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This study aims to examine the role of youth organizations (Karang Taruna) in the development of the Grujakan Tluvalley tourist attraction in Barong Kulon Hamlet, Candi Village, Pacitan Regency, with a focus on their involvement in the management and development of community-based tourism (CBT). The research employs a qualitative approach with a case study design, where data were collected through semi-structured interviews, participatory observation, and documentation involving youth members, tourism managers, and the local community. The findings indicate that youth play an important role in operational management, digital promotion, and community-based tourism activities, supported by strong values of mutual cooperation and natural resource potential. However, several challenges remain, including limited funding, lack of training opportunities, and inadequate infrastructure. These findings highlight that youth act not only as implementers but also as key drivers and innovators, emphasizing the need for capacity building through continuous training and institutional support. Theoretically, this study enriches the discourse on youth participation in tourism, while practically providing recommendations for village governments and stakeholders.

This research aims to analyze the protection of state forest areas against unauthorized forest product collection in Pasangkayu Regency, specifically from the perspective of preventive and repressive legal protection. The research method used is normative juridical with a descriptive-analytical nature, utilizing secondary data collected through literature studies. The results indicate that forest area protection in Pasangkayu Regency is currently still dominated by a repressive approach, namely legal actions taken after violations occur, such as enforcement operations and criminal proceedings. However, this approach has proven ineffective in providing a maximum deterrent effect due to the high rate of violations triggered by low legal awareness and the community's economic dependence on forest products. Meanwhile, preventive efforts such as monitoring and legal counseling have not operated optimally due to limitations in human resources and budget. Therefore, a balance between preventive and repressive approaches is required, along with strengthening community participation through economic empowerment to enhance the effectiveness of forest protection.

Coal stockpile volume measurement is an essential part of mining production control. This study aims to evaluate the calculation of coal stockpile volume using a Total Station (TS) at PT. Bukit Baiduri Energi, Kutai Kartanegara Regency, East Kalimantan Province, and to assess the accuracy and effectiveness of this method in operational activities. Data acquisition was carried out through direct field measurements using a Total Station with a detailed surface point survey method. The collected data were processed using Minescape 5.7 software to generate a triangulated surface model, and the volume was calculated using the Cut and Fill method. The results show that the Total Station method produced a stockpile volume of 21,069.15 m³ with a high level of accuracy due to direct field measurement. This method provides advantages in elevation data accuracy; however, it requires relatively more time and manpower during the data acquisition process. Based on these findings, the use of Total Station is recommended for stockpile volume calculations that require high accuracy, particularly for production evaluation and coal reserve reporting.

This study explores the development strategies of sweet pastry Micro, Small, and Medium Enterprises (MSMEs) based on Islamic economic principles in improving the local economy in Betungan, Bengkulu City. MSMEs play a crucial role in supporting economic growth and creating employment opportunities, particularly in the culinary sector, which has experienced significant expansion in recent years. In Betungan, sweet pastry businesses have shown promising potential; however, their development is still hindered by several challenges, including limited capital, low product innovation, and less effective marketing practices. This research employs a qualitative approach with a case study method. Data were collected through observation, interviews, and documentation at Jl. Ar-Rahman, Sepakat 7, Betungan, Selebar District, Bengkulu City. The study also considers the application of Islamic business values, emphasizing ethical conduct such as honesty, fairness, accountability, and the avoidance of riba and uncertainty in transactions. The findings indicate that the sustainability and competitiveness of sweet pastry MSMEs can be enhanced through several key strategies, including continuous product innovation, improving product quality, optimizing digital marketing, and strengthening business networks. In addition, integrating Islamic principles into business operations helps build consumer trust and ensures ethical business practices. Overall, these strategies not only improve business performance but also contribute to strengthening the local economy and community welfare.

