Optimization Of Human Resources Research Articles

Human Resource Optimization: Best Practices in Talent Management and Organizational Performance

Human resources are one of the important assets for a company or organization. Maintaining high-value human resources is not something that is easy. Many workers in the millennial generation leave or leave the company without any clear reason, this is what many resource management are afraid of. human power. Because losing a worker is a normal thing that happens and burdens the company, such as lost productivity and damaged morale are one of the reasons behind the high price of losing a worker, therefore an optimal strategy is needed so that employees are comfortable and loyal to the organization or company. The aim of this research is to find out what efforts to optimize human resources are like. This research uses descriptive qualitative research methods and library research which is useful for expanding the discussion. The results of this research are that optimization efforts carried out by implementing talent management strategies by providing training, mentoring and education for employees can have a significant impact on performance for companies or government organizations.

Characterization and Validation of a New 3D Printing Ink for Reducing Therapeutic Gap in Pediatrics through Individualized Medicines.

3D printing technology can be used to develop individualized medicines in hospitals and pharmacies, allowing a high degree of personalization and the possibility to adjust the dose of the API based on the quantity of material extruded. The main goal of incorporating this technology is to have a stock of API-load print cartridges that could be used at different storage times and for different patients. However, it is necessary to study the extrudability, stability, and buildability of these print cartridges during storage time. A paste-like formulation containing hydrochlorothiazide as a model drug was prepared and distributed in five print cartridges, each of which was studied for different storage times (0 h-72 h) and conditions, for repeated use on different days. For each print cartridge, an extrudability analysis was performed, and subsequently, 100 unit forms of 10 mg hydrochlorothiazide were printed. Finally, various dosage units containing different doses were printed, taking into account the optimized printing parameters based on the results of the extrudability analysis carried out previously. An appropriate methodology for the rapid development of appropriate SSE 3DP inks for pediatrics was established and evaluated. The extrudability analysis and several parameters allowed the detection of changes in the mechanical behavior of the printing inks, the pressure interval of the steady flow, and the selection of the volume of ink to be extruded to obtain each of the required doses. The print cartridges were stable for up to 72 h after processing, and orodispersible printlets containing 6 mg to 24 mg of hydrochlorothiazide can be produced using the same print cartridge and during the same printing process with guaranteed content and chemical stability. The proposed workflow for the development of new printing inks containing APIs will allow the optimization of feedstock material and human resources in pharmacy or hospital pharmacy services, thus speeding up their development and reducing costs.

Development of Religious Tourism as an Alternative for Increasing the Sustainable Economy of Rural Communities (An Analysis of the Review of Potentials, Constraints and Solutions in Jambi Province)

This study aims to describe an analysis of the potential, challenges and obstacles to developing religious tourism in Jambi Province as an effort to improve the economy of rural communities. The approach used in this research is qualitative with data collection techniques through interviews, observation and documentation. The results of the study show that Jambi has good potential to develop religious tourism as an alternative in improving the sustainable economy of rural communities. Furthermore, alternative strategies that need to be considered for developing religious tourism include: 1) through exploration activities, 2) variety of objects and supporting facilities, 3) massification of information on religious tourism objects, 4) optimization of human resources managing tourism objects, 5) building adequate infrastructure, and 6) develop supporting policies as well as a legal umbrella. Several tourist objects that can be used as religious tourism icons in Jambi Province include: 1) Mosques, there are several historic mosques in Jambi that can be developed as religious tourism destinations including: ancient mosques, namely: Pondok Tinggi Grand Mosque, Central Island Sacred Mosque, The Nurul Mosque on Jalan Tanjung Pauh, the Ancient Lempur Tengah Mosque in Kerinci which was built during the Dutch colonial era, the 1000 pillar mosque in Jambi City and so on, 2) Temples, there are several temples that have the potential to be developed, including: Muaro Jambi Temple, Kedaton Temple, Pagoda, in Jambi there is a historic temple built around 1800 AD and has the potential to become a tourist attraction, namely the Siu San Teng Temple or the familiar Hok Tek Temple located in Jambi City, and 4) Al-Quran Village located in Penegah Village, Kec. District Warriors Sarolangun was founded in 2018. Keywords: Religious tourism, rural communities, sustainable development. DOI: 10.7176/JESD/14-10-05 Publication date: May 31 st 2023

