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Cracker drying process is considered inefficient because it still depends on weather factors and manual supervision, which can affect the quality of the production results. To overcome this, a smart shrimpcrackerdryingdevicebasedonan Arduino Uno microcontroller with an automatic closing mechanism and an automatic container has been designed and built. This system is equipped with a rain sensor and an LDR sensor to detect weather conditions around the device, as well as a DHT11 sensor to monitor humidity in the cracker storage container. In addition, an ultrasonic sensor is used to automatically regulate the movement of crackers into the storage container after the drying process is complete. A DC motor controlled by a BTS7960 driver functions to move the cover roof and the cracker transfer mechanism, while a limit switch is used to limit the motor movement.Based on the test results, this device can work automatically Shrimp crackers are one of the typical food products widely produced by the people of Bunga Karang Village, Tanjung Lago District, Banyuasin Regency. The traditional shrimp following changes in environmental conditions, thereby increasing the efficiency of the drying process and maintaining the quality of shrimp crackers produced by the residents of Bunga Karang Village.

This research is motivated by the persistent difficulty elementary school-aged children have in controlling their emotions and behavior in social situations, particularly within the context of church community development. The study aimed to examine the effect of Christian values-based emotion management training on improving children's self-control. The study used a quantitative approach with a quasi-experimental one-group pretest-posttest design on 30 children aged 7–12 years at the GPM Wonreli–Kisar Congregation. The intervention was implemented over four days through activities involving emotion recognition, value reflection, emotion regulation training, and social simulations. Data were collected using a self-control scale and analyzed using paired-difference tests and effect size calculations. The results showed a significant increase in self-control scores after the training, with the largest changes in rule compliance and impulse control, and a more moderate increase in resilience to frustration. The effect size indicates a strong practical impact of the changes. These findings indicate that training that integrates social experiences and value reflection can facilitate the shift in behavioral control from external control to internal awareness. Practically, this research provides a basis for developing a community-based child development program that emphasizes not only discipline but also the understanding of values ​​in character formation and self-regulation.

The rapid advancement of information technology has encouraged business actors to adopt digital transformation; this situation is also experienced by Pabrik Tahu Macanan, a small scale tofu factory in Magelang that still relies on manual systems in operation. This  study aims to analyze the implementation of management information systems in supporting digital transformation and risk management at Pabrik Tahu Macanan; a descriptive qualitative approach was applied, using interviews, observations, and documentation as date collection methods. The findings reveal that digital information systems have the potential to improve efficiency, recording accuracy, and internal control; however, their implementation remains limited due to human resource constraints and low adaptability to new technologies. The research also found that simple risk management practices such as regular machine maintenance and manual bookkeeping remain effective in maintaining business stability. The implication of this study indicates that a gradual implementation of digital based information systems, supported by training and supervision, can serve as a strategic step to enhance competitiveness, operational efficiency, and sustainability for traditional SMEs like Pabrik Tahu Macanan.

Hypertension remains a significant public health problem in Indonesia, including in the Parang Banoa neighborhood, Pallangga District, Gowa Regency. Therefore, this Field Learning Experience (PBL) activity was implemented with the aim of increasing community knowledge about hypertension, particularly regarding its prevention and control. The activity was carried out through several stages, including health education, questionnaires, and blood pressure checks for residents of RT 002 in the Parang Banoa neighborhood. The interventions provided included health education, distribution of educational posters, and blood pressure checks for 11 respondents. Results showed an increase in community knowledge after the intervention. Prior to the education, most respondents had sufficient knowledge (81.8%), with a small proportion having insufficient knowledge (18.2%). However, after the education, all respondents (100%) experienced an increase in knowledge regarding hypertension prevention and control. Therefore, ongoing health education and healthy lifestyle changes, such as reducing salt intake, quitting smoking, and regular exercise, are needed. These efforts are expected to reduce the incidence of hypertension in the Parang Banoa neighborhood and improve overall community health.

