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Waste management is a major challenge in environmental conservation in Indonesia. One innovative approach that can be implemented is the use of informative waste signs as a visual educational medium for the public. Waste signs are information boards placed in strategic locations to provide knowledge about the types of waste, their environmental impacts, and the decomposition time of various materials. The Community Service Program (KKN) of Padang State University (UNP) has implemented this concept by creating educational boards containing information on waste decomposition time, ranging from waste that decomposes in 50–100 years to waste that does not decompose at all. This article aims to examine the concept, benefits, and effectiveness of waste signs as a community-based environmental education instrument. The methods used include field observation and a qualitative descriptive approach. The results of the study indicate that waste signs can increase public awareness of the importance of proper waste management. Thus, this medium has the potential to be a simple yet effective educational tool in supporting sustainable environmentally friendly behavior.

This study is motivated by the limited public understanding of the symbolic meaning of properties used in the Grombyang Dance of Pemalang, where most audiences merely enjoy the performance without recognizing the cultural values embedded within it. This research aims to examine and explain the symbolic meanings of the properties used in the Grombyang Dance of Pemalang as performed at Sanggar Seni Kaloka Pemalang. The method employed is a descriptive qualitative approach using semiotic analysis based on Charles Sanders Peirce, with data collection techniques including observation, interviews, and documentation. The results of the study indicate that the performance structure of the Grombyang Dance of Pemalang consists of three main parts: the opening, the core, and the closing, supported by various elements such as theme, movement, performers, makeup, costume, musical accompaniment, stage setting, and properties. The semiotic analysis reveals that the symbolic meaning of the properties can be understood through the relationship between representamen, object, and interpretant. The main property, the irus (ladle), functions as a symbol that not only represents the act of scooping Grombyang soup but also carries a belief-related meaning as a bringer of fortune in trading activities. In conclusion, the properties in the Grombyang Dance of Pemalang serve not only as aesthetic elements but also as a medium of symbolic communication that reflects cultural, social, and belief values within the community. Therefore, they are important to be preserved and more deeply understood by the public.

This study aims to analyze the visual appeal of anime characters through a case study of cosplayers in Surabaya. The focus of this research is to identify the factors that motivate cosplayers to idolize anime characters and to describe the visual elements that contribute to the formation of such appeal. This study employs a qualitative approach using observation, interviews, documentation, and questionnaire distribution to 30 active cosplayers aged 18–20 who are members of cosplay communities in Surabaya. The collected data were analyzed using Charles Sanders Peirce’s semiotic approach, which emphasizes the relationship between sign, object, and interpretant in the process of visual meaning-making. The results indicate that the appeal of anime characters is not solely influenced by visual aspects but also by emotional attachment formed through character representation. Specifically, facial features (66.7%) and body gestures (33.3%) are the dominant factors influencing cosplayers’ preferences, compared to other visual elements such as color, costume, and hair details. The semiotic analysis reveals that visual elements in cosplay function as a system of signs that represent character identity while simultaneously constructing aesthetic, emotional, and narrative meanings for the audience.

Furniture is an item needed to complete the needs at home or residence, furniture helps the process of household chores become easier, as a place of storage, and creates comfort for its occupants. In this increasingly environmentally conscious era, product design is here to integrate the principles of sustainability. One of them is waste from industrial HPL (high pressure laminate) which is often thrown away without being utilized, Plywood waste and High Pressure Laminate (HPL) are by-products of the furniture industry that hold potential for reuse through sustainable design practices. This study aims to design a coffee table using plywood and HPL waste by applying the Design Thinking method, which includes the stages of empathize, define, ideate, prototype, and test. This method enables user needs analysis, idea exploration, and iterative prototype development. The results indicate that waste materials can be transformed into a coffee table that is strong, aesthetically appealing, and functional. The use of HPL enhances surface durability and visual value, while the plywood structure can be reinforced through simple joinery systems. The final product meets ergonomic, stability, and aesthetic criteria. In conclusion, Design Thinking is effective in transforming waste materials into high-value furniture and supports sustainable design practices

This study was conducted to determine the best log-linear model describing the relationship between gender, sleep duration, extracurricular activities, and student learning outcomes at SMAN 1 Kualuh Hulu. A log-linear analysis approach was used to identify interaction patterns among the variables and evaluate their contribution to student academic performance. The findings showed that the selected model adequately explained the structure of the observed data. A significant three-way interaction was identified between learning outcomes, sleep duration, and gender. The results indicated that insufficient sleep duration had a negative impact on student learning outcomes, and this effect varied by gender. Female students were found to be more vulnerable to decreased academic performance caused by sleep disturbances compared to male students. Meanwhile, extracurricular activities did not demonstrate a significant direct interaction with learning outcomes. This suggests that participation in extracurricular activities was not a major factor influencing differences in academic achievement among students at SMAN 1 Kualuh Hulu.