The influence of implementing electronic flight bag application on aviation safety mediated by the optimization of human resources

The unintegrated use of information technology in the cockpit of Garuda aircraft was the electronic flight bag, with the application of the Garuda electronic flight manual and the Garuda electronic airway manual. This gap would cause potential negligence and delay in distributing paper documents or manuals to the aircraft of Garuda Indonesia Airline. It was necessary to study whether the use of Garuda electronic flight manual software and Garuda electronic airway manual could ease the duties of the Pilot on board the aircraft. This research aimed to know the influence of implementing the Garuda electronic flight manual and the Garuda electronic airway manual on flight safety by optimizing human resources. The study used the Path Analysis method. The samples of this research were 30 pilots as the users and processors of the Garuda electronic flight manual and the Garuda electronic airway manual. The study found that the variable of flight safety was directly influenced by the implementation of the Garuda electronic flight manual, the Garuda electronic airway manual, and the optimization of human resources. In addition, implementing the Garuda electronic flight manual and the Garuda electronic airway manual was the variable influencing flight safety at most.

Barriers and enablers of breastfeeding in mother-newborn dyads in institutional settings during the COVID-19 pandemic: A qualitative study across seven government hospitals of Delhi, India.

The COVID-19 pandemic disrupted newborn care and breastfeeding practices across most healthcare facilities. We undertook this study to explore the barriers and enablers for newborn care and breastfeeding practices in hospitals in Delhi, India for recently delivered mother (RDM)-newborn dyads during the first wave of the COVID-19 pandemic (2020) and inductively design a "pathway of impaction" for informing mitigatory initiatives during the current and future pandemics, at least in the initial months. We used an exploratory descriptive design (qualitative research method) and collected information from seven leading public health facilities in Delhi, India. We conducted separate interviews with the head and senior faculty from the Departments of Pediatrics/Neonatology (n = 12) and Obstetrics (n = 7), resident doctors (n = 14), nurses (labor room/maternity ward; n = 13), and RDMs (n = 45) across three profiles: (a) COVID-19-negative RDM with healthy newborn (n = 18), (b) COVID-19-positive RDM with healthy newborn (n = 19), and (c) COVID-19 positive RDM with sick newborn needing intensive care (n = 8) along with their care-giving family members (n = 39). We analyzed the data using grounded theory as the method and phenomenology as the philosophy of our research. Anxiety among clients and providers, evolving evidence and advisories, separation of the COVID-positive RDM from her newborn at birth, providers' tendency to minimize contact duration and frequency with COVID-positive mothers, compromised counseling on breastfeeding, logistic difficulties in expression and transportation of COVID-positive mother's milk to her baby in the nursery, COVID restrictions, staff shortage and unavailable family support in wards and nursery, and inadequate infrastructure were identified as major barriers. Keeping the RDM-newborn together, harmonization of standard operating procedures between professional associations and within and between departments, strategic mobilization of resources, optimization of human resources, strengthening client-provider interaction, risk triaging, leveraging technology, and leadership-in-crisis-situations were notable enablers. The separation of the RDM and newborn led to a cascade of disruptions to newborn care and breastfeeding practices in the study institutions. Separating the newborn from the mother should be avoided during public health emergencies unless there is robust evidence favoring the same; routine institutional practices should be family centered.

Time series evaluation of condemnation at poultry slaughterhouses enable to export in Southeastern Brazil (2009-2019): a tool for optimizing resources in the poultry production chain.

