community. Methods: The screenings were conducted in Wombo Village, Tanantovea District, Donggala Regency, Central Sulawesi. Results: The community health screenings revealed that the majority of adults and elderly participants had normal blood pressure and cholesterol levels. However, 5 individuals were found to have high blood pressure, while 20 participants exhibited normal levels. Additionally, 25 individuals had normal cholesterol levels. Conclusion: The screening results indicated that while most participants were in good health, a small percentage had elevated blood pressure, which warrants further attention. This initiative successfully provided free healthcare services and essential food support to the community.

This research aims to examine the impact of integrating cleaner production practices with green supply chain technologies as a comprehensive approach to achieving environmental sustainability. The study highlights that cleaner production and green supply chain management represent advanced, innovative strategies that have emerged as a response to the growing environmental challenges caused by the rapid expansion and diversification of industrial activities. These technologies are not only environmentally oriented but also carry significant economic implications for organizations. The findings emphasize that adopting cleaner production involves minimizing waste generation, improving production efficiency, and ensuring that processes are designed to have minimal adverse effects on the environment. On the other hand, green supply chain technologies focus on integrating environmental thinking into every stage of the supply chain—ranging from product design, material sourcing, and manufacturing processes to logistics, product delivery, and end-of-life management. The study concludes that the synergy between these two approaches provides multiple benefits. From an environmental perspective, they contribute to reducing carbon emissions, particularly from fuel-powered machinery and transportation systems. They also promote the rational use of resources, including energy, water, and raw materials, thereby helping to preserve natural resources for future generations. From an economic perspective, their implementation leads to reduced operational costs by enhancing efficiency, decreasing waste disposal expenses, and optimizing resource usage. Furthermore, the integration of cleaner production and green supply chain technologies supports compliance with environmental regulations and enhances the corporate image of economic units, enabling them to gain competitive advantages in increasingly eco-conscious markets. Overall, the research affirms that these practices are essential tools for confronting and mitigating the environmental pollution challenges of modern industries, while simultaneously fostering sustainable economic growth and long-term environmental protection.

This research aims to: (1) differentiated biology learning tools with ethnoscience content, (2) determine the practicality of differentiated biology learning tools with ethnoscience content and (3) determine the effectiveness of differentiated biology learning tools with etnoscience content in improving critical thinking skills and environemantal literacy of phase E student. This study is a development research using the Design and Development Research model, which adopts the ADDIE development model comprising five stages: (1) analysis, (2) design, (3) development, (4) implementation, and (5) evaluation. The research method used is the Quasi-Experimental Design with a Nonequivalent Control Group Design approach. Data analysis includes normality tests, Levene's homogeneity test, and the Normalized Gain Score (N-Gain Score) test. The limited trial involved 30 eleventh-grade students from SMA Negeri 1 Simpangkatis. The field trial involved tenth-grade students from the same school, consisting of 31 students in the experimental class and 30 students in the control class. The data collection instruments consisted of questionnaires to gather responses from experts, teachers, and students regarding the biology learning tools, as well as tests to measure students' critical thinking skills and environmental literacy. Instrument validity was ensured through content validation by subject matter experts and media experts. The practicality of the learning tools was evaluated based on feedback from teachers and students. The results of the study showed that: (1) the developed biology learning tools were rated as highly feasible by experts; (2) the tools were considered highly practical by both teachers and students; and (3) the tools were effective in improving students' critical thinking skills and environmental literacy. This effectiveness was supported by the average gain score analysis in the experimental class, which was 0.71 for critical thinking skills (high category) and 0.57 for environmental literacy (moderate category).

This Community Service Program (PKM) was designed to strengthen national character and identity through the application of Asta Cita values among the residents of Rejuno Village, Karangjati District, Ngawi Regency, East Java. Conducted over two days, the program involved active participation from youth groups, community leaders, and village officials. The activities consisted of the introduction of national and civic values, interactive discussions with local figures, and group reflections aimed at formulating social commitments rooted in the Asta Cita principles. The findings show a notable increase in participants’ understanding and appreciation of the eight core values: patriotism, mutual cooperation, honesty, responsibility, hard work, discipline, tolerance, and social justice. Moreover, local wisdom and traditions—such as martial arts practices and community deliberations—were revitalized as effective tools for embedding these values within daily life. This program highlights that national character building does not solely rely on formal education or governmental initiatives but can also grow organically from community-based cultural practices. By integrating local heritage with national ideals, the PKM successfully promoted a sense of unity, civic awareness, and moral responsibility among the people of Rejuno Village, illustrating how local culture can serve as a strong foundation for fostering national identity and integrity.

