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This study aims to analyze and synthesize research findings related to the integration of Buddhist values in the development of interactive learning media. The research employed a qualitative approach using a systematic literature review method on fifty selected articles published between 2018 and 2025. Data were collected through a structured process of identification, screening, and extraction from primary sources consisting of accredited national journals and reputable international journals. The data were analyzed using thematic and comparative synthesis techniques to identify patterns, effectiveness, and research gaps. The results show that interactive learning media based on Buddhist values can enhance students’ motivation, moral understanding, and engagement through the use of technologies such as gamification, educational animation, augmented reality, and mobile applications. The effectiveness of these media is strongly influenced by the alignment between Buddhist ethical principles, instructional design, and the cultural context of learning. Furthermore, the study reveals that the successful integration of spiritual values into digital media depends on educators’ readiness, digital literacy, and technological infrastructure support.

This study is intended to identify the impact of Online Customer Reviews and Product Quality Perceptions on Skintific Purchase Decisions on TikTok Shop. This study applies a quantitative approach through causal methods. Involving 96 respondents who have purchased and used Skintific products on the platform. Data analysis was carried out through the stages of classical assumption tests (normality, multicollinearity, and heteroscedasticity), and used multiple linear regression to test the research hypothesis. The findings show that online customer reviews and product quality perceptions have a positive and significant influence on purchase decisions, both when tested individually and together. The adjusted coefficient of determination (Adjusted R²) reaches 0.875, which means that 87.5% of the variation in purchase decisions can be explained by the two independent variables, while the remaining 12.5% is influenced by external elements outside of this model. Among the two variables studied, Online Customer Reviews were proven to have a dominant influence on Purchase Decisions, with a higher Beta value than Product Quality Perception. This conclusion emphasizes that positive reviews from customers and a good view of product quality are the main drivers for consumers to purchase Skintific products on TikTok Shop. Thus, companies are advised to maintain product reputation through consistent quality as well as optimize digital communication strategies based on customer reviews to improve consumer purchasing decisions.

This study aims to describe the application of deep learning based tolerance values with a pedagogical approach in supporting classroom management in grade VI of SDN Beji 01 East Ungaran. The deep learning approach is understood as a pedagogical strategy that emphasizes the cognitive, affective, and social engagement of students through meaningful learning experiences. This study uses a descriptive qualitative approach with data collection techniques in the form of semi-structured interviews, observations, and documentation. The research subjects include grade VI teachers, principals, and students with diverse social and cultural backgrounds. The results of the study show that the application of tolerance values through deep learning strategies is able to create an inclusive, safe, and conducive classroom climate. The implementation is reflected through the practice of random seating arrangements, a culture of sharing learning media, deliberation in conflict resolution, fair study timing, and strengthening mutual respect between students. These findings confirm that the integration of deep learning-based tolerance values contributes significantly to the effectiveness of classroom management and the strengthening of the social character of elementary school students.

This study examines the readiness of elementary school teachers to implement AI-based learning in the era of artificial intelligence, as technological advancements increasingly influence instructional practices in basic education. Despite the growing potential of artificial intelligence to support teaching and learning processes, empirical evidence regarding teachers’ preparedness at the elementary level remains limited. This study employed a descriptive quantitative research design involving 18 elementary school teachers. Data were collected using a structured questionnaire consisting of 15 Likert-scale items measuring technological skills, knowledge of artificial intelligence, attitudes toward AI, pedagogical readiness, and infrastructure support. Descriptive statistical analysis revealed that the overall mean score of teachers’ readiness was 4.08, indicating that teachers are generally ready to adopt AI-based learning. Technological skills emerged as the strongest aspect of readiness, reflecting teachers’ familiarity with digital tools and instructional technologies, while infrastructure and institutional support obtained the lowest mean score, highlighting challenges related to facilities, access to technology, and policy support. These findings suggest that although elementary school teachers demonstrate positive readiness and attitudes toward AI-based learning, effective and sustainable implementation requires strengthened institutional support, improved infrastructure, and continuous professional development to maximize the educational benefits of artificial intelligence in elementary education.

