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This study examines the impact of green talent management practices on HR performance quality in eco-friendly hotels in Central Java, Indonesia, using a phenomenological approach. Through in-depth interviews with 24 participants across six star-rated hotels, direct observation, document analysis, and focus group discussions, the research explores how green HRM practices influence employee performance and career development opportunities for young talent. The findings reveal that eco-friendly hotels have implemented various green talent management practices including environmentally-conscious recruitment, sustainability training, green performance management, and employee involvement in environmental initiatives. These practices positively impact multiple dimensions of employee performance: task performance through improved resource efficiency; contextual performance through enhanced teamwork; adaptive performance through increased innovation capability; and environmental performance through strengthened pro-environmental behaviors. The effectiveness of these practices is influenced by top management commitment, integration with business strategy, training quality, organizational culture, and resource availability. Young employees perceive involvement in green initiatives as valuable for developing leadership skills, expanding professional networks, and enhancing market competitiveness, although they identify the need for clearer sustainability-focused career paths. The study contributes to GHRM and talent management literature by explicating the mechanisms linking green talent management with performance outcomes in the hospitality industry context, while providing practical implications for hotel managers seeking to enhance both environmental sustainability and human resource performance. The research underscores the importance of a holistic approach to green talent management that aligns environmental priorities with employee development and organizational strategy.

This research aims to describe the validity, practicality and capability of student learning outcomes using Contextual Teaching and Learning (CTL) based learning modules . The test subjects in this research involved 20 class X students of SMA Negeri 1 Tilango for the 2023/2024 academic year. The CTL-based module developed refers to the ADDIE (Analysis, Design, Development, Implementation, Evaluation) development model which is limited to the limited-scale trial development stage. The research results based on the CTL-based Module show the feasibility value of the valid criteria, the practicality of obtaining a score in the score range of 81%-100%, the learning outcomes of students using the N-Gain formula obtain a percentage value of 0.61% with medium criteria, so that the CTL-based Module is developed suitable for use as a learning medium to improve student learning outcomes on interaction material in ecosystems in class X SMA Negeri 1 Tilango.

E-Learning becomes a platform which supports technology-based learning on many aspects. The usage of E-Learning becomes the main choice especially in education world. SMK TI Bali Global Jimbaran, which is a middle level vocational school, utilizes this platform in its learning process. In its implementation process, there needs to be a precise and thorough supervision to ensure that the system runs according to business goals. This mapping is conducted to know the process used for measurements. This mapping is done by framework with COBIT 5 by applying PAM (Process Assessment Model), which is adjusted with the condition on research place. The activity measurement are derived from several domains on COBIT 5 with mapping process based on the business goals and institution goals. The domains used are EDM03, AP003, BAI07, DSS05 and MEA01. The results of governance measurement process on current capability level is on level 4 (predicable process) and the expected capability level is on level 5 (Optimizing Process) which has gap value of 2 level.

 Central Java was recorded as the area with the highest fire rate in the period from January 1 to July 24 2023, with 637 cases recorded. In 2018, a fire hit Agustinus Junior High School, at Semarang City. The aim of the research is to determine the effect of implementing a fire disaster preparedness simulation in increasing the knowledge and attitudes of Agustinus Middle School residents regarding fire disasters. The research design used was a quasi experiment with a quantitative approach. This research used a one group pretest-posttest design. In this research design, the entire population is used as research respondents. The pretest was given before the fire disaster simulation activity began and the posttest was given after all respondents carried out the fire disaster simulation activity. The research instrument used a questionnaire sheet. Data were analyzed with wilcoxon test. The results of the research show that there is an effect of implementing a fire disaster preparedness simulation on the knowledge and attitudes of Agustinius Junior High School residents with a wilcoxon p value of 0.000 and there is an increase in the knowledge of the school community by 24.3% and the attitude of the school community by 34% compared to before the simulation. This research suggests that schools should hold regular disaster preparedness simulations at least once a year and collaborate with related professional institutions to increase the capability and effectiveness of school emergency response teams in handling emergency situations.

