Central Bureau Of Statistics Research Articles

The Influence of Price Perception and Service Quality on Customer Satisfaction of Maxim Application

This study aims to analyze the influence of price perception and service quality on Customer satisfaction with the Maxim online transportation application in Depok City. With the rapid growth of online transportation in the Jabodetabek area, particularly in Depok, Maxim has become one of the preferred service providers due to its competitive pricing and numerous promotions. Based on previous research, factors such as service quality, price, and employee service have been shown to positively affect customer satisfaction. In the increasingly competitive online transportation industry, Customer satisfaction is a crucial factor for success. This study focuses on Maxim Customers in Depok, who are identified by their yellow helmets and jackets. According to data from the Central Bureau of Statistics of Depok City in 2020, the city has a population of over 2 million, but there is still limited research on Customer perceptions of Maxim's services in this area. This research uses a quantitative method with a purposive sampling approach, targeting male and female respondents aged 17 to 30 who have used Maxim’s services at least three times, with a sample of 100 respondents, and using the SmartPLS version 4 program. The results indicate that price perception has a positive and significant effect on Customer satisfaction, with a P-value of 0.001 < 0.05 and a path coefficient of 0.324 or 32.4%. Additionally, service quality is also proven to significantly influence Customer satisfaction, with a P-value of 0.000 < 0.05 and a path coefficient of 0.590 or 59%. These findings indicate that both variables—price perception and service quality—play important roles in determining the satisfaction level of Maxim Customers in Depok City. Therefore, online transportation companies are expected to continuously improve service quality and maintain competitive pricing to ensure customer satisfaction amid fierce competition.

Analisis pengaruh nilai ekspor dan investasi bagi pertumbuhan ekonomi Indonesia dalam perspektif syariah

This research examines the impact of export value and investment on Indonesia's economic growth from 2013 to 2022 from an Islamic perspective. Using secondary data from the Central Bureau of Statistics and the World Bank, the Error Correction Model method is applied to analyze the long-term and short-term relationships between variables. Stationarity Test, R-Square Test, F Test, and T Test are used to ensure the model's validity. The research results show that export value and investment significantly affect long-term economic growth. In the short term, exports are significant at the 5 percent significance level, and investment is significant at the 10 percent significance level for economic growth. From the Islamic perspective, the economic growth resulting from increased exports and investment positively impacts the economic and social dynamics of society, ensuring a fair distribution of welfare. By applying Sharia principles, the benefits of economic growth can be felt evenly, avoiding unethical practices. Exports and investment are crucial factors in driving Indonesia's economic growth, while Sharia principles provide a strong foundation for economic justice and sustainability.

The Effect of HDI, Population Density, Poverty, and Income Inequality on Criminality in DKI Jakarta Province

The purpose of this study is to examine how the human development index, population density, poverty rate, and income inequality affect the crime rate in DKI Jakarta Province from 2014 to 2022. The data used in this study came from the Central Bureau of Statistics (BPS). The method used is panel data regression with the Common Effect Model (CEM) which is the best model. The results showed that the level of human development, population, and poverty had a positive and significant impact on the crime rate in DKI Jakarta Province from 2014 to 2022. Meanwhile, income inequality has a positive but insignificant effect on the crime rate. Together, the human development index (HDI), population density, poverty rate, and income inequality affect the crime rate in DKI Jakarta Province from 2014 to 2022.

The Impact of Socio-Economic and Climate Change on Poverty in Indonesia

Climate change can impact farmers’ incomes as agricultural production still depends on the weather. Currently, the majority of the impoverished rely primarily on agriculture for their income. The connection between poverty and climate change has been extensively studied, but further research is needed in this area. This research was conducted to provide empirical evidence regarding the impact of climate change on poverty using time series data, which has never been done. This research wants to examine the impact of socio-economics (economic growth, agricultural sector growth, inequality, inflation) and climate change on poverty. This research uses time series data from 2007 to 2022. The Central Bureau of Statistics and Climate Change Performance Index (CCPI) reports are the sources of research data. The study results suggest that the government’s performance index in combating inflation, agricultural sector growth, and climate change has a positive impact on poverty. Poverty is negatively affected by the Gini index and economic growth. Government efforts to adaptively address climate change are necessary to prevent worsening impacts on poverty rates. To reduce the risk of crop failure, farmers must also practice practical agricultural management.

