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Introduction: Achieving carbon neutrality in industrial systems is essential for mitigating climate change and promoting sustainability. The increasing demand for energy optimization and carbon emission reduction has driven the development of advanced technologies, particularly hybrid machine learning (ML) models. These models, combining ensemble learning and reinforcement learning (RL), offer significant promise in optimizing industrial processes, reducing energy consumption, and improving environmental performance. This study explores the application of hybrid ML models in achieving carbon neutral goals through dynamic process optimization and energy control in industrial settings. Literature Review: Hybrid ML models integrate different machine learning techniques to handle complex and dynamic environments effectively. Ensemble learning methods, such as boosting, bagging, and stacking, combine multiple algorithms to improve predictive performance and robustness. Reinforcement learning (RL), on the other hand, enables real time decision making and adaptation based on trial and error interactions with the environment. In energy optimization, these models are used to reduce energy intensity and carbon emissions, enhancing overall operational efficiency. Previous studies have demonstrated the effectiveness of ML models in energy management, but challenges such as data quality, model integration, and computational complexity remain. Materials and Method: The study applies hybrid ML models combining ensemble learning and RL to optimize energy consumption and minimize carbon emissions in industrial processes. Data from real time sensors and operational parameters are used to train the models. The ensemble learning component improves the accuracy of energy predictions, while RL ensures dynamic process adjustments in response to fluctuating energy demand. The models were tested in various industrial settings, including manufacturing processes, smart grids, and microgrid systems. Performance metrics such as energy efficiency, carbon emissions reduction, and operational costs were evaluated to assess the effectiveness of the models.  Results and Discussion: The hybrid ML models achieved significant reductions in energy intensity (15-20%) and carbon emissions (18-25%). The real time adaptability of the RL component allowed the models to adjust energy consumption patterns dynamically, improving energy efficiency and reducing waste. The models demonstrated their ability to adapt to varying operational conditions, ensuring optimal energy use. A cost-benefit analysis showed that the hybrid models provided substantial energy savings and reduced operational costs, with a return on investment (ROI) of 30-35% within the first year of deployment. However, challenges such as computational complexity and data quality issues were identified, highlighting the need for further refinement in model development.

Based on WHO data, cases of dyspepsia in the world reach 13-40% of the total population each year. Dyspepsia is one type of non-communicable disease that occurs not only in Indonesia, but also in the world. Irregular eating patterns, consumption of certain types of food such as sour, spicy and irritating foods are some of the factors that cause dyspepsia. To determine the relationship between dietary patterns and dyspepsia in female adolescents at the Hidayatullah Tanjung Morawa Islamic Boarding School in 2023. This study uses an analytical observational method with a cross-sectional approach, data collection using questionnaires and interviews. Data analysis using univariate tests and bivariate tests using the chi-square test. The majority of respondents were aged <16 years (70.3%). The incidence of dyspepsia was 70.3% or 45 respondents, of which 25 people (39.1%) had poor diet. Of the 29.7% of respondents who did not experience dyspepsia, 13 people (20.3%) had good diet. The majority of respondents often consumed spicy foods (67.1%) but rarely consumed sour foods (56.2%) and irritative foods (65.6%). The bivariate results between the relationship between diet and dyspepsia, spicy foods and dyspepsia, sour foods and dyspepsia, and irritative foods and dyspepsia were p-values ​​of 0.037, 0.041, 0.013, 0.526, respectively. There is a relationship between dietary patterns, types of sour and spicy foods with the incidence of dyspepsia, but there is no statistically significant relationship between the types of irritating foods and the incidence of dyspepsia in female adolescents at the Hidayatullah Tanjung Morawa Islamic Boarding School.

This study aims to determine the types of fish caught by the local community of Es Wambi village and how the local community of Es Wambi village utilizes the fish caught. The study was conducted from May to July 2024, in Es Wambi village, Okaba District, Merauke Regency. The sampling technique used in this study was non-probability sampling. Data collection techniques used observation, interview, and questionnaire techniques. The results of the study found that the types of fish caught by the local community consisted of 11 types from sea waters and 4 types from fresh waters. Types of fish from sea waters are; stingray (Dasyatis sp), ribbonfish (Trisiulus savala), kuro fish (Eleutheronema tetradactylum), bulanak fish (Mugil chepalus), gulama fish (Jhonius sp), snapper (Lates calcarifer), glass fish (Kurtus guliferi), bambit fish (Selenotoca sp), thorn fish (Chinetodus sp), julung-julung fish (Strongylura-strongylura) and tongue fish (Cynoglassus lingua). Meanwhile, the fish caught from fresh waters are; tilapia (Oreochromis mossambicus), betik fish (Anabas Testudineus), snakehead fish (Chana striata) and tilapia (Oreochromis niloticus). The utilization of fish caught by local people based on observation results is grouped into 3 parts, namely used as consumption fish, sold fresh and processed into salted fish.  