The shaft is a crucial component in mechanical systems because it serves to transfer power and rotational motion throughout the machine. This research aims to assess the structural strength and operational performance of shafts used in a tire shredding machine through numerical simulation methods in order to achieve a safe and efficient design. The study involved several stages, including the development of shaft geometry models, the determination of boundary conditions, load application, mesh generation, and stress analysis using the finite element method. Two shaft configurations were examined: a 59 mm diameter shaft made from AISI 1045 steel and a 49 mm diameter shaft manufactured from ASTM A36 steel. The simulation results indicate that the 59 mm shaft experiences a Von Mises stress of 8.9 × 10⁻⁵ MPa, with a maximum displacement of 0 mm and a safety factor of 15. Similarly, the 49 mm shaft shows a Von Mises stress of 8.4 × 10⁻⁵ MPa, no measurable displacement, and a safety factor of 15. These findings confirm that both shaft designs are capable of safely withstanding the applied working loads. In addition, cutting system tests revealed that a 24-tooth blade achieved an efficiency of 26.9%, while a 40-tooth blade reached only 22.3%, indicating that the 24-tooth configuration provides better performance.

The use of moldboard plows in agricultural land preparation often faces wear problems on the share component, leading to increased maintenance time and reduced operational efficiency. This study aims to design and analyze a modular concept for the plow share to improve maintenance and repair efficiency without compromising structural performance. The research methods include field observation, component dimension measurement, design modeling using CAD software, and structural analysis using the Finite Element Analysis  (FEA) method. In addition, maintenance ease was evaluated through a questionnaire based on a rating scale. The results show that the modular design significantly improves maintenance and repair efficiency, with an average score of 4.59 categorized as very good. Structural analysis indicates that the modular design reduces maximum stress on the moldboard and slightly decreases deformation, reflecting improved structural stiffness compared to the conventional design. However, the Safety Factor on the share component remains below the acceptable limit, indicating the need for further development. Overall, the modular design provides an effective solution to enhance maintenance efficiency while maintaining the structural performance of the moldboard plow.

This research deconstructs the manipulative architecture in the propaganda trilogy of the Japanese Army in 1942, namely Nippon Tjahaja Asia, Nippon Pelindoeng Asia, and Nippon Leader Asia, which have often been reduced to mere political euphemisms. With a descriptive-qualitative design, this study integrates Malcolm Coulthard and Alison Johnson's parameter-based Forensic Linguistics as the grand theory, as well as the three-dimensional model of Norman Fairclough's Critical Discourse Analysis (AWK) as an operational analysis instrument. The results of the analysis show that lexical manipulation through the messianic triptych "Light, Protector, Leader" and the use of assertive clauses without copula are engineered to produce false consciousness. Forensic Linguistic Parameters confirm the existence of a planned mens rea (malicious intent) from Sendenbu, with an extreme disparity between commissive speech in the form of a promise of protection and military actus reus in the form of romusha slavery and logistical seizure. This condition fulfills the elements of mass deception. Furthermore, the doctrinal repetition of the slogan is a form of linguistic coercion that exploits power asymmetry to castrate the people's critical reasoning. In conclusion, the invasion of Japanese fascism in Indonesia did not only take place through military equations, but also through a cognitive dictatorship based on language fabrication. This study is relevant as a historical mirror for detecting the anatomy of structural lies in the contemporary post-truth era.

Libraries play a crucial role in broadening the public's knowledge horizons by improving literacy skills. However, the reality at the Samaturu Library in Jambu Malea Village shows that manual management still dominates, leading to various administrative obstacles such as data irregularities, the risk of losing important information, and inefficiencies in tracking daily activities. This condition demands digital transformation to optimize public services at the village level comprehensively and sustainably. This research focuses on the development of a web-based library information system specifically designed to modernize administrative processes to be more systematic, fast, and organized. Built using the PHP programming language and MySQL database, this platform offers an intuitive interface for both staff and members. Its superior features include book data management, membership, activity agendas, announcements, and digitizing the borrowing and return process. Furthermore, the system is capable of automatically generating periodic reports to facilitate library performance evaluation. Based on the results of comprehensive testing using the Black Box Testing method, all system functionality was proven to operate optimally according to the required specifications. Direct user trials also showed very positive responses regarding aspects of ease of navigation and operational time efficiency. The implementation of this system is expected to improve the effectiveness of internal management, accelerate the quality of services to library users, and become a major catalyst in realizing superior digital literacy governance in rural areas

