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In the digital era, job-seeking mechanisms have evolved through e-recruitment platforms, particularly for Gen Z fresh graduates. However, seamless digital access does not inherently trigger a high intention to apply for jobs, suggesting a complex interplay between internal psychological states and external technical factors. Objective: This investigation empirically examines the extent to which self-efficacy and the effectiveness of e-recruitment systems influence the intention to apply for jobs among Gen Z fresh graduates in Tasikmalaya Regency. Methodology: This study employed an explanatory quantitative approach involving 80 subjects selected via purposive sampling. Data evaluation was conducted through Multiple Linear Regression analysis using SPSS software. Findings: The research data demonstrates that both self-efficacy and digital recruitment systems exert a positive and significant impact on job application intentions, both independently and simultaneously. Furthermore, self-efficacy was identified as a more dominant predictor compared to recruitment technology. An R-Square value of 0.590 indicates that these two variables account for 59% of the variation in job application intentions. Implications: Companies are encouraged to continuously modernize their recruitment infrastructure while considering the psychological readiness of applicants and strengthening corporate branding to attract high-potential new graduates.

 Toxic work environments are becoming an issue that is getting more and more attention in human resource management because of its destructive impact on the psychological well-being of employees and organizational stability. Unhealthy interpersonal relationships, authoritarian leadership, bullying, and recurrent disrespectful behavior create a work atmosphere full of stress and uncertainty. This condition not only triggers work stress, anxiety, and emotional exhaustion, it further exacerbates these challenges, as high work demands and a lack of work-life balance make employees, especially Generation Z, increasingly vulnerable to mental health disorders. This study aims to analyze the influence of toxic work environments on employees' mental health as well as its impact on the intention to quit their jobs. The method used is a literature study with a qualitative approach, analyzing relevant scientific articles. The results of the study showed that a toxic work environment characterized by violence, bullying, tyrannical leadership, unfriendliness, and exclusion had a significant effect on the increase in work stress, psychological pressure, work stress and intention to quit work. Toxic leadership is the main factor in forming an unhealthy work culture. Social support, especially from supervisors, plays a protective role as a protective factor that mediates these negative relationships. Generation Z was found to be more sensitive to injustice and rights violations in the workplace. The study concludes that organizations need to prioritize psychological safety, implement supportive leadership, and provide tangible organizational policies and support to maintain employees' mental health and reduce work stress rates for long-term organizational sustainability.

This study aims to improve subcontractor safety performance through strengthening governance systems, leading safety indicators, capability building, and performance monitoring at PT Putra Perkasa Abadi (PPA) Jobsite Borneo Indobara (BIB). The research was motivated by the increasing trend of subcontractor incidents during Quarter 1 to Quarter 3 of 2025, where seven incidents occurred and exceeded the company threshold. In addition, subcontractor performance evaluation scores remained below the target threshold of 70, while customer satisfaction scores in subcontractor management decreased from 8.45 to 7.58. The study applied a continuous improvement approach using Quality Control Circle (QCC), Pareto analysis, Nominal Group Technique (NGT), and root cause analysis with the Ishikawa method. Improvement initiatives were implemented through four strategic pillars: strengthening governance, reinforcing leading indicators, capability building, and integrated dashboard monitoring. The implementation results showed significant improvements in subcontractor safety management. The subcontractor incident frequency rate was reduced to zero incidents in Quarter 4 of 2025, subcontractor performance evaluation increased above the threshold to 70.81, and customer satisfaction scores improved to 8.55. The findings indicate that structured governance strengthening combined with real-time monitoring and subcontractor engagement can significantly improve mining safety performance and stakeholder trust.

This study aims to analyze the effect of employer branding on the job interest of Generation Z in digital companies. The background of this research is based on the increasing competition among companies in attracting young talents, especially Generation Z, who have unique characteristics such as being highly adaptive to technology, prioritizing work-life balance, and having high expectations toward the workplace environment. Employer branding has become an essential strategy for companies to build an attractive and competitive image as an employer. This study employs a quantitative approach using a survey method. Data were collected through an online questionnaire distributed to 100 respondents from Generation Z who are seeking jobs or interested in working in digital companies. The sampling technique used was purposive sampling. Data analysis techniques include validity testing, reliability testing, simple linear regression analysis, and t-test. The results indicate that employer branding has a positive and significant effect on Generation Z’s job interest. This implies that the better the company’s image as an employer, the higher the interest of Generation Z to work in the company. This study suggests that digital companies need to strengthen their employer branding strategies to attract and retain young talents.

