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This research successfully designed and built a CNC drawing machine based on Arduino. The system utilizes NEMA stepper motors to move the X and Y axes, as well as a servo motor to control the Z axis. The Arduino Uno, supported by GRBL firmware, acts as the central controller that processes commands from the Inkscape software. The results of the research demonstrate that the developed CNC machine is capable of producing images with satisfactory accuracy. The appropriate selection of components and optimal parameter settings have contributed to the machine's reliable performance.

This study presents an advanced approach to multi-class skin lesion classification by leveraging an ensemble model comprising the Inception-V3, ResNet-50, and VGG16 architectures. The classification task focuses on categorizing skin lesions into distinct classes, including Melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC), using the ISIC dataset, a comprehensive collection of dermoscopic images. In order to properly balance the dataset, the oversampling strategy is utilized, as some lesion types are underrepresented due to inherent imbalances in the dataset. By ensuring that the model is trained on a more representative dataset, this balancing improves the algorithm's capacity to categorize all lesion types properly and impartially. By combining the complementary features of ResNet-50, Inception-V3, and VGG16, the ensemble technique improves the overall classification performance. ResNet-50 is chosen for its deep feature extraction capabilities, which help capture fine details in lesion patterns. Inception-V3 is selected for its multi-scale processing, allowing it to effectively analyze lesions at varying resolutions and sizes. VGG16 is included due to its simple yet highly effective architecture for image classification tasks. The ensemble model with data augmentation significantly outperforms individual models in skin lesion classification for both the original and balanced ISIC datasets regarding accuracy, precision, recall, and F1-score. This method offers a robust solution for skin lesion classification, contributing to more accurate and reliable diagnostic tools in dermatology.

This study aims to analyze the influence of motivation, incentives, and work discipline on employee performance in the Finance Department of Bandung Adventist Hospital. The method used is multiple linear regression analysis to determine the relationship between independent variables (motivation, incentives, and work discipline) and the dependent variable (employee performance). The analysis results indicate that motivation has a significant and positive effect on employee performance, with a regression coefficient of 0.326 and a significance level of 0.009, supporting the hypothesis that motivation plays an important role in enhancing employee productivity and commitment. Conversely, the incentive and work discipline variables show a negative and non-significant effect on performance, with coefficients of -0.162 and -0.208, respectively. This suggests that the current incentive and work discipline practices are not fully effective or do not meet employee expectations. Simultaneously, the three independent variables have a significant effect on employee performance, with the F-test showing a significance level of 0.009. This study recommends that management prioritize motivation improvement through training programs, rewards, and the development of a supportive work environment. Additionally, it is essential to evaluate the incentive system and adopt a more flexible disciplinary approach to align with employee needs and expectations.

Victory in Mobile Legends is influenced by various factors, such as player skills, strategy, and character selection. To predict game outcomes, the backpropagation algorithm is applied to process historical gameplay data and create an accurate predictive model. This study aims to apply the backpropagation algorithm to predict victory based on player attributes, including team role, experience level, and past performance. The research method involves training and testing the model using data from multiple gameplay sessions with varied outcomes. Findings show that the backpropagation algorithm can predict game results with high accuracy, especially when the data includes a more comprehensive range of attributes. The implications of this study suggest that a backpropagation-based predictive model can help players understand their chances of winning and optimize their gameplay strategies. Furthermore, future developments in this algorithm could provide benefits for similar applications in other digital gaming fields.

Hermina Hospital is one of the organizations that is a learning organization under the auspices of PT. Medikaloka Hermina Group. Hermina Hospital carries out Key Performance Indicators (KPI) to evaluate employees who work at Hermina Hospital. What is assessed from the KPI includes competency, performance, human resource development that is assessed, namely employee dropout and employee engagement with the company. Based on the results of interviews with the HRD department at Hermina Hospital, hospital employees with satisfaction, performance and strong attachment to the company were 73% of medical employees and 27% of non-medical employees. The data corresponds to the KPI values ​​for the period December 2022-May 2023 from each KPI unit that is declared good is with a minimum value of 6 (six) or more, along with data with a KPI value of less than 6, namely Directors, Jangmed, HRD, Finance, Quality staff and Accreditation, General Support and JKN, CSSU, Marketing while the KPI scores in the good category are Nursing, Yanmed, Laboratory units. The aim of this research is to analyze the influence of learning organizations on the performance of non-medical staff with job satisfaction, competence and employee engagement at Hermina Lampung Hospital. This research uses a questionnaire from the development of a previous research questionnaire. The questionnaire was collected using Google forms. This research uses a quantitative research method using a perception survey method to collect data from the population. This perception survey was conducted by distributing a list of questions to respondents. The survey conducted in this research was a cross-sectional survey. Apart from that, this research also used a quantitative descriptive approach using a total sampling that met the inclusion criteria of 58 respondents. Analysis using the path analysis method. The research results from data analysis showed that there was an influence between learning organization on performance, there was an influence of learning organization on job satisfaction, there was an influence of learning organization on competence, there was an influence of job satisfaction on performance, there was an influence of employee engagement on performance, while competency had no influence on performance.

