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The purpose of this study is to determine the handling of b3 waste by the soft drink industry. The research method used is to compare the local situation with current regulations. The comparison is carried out using a guttman scale where if it is appropriate, a score of 1 is given and if it is not appropriate, a score of 0 is given. The source of B3 waste generated by the soft drink industry comes from maintenance activities, laboratories, offices, and transportation. The type of hazardous waste comes from category 1 general specific sources, namely expired chemicals from laboratories, while from non-specific sources in the form of hazardous contaminated waste, waste from laboratories containing hazardous substances, and used batteries. Then there are category 2 general specific sources in the form of used toner, while from non-specific sources in the form of electronic waste, used B3 packaging, used cloth, used lubricating oil, and residual ink. The characteristics of B3 waste produced include toxic, flammable, and corrosive. In the transportation of B3 waste, the Sidoarjo Regency Soft Drink Industry has collaborated with third parties. Based on the results of the analysis of B3 waste management in soft drink industry companies classified in the “good” category. However, there are still things that need to be improved in the management of B3 waste in the form of applying symbols and labels, packaging, and storage.

The rapid development of digital technology has a significant impact on people's lives, including children's lives. Due to the use of this technology, protecting children's personal data has become an important issue in the current digital era, where children are vulnerable to the misuse of their personal data. The aim of this research is to examine the role of supervisory institutions in providing protection for children's personal data in Indonesia and to analyze it in comparison with the Personal Information Protection Act (PIPA) in South Korea. This research employs a normative legal approach. The legal materials used in this study focus on primary legal sources in the form of legislation, secondary legal sources such as literature, books, and journals, tertiary legal sources including Black’s Law Dictionary and the Indonesian Language Dictionary, as well as legal comparisons between Indonesia and South Korea. The results of this study indicate that the law in Indonesia has not fully provided adequate protection for personal data, particularly regarding the establishment and role of supervisory institutions, which have not yet been formed as a means of safeguarding children's personal data. In contrast, the regulations in South Korea provide more detailed provisions regarding the protection of children's personal data, along with an effectively functioning supervisory body known as the Personal Information Protection Commission (PIPC).

Skin cancer (SC) is a highly serious kind of cancer that, if not addressed swiftly, might result in the patient’s demise. Early detection of this condition allows for more effective therapy and prevents disease development. Deep Learning (DL) approaches may be used as an effective and efficient tool for SC detection (SCD). Several DL-based algorithms for automated SCD have been reported. However, more efficient models are needed to improve accuracy. As a result, this paper introduces a new strategy for SCD based on Grey Wolf optimization (GWO) methodologies and CNN. The proposed methodology has four stages: preprocessing, segmentation, feature extraction, and classification. The proposed method utilizes a Convolutional Neural Network (CNN) to extract features from Regions of Interest (ROIs). CNN is employed for feature categorization, whereas the GWO approach enhances accuracy by refining edge detection and segmentation. This technique utilizes a probabilistic model to accelerate the convergence of the GWO algorithm. Employing the GWO model to optimize the structure and weight vectors of CNNs can enhance diagnostic accuracy by a minimum of 5%, based on evaluation outcomes. The application of the proposed strategy and its performance comparison with other methods indicate that the proposed method with GWO predicted SC with an average accuracy of 95.11% and without GWO an Accuracy of 92.66%, respectively, enhancing accuracy by a minimum of 2.5% when we train our model with GWO.

The pillars of marriage as a requirement for the validity of a marriage, include fundamental elements that must be present in the marriage contract process. The four major schools of thought in Islam, namely Hanafi, Maliki, Syafi'i, and Hambali, have different views even though the basic principles of the pillars of marriage are generally different. This difference arises due to differences in the ijtihad method and the social context faced by each school of thought, although all are based on the Qur'an, Hadith, and ijma' (consensus of scholars) which have been widely accepted in Muslim society. This study focuses on a comparison of the pillars of marriage according to the four main schools of thought in Islam. The research method used is library research. Based on this study, the results obtained are that the pillars of marriageaccording to 4 schools of thought are: first, the Hanafiyah school consists of ijab and qabul. Second, the Malikiyyah school consists of the woman's guardian, dowry, the husband is not in ihram, the wife is not in ihram and is not in the 'iddah period, and shigat. Third, the Syafi'iyyah Madzhab consists of a husband, wife, guardian, two witnesses, and sighat. Fourth, the Hanabilah Madzhab consists of husband and wife, consent and qabul.