Typhoid fever is an acute infectious disease caused by Salmonella typhi bacteria, and is generally spread through contaminated food or drinks. One of the effective prevention efforts is to maintain personal hygiene, especially washing your hands before eating. This study aims to determine the relationship between handwashing compliance with the incidence of typhoid fever in children treated at PKU Muhammadiyah Delanggu Hospital. The research design used is observational analysis with a quantitative approach. The sampling technique was carried out by accidental sampling with a total of 34 children. Data were collected through questionnaires that measured the level of handwashing compliance and the history of typhoid fever incidence. The analysis of the relationship between variables was carried out using the Chi Square statistical test. The results showed that as many as 20 children (58.82%) had good handwashing compliance, with an average compliance score of 7.79 ± 1.666. Meanwhile, as many as 18 children (52.94%) were recorded to have typhoid fever. The results of the Chi Square test showed a p-value of 0.681, which means that there was no significant association between handwashing compliance and the incidence of typhoid fever in children at the study site. The conclusion of this study is that handwashing compliance has not shown a significant relationship with the incidence of typhoid fever in children at PKU Muhammadiyah Delanggu Hospital. These findings indicate the need for further studies by considering other factors such as water quality, environmental sanitation, and food consumption habits, in order to gain a more comprehensive understanding of the prevention of typhoid fever in children.

This research is titled Factors Influencing the Consumption Behavior of Palm Oil Farmers in Bulian Baru Village, Batin XXIV Subdistrict, Batanghari Regency. The objectives of this study are: (1) To explain the partial influence of Cultural Factors, Social Factors, and Personal Factors on the consumption behavior of palm oil farmers in Bulian Baru Village, Batin XXIV Subdistrict, Batanghari Regency; and (2) To explain the simultaneous influence of Cultural Factors, Social Factors, and Personal Factors on the consumption behavior of palm oil farmers in the same area. The research method used is a quantitative approach. The results of this study are: (1) Based on the regression test, it was found that partially, Cultural Factors have a significant influence on the consumption behavior of palm oil farmers in Bulian Baru Village, Batin XXIV Subdistrict, Batanghari Regency. Social Factors, on the other hand, do not have a significant partial effect, while Personal Factors do significantly influence consumption behavior in the same area. (2) Simultaneously, Cultural Factors, Social Factors, and Personal Factors have a significant influence on the consumption behavior of palm oil farmers in Bulian Baru Village, Batin XXIV Subdistrict, Batanghari Regency.

The halal industry has experienced significant growth, encouraging Micro, Small, and Medium Enterprises (MSMEs) to continuously innovate in order to compete globally. This study aims to examine the strategies of halal product innovation implemented by MSMEs from the perspective of islamic business management, identify the key driving factors behind innovation in the global market, and analyze its influence on Muslim consumers preferences. This research adopts a literature review methode using various scholarly journals and academic sources. The findings show that effective innovation strategies include collaboration between the government and industry, improvement of ptoduct quality and halal certification, digital technology utilization, and marketing approaches aligned with Islamic pronciples. The main drivees of innovation consist of product and process development, technology and digitalization, the high consumption value of halal products among indonesian consumers a, comprehensive legal framework, import substitution policies, and stakeholder synergy. Halal product innovation has proven to positively influence Muslim consumers preferences, particularly in terms of trust, loyalty, and perceived value. This study highlights that Islamic business management, which emphasizes blessing, ethicts, and sustainability, plays a crucial role in strengthening the global competitiveness of halal MSMEs.

Al-Ghazali's economic thought emphasizes balance in consumption and the importance of avoiding wastefulness and excess. However, in this digital era impulsive buying is increasingly prevalent, including among Muslims. This research is motivated by the behavior of Muslim consumers who tend to be more concerned with satisfaction than needs. The method used is qualitative research with a case study approach, to analyze the application of Al-Ghazali's economic thought in consumption theory. This research method is designed to provide a comprehensive and in-depth understanding of the application of Al-Ghazali's economic thought in the concept of consumption, especially the phenomenon of impulsive buying among Muslims in the digital era. The results show that the phenomenon of impulsive buying is increasingly widespread, triggered by easy access to information and products through digital platforms, as well as the influence of social media. This is often contrary to the principles of consumption taught by Al-Ghazali, who emphasized the importance of simplicity and moderation. This study recommends the need for awareness and education on consumption ethics in Islam to help avoid excessive consumption behavior and prioritize spiritual values in every act of consumption.