This research aims to design and simulate a DC motor speed control system using integral state feedback (KISF) control. This control is designed to maintain DC motor speed stability with high accuracy despite disturbances or load changes. The research stages include mathematical modeling of the DC motor, PID control design, integral state feedback control design, simulation implementation and simulation results analysis. The show that althought integral state feedback control has a rise time 273.501 ms, slightly slower than PID 197.604 ms, integral state feedback compensates with higher slew rate of change 6.540 V/ms compared to PID 4.344 V/ms. Integral state feedback offers greater flexibility through pole placement values with Ackerman’s formula J3 = [-12 -100 -600], indicating that this system has good capability in responding to input changes, thus maintaining motor speed stably and efficiently. This indicates that integral state feedback control is superior in system adaptation and handling complex dynamics.

Polygamy in Islam is regulated with clear provisions based on the Qur'an and Hadith. Surah Al-Nisa/4:3 permits polygamy with a maximum of four wives, under the primary condition of fairness in fulfilling material needs such as food, clothing, and shelter. However, Surah Al-Nisa/4:129 emphasizes that emotional fairness, such as inclinations of the heart, cannot be mandated as it is beyond human capability. The Prophet Muhammad SAW exemplified how to practice polygamy while adhering to the principle of justice emphasized in Islam. Historically, the regulation of polygamy aimed to address social crises in early Islamic society, such as the high number of widows and orphans due to war. Polygamy was viewed as a social solution to protect the rights of women and children, albeit under strict conditions. In conclusion, polygamy in Islam is an option permitted only in specific circumstances, not an obligation or outright recommendation, with a strong emphasis on justice and the welfare of all parties involved.

This work explores the potential of PennyLane and variational quantum-classical algorithms (VQCA) to forecast lung cancer using a structured dataset. The VQCA model performs exceptionally well, with flawless training, validation, and test accuracies of 1.0, demonstrating its capacity to identify patterns in the dataset and provide reliable predictions successfully. Contrarily, the accuracy of the quantum neural network (QNN) and classical neural network (NN) models is lower, demonstrating the benefits of utilizing quantum computing methods for enhanced predictive modeling. We provide a complete examination of the data, stressing the better performance of the VQCA model and its promise in correctly predicting lung cancer. The results highlight the importance of quantum-classical algorithms and help us understand the benefits and drawbacks of various strategies for predicting lung cancer. The study highlights the potential applications of quantum computing techniques in advancing the field of healthcare analytics. It shows the capability of the VQCA model to predict lung cancer using a tabular dataset accurately. Further research in this area is needed to explore scalability and practical implementation aspects. In summary, this study showcases the potential of VQCA and PennyLane in predicting lung cancer and underscores the benefits of quantum computing techniques in healthcare analytics.

This study aims to analyze the internal and external factors influencing the marketing strategy of Tagify, a business engaged in the design of lanyards and ID cards. Using a descriptive qualitative analysis method, the study collects secondary data from literature reviews related to marketing strategies and SWOT analysis. The findings reveal that Tagify's strengths lie in creative design, fast production capability, and flexibility in meeting customer demands. However, the main challenges are limited production capacity and suboptimal use of social media for marketing. Significant opportunities exist in the growing demand for custom products in corporate sectors and large events, while the primary threat comes from intense price competition. The implications of this research show that SWOT analysis is crucial in formulating effective marketing strategies to address challenges, seize available opportunities, and strengthen Tagify's competitive position in the market.

Digital transformation (DT) is a necessity for incumbent companies today, including MSMEs, to be able to continue to compete in the era of technological disruption and accelerated by the COVID-19 pandemic. This research aims to design IT governance (ITG) for BPRACo MSMEs using the COBIT 2019 SME focus area framework. The research method used is design science research (DSR) which creates artifacts in the form of ITG solution development methods and systems. The research results revealed that the highest GMO priorities selected were APO10 Managed Vendors, MEA03 Managed Compliance with External Requirements, and APO12 Managed Risk. From the analysis of the selected GMOs, there are gaps and recommendations for improvement in the seven components which are then mapped into three aspects, namely people, process and technology aspects. The results of the research analysis show that the ambidextrous IT governance approach has succeeded in increasing the level of capability in several main components of BPRACo MSMEs in adopting DT. The right ITG strategy can help BPRACo MSMEs operating in the banking industry achieve a successful DT journey.  

