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This study aims to analyze the quality control of white crystal sugar production at ABC Sugar Factory using the Statistical Quality Control (SQC) method. The research employed a descriptive quantitative approach with a case study design. The primary data consisted of production volume and defective product data during the 2024 production period, while supporting data were obtained through observation and interviews with the Quality Control department. The analytical tools applied included check sheets, histograms, Pareto diagrams, p control charts, and fishbone diagrams. The results show that from a total production of 190,745.89 tons, defective products amounted to 66.70 tons, representing 0.33 percent of total output. The identified defects consisted of wet sugar at 45 percent, brownish sugar color at 30 percent, and oversized sugar crystals at 25 percent. Defective products occurred only during the first to third production periods, while no defects were observed from the fourth to seventh periods. The p chart analysis indicates that the production process was statistically out of control in the early periods but became stable and controlled in the subsequent periods. From a managerial perspective, these findings provide practical guidance for improving manufacturing quality through enhanced process control, equipment maintenance, and workforce capability development.

This research was conducted at Online Shop XYZ, a medical equipment shop that operates online and utilizes technology such as marketplaces and financial applications such as Jubelio. From the research results, it can be concluded that the Jubelio application has an important role for the inventory accounting information system owned by the XYZ online shop. The jubelio application makes it easier for the XYZ online shop warehouse to maintain its stock, the jubelio application can also improve the performance of the warehouse department. The jubelio application also makes it easier for the XYZ online shop which applies the perpetual method to always monitor its merchandise inventory.

Penelitian ini menganalisis pengaruh Usia Harapan Hidup (UHH), Rata-rata Lama Sekolah (RLS), dan Pengeluaran per Kapita (PPK) terhadap Indeks Pembangunan Manusia (IPM) di beberapa kota Jawa Tengah (Magelang, Surakarta, Salatiga, Pekalongan, Jepara, Kudus, dan Tegal) dari 2017 hingga 2022. Metode penelitian melibatkan uji normalitas, uji asumsi klasik, dan analisis regresi berganda. Data berasal dari sumber statistik demografi, pendidikan, kesehatan, dan ekonomi. Hasil penelitian ini diharapkan memberikan pemahaman mendalam tentang faktor-faktor yang mempengaruhi pembangunan manusia, serta mendukung kebijakan yang lebih tepat untuk meningkatkan kesejahteraan masyarakat. Analisis regresi diharapkan mengidentifikasi kontribusi UHH, RLS, dan PPK terhadap IPM, memberikan gambaran peran kesehatan, pendidikan, dan ekonomi dalam pembangunan manusia. Implikasi kebijakan dari penelitian ini dapat mendukung upaya pemerintah meningkatkan kualitas hidup dan kesejahteraan masyarakat di kota yang menjadi ojek penelitian. Penelitian ini memberikan kontribusi pada literatur pengembangan manusia dan kebijakan daerah dengan menggabungkan variabel-variabel penting dan menganalisis dampaknya secara terpadu. Kesimpulan ini menjadi panduan bagi pengambil keputusan dalam merancang kebijakan untuk meningkatkan IPM di kota-kota Jawa Tengah.

Esources such as capital and office infrastructure. Human resources are the most important thing for an institution, because humans have the ability to set goals, collaborate, and work so that planned goals are achieved. Likewise, it is no less important than the office infrastructure in an institution that has a big influence in efforts to increase work efficiency and effectiveness. Therefore, an institution really needs office infrastructure that can be used by employees in carrying out their duties and responsibilities so that administrative activities and other operational activities can run well and smoothly. Office infrastructure is one of the factors that supports the success of an institution in achieving the organization's goals. Office facilities and infrastructure are an important part that need to be prepared ideally and continuously so that they can ensure the smooth running of employee work activities. Considering that office facilities and infrastructure are very important in efforts to facilitate employee work activities, therefore it is necessary to manage adequate facilities and infrastructure. Means are anything that is used as a tool to achieve aims and objectives, means are more indicated for moving objects such as computers and machines. Infrastructure is something that is the main support for the implementation of the process (Business, Development, Project), infrastructure is more indicated for immovable objects such as buildings, space, land. Work effectiveness is a condition that shows the level of success of management activities in achieving goals including quantity work, quality of work, and timeliness in completing work. Effectiveness is often associated with an efficient system, so that the service process takes place effectively, optimally and on time, thereby eliminating the need for overtime work with its implications. The efficiency of work processes, the level of effectiveness of office technology users, and the comfort of the work environment will directly and indirectly influence employee performance in completing assigned tasks. Apart from that, there are also various factors that influence work effectiveness, including: time, tasks, productivity, motivation, work evaluation, supervision, work environment, equipment and facilities. It is logical and appropriate if increasing effectiveness is made one of the government's long-term targets in implementing its strategy. Based on the phenomena presented above, it is clear that the Office of Industry, Trade, Energy and Mineral Resources of North Sumatra Province has not been well managed regarding infrastructure and has not complied with the appropriate regulatory principles. Problems like this should be addressed immediately and maximized so that in the future it can be as good as it should be. If this is resolved, it will certainly create a comfortable and conducive atmosphere so that employees can carry out their work responsibilities well and optimally. Therefore, the researcher was interested and conducted research as a result of an internship, with the title "The influence of the lack of office infrastructure on the effectiveness of employee performance