Even with the technological advances in management, health and genetics applied to poultry farming worldwide, there is still a high rate of carcasses condemnation at slaughterhouses, which result in losses for the poultry production chain. Thus, this work aimed to evaluate the condemnation occurrence index (COI) and adjusted seasonal index (ASI) of poultry (turkey, griller, and heavy chicken) between 2009 and 2019, in a slaughterhouse enable to export in southeastern Brazil. Data were obtained from official spreadsheets from the Brazilian Federal Inspection Service (FIS) and used to calculate the COI, correlation analysis between the main causes of condemnation, and ASI assessments throughout the year. Seven percent (55,594,318) of the poultry carcasses were condemned (partial or total), and the most frequent causes, contamination, and contusion/traumatic injury, amounted to 63.5% of the total condemnation. There was a trend of increasing condemnation throughout the time series evaluated, with COI varying between 45,282-149,809 condemnations per 1,000,000 poultry slaughtered. Considering the ASI, it was identified that for ascitic syndrome, July has a higher index value (1.63) than the months between January-June (P < 0.05). The main causes of condemnation were contamination and contusion/traumatic injury, both technological causes. ASI showed that in July there is a greater carcasses condemnation due to ascitic syndrome than in the months between January and June. The variations observed in the ASIs can provide subsidies for preventive measures and optimization of human and financial resources, generating positive impacts on food safety, productivity, and profitability of the sector.

Model of the activity load of the interrogator during the investigation of fires

Modern trends in the socio-economic development of the state imply the optimization of human resources for law enforcement agencies. This task is also relevant in the context of ensuring fire safety, since determining the optimal number of interrogators of the Ministry of Emergency Situations of Russia will improve the quality of fire investigation and provide a preventive component in reducing the number of fires and damage from them. The balanced structure of the body and the optimal number of employees will ensure the timely and high-quality provision of public services, the consumers of which are citizens of the Russian Federation. Therefore, determining the optimal activity load of an employee in the context of an increase in the service area and reengineering of the number of employees of the federal state fire supervision is a necessary tool in determining the effective structural and staffing of the inquiry agency of the Ministry of Emergency Situations of Russia. The purpose of the article is to develop and propose an approach for predicting the optimal workload of an employee in fire investigation activities. This study proposes an information-analytical model for determining the optimal load of an interrogator of a territorial subdivision of an inquiry agency of the Ministry of Emergency Situations of Russia. The basic factors and criteria influencing the determination of the functional load of an employee in the investigation of fires are considered. Methods and methods for predicting the time spent on performing the main work in the fire investigation activities are given. The activity load of an employee is a constituent element (indicator) in making a managerial decision to form the optimal structure of the body. The use of geoinformation technologies and simulation of prompt arrival at potential fire sites is proposed to determine the optimal territorial boundaries of employee service and use the results obtained in predicting the optimal activity load. Scientific novelty lies in the developed information-analytical model for determining the optimal load of the interrogator of the territorial division of the Ministry of Emergency Situations of Russia, as well as the method for collecting initial data for calculation.

Monitoring Leishmania infantum Infections in Female Lutzomyia longipalpis by Using DNA Extraction on Cation Exchange Paper and PCR Pool Testing

Visceral leishmaniasis remains a serious public health issue, and Brazil was among the seven countries with the highest prevalence of this disease worldwide. The measures to control this disease are not easily developed, and the improvement of its diagnosis, surveillance, and control is still needed. This study aimed to carry out the polymerase chain reaction (PCR) diagnosis of Leishmania infantum in vector samples in some municipalities of the State of São Paulo, which included two municipalities with human disease transmission and two with dog transmission only. Vectors were collected in traps with luminous bait. Next, they were killed at -4 °C and kept in 70% alcohol. Groups of ten female insects (pools) were mashed on cation exchange paper (fine cellulose phosphate with 18 µEq/cm² ionic exchange capacity) for DNA extraction. The PCR was carried out to identify the natural infection of the Leishmania genus in female Lutzomyia longipalpis (Lu. Longipalpis). Out of the 3,880 Lu. longipalpis phlebotomines, 1060 were female and 2820 were male (3:1). The method used to extract the DNA in pools of ten phlebotomines and the PCR resulted in sensitivity, specificity, practicality, and faster analyses when compared to the individual analysis method. The procedure described can be used on a large scale in the leishmaniasis epidemiological surveillance, enabling a higher number of analyses and the optimization of human resources because the traditional diagnostic method is carried out via desiccation of the insect digestive system and microscopic examination, which is time-demanding and there is the need of manual skills.