In the modern computing era, servers face significant challenges in data storage due to hardware failures, cyber attacks, or human errors. The problem highlighted focuses on the impact of file systems on three critical aspects: data integrity (accuracy and consistency of data without corruption), data recovery (the ability to restore data after a failure), and failure resilience (fault tolerance, such as redundancy and journaling to prevent downtime). The main issue is that traditional file systems like FAT32 or NTFS are often susceptible to fragmentation, metadata loss, or long recovery times, which can lead to data loss of up to 20-30% on enterprise servers, especially in high-traffic environments like cloud computing.A simple problem-solving process is conducted through a straightforward comparative analysis approach: (1) A literature review of popular file systems (ext4, ZFS, Btrfs); (2) Failure simulations using tools like fsck and stress testing on virtual servers (e.g., via KVM or Docker); and (3) Measuring performance metrics with benchmarking tools like Bonnie++ for I/O throughput, recovery time, and error rates. This process is designed to be simple, requiring only a virtual lab setup without expensive hardware, and is analyzed quantitatively with descriptive statistics.The solution to the problem indicates that advanced file systems like ZFS or Btrfs provide significant improvements: data integrity is up to 95% more secure through automatic checksums, data recovery is achieved in minutes through snapshots and RAID integration, and failure resilience is higher with copy-on-write features. The main recommendation is to migrate to journaling-based file systems for servers, combined with automated backups, which can reduce the risk of downtime by up to 50%. This research provides practical guidance for system administrators to enhance server reliability without excessive additional costs.

This study aims to examine the impact of using the Quizizz application on students’ learning interest in the Information Technology subject at SMK Negeri 3 Salatiga. The research employed a quantitative approach with a quasi-experimental design, involving an experimental class that utilized Quizizz as a learning medium and a control class that used conventional teaching methods. Data on students’ learning interest were collected through questionnaires and analyzed using the Independent Sample T-Test to determine significant differences between the two groups. The findings revealed that students in the experimental class who learned through Quizizz achieved a mean score of 68.96, while those in the control class obtained a mean score of 57.30. The statistical analysis indicated a significant difference between the two groups, suggesting that the use of Quizizz had a positive and measurable effect on enhancing students’ learning interest. The interactive features of Quizizz, such as real-time feedback, gamification elements, and visual engagement, likely contributed to students’ higher motivation and active participation during the learning process. Based on these results, it can be concluded that Quizizz serves as an effective and engaging digital tool to increase students’ enthusiasm for learning Information Technology. It is therefore recommended that educators integrate Quizizz into classroom activities as a complementary interactive learning medium. Future research is encouraged to investigate the application of other digital platforms or compare the effectiveness of different gamified learning tools across various subjects and educational levels.

This study aims to design and develop a web-based Asset and Goods Management Information System (SIPAB) implemented at Universitas STEKOM, Kendal Campus. The primary issue in asset management at this institution lies in the continued use of conventional tools such as Microsoft Excel and Word, which are prone to errors and inefficiency in reporting and monitoring. The research method used is Research and Development (R&D) with the Waterfall development model. Data collection techniques include observation, interviews, and literature study. The result of this research is a web-based system comprising modules for asset data, maintenance, disposal, and reports accessible internally. The system is expected to improve the efficiency, accuracy, and security of campus asset management.

This study aims to synthesize the literature on cognitive bias in auditor decision-making from 2015–2025. Using the Systematic Literature Review (SLR) method guided by the PRISMA framework, 50 scientific articles were systematically analyzed. A multi-level analysis was conducted to identify dominant types of biases, their influencing factors at the individual, organizational, and institutional levels, and effective mitigation strategies. The findings reveal four primary cognitive biases: anchoring, confirmation, overconfidence, and availability bias. Factors influencing the emergence of these biases include auditor experience and professional skepticism (micro-level), time pressure and organizational culture (meso-level), as well as professional regulations and the adoption of technology like AI (macro-level), which gives rise to automation bias. Identified mitigation strategies include bias-awareness training, the use of decision support tools, and strengthening professional skepticism through a supportive organizational culture. This review provides a comprehensive understanding of the dynamics of cognitive bias and offers practical implications for the development of training programs, professional policies, and audit system design in the digital era to enhance audit quality and objectivity.

