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What Drives Low-Human Development in South Bangka Regency? Integrating with ARIMA Forecasting
No full textThis research aims to analyze the increase in the components of the human development index (HDI) in South Bangka Regency, namely (1) Life Expectancy (LE), (2) and Mean Years of Schooling (MYS), (3) Per Capita Expenditure (PCE). This research also aims to test the autoregressive integrated moving average (ARIMA) time series model to predict the three HDI components. The data in this study uses secondary data obtained from various sources from 2011 to 2022. The results of our study show that, Life expectancy is influenced by access to clean water and the number of doctors in South Bangka Regency, the mean years of schooling are influenced by the number of elementary school teachers and the education budget, and the increase in per capita expenditure is influenced by the increase in government spending. The prediction results show that this model is accurate enough for forecasting. The research results show that the ARIMA model has the best performance for predicting LE, MYS, and PCE where the LE ARIMA model is (2,2,2), the MYS ARIMA model is (3,1,1), and the ARIMA PKE model is (2,1,2)
The Role of Digitalization on the Development of MSME in Business Actors Bangka Typical Souvenirs in Pangkalpinang City
No full textRapid technological advancements occur in almost all countries, including Indonesia.One field affected by technological progress is the economy. Indonesia’s economic strength includes the continuous development of Micro, Small, and Medium Enterprises (MSMEs). Digitalization plays a significant role in advancing MSMEs and thus the economy. This study aims to analyze the role of digitalization in the development of MSMEs among traditional snack business owners in Pangkalpinang City. Sampling was done using purposive sampling technique with a population of traditional snack business owners, particularly those dealing with sea products, with a sample size of 70 respondents. Data collection was conducted through an online questionnaire using Google Form platform. The data analysis method employed in this study is Partial Least Square using SmartPLS software, utilizing both outer and inner models. Research findings indicate that digital marketing, financial literacy, and financial technology have a positive and significant impact on the development of MSMEs among traditional snack business owners in Pangkalpinang City
Sectoral Classification And Regional Imbalance Of Mamminasata National Strategic Area
No full textThis study aims to analyze the economic structure in the Mamminasata National Strategic Area by using quantitative research methods, based on data sources from the Central Bureau of Statistics using 3 analyses namely Location Quotient, Klassen Typology, and Williamson Index. The results of this study show that there are no significant changes in the economic sector in KSN Mamminasata between 2018 and 2022. Although there was a decline in 2020 due to the Covid-19 pandemic, economic growth in the region increased again in 2021. The Klassen Typology analysis shows that Makassar City is categorized as a fast-developing and fast-growing area, while Maros Regency and Sungguminasa Regency are categorized as fast-growing areas, Takalar Regency as a developed but depressed area. The Williamson Index shows that development inequality in KSN mamminasata is stabilizing and even decreasing from 2018 to 2022. Despite some challenges, KSN Mamminasata shows the potential for positive and sustainable economic growth
The Effect of Socio-Economic Factors on Property Crimes in the Gerbangkerto- susila Area
No full textCrime is a severe problem for every region because it harms many people, especially property crimes. Factors such as poverty, unemployment, and education are some of the factors that are assumed to influence crime in a country or region. This research aims to determine the influence of poverty levels on property crimes, the impact of unemployment levels on property crimes, the influence of average years of schooling on property crimes, and the influence of poverty levels, unemployment rates, and average years of education together against property crimes. The research method uses panel data regression with the Fixed Effect Model (FEM). The data from the East Java Central Statistics Agency, namely data from the Gerbangkertosusila Region (Gresik, Bangkalan, Mojokerto, Surabaya, Sidoarjo, Lamongan) for 2018 - 2022. The research results show that the poverty level significantly affects property crime, and the unemployment rate has a negative impact. Not significantly on property crimes, and average years of schooling significantly negatively affect property crimes.Property crime is one of the serious problems commonly caused by poverty, unemployment, and education in both a region and a country. The aim of this research is to find out the impact of poverty rates, unemployment rates, and average school age on property crime. The research method uses panel data regression with the Fixed Effect Model (FEM). Source data from the Central Statistical Agency of East Java is data from the Port of Gerbangkertosusila Region (Gresik, Bangkalan, Mojokerto, Surabaya, Sidoarjo, Lamongan) in 2018–2022. The results of the study show that the poverty rate variable has a significant positive impact on property crime, while the unemployment rate and average length of education have a negative impact on property crime. The advice to the government in responding to this problem is to educate communities of all ages not to commit non-crime. Besides, improving the quality of education and providing more jobs should also be done by the government. In this study, of course, there is a limitation in terms of research time of only 5 years because of the limitation of obtaining related data from related data sources