The advancement of technology and information, which coincides with digitalization alongside the development of Artificial Intelligence (AI), has colored human social life around the world. Currently, cadets of the Naval Academy often use gadgets/digital tools to access information or other media. With this, there are emerging threats that are very dangerous for individuals and the state. An currently prevalent case is Cyber Crime Identity Theft. Cyber crime identity theft refers to the crime of stealing someone's personal information online for the purpose of fraud or financial gain by stealing personal data such as names, identity numbers, and financial information, to carry out illegal transactions or obtain illegal benefits, which can lead to financial loss and damage the victim's reputation. Indonesia still has a very high number of cases of cyber crime identity theft, but it should be preventable by fostering. the cyber security awareness of cadets at the Naval Academy of the Indonesian National Armed Forces. The conclusion of this research is that by strengthening modern technological infrastructure, both equipment and administrative services, developing modern software and hardware with strong security systems, and tightening regulations regarding access to users' personal data in cyber services, supported by strengthening cyber security institutions, it can enhance the cyber security awareness of cadets at the Naval Academy of the Indonesian National Armed Forces.

This study aims to analyze the effect of workload and work stress on the performance of teachers at Madrasah Aliyah Negeri Tana Toraja. The study uses a quantitative approach with a population of 38 teachers, all of whom were selected as the sample using the total sampling technique. Data collection was carried out using questionnaires, and data analysis was performed using multiple linear regression assisted by SPSS version 26. The results show that workload has a significant positive effect on teacher performance, with a t-value of 2.081, which is greater than the t-table value of 2.030, indicating a significant positive relationship between the two. In addition, work stress also has a significant positive effect on teacher performance, with a t-value of 8.046, which is greater than the t-table value of 2.030. Simultaneously, both variables have a significant effect on teacher performance at Madrasah Aliyah Negeri Tana Toraja. In conclusion, an increase in workload and work stress, when managed properly, can improve teacher performance. Therefore, it is important for the school to pay attention to managing workload and work stress to optimize teacher performance.

The integration of Artificial Intelligence (AI) in higher education has led to the increasing use of AI-powered adaptive learning models that support personalized and data-driven learning. However, studies examining preservice teachers’ perceptions of these models remain limited, despite their important role in future classroom implementation. This study aims to explore preservice teachers’ perceptions of AI-powered adaptive learning in higher education, focusing on perceived usefulness, learning adaptivity, learning experience, and perceived concerns. A descriptive qualitative research design was employed involving 53 preservice teachers from various universities. Data were collected using a Likert-scale questionnaire and open-ended questions. Quantitative data were analyzed descriptively using percentage distributions, while qualitative data were examined through simple thematic analysis. The findings reveal that preservice teachers generally demonstrate positive perceptions of AIpowered adaptive learning, particularly in terms of learning effectiveness, adaptability, and engagement. Nevertheless, concerns related to over-reliance on AI, ethical issues, and data privacy were also identified. These results indicate that preservice teachers show readiness to engage with AI-supported learning, while highlighting the need for teacher education programs to promote responsible and pedagogically informed AI integration.

Background: Dietary adherence is a crucial component in the management of patients with chronic kidney disease (CKD) undergoing hemodialysis. Non-adherence may lead to metabolic imbalance, increased morbidity, and reduced quality of life.Objective: To identify factors associated with dietary non-adherence among patients with CKD undergoing hemodialysis at Imelda Hospital, Medan. Methods: A cross-sectional study was conducted among patients undergoing routine hemodialysis. Data were collected using structured questionnaires assessing knowledge, attitudes, and family support related to dietary adherence. Statistical analysis was performed using chi-square tests and logistic regression with a significance level of p < 0.05. Results: Knowledge, attitudes, and family support were significantly associated with dietary non-adherence (p < 0.05). Family support was identified as the most influential factor. Conclusion: Dietary non-adherence among hemodialysis patients is influenced by knowledge, attitudes, and family support. Strengthening patient education and family-centered nursing interventions is essential to improve dietary adherence.

This study aims to determine the extent to which motivation and work discipline affect employee productivity at CV. Langgeng Jaya. The study uses a quantitative descriptive approach with data collection techniques through distributing questionnaires. The study population includes all 80 employees of CV. Langgeng Jaya, with a sampling technique using Saturated Sampling. Data analysis was carried out through Multiple Linear Regression Tests and Hypothesis Tests with the help of the SPSS 27 program. The results of the study indicate that motivation has a significant influence on employee productivity partially, while work discipline does not have a significant influence. However, simultaneously, motivation and work discipline have been proven to have a significant influence on employee productivity. Therefore, CV. Langgeng Jaya is expected to prioritize increasing employee motivation through targeted programs and conducting evaluations and coaching on work discipline aspects, so that both factors can support each other in increasing overall productivity. This aims so that both factors can support each other in increasing overall employee productivity, creating a more productive work environment, and improving company performance in the long term.