Research on the Mathematical Model for Optimal Allocation of Human Resources in the Operation and Maintenance Units of a Heavy Haul Railway

According to the existing personnel structure, quantity, development strategy, and market demand of the Shuohuang Railway Company’s operation and maintenance project, the demand quantity of various employees of the company for the past three years is predicted, and a human resource optimization model based on existing human resources and future plans is established. Then, the optimal solutions of the two mathematical models were calculated and analyzed using LINGO software. Finally, combined with the actual situation, the optimal allocation of human resources for the operation and maintenance project of KY company was obtained. The following conclusions are obtained. (1) For the optimal allocation model of existing human resources, the maximum net profit of the optimal staffing model is CNY 3258000. (2) The human resources allocation cost of the minimum dismissal model is CNY 81000. (3) The human resources allocation cost of the lowest cost model is CNY 15500. The research results can effectively guide the human resource management of the operation and maintenance project of the Shuohuang Railway Company, and have important theoretical and practical significance for further analysis of human resources model and its optimal allocation method.

Enterprise Human Resource Optimization Algorithm Using PSO Model in Big Data and Complex Environment.

The distribution of human resources has a direct impact on the HR utilization rate in businesses, which in turn has an impact on the profitability and labor productivity of those businesses. As a result, this article develops an enterprise HR optimal allocation model based on PSO. The concepts of HR and HR allocation are introduced, and a programme for implementing optimal HR allocation in businesses is provided from the perspectives of scale prediction, structure analysis, and implementation. An HR configuration optimization model is established, providing a specific method of quantitative management for HR configuration optimization, at the same time starting from operability, based on the methods of system analysis and quantitative evaluation, and an improved PSO is created to address this issue. Results from numerical simulations demonstrate this algorithm's effectiveness. According to the experimental findings, the improved PSO has a quick convergence rate and a roughly 5% lower average error rate than the conventional algorithm. Moreover, this algorithm's accuracy is roughly 94%. This method offers some targeted tactics for optimizing HR configuration.

Optimal Allocation of Human Resources Recommendation Based on Improved Particle Swarm Optimization Algorithm

People are the most dynamic factor of productivity, and human resource allocation is both the starting point and the end point of human resource management. In modern enterprises, human resource optimization is the scientific and rational allocation of human resources within the enterprise through certain means and methods. The basic concept of particle swarm optimization (PSO) originates from the study of bird predation. It is an evolutionary computation technique based on the swarm intelligence method, which is similar to genetic algorithms and is a population-based optimization tool. This paper is inspired by the ant colony algorithm and introduces the ant colony pheromone and variation algorithm model into the PSO algorithm for further optimization. The application of this improved particle swarm optimization algorithm to the optimal allocation of human resources recommendations is demonstrated by a real case study.

The optimization of human and material resources to increase competitivity of oil and gas service companies

This work has as basis subjects related to resource planning tools such as Sales and Operations Planning (S&amp;OP) and Enterprise Resources Planning (ERP) software and Lean. In this context, the guiding question is: How could human and materias resources be best optimized to deliver an operation with less safet risks, less emissions, less suceptability to market fluctuation condistions, profitability and competivitivty for both operators and service oil and gas companies? The objective of this study was to review existing methods to optimize the use of human and material resources on oil and gas service companies to prevent unavailability of assets or its failures over time. For this, it was adopted as methodology the bibliographic review and an example of a service company create through another article as a study case. As conclusion there is a proposition of best practices and a methodic process that can be directly used on the resource planning of other industries.

Correspondence Model of Human Resource Management and Marketing Based on Genetic Algorithm

In order to realize the optimal allocation of human resources and avoid the waste or relative shortage of human resources, human resources and marketing based on the genetic algorithm are combined together and a combined evaluation management model is established in this study. By constructing a weight vector to represent the evaluation performance of different evaluation models for talent evaluation, the combination problem of multiple evaluation models is transformed into an optimization problem of weights. Based on the evaluation accuracy, the fitness function is designed, the weight vector is optimized by the genetic algorithm, and the individual selection strategy is designed to avoid falling into local optimization. The validity of the model and algorithm is verified by a numerical example, and the calculation results show that the proposed method can gradually improve the average working ability of employed employees by reasonably controlling the number of employment at different periods and the number of dismissals, and the average working ability of employees can be improved by 41%, thus realizing the optimization of human resources for the project.