Clustering is one of the methods in data mining used in grouping data based on certain characteristics. This study aims to compare the performance of the K-Means Clustering and Hierarchical Clustering methods in clustering Senior High Schools (SMA) in Surakarta based on the parameters of the number of students, facilities, accreditation scores, and school achievements. In this study, a comparison was made between two popular clustering methods, namely K-Means Clustering and Hierarchical Clustering, to group Senior High Schools (SMA) in Surakarta City based on various relevant attributes. The attributes used include graduation rates, number of students, teaching quality, and available facilities. The results of the study show that both methods have their own advantages and disadvantages. K-Means is more efficient in terms of processing time, while Hierarchical Clustering provides a deeper understanding of the structure of relationships between SMAs. K-Means clustering provides better clustering results in terms of separation between clusters, with a higher Silhouette Score (0.52) and a lower Davies-Bouldin Index (0.88). This shows that K-Means is more efficient and better in clustering SMA based on the given data.

This study aims to examine the Analysis of the Development of the Tangkahan Tourism Area. This type of research uses qualitative descriptive research. The data collection techniques in this study are interviews and observations. Data collection is data obtained from research sources that are still raw and have not been processed by researchers Data reduction, data presentation, the process of drawing conclusions involves the researcher interpreting the data that has been displayed. The methods carried out include comparisons, grouping, making patterns, and triangulating. The results of tourism development research are carried out with the aim of making tourism advanced and developing in a better direction in terms of the quality of facilities, facilitating access anywhere, becoming a desired destination, and making good economic benefits for the surrounding community. Tourism planning and development is not a stand-alone system, but is closely related to other development planning systems intra-sectoral and intra-regional. Then the development of tourist destinations requires good and appropriate planning techniques. The development technique must combine several aspects to support the success of tourism. These aspects are accessibility aspects (transportation and marketing channels), characteristics of tourism infrastructure, level of social interaction, linkage/compatibility with other sectors, resilience to tourism impacts, level of resistance of local communities, and so on.

PT Jasa Raharja is one of the state-owned enterprises (BUMN) operating in the insurance services sector. The employee selection process often involves subjectivity and a lack of consistent evaluation standards, making it less effective. With the implementation of a Decision Support System (DSS), this assessment process can be carried out meticulously, considering various criteria that influence the final decision. The outcome of this ranking process will determine the most suitable candidate for acceptance. To achieve accurate results, the ARAS and Weighted Product comparison methods are applied. The data used are derived from the company's criteria. The criteria utilized in this study include interviews, psychometric tests, work experience, age, and education. The results of this study produced different rankings: Irfan, according to the ARAS method, has a preference weight of (0.8912), while in the WP method, he has a preference weight of (0.1229).

Indonesia and Thailand, both Southeast Asian countries with high levels of cigarette consumption, have implemented health warning images on cigarette packs as a strategy to reduce smoking prevalence. This study aims to analyze and compare the effectiveness of these warning images in creating a deterrent and fear effect on smokers in both countries. Using Roland Barthes' semiotic method, this study focuses on visual elements such as image, size, and text message. The findings show that in Indonesia, images of lung cancer victims with scary textual warnings are pasted on the packaging, whereas in Thailand, the images used are more varied and larger in size, creating a stronger visual impact. Data from the Indonesian Ministry of Health and Thailand's Global Action to End Smoking revealed that there will be 70 million smokers in Indonesia by 2024 and 11.5 million in Thailand by 2022. The comparative results suggest that the larger and more varied health warnings in Thailand may be more effective in attracting attention and triggering emotional responses compared to the more homogenous approach in Indonesia. In conclusion, the results of this study suggest that effective visual warnings can influence smokers' awareness and behavior, providing important insights for the development of more dynamic public health policies tailored to each country's cultural context in tobacco control efforts.