The age of 4-6 years is an age that is vulnerable to disease because it is at this age that children's motoric starts to be active. Without realizing it, what children do is often close to germs that can cause diseases such as flu, cough, diarrhea. Hand washing is the process of mechanically removing dirt and dust from the skin surface and reducing the number of microorganisms. The purpose of hand washing is to eliminate the number of microorganisms. This activity is carried out through the means of joint learning activities in the form of face-to-face in groups, given counseling, including: material and practice of wet hand washing with running water and soap and dry hand washing with a hand sanitaizer. The results of this activity were analyzed using a fun learning method. The data used is numerical data from the observation of hand washing skills checklist. From the test results there is an effect of providing counseling on hand washing techniques on the hand washing skills of kindergarten students. The habit of washing hands using soap from an early age, it is hoped that later they will become a generation that is aware of the importance of cleanliness, not only personal hygiene, but also environmental hygiene. Not only that, with this simple thing that is done regularly and purposefully, children will later learn to do other habits correctly. One way to prevent children from getting sick is by washing hands. This handwashing habit should be instilled since.

This study examines the implementation of an Islamic Religious Education (PAI) learning model based on Project-Based Learning (PjBL) and collaborative approaches in shaping students’ noble character at SD Negeri Besuk Kidul, Besuk District. The study is grounded in the research gap that PAI learning in elementary schools is often still dominated by conventional, teacher-centered methods that emphasize cognitive achievement while providing limited space for the internalization of moral values through authentic learning experiences. This research aims to analyze how PjBL and collaborative learning are designed and implemented in PAI instruction and to explore their contribution to students’ character development. A qualitative approach with a descriptive case study design was employed. The research subjects included the school principal, a PAI teacher, and elementary school students. Data were collected through observation, in-depth interviews, and documentation, and analyzed using an interactive data analysis model. The findings reveal that the integration of project-based and collaborative learning in PAI instruction enhances students’ noble character, particularly in terms of honesty, discipline, responsibility, cooperation, respect, and social awareness. Students actively engage in learning activities, apply Islamic values in real-life contexts, and demonstrate positive behavioral changes both in and outside the classroom. These results indicate that Project-Based Learning and collaborative approaches constitute an effective and meaningful strategy for strengthening character education in PAI at the elementary school level.

Background: Early Breastfeeding Initiation (IMD) is the practice of allowing newborns to breastfeed within the first hour after birth. This practice is not only beneficial for establishing mother-infant bonding but also plays a crucial role in stimulating uterine contractions through the release of oxytocin, which can accelerate uterine involution in postpartum mothers. Uterine involution is an important physiological process that prevents postpartum hemorrhage and supports maternal recovery. Despite the known benefits, not all mothers practice IMD immediately after delivery, which may affect the process of uterine involution. Objective: This study aimed to analyze the relationship between Early Breastfeeding Initiation (IMD) and the incidence of uterine involution in postpartum mothers at the Benao Community Health Center Work Area. Methods: A quantitative, observational study with a cross-sectional design was conducted involving 30 postpartum mothers selected through purposive sampling. Data were collected on IMD practices and uterine involution assessments. The Wilcoxon signed-rank test was used to analyze the relationship between IMD and uterine involution. Results: The study found a significant relationship between IMD and uterine involution (p = 0.000). Mothers who practiced IMD within the first hour postpartum showed a faster and more effective uterine involution process compared to those who did not. Conclusion: Early Breastfeeding Initiation (IMD) is significantly associated with the incidence and speed of uterine involution in postpartum mothers. Promoting IMD immediately after birth is essential for supporting maternal recovery and preventing postpartum complications

This study analyzes the sociolinguistic phenomena of code-switching and code-mixing in the academic context of students in Pekalongan, Central Java. As a region with diverse backgrounds dominated by the Pekalongan dialect (Ngapak Javanese), interactions between students create space for complex language dynamics. This study aims to identify variations, roles, and factors that cause code-switching and code-mixing in student interactions. The method applied is descriptive qualitative with data collection through inactive participant observation, recording, and in-depth interviews at various universities in Pekalongan. Data analysis is carried out through the steps of data reduction, data presentation, and verification using triangulation techniques. The results show that the application of language codes is divided into two categories: an internal category that includes Indonesian and regional languages (Javanese), and an external category that includes foreign languages (English or Arabic). Code-mixing can be found at the word, phrase, and clause levels. The main factors that drive this phenomenon include participants, conversation themes, situational circumstances, and the purpose of communication in building solidarity among group members (ingroup).  The Pekalongan dialect plays a crucial role as a means of communication to build closeness and demonstrate local identity, amidst the need to use formal language on campus. This research concludes that code-switching and code-mixing are not merely linguistic phenomena, but also ways in which students adapt socially to balance their cultural identity with academic demands.  