Teachers are the pillars of the development of society's building blocks, i.e., the students; therefore, for the effective and constructive nourishment of the students, the performance of the teachers must be excellent with the support of external elements. To empirically analyse teachers' performance, this study employed a quantitative research technique, elucidating the influence of school environment, character development, and school administration on teachers' performance levels through the mediation of the efficacy component of individual personality. The study targeted high school teachers in Indonesia, collected data purposefully using a survey instrument, and used a total of 227 legitimate and effective responses to compile the results. The research found substantial results for all direct interactions, and mediation was recommended for the school climate and teacher performance. The study added a fresh piece of evidence to the literature by shedding light on the impact of external environmental elements at the school level on teachers' performance.

Evaluation of Regional Government financial performance is important and needs to be carried out. The aim of this research is to check the financial performance of the Malang City Government by analyzing financial reports from 2018 to 2023. This research is descriptive qualitative with secondary data obtained from the Malang City Central Statistics Agency. The results show that the degree of decentralization ratio has an average of Fair Performance, the financial independence ratio has an average of Low Performance, the efficiency ratio has an average of Inefficient Performance, the ratio of operational expenditure to total expenditure has an average of Good Performance, the ratio of capital expenditure to total expenditure with average Good Performance, and ratio of expenditure growth with average Good Performance.  

This study aims to explore the influence of work motivation, leadership style, and compensation on employee performance at Rumah Sakit Advent Bandung. With a total population of 720 employees, the study uses a simple random sampling technique to select a sample of 88 respondents, deemed sufficiently representative. Data collection is conducted through a Likert-scale questionnaire designed to capture respondents' perceptions of work motivation, leadership style, and compensation variables. To ensure data quality, the instrument's validity is tested through factor analysis, and its reliability is measured using Cronbach’s Alpha to guarantee consistency in results. Hypothesis testing is carried out using classical assumption tests and multiple linear regression analysis via SPSS version 27.The results reveal that work motivation and compensation have a positive and significant impact on employee performance, indicating that higher motivation and compensation are associated with improved employee performance. In contrast, leadership style does not show a significant effect on employee performance, possibly due to varying perceptions of the role of leadership within this organizational context. Collectively, work motivation, leadership style, and compensation variables have a significant effect on employee performance. The obtained R Square value of 0.309 indicates that 30.9% of the variation in employee performance can be explained by these three variables, while the remaining 69.1% is influenced by other factors outside this model, such as work environment, organizational culture, or other individual factors. These findings provide valuable insights for management in designing strategies to enhance employee performance.

The finding of phenomena related to the physical and non-physical work environment on employee performance at the Grand Lagoi Hotel Bintan is the reason for conducting this research. This research is aimed at investigating how the physical and non-physical work environment is influenced by employee performance. By using a survey methodology based on a quantitative causal associative framework, this research seeks to explain the causal dynamics that occur. Then, the population used was employees at the Grand Lagoi Hotel Bintan. A total of 77 respondents participated in this study, selected through saturated sampling techniques to ensure comprehensive representation. To assess the validity and reliability of the questionnaire—the main instrument for data collection using a Likert scale. For data analysis, we used the SPSS 20.00 application, ensuring robust and accurate processing of the findings. The resulting findings indicate that the results of the Physical and Non-Physical Work Environment have a significant influence on Employee Performance at Grand Lagoi Hotel Bintan.

This study employs a quantitative methodology to evaluate the impact of financial report quality on performance accountability within the Regional Financial Management Agency of Mamasa Regency. Data was collected through a structured questionnaire distributed to all agency employees, ensuring a comprehensive understanding of their perspectives. The analysis utilized hypothesis testing and basic linear regression to derive meaningful conclusions from the data collected. The sample for this investigation comprised all 52 employees from the Regional Financial Management Agency, allowing for an inclusive representation of the population. The results of the hypothesis test yielded a significance value (Sig.) of 0.001, which is less than the threshold of 0.05. This statistical finding leads to the conclusion that the quality of financial reports (variable X) significantly influences performance accountability (variable Y) in the agency. These findings underscore the importance of maintaining high standards in financial reporting, as it directly correlates with enhanced accountability in performance. The study highlights the need for continuous improvement in financial report quality to foster greater transparency and responsibility within public financial management practices.