Cloud job-length prediction remains challenging when the target distribution is highly skewed and contains rare extreme values. This study proposes a log-transformed, regime-based machine learning framework for robust prediction of cloud job length, represented in million instructions (MI). The approach integrates sequential feature engineering, logarithmic target transformation, weighted learning, and regime-aware modeling to distinguish between normal and extreme job-length behavior. Using an ordered GoCJ-derived cloud job-length sequence of 1000 jobs, the dataset exhibits a heavy-tailed distribution, with a mean of 129,662 MI, a median of 93,000 MI, a 95th percentile of 525,000 MI, a 99th percentile of 900,000 MI, and a skewness of 3.695. The proposed model is evaluated against sequential baselines and stronger machine learning baselines, including Naive_Last, RollingMean_5, Global_Log_ExtraTrees, RandomForest, GradientBoosting, and MLP_Log. On the main test split, the proposed Regime_Log_ExtraTrees achieved the best RMSE of 206,255.66 and the least negative R² of −0.01062, while Global_Log_ExtraTrees remained competitive in terms of MAE, MedAE, and RMSLE. Additional walk-forward validation confirms that the regime-aware model consistently achieves the best mean RMSE and mean R² across temporal folds. Ablation results further show that regime-aware learning is the primary contributor to robustness, although accurate prediction of extreme jobs remains challenging. These findings indicate that log-transformed, regime-based learning provides a practical and more robust strategy for cloud job-length prediction under heavy-tailed workload conditions.

Students as pioneers of nation development, must be able to grow and create jobs through developing an entrepreneurial spirit in higher education. The aims of this research are (1) to develop a project-based entrepreneurship learning model and (2) to test the effectiveness of the project-based entrepreneurship learning model to foster students' entrepreneurial motivation in the Primary School Teacher Education Study Program (PGSD) Muhammadiyah University, Purworejo. The method used in the research is the Research & Development model DBR (Design Based Research). The research subjects were 36 students of the PGSD Study Program at Muhammadiyah University Purworejo studying Local Business entrepreneurship. Data were collected using observation, portfolio, questionnaire, interview and FGD methods. The data analysis techniques used in this research are qualitative analysis, percentages, and difference tests (t-test). The research results show that: 1) improvements to the Local Business entrepreneurship learning model are more directed at applicable practicum, and creating graduates who have an entrepreneurial spirit; 2) design and prototype development consists of three components, namely learning objectives, learning methods, and assessment; 3) validation tests and limited tests show that the learning objectives, material content and presentation are in accordance with the content, appearance and language; and 4) product testing using an experimental class determined based on student learning styles, the majority of students have an accommodating learning style, the results of the portfolio assessment show students have very good and good grades, the products produced by student work groups are in accordance with learning styles, and effectiveness tests show The application of project-based Local Business entrepreneurship learning in the PGSD Study Program at Muhammadiyah University, Purworejo, is able to foster students' entrepreneurial spirit very well.  

Introduction: Maximal oxygen volume (VO2max) is the capability of the cardiorespiratory system to deliver oxygen to muscle mitochondria, which is directly proportional to the level of stamina and is obtained from physical activity. Central obesity, which is characterized by excessive accumulation of visceral fat, can cause decreased stamina, so individuals with central obesity tend to have lower VO2max values. VO2max values can be determined by body composition, such as waist circumference, which is an indicator of central obesity. Methods: This study used an observational analytical design with a cross-sectional approach and involved 54 male respondents with high physical activity jobs who worked as building construction workers in Medan City, North Sumatra Province. Waist circumference measurements were carried out using a measuring tape, while VO2max was assessed using a 6-minute walk test. Statistical analysis was performed using the Spearman correlation test with a significance level of 0.05. Results: A total of 47 respondents (87%) had a normal waist circumference, 31 respondents (57.4%) had a fair VO2max, and 16 respondents (29.6%) had an average VO2max. The analysis showed a significant relationship between waist circumference and VO2max, with a P value of 0.000 (P<0.05) and R = -0.658. Conclusion: There is a strong and significant negative correlation between waist circumference and VO2max. This indicates that a larger waist circumference results in a lower VO2max, and a smaller waist circumference results in a higher VO2max.