In the current era of digital transformation, organizations are increasingly turning to Artificial Intelligence (AI) to enhance the precision and agility of managerial decisions. This study investigates how AI adoption within management accounting systems influences decision-making efficiency and managerial performance. Using survey data collected from managers and accountants in medium-to-large firms across Central Java, the research applies Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine the hypothesized relationships. The results reveal that AI adoption significantly improves decision-making efficiency, which in turn enhances managerial performance. Furthermore, leadership support strengthens the relationship between AI adoption and decision-making efficiency, indicating that human and organizational factors remain critical for realizing technological benefits. The findings contribute to management accounting literature by elucidating the mechanism through which AI technologies create managerial value specifically, by accelerating analytical processes and improving the quality of managerial judgments. Practically, the study suggests that firms should focus on leadership involvement, data governance, and employee training to ensure that AI systems complement, rather than replace, human judgment. Overall, this study highlights that successful AI adoption in management accounting is not merely a technical transition but a strategic and cultural evolution toward evidence-based decision-making.

This study analyzes the sociolinguistic phenomena of code-switching and code-mixing in the academic context of students in Pekalongan, Central Java. As a region with diverse backgrounds dominated by the Pekalongan dialect (Ngapak Javanese), interactions between students create space for complex language dynamics. This study aims to identify variations, roles, and factors that cause code-switching and code-mixing in student interactions. The method applied is descriptive qualitative with data collection through inactive participant observation, recording, and in-depth interviews at various universities in Pekalongan. Data analysis is carried out through the steps of data reduction, data presentation, and verification using triangulation techniques. The results show that the application of language codes is divided into two categories: an internal category that includes Indonesian and regional languages (Javanese), and an external category that includes foreign languages (English or Arabic). Code-mixing can be found at the word, phrase, and clause levels. The main factors that drive this phenomenon include participants, conversation themes, situational circumstances, and the purpose of communication in building solidarity among group members (ingroup).  The Pekalongan dialect plays a crucial role as a means of communication to build closeness and demonstrate local identity, amidst the need to use formal language on campus. This research concludes that code-switching and code-mixing are not merely linguistic phenomena, but also ways in which students adapt socially to balance their cultural identity with academic demands.  

The incidence of degenerative diseases, which are part of Non-Communicable Diseases (NCDs), remains a major cause of death worldwide and in many regions of Indonesia. Meanwhile, efforts to prevent degenerative diseases affecting the adolescent age group are still rare, such as the establishment of a Youth Posyandu, including in Sungai Duren Village. There is no health post that provides youth care services in Sungai Duren Village, while there are many teenagers living there (students under 21 years old) with various lifestyles that are at risk of degenerative diseases. This study aims to analyze the increase in adolescent knowledge about CERDIK between before and after the establishment of the Youth Posyandu in order to prevent degenerative diseases early. This study is a quasi-experimental study involving 30 adolescents by measuring the dependent variable of knowledge. The research instrument used is a questionnaire. Computerized data processing and analysis were conducted through descriptive statistical analysis and T-test analysis. The results showed a significant difference in respondents' knowledge of CERDIK before and after the establishment of the Youth Posyandu in Sungai Duren Village (p=0.000). This study indicates that structured health education can improve adolescents' understanding of CERDIK and can be used as an effective promotive and preventive strategy.

The Information System registration module for the Regional Taxpayer Identification Number (NPWPD) was developed using the Laravel framework and implemented by the Taxpayer Identification Agency (BPPKAD) at Kediri City. The system was designed to digitize the NPWPD registration process, which was previously done manually. This traditional approach often led to long queues, extended processing times, and, at times, errors in data entry. The new system offers several key advantages, including an online registration form that allows taxpayers to upload required documents such as photos of ID cards, business locations, and other necessary paperwork. Data validation is performed by officers to ensure accuracy, and automatic notifications are sent to taxpayers, informing them of the status of their applications. The implementation of this system has had several positive impacts, such as significantly improving the efficiency of administrative processes, reducing the manual workload for officers, and increasing transparency and accountability in public services. Moreover, it has improved customer satisfaction by providing faster, more accurate, and more responsive services. This system supports the creation of a streamlined, user-friendly, and effective method for taxpayers to register for NPWPD online, enhancing the overall quality of public sector service delivery.