The increase in the PPnBM rate to 12% in Law 7/2021 on Luxury Goods is a fiscal reform strategy to increase state revenue and control the consumption of luxury goods. This policy aims to broaden the tax base and reduce socio-economic inequality. From a legal perspective, its implementation must uphold the principles of justice, legal certainty, and protection of taxpayer rights. Clear derivative regulations, transparent implementation, and strict supervision are needed to prevent abuse. This paper analyzes the policy through normative and conceptual approaches of tax administration law and fiscal economics.

Anemia is one of the public health problems experienced by many pregnant women in Indonesia, including in Aceh Province. One of the efforts to prevent anemia is by consuming iron tablets (TTD) regularly. This study aims to determine the relationship between the level of education and knowledge of mothers about anemia with the regularity of blood tablet consumption. This study used a quantitative approach with a cross-sectional design. The study sample consisted of 100 pregnant women in the Penanggalan Health Center working area, selected through purposive sampling technique. Data were collected using a structured questionnaire and analyzed using the Chi-Square test. The results showed a significant relationship between the level of education (p = 0.032) and knowledge about anemia (p = 0.005) with the regularity of blood tablet consumption. Mothers with higher education and good knowledge tend to be more regular in consuming blood tablets. Improvement of health education is needed through routine counseling to increase mothers' awareness of the importance of preventing anemia during pregnancy.

This study was conducted to evaluate the effectiveness of psychoeducation and token economy methods to reduce excess sugar consumption in individuals. This research method uses a one group pretest-posttest experimental design. The intervention included psychoeducation to increase understanding of the dangers of excessive sugar consumption and token economy to modify the subject’s behavior. Based on the experiment, result showed that psychoeducation significantly improved subjects’ understanding of the dangers of excessive sugar consumption (p=0.011). However, the token economy did not show significant changes in sugar consumption (p=0.655). These findings suggest the need for a longer and more sustained intervention approach. This study provides guidance on the development of psychology based health strategies to support long-term behavior change.

Automatic Identification System (AIS) is a communication technology that plays an important role in improving operational safety and efficiency in the shipping industry. AIS allows ships to exchange real-time data on identity, position, speed, and direction, which helps prevent collisions and facilitates maritime traffic management by port authorities. In addition, AIS functions in search and rescue operations by providing accurate information on the location of ships in trouble. In terms of security, AIS allows monitoring of suspicious ships, thus helping in preventing illegal activities in the waters. This study aims to design and develop a prototype AIS receiver based on LoRa, Arduino, and LCD HMI. The LoRa module was chosen because of its ability to transmit data over long distances with low power consumption, which is suitable for the maritime environment. Arduino is used as the main microcontroller to control the system, while the LCD HMI serves as the display interface for the received data. After the hardware and software design was completed, the system was tested through functional testing and performance measurements using a spectrum analyzer to evaluate the strength of the LoRa signal at various distances. The test results show that the AIS receiver is able to receive data well up to 15 meters on land and 13 meters at sea, with a delay of 100 milliseconds. System performance degrades at longer distances due to environmental interference and signal attenuation. These findings provide insight into the effective limits of LoRa communication in maritime applications and can be used as a reference for frequency testing and optimization of LoRa-based long-range communication systems.

This study aims to analyze the legal implications of the luxury goods Value Added Tax (VAT) increase policy in Indonesia, which will take effect in January 2025. This policy is based on Law Number 7 of 2021 on the Harmonization of Tax Regulations and its derivative regulations, with the objective of increasing state revenue and reducing the consumption of luxury goods, which is often associated with economic inequality. This research employs a normative method with a literature study approach, analyzing tax regulations, academic journals, and relevant literature. The findings indicate that while this policy may enhance tax revenue and reduce economic disparity, its implementation faces challenges related to legal certainty, tax compliance, and its impact on consumer purchasing power and investment in the luxury goods sector. Additionally, the potential rise in tax disputes due to differing interpretations of luxury goods classification is a major concern. Therefore, clear regulations, a more transparent tax administration mechanism, and economic impact mitigation strategies are necessary to ensure the effectiveness and fairness of this policy implementation.This study aims to analyze the legal implications of the luxury goods Value Added Tax (VAT) increase policy in Indonesia, which will take effect in January 2025. This policy is based on Law Number 7 of 2021 on the Harmonization of Tax Regulations and its derivative regulations, with the objective of increasing state revenue and reducing the consumption of luxury goods, which is often associated with economic inequality. This research employs a normative method with a literature study approach, analyzing tax regulations, academic journals, and relevant literature. The findings indicate that while this policy may enhance tax revenue and reduce economic disparity, its implementation faces challenges related to legal certainty, tax compliance, and its impact on consumer purchasing power and investment in the luxury goods sector. Additionally, the potential rise in tax disputes due to differing interpretations of luxury goods classification is a major concern. Therefore, clear regulations, a more transparent tax administration mechanism, and economic impact mitigation strategies are necessary to ensure the effectiveness and fairness of this policy implementation.

