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This research analyzes the satisfaction level of PERISAI agents regarding BPJS Ketenagakerjaan regulations at the Darmo Surabaya Branch Office. The PERISAI program, launched in 2018, represents a strategic innovation in the agency system to expand membership, particularly in the Non-Wage Recipient (BPU) sector. The study employs a qualitative approach with a case study design, involving participatory observation over four months (September-December 2024), in-depth interviews, and documentation analysis. Results indicate that the PERISAI policy transformation since May 2022, particularly the increase in contribution incentives from 7.5% to 15%, has positively impacted agent motivation. The reward system combining financial and non-financial incentives through gathering programs and point systems proves effective in building loyalty. Success in achieving BPU participant acquisition targets is influenced by agents' ability to develop personal approaches and build local community networks. The integration of digital platforms in acquisition processes and performance monitoring enhances operational efficiency. Capacity development programs through cross-generational communication training and social security fund management provide a strong foundation for PERISAI agents' task execution.

In the era of agricultural digitalization, dependence on Internet of Things (IoT) technology is increasing, yet supporting infrastructure remains vulnerable to connectivity disruptions. This research aims to develop an alternative protocol for IoT-based agricultural systems that can operate during internet connection failures, focusing on implementing a failsafe mode using NodeMCU ESP8266. The research methodology includes developing a monitoring system using soil moisture sensors and ultrasonic sensors for water level detection, as well as performance evaluation based on decision-making accuracy parameters, mode transition response time, and consistency in water management. Implementation results showed a 40,1% reduction in water consumption compared to traditional irrigation methods. The failsafe mechanism demonstrated sustained operations with 98% reliability in maintaining optimal soil moisture levels during 72-hour offline periods. This research contributes significantly to the development of smart agriculture through a cost-effective and scalable solution, particularly for areas with limited infrastructure that only require basic internet connectivity and minimal maintenance.

Education is an important element in developing children's minds, especially in rural areas where education is often not a priority. The aim of this research is to analyze the impact of education on the way children think in Kalirejo Village, Kraton District, Pasuruan Regency. The method used was a quantitative design with a survey approach, with 22 randomly selected respondents. Information is obtained through surveys that assess educational variables and children's thinking patterns. The results show that the applied regression model shows satisfactory performance, with an R Square value of 0.634, which means that education can explain around 63.4% of the variation in children's thinking patterns. The t test results show that education has a significant influence on children's thinking patterns, with a significance value of 0.000. The impact of this research is the importance of increasing access and quality of education in rural areas, as well as the need for policies that encourage public awareness of the role of education in children's future. It is hoped that this research can become a reference for the government and related parties in designing more effective education strategies.

Traditional SMEs face significant challenges in surviving the digital era, particularly in product marketing. One proposed solution is utilizing TikTok as a digital platform to expand market reach. This community service activity aims to empower a cassava cracker SME through the implementation of TikTok-based digital marketing strategies. The methods used include initial observation, creative content creation training, technical assistance, and performance evaluation of the TikTok account. The results show an increase in product visibility in the digital market, with significant video views and positive audience responses, including increased product demand. These findings highlight the importance of digital innovation in enhancing the competitiveness of traditional SMEs. In conclusion, empowering SMEs through TikTok can be a strategic step to connect local products with a broader market, promoting business sustainability in the digital transformation era.

This study aimed to analyze the performance management strategies implemented at the Public Works and Spatial Planning Office of Tanjungpinang City. The research type used was descriptive research with a qualitative approach. Data collection techniques were carried out through observation and interviews. The sample used in this study was purposive sampling, with the informants being human resources supervisors at the relevant office. Data analysis was conducted to identify the strategies applied in performance management. The research findings showed that the Public Works and Spatial Planning Office of Tanjungpinang City had implemented several performance management strategies, such as human resource development, measurement and evaluation, reward and sanction provision, and the implementation of information and technology. However, there were several challenges, such as the lack of quality human resources. This study recommended the need for improvements in the performance evaluation system, ongoing training, and better utilization of information technology. These measures were suggested to support the implementation of more effective performance management strategies.