Differential equations involve derivatives of unknown functions and are widely used in mathematical modeling of various real-world problems. They can be classified based on linearity, homogeneity, coefficients, number of independent variables, degree, and order, thus requiring appropriate solution methods. One commonly used approach is the reduction of order method, which simplifies equations by reducing their order step by step. However, this method generally requires the solution of the corresponding homogeneous equation as an initial step. This study aims to solve nonhomogeneous linear ordinary differential equations of order with constant coefficients using the reduction of order method without determining the homogeneous solution. This research is a theoretical study based on relevant references concerning solution methods and types of differential equations. The procedure consists of two main stages: determining the fundamental symmetric polynomial variables based on the coefficients and constructing a sequence of solutions through first-order linear differential equations obtained from the reduction process. The results show that this method systematically produces the general solution of linear differential equations of order , making it an effective and efficient alternative approach

The trademark dispute between PT GoTo Gojek Tokopedia Tbk and PT Terbit Financial Technology has become a significant issue in the field of intellectual property law in Indonesia. This conflict arose because PT GoTo used the trademark name “GOTO,” which had already been officially registered earlier by PT Terbit. This study aims to examine the legal protection granted to registered trademark owners under Law Number 20 of 2016 concerning Trademarks and Geographical Indications, as well as to analyze the application of the first to file principle in resolving the dispute. This research employs a normative juridical approach by reviewing relevant legislation and conducting a case analysis based on the Decision of the Central Jakarta Commercial Court Number 71/Pdt.Sus-HKI/Merek/2022/PN Niaga Jkt.Pst. The findings indicate that Indonesia prioritizes the first to file system in determining trademark ownership, meaning that exclusive rights are granted to the party who registers the trademark first. The court decision in favor of PT Terbit confirms that formal registration serves as the primary legal basis for trademark protection. Therefore, this study highlights the importance of conducting trademark verification prior to public use and emphasizes the need to strengthen legal awareness among business actors to prevent similar disputes in the future.

This community service activity aimed to improve farmers’ knowledge and skills in implementing selection strategies and simple recording systems for local goats to support increased livestock productivity. The activity was conducted at the Sumber Tani Baru Livestock Farmer Group, Poasia District, Kendari City, targeting local goat farmers. The method used was a participatory approach, including observation, counseling, training, demonstrations, and mentoring. The results showed an improvement in farmers’ knowledge and skills in selecting superior does and bucks, as well as in recording livestock data. Farmers were able to identify superior animals based on specific criteria and began to implement simple recording systems to monitor livestock performance. In addition, farmer participation was relatively high, as indicated by active involvement in discussions and field practices. This activity proved effective in enhancing farmers’ capacity and has the potential to support sustainable improvement in local goat productivity.

The development of social commerce has encouraged the integration of content-based marketing strategies with transaction mechanisms that enhance consumers’ perceived security. TikTok Shop, as a video-based e-commerce platform, introduces new dynamics in consumers’ purchase decision-making processes. This study aims to analyze the effects of content marketing and the Cash on Delivery (COD) system on consumers’ purchase decisions on the TikTok Shop e-commerce platform. This research adopts a quantitative approach using a survey method involving 101 TikTok Shop users in Indonesia who have made purchases on the platform. Data were collected through an online questionnaire and analyzed using multiple linear regression with the assistance of SPSS. The results indicate that content marketing and the Cash on Delivery (COD) system have positive and significant effects on purchase decisions, both partially and simultaneously. Partially, the COD system exerts a more dominant influence than content marketing. The coefficient of determination shows that the independent variables explain a substantial proportion of the variance in consumers’ purchase decisions. These findings suggest that purchase decisions on TikTok Shop are influenced by a combination of content quality and payment mechanisms that reduce consumers’ perceived risk.

Background: Automatic segmentation of the thyroid gland in ultrasonography (USG) images using deep learning requires a user-friendly interface to support diagnostic and educational processes. Purpose: This study aims to develop and implement a Graphical User Interface (GUI) that integrates a deep learning U-Net model for interactive and efficient segmentation and visualization of thyroid USG images. Method: The development method employed the Rapid Application Development (RAD) approach using MATLAB programming language. The GUI is designed to load transverse and sagittal USG images, display automatic segmentation results, and calculate thyroid gland volume based on dimensions measured automatically from the segmentation output. Testing was conducted using USG image data from 15 volunteers, and GUI functionality was evaluated using black box testing. Result: The GUI successfully displayed USG images and segmentation results with a responsive 4-panel interface; zoom, pan, and image navigation features functioned well. Automatic segmentation occurred in real-time after image input, and volume measurement results appeared automatically. Black box testing evaluation showed all GUI features operated as expected. The average Dice Similarity Coefficient (DSC) of 0.91 indicates high performance of the U-Net model in thyroid segmentation, consistent with previous findings. Statistical testing confirmed no significant difference between volume measurements using the application and manual methods (p = 0.953). Conclusion: This GUI implementation facilitates users in performing deep learning-based segmentation and visualization of thyroid USG images, improving efficiency and accuracy in thyroid volume measurement. The GUI has potential applications in clinical practice and radiology education.