The Influence of Leader-Member Exchange and Affective Commitment on Organizational Citizenship Behavior

This study uniquely focuses on the impact of Leader-Member Exchange (LMX) and affective commitment on Organizational Citizenship Behavior (OCB) at the Yamaha Flagship Shop, a prominent company in the automotive sector, located in the vibrant city of Bandung. OCB, which refers to the voluntary actions of employees that contribute to the business's effectiveness, is a key area of investigation. The research methodology is a quantitative technique combining descriptive and verification methods. The study collected samples from 35 respondents who were employees of the Yamaha Flagship Shop in the Bandung City branch. The data and information utilized in this study consist of primary data acquired directly from companies, as well as secondary data sourced from books, journals, and the Central Bureau of Statistics (BPS). The findings of this study are significant as they indicate a robust correlation of 0.832 between the Leader-Member Exchange variable and the Affective Commitment variable at the Bandung City branch of the Yamaha Flagship Shop. This correlation is statistically significant with a p-value of 0.000. The Leader-Member Exchange variable has a positive and statistically significant effect of 0.410 on Organizational Citizenship Behavior. The Affective Commitment variable shows a positive and statistically significant effect of 0.569 on Organizational Citizenship Behavior. The direct impact of Leader-Member Exchange and Affective Commitment on Organizational Citizenship Behavior is 16.8% and 32.4%, respectively. Each of the indirect effects accounted for 19.4% of the total, resulting in a cumulative total of 88%. These findings underscore the substantial impact of Leader-Member Exchange and Affective Commitment on the Organizational Citizenship Behavior of the Yamaha Flagship Shop in the Bandung City Branch, providing valuable insights into organizational behavior.

Characteristics of Extreme Poverty in the Province of Bangka Belitung Islands

This study aims to analyze the characteristics of poverty in seven districts and cities in the Bangka Belitung Islands Province. This study uses primary and secondary data from the Central Bureau of Statistics (BPS) and other relevant sources. The analysis was conducted descriptively to identify factors that influence poverty, such as the age of the poor, marriage, education level, number of dependents, type of employment, income, living conditions, government assistance and health. The results show that poverty in Bangka Belitung is more dominant in rural areas than urban areas. Low education levels and limited access to health services are the main causes of poverty in this area. In addition, the community's dependence on the fluctuating mining sector also affects the economic stability of households. This study also found significant income inequality between low- and highincome groups. Based on these findings, efforts to improve access to education and health, as well as economic sector diversification to reduce unemployment are recommended. More inclusive policies are needed to sustainably address poverty in the region.

Backpropagation untuk Memprediksi Tingkat Inflasi di Kota Malang

Backpropagation is a model of Artificial Neural Networks (ANN) that uses supervised learning to solve complex problems, such as predicting the inflation rate by being trained using forward learning methods and backward error correction. The inflation rate is the percentage change in prices of goods and services in the economy during a certain period. Throughout December 2022, the Central Bureau of Statistics recorded the inflation rate in Malang City at 0.58%. One of the causes is the increase in prices of rice and other commodities such as eggs, chicken, and cayenne pepper. From this, predictions need to be made to help prepare programs that must be carried out to overcome inflation. This research aims to determine the level of accuracy of the backpropagation algorithm by testing several parameters and finding out the results of inflation predictions in Malang City in 2019. The findings of this research are the best inflation prediction results were obtained with the 7-14-1 architectural model with the tanh activation function parameters, batch size 16, and number of epochs 1000, with accuracy results of 87.49%. From the results of these predictions, the highest inflation in Malang City is predicted to occur in January 2019 and the lowest inflation is predicted to occur in February 2019.