Sectoral Classification and Inequality of Kedungsepur National Strategic Area of Central Java Province
No full textThis study examines economic inequality in the Kedungsepur National Strategic Area, Central Java Province, which is still high despite the potential of leading sectors in each region. The objective is to identify leading sectors and analyze economic inequality in the region. The methods used include Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Klassen Typology analysis, with secondary data from the Central Bureau of Statistics during the 2019-2023 period. The results show four leading sectors: Agriculture, Forestry, and Fisheries in Kendal; Government Administration in Demak; and Financial Services in Grobogan. However, not all regions have leading sectors, such as Semarang and Salatiga. The Williamson Index reveals that economic inequality in the region is still significant, indicating the need for strategies to maximize the potential of the leading sectors.In conclusion, although there are leading sectors that can boost the economy, inequality between regions in KSN Kedungsepur remains a challenge that must be overcome to achieve more equitable development
Analysis of Farmer Household Food Security in Sedenganmijen Village, Krian District, Sidoarjo Regency
No full textFood security in a region can be measured from food availability, purchasing power, and consumption level of the population. The study aims to determine household expenditure priorities by analyzing consumption patterns and the level of resilience of farmer households as a form of prevention or handling of food insecurity problems. So a quantity analysis with Daily Value (RDA) and quality analysis with Food Hope Pattern (PPH). The study site was taken purposively. Sedenganmijen Village makes agricultural workers as its main and side livelihood. The sampling method uses saturated sampling (census). The sample selected in this study was 35 farmworker households through a food recall questionnaire within a week. The results of the study explained that the level of resilience in Sedenganmijen Village of 334.93% can be said to be food secure with a food security level exceeding 91-110% AKE. Meanwhile, the diversity of household consumption patterns with a PPH Score of 88.27 where the figure is still less than the provisions of the Normative Income Tax Score, which is 100. So it needs to be done to increase knowledge on the consumption of nutritious, diverse, balanced, and safe food (B2SA)
Factors Affecting Stunting in Merawang District, Bangka Regency
No full textThis study focuses on analyzing the factors influencing Stunting occurrences in the Merawang Subdistrict, Bangka Regency. Stunting is a chronic nutritional deficiency condition that leads to impaired physical growth in children, as measured by height below age-standard norms. The research adopts an observational approach with a cross-sectional design to explore the relationship between parental education levels, occupation, family income, and early marriage with Stunting prevalence in the region. The study findings reveal that low parental education levels, particularly among mothers, are closely associated with an increased risk of Stunting in children. Additionally, parents working as daily wage laborers with uncertain incomes contribute to inadequate provision of nutritional intake. The research also identifies that low family income typically ranging from IDR 1,000,000 to IDR 2,000,000 per month limits access to nutritious food and adequate healthcare services. Surprisingly, early marriage does not show a significant correlation with Stunting occurrences in this area. The study underscores the importance of improving education and economic stability as crucial steps in combating Stunting. Efforts to raise awareness and enhance access to better education, along with economic interventions to boost family income, can be effectzive strategies for reducing Stunting prevalence in the Merawang Subsdistric
Analysis of Community Income Inequality in Java Island
