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This study aims to apply integral calculus methods to calculate the volume and arc length of an ice cream cone design shaped like a flower petal. The cone design is modeled using a quadratic function derived from three reference points on the petal curve. Using the solid of revolution method around the y-axis, the calculated petal volume is 150.8 cm³, and the arc length is 7.14 cm. The results demonstrate that calculus-based modeling supports efficient material usage while enhancing aesthetic and functional aspects of packaging. This research highlights the connection between mathematical concepts and practical product design in the food industry

Pressure vessels are critical components in the energy industry, used to store and process high-pressure fluids. The structural reliability of these vessels plays a pivotal role in ensuring operational safety and system efficiency. This study aims to analyze the design and reliability of pressure vessels using both numerical and experimental approaches to optimize performance and enhance safety factors. The numerical method was conducted through Finite Element Analysis (FEA) using ANSYS software to evaluate stress distribution, stress concentration, and potential failure modes under various operational load scenarios. Meanwhile, the experimental method involved hydrostatic pressure testing, strain measurements using strain gauges, and displacement analysis to validate the numerical simulation results. Data were collected from simulations and laboratory experiments, then analyzed quantitatively by comparing key parameters such as stress distribution, deformation patterns, and safety factors against industry standards. The results indicate that combining numerical and experimental approaches improves the accuracy of pressure vessel behavior predictions, enables more efficient design optimization, and enhances structural reliability. In conclusion, the methods applied in this study can serve as a reference for developing safer, more efficient pressure vessel designs that comply with industrial standards, thereby supporting improved safety and operational efficiency in the energy sector.

 This research is motivated by the problem of customer receivables that are delayed in payment, so that an accounting information system is needed as a means of control to ensure that the collection procedure runs effectively and efficiently. Using a qualitative descriptive method with observation, interviews, and documentation. The results of the study indicate that the Indihome and Indibiz collection procedures by the Billing and Payment Collection unit are in accordance with the company's SOP.

This research investigates the implementation of Random Forest algorithms combined with Synthetic Minority Over-sampling Technique (SMOTE) to predict elementary school dropout rates in Indonesia, supporting the Indonesia Emas 2045 vision. A significant gap was identified in previous studies, which, despite utilizing artificial intelligence for dropout interventions, had not integrated temporal dimensions into data analysis. A temporal data-based classification model was developed using Indonesian Ministry of Education data from 2021-2023, incorporating lag features, delta calculations, and rolling statistics. Two models were implemented: one with SMOTE achieving 99% accuracy with perfect recall for high-risk regions, while the non-SMOTE model reached 100% accuracy. Temporal features were identified as crucial predictors, reflecting external fluctuations and annual changes impacting dropout decisions. This approach enables educational institutions to allocate resources more efficiently by prioritizing operational assistance for high-risk schools. The model's capacity to identify high-risk regions with 100% recall represents a strategic investment in strengthening Indonesia's human resource sustainability. To address the limitations of provincial aggregate data, expansion to include individual-level variables and model validation at district or school scales is recommended for future research.

This study aims to analyze the relationship between the tax transportation system and the level of taxpayer compliance. In the context of tax administration modernization, tax transportation refers not only to physical mobility but also to the efficient mechanism of digitalization and distribution of tax information. The implications of an effective tax transportation system include increased transparency, easy access to tax information, and acceleration of the reporting process. This study examines how optimizing tax infrastructure, such as online reporting systems, mobile tax education, and integration between agencies, can encourage voluntary and formal compliance levels. Data were obtained through a quantitative approach by distributing questionnaires to individual and corporate taxpayers in several major cities. The results of the analysis show that there is a significant positive correlation between tax transportation efficiency and taxpayer compliance. This study recommends strengthening the tax information and technology system as a strategic step in improving national tax compliance.

Lobbying and negotiation are two vital communication strategies in decision-making processes, both within organizational and public policy domains. This study aims to examine how lobbying and negotiation practices function as strategic communication tools to enhance the effectiveness of stakeholder relationships. The study presents 20 citations from scholarly journal articles as the basis for analysis. A descriptive qualitative literature study method was used. The findings indicate that both lobbying and negotiation contribute to the creation of more inclusive, efficient, and adaptive decisions in strategic environments.

This study examines business organization planning and human resource management in an effort to form an entrepreneurial spirit. The main goal is to understand how human resource management can contribute to the achievement of business goals and create resilient entrepreneurs. The method applied is a literature study by analyzing various literature related to business organizational planning, human resource management, and entrepreneurship. The results of the study show that careful planning and good human resource management can have a significant impact on organizational success while supporting the achievement of entrepreneurial goals efficiently.