Attendance is an essential component of school management that serves as both proof of presence and a basis for evaluating the discipline of teachers, students, and staff. The manual attendance system that is still widely used often leads to several issues, such as delayed data recapitulation, potential attendance manipulation, and low recording accuracy. This study aims to design and develop a web-based attendance application at SD Negeri 19 Pasar Cubadak by integrating geolocation, timestamp, and face recognition features as attendance validation tools. The research method employed is the Research and Development (R&D) approach using the Waterfall software development model, which includes the stages of requirements analysis, system design, implementation, and testing. The application was developed using the Laravel framework with PHP and JavaScript programming languages and a MySQL database. The results show that the web-based attendance application can record attendance in real-time, automatically validate user location and identity, and generate accurate and transparent attendance reports. The User Acceptance Test (UAT) results indicate that the system is user-friendly, improves recapitulation efficiency, and assists the principal in objectively monitoring school members’ discipline. Therefore, this application is expected to serve as a modern solution to enhance the effectiveness of attendance administration in primary education environments.

Advancements in modern information technology continuously require companies to present complex data more effectively, especially within the scope of sales management and business decision-making. Dashboards are essential, interactive tools that enable professionals and managers to make strategic decisions quickly, confidently, and based on accurate data visualization. This study focuses on designing an intuitive and user-centered Sales Monitoring Dashboard UI/UX for One Direction at PT. XYZ by applying the five iterative stages of the Design Thinking method, namely empathize, define, ideate, prototype, and test. Key user needs identified include real-time performance summaries, streamlined navigation flow, informative visual hierarchy, and visuals that remain consistent with corporate identity and brand values. The System Usability Scale (SUS) test involving 19 respondents resulted in an excellent average score of 80.92. These findings demonstrate that the Design Thinking approach effectively produces a user-friendly, consistent, and data-driven dashboard interface that supports timely, accurate, and informed business decisions.

Tele-Herbal Medicine is a technology-driven service designed to deliver herbal medicine consultations and therapies through wellness clinics, aiming to improve access to personalized and affordable care. This study systematically assesses its effectiveness, implementation, and challenges as part of integrated health services by reviewing relevant literature published in the past five years. Findings indicate that Tele-Herbal Medicine significantly enhances patient access, offering tailored and cost-efficient herbal treatments. Despite these promising outcomes, implementation faces key obstacles, including inadequate regulatory frameworks, the absence of standardized herbal product validation procedures, and concerns over patient data security. These limitations underscore the urgent need for comprehensive policies, quality assurance mechanisms, and strict data protection protocols, consistent with broader telemedicine guidelines. By addressing these issues, Tele-Herbal Medicine can evolve into a reliable and sustainable model, enabling wellness clinics to expand services without compromising safety or quality. Ultimately, its success depends on clear legal support, standardized validation systems, and robust monitoring tools to ensure effectiveness, safety, and full integration into the healthcare ecosystem, thus positioning it as an innovative solution that bridges traditional herbal practices with modern digital health services.

Indonesia is the fourth country in the world with the largest population. This problem can be a burden on the state in national development dan economic growth. To see the relationship of husbdan support dan trust of patients with the use of IUD contraception in the village of Patam Lestari Mentarau Puskesmas working area of Batam City. Methods this study is a quantitative study, using observational analytical design with cross sectional approach. The population in this study is PUS who use MKJP contraception in the working area of Patam Lestari Mentarau Health Center Batam City. The number of samples was 73 PUS dan using cluster rdanom sampling technique. Data collection tools using observation sheets dan questionnaires. Data analysis using chi-square test. Result most of PUS who get husband’s support with IUD contraceptive use are 41 people (91.1 %), while PUS who believe in IUD contraceptive use are 36 people (97.3%), the results of chi square statistical test for Husband’s support obtained p-value 0.000 < 0.05 dan for patient trust obtained p value 0.000 < 0.05. There is a significant relationship between the husband support dan the trust of patients with the use of IUD contraception in the village of Patam Lestari Mentarau Puskesmas working area Batam.