Bulay Village has an entrepreneurial spirit, with the idea of creating, developing, and managing new businesses and exploiting its papaya production potential. This innovation involves processing papaya chips (kreeyaa), which is expected to increase income. The goal of the PKM is to improve the community's economy by providing training and guidance on processing papaya into marketable products, motivating the community to generate creative ideas using existing resources, and establishing papaya chips businesses. The method used is partisipatory Action Research, an approach based on the assets, strengths, and potential of the community. Entrepreneurship mentoring seminars and training on making papaya chips (kreeyaa) in Bulay Village are expected to create jobs, develop community skills, and increase income by leveraging potential assets.

The rapid advancement of Artificial Intelligence (AI) has significantly disrupted the global labor sector, including in Indonesia. The urgency of this study lies in the growing inequality in access to digital skills and the lack of legal protection for workers in the digital era. This research aims to analyze the impact of AI on employment in Indonesia and to assess the adequacy of labor regulations in addressing digital transformation. This study employs a normative legal method with a juridical-empirical approach, utilizing literature review, secondary data, and qualitative analysis of labor policies and relevant regulations. The findings reveal that while AI has the potential to create new types of employment, it also threatens conventional jobs, especially in labor-intensive sectors. Moreover, Indonesia's labor regulations have not yet adapted to new, flexible, and platform-based work models, resulting in legal uncertainty for informal and freelance workers. This study contributes to the discourse on the need for labor law reform that is inclusive and adaptive to technological developments. In conclusion, there is a pressing need for responsive labor regulation reform, increased digital literacy, and continuous reskilling systems to ensure that AI-driven transformation does not create new inequalities in the labor market. Future research is recommended to focus on formulating new legal protection models for digital workers in the AI era.

This research focuses on the use of social media among Gen Z students at the Faculty of Economics, Universitas Nasional Pasim, specifically in their first semester, with the primary obejctive of identifying the impact of social media usage on entrepreneurial interest Gen Z. Utilizing a quantitative method with a population of 94 individuals and a sample derived using a 5% margin, data were collected through questionnaires. The analytical results through validityand reliability tests confirmed that all data were both valid and reliable, while the simple regression analysis indicated that the regression model is feasible and relevant. This is evidenced by an R-Square value os 0.575, showing that 57,5% of the variation in entrepreneurial interest is influenced by social media usage, while the remaining 42.5% is affected by external factors. Furthermore, the F-count of 19.580 exceeds the F-table of 3.10, proving that social media usage significantly impacts entrepreneurial interest for instance, platforms like TikTok serve not only as entertainment but also as vital tools for information, business learning, and promotion. Such platforms encourage students to develop the courage to build businesses and foster independence, creativity, risk taking and readiness to create jobs and face future economic challenges. Ultimately, utilizing social media in a positive and productive manner serves as an effective strategy for cultivating the entrepreneurial spirit an dinterest among Gen Z.  

Micro, Small, and Medium-Sized Enterprises (MSMEs) are critical to the Indonesian economy because they provide jobs and boost the local economy. However, MSMEs continue to disregard the Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM). With assistance from the Lampung Provincial Leadership Council (DPP) of the Indonesian Employers Association (APINDO), this study aims to investigate the factors influencing the use of SAK EMKM in MSMEs. SAK EMKM socialization, business size, length of operation, and educational background are among the factors analyzed. Survey-based quantitative approach is used in this study. 107 MSMEs received questionnaires from APINDO DPP Lampung in order to gather primary data. Multiple linear regression analysis, validity tests, reliability tests, and traditional assumption tests were performed on the data using SPSS software. Partial tests (t-tests) and coefficients of determination were used to test hypotheses. The study's findings show that SAK EMKM use in MSMEs supported by APINDO DPP Lampung is influenced by educational background, length of operation, and socialization. Meanwhile, SAK EMKM's use is mostly unaffected by the size of the company. This finding implies that the adoption of SAK EMKM is more influenced by the socialization, business experience, and skill levels of MSME members than by the size of the firm. It is anticipated that this study would help academics and MSME participants use SAK EMKM more effectively in order to achieve sustainable MSME financial management.