Continuous chemical control of rat pests (Rattus spp.) can sometimes lead to resistance and resurgence problems, and even some cases of inaccurate targeting ultimately killing livestock. The idea of ​​​​repelling rats in rice fields using vibrations of crickets and other natural animals transmitted via radio has been done and the results are quite optimal for rat control, but it has not been done in corn cultivation. The purpose of this study was to determine the effect of cat sound audio on the intensity of rat pest attacks (Rattus spp.) in corn (Zea mays L.) plantations. The research location was in a farmer's land owned by a farmer in Dagan Village, Solokuro District, Lamongan Regency. Observations were carried out on two corn fields, each measuring 1400 m2 with a distance of 1 meter between the two fields. Determination of sampling points using the diagonal method, each into 5 sub-observation plots. In each sub-plot, markers were placed as sampling points. Audio with cat and bird sounds was played continuously from 05.00 pm - 07.00 am. Observations were conducted at 7:00 a.m. at all sampling points at 30 and 60 days after planting. Observations were conducted for three days using audio and three days without audio. Damage symptoms were observed directly at each sampling point. Corn plants showing symptoms were then recorded and analyzed using the Damage Intensity formula. Observations showed that the use of cat sound audio was able to reduce the level of rat infestation. At 30 days after planting, the damage percentage was reduced by 8.33%. Meanwhile, at 60 days after planting, the damage percentage was reduced by 18.33%.

Financial management, both in public and private organizations, is highly vulnerable to fraud and misappropriation of funds. The risk of fraud in financial reporting not only jeopardizes an organization's long-term financial health but also damages the reputation and trust of stakeholders. Professional ethics and integrity are key factors in ensuring good, efficient, and effective financial governance. Weak internalization of professional ethical values ​​among financial practitioners, such as manipulation of financial reports and unauthorized use of official funds, is often a major cause of misappropriation of funds. These cases can significantly harm an organization, as seen in violations of codes of ethics in various large companies. Therefore, strengthening professional ethics in financial management practices is crucial to prevent misappropriation of funds, fraud, or financial manipulation. A strong internal control system, coupled with a good ethical culture, can play a significant role in preventing and detecting these conditions. This study aims to identify factors that support and hinder the implementation of professional ethics in financial management and provide recommendations for improving integrity and accountability in fund management. It is hoped that the results of this study will help organizations strengthen governance, increase transparency, and reduce the risk of fraud through better implementation of professional ethics.

This study aims to analyze the effect of the implementation of the Intelligent Tutoring Sistem (ITS) based on Artificial Intelligence (AI) on improving the understanding of mathematical concepts, especially in fractional and basic geometry materials, in Class V students of SD Negeri 2 Badran, Temanggung Regency. The research method used was a quasiexperimental experiment with a Non-equivalent Control Group Design. The research sample consisted of 48 students who were divided into two groups, namely the experimental group (n=24) who received learning with the help of AI-based ITS, and the control group (n=24) who received conventional learning with lecture methods and practice questions. The research instrument is in the form of a test of understanding of mathematical concepts that has been validated by experts and tested for reliability. Data were analyzed using parametric statistical tests of the Independent Sample t-test and N-Gain Score to measure the improvement. The results showed that there was a significant difference in understanding of mathematical concepts between the experimental group and the control group. The average post-test score of the experimental group (82.45) was significantly higher than that of the control group (70.12) with a p< value of 0.05. N-Gain analysis showed that the improvement in conceptual understanding in the experimental group was in the "moderate" category (g=0.56), while the control group was in the "low" category (g=0.32). These findings indicate that AI-based ITS is effective in improving students' understanding of mathematical concepts. The advantages of the system lie in its ability to provide instant feedback, personalize materials according to learning pace, and present interactive materials, thus helping to better construct students' conceptual understanding. It is recommended that schools consider the integration of ITS technology as a supplementary tool in mathematics learning at the elementary level.