According to current trends, there is a need for Islamic banks both in quantity and quality. Customers will think about and choose Islamic banks more often as quality improves. The quality of Islamic banks can be improved by looking at their performance and sustainability capabilities which are influenced by the quality of funding or investment. This sharia bank, which was founded by considering these two types of financing, uses sharia banking as its financing fund distribution product. These banks finance transactions with the aim of making money. based on the results of collaborative projects implemented based on musyarakah agreements and profit sharing principles. Musyarakah financing is a collaborative effort between capital owners to run a particular business in accordance with sharia principles, with both parties participating in the success of the business. parties according to predetermined ratios, and losses are allocated according to capital advice. In the financial industry, bank performance is one of the main indicators of health. One method for evaluating bank operations is to use metrics to measure profitability, which is usually called ROA or profit assets. ROA is a capability metric; a business makes money by using all its resources and skills. A bank will make more money and have a better asset utilization position if its return on assets (ROA) is higher. In other words, ROA can show how effectively managers allocate resources to generate profits.

This research investigates school scope classification using Deep Neural Networks (DNN), focusing on students living environments and educational opportunities. By addressing the interplay of socioeconomic and educational factors, the study aims to develop an analytical framework for understanding how environmental contexts shape academic trajectories. The research provides a nuanced understanding of the importance of features in educational classification by developing DNN models based on Spearman's Rank Correlation Coefficient (SRCC). The methodology employs machine learning techniques, integrating data wrangling, exploratory analysis, and multiple DNN models with K-fold cross-validation. The study analyzes 677 student records from two schools. The research examined multiple model configurations. Results show that the 'All Data' model achieved 83.08% accuracy, the 'Top 5' model 81.54%, and the 'Non-Top 5' model 79.23%. The SRCC-based approach revealed that while top correlated features are important, additional variables significantly contribute to model performance. The study highlights the profound impact of family background, social environment, and educational contexts on school selection. Furthermore, it demonstrates DNN's capability to uncover intricate, non-linear relationships, offering actionable insights for policymakers to leverage machine learning's potential in developing targeted educational strategies.

The reliability of sterilization equipment, such as autoclaves, is essential to ensure patient safety, infection control, and operational continuity in healthcare facilities. Damage or malfunction of autoclaves may disrupt sterilization processes and pose significant risks to medical services. This study aims to develop an expert system for autoclave damage detection using the fuzzy logic method to support faster and more accurate diagnostic decision-making. The proposed system applies fuzzy inference to evaluate the level of damage based on input symptoms provided by users. By handling uncertainty and varying symptom intensities, the fuzzy logic approach enables proportional assessment rather than rigid rule-based classification. The system was designed through knowledge acquisition from technical experts and implemented using fuzzy membership functions and inference rules to determine damage severity levels. Experimental testing was conducted to evaluate system performance and diagnostic accuracy. The results indicate that the expert system successfully generated diagnosis outputs for all tested scenarios, achieving functional diagnostic accuracy within the defined test cases. The system was also able to calculate a quantified damage severity value of 11.6235981% based on the given symptoms, demonstrating its capability to assess damage levels numerically and objectively. Furthermore, the developed system significantly reduces the time required for damage detection compared to manual diagnostic procedures. Automating the evaluation process, it assists electromedical technicians in identifying faults more efficiently and taking preventive or corrective actions promptly. Overall, the implementation of a fuzzy logic-based expert system provides an effective, accurate, and practical solution for improving autoclave maintenance management and supporting healthcare service reliability.

This study presents the implementation of Transfer learning using the ResNet-18 architecture for classifying 10 musical instrument categories based on visual representations of audio signals. The audio waveform is transformed into image-like inputs appropriate for CNN processing, accompanied by data augmentation and ImageNet-standard normalization. ResNet-18 is utilized due to its efficient feature extraction capability enabled by residual blocks, which help overcome vanishing gradient issues. The model was trained for 10 Epochs using the AdamW optimizer and Cross-Entropy Loss. Experimental results show that the model achieved a maximum validation accuracy of 77.35%, with a stable downward trend in training loss, indicating effective feature learning. However, several misclassification cases were observed, particularly among instruments with similar spectral characteristics, such as drum–violin and tabla–sitar. These findings demonstrate that while ResNet-18 performs reliably for musical instrument classification, further improvements remain possible through deeper architectures like ResNet-50, more comprehensive hyperparameter optimization, and the use of richer audio representations such as Mel-Spectrograms. This research provides an essential foundation for developing automated music analysis systems powered by Deep Learning.