The partners for this community service activity are UMKM which are engaged in goat slaughtering. One of the problems faced is that the process of removing goat skin is still manual, that is, it still uses human labor, where using human power for the goat skinning process requires less efficient time. Therefore, these UMKM really need a touch of technology related to the goat skin removal method to overcome the problems of UMKM engaged in the business of slaughtering goats and selling goat meat. Therefore, in community service activities, goat skin pulling machines will be handed over to partner entrepreneurs, namely MSMEs. Mak Ngat at the Rasmala market in the Srondol Wetan housing complex, Banyumanik sub-district, Semarang city. Impact After using a goat skin pulling machine for Mak'Ngat UMKM, the goat skinning process is more economical, namely when done manually it can skin 12 goats in one hour, but when done using a machine, 12 goats can be done in 15 minutes and this number has increased drastically

This community service program aims to enhance the productivity and welfare of local farmers through the optimization of male layer chicken production. Male chickens, often considered by-products of the laying hen industry, are generally overlooked and regarded as less economically viable. However, with the application of appropriate farming strategies, male chickens can become an important alternative source of protein to support food security. The methods implemented in this program include training on poultry management, the use of efficient locally-based feed, and the development of marketing strategies for the production output. The results of the program show a significant improvement in both productivity and the efficiency of male layer chicken farming among local farmers. With ongoing support, this program is expected to become a sustainable empowerment model in the small-scale livestock farming sector.

This community service program aims to enhance the productivity and welfare of local farmers through the optimization of male layer chicken production. Male chickens, often considered by-products of the laying hen industry, are generally overlooked and regarded as less economically viable. However, with the application of appropriate farming strategies, male chickens can become an important alternative source of protein to support food security. The methods implemented in this program include training on poultry management, the use of efficient locally-based feed, and the development of marketing strategies for the production output. The results of the program show a significant improvement in both productivity and the efficiency of male layer chicken farming among local farmers. With ongoing support, this program is expected to become a sustainable empowerment model in the small-scale livestock farming sector.

This study aims to analyse the quality of public services in Kelurahan Blabak using the SERVQUAL dimensions, so as to provide a comprehensive picture of the level of community satisfaction and provide input for improving service quality in the future. This research uses descriptive qualitative method to analyse the quality of public services in Blabak Village, Kediri City, based on the five dimensions of SERVQUAL. Data were collected through interviews, observations, and documentation, then analysed using interactive analysis with triangulation for data validity. The results showed that public services in Blabak Village, Kediri City, showed a fairly good quality based on the five dimensions of SERVQUAL. In terms of tangibles, facilities such as computers, printers, and internet networks are well available. However, limited space and seating are still an obstacle in providing comfort for the community. In reliability, administrative services, especially the processing of population documents, run quite reliably, especially with the presence of the SAKTI application which facilitates online processing and reduces queues. The responsiveness dimension is reflected in the readiness of officers to serve and respond to the needs of the community, although sometimes it is still constrained by technical problems such as internet networks. In the assurance dimension, people feel safe because the officers show a friendly and professional attitude, in accordance with the motto ‘Salam, Sapa, Senyum,’ which creates a warm and pleasant service atmosphere. Meanwhile, empathy can be seen from the officers' concern for the community, despite the limited number of personnel and diverse educational backgrounds, they still try to serve optimally. Thus, despite the challenges, public services in Blabak Village have run quite optimally. However, improvements are needed in terms of infrastructure and the number of officers so that services can be more comfortable, fast, and efficient.

This study aims to evaluate the completeness of inpatient daily census data and its impact on bed utilization efficiency at Assyifa Hospital Sukabumi using the 5M framework (Man, Machine, Method, Material, Money). Accurate inpatient census recording is essential for effective hospital management, particularly in optimizing bed occupancy rates and ensuring efficient resource allocation. However, issues related to incomplete data entry often lead to inaccuracies in bed utilization monitoring. By applying a qualitative descriptive approach, this research explores various factors influencing census completeness and their implications for bed usage. Data were collected through interviews, observations, and documentation, involving 37 nurses responsible for census recording. The findings reveal that human factors such as workload and understanding of standard operating procedures, technological limitations, procedural inconsistencies, inadequate supporting materials, and insufficient financial support are significant contributors to census incompleteness. Recommendations include enhancing staff training, improving technological systems, clarifying standard procedures, ensuring adequate materials, and allocating sufficient funding. This study provides valuable insights for hospitals aiming to improve their data recording processes and optimize resource utilization effectively.