This study aims to analyze the financial distress condition of PT Garuda Indonesia (Persero) Tbk during the period 2015–2024 using the Springate and Grover models. The research employs a quantitative descriptive approach with secondary data obtained from the company’s annual financial statements. Financial distress analysis is conducted by calculating financial ratios included in each model to describe the company’s financial condition over the observation period. The results indicate that PT Garuda Indonesia (Persero) Tbk experienced financial distress during several periods, particularly before and during the COVID-19 pandemic, which was reflected in weakened liquidity, declining profitability, and reduced efficiency in asset utilization. However, following the financial restructuring process after 2021, both the Springate and Grover models show an improvement in the company’s financial condition, indicating a transition toward a more stable non-distress status. Although the Springate and Grover models use different financial indicators and classification approaches, both are able to descriptively capture the dynamics of financial distress experienced by the company. The differences in classification results reflect the distinct focus of each model, where the Springate model is more sensitive to liquidity and operational performance, while the Grover model emphasizes asset profitability. Therefore, the combined use of both models provides a more comprehensive overview of the financial distress condition of PT Garuda Indonesia (Persero) Tbk during the research period.

The development of Micro, Small, and Medium Enterprises (MSMEs) in the traditional culinary sector in Dumai City has shown significant growth, particularly in bolu kembojo products. Increasing competition requires business actors not only to focus on product quality but also to implement business ethics in their operations. This study aims to analyze the role of business ethics in enhancing customer loyalty toward bolu kembojo MSME products in Dumai City. This research employs a qualitative approach using a case study method, with informants consisting of MSME owners and consumers selected purposively. Data collection techniques include interviews, observations, and documentation, while data analysis is conducted using an interactive model involving data reduction, data display, and conclusion drawing. The findings indicate that the implementation of business ethics, such as honesty, responsibility, and good service, can enhance customer trust and satisfaction. These factors subsequently encourage repeat purchases and positive word-of-mouth recommendations. The implication of this study suggests that the application of business ethics is a crucial strategy for MSMEs in strengthening customer loyalty and sustaining business continuity.

 This study was conducted to evaluate the influence of Total Asset Turnover (TATO), Debt to Equity Ratio (DER), and Net Profit Margin (NPM) in predicting stock return fluctuations. The study focuses on retail sector issuers listed on the Indonesian Stock Exchange (IDX) between 2021 and 2024. Through the application of panel data regression analysis, the study determined that the Common Effects Model (CEM) is the most appropriate estimation method. This decision was made based on a series of tests including the Chow Test and the Lagrange Multiplier. Although classical assumption testing showed symptoms of heteroscedasticity, this problem was addressed using the EGLS (cross-sector weighting) Panel method to ensure the validity of the estimates. Based on partial testing, it is found that TATO and NPM variables have a positive and significant contribution to stock returns, while DER is found to have no significant effect. Collectively, all independent variables had a significant effect, with the Adjusted R-Square value reaching 27.80%. This indicates that for investors in the retail sector, profitability and operational efficiency are important indicators in making investment decisions.

The management of ethical drug inventory is a crucial aspect of supporting the smooth delivery of healthcare services in hospitals. Improper management of ethical drugs can lead to stockouts or overstock, which results increased operational costs and the risk of drug expiration. This study aims to analyze the inventory control of ethical drugs at RSUD Inche Abdoel Moeis Samarinda using the Economic Order Quantity (EOQ), Safety Stock, and Reorder Point methods. The data used in this study are the consumption of ethical drugs during 2024, obtained from the hospital’s Pharmacy Installation. The data analysis method involves calculating ordering and holding costs, determining the optimal order quantity using EOQ, and calculating Safety Stock and ROP to maintain drug availability during lead time. The results of this study indicate that the application of the EOQ method provides a more optimal and efficient order quantity compared to previous policies. Furthermore, Safety Stock and ROP calculations assist the hospital in preventing ethical drug shortages and creating a more structured ordering schedule. Thus, the implementation of EOQ, Safety Stock and ROP methods can improve the efficiency of ethical drug inventory management while supporting the continuity of healthcare services at RSUD Inche Abdoel Moeis Samarinda.