No full textThis study aims to find out the analysis of Income Inequality in the community in Java province in 2019-2023. The analysis unit covers six provinces using secondary data obtained from the Central Statistics Agency of Indonesia. The Dependent Variable in this study is the Gini Ratio and, the Independent Variables are Poverty, Labor Force Participation Rate and Unemployment. The analysis tool used is the Data Panel Regression with the Fixed Effect method. The results of the study show that 1) poverty has a positive and significant effect on income inequality, 2) the labor force participation rate has a positive and significant effect on income inequality and 3) unemployment has a negative and significant effect on income inequality (gini ratio). Therefore, provincial governments on the island of Java should expand access and improve skills that are in line with the needs of the labor market. Further research is expected to use a more comprehensive approach by adding more in-depth variables, in order to better understand the dynamics of income inequality
The Influence of Foreign Direct Investment, Portfolio Investment, Remittance Receipts, Exchange Rates on Economic Growth in 10 APEC Countries
No full textEvery country has problems and challenges related to the influence of factors that influence economic growth. Many things influence the economic growth of a country. This research aims to determine the effect of foreign direct investment, portfolio investment, remittance receipts, exchange rates on the economic growth of 10 APEC countries (Australia, Canada, China, Chile, Japan, Malaysia, Mexico, New Zealand, the Philippines and Russia). This research method uses panel data regression analysis. The results of this research show that partially foreign direct investment (x1) has a positif and significant effect on the economic growth of 10 APEC countries. Portfolio investment (x2) has a negative and insignificant effect on the economic growth of 10 APEC countries. Remittance receipts (x3) have a negative and insignificant effect on the economic growth of 10 APEC countries. The exchange rate (x4) has a negative and insignificant effect on the economic growth of 10 APEC countries. In conclusion, this research shows that of the four variables studied, only the foreign direct investment has a significant positive influence on the economic growth of 10 APEC countries. Other variables, such as portfolio investment, remittance receipts, and excange rates do not show a significant influence on the economic growth of these countries.This research aims to analyze the influence of foreign direct investment, portfolio invest- ment, remittance receipts, exchange rates on the economic growth of 10 APEC countries (Australia, Canada, China, Chile, Japan, Malaysia, Mexico, New Zealand, the Philippines and Russia). This research method uses panel data regression analysis, the data used is secondary data obtained from the World Bank Website. The research results show that partially foreign direct investment (x1) has a positive and significant effect on the economic growth of 10 APEC countries. Portfolio investment (x2) has a negative and insignificant effect on the economic growth of 10 APEC countries. Remittance receipts (x3) have a negative and insignificant effect on the economic growth of 10 APEC countries. The exchange rate (x4) has a negative and insignificant effect on the economic growth of 10 APEC countries. This research provides important insights into how various types of investment and other economic factors interact to influence economic growth in APEC countries. By understanding these relationships, policymakers can design more effective strategies to attract investment, leverage remittances, and maintain exchange rate stability to promote sustainable economic growth
Environmental, Social, And Governance (Esg), Sustainable Growth Rate (Sgr) And Firm Value On Stock Returns Esg Sector Leaders Kehati And IDX80
No full textThis study aims to analyze the relationship between ESG factors, SGR, and firm value on stock performance in the ESG Leaders KEHATI and IDX80 sectors. The research method used is associative research method. Associative research is usually conducted to evaluate the influence or relationship between the independent variable and the dependent variable. The sample in this study was selected based on certain criteria. In this case, the study used a sample of 51 companies listed on the ESGSKEHATI Index major evaluation for the period June to November 2023, and IDX80 major evaluation for the period August 2023 to January 2024. Testing the ESG variable shows that this variable has a positive influence on stock returns. This is known from the t-count value of 3.303 which is greater than the T table value (2.012), as well as the significance value (Sig.) of 0.002 which is smaller than 0.05. Testing the SGR variable shows that this variable has a negative effect on stock returns. This can be seen from the t-count value of -2.969 which is greater than the T table value (2.012), and the significance value (Sig.) of 0.002 which is smaller than 0.05. Testing the PBV variable shows that this variable has no significant effect on stock returns. This can be seen from the t-count value of 1.654 which is smaller than the T table value (2.012), as well as the significance value (Sig.) of 0.105 which is greater than 0.05. By analyzing the relationship between ESG factors, SGR, and firm value on stock performance, this research will provide valuable insights for companies in the ESG Leaders KEHATI and IDX80 sectors in developing sustainable business strategies and increasing market value