Accurate elevation determination is one of the crucial aspects in oil and gas exploration activities, especially in the planning and management of well areas. This study aims to identify and compare the elevation of the Digital Terrain Model (DTM) obtained from aerial photography with terrestrial measurements, and to convert Digital Surface Model (DSM) data into DTM. The urgency of this study is driven by the need for accurate, efficient, and economical mapping methods, as well as validation of the methods used in topographic mapping. Digital Terrain Model (DTM) is a virtual model that adds elements such as fault lines and observations to correct artifacts from the original data, while DSM includes the height of all objects on the ground surface. The results showed that the largest elevation value in the aerial photo DTM was 14.416 meters at point L06 and the smallest elevation value was 6.567 meters at point A46, with an average elevation of 13.716 meters. Meanwhile, the comparison results of DTM elevation of aerial photography with terrestrial measurements showed the largest difference of 5.513 meters at point A46 and the smallest difference of -2.682 meters at point L21, with an average difference of 0.072 meters. The level of vertical accuracy (Z) based on the LE90 value is 0.2076 meters, which meets the geometric accuracy standard of 1:1000 class 1 scale according to BIG Regulation Number 15 of 2014. The results of this comparison are also supported by a 3D model of DTM elevation of aerial photography. This study provides an important contribution to the validation and improvement of the efficiency of topographic mapping methods based on aerial photography, as well as providing an overview of the accuracy of the data produced.    

This study aims to analyze the survival strategy applied by Warung Lucau Angkringan, a Micro, Small, and Medium Enterprise (MSME) in the culinary sector in Banyuwangi, in the face of increasing intensity of market competition. Carrying the concept of angkringan based on Osing local culture, Lucau Angkringan offers differentiation through signature dishes such as Sambal Lucau and Ayam Kesrut Lucau. However, limitations in marketing strategy, unclear market segmentation, and competition with large-scale restaurants are the main obstacles in developing its business. Through the Segmenting, Targeting, and Positioning (STP) approach, this research shows that Lucau Angkringan can identify and segment the market more effectively, and focus its marketing strategy on local consumers and tourists seeking authentic culinary experiences. In addition, innovations in digital marketing and efficient operational management are needed to improve competitiveness and expand market reach. The results of this study indicate that the proper implementation of STP strategies, accompanied by the optimization of digital marketing, can support the sustainability and growth of Warung Lucau Angkringan amidst the competitive culinary industry.    

Learning strategies play a vital role in determining the success of the educational process, particularly in achieving learning objectives effectively and efficiently. This article aims to comprehensively examine fundamental concepts of learning strategies by addressing five main research questions: (1) what is the definition of learning strategies? (2) how are models, approaches, strategies, methods, and techniques of learning interrelated? (3) what are the classifications of learning strategies? (4) what are the essential components of a learning strategy? and (5) what considerations are important in selecting an appropriate learning strategy? Using a descriptive-qualitative approach, this article draws upon various educational literature, both classical and contemporary, to formulate a comprehensive understanding of learning strategies. The discussion on the definition highlights that a strategy is not merely a technical step but also a pedagogical framework that reflects a systematic way of thinking. Furthermore, this article emphasizes the importance of understanding the interconnectedness of learning models (conceptual frameworks), approaches (philosophical orientations), strategies (overall plans), methods (procedural steps), and techniques (practical actions) in order for educators to design cohesive and holistic learning processes. The classification of learning strategies is discussed based on the learning approach used, such as expository, inquiry-based, cooperative, contextual, and problem-based strategies—each with its own advantages and challenges. The article also identifies key components of learning strategies, including learning objectives, student characteristics, materials, media, methods, and evaluation. In choosing the appropriate strategy, the author highlights the need to consider factors such as learning goals, learner characteristics, available resources, and the socio-cultural context of the learning environment, particularly within the framework of Islamic education. The findings of this study are expected to contribute both theoretically and practically to the development of more contextual, adaptive, and relevant learning designs, especially for educators and prospective teachers within Islamic State Universities.    