With the concept of a Leadership Capability model based on the development of Emotional Competency which aims to anticipate the combination of Human Resource Management Strategy and team performance. As a statistical test, this research raises four variables, namely: Human Resource Management Strategy, Emotional Competency Based Leadership Ability, Job Crafting Behavior and Teamwork Performance. Empirical testing through a survey of 120 respondents, namely the school principal's work team consisting of the principal, deputy principal and head of administration who are members of the State High School development team in Central Java, Indonesia. Revealed the role of Leadership Ability based on Emotional Competence. In this research, to mediate Strategic Human Resource Management with team work performance. There are two limitations, the first is that the survey was only conducted at State High Schools and SKM in the province of Central Java, Indonesia, the second limitation is that it focuses on the mediator of Leadership Ability Based on Emotional Competence. This does not consider the existence of other variables from human resource management theory. intelligence theory, social exchange, service dominant logic, agency and others. At a practical level, the perspective of the relationship between Emotional Competency Based Leadership Capabilities, Strategic Human Resource Management and Teamwork Performance provides guidance on how public organizations such as schools can strive for value alignment to encouraging Emotional Competency Based Leadership Capabilities which in turn will improve team work performance  

This study aims to determine the direct and indirect effect of personal capability, sophistication and utilization of technology on accountant performance with the effectiveness of accounting information systems as an intervening variable in riau islands shipping COMPANIES. The population in this study were all accountants owned by shipping companies under the auspices of the Indonesian National Shipowners' Association Riau Islands, namely 31 companies and each company had at least 2 finance department people. So that the population in this study were 103 respondents. To get a sample that describes the population, this research uses a saturated sample method, where the entire population is sampled, namely 103 accountants. The results of this study personal capability has a positive and significant effect on the accounting information system. Technological sophistication has a positive and significant effect on the accounting information system. Utilization of technology has a positive and significant effect on the accounting information system. Personal capability has a positive and significant effect on accountant performance. Technological sophistication has a positive and significant effect on accountant performance. Utilization of technology has a positive and significant effect on accountant performance. Accounting information system has a positive and significant effect on accountant performance. Personal capability indirectly has a significant effect on accountant performance through the accounting information system. In other words, personal capability significantly mediates the relationship between personal capability and accountant performance. Personal capability indirectly has a significant effect on accountant performance through accounting information system. In other words, technological sophistication significantly mediates the relationship between technological sophistication and accountant performance. Indirect utilization of technology has a significant effect on accountant performance through accounting information system. In other words, technology utilization significantly mediates the relationship between technology utilization and accountant performance.

This study aims to identify the key success factors of public services in the education sector in Makassar City, using qualitative research. Based on the source, the types of data used are primary and secondary. Data obtained through interviews with the education office and school principals, while secondary data is data obtained from various literatures such as books, laws and other related sources. The results showed that there are two key success factors, namely supporting factors and inhibiting factors. Supporting factors are: a) there is good cooperation between the education office and the school assigned to do LINOA. b) there is motivation, psychology and a good spirit of willingness from the leadership. c) schools that are accessed by LINOA find it easy to make Star Class innovations and Recognise Potential, for LINOA support in building cross-sector cooperation. The inhibiting factors are: a) Asymmetric Information about the existence of LINOA. b) Misconceptions about creativity and innovation that are valuable from the existence of LINOA. c) Low HR competence in the era of capability. d) Little time to make innovations, finally no innovative thinking creativity.    