This study was aimed to describe: (1) the effectiveness of learning with a blended learning model using scientific (2) the effectiveness of scientific approach; and (3) the difference in the effectiveness of learning with a blended learning model using scientific approach and learning using scientific approach in terms of critical thinking, and learning independence of mathematics students in high school. The research type is quasi-experiment. The population was all 11th grade students of SMA in semester II of 2024/2025. The sample was established randomly consisting of class XI MIA 2 as the experiment class and XI MIA 1 as the control class. The data collection method uses research instruments in the form of a Learning Independence Test of 15 multiple choice questions, a Critical Thinking Test of 4 descriptive questions, and a Learning Independence Questionnaire of 20 statement, administered as pretests and posttests. To assess the effectiveness of blended learning with a scientific approach and the scientific approach alone, a one-sample mean vector test was conducted, followed by a one-sample t-test. Differences in effectiveness were analyzed using an independent two-sample mean vector test (T² Hotelling). If analysis revealed significant differences between the two classes, an independent sample t-test for comparison was conducted. The results showed that: (1) learning with blended learning model using scientific approach is effective in terms of critical thinking, and independence of learning mathematics of high school students; (2) learning using scientific approach is effective in terms of critical thinking, and independence of learning mathematics of high school students; and (3) learning with blended learning model using scientific approach is more effective than learning using scientific approach in terms of critical thinking, and independence of learning mathematics of high school students.

The A* Algorithm is a path-finding algorithm that primarily uses weighted graphs and focuses on the heuristic values of nodes. However, while effective in generating a near-optimal path in a static environment, the traditional algorithm faces limitations in navigating dynamic environments, often resulting in collisions due to its inability to recognize dynamic and moving obstacles. This limitation makes it inefficient especially in complex environments with real-world scenarios. To address these limitations, an Enhanced A* Algorithm is proposed. This algorithm utilizes Navigation Mesh data structure to generate a more optimal route with local path planning and to dynamically adjust the parameters in two-dimensional non-grid environments. The performance of the algorithms was evaluated using 12 benchmarks, each corresponding to a distinct test case and levels of complexity. Then, in terms of dynamic obstacle avoidance, a comparison between the Enhanced A* Algorithm and the traditional algorithm was conducted. Statistical analyses were also performed to assess the consistency and validity of the findings. The results demonstrated that the Enhanced A* Algorithm successfully avoided all dynamic obstacles and moving objects encountered along the path in all distinct test cases. In contrast to the traditional algorithm, which achieved an average obstacle avoidance rate of 8.33%, the enhanced algorithm consistently demonstrated a 100% average obstacle avoidance rate. The enhanced algorithm outperformed the traditional A* algorithm in generating a path in a complex environment by exhibiting optimal dynamic obstacle recognition and avoidance. The Enhanced A* Algorithm is subsequently applied to autonomous vehicle parking, following standard parking restriction laws.

Social media is now the first tool of interaction between humans with a very large number of users worldwide. The potential of social media to spread information in a short time and on a wider scale has affected many areas of life, especially in the process of forming individual personalities. This study examines the effects of social media on the character of college or university students, both for good and bad. On the one hand, it is noted that social media helps build bonds between people and helps in broadening one's perspective and even supports personal growth through social interaction in a positive way. However, on the other hand, social media also shows the potential to create social anxiety, social pressure, and identity issues due to social comparison and exposure to negative content. College students, who are in the stage of finding their identity, become easy targets for the influence of social media. In the right way, this media can be used to encourage them in forming positive characters. This study argues for the need for better digital literacy and the use of wise social media strategies to maintain high positive effects and low negative impacts.