Almost all formal workers dedicate all their time and energy to their companies during their productive years. As a result, it is very difficult for workers to start other businesses besides their formal jobs. Without the skills and strategies for entrepreneurship, many workers find it difficult to survive when they reach retirement age. From a sustainable human resource management perspective, the retirement preparation period (MPP) is a strategic phase for maintaining the social welfare of employees and taking preventive measures to address post-retirement social issues such as decreased productivity, economic dependence, and individual social roles. For employees who will enter retirement age in the next two years, PT. Sindopex Perotama regularly conducts MPP training. This year, the MPP training was themed “food security to achieve food self-sufficiency in retirement.” PT. Sindopex Perotama collaborated with LS Farm, Trawas Eduwisata Center (TEC), and a team from KH. A. Wahab Hasbullah University (UNWAHA) Jombang as part of the Tridharma community service program. This activity was achieved by applying the results of evaluations from observations of previous activities so that it was on target through proper planning (identifying needs in collaboration with partners), implementing activities, and providing direct assistance at the activity location. This program is expected to bring about social change, such as greater social welfare for employees approaching retirement age, greater economic independence in terms of food, and greater awareness of the role of retirees in maintaining food availability and social harmony in their neighborhoods. In addition, this program demonstrates sustainable human resource management practices in companies that care about the welfare of their employees until they retire.

Quiet quitting refers to a phenomenon in which employees do not formally resign from their jobs but intentionally limit their work efforts to the minimum required. This study aims to adapt the Quiet Quitting Scale developed by Galanis et al. (2023) into the Indonesian context. A quantitative approach was employed involving 100 respondents drawn from both private and government sectors. The adaptation process included forward translation by three linguists, synthesis of the translated versions, and cultural adjustment to ensure contextual relevance. Data were analyzed using Confirmatory Factor Analysis (CFA) based on a three-factor model consisting of detachment, lack of initiative, and lack of motivation. The results indicate that the Indonesian version of the Quiet Quitting Scale demonstrates acceptable construct validity across the proposed factors. However, several items still require refinement, suggesting that further development and validation with larger and more diverse samples are necessary to strengthen the scale’s psychometric properties.

Unemployment is a socio-economic problem that can threaten the stability of the Indonesian economy. This study analyzes the effect of minimum wages, exports, foreign investment, and the human development index (HDI) on the unemployment raefrom 1990 to 2023. Using the Ordinary Least Square (OLS) multiple linear regression estimation method, to correct bias in the estimation, the Newey-West HAC standard errors approach is used. Minimum wages and foreign investment have a significant negative effect on the open unemployment rate, confirming that wage increases can boost productivity, foreign investment creates direct jobs through the construction of production facilities and economic multiplier effects in supporting sectors. The most surprising finding of the HDI which has a positive effect and exports which are proven to be insignificant on the unemployment rate, this shows that human capital formation is not in line with existing job opportunities due to rapid technological changes, as well as export-increasing policies which focus more on capital intensity. The study provides important implications for policymakers, maintaining and optimizing minimum wage increases and foreign investment in a measurable manner because they have proven effective in reducing unemployment rates. Reorienting export strategies policy from capital-intensive to labor-intensive, increasing the human development index adjusted to technological developments, especially in the business and industrial world.

Competition in acquiring young talent is increasing, so employer branding strategies  are an important element for organizations in attracting the interest of generation Z. As digital natives, generation Z has different characteristics and expectations, including the need for career development, work-life balance, organizational reputation, and an inclusive work culture (Smith, 2022). In the midst of global competition and the increasingly dominant use of digital technology in the job search process, companies are required to build an authentic and relevant employer image in order to increase the attractiveness of their talents. Previous research has shown that employer branding has a significant effect on the interest in applying for jobs for generation Z, either directly or through mediating factors such as organizational reputation and person-organization fit (Backhaus & Tikoo, 2004; Jiang & Iles, 2024). Based on this phenomenon, this study aims to analyze the influence of employer branding on the interest in applying for jobs of Generation Z and examine the role of organizational reputation and person organization fit as a mediation variable. The study used a quantitative approach with a survey method of Generation Z respondents who were looking for a job, then analyzed using multiple regression and bootstrapping mediation test. The results of the study show that employer branding has a positive and significant effect on the interest in applying for jobs for generation Z, and this influence is stronger when the reputation of the organization and the person-organization fit plays the role of mediator. These findings affirm the importance for organizations to build a positive image, provide an inclusive work culture, and highlight the value match between companies and applicants in order to be able to compete in the fight for young talent in the digital era.

Mining operations rely heavily on the performance and reliability of heavy equipment used in the production process. One of the most important hauling units in open-pit mining is the dump truck, which functions to transport overburden and coal from the mining front to disposal areas. Due to high operational intensity, dump trucks require effective maintenance management to ensure equipment reliability and reduce unexpected downtime. However, maintenance activities are often carried out based only on routine service schedules without analytical planning based on historical data. This study aims to analyze the implementation of forecasting methods in maintenance management to improve the effectiveness of dump truck maintenance planning in mining operations. The research was conducted during field work practice at PT Putra Perkasa Abadi Jobsite BIB, Tanah Bumbu, South Kalimantan. The data used were historical maintenance records of dump truck units obtained from the maintenance department. The research method used a quantitative approach with time series forecasting analysis to identify maintenance patterns and estimate future maintenance needs. The results show that forecasting-based maintenance planning can help companies predict maintenance requirements more accurately and prepare maintenance resources more efficiently. Furthermore, the implementation of forecasting methods can reduce unexpected equipment failures and support operational efficiency in mining activities.