Abstract One of the government organizations tasked with managing affairs in its operational area in order to protect, be responsive, resolve, and rescue protected from fire is the Padangsidimpuan City Fire and Rescue Service. Performance is a term used to describe how well the implementation efforts in fulfilling the vision and mission of the organization. This research is in order to evaluate the effectiveness of the expenditure budget, namely from 2018 to 2022. The purpose of this budget capability evaluation is to assess the absorption of expenditure during the budget period. This study used a qualitative methodology combined with quantitative data collection and documentation methods. Descriptive analysis methods were used using efficiency ratios, expenditure growth analysis, operating expenditure and capital expenditure compatibility analysis, expenditure variance analysis. Based on the results of research using expenditure variance analysis, budget performance can be said to be good because there are no expenditures that exceed the budget. Analysis of expenditure growth between 2018-2022 shows positive growth. The findings of the expenditure conformity analysis show that operational costs use more of the expenditure budget than capital expenditure. In addition, with an average of 92.05%, the efficiency ratio of budget realization indicates that the use of the 2018-2022 budget is less efficient.

Government agencies are organizations chosen to carry out state functions. The most valuable possession of any organization is the human resources employed in its activities. Human resource management is thus needed in the control and rationalization of the administration of human resources in an organization. Emotional intelligence refers to the capability to identify and know one's own emotions and feelings. The work environment, too, might affect employees in the demonstration of OCB. OCB refers to employee behavior beyond their routine activities. It involves displaying personal interest in fellow employees, giving suggestions for the better performance of fellow employees, and respecting and committing to the company. This study, therefore, aims at ascertaining the extent to which Emotional Intelligence and Work Environment influence the organizational citizenship behavior of Disdukcapil employees. The research design employed in this research is quantitative, with primary data sources. The sample used in this research includes all staff members from the Disdukcapil in Surakarta City. Data obtained by the researcher were analyzed using SPSS version 27. The results of this study conclude that emotional intelligence has a significant effect on OCB, work environment has a significant effect on OCB, and emotional intelligence and work environment both have a significant influence on OCB.

Tintun's Cookies, an SMEs of pastry and cookies that has been established for more than 10 years, plans to expand overseas. This study aims to identify countries with potential for Tintun's Cookies products, analyse external and internal factors, and formulate appropriate export strategies for Tintun's Cookies in preparing for exports to the target country. The research method uses Market Research Analysis using Trademap data and indicators such as import tariffs, requirements, trends, and distance in the destination country, PESTEL, EFE, IFE, and Marketing Mix 7ps. The results of the study show that Malaysia is the recommended country to be the main export destination for Tintun's Cookies products. This is supported by high market demand, proximity, elimination of import tariffs, ease of regulation, and cultural and product trend similarities. Based on the intersection of the IFE and EFE matrices, it shows that Tintun's Cookies is in quadrant 1, namely Grow and Build, where this position shows that Tintun's Cookies is in good condition in terms of strengths and opportunities and has the capability to export cookies to Malaysia. Thus, it is recommended a marketing strategy to take advantage of opportunities by developing products, market penetration, and market development. Some of the proposed strategies are to meet export requirements in Indonesia and Malaysia through export training from the government, meet labelling and identity requirements for cookies in Malaysia, set competitive selling prices, collaborate with the government and e-commerce media to reach consumers.    

Quality Management has been known since four thousand years ago, when the ancient Egyptians measured the dimensions of the stones used to build the pyramids. In modern times, quality management activities have developed through several activities, namely inspection, quality control, quality assurance, quality management and integrated quality management. The problem currently occurring at Bir Pletok Bang Udin UMKM in quality management is that they do not know the right composition to increase quality and do not know the standard level of factors used, so the author has carried out quality improvements in product manufacture. This research uses the DMAIC cycle (Define, Measure, Analyze, Improve and Control) with the Taguchi method for quality improvement. The aim of this research is to combine the DMAIC cycle with the Taguchi method to improve the taste quality of beer pletok drinks. The results of this research are that there is a significant change in the DPMO value and sigma value, before the DPMO improvement was 614.092 and the sigma value was 1.21, this value was relatively low, after the improvement the DPMO value became 32, this proves that the number of defects has decreased and the sigma value has increased to 5.50 This proves that there has been a large increase in process capability, so that the improve phase has proven to be very effective in improving quality and process capability.