Artificial Intelligence (AI) has brought changes in various sectors including education, particularly at the secondary school level. This study aims to analyze the role of AI in improving academic learning, identify the positive impact of AI implementation in the education sector, and compare the effectiveness of AI-based learning with conventional methods. Using the Systematic Literature Review (SLR) method, this study analyzed 50 scientific articles published between 2019-2024 from ScienceDirect, IEEE, Semantic Scholar, and Google Scholar databases. The results showed that the implementation of AI improved students' academic performance by 23% compared to traditional methods, with an increase in students' learning motivation by 35%. In the aspect of adaptive learning, AI shows an increase in learning effectiveness by 30% and increases student participation in distance learning by 40%. Comparison with conventional methods shows the superiority of AI-based learning in material personalization (90% vs 60%), feedback system (85% vs 40% responsiveness), and student engagement (75% vs 45%). However, the research found that optimal results are achieved through blended learning that combines the power of AI with the social interaction of conventional learning.

Eco enzyme is a biocatalyst obtained from a fermentation process involving microorganisms, and has the potential to be applied in various environmental and industrial fields. This research aims to determine the optimum conditions for the volume of eco enzyme, determine the most influential variables between time and pH used during the eco enzyme fermentation process and the chemical characteristics of the eco enzyme product which was fermented for three months. Optimization method using the Central Composite Design – Response Surface Methodology (RSM) method. The comparison made in eco enzyme fermentation is water: organic waste: molasses = 10: 3: 1 = 5000 ml: 1500 gr: 500 gr. Fermentation for 3 months resulted in optimum conditions for making eco enzyme found at a reaction time of 96.213 and a pH of 5.207, with a maximum % yield of 10.24. The most influential variable in this research is pH. FTIR test results show the strongest absorption in the -OH (hydroxyl) group with alcohol properties at a wavelength of 3307.99 cm⁻¹, with a low transmittance of 48.2%. This group has antimicrobial properties that support the growth of good bacteria and other microbes.

Imperfect: Career, Love & Scales is a work that discusses the issue of body shaming and social pressure on beauty standards. Through a qualitative approach with social comparison theory analysis, this study reveals how the representation of body aesthetics is displayed in the film. The main character, Rara, experiences pressure to meet ideal beauty standards, such as a slim body and white skin, both in her work environment and family. This phenomenon reflects social construction and popular culture that reinforces beauty stereotypes. The impacts of this pressure include decreased self-esteem, anxiety, and unhealthy dieting behavior. This study shows that media-promoted beauty standards have a negative impact on individual mental health and encourage appearance-based discrimination. The film also critiques narrow beauty standards while conveying important messages about self-acceptance and diversity.

This community service activity (PKM) aims to improve operational efficiency and service quality at Santosa Catering through the implementation of a web-based catering ordering system. Santosa Catering, as a micro business, faces obstacles in managing orders that are still done manually, which causes inaccurate stock information, delays in delivery, and limited customer access to menus and prices. Through a Diffusion of Science and Technology and Knowledge Transfer approach, a web-based ordering system was developed and implemented to support business operations. The system allows customers to access real-time menu information, place online orders, and choose preferred payment methods, while the owner and staff were given intensive training to effectively operate the system. The evaluation results showed significant improvements in all aspects of assessment, including understanding of system features, operational skills, time efficiency, and customer satisfaction, as shown in the comparison chart of pretest and posttest results. The system not only optimizes operational processes but also increases customer satisfaction, strengthens business competitiveness, and has the potential to become a model for other micro businesses in utilizing digital technology. Thus, this PKM activity is expected to contribute to the sustainability of Santosa Catering's business in the digital era.

Multicultural education in Indonesia is an important approach to creating an inclusive and harmonious society, considering the ethnic, cultural, and religious diversity that exists in the country. This research aims to explore the dynamics of multicultural education, the challenges faced in its implementation, and provide recommendations for educational policies and practices. The method used is library research, with thematic analysis of various relevant literature. Key findings suggest that while multicultural education has great potential to build tolerance and mutual understanding, its implementation is still hampered by a lack of understanding among educators and limited resources. Concrete examples of multicultural educational practices in some schools show that with the right approach, this education can have a positive impact on student attitudes. The resulting recommendations include improved training for teachers, curriculum revision, and collaboration with the community. The study also identified the need for further studies to explore the long-term impact of multicultural education and its comparison with practices in other countries. By overcoming the existing challenges, it is hoped that multicultural education can be implemented more widely and have a positive impact on future generations in Indonesia.

