Publication Search

This research aims to explore how price and product quality influence purchasing decisions for Y.O.U cosmetics at Panda Lovely Jombang. Given the rapid growth of Indonesia's cosmetics market, Y.O.U has emerged as a local brand offering quality products at competitive prices. Panda Lovely, with its numerous branches across Java Island, is one of Y.O.U’s primary distributors. The study adopts a quantitative approach using associative methods, with data collected through questionnaires from 100 Panda Lovely Jombang customers. Multiple linear regression analysis was employed to examine the relationship between independent variables (price and product quality) and the dependent variable (purchase decisions). The findings reveal that both price and product quality, individually and combined, significantly impact purchasing decisions. Key factors influencing consumer choices include affordability, the alignment of quality with expected benefits, and product durability. This research offers valuable insights for both Panda Lovely managers and Y.O.U producers to refine marketing strategies that cater to consumer needs and preferences.

Social and economic welfare reflects the quality of life in a region and is influenced by local social, economic, and environmental factors. East Java, as the second most populous province in Indonesia, faces challenges in improving the welfare of its residents, particularly due to varying regional characteristics such as employment, education, and population demographics. To understand the patterns of interrelationships among factors affecting welfare, this study conducted a klaster analysis to group regions based on similar characteristics. The klaster analysis employed both hierarchical (complete linkage) and non-hierarchical (K-means) approaches to determine the optimal number of klasters. The results revealed that the level of diversity across regions in East Java tends to be homogeneous in social and economic aspects, with average values exceeding standard deviations. Assumption tests for the klaster analysis confirmed that the data met the assumptions of multivariate normal distribution and dependency.Through hierarchical (complete linkage) and non-hierarchical (K-means) klaster analysis, two main klasters were formed, dividing districts/cities in East Java based on welfare characteristics. Using the complete linkage method, 27 regions were grouped into klaster 1, and 11 regions into klaster 2, while K-means grouped 26 regions into klaster 1 and 12 regions into klaster 2. Out of the six variables used, one variable was found to be insignificant in influencing the klastering results. Based on the mapping results, the grouping aligns with similar criteria, where urban areas predominantly fall into one klaster, and the other klaster is dominated by rural areas.

Damage that occurs to manufactured goods can occur due to several things, such as in the manufacturing process, in the packaging process or during the delivery process. To find out where when the goods were damaged and the factors causing the damage to the goods as well as the efforts made to reduce the damage to the goods, an investigation was carried out at the time of unloading the goods, to find out where the damage to the goods occurred so as not to harm the recipient of the goods if they received the goods in damage condition.Based on multiple linear regression analysis, the results obtained are Y = 3.133 + 0.044 X1, + 0.402 X2 + 0.299 X3 + . Partial test results of machine (X1), material (X2), man power (X3) have a positive and significant effect on damage goods. It is proven by the results of the comparison of the value of t count with t table and with a significant level comparison of 5% (0.05) where the machine variable t count (0.413) < t table (1.98609), material variable t count (3.142) > t table (1.98609), variable man power t count (2.990) > t table (1.98609). The R2 test of machines, materials and man power gave a significant effect on damage goods by 43.6%, while the remaining 56.4% was explained by other causes outside the model variables that were not examined.

BeAbdurrohim Gresik Orphanage Dusun Bunut, Randegansari, Kec. Driyorejo, Gresik Regency, East Java. The orphanage is a non-profit organization, where the orphanage management has full responsibility in matters of trust. which has been given in terms of running the operations of the orphanage. As a form of public sector non-profit organization, one of the sources of funding for orphanages is in the form of donations from regular donors or incidental donors. This research aims to identify the implementation of the Financial Reports of the BeAdburrahim orphanage when viewed from ISAK 35 regarding non-profit organizations. The research was carried out using primary data, namely interviews and field observations, as well as secondary data in the form of financial reports at orphanages. The type of research that will be used is using a descriptive qualitative method by describing the state of the research object and then comparing it with existing standards.

The current problems of income inequality, slow economic growth, and other interrelated complexities are all directly linked to poverty. Finally, all nations must fight poverty in order to provide a recognized and prosperous life for their citizens. Therefore, the aim of this study is to ascertain how poverty will change in Central Java Province between 2017 and 2021 as a result of inequality in income distribution and economic growth. Using quantitative research techniques, this research. Inequality of Income Distribution, Economic Growth, and Poverty The Central Statistics Agency (BPS) of Central Java Province in 2017–2021 is a secondary data source with time series data. In addition, other methods were used to collect and analyze the data. and processed using SPSS 25.0 software. The results of this study indicate that the partial and simultaneous test results show that the Inequality of Income Distribution and Economic Growth does not have an insignificant effect on the Poverty Level. But secondly, when the correlation and determination tests were carried out, the results showed that the two independent variables had a relationship of 64.1% and an influence of 41.1% on the Poverty Level in Central Java Province for the 2017-2021 period.  

The purpose of this study is to ascertain whether the population growth rate and unemployment rate have an impact on the poverty rate in West Java. Population growth and the unemployment rate are the independent variables, followed by the poverty rate as the dependent variable. The time series data used in this study include the years 2019 through 21. Multiple regression using SPSS 25.0 is the analytical approach employed. Where the regression equation, Y = 41,491 + 9,385 X1 + 14,239 X2, is discovered. This demonstrates that the poverty rate in the province of West Java has a unidirectional relationship with both the unemployment rate and population growth. The T test results showed that there was no relationship between West Java's poverty level and the unemployment rate. Additionally, the West Javan poverty rate is unaffected by the population growth variable. The F test indicates that the independent factors collectively have an impact on the dependent variable. The poverty rate is affected by the unemployment rate and population growth to the tune of 7.7%, with other factors affecting the remaining 92.3%.