Binary Logistic Regression Modeling on Household Poverty Status in Bengkulu Province

Binary logistic regression is a statistical method used to analyze the relationship between one or more predictor variables and a binary or dichotomous response variable. Poverty is an issue in every province in Indonesia. One of the provinces with a relatively high poverty rate is Bengkulu Province, ranking seventh in Indonesia with a poverty rate of 14.62%. The Central Bureau of Statistics of Bengkulu Province (2023) explains that efforts to reduce poverty must involve all levels of society. Various government programs and policies in various fields such as health, social, and other areas are continuously being implemented to reduce the number of households classified as poor. Identifying the characteristics of households in Bengkulu Province by poverty status is important to study, as it serves as a reference to ensure that government programs are implemented according to the target. One method that can be used to identify household characteristics is binary logistic regression. This study aims to model the poverty status of households in Bengkulu Province using binary logistic regression and to identify the factors that influence it. The data used are social and economic household data from March 2022. The response variable used is household poverty status (poor and not poor), while the predictor variables include the ownership of toilet facilities, the source of lighting, floor area, family size, and per capita calorie consumption. Modeling is done using binary logistic regression with simultaneous and partial parameter significance tests, as well as model fit tests. The analysis results show that the factors significantly influencing household poverty status in Bengkulu Province are the ownership of toilet facilities, the source of household lighting, floor area, family size, and per capita calorie consumption. The formed binary logistic regression model has a classification accuracy of 89.98% with a sensitivity of 18.34% and a specificity of 98.61%.

The Impact of Palm Oil Plantations on Per Capita Income in Kalimantan and Its Effect on Unemployment

Currently, Indonesia's oil palm plantation sector is in a critical phase. While the sector has contributed significantly to national income and created jobs, it is increasingly urged to address a number of social and environmental issues. This study aims to explain the complex relationship between oil palm plantation expansion, per capita income, and unemployment dynamics in the region. Using quantitative methodology and multiple linear regression analysis, this study examines secondary data sourced from the Central Bureau of Statistics (BPS) and the Ministry of Agriculture covering the period 2001-2022. The findings show that the expansion of oil palm plantations significantly increases per capita income through direct and indirect job creation. However, its impact on unemployment is not uniform and depends on the prevailing economic structure and adaptability of the local labor market. While some regions experienced a decline in unemployment due to increased job availability, other regions experienced an increase in structural unemployment caused by the adoption of modern technology that reduced the need for manual labor. These findings underscore the need for regional policies tailored to the local economic context, labor market, and local employment conditions

Analisis Pengaruh Indeks Pembangunan Manusia (IPM) dan Pertumbuhan Ekonomi Terhadap Kemiskinan di Kabupaten Pidie

This research aims to find out whether HDI and economic growth have an effect on poverty in Pidie Regency, Aceh Province in the 2010-2023 period. The approach in this research is quantitative using multiple linear regression analysis methods. The Aceh Central Bureau of Statistics (BPS) data source uses Time Series data. . The results of this research show that HDI partially has a negative and significant effect on poverty in Pidie Regency, and Economic Growth has a positive and insignificant effect on partial poverty in Pidie Regency. And simultaneously HDI and Economic Growth have a positive and significant effect on poverty in Pidie Regency.