This quantitative study examines the influence of information quality, work engagement, and leadership style on decision making effectiveness among employees of a manufacturing company. Data were collected from 100 respondents using accidental sampling technique. Multiple linear regression analysis revealed that all three independent variables simultaneously affect decision making effectiveness. Partially, information quality, work engagement, and leadership style each have significant positive effects on decision making effectiveness. Leadership style demonstrates the strongest influence, followed by information quality and work engagement. The regression equation indicates positive contributions from all predictors. The coefficient of determination shows that the three predictors collectively explain a substantial portion of variance in decision making effectiveness. Findings suggest manufacturing companies should prioritize transformational leadership development programs, conduct information system audits, and implement work engagement initiatives to enhance decision making effectiveness. Future research should expand to other industries, add organizational culture variables, and employ longitudinal designs.

This study examines the influence of employer branding and social media on job application intention, with corporate reputation serving as a mediating variable at PT Prima Indah Lestari in the digital era. A quantitative explanatory approach with a causal research design was employed. Data were collected from 96 prospective employees selected through purposive sampling using a questionnaire. The data were analyzed using IBM SPSS Statistics, applying multiple linear regression analysis and the Sobel test. The findings indicate that employer branding, social media, and corporate reputation positively and significantly affect job application intention, both partially and simultaneously. Furthermore, the results confirm that corporate reputation significantly mediates the relationship between employer branding and social media on job application intention.

This study aims to analyze the effect of Brand Image, Product Quality, and Promotion on Purchase Decisions of Crocs sandals in Batam City. The research employs a quantitative approach using a survey method. Data were collected through questionnaires distributed to 119 respondents who are consumers of Crocs products in Batam City. The data analysis techniques include validity and reliability tests, classical assumption tests, multiple linear regression analysis, t-test, F-test, and coefficient of determination analysis, using SPSS version 26. The results indicate that Brand Image and Product Quality have a positive and significant effect on Purchase Decisions. Meanwhile, Promotion shows a positive but insignificant effect on Purchase Decisions. Simultaneously, Brand Image, Product Quality, and Promotion have a positive and significant effect on Purchase Decisions. The Adjusted R Square value of 0.905 indicates that 90.5% of the variation in Purchase Decisions can be explained by the three independent variables, while the remaining 9.5% is influenced by other factors not examined in this study. This research is expected to provide insights for companies in formulating more effective marketing strategies, particularly in strengthening brand image and improving product quality.

This study aims to analyze the influence of influencer marketing, brand image, and e-WOM on purchasing decisions on the Shopee marketplace. A quantitative descriptive approach was used, involving 204 Shopee consumers who had previously purchased specific products. They were selected using purposive sampling based on Jacob Cohen's calculation guidelines to ensure the sample accurately represented the population. Data were collected through a questionnaire, which was then analyzed using validity and reliability tests, classical assumption evaluation, multiple linear regression, and hypothesis testing using t-tests and F-tests. The regression analysis showed that influencer marketing had a 34.8% influence on purchasing decisions, brand image contributed 32.7%, and e-WOM had an influence of 20.0%. Furthermore, the coefficient of determination (R²) showed that these three variables together explained 86.9% of the variation in consumer purchasing decisions. The t- and F-tests confirmed that each variable had a significant and positive influence, both partially and simultaneously, on purchasing decisions on the Shopee marketplace.

Income inequality remains a fundamental challenge in regional economic development after the implementation of regional autonomy. This study aims to analyze the effect of fiscal decentralization policies, as measured by the variables of Local Government Revenue (LGR) and the Balancing Fund, on income inequality in 14 regencies/cities in West Kalimantan Province. This study uses a descriptive quantitative approach with panel data for the period 2015–2024. The data analysis technique used is panel data regression with a natural logarithm model. The results of the study show that LGR has a positive and significant influence on income inequality, which indicates that increasing regional fiscal independence actually tends to widen income disparity. Conversely, the Balancing Fund is proven to have a negative and significant effect, confirming its effective role as a redistribution instrument in reducing interregional inequality. Simultaneously, both fiscal instruments have a significant impact on the Gini ratio.