This research aims to analyze the influence of Job Rotation and Job Training on Employee Performance through Job Satisfaction. The unit of analysis for this study is PT BPR Arto Moro Semarang. This research is a causal-comparative type, with a sample size of 74 respondents collected through a questionnaire. The sampling method used is non-probability sampling with purposive sampling. The analysis tool employed in this study is Structural Equation Modeling (SEM) using the SmartPLS (Partial Least Square) version 4 application. The results of this study indicate a significant positive influence of Job Rotation on Job Satisfaction, Job Training on Job Satisfaction, and Job Rotation on Employee Performance. However, it does not show a significant impact of Job Satisfaction on Employee Performance and Job Training on Employee Performance at PT BPR Arto Moro.

Competition in the business world is indeed very tight in Indonesia, as in many other countries. Indonesia’s economic growth has created new business opportunities, attracting many MSMEs who were born to compete in pursuing a growing market share. The purpose of this study is to determine the implementation strategy of change management in an effort to improve business performance in fishery MSMEs in Karawang Regency. This study observes and analyzes using a descriptive quantitative approach. This study has an “ex-post de facto” nature. The implementation strategy of change management can make a significant contribution to improving business performance. Implementation strategies help organizations to be more responsive to changes in the market environment. This allows businesses to adapt more quickly to new trends and demands, maintaining competitiveness. Focusing on change drives a culture of innovation within the organization. Employees who feel encouraged to provide ideas and try new things can create innovative solutions to improve performance

This research is motivated by the less than optimal performance of the organization which is marked by the less than optimal achievement of the planned work targets according to the time and proportion that has been set. The less than optimal performance of the organization is thought to be caused by the less effective conflict management and low work culture in the Pangandaran port office. Conflict management managed by the leadership is less effective in controlling the running of the organization which is full of conflicts between employees, both openly and secretly. Employees at the Pangandaran port office seem to form groups that create a gap so that there is no compact cooperation among employees in carrying out their main tasks and work programs. The purpose of this study is to determine how conflict management affects organizational performance, how work culture affects organizational performance, and how conflict management and work culture affect organizational performance. The method used in this study uses a quantitative descriptive method. To analyze it, statistical correlation and multiple regression test data analysis was used using SPSS version 22.00. The results of the study obtained provide the conclusion that conflict management has a positive and significant effect on organizational performance, work culture has a positive and significant effect on organizational performance, and conflict management and work culture have a positive and significant effect on organizational performance.

This study examines the relationship between Green Human Resource Management (Green HRM), Pro-Environmental Behavior (PEB), and Employee Performance in the hospitality industry. Using data collected from 265 employees across 12 star-rated hotels in Semarang that have implemented green hotel practices, this research employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the proposed hypotheses. The findings reveal that Green HRM positively influences both PEB (β = 0.627) and Employee Performance (β = 0.341). Furthermore, PEB positively affects Employee Performance (β = 0.396) and partially mediates the relationship between Green HRM and Employee Performance. Demographic factors, including age, education level, and tenure, moderate several relationship paths, suggest the importance of a differentiated approach in Green HRM implementation. Among Green HRM dimensions, Training and Development and Employee Involvement have the strongest effect on PEB, while Performance Management and Reward Systems most directly influence Employee Performance. These results provide empirical evidence that integrating environmental sustainability into HR practices benefits not only environmental outcomes but also enhances employee performance, creating a win-win situation for hotels in their pursuit of competitive advantage while meeting environmental responsibilities.

This study investigates optimal retrofit strategies for buildings in tropical climates, focusing on energy efficiency, thermal comfort, and indoor air quality (IAQ). Given the unique challenges of high temperatures, humidity, and energy demands in tropical regions, traditional retrofitting methods often fall short of achieving a balance between these critical factors. By employing a multi-objective optimization approach, this research identifies the most effective combination of retrofit solutions, including insulation, natural ventilation, and high-performance window treatments. The results show that the proposed retrofit strategy significantly reduces cooling energy consumption, while maintaining or improving occupant comfort and IAQ. Insulation, particularly external insulation, proved to be the most effective in reducing heat transfer, while natural ventilation strategies and advanced materials further contributed to improving thermal regulation. The study demonstrates that integrating passive and active retrofit measures, tailored specifically to tropical climates, leads to optimal building performance. The multi-objective optimization algorithm (NSGA-II) allowed for the generation of Pareto-optimal solutions, offering a set of trade-offs between energy efficiency, thermal comfort, and IAQ. These findings are particularly relevant for policymakers and building professionals seeking sustainable retrofit solutions in tropical regions. The study also highlights the importance of integrating energy efficiency and IAQ considerations in retrofit strategies to avoid compromising occupant health. Further research is recommended to explore the integration of advanced materials, such as phase change materials (PCMs), and to enhance IAQ management in retrofitted buildings, ensuring long-term sustainability and occupant well-being in tropical environments.