Analysis of the Impact of Fiscal Decentralization on Per Capita GDRP Across Provinces in Indonesia

This study aims to investigate and analyze the impact of fiscal decentralization on per capita GRDP across provinces in Indonesia. Additionally, the research examines the influence of Regional Own-Source Revenue (PAD) on per capita GRDP across provinces in Indonesia, the effect of the General Allocation Fund (DAU) on per capita GRDP, the effect of Revenue Sharing Fund (DBH) on per capita GRDP, and the overall impact of the Specific Allocation Fund (DAK) on per capita GRDP, and the overall impact of fiscal decentralization on per capita GRDP. The study also seeks to analyze to combined effects of PAD, DAU, DBH and DAK on per capita GRDP across provinces in Indonesia. The data analysis technique employed in this research is panel data analysis. The data used are secondary data, which have been collected by data collection institutions and made available to the public. The data for this study were sourced from the Central Bureau of Statistics, the Directorate General of Fiscal Balance, Ministry of Finance of the Republic of Indonesia (DJPK Kemenkeu), as well as books, journals, and website relevant to this research. The variables include per capita GRDP, Regional Own-Source Revenue (PAD), the General Allocation Fund (DAU), the Revenue Sharing Fund (DBH), and the Spesific Allocation Fund (DAK). The result of the study indicate that during the administration of Susilo Bambang Yudhoyono (SBY), the variable PAD had no effect on per capita GRDP, the variable DBH had no effect on per capita GRDP, and the variable DAK also had no effect on per capita GRDP. Meanwhile, during the administration of Joko Widodo (Jokowi), DBH had no effect, and DAK similarly had no effect on per capita GRDP. Furthemore, the R-square value during SBY’s administration was 11,12%, which is higher compared to the 8,7% during Jokowi’s administration. This indicates that the role of PAD, DAU, DBH and DAK in influencing per capita GRDP was more pronounced during SBY’s administration. Keywords: GRDP, PAD DAU, DBH, DAK

Pengaruh Infrastruktur Listrik dan Infrastruktur Sosial terhadap Pertumbuhan Ekonomi di Provinsi Aceh

This study was conducted to analyze the effect of Electricity infrastructure and social infrastructure on economic growth in Aceh Province. The purpose of this study is to determine and explain the effect of how the influence of Electricity, Health and Education infrastructure on economic growth in Aceh Province. Data analysis in this study is using Multiple Linear Regression. This type of research data is quantitative research and secondary data. Data sources are obtained from the Central Bureau of Statistics (BPS). The results of this study indicate that Electricity infrastructure which has a probability value of 0.2855> 0.05 has no effect on economic growth. health infrastructure which has a probability value of 0.5845> 0.05 has no effect on economic growth. education infrastructure which has a probability value of 0.3478> 0.05 has no effect on economic growth. So it can be concluded that the variables of Electricity, Health and Education are not significant to economic growth in Aceh Province.

Determinants of District/City Income Disparity in Bali Province

In regional scale of Bali Province infected symptom disparity marked income​ with Still concentrated development of the South Bali region compared to other parts of Bali. The goal study This For identify disparity income districts / cities in Bali Province 2018-2023 and analyze influence growth economy, power work, level education, allocation funds, and capital expenditures on disparity income district / city Bali Province is good in a way simultaneous and also partial. Research This use method quantitative and using secondary data obtained​ from the Central Bureau of Statistics. Data analysis techniques using Williamson index and Klassen typology as analysis disparity and continued with multiple linear regression For analyze influence growth economy, power work, level education, allocation funds, and capital expenditures on disparity income. Research results show growth economy, power work, level education, allocation funds, and capital expenditures simultaneous influential and significant to disparity income. Furthermore, growth economy, level education, allocation funds, and capital expenditures partial influential negative and significant to disparity income. Meanwhile, energy Work in a way partial influential positive and significant to disparity income. Research suggestions among other things to do equalization development for poor and depressed areas decrease, increase transportation common connecting​ all areas, development infrastructure and creation field work, availability help education and also scholarship to college tall and also postgraduate, government center still provide allocation funds especially to poor and depressed areas , and maximize potential area so that investors can invest.