Background: Hypertension is one of the most common cardiovascular diseases in society. One of the risk factors for hypertension is coffee consumption which is characterized by the emergence of many outlets or coffee shops and is influenced by massive cultural shifts. Objectives: Writing this literature review aims to determine the effect of coffee consumption on increasing blood pressure based on the results of previous studies. Methods: In the preparation of this article using the literature review method from searching articles through electronic databases published in the last 10 years. Results: From the results of the literature review conducted, it shows that there are two conditions where coffee consumption can have an effect on increasing blood pressure and coffee consumption has no effect on increasing blood pressure. Conclusion: Coffee consumption can have an effect on increasing blood pressure due to the presence of caffeine which has antagonistic properties against endogenous adenosine and can stimulate sympathetic nerves. However, coffee also contains micronutrient compounds to provide protective effects against hypertension, such as polyphenols, magnesium, potassium, niacin, and vitamin E. Further research using experimental methods so that clear evidence is obtained from previous studies.

The Automatic Identification System (AIS) is a maritime identification and tracking system that must be implemented on certain vessels in accordance with the regulations of the International Maritime Organization (IMO). One of the ways to enhance maritime safety on ships is by utilizing AIS. This research aims to develop a low-cost AIS intended for use on small vessels such as fishing boats. This study utilizes hardware components such as the GPS M8N, Arduino Nano, and LoRa RA-02 module. The LoRa module is chosen for its ability to transmit data over long distances with low power consumption, making it ideal for maritime applications. The Arduino microcontroller is responsible for controlling the entire system, while the GPS M8N is highly effective in achieving accurate positioning within meter-level precision. The Arduino Nano serves as the main component for receiving and processing data from the GPS M8N and LoRa RA-02, then transmitting the data to the receiver. The methodology and system design in this research follow an experimental approach, where at least one variable is manipulated to study cause-and-effect relationships. The test results of the AIS transmitter device indicate that it can successfully transmit call sign, latitude, and longitude data, with a maximum transmission range of 15 meters on land and 13 meters at sea.

The coffee shop industry in Samarinda City is growing rapidly driven by the hangout culture and increasing coffee consumption. Jay's Coffee, as one of the well-known coffee shops, faces challenges in maintaining customer satisfaction and increasing word of mouth amidst competition. This study analyzes the effect of store atmosphere and experiential marketing on customer satisfaction and its impact on word of mouth. Using a quantitative method with a survey, this study involved 97 Jay Coffee customers selected by non-probability sampling. Data were collected through questionnaires and analyzed with path analysis. The results showed that store atmosphere and experiential marketing have a positive and significant effect on customer satisfaction. A comfortable store atmosphere and interesting experiences increase customer satisfaction, which in turn encourages word of mouth. In addition, store atmosphere and experiential marketing also have a direct effect on word of mouth. Thus, Kopi Jay needs to develop strategies to improve store atmosphere and customer experience to maintain loyalty and improve business competitiveness.

Indonesia, as the world's sixth largest sugar market, faces an imbalance between sugar consumption and production, opening up opportunities for natural sweetener alternatives such as stevia. Stevia, which is low in calories and has the potential to reduce the risk of chronic diseases, is increasingly in demand. However, optimal business strategies to market stevia in Indonesia are still limited. This article aims to analyze PT Sweet on Stevia's business strategy by using Porter Five Forces and SWOT analysis. The method used is to link the two analyses to determine strategies in the aspects of service, marketing and sales, and operations. The results of the analysis show the importance of improving service quality, social media-based marketing, and operational efficiency in facing market competition. The findings provide insights for PT Sweet on Stevia to optimize its business strategy and contribute to the promotion of healthier sugar consumption patterns in Indonesia.