The Covid-19 pandemic has had a significant impact around the world, including in the health, social, economic and political fields. Therefore, implementing strategic management is very important in dealing with this pandemic. Strategic management is the process of planning, organizing, controlling, and making decisions in achieving long-term organizational goals. In the context of the Covid-19 pandemic, strategic management must be directed at efforts to minimize the negative impact of the pandemic, while maximizing the potential benefits that can be gained from this situation. The implementation of strategic management in dealing with the Covid-19 pandemic can be done in several ways, among others, the first is Strengthening the health system: The first step in dealing with the Covid-19 pandemic is to strengthen the existing health system. This includes increasing hospital capacity, increasing the availability of medical equipment, and increasing the number of available medical personnel.

Poverty is a problem faced by all countries in the world, especially in developing countries. Poverty is a complex problem that is influenced by many related factors, while this study aims to analyze how and how much influence the Human Development Index, Gross Regional Domestic Product and Unemployment Rate have on Poverty Rates in Indonesia in the period 2017 to 2021. This research using multiple regression analysis with panel data as the method of analysis. This research focuses on six provinces in Indonesia as cross section data and the time range from 2017 to 2021 as time series data. The results of the study show that simultaneously there is influence between the human development index variable Gross Domestic Regional Product and the response to poverty. Then partially, the human development index variable has a negative and significant effect on the poverty variable, and for the Gross Domestic Regional Product variable it shows positive and insignificant results on the poverty variable while the relaxation variable shows positive and significant results on the poverty variable. Furthermore, the coefficient of determination shows 99.6.

Based on the fundamental aspects of people's living standards, the measure of progress in human development is called the Human Development Index. As the basis for the development structure of a region, the Human Development Index (HDI) is the most significant benchmark or parameter. The purpose of this study is undoubtedly to ascertain whether poverty in DKI Jakarta Province is influenced by the Human Development Index (IPM) variable. To achieve the research objectives, tests were conducted using simple regression analysis and quantitative techniques. The test results show that poverty in DKI Jakarta Province is significantly affected by the Human Development Index (HDI) because the significance value is less than 0.05. Because the value of determination, or R2, is close to 1, and some of the other influence values are influenced by other variables that have not been analyzed or researched, the value of the results of the Variable Human Development Index (HDI) test has a strong positive influence on poverty in DKI Jakarta Province.  

The Human Development Index (HDI) & expenditure inequality for each province in Indonesia need to be studied whether the Human Development Index (HDI) and expenditure inequality in each district/city in Banten Province have an influence or not. The independent variable is the Human Development Index (HDI) and the dependent variable is expenditure inequality. The research method used is quantitative method using document data from the Central Statistics Agency (BPS) in Banten Province. The results showed that the Human Development Index (HDI) had no significant effect on expenditure inequality. Where if there is a decrease in the Human Development Index (IPM) it is not certain that it will reduce Inequality in Banten Province.

Human Development Index or HDI and Economic Growth in the Regency/City of Banten Province needsto be studied whether the Human Development Index and Economic Growth have influence or not. the studied variable are Independent Variable HDI and Dependent Variable Economic Growth . The research methods used is quantitative method using document data from Central Statistics Agency (CSA) with some literature review. The result showed that HDI had no significant effect on Economic Growth. Where if there is a decrease in the Human Development Index, it can’t be confirmed that it will reduce Economic Growth in Banten Province.   Keywords: HDI, Economic Growth, Banten