Local Potential Management for Poverty Alleviation in Maluku

Poverty, as a social problem, has a significant impact on human life. Therefore, various theories have been produced for poverty alleviation, followed by various policies. It is carried out by the governments of sovereign countries, organizations, families, and personal efforts. Nevertheless, poverty still exists and even shows fluctuating numbers, as if poverty cannot be eradicated from the lives of humanity. The Central Bureau of Statistics shows that Indonesia’s population in March 2023 reached 280.73 million people with a poverty rate of 9.36% or 29.9 million people, above the average poor population of the world community. In Maluku, the poverty rate was 16.42% in September 2023, which represents 301.61 thousand people. It is an increase from the previous year, which places the poverty of the Maluku people above the average of the world’s poor and the average of the poor in Indonesia. Through research with a unique sociological approach to system theory by Talcott Parsons with his AGIL, it was found that in rural communities, especially in sago-producing countries, poverty can be alleviated not in a moment but sustainably with the quality of life of the community and the quality of the environment that constantly increases. Through qualitative research conducted, it was found that managing and cultivating sago regularly will have an impact on increasing community income, the emergence of new water sources resulting in the emergence of many aquatic animals, the opening of various business lands, the natural environment becomes cool and fertile, and various other benefits. In this way, poverty can be erased in sago-producing communities, with the quality of community life and the environment continuing to improve. Keywords: local potential, poverty alleviation, Maluku

The Effect of Food Price Stabilization on Inflation in West Nusa Tenggara 2019-2023

One of the primary contributors to the inflation rate in West Nusa Tenggara Province is the fluctuation of prices for food commodities. The objective of this study is to examine the extent to which fluctuations in food commodity prices, including those of rice, red chili, and shallots, contribute to inflationary trends in West Nusa Tenggara. The data used is monthly data on inflation and food commodity prices from 2019-2023 obtained from BPS (Central Bureau of Statistics), DKP (Food Security Agency), and the Agriculture Office of West Nusa Tenggara Province. The analysis method used is vector autoregression (VAR), which includes stationarity test, VAR stability test, optimal lag test, cointegration test, VAR estimation, impulse response function (IRF), and variance decomposition. The results of this study indicate that in the short term premium rice prices, curly red chili prices, and shallots do not affect inflation. Conversely, in the long run, the variable price of shallots does not affect inflation, while the variable price of premium rice and curly red chili prices exert an influence on inflationary pressures in West Nusa Tenggara Province. The Variance Decomposition Test indicates that the price of curly red chili contributes 37.24 percent to inflation in the fifth period, while premium rice has an effect of 8.66 percent on inflation in the second period and shallots have an effect of 7.93 percent on inflation in the fifth period.

Analisis Faktor-Faktor yang Memengaruhi Pendapatan Petani Mangga (Mangifera indica L.) di Desa Sumberjaya Kecamatan Tempuran Kabupaten Karawang

Mango is one type of fruit that has high economic value and is popular in many countries, including Indonesia. According to data from BPS Karawang Regency, Tempuran District is one of the largest mango producers in Karawang Regency. The decline in mango fruit production in Tempuran Subdistrict is one of the problems in mango fruit cultivation which causes a lack of net income received by mango farmers. The purpose of this study is to determine the effect of land area, total production, selling price, labor, production costs, plant age and number of plants simultaneously and partially on the income of mango farmers. This research was conducted in Sumberjaya Village, Tempuran District, Karawang Regency. The research method used in this research is descriptive quantitative. The research data used are primary data and secondary data. Primary data used was obtained from interviews using a questionnaire. Secondary data used was obtained from books, journals, previous research reports and data from the Central Bureau of Statistics of Karawang Regency and related agencies. The sample was determined using the proportionate stratified random sampling method. The data analysis technique used was multiple linear regression analysis using SPSS 22. The results showed that the variables of land, amount of production, selling price, labor, production costs, plant age and number of plants had a significant influence simultaneously on the income of mango farmers. The variables of land, amount of production, and selling price partially have a significant positive effect. The variables of labor and production costs partially have a significant negative effect. The variables of plant age and number of plants partially do not have a significant influence on the income of mango farmers.