Micro, small, and medium enterprises (MSMEs) play a strategic role in growing the local economy and creating jobs. However, many MSMEs still face problems in financial recording and managing production costs. Rempeyek Bu Ning MSME experienced this problem because unstructured financial records made it difficult for business owners to monitor cash flow, calculate profits, and determine selling prices in line with production costs. The purpose of this community service activity is to improve the financial management capabilities of MSMEs by helping them record their finances correctly and calculate production costs. Micro, small, and medium enterprises (MSMEs) play a strategic role in growing the local economy and creating jobs. However, many MSMEs still face problems in financial recording and managing production costs. Rempeyek Bu Ning MSME experiences this problem because unstructured financial records make it difficult for business owners to monitor cash flow, calculate profits, and determine selling prices that are in line with production costs. The purpose of this community service activity is to improve the financial management capabilities of MSMEs by helping them record their finances correctly and calculate production costs.  

The production sector at both the district and city levels is crucial for fostering structural change and boosting economic growth in specific areas. Still, many regions struggle with issues such as linking supply chains, readiness for technology, quality of labor, and efficient policies. This research intends to examine the strategies of the manufacturing sector at the district and city levels to enhance regional competitiveness and promote sustainable economic growth. The study utilizes a descriptive qualitative method based on a review of literature from academic journals, policy papers, and official statistics related to manufacturing progress. Results reveal that several important factors strongly affect regional manufacturing growth. These include the connection of local supply chains, industry strategies focused on the market, the implementation of digital and smart manufacturing methods, innovation encouraged by educational institutions and organizations, and the influence of local governments in developing an effective industrial policy atmosphere. Furthermore, creating designated industrial areas and managing operations efficiently significantly helps attract investments and boost the manufacturing output of regions. The research concludes that a cohesive and tailored manufacturing strategy for each region is vital for improving local productivity, generating jobs, and enhancing economic stability at both district and city scales.

In this case, it refers to the purpose of the content in this final assignment, namely by compiling a schedule for the Implementation of KM.Mutiara Ferindo 5 Ship Maintenance during the docking process at the PT.PAL Indonesia shipyard. Making a schedule includes what components are repaired while the ship is in the shipyard, making a schedule for managing ship maintenance that has been carried out at the shipyard. The data used in this thesis is data from PT.Antosim Lampung Pelayaran Surabaya and the researcher himself. The type of data used in this study is Primary data, in this Primary data the researcher will obtain data obtained directly from the statements of the workers who will be related to the problem being studied and the results of questionnaires distributed to several employees related to this study. In the implementation of repairs, there is a list of jobs that show how many work items must be done. So this list of jobs has been approved to be carried out in the ship repair process. The repair work of the KM. Mutiara Ferindo 5 ship which carries out planned repairs both at the shipyard and when the ship anchors at sea carries out technical and economical maintenance. Repair work on RO-RO vessels involves extensive maintenance, as determined by the ship's office and authorized crew members. The repair work on the KM Mutiara Ferindo 5 was well-planned, including safety equipment and components that play a crucial role in the smooth operation of the ship (maintenance of the entire engine room, deck, safety equipment, and maintenance of the ship's interior and exterior). An economic system was implemented to estimate the remaining funds after maintenance at the shipyard.

This research seeks to examine the influence of digital competency on employee performance, with employee engagement serving as a mediating variable at the Jakarta Mampang Prapatan Tax Office (KPP Pratama). The research employed a quantitative methodology utilizing Structural Equation Modeling (SEM) with Smart PLS, derived from data collected from 106 employees. The findings indicate that digital competency significantly influences employee engagement, which in turn positively affects employee performance. Digital competency also has an indirect effect on how well employees do their jobs by making them more engaged. These results validate that enhancing employee digital competency must be succeeded by bolstering employee engagement to achieve optimal performance improvement. This research makes an empirical contribution to the literature regarding digital competency and work engagement within the public sector and presents practical implications for enhancing human resource capacity to facilitate the modernization of tax services.