Evolution of Labor Relations in the Development of Human Resources Based on Improved Genetic Algorithm

This paper systematically constructs a multi-project and a multi-objective human resource scheduling mathematical model in construction projects and puts forward an improved genetic algorithm to solve it by aiming at the problems existing in the process of human resource scheduling and optimization. Specifically, first, the basic mathematical models of GPRs and resource-constrained construction project human resource scheduling problem (RCWSP/GPRs) are established, and the multi-project equilibrium problem is extended. Then, an improved inter-cluster separation (ICS) algorithm is proposed and used to solve the RCWSP/GPRs problem. Finally, on this basis, the mathematical model of multi-project and multi-objective human resource scheduling problem and the solution method based on multi-objective-integrated circuit are proposed. At the same time, the resource-constrained multi-project and multi-skill human resource scheduling problem and the integer programming mathematical model under the generalized priority relationship are proposed. Also, the simulation results verify the accuracy of the proposed algorithm and model.

The Effect of Principal Transformational Leadership, Job Satisfaction and Work Motivation on the Performance of Elementary School Teachers in Halong District

The main key in improving the quality of education is the optimization of human resources, namely teachers. Teacher performance is one of the factors determinant of the success of any educational effort , but there are other factors such as the principal's transformational leadership, job satisfaction and work motivation. Therefore, this study aims to examine the effect of: principal's transformational leadership on teacher performance; satisfaction with teacher performance; motivation on teacher performance; the principal's transformational leadership on job satisfaction, the principal's transformational leadership on work motivation; the principal's transformational leadership on performance through job satisfaction; and principal transformational leadership on teacher performance through work motivation. The population of this study was 180 teachers in 22 schools with a research sample of 124 teachers using proportional random sampling technique. The data in this study was collected using instruments consisting of principals' transformational leadership (30 items), job satisfaction (20 items), work motivation (27 items) which had been tested for validity and reliability. Meanwhile, teacher performance uses teacher documentation. The researchers analyzed the data by using path analysis. The results of the study showed that there was an effect of the principal's transformational leadership on teacher performance, job satisfaction on teacher performance, motivation on teacher performance, principal's transformational leadership on job satisfaction, principal's transformational leadership on work motivation, job satisfaction was an intermediary for the influence of principal's transformational leadership on teacher performance and work motivation is an intermediary of the influence of the principal's transformational leadership on teacher performance.

Strategi Pengembangan Industri Kreatif Pariwisata Ramah Muslim Melalui SOAR Analysis dan Quantitative Strategic Planning Matrix (QSPM)

Halal tourism is one part of the halal industry ecosystem, realizing a world halal hub in 2024. This research supports the presentation of a Muslim-friendly tourism industry, especially in encouraging the improvement of the creative economy (sharia) in Indonesia, which is still relatively increasing but not too significant. Even though Muslim-friendly (halal industry) is not visited only by the Muslim community. his research focuses on discussing halal tourism and sharia economic development strategies as a reference in realizing the halal creative industry in Indonesia. The research method uses SOAR (Strength, Opportunity, Aspirations, Result) and QSPM (Quantitative Strategic Planning Matrix) analysis to determine strategic priorities in realizing the halal industry in the Muslim-friendly tourism sector. The results of the QSPM analysis lead to the optimization of human resources specifically targeting Muslim-friendly tourism expertise through selection, socialization and workshops/training related to functions, the eco-system of halal tourism through the stages on the road maps of halal tourism in Indonesia. through a system that has been formed, the halal certification process is accelerated through mentoring, certification of halal auditors and supervisors so that the form of halal quality products can be guaranteed, with the highest score of 2,4926.