Interaction of environmental quality with agricultural productivity and other determinants in Java-Bali, Indonesia

Abstract This study aims to analyze the direct and spillover effects of agricultural productivity and other determinant variables on environmental quality in Java-Bali Island from 2015 to 2022. The data is in the form of a panel, sourced from the Central Bureau of Statistics and the Indonesian Ministry of Environment. The method used to answer the study objectives is through a spatial autoregressive model (SAR) with a weighting matrix of three nearest neighbors. The results show that the agriculture, forestry and fisheries sectors and the industrial sector are the biggest contributors to environmental damage in Java-Bali. Meanwhile, increasing real GRDP per capita and the burden of dependent workers can actually improve environmental quality. Meanwhile, democracy has not been able to play an important role in environmental issues. The implication is that a strong commitment is needed to change production habits, especially the agricultural and industrial sectors that are more environmentally friendly with innovation and utilization of technology. The concentration of democratic activities in responding to environmental issues also needs to be strengthened.

The effect of agricultural policy on sustainability and environmental protection: omnibus law case study

Abstract This study assesses the effects of increased domestic investment in the Agriculture, Hunting, Forestry, and Fisheries sectors on environmental sustainability in Indonesia, particularly after the Omnibus Law was enacted in 2020. Using a descriptive quantitative approach and time series data from the Central Bureau of Statistics, relevant Ministries, legal documents, and previous research, the study examines the relationship between domestic investment and various environmental indicators. These indicators include the area of forest and aquatic conservation, total plantation land, greenhouse gas emission intensity, and energy intensity in agriculture. The analysis reveals that despite a significant rise in investment, there has been no notable impact on environmental sustainability. Forest and aquatic conservation areas have remained stable, and while plantation land has increased, it is unevenly distributed. Additionally, greenhouse gas emissions and energy intensity have shown stability with minor reductions, indicating that sustainable practices have not been effectively implemented. The findings underscore the need for more robust policies to ensure that increased investment also fosters environmental protection and long-term sustainability.

Impact of the Agricultural Sector on Unemployment, Inequality and Rural Poverty: A Panel Regression Analysis in Indonesian Provinces

This study examined how the agricultural sector impacted unemployment, income inequality, and rural poverty across Indonesia’s provinces from 2015 to 2021. Using data from the Central Bureau of Statistics (BPS) and a panel regression model, the research analyzed the relationships between these factors. It also explored the structural changes caused by the COVID-19 pandemic in 2020-2021. The findings showed that the agricultural sector’s Gross Regional Domestic Product (GRDP), farmer exchange rates, and informal labor significantly influenced unemployment and income inequality in rural areas. However, the pandemic did not have a major effect on income inequality or poverty levels in these areas. The GRDP and value-added in agriculture played a crucial role in reducing rural poverty. The findings also showed that the COVID-19 pandemic did not directly increase or decrease the number of poor people, but it affected informal agricultural workers due to physical distancing measures. The research highlighted the agricultural sector’s importance in addressing unemployment and inequality during the pandemic in Indonesia.

Pengaruh Tenaga Kerja dan Investasi terhadap Pertumbuhan Ekonomi di Provinsi Jambi

The aims of the study were to determine: (1) the effect of labor on economic growth in Jambi Province; (2) the effect of investment on economic growth in Jambi Province, and (3)tThe effect of labor and investment on economic growth in Jambi Province. The type of data used in this study is published secondary data, namely in the form of time series for 14 years in Jambi Province from 2010-2023. The source of the data obtained is from the Central Bureau of Statistics (BPS) Jambi Province. This study uses multiple linier regression analysis. Data analysis prerequisite test used normality test, multicollinearity test, autocorrelation test and heteroscedasticity test. The hypothesis test used is the coefficient of determination R square, the F test and the t test. The results of this study indicate that partially: (1) labor has a significant positive effect on economic growth in Jambi Province; (2) investment has a significant positive effect on economic growth in Jambi Province; and (3) simultaneously labor and investment have a significant effect on economic growth in Jambi Province.