This research is motivated by the importance of understanding factors influencing employee performance, particularly at PT Air Minum Bandarmasih (PERSERODA) Banjarmasin. The study aims to analyze the effects of work behavior and workload on employee performance, both partially and simultaneously. This quantitative research employs a survey design with a population of 380 employees and a sample of 79 respondents selected using random sampling based on Slovin's formula. The data were analyzed using validity and reliability tests, classical assumption tests, linearity tests, multiple linear regression analysis, and hypothesis testing. The results reveal that work behavior and workload significantly affect employee performance, both individually and simultaneously. Positive work behavior enhances employee motivation, while a proportional workload supports employees in developing their potential. The implications of this study highlight the importance of organizational management in fostering productive work behavior and effectively managing workload to sustainably improve employee performance.

The structure of the Windows operating system plays an important role in supporting the operational performance of computers, especially in business environments and professional users. This system is designed with a modular and layered architecture, which includes various components such as Hardware Abstraction Layer (HAL), I/O device manager, virtual memory management, and an integrated security system. Windows also supports energy management and plug-and-play mechanisms, which improve power efficiency and hardware compatibility. This architectural approach allows Windows to optimize interactions between hardware and applications, supports multitasking, and provides an efficient user interface. Thus, the structure of the Windows operating system is able to significantly improve device performance, which leads to optimization of operational performance.

Stunting is a health problem caused by a lack of nutritious food intake that the body needs. Stunting occurs from the womb, and is visible when the child develops at the age of two years. Literacy about healthy living environments and nutritious food to prevent stunting is very important for families, parents, caregivers, BKB administrators, and community service instructors themselves. Superior human resources come from the formation of character and way of life at an early age in the family. Optimizing the formation, improvement, understanding and role of parents in a healthy living environment and nutritious food needs to be fulfilled to provide the best stunting prevention that can be done.At this moment, the extension team provides assistance in delivering material on a healthy environment and nutritious food to prevent stunting. The delivery of this material serves to provide knowledge and experience related to stunting prevention. And the benefit is that participants get material, knowledge, knowledge and share experiences and solutions so as to produce participants who understand and understand more about a healthy environment and nutritious food to prevent stunting.This service is carried out for BKB participants in the RW. 05 Bandulan subdistrict, Sukun sub-district, Malang city, with around 40 participants. The aim of implementing this service is to help provide environmental literacy programs for healthy living and nutritious food to prevent stunting and change it. It is hoped that this service will also provide benefits for consideration, adding information and insight related to stunting prevention and the performance of BKB RW 05 Bandulan sub-district.

Augmented Reality (AR) applications are rapidly gaining popularity across various industries, including education and marketing. By integrating real-world environments with virtual objects, AR enhances user understanding and information display for products. This paper explores Diminished Reality (DR) techniques, which are used to visually remove real objects from AR environments. Despite growing interest, much of the DR research predominantly focuses on maintaining consistency between real and virtual elements, particularly in texture handling on marker areas. Our study addresses the preservation of depth consistency using edge detection and planar segmentation to construct a depth map, essential for developing effective DR methods. We introduce a two-stage process involving depth mask construction, each stage equipped with error measurement for iterative refinement. Our proposed techniques, Planarity and Boundary Depth, are evaluated on a dataset of high-quality RGB images captured by digital cameras. Experimental results validate the effectiveness of our methods across various performance metrics, confirming the practicality of our approach in enhancing AR experiences.

This community service initiative aims to enhance the brand awareness and market competitiveness of Micro, Small, and Medium Enterprises (MSMEs) in Kedungjambe Village through digital marketing strategies. The study addresses the primary issue of limited consumer visibility, which hinders MSME growth. Training sessions were conducted to optimize the use of WhatsApp Business for effective customer communication and the Shopee e- commerce platform to expand market reach. MSME participants were guided in creating engaging promotional content, utilizing WhatsApp's broadcast features for direct interactions, and managing online stores on Shopee, including product descriptions, inventory, and sales analytics. Practical simulations on Shopee's features were provided to strengthen participants' understanding of e-commerce as a strategic sales channel. The results demonstrated a significant improvement in brand visibility, customer engagement, and sales performance among participating MSMEs. This initiative highlights the effectiveness of leveraging digital platforms like WhatsApp Business and Shopee to enhance MSME competitiveness, offering a sustainable model for rural business development.