Background: Globally, stunting in children under five years old in 2022 is around 22.3% or 148 million children under 5 years old. In Southeast Asia alone, the prevalence of stunting is 26.4% or 14.4 million. Objective: This study was to determine the correlation complete basic immunization and the incidence of stunting in toddlers in the Working Area of UPT Puskesmas Batu Aji Batam City. Methods: This research is a quantitative study observational analytic design with a case control approach. The sample is 42 toddlers and using purposive sampling technique. Data collection tools use observation sheets and the chi-square test. Findings: The results of the chi square statistical test obtained a p-value of 0.005 <0.05 (OR = 6.400 (95% CI (1.654 - 24.770)). There is a significant relationship between complete basic immunization and the incidence of stunting in toddlers in the Working Area of UPT Puskesmas Batu Aji Batam City. Implication: Complete basic immunization has a significant impact on the growth and development of toddlers

This study investigates the use of experimental statistical analysis as an instructional approach to enhance students’ understanding of variable relationships in science learning. Many students tend to memorize experimental results without comprehending the underlying relationships between variables, resulting in limited analytical reasoning and superficial understanding. To address this issue, the present study explores how integrating basic statistical tools-such as mean, correlation, and regression-into experimental activities can strengthen conceptual comprehension, analytical reasoning, and scientific literacy. Grounded in constructivist and inquiry-based learning frameworks, the research emphasizes active engagement, where students participate in data collection, analysis, and interpretation to draw evidence-based conclusions. The study employed a quasi-experimental design involving science students divided into experimental and control groups. Both groups conducted similar laboratory experiments, but only the experimental group received explicit instruction in statistical analysis. Data were collected through pre-tests and post-tests to measure changes in students’ understanding of variable relationships. The results indicated a 25% improvement in the experimental group’s comprehension and reasoning ability compared to the control group. Students who applied statistical analysis demonstrated greater proficiency in interpreting data, identifying causal patterns, and connecting theoretical knowledge to experimental findings. In contrast, students taught through traditional narrative-based instruction showed minimal gains and relied heavily on memorization. The findings highlight the effectiveness of integrating statistical reasoning in promoting critical thinking, problem-solving, and scientific reasoning skills.

Cancer is a chronic disease that not only affects physical conditions but also imposes a significant psychological burden on both cancer patients and cancer survivors. Various mental health problems, such as anxiety, depression, stress, and psychological distress, are frequently experienced throughout the processes of diagnosis, treatment, and the survivorship phase. One psychological intervention that has developed and been widely studied is expressive writing, which allows individuals to freely express their thoughts and emotions through writing. This study aims to examine the effectiveness of expressive writing interventions on the mental health of cancer patients and cancer survivors using a literature review method. The article search process was conducted in international databases (ScienceDirect, PubMed, and SpringerLink) and a national database (Garuda), covering publications from 2020 to 2025. Article selection was carried out using PRISMA guidelines, and methodological quality assessment was conducted using the Critical Appraisal tools from the Joanna Briggs Institute (JBI). Based on the selection results, nine articles met the eligibility criteria for analysis. The review findings indicate that most studies report positive effects of expressive writing in reducing anxiety, depression, stress, and psychological distress, as well as improving quality of life, positive affect, self-efficacy, and posttraumatic growth. However, the effectiveness of this intervention varies depending on individual characteristics, clinical context, writing structure and focus, intervention duration, and cultural appropriateness. Therefore, expressive writing has the potential to serve as an effective, flexible, and low-cost supportive intervention in cancer care, particularly when it is designed contextually and adaptively in accordance with patients’ psychological needs.

The purpose of this study was to analyze the effect of mental workload on employee performance, the effect of work stress on employee performance, the work environment on employee performance and to analyze the effect of mental workload, work stress, and work environment simultaneously on the performance of employees of PT. Nutrisius Sari Persada. This research design uses quantitative methods with an associative approach and data collection techniques of library research and field research. Data analysis techniques using descriptive statistical analysis techniques using data processing tools Structural Equation Modeling (SEM) with SmartPLS software by testing mental workload variables (X1), work stress (X2), work environment (X3) and employee performance (Y). The results of this study indicate that the mental workload variable (X1) on employee performance (Y) has a T-test value of (2.013> 1.96) and P values of (0.045 < 0.05), the work stress variable (X2) has a T-test value of (10.237> 1.96) and P values of (0, 000 < 0.05), the work environment variable (X3) has a T-test value of (2.013> 1.96) and P values of (0.045 < 0.05), so it can be concluded that the mental workload variable (X1), work stress (X2) and the work environment (X3) have an influence on employee performance (Y). While simultaneously mental workload (X1), work stress (X2) and work environment (X3) variables on employee performance (Y). The results of the analysis of the coefficient of determination (R2) obtained a value (Adjusted Rsquare) of 0.973, meaning that all independent variables are declared strong with a value of 97% and the remaining 3% is influenced by other variables outside the Mental Workload, Work Stress and Work Environment variables.