The aim of this study is to evaluate the effectiveness of the learning process. Based on observations of teacher activities during Cycle I, teacher engagement increased from 65% in the first meeting to 81% in the second meeting. This improvement indicates that teacher activity falls within the "good" category. However, not all observed indicators were fully met in each session. In contrast, student activity during the learning process was categorized as "fair," with 61% in the first meeting and 75% in the second meeting. The results of the action test in Cycle I showed that classical learning mastery reached only 36%, which did not meet the predetermined target of 85%. The classical absorption rate was 63%, also falling short of the expected 65%. Out of all students, 8 achieved learning mastery, while 14 did not. This was primarily due to a lack of motivation and limited understanding of the concepts being taught. Based on the observations of both teacher and student activities and the Cycle I test results, the researcher proceeded with Cycle II in an effort to make the learning process more effective and efficient. The teacher made efforts to reflect on and address the shortcomings from Cycle I.

Efficient and accurate fuel management systems are becoming increasingly important as energy needs and operational complexity increase in various industrial sectors. This study aims to design and implement a fuel flow monitoring and control system using a variable control valve. This system allows real-time monitoring of the level and flow of fuel in the service tank on the ship, as well as automated control. In its implementation, ultrasonic sensors, control valves are combined with LM2596 connected to Arduino nano for data collection, analysis and visualization. The test results show that this system is able to provide accurate data on the flow and level of fuel in the service tank on the ship by displaying the measurement results on the LCD and providing warnings via a buzzer. The LCD display shows the reading of the fuel level and valve opening in the tank. At a fuel level of 0 - 25% the valve will open 100% and requires an average filling time of 25 seconds, At a fuel level of 25% - 50% the valve will open 75% and requires an average filling time of 27 seconds, At a fuel level of 50 - 75% the valve will open 50% and requires an average filling time of 30 seconds, At a fuel level of 75 - 99% the valve will open 25% and requires an average filling time of 32 seconds.

The increasing waste problem requires innovative solutions that are efficient and sustainable. This study aims to design and build an Internet of Things (IoT) based garbage cleaning robot that can be monitored and controlled remotely. This system is designed by utilizing a microcontroller as the main brain, sensors to detect the presence of garbage, and an IoT-based communication module that allows monitoring and control of the robot via mobile devices or the web. Based on the results of the analysis and testing carried out, this study shows that the use of ESP8266 in the RC Trans Robot motor control with the Blynk application has succeeded in significantly increasing system efficiency. The system successfully responds to user input via a mobile application and can control the movement of the robot in real-time. The performance of the robot system controlled via a WiFi network shows good stability in various test scenarios. The robot can operate effectively within a distance that matches the range of the WiFi network, with fast control response and reliable communication.

The Tax Court has a crucial role in resolving tax disputes and optimizing state revenues. This study aims to analyze the effectiveness of the Tax Court in providing legal certainty for taxpayers and identifying obstacles that hinder its role in the Indonesian taxation system. The method used is a normative legal approach with an analysis of laws and regulations, court decisions, and related empirical data. The results of the study indicate that the dualism of guidance between the Supreme Court and the Ministry of Finance creates the potential for a conflict of interest that can affect the independence of judges in deciding tax disputes. In addition, limited access to the Tax Court, which is only located in Jakarta, causes obstacles for taxpayers in the regions to obtain justice quickly and efficiently. The policy of administrative sanctions in the form of a 100% fine for taxpayers whose appeals are rejected is also considered disproportionate and contrary to the principle of tax justice. To improve the effectiveness of the Tax Court, institutional reform is needed by unifying guidance under the Supreme Court, establishing Tax Court branches in various regions, and revising regulations related to tax sanctions in order to improve taxpayer compliance and trust in the national taxation system.

Afghanistan, often called a "geological treasure trove," is richly endowed with vast mineral deposits worth over $3 trillion. The minerals, including copper, lithium, iron, gold, and rare earths, can be used to resurrect the nation's economy, reduce dependence on foreign aid, and bring about political stability. However, three decades of conflict, political turmoil, corruption, and inadequate infrastructure have been a hindrance to the effective exploitation of the resources. This paper examines the role of mining in Afghanistan's economic and political development, distilling the opportunities and challenges in the industry. Drawing on comparative case studies from resource-rich countries like Botswana and Chile, the study highlights the importance of open government, robust regulatory institutions, and strategic foreign partnerships. The evidence suggests that an efficiently operated mining sector would be a driver of sustainable development, provided that Afghanistan addresses deep-seated systemic evils in the form of corruption, insecurity, and environmental degradation. The research concludes with policy imperatives aimed at maximizing the contribution of the sector to national development.