This study aims to analyze the influence of intellectual intelligence, emotional intelligence, and love of money on the ethical behavior of accounting students. The research method used is a quantitative approach. The population in this study were accounting students from the 2021 and 2022 intakes of Padang State Polytechnic. This study used primary data collected by distributing questionnaires via Google Forms using a purposive sampling technique, resulting in 119 respondents. The data analysis method used multiple linear regression with IBM SPSS Statistics 25 software. The results show that intellectual intelligence and emotional intelligence partially influence the ethical behavior of accounting students, while love of money does not. Simultaneously, intellectual intelligence, emotional intelligence, and love of money influence the ethical behavior of accounting students.

This study was conducted to systematically explore the influence of the level of ease of transactions and the quality of e-commerce services on the process of determining consumer purchasing decisions in Batam City. The research framework was built with a descriptive-oriented quantitative approach through the involvement of 100 respondents who actively utilize digital transaction services, which were determined using a purposive sampling technique based on the Lemeshow formulation to ensure the adequacy and representativeness of the sample. Empirical data were collected through a structured questionnaire and then processed using statistical analysis stages that included testing the validity and reliability of the instrument, evaluation of classical assumptions, multiple linear regression modeling, and verification of hypotheses through t-tests and F-tests. The results of data processing revealed that the variable of ease of transactions contributed 18.8% to purchasing decisions, while service quality contributed an influence of 63.5%. The coefficient of determination (R²) reaching 73.3% indicates that both independent variables simultaneously have substantial explanatory power towards variations in consumer purchasing behavior. Both partial and simultaneous testing confirmed a significant influence, thus confirming that simplifying transaction mechanisms and strengthening digital service quality are strategic determinants in driving e-commerce consumer purchasing decisions in Batam City.

The rapid development of the Industrial Revolution (IR) 4.0  and the transition towards Society 5.0 demand an increase in digital literacy and a basic understanding of technology systems starting from secondary education. The Community Service (CS) Program conducted by the Department of Electrical Engineering Universitas Presiden aims to introduce the concepts of logic gates and digital systems to students of SMA 1 Cikarang Pusat. This CS integrates theoretical explanations and simulation practice using the online platform Circuitverse. This CS was evaluated using a Likert scale (1–4) questionnaire instrument, namely Expectation (Importance) and Performance, with a total of 40 student respondents. The analysis results show that all indicators received an average performance score above 3.30, with satisfaction indices ranging from 82.50% to 90.62%, which falls into the very high category. The indicator for the use of appropriate technology received the highest score of 90.62%, indicating the relevance of the material to current technological developments. The Importance–Performance Analysis (IPA) shows that most indicators are in the 'maintain performance' quadrant, indicating alignment between participants' expectations and the activity's performance. These findings suggest that the workshop is effective in enhancing students' understanding of basic digital system concepts while also fostering interest in engineering and technology fields. The activity underscores the strategic role of universities in bridging the technology literacy gap at the secondary education level in response to the challenges of the IR4.0 and Society 5.0.

The rapid development of Artificial Intelligence (AI) has brought significant changes to the criminal justice system, particularly in criminal investigations and evidentiary processes, while simultaneously raising complex legal and ethical challenges. Objective: This study aims to analyze the legal implications of the use of AI in criminal investigations, focusing on its benefits, risks, and challenges related to the admissibility of AI-based evidence, as well as the need for regulatory frameworks that ensure fairness, transparency, and accountability. Methods: This research employs a normative qualitative approach through the analysis of legal regulations, a review of legal and technological literature, and a comparative approach across jurisdictions, complemented by case studies of AI applications in law enforcement practices. Results: The findings indicate that AI enhances investigative efficiency through data analysis, crime prediction, and digital forensics; however, it also poses risks such as algorithmic bias, human rights violations, and issues concerning the reliability and transparency of evidence. Furthermore, differences across legal systems result in the absence of uniform standards for the admissibility of AI-based evidence. Therefore, adaptive regulatory frameworks grounded in the principles of fairness, transparency, and accountability are required, along with strengthened human oversight to ensure that the use of AI aligns with the principles of justice and human rights protection.

This study aimed to examine the influence of promotional strategies and user-friendliness on consumer purchasing decisions on the ShopeeFood platform in Batam City. The research used a descriptive quantitative approach, involving 100 actively transacting respondents, selected through purposive sampling based on Lemeshow's calculation guidelines to ensure sample representativeness. Data were collected through a structured questionnaire and analyzed using a series of validity and reliability tests, classical assumption checks, multiple linear regression, and hypothesis testing using t- and F-tests. The research findings indicated that promotions contributed 42.4% to purchasing decisions, while user-friendliness contributed 26.0%. The coefficient of determination (R²) of 78.9% confirmed that these two variables collectively explained most of the variation in purchasing behavior. The results of the t- and F-tests confirmed that promotions and user-friendliness had a significant influence, both partially and simultaneously, emphasizing the importance of integrating effective digital marketing strategies and an intuitive application interface to drive consumer decisions on ShopeeFood in Batam City.