Rescollacomm (E-Journals)
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Effect of Ethnic Diversity on Employee Performance at the National Museum of Kenya
According to the assessment report from the Quality Assessment and Performance Improvement Strategy, it was identified that the staff members of the state corporations in Kenyan exhibited low performance levels, leading to a decline in employee satisfaction. The National Cohesion and Integration Commission (NCIC) audit report revealed disparities in race and ethnicity within the corporations. The primary objective of the research was to examine the impact of ethnic diversity on the performance of employees at the National Museum of Kenya. The research drew guidance from similarity/attraction theory. In the study, a descriptive cross-sectional survey design was employed. The total population comprised 550 employees at various personnel levels at the National Museum of Kenya headquarters. A population sample of 110 members was selected through Stratified random sampling. Data was collected using a semi-structured questionnaire administered to the chosen sample. To ensure the reliability of the instrument, Cronbach\u27s Alpha was employed. Descriptive statistics was utilized for analysis of quantitative data, with the results presented through tables, figures, graphs, and prose. The research uncovered significant positive correlations between ethnic diversity and employee performance within the National Museum of Kenya. This underscores the importance of cultivating diversity when hiring personnel, as it contributes to enhanced performance. Furthermore, ensuring equal opportunities for promotion fosters employee motivation and dedication. To maximize the benefits of ethnic diversity, organizations should actively promote it and harness the collaborative potential of diverse work groups to improve both individual and organizational performance
The Effect of Company Size and Working Capital on Net Income (An Empirical Study of Manufacturing Sector Companies in the Consumer Goods Industry, Home Appliances Sub-Sector Ladder Registered on the IDX from 2015 to 2020)
This study examines how working capital and firm size affect net profit (Empirical Study of Manufacturing Companies in the Consumer Goods Industry Sector, Household Appliances Sub Sector Listed on the IDX for the 2015 – 2020 period). Multiple linear regression analysis was used to determine the effect of two independent variables on one dependent variable. The population in this study is financial reports published by Manufacturing Companies listed on the IDX in the Consumer Goods Industry Sector, Household Appliances Sub-Sector. The sample was taken for six years, from 2015 to 2020, using the Financial Position Report and Profit and Loss Reports to obtain data, Company Size, Working Capital, and Net Income. According to the study\u27s findings, firm size and working capital both have positive and substantial effects on net profit, with the latter having an influence on net profit that is both positive and significant. Other factors that influence Net Profit but are not analysed include the 83.3% outcome of the Coefficient of Determination and the remaining 16.7%.
Analysis of Financial Distress using the Altman Z-Score Model, Springate Model, Zmijewski Model, and Grover Model
The tight competition in the business world in the automotive industry that occurs in the current era of technology and development means that companies must have broad and clever thinking to keep the company from the brink of failure. During this research period there was a decline in automotive sales and company profits in the automotive and component sub-sectors listed on the IDX for the 2016-2020 period. This research aims to find out which prediction model is the most accurate and precise in predicting financial difficulties using model accuracy tests. The population in this study was 13 companies, then a purposive sampling technique was used to obtain 10 companies that were included in the research criteria. The results of this research show that the Altman Z-Score, Springate, Zmijewski and Grover models have different results, the Altman model predicts that there are 5 companies that are indicated to be healthy, 3 companies are in the Gray area, and 2 companies are indicated to have the potential to go bankrupt, the Springate model predicts that there are 5 companies healthy and 5 unhealthy companies, the Zmijewski model predicts that there are 9 healthy companies and 1 company that is indicated to have the potential to go bankrupt, the Grover model predicts that there are 7 healthy companies and 3 companies that are indicated to be unhealthy. With these results, the financial distress model with the highest accuracy is the Zmijewski model with an accuracy level of 92%, while the accuracy levels of the Altman Z-Score, Springate, and Grover models are 76%, 44%, and 76% respectively. With these results, the Zmijewski model is the most suitable model for use in automotive and component sub-sector companies in 2016-2020
Capacity Building Of Rural Society: The Contribution Of Pakuan University\u27s Students In Enhancing Community Empowerment In Paseban Village
In the era of globalization, adapting to changes is crucial for individuals to compete in business development. Saung Lebah Madu Paseban, located in the village of Paseban, Megamendung, faces challenges due to limited human resource utilization attributed to a lack of skills, knowledge, and motivation among the locals. To address these issues, the community is being empowered through direct training and coaching activities, including practical sessions on making honey-based products like soap, jelly, and aromatherapy candles. Additionally, residents receive training in marketing and finance. The success of this empowerment initiative depends on the active participation and determination of the community members. Questionnaires distributed before and after the training sessions reveal that a significant number of individuals have genuinely benefited from the activities. The training outcomes demonstrate a clear improvement in the understanding and abilities of the participants, as evidenced by their honest feedback. Utilizing clustering analysis with the K-Means algorithm, participants are grouped into clusters based on their knowledge levels—cluster 1 (High Knowledge) and cluster 2 (Low Knowledge). Overall, the training not only enhances the community\u27s understanding but also equips them with the skills to produce high-quality honey derivative products
The Influence of Work Motivation, Organizational Culture, and Work Discipline on PT Employee Performance. Pelindo Regional 2 Cirebon