Smoking behavior among adolescents remains a major public health issue due to its high prevalence and potential long-term effects on physical, psychological, and social health. One key factor influencing adolescent behavior is the family environment. A family approach that incorporates effective communication, parental supervision, role modeling, emotional support, and consistent enforcement of rules is believed to significantly impact the prevention and reduction of smoking behavior in adolescents. This study aims to analyze the effect of a family approach on smoking behavior in adolescents. Adolescents who experience open communication, good supervision, and emotional support from their families tend to exhibit stronger self-control and are more likely to resist peer pressure to smoke. The findings suggest that an optimal family approach is crucial in shaping healthy behavior in adolescents and serves as an effective strategy in smoking prevention efforts. This approach not only helps in reducing smoking behavior but also fosters overall well-being by creating a supportive family environment. In conclusion, family involvement plays an essential role in promoting healthier behaviors in adolescents and preventing smoking, contributing significantly to public health improvement

The rapid development of modern manufacturing technology has driven the emergence of human-robot collaboration (HRC) as part of the transformation toward a human-centric intelligent production system. In collaborative work environments, robots are not only required to work efficiently but also to interact safely and responsively with operators. However, most conventional industrial robot systems still use rigid motion controls and are unable to dynamically adapt to human activity around them.This research aims to develop a human-robot collaboration system by integrating computer vision technology to detect operator movement and applying adaptive control algorithms to the robot manipulator. The research methodology includes designing a collaborative workstation, implementing a computer vision-based motion detection system, developing an adaptive control algorithm, and evaluating system performance through various experimental scenarios. Evaluation parameters include task completion time, safe distance, and system response time.The results show that the developed system significantly improves the efficiency and safety of human-robot interaction compared to conventional systems, with shorter task times, optimal safe distances, and faster system response to operator movements.

Diabetes mellitus is a metabolic disorder characterized by chronic hyperglycemia which can lead to serious complications if not properly managed. This community service activity aimed to increase public knowledge regarding diabetes mellitus and its prevention among residents of Rejomulyo Village, Jati Agung District, South Lampung. The method used was health education through lectures supported by leaflets and blood glucose screening, followed by evaluation using pre-test and post-test. A total of 25 community members participated in this activity. The results showed a significant improvement in participants’ knowledge after the educational intervention. Pre-test results indicated limited understanding of blood glucose control and dietary management, while post-test results showed increased knowledge levels in both aspects. This activity demonstrates that health education is effective in improving community awareness and knowledge regarding diabetes mellitus prevention and management. This educational program is effective in increasing the knowledge of the people of Rejomulyo Village, Jati Agung District, South Lampung Regency regarding diabetes mellitus.

This quasi-experimental study examines the effectiveness of Artificial Intelligence (AI)-assisted learning in enhancing critical thinking skills among undergraduate history students. The study involved 60 students divided into experimental and control groups. The experimental group received AI-supported instruction integrating adaptive learning modules, scaffolded source-analysis prompts, and guided argumentative discussions facilitated by conversational AI tools, while the control group followed conventional lecture-based instruction. Data were collected using a validated critical thinking test, classroom observation protocols, and semi-structured interviews. Quantitative data were analyzed using paired and independent sample t-tests, while qualitative data were examined through Miles and Huberman’s interactive analysis model. Results indicate statistically significant improvements in critical thinking scores in the experimental group compared to the control group. Thematic findings reveal enhanced sourcing, contextualization, corroboration, and evidence-based argumentation skills. However, minor risks of over-reliance on AI highlight the need for instructional scaffolding and ethical guidance. The findings suggest that AI can function as a cognitive scaffold that strengthens historical thinking and metacognitive awareness when implemented within a structured pedagogical framework.