Image Model and Algorithm of Human Resource Optimal Configuration Based on FPGA and Microsystem Analysis

Human resources are the most dynamic factor among all productivity factors. The goal of human resource management is to achieve effective and optimal allocation of resources, while the goal of optimal allocation is to promote the realization of corporate goals. At present, the overall domestic human resource management is relatively backward, and most of it is nonstandardized management, and the level of informatization and technology is not high. Therefore, this paper proposes the image model and algorithm research of human resource optimization configuration based on FPGA and microsystem analysis. First, through the data analysis method, in-depth study of traditional resource allocation algorithms: genetic algorithm and particle swarm optimization algorithm, combined with machine learning algorithms, established a human resource optimization configuration model based on FPGA and microsystem analysis, and then optimized the configuration of human resources for the impact The standard deviation and variance measurement of 18 factors of the company, as well as the analysis of the matching degree between employees and positions, and required capabilities. Finally, it is concluded that the sample average is higher and the top three are employees’ positive spirit A12, employees’ executive ability A15, and the relationship between salary and performance A11. The sample averages are 4.615, 4.522, and 4.479, respectively; standard deviation of the three factors with the smallest values are good values A8, strong employee cooperation ability A17, and perfect reward and punishment system A16. This shows that the above considerations should be considered in the optimization of enterprise human resources. Moreover, the algorithm in this paper is easier to obtain the optimal solution, and it is easier to obtain the optimal allocation result of human resources.

Designing a Model for Human Resource Optimization in the Red Crescent Society of Yazd

INTRODUCTION: Various studies have demonstrated that rescuers enjoy higher levels of self-efficacy and quality of life, as compared to ordinary people. Moreover, the constant and sometimes prolonged presence of Red Crescent Society rescuers at the scene of disasters makes them more prone to the emotional impact of crises, in comparison with ordinary rescuers. METHODS: The present study was conducted based on a causal-comparative (ex-post facto) design. The statistical population included 200 cases, and the sample size was equal to 120 (60 rescuers and 60 non-rescuers who were selected via the random sampling method). Scherrer self-efficacy questionnaire (1983), quality of work life questionnaire (1973), and Coopersmith self-confidence questionnaire (1967) were used to collect data, and data analysis was performed by analysis of variance. FINDINGS: As evidenced by the obtained results, the highest and lowest percentages of rescuers were in the age group of 20-30 (51.92%) and under 20 years (5.77%), respectively. In terms of education, the highest and lowest percentages of rescuers had a bachelor’s degree (61.7%) and high school education (1.7%). Furthermore, the highest and lowest percentages of non-rescuers were permanent (63.73%) and contract employees (1.7%), respectively. CONCLUSION: The results pointed out that rescuers enjoyed higher levels of self-confidence, quality of work life, and self-efficacy, as compared to non-rescuers.

Human Resources Optimization (Case Study on Private Company in Palembang City)

This research uses qualitative research techniques with a case study approach. Data obtained through interviews, observation, and document review. The technique of selecting informants is carried out purposively (purposive sampling) based on certain characteristics, namely (1) Working in a private company, (2) Having at least one year experience as a manager, (3) Carrying out human resource management functions. The instrument in this study was the researcher himself as the main data collection tool. The purpose of this study was to determine the optimization of Human Resources in private companies in the city of Palembang. The results of this study indicate that human resources (employees) are company assets, which are the main support for organizational goals. Potential human resources need to be maintained by continuing to develop employee competencies and skills. The development program implemented by PT. Karya Makmur and PT. Tugu Mandiri Jaya in the form of training carried out based on NAT (Need Analysis Training). PT. Karya Makmur applies various training techniques, including: case studies, roleplaying, and a lecture system. Meanwhile, PT. Tugu Mandiri Jaya applies training techniques such as: in-service training, vestibule training, and simulation.

Human Resource Planning and Configuration Based on Machine Learning.

Human resources are the core resources of an enterprise, and the demand forecasting plays a vital role in the allocation and optimization of human resources. Starting from the basic concepts of human resource forecasting, this paper employs the backpropagation neural network (BPNN) and radial basis function neural network (RBFNN) to analyze human resource needs and determine the key elements of the company's human resource allocation through predictive models. With historical data as reference, the forecast value of current human resource demand is obtained through the two types of neural networks. Based on the prediction results, the company managers can carry out targeted human resource planning and allocation to improve the efficiency of enterprise operations. In the experiment, the actual human resource data of a certain company are used as the experimental basic samples to train and test the two types of machine learning tools. The experimental results show that the method proposed in this paper can effectively predict the number of personnel required and can support the planning and allocation of human resources.