This study aims to analyze the influence of Bureaucratic Leadership Style on Employee Performance Mediated by Decision-Making at the Regional Investment and One-Stop Integrated Service Office (DPMDPTSP) of Bungo Regency. A sample of 43 respondents from the PMDPTSP Office of Bungo Regency employees was selected using the Purposive Sampling technique. (Sampel bertujuan). Based on the data processing results using SEM-PLS, it was found that, directly, Bureaucratic Leadership Style has a significant effect on Employee Performance. Bureaucratic Leadership Style significantly affects Decision Making. Decision Making does not significantly affect the Performance of Employees at the Regional Investment and One-Stop Integrated Services Office (DPMDPTSP) of Bungo Regency. Indirectly, there is no significant effect of Bureaucratic Leadership Style on Employee Performance Satisfaction mediated by Decision Making at the Regional Investment and One-Stop Integrated Services Office (DPMDPTSP) of Bungo Regency.  

The Influence Of Work Stress And Work Discipline On Employee Performance At The Faculty Of Animal Husbandry, Hasanuddin University. Study Of Human Resource Management Program Stim-Lpi Makassar. Supervised By Supervisors Azhary Ismail And Rahmi Usman. This Study Aims To Analyze The Effect Of Work Stress And Work Discipline On Employee Performance At The Faculty Of Animal Husbandry, Hasanuddin University. The Number Of Respondents In This Study Was 38 People, With The Implementation Of The Study Taking Place FromNovember 9, 2024 Until Completion. The Approaches Used Include Quantitative And Qualitative Approaches, With Data Analysis Techniques In The Form Of Multiple Linear Regression. The Results Of The Study Indicate That There Is A Significant Influence Between Work Discipline And Employee Performance At The Faculty Of Animal Husbandry, Hasanuddin University. The Results Show That T Count Is 2.010, T Table Is 2.898, And The Significant Number Is 0.050 ≤ 0.05, Which Indicates That H0 Is Rejected And Ha Is Accepted.

Firm value is an overall measure of the economic value of a company that includes asset value, profit-making ability, and future growth potential. This study aims to analyze the effect of capital structure, ownership structure, and company characteristics on firm value with financial performance and earnings management as intervening variables in cement sub-sector manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2019-2023 period. The research method used is a quantitative method with a secondary data analysis approach obtained from the company's financial statements and annual reports. The results showed that capital structure has a significant negative effect on earnings management and financial performance, but not significant on firm value. Ownership structure is not significant to all variables. Firm characteristics have a significant positive effect on earnings management and firm value. Earnings management has a significant positive effect on firm value, while financial performance has a positive but insignificant relationship. These findings provide practical implications for company management in designing optimal financial strategies to improve company performance and value, as well as for investors in making investment decisions based on relevant financial indicators.

Fraud in digital transactions has become a serious issue threatening the security and integrity of the fintech and e-commerce sectors. To address this problem, machine learning technology has emerged as an effective solution for automatically detecting anomalies and fraudulent transactions. This study aims to analyze the application of machine learning algorithms, specifically Support Vector Machine (SVM), Random Forest, and Ensemble Learning, in detecting fraud in digital transactions. The research adopts a quantitative approach with experimentation, testing the effectiveness of the three algorithms using a digital transaction dataset consisting of both fraudulent and non-fraudulent transactions. The results show that the Random Forest algorithm performs the best in terms of accuracy and recall, followed by Ensemble Learning, which enhances fraud detection performance by combining multiple prediction models. Meanwhile, SVM demonstrates satisfactory performance but is prone to overfitting issues when handling large and complex datasets. The study also finds that the problem of imbalanced data can affect model accuracy, and data balancing techniques such as oversampling are required to improve fraud detection performance. Overall, the findings suggest that machine learning, particularly Random Forest and Ensemble Learning algorithms, can be relied upon to improve fraud detection in digital transactions. However, challenges such as model interpretability and the need for periodic algorithm updates still need to be addressed to enhance the effectiveness of fraud prevention systems in countering the ever-evolving nature of fraud.