The growth of online shopping has encouraged brands to utilize live-streaming as a promotional tool to attract consumers, including Parfumoist in Lampung, which actively broadcasts product demonstrations to increase audience engagement. However, whether these broadcasts truly build trust and stimulate purchase intention remains uncertain, forming the central problem of this research. The research tried to analyze the influence of interactivity, visualization, entertainment, and professionalization during live-streaming on consumer trust and purchase intention. Using Stimulus-Organism-Response framework, live-streaming elements are positioned as stimuli, trust as the organism, and purchase intention as the response. A quantitative approach was employed, with purposive sampling of viewers who watched Parfumoist live streams and had made or intended to make a purchase. Data from an online questionnaire then analyzed with SEM-PLS. The findings reveal all four dimensions of live-streaming significantly affect purchase intention, mediated through consumer trust. The findings highlight that effective live-streaming depends not only on frequent broadcasts, but also on the ability of the host to interact meaningfully, present attractive visuals, entertain viewers, and display professionalism. This study concludes that improving the overall quality of live-stream sessions strengthens trust and intention to buy, offering theoretical implications for digital marketing research and practical recommendations for MSMEs to optimize live-streaming strategies in competitive markets.

Nausea and vomiting are common symptoms experienced during early pregnancy, especially in the first trimester, and can adversely affect maternal comfort, nutritional intake, and overall well-being. In primary health care settings, these symptoms are often managed with pharmacological treatments; however, such approaches may raise concerns regarding safety, potential side effects, and accessibility for pregnant women. Therefore, there is increasing interest in non-pharmacological interventions that are safer and more practical. One alternative method is lemon aromatherapy (Citrus limon), which is believed to reduce nausea and vomiting by stimulating the olfactory system and promoting a relaxing effect. This study aimed to assess the effectiveness of lemon aromatherapy in decreasing the frequency of nausea and vomiting among first-trimester pregnant women diagnosed with emesis gravidarum at the Rum Balibunga Community Health Center. The research applied a pre-experimental design using a one-group pretest–posttest approach. A total of 30 pregnant women in their first trimester were selected through purposive sampling. The intervention involved inhalation of lemon aromatherapy over a specified duration. Data on the frequency of nausea and vomiting were collected before and after the intervention using a structured observation instrument. The data were analyzed using both descriptive and inferential statistics, with the Wilcoxon signed-rank test employed to determine differences between pre- and post-intervention results. The findings revealed a significant reduction in nausea and vomiting frequency after the intervention. Overall, lemon aromatherapy proved to be an effective, safe, and practical non-pharmacological option to support antenatal care services.

Background: Stunting remains a major public health concern in Indonesia, affecting children’s growth, development, and long-term health outcomes (Sari, 2020). Early childhood stunting can lead to cognitive delays, poor school performance, reduced productivity in adulthood, and increased risk of chronic diseases (Hapsari & Wulandari, 2019). Understanding the interaction of demographic, socioeconomic, and health-related factors is essential to reduce stunting prevalence and improve child health outcomes (Yuliani, 2019). Objective: This study aimed to analyze the factors influencing the incidence of stunting among children attending the Sagerat Public Health Center in Bitung City. Methods: A quantitative, observational study with a cross-sectional design was conducted. Thirty children were selected using purposive sampling based on inclusion criteria such as age under five years and available anthropometric data. The Wilcoxon signed-rank test was applied to examine the relationship between these factors and stunting incidence, with a significance level set at p < 0.05. Results: The analysis showed that 30 children (100%) in the study were at risk of stunting based on height-for-age measurements, with 20 children (90%) confirmed as stunted and 10 children (10%) having normal height. These results suggest that maternal education, socioeconomic status, nutrition, and access to healthcare are strongly associated with stunting in this population. Conclusion: Factors such as maternal education, socioeconomic status, dietary intake, and access to healthcare significantly influence the incidence of stunting among children at the Sagerat Public Health Center. Comprehensive community-based programs are recommended to reduce stunting prevalence and improve long-term health outcomes for children.