Iron deficiency anemia can be caused by several factors, namely from lack of consumption of food sources containing protein and iron, blood loss and unstable absorption, it can be said to be anemia if the hemoglobin level is <12 gr/dl. Was to find out the relationship between eating habits and the incidence of anemia in adolescent girls at SMA N 2 Demak. In this study uses a quantitative approach with a cross sectional approach with tools in the form of eating habits questionnaires. Population and Sample in this study were 65 adolescent female respondents who were anemic. The sampling technique in this study uses total sampling, which will be analyzed data with sperman rank correlation. Of this study were obtained from 65 respondents, 33 respondents (50.77%) had bad eating habits and moderate anemia 24 respondents (36.92%), from the analysis of bivariate significant values (p=0.000) < (0.05) then Ha was accepted and Ho was rejected, meaning that there was a relationship between eating habits and the incidence of anemia, The Rho (r) value obtained by -0.421 indicates that the direction of the relationship is negative or not unidirectional, which means that if the eating habits are bad, the incidence of anemia will be higher. Poor eating habits can affect the incidence of anemia in adolescent girls. Is expected to be a reference for schools to conduct routine Hb checks for counseling on the prevention of anemia in adolescent girls.

This research aims to examine the influence of information consumption from social media on the improvement of students' academic literacy. Academic literacy is an important skill for students in understanding, analyzing, and critically utilizing scientific information. However, the low level of academic literacy in Indonesia has become a serious concern, especially in the digital era where social media has become the main source of information. This research uses a quantitative method with data collection techniques in the form of surveys among students. The research results indicate that the consumption of information from social media has both positive and negative impacts on academic literacy. Social media facilitates access to academic information, but it also has the potential to lower the quality of literacy due to the dominance of unverified information. This research provides strategic recommendations to enhance students' academic literacy, such as the wise use of social media and strengthening fact-checking skills. These findings are expected to help higher education institutions design policies that support the development of students' academic literacy in the digital era.

In the era of globalization, fashion accessories are no longer limited to functional purposes but have evolved into instruments of personal and cultural expression. Wallets, as one of the most widely used accessories, are now experiencing a shift in design orientation toward cultural values. This study aims to analyze the phenomenon of culturally designed wallets as an emerging modern trend through a comprehensive literature review. The research explores various academic and industry sources published between 2018 and 2024 to understand how cultural elements are integrated into wallet designs and how these influence consumer preferences.The study identifies three primary factors that drive consumer interest in culturally themed wallets: aesthetic value, sustainability, and innovation. Aesthetic value refers to the visual and symbolic appeal of cultural motifs, which resonate with consumers seeking uniqueness and identity. Sustainability reflects the growing awareness among younger generations—especially Millennials and Gen Z—regarding ethical consumption and the use of eco-friendly materials. Innovation in design, such as the fusion of traditional patterns with modern functionality, also plays a crucial role in maintaining market relevance.The findings suggest that culturally inspired wallets have a distinctive market niche, appealing to consumers who value both cultural heritage and modern fashion sensibilities. Moreover, these products support the preservation and promotion of local culture in the context of global commerce. This study contributes to the growing body of literature on culture-based product development and provides insights for stakeholders in the creative industry to enhance product innovation, cultural storytelling, and market competitiveness in the global fashion landscape.

Forecasting the number of electricity customers is a crucial aspect of resource planning and management at PT PLN Tasikmalaya. One method that can be used to improve forecasting accuracy is Lagrange Interpolation, which constructs an interpolation polynomial based on known data points. Although this method has been widely applied in various fields, its use in forecasting the number of electricity customers remains rare. Therefore, this study aims to explore the application of the Lagrange Interpolation method in forecasting the monthly number of electricity customers at PT PLN Tasikmalaya.In this study, historical electricity customer data was used as the basis for constructing an interpolation polynomial, which was then utilized to forecast the number of customers from January 2024 to May 2024. The forecasting results indicate an increase in the number of electricity customers each month. After rounding, the estimated number of customers is 274,952 in January 2024, 278,142 in February 2024, 284,402 in March 2024, 296,031 in April 2024, and 316,391 in May 2024.The findings of this study demonstrate that the Lagrange Interpolation method can be applied to forecast the monthly number of electricity customers at PT PLN Tasikmalaya. However, to improve forecasting accuracy, it is recommended to compare this method with other forecasting techniques and consider external factors that may influence the number of customers, such as government policies, economic growth, and changes in electricity consumption patterns.