This research compares the techniques used in the file system structures of Windows and Linux. Each operating system employs distinct approaches to data organization, access, and management, as reflected in their respective file systems: NTFS for Windows and ext4 for Linux. The study explores the strengths, weaknesses, and applications of these systems under various conditions. By analyzing both theoretical documentation and empirical experiments, this research highlights the technical and philosophical aspects influencing the design and performance of file systems in Windows and Linux. The findings provide insights for selecting an appropriate file system based on specific requirements, emphasizing performance, reliability, and usability.

Human Resource Management (HRM) has become essential to a company's success in the global marketplace in the fast-paced age of globalisation. Global HRM is an approach that takes into account global elements like market demands, labour laws, and cultural norms. Managing scattered teams, adjusting to cultural diversity, and differing labour laws are among the difficulties. Global HRM does, however, also offer advantages, such as easier access to talent from throughout the world. This journal attempts to offer useful insights for HRM practitioners and business executives in managing human resources in the age of globalisation through in-depth examination.Literature reviews serve as the data source for the qualitative and descriptive research methodology. The study's findings emphasise how crucial global human resource management is to accomplishing corporate objectives in a variety of international marketplaces. Flexibility, efficient resource management, improving cultural sensitivity, and employee participation are some of the suggested remedies. In the age of global business, companies can improve performance and accomplish their objectives by putting in place efficient HRM strategies.

This study aims to describe the implementation of the Human Resources Division (HR) in managing administration and employee data at PT Prima Perdana Mandiri Sidoarjo. The HR Division has an important role in maintaining the smooth operation of the company through efficient administrative management and structured employee data management. The employee administration management process includes various activities such as recruitment, performance appraisal, attendance management, and employee development. On the other hand, employee data management is done by utilizing information technology, such as Human Resource Information System (HRIS), to store, process, and secure data effectively. The findings of this research show that the system implemented by PT Prima Perdana Mandiri drives the company's operational efficiency, maintains regulatory compliance, and provides a solid foundation for the company's future strategic planning.

The function of the Sharia Supervisory Board (DPS) in overseeing Indonesian sharia insurance providers is examined in this study. This study examines how DPS fulfills its responsibilities to guarantee adherence to sharia principles in insurance operations and products using qualitative approaches based on a review of the literature. As a supervisor and advisor in sharia financial institutions, DPS is crucial. However, because of a lack of expertise in the sharia insurance industry and a shortage of human resources, DPS performance is still subpar, according to this study. The analysis's findings highlight how crucial it is to improve DPS's role and capabilities through pertinent education and training in order to boost the effectiveness of sharia supervision in the insurance industry.  

The purpose of this article is to understand the importance of transformational leadership in improving teaching staff productivity. This research uses a systematic approach to literature review by analyzing individual articles from national and international journals. The results of the literature review show that the school's transformational leadership in improving teaching staff performance includes: 1) creating a collaborative and inspiring environment, 2) providing intellectual and innovative stimulation, 3) involving students, and 4) providing constructive feedback.  

This study aims to analyze the effect of the Debt to Equity Ratio (DER) on the Net Profit Margin (NPM) of PT Astra International Tbk, listed on the Indonesia Stock Exchange (IDX) during the 2021–2023 period. This research employs a descriptive quantitative approach using secondary data obtained from the company's annual financial reports. Data analysis techniques include descriptive analysis, Pearson correlation test, and simple linear regression. The results show a negative relationship between DER and NPM, with a correlation coefficient of -0.726, indicating that an increase in DER tends to be followed by a decrease in NPM. However, this relationship is not statistically significant, with a p-value of 0.483. Regression analysis results reveal that DER can only explain 52.7% of the variation in NPM, while the remaining percentage is influenced by other variables outside this research model. Therefore, although capital structure plays a role in influencing profitability, other factors such as operational efficiency and cost management also need to be considered to improve the company's financial performance.