Central Statistics Agency Research Articles

Peran Badan Pusat Statistik dalam Mendukung Literasi Data Dikalangan Mahasiswa

In the current era of rapid information development, data literacy has become an essential skill, particularly for students. The Central Statistics Agency (BPS) plays a crucial role in enhancing data literacy among students by providing accurate and relevant statistical data and information. This study aims to explore BPS's contributions to supporting data literacy development in academic environments. Using a descriptive qualitative method, this research collects data through in-depth interviews, participatory observations, and document analysis to understand how students utilize statistical data in their studies. The findings indicate that BPS not only functions as a data provider but also acts as a catalyst for statistical education through various mentoring programs and collaborations with educational institutions. These programs include public lectures, workshops, and the establishment of "Statistical Corners," which offer direct access for students to receive guidance in understanding and utilizing data. Despite progress in statistical literacy, challenges remain, such as students' difficulties in critically evaluating information sources. This research also finds that direct interaction with statisticians can enhance students' confidence and analytical skills. With the increasing penetration of the internet and the use of social media, students need to be equipped with skills to access and effectively utilize information. Therefore, innovative approaches are required to improve understanding of information technology usage among students. The results of this study are expected to provide valuable insights for further developing strategies to enhance statistical literacy in academic settings, as well as reinforcing BPS's role as an active data provider in building human resource capacity in Indonesia.

Implementasi Program Double Track Sebagai Upaya Peningkatan Kompetensi Siswa SMA Negeri 1 Dander Kabupaten Bojonegoro

The issue of unemployment in Indonesia remains high, especially among graduates of Senior High Schools (SMA) and Vocational High Schools (SMK). Although the number of SMA/SMK graduates has been increasing every year, not all of them can continue their education to higher education institutions. (PT). Data from the Central Statistics Agency (BPS) 2023 shows that the Open Unemployment Rate (TPT) is dominated by middle school graduates, reaching 17.46%. This impacts the low Human Development Index (IPM), which is influenced by two main indicators: Life Expectancy at School (HLS) and Average Length of Schooling. (RLS). In Bojonegoro Regency, these two indicators show improvement, but there are still challenges in creating a quality workforce. To address this, the Double Track Program was introduced in East Java since 2018. Double Track is the term given to schools that offer two educational programs, namely formal education and entrepreneurship skills programs. This program aims to integrate academic education with vocational skills, providing practical skills to students who do not continue their education to higher education. This program is expected to enhance competencies and foster an entrepreneurial spirit among students.At SMAN 1 Dander Bojonegoro Regency, which has implemented this program, students receive training in five skill areas: culinary arts and fashion design. This program helps students prepare to enter the workforce and develop their own businesses after graduation.This research aims to analyze how the implementation of the Double Track Program at SMAN 1 Dander can enhance students' competencies, which ultimately contributes to reducing unemployment and improving the quality of human resources in the region.

Efektivitas Peningkatan Penerimaan Pajak Daerah di Wilayah Lahan Basah Berbasis Pola Pikir Religius

Taxes are the largest source of revenue for the Indonesian state. Taxes also have a large contribution to the development of all regions in Indonesia. Taxes in Indonesia consist of central taxes and regional taxes. South Kalimantan Province which consists of 13 districts/cities. South Kalimantan Province is one of the areas with wetland topography in Indonesia. One of the areas with the largest peatlands according to data from the Central Statistics Agency is Tapin Regency and the majority of the population is Muslim, so religious nuances are always visible. The potential for regional tax revenue in Tapin Regency, which is one of the areas with wetland topography and a religious population, makes this research interesting because based on the results of existing research, it still shows research gaps so that research related to the effectiveness of regional tax revenue in wetland areas is pattern-based. religious thought becomes important. This research includes quantitative research. The data used is primary data from respondents as informants with a sample size of 200 respondents. The data analysis technique uses partial least squares to analyze the influence of religiosity on taxpayer compliance and the effectiveness of local tax revenues. The research results show that religiosity has a significant effect on taxpayer compliance and the effectiveness of tax revenue. Taxpayer compliance also has a significant effect on the effectiveness of tax revenue in the Tapin district area.

Analisis Dampak Aktivitas Industri Minyak Dan Gas Terhadap Sektor Ekonomi Di Kabupaten Seram Bagian Timur

PT Kalrez Petroleum Seram Ltd is a company engaged in the oil and gas mining sector. The company started operations in 2001 and is part of South Sea Petroleum Holdings Ltd, based in Hong Kong. This study aims to analyze the base sectors that can support economic growth and examine the potential of the mining and quarrying sector in supporting economic development in the region. The data used in this study is secondary data obtained from various related agencies, one of which is the Central Statistics Agency (BPS). The data analyzed includes the Gross Regional Domestic Product (GDP) of Eastern Seram Regency and Maluku Province based on constant prices by business field in the 2011-2020 period. This study uses Location Quotient (LQ) and shift-share analysis methods to identify the base sector and analyze the dynamics of economic growth. The results of the analysis show that the base sectors in this area include the fisheries, forestry, and agriculture sectors with an LQ value of 1.06; mining and quarrying sector with an LQ value of 11.37; real estate services with an LQ value of 1.13; and health services and social activities with an LQ value of 1.07. However, the growth of the value of GDP in the mining sector during the 2011-2020 period experienced a significant decrease, namely -6,323.94 million rupiah. Other growth indicators, namely the Proportional Growth