This study focuses on the analysis of traffic density in Jember City, particularly at the Wirolegi Intersection, which is known to have a high density level. This condition often triggers congestion that hinders public mobility, so that appropriate and data-based handling efforts are needed. The purpose of this study is to identify and analyze the level of density at critical congestion points through a statistical approach using the One Way ANOVA method. The research method used is quantitative descriptive with a descriptive observational approach. Primary data was collected directly through a field survey in 2025 at the Wirolegi Intersection as one of 3 intersections in Jember City. The data obtained were then processed using normality tests, homogeneity tests, and One Way ANOVA with the help of SPSS software. The results of the analysis show that the traffic flow density on the three routes studied, namely Jalan Gunung Haryono, Jalan Brigjen Katamso, Jalan Yos Sudarso, does not show a significant difference. The significance value of the ANOVA test is greater than 0.05 which indicates the similarity of density levels between routes. Further testing (post hoc testing) also strengthens this finding. The conclusion of this study shows that handling congestion at the Wirolegi Intersection needs to be done comprehensively through traffic control and evaluation of the transportation system to improve smoothness and mobility in Jember City.

Anxiety is a common psychological response experienced by contraceptive users, particularly among implant acceptors. Feelings of anxiety may arise due to hormonal changes, fear of side effects, and unpleasant experiences during contraceptive insertion. Aromatherapy using lavender essential oil has been shown to produce a calming effect through the activation of the limbic system and regulation of neurotransmitters, making it a potential method for reducing anxiety. This study aimed to determine the effect of lavender essential oil therapy on reducing anxiety among contraceptive implant acceptors at Tiley Health Center. A quasi-experimental design with a pretest-posttest control group approach was employed. A total of 30 respondents were randomly divided into treatment and control groups. The treatment group received inhalation of lavender essential oil for 10 minutes daily over three consecutive days, while the control group received no intervention. Anxiety levels were measured using the Hamilton Anxiety Rating Scale (HARS). The results indicated a significant reduction in anxiety scores in the treatment group before and after the intervention (p < 0.001), while the control group showed no meaningful difference (p > 0.05). These findings demonstrate that lavender essential oil aromatherapy is effective in reducing anxiety among implant contraceptive acceptors. This non-pharmacological therapy can be recommended as an easy, affordable, and safe complementary intervention in midwifery care services.

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.  

Low student achievement in mathematics, particularly in arithmetic sequences and series, has led to decreased learning motivation and participation. Therefore, innovative and engaging instructional strategies are required, one of which is the implementation of ice-breaking activities to reduce boredom and enhance students’ learning engagement. This study aimed to examine the effect of implementing ice breaking on the mathematics learning outcomes of tenth-grade students at SMK Kesehatan Samarinda in the topic of arithmetic sequences and series. This research employed an experimental method using a quasi-experimental design, involving two groups: an experimental group that received instruction incorporating ice breaking and a control group that did not receive such treatment. The total sample consisted of 60 students selected through purposive sampling. The research instrument was a learning achievement test administered as a pretest and posttest. Data were analyzed using a paired sample t-test to determine differences in learning outcomes between the two groups. The results revealed a significance value of 0.000 (< 0.05), indicating a significant difference in learning outcomes between the experimental and control groups. Therefore, it can be concluded that the implementation of ice breaking has a significant effect on improving students’ mathematics learning outcomes. This strategy creates a more active, interactive, and enjoyable learning environment, thereby facilitating students’ understanding of mathematical concepts, particularly arithmetic sequences and series.