This research aims to determine the influence of work motivation , organizational culture, and work discipline on the performance of PT employees. Regional Pelindo 2 Cirebon. This study uses a quantitative approach. The population in this research is employees of PT. Pelindo Regional 2 Cirebon consisted of 150 respondents and the sample used in this research was a saturated sample. Data were collected through a 1-5 Likert scale questionnaire, and then tabulated using statistical analysis with the SPSS computer program. The collected data will be analyzed in several stages, the first stage is testing the validity and reliability of the research instruments, testing classical assumptions, and finally multiple linear regression analysis. The research results show that work motivation does not significantly influence employee performance, organizational culture has a positive and significant influence on employee performance, and work discipline has a positive and significant influence on employee performance. The results of this research prove that the variables of work motivation, organizational culture and work discipline simultaneously influence the performance of PT employees. Pelindo Regional 2 Cirebon, and its influence is positive. Employees who have good performance can make a significant contribution to achieving company goals. They will help increase productivity, innovation and customer satisfaction
Calculation of Term Life Insurance Premium Reserves with Fackler Method and Canadian Method
Every individual around the world goes through the life cycle of birth and continues their journey with unique experiences. The uncertainty of the future, which includes both happiness and calamity, is a universal aspect of human life. Life risks, such as illness and death, are an unavoidable reality for every individual in this world. Life insurance is one of the solutions to manage these risks, with term life insurance being one of the options. The focus of this research lies on term life insurance, with the aim of calculating premium reserves using the Fackler and Canadian methods. This research is concerned with the process of calculating premium reserves, and the results show that the Fackler method produces a larger premium reserve value compared to the Canadian method. Recommendations are given to companies to use the Fackler Method in calculating term life insurance premium reserves to avoid potential losses that could occur if using the Canadian method. The choice of premium calculation method is a strategic key in effective risk management for the company
Comparison of Agricultural Insurance Premium Prices Based on Rainfall Index and Based on Corn Commodity Production Prediction Index in Grobogan District
In running an agricultural business, there is a big risk because farmers\u27 productivity is very dependent on nature, and to reduce the risk of crop failure, the government provides a program to minimize losses from crop failure, namely agricultural insurance, through Law Number 19 of 2013 . This article aims to compare agricultural insurance premium prices based on the rainfall index and the production prediction index for corn commodities in Grobogan Regency. The results of this article are based on the reference used of 3% of compensation, namely IDR 344,872.5, and the results that are close to the reference are the price of insurance premiums based on the 5th simple average method corn production prediction index of IDR 356,433.58 . However, the premium price used as a reference previously was the gross premium price from AUTP, so the insurance premium price for Corn Farmers (AUTJ) was obtained, namely IDR 310,385.25. As a result, we obtained premium price results that were closest to the reference from AUTJ, namely at the 4th percentile, when the agricultural insurance premium price based on the rainfall index was IDR 330,155.76 per planting season
Socialization of Factors that Influence Exclusive Breastfeeding Practices and Their Implications for Stunting Prevention in Tasikmalaya City, West Java, Indonesia
Stunting is still a national health problem in Indonesia, and one of the contributing factors is the lack of exclusive breastfeeding practices. This research aims to analyze the factors that influence the practice of exclusive breastfeeding in Tasikmalaya City, West Java. The case-control method was used in this research involving 4 Community Health Centers in Tasikmalaya City. Data was collected from mothers with children aged 6-12 months who were exclusively breastfed and those who were not exclusively breastfed. The research results show that husband\u27s support has a significant influence on the success of exclusive breastfeeding practices. Apart from that, maternal knowledge also influences the perception of breast milk insufficiency. Other factors such as IMD practices and media exposure did not show a significant relationship. Re-socialization efforts are needed regarding the importance of exclusive breastfeeding, increasing mothers\u27 knowledge, as well as actively involving fathers\u27 groups in programs to increase exclusive breastfeeding
Talent Classification: Recognizing and Developing Personal Potential Optimally at Tarsisius Vireta High School
Knowing students\u27 talents and interests from an early age is very important to help them develop their potential more effectively. Every individual is unique, and the process of identifying talents and interests requires patience and a deep understanding of the student. With a good approach, we can help students develop their potential optimally. This research aims to explore the potential of students at Tarsisius Vireta High School using a talent classification approach. In the educational context, recognizing and developing students\u27 potential is the key to achieving personal success and positive contributions to society. The research method used is qualitative with data collection techniques through questionnaires given before (Pre Test) and after (Post Test) the seminar given to students. The data obtained becomes evaluation material in determining how much students know the talents each student has. Based on the results of the analysis, it was found that there was a significant increase in students\u27 awareness of their talents and interests, as well as their ability to identify and categorize talents. With a deeper understanding of students\u27 potential, it is hoped that education at Tarsisius Vireta High School can be more optimal in developing students\u27 talents and interests, so that they are ready to face the future with confidence and honed abilities
Game Online dan Kesehatan Mental Generasi Z: Studi Kasus pada Remaja Pria di SMK MAN 5 Tasikmalaya
This research investigates the impact of online games on the mental health of Generation Z, with a focus on male adolescents at SMK MAN 5 Tasikmalaya. Quantitative research methods were used to collect data through questionnaires regarding the duration of playing online games and observations of mental health. The results of data analysis show that there is a significant relationship between the duration of playing online games and mental health in male adolescents. It was found that online gaming addiction can result in decreased mental health, including social isolation, decreased academic performance, and emotional disorders. Therefore, efforts need to be made to manage the use of online games wisely to minimize the negative impact on Generation Z\u27s mental health