This research explores the dynamics of public administration in Indonesia by comparing the roles and interactions of the formal and informal sectors in service delivery. Utilizing a qualitative approach, the study examines how these two sectors function independently and collaboratively within the broader context of governance. Data were collected through semi-structured interviews and focus group discussions with stakeholders from both sectors, including government officials, community leaders, and informal service providers. The findings reveal that while the formal sector is essential for providing structured public services and ensuring accountability, it often faces challenges such as bureaucratic inefficiencies and limited responsiveness to local needs. In contrast, the informal sector plays a critical role in addressing gaps left by formal institutions, offering agile and community-driven solutions, particularly in underserved areas. However, the informal sector also encounters significant challenges, including a lack of recognition and resources, which can hinder its effectiveness. The study highlights the importance of fostering collaboration between the formal and informal sectors to enhance public service delivery. By integrating the strengths of both sectors, it is possible to create a more responsive and effective public administration system. The research emphasizes that recognizing and supporting the informal sector as a complement to the formal sector is crucial for improving governance outcomes in Indonesia. The study provides actionable recommendations for policymakers to promote synergy between these sectors, ultimately leading to better public services that meet the diverse needs of the Indonesian population.

Micro, small, and medium-sized enterprises (MSMEs) are profitable businesses that are owned by people or corporate entities that operate to satisfy personal needs and ensure their existence. Calculating and analyzing manufacturing expenses in order to establish the selling price of fried chicken goods is the goal of this study. The full cost method is used to achieve this. Using a quantitative approach, this research investigates the elements that influence selling prices. This research uses direct observation of objects and interviews with owners to obtain precise data. According to our observations and interviews with Mr. Stefanus (36), owner of the Ayam Gebuk Sambalado MSME, the business still uses conventional methods to calculate the manufacturing cost. This research uses the full costing method to make information on the cost of production more accurate. This is predicated on a comparison of the whole costing technique and the business method for determine cost of items created, which demonstrates that the final cost of goods manufactured differs significantly. This happens because business owners don't know how to calculate the correct cost of production, so they don't include costs correctly in the price calculation.

Indonesia is an archipelagic country that has abundant mineral wealth, both metal minerals and other minerals. Metal minerals, including gold, tend to have a higher economic value. Based on data from the Ministry of Energy and Mineral Resources, the world's gold reserves in 2020 were 50,300 tons of Au. Indonesia is among the 5 largest in the world with 5% of the total gold reserves, which is 2,600 tons of Au. Therefore, it is necessary to develop technology and science in the mining industry, especially gold and silver, to improve the optimization of the process and increase the added value of the mining products themselves. One of the gold extraction processes can be done hydrometallurgically with the cyanidation method using a intensive leach test. The results of this experiment show that factors such as cyanide usage and ultra fine particle size will greatly affect the recovery of gold and silver metals.

Divorce is a global phenomenon with significant implications for children's rights. This study aims to conduct a comparative analysis of the fulfillment of children's rights after divorce in five countries with different legal systems: Qatar, Egypt, Indonesia, Malaysia, and Jordan. The research employs a normative juridical method with a comparative legal research approach through literature review and legal document analysis. The findings reveal that each country has a unique mechanism for ensuring children's rights after divorce. Diverse legal systems—ranging from common law, civil law, to Islamic law—lead to variations in approaches to ensuring custody, care, and protection for children. The study identifies four critical dimensions in fulfilling children's rights: the right to survival and development, the right to protection, the right to education, and the right to participation. The comparative analysis highlights that cultural factors, legal systems, and political commitment play a fundamental role in determining the effectiveness of child rights protection after divorce. Key recommendations of this study include the need for regulatory harmonization, strengthening enforcement mechanisms, and developing sustainable monitoring systems. This research provides theoretical and practical contributions to understanding the complexity of fulfilling children's rights across global legal systems.