This study aims to analyze the effect of production costs and sales volume on profit with firm size as a moderating variable in food and beverage sector companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period. This study used a quantitative approach with an associative research design. The data used were secondary data obtained from annual financial statements of food and beverage companies listed on the IDX. The sampling technique used purposive sampling and obtained 110 observations. The analysis method employed was Moderated Regression Analysis (MRA) using IBM SPSS Statistics. The results of the study indicate that production costs do not have a significant effect on company profit. Meanwhile, sales volume has a positive and significant effect on profit. Firm size has a negative and significant effect on profit. Furthermore, firm size is unable to moderate the relationship between production costs and profit as well as the relationship between sales volume and profit. The coefficient of determination test shows that the independent and moderating variables are able to explain 56.8% of the variation in company profit, while the remaining 43.2% is explained by other variables outside the research model. This study implies that companies need to focus more on increasing sales volume and improving operational efficiency to enhance profitability.

Suboptimal waste management has become a serious problem in local communities, even though inorganic waste has high economic potential if managed wisely. In Tegalsari Village, Ambulu Subdistrict, waste management needs to be strengthened through a financial approach. This community service activity aims to empower the economy of Tegalsari Village residents by revitalizing the management of the waste bank so that it provides direct economic value that can increase household income. The implementation of this activity was carried out through a planning phase that included program coordination meetings, the formation and revitalization of the management structure, educational outreach on the economic value of waste, and a partnership collaboration with the Karya Mandiri Jember Central Waste Bank (BSI). Furthermore, the operational implementation phase includes the sorting of inorganic waste by residents in their respective homes, weighing, recording financial transactions in customer savings books, and transporting the waste to collectors. The results of these activities demonstrate the establishment of a more organized management system and an increase in residents’ active participation in waste sorting. The profit-sharing system for customer savings from waste sales has proven effective in boosting residents’ enthusiasm, enabling the program to tangibly transform waste into income while strengthening the domestic economic resilience of the Tegalsari Village community.

Waste management remains a critical environmental issue due to the lack of public awareness in separating organic and inorganic waste, resulting in accumulation and environmental pollution This study aims to analyze and evaluate the development of automatic waste sorting systems based on proximity sensors with full-capacity notification using a Systematic Literature Review (SLR) approach.. The proposed system utilizes a combination of sensors, including proximity sensors for material identification and ultrasonic sensors for detecting object presence and bin capacity, integrated with a microcontroller for real-time processing. Additionally, the system is equipped with IoT-based monitoring that allows users to receive notifications when the waste bin reaches its capacity. The research method involves system design, hardware and software integration, and functional testing to evaluate system performance. The results indicate that the system is capable of sorting waste automatically with a high level of accuracy and responsiveness, while also providing real-time monitoring to support waste management operations. The implementation of this system can reduce manual intervention, increase operational efficiency, and promote better waste segregation practices. Furthermore, this study highlights the potential of integrating smart technology into environmental management systems, contributing both theoretically and practically to the development of sustainable waste management solutions.

This study aims to analyze the influence of digital leadership, digital transformation, and circular economy practices on the economic performance of weaving SMEs and their contribution to the achievement of the Sustainable Development Goals (SDGs). This study employed a quantitative approach with an explanatory research design. Data were collected from 98 weaving SME owners or managers through questionnaires and analyzed using validity testing, reliability testing, classical assumption tests, and linear regression analysis. The findings show that digital leadership has a positive and significant effect on the economic performance of weaving SMEs. Digital transformation also has a positive and significant effect by expanding market access, improving operational efficiency, and strengthening customer relationships. In addition, circular economy practices have a positive and significant effect through resource efficiency, production waste reduction, and the creation of added value from residual materials. These findings indicate that the integration of digital leadership, digital transformation, and circular economy practices is a strategic approach to enhancing the competitiveness of weaving SMEs while supporting the achievement of the SDGs. This study contributes to the development of cultural-based SME studies by positioning digitalization and sustainability as key foundations for strengthening local economic performance.