“Hallyu” (the Korean Wave) refers to the popularity of everything originating from Korea. Aims to examine the description of students’ K-Pop celebrity worship behavior before and after receiving group counseling with the Cognitive Restructuring technique, analyze the differences in students’ behavior, and test the effect of the counseling on reducing celebrity worship tendencies. The findings are expected to provide theoretical contributions to the field of guidance and counseling, particularly regarding the application of Cognitive Restructuring to mitigate obsessive behaviors, as well as practical benefits for school counselors and institutions in helping students reduce celebrity worship tendencies so they can remain focused on academic and social development. The research employed an experimental method with a One-Group Pretest–Posttest design. The subjects consisted of eight tenth-grade students at SMK Negeri 1 Kuantan Mudik who were identified as having a high level of K-Pop celebrity worship. The instrument used was a 19-item K-Pop celebrity worship scale that had been tested for validity and reliability. Data were analyzed using the Wilcoxon test and N-Gain calculations to determine treatment effectiveness. The results showed that prior to receiving group counseling with Cognitive Restructuring techniques, most students were categorized as having high or moderate levels of celebrity worship. After the intervention, all students experienced a decrease in celebrity worship behavior, falling into the low category. This demonstrates that group counseling using Cognitive Restructuring is effective in helping students shift irrational thinking patterns toward more rational ones, enabling them to control excessive celebrity worship behavior.  

This study aims to examine the relationship between Corporate Social Responsibility (CSR) disclosure and profitability with firm value. The research was conducted on companies in the oil, gas, and coal sub-sector listed on the Indonesia Stock Exchange (IDX) during the 2021–2024 period. The independent variables in this study are corporate social responsibility disclosure and profitability, while firm size is employed as a control variable. Firm value is proxied by Price to Book Value (PBV), whereas profitability is measured using Return on Equity (ROE). This study is grounded in Stakeholder Theory and Signaling Theory to explain the relationships among the variables. The sample was determined using purposive sampling, resulting in 29 companies. The data analysis techniques applied include Pearson correlation analysis and multiple linear regression to examine both the simple relationships and the effects of corporate social responsibility disclosure and profitability on firm value. The results indicate that corporate social responsibility disclosure has a negative relationship with firm value, while profitability shows a positive and significant relationship with firm value.

The Regional Regulation Formation Agency (Bapemperda) is a legislative body under the Regional People's Representative Council (DPRD) that plays a key role in the creation of regional regulations. This study analyzes the function of the Bapemperda of the West Java Provincial DPRD in 2025 throughout the entire regulation formation process using a qualitative approach. The results show that Bapemperda carries out strategic tasks including the preparation of Propemperda (Regional Regulation Proposals), coordination and harmonization of Draft Regional Regulations (Raperda), monitoring discussions, and evaluating the content of the material. In 2025, Bapemperda established 10 Draft Regional Regulations (Raperda) (3 proposed by the DPRD and 7 proposed by the Governor). Bapemperda functions as a bridge for political communication and quality control of regional regulations. Its effectiveness is influenced by coordination, member professionalism, and consistent application of regulatory principles. Challenges faced include time constraints, complexity of substance, and political dynamics. The study recommends strengthening institutional capacity and optimizing the documentation system to support good governance.

This study examines the effectiveness of national legislative strategies in promoting corporate accountability for industrial pollution and social justice violations. It analyzes a comparative legal framework, focusing on laws, enforcement mechanisms, and corporate liability regimes in countries such as France, Germany, Norway, China, and Australia. The research evaluates how mandatory due diligence laws, judicial measures, and transparency mechanisms help hold corporations accountable for environmental impacts. It compares voluntary compliance models with mandatory legal frameworks, noting the limitations of voluntary agreements in driving substantial environmental changes. Findings show that countries with strong legal frameworks, like the EU and Australia, achieve higher corporate compliance and environmental performance, while voluntary measures struggle to produce meaningful results. The study emphasizes the need for stronger enforcement, higher penalties for violations, and enhanced public transparency. Additionally, it explores integrating environmental justice considerations, such as community participation and fair compensation, into national strategies. The study offers policy recommendations for improving corporate responsibility through better legislation, harmonizing laws across jurisdictions, and fostering collaboration among governments, corporations, and civil society. It also suggests future research directions, including examining the long-term impacts of environmental justice policies in different global contexts.

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.