This study aims to analyze the effect of the implementation of the Government Agency Performance Accountability System (SAKIP) on the performance of the Sikka Regency DPRD Secretariat in 2023. The approach to this study is descriptive qualitative using primary and secondary data. Data were collected through interviews, observations and documentation of SAKIP reports. The results of the study indicate that the implementation of SAKIP has not been fully optimal, especially in terms of collecting performance data and following up on evaluation results as a basis for providing rewards and punishments. This study recommends the development of SOPs for performance measurement and utilization of evaluation results as strategic steps to improve agency accountability and performance.

The dynamic development of digitalization today increases the important role of digital leadership as a key factor to optimize employee performance. Research specifically through the development of creativity and innovative behavior in the workplace. This study aims to examine the indirect effect of digital leadership on performance through creativity and innovative work behavior of employees. The research was conducted at PT Semen Indonesia (Persero) Tbk. The research approach used is quantitative with survey research design where data is collected through questionnaires. The sampling technique used purposive sampling. This study involved 74 respondents who were analyzed using Smart PLS 4.0. The research findings explain that digital leadership does not directly affect the performance of PT Semen Indonesia (Persero) Tbk employees, but has an indirect influence through innovative work behavior. Meanwhile, creativity is not proven to mediate the effect of digital leadership on employee performance. Digital leadership is able to increase employee creativity, but employee creativity is not able to improve the performance of PT Semen Indonesia (Persero) Tbk employees. The research findings underscore the important role of digital leadership to drive employee performance. The results also imply that management can apply digital leadership as a strategy to increase creativity and innovative behavior in the workplace where innovative work behavior drives employee performance.

User satisfaction can be measured through a variety of methods, including user satisfaction surveys, direct feedback, and analysis of user behavior data. This research aims to analyze user satisfaction withLearning Management System (LMS) Course Lean Manufacturing using methodImportance Performance Analysis (IPA). Through surveys and data analysis of 100 respondents from LMS users, we identified critical attributes that influence user satisfaction. The IPA method is used to assess the level of importance and performance of each attribute, with a focus on determining attributes that have a high level of importance but low performance. The results show that a particular attribute, which we identified as attribute A, has high importance but low performance. Therefore, improvements to attribute A are considered crucial for increasing LMS user satisfactionCourse Lean Manufacturing. The implications of these findings provide guidance for system developers and course organizers to focus on certain aspects to increase the effectiveness and user acceptance of learning platformsLean Manufacturing. This research contributes to further understanding of the factors that influence LMS user satisfaction in learning contextsLean Manufacturing.  

This research is motivated by the need for PT Sumi Indo Kabel Tbk to manage foreign currency transactions in line with the increase in international trade and exchange rate fluctuations. Foreign currency transactions can affect the company's financial statements, especially in the recognition of profit or loss due to changes in exchange rates. The purpose of this study is to analyze the application of foreign currency transaction accounting at PT Sumi Indo Kabel Tbk based on Statement of Financial Accounting Standards (PSAK) 221 on the Effect of Changes in Foreign Exchange Rates. The research method used is descriptive quantitative, using secondary data obtained from the company's annual financial statements. The results showed that PT Sumi Indo Kabel Tbk has implemented PSAK 221 properly, recorded foreign currency transactions at the prevailing exchange rate and recognized the exchange difference in the income statement. However, the company still faces the risk of significant exchange rate fluctuations, which requires a more comprehensive risk management strategy. The conclusion of this study is that consistent implementation of PSAK 221 can help companies improve the transparency of financial statements and reduce the negative impact of exchange rate fluctuations on financial performance..

Micro, Small, and Medium Enterprises (MSMEs) play a pivotal role in driving Indonesia's economy forward, acting as the cornerstone for inclusive and sustainable economic development. However, these enterprises face a formidable challenge in expanding their operations. While effective financial management is paramount for success, many MSME practitioners lack awareness regarding the significance of meticulous and accurate financial record-keeping. To tackle this challenge, information technology, particularly digital accounting, presents promising solutions capable of enhancing the efficiency and precision of financial reporting. This research delves into the implementation of digital accounting among MSMEs in the Sukarame district, Bandar Lampung, aiming to scrutinize its impact on business performance. Employing a qualitative approach, the study seeks to grasp the perceptions, experiences, and everyday practices of MSME practitioners concerning the utilization of digital accounting applications. Through this inquiry, it aspires to cultivate a more comprehensive and contextual understanding of the ramifications of digital accounting adoption on Lampung's MSME sector, offering pertinent insights for policy formulation and the advancement of digital accounting practices across Indonesia. Ultimately, this study aims to contribute to the body of knowledge surrounding MSMEs' integration of digital accounting, promoting sustainable growth and economic inclusivity in Indonesia.