Abstract This study aims to analyze the level of digital literacy among students of the Islamic Religious Education (PAI) study program at State Islamic Higher Education Institutions (PTKIN) and its implications for the quality of their understanding of fiqh al-ibadah. Employing a descriptive qualitative approach with data collection techniques comprising comprehensive literature study and analysis of student digital behavior trends, this research identifies two poles interacting dynamically: on one hand, the expansion of access to religious content through digital platforms has opened unprecedented opportunities for democratizing Islamic jurisprudence knowledge; on the other, the tendency toward instant content consumption potentially reduces depth of understanding of ijtihad methodology and classical fiqh epistemology. Findings indicate that PAI students generally possess adequate technical digital skills, yet remain weak in the critical literacy dimension namely the ability to evaluate the validity, authority, and religious context of digital sources. This phenomenon produces a literacy paradox: students who appear "digitally literate" operationally are paradoxically vulnerable to fragmented and superficial fiqh understanding. This study recommends integrating critical digital literacy education into the PAI curriculum at PTKIN  not as an elective add-on, but as a core competency embedded inseparably within the broader process of fiqh learning. Only through this approach can PAI students leverage digital platforms optimally as tools that strengthen, rather than replace, the structured and methodological tradition of Islamic scholarship

This study implements the Damerau-Levenshtein algorithm for an Indonesian spelling checking and correction system based on the distance editing approach. The main objective of this study is to develop a system capable of automatically detecting and correcting spelling errors at the character level through a matching process against the KBBI dictionary and the Indonesian corpus. The methods used include data collection, text pre-processing, system design, and implementation of the Damerau-Levenshtein algorithm which includes insertion, deletion, substitution, and transposition operations. Testing was conducted using 25 test data consisting of standard words and modified words for typographical errors. The results show that the system is able to measure all test data with an accuracy level of 100% on a limited dataset. In addition, the average Damerau-Levenshtein Distance value of 0.84 indicates that most errors are in the light category. Evaluation using a confusion matrix produces precision, recall, and F1-score values ​​of 100% each. These results indicate that the Damerau-Levenshtein algorithm is effective in handling character-based spelling errors. However, the system still has limitations in handling complex semantic contexts and language variations. Therefore, further research is recommended to integrate language model-based approaches to improve the system's accuracy and generalization on real-world data.

The dynamics of the global coffee industry during the 2024–2026 period were characterized by significant fluctuations that placed Starbucks in a vulnerable position due to multidimensional reputation crises, ranging from geopolitical sentiments to industrial relations tensions. This study aims to analyze the effectiveness of Public Relations (PR) management strategies and integrated media models in restoring brand equity post-crisis. The research method applied is descriptive qualitative with a conceptual analysis approach, relying on digital literature studies and the collection of secondary data from international reputation research firm reports and credible mass media documentation. The research results indicate that the drastic decline in the Brand Strength Index was successfully mitigated through a strategic narrative transition from service efficiency toward the reinforcement of the original "The Third Place" identity. The utilization of data-driven Owned Media channels through loyalty applications proved to be the most crucial instrument in maintaining consumer retention amidst the global boycott. The research conclusion emphasizes that brand resilience in the era of digital volatility depends not only on rhetoric but on the synchronization between adaptive leadership, operational transparency, and the integration of an agile PESO communication model. This study provides a theoretical contribution regarding the importance of managing "reputation capital" through consistent sustainability commitments to maintain a balance between profitability and corporate communication ethics in an increasingly polarized global market

This study implements the Damerau-Levenshtein algorithm for an Indonesian spelling checking and correction system based on the distance editing approach. The main objective of this study is to develop a system capable of automatically detecting and correcting spelling errors at the character level through a matching process against the KBBI dictionary and the Indonesian corpus. The methods used include data collection, text pre-processing, system design, and implementation of the Damerau-Levenshtein algorithm which includes insertion, deletion, substitution, and transposition operations. Testing was conducted using 25 test data consisting of standard words and modified words for typographical errors. The results show that the system is able to measure all test data with an accuracy level of 100% on a limited dataset. In addition, the average Damerau-Levenshtein Distance value of 0.84 indicates that most errors are in the light category. Evaluation using a confusion matrix produces precision, recall, and F1-score values ​​of 100% each. These results indicate that the Damerau-Levenshtein algorithm is effective in handling character-based spelling errors. However, the system still has limitations in handling complex semantic contexts and language variations. Therefore, further research is recommended to integrate language model-based approaches to improve the system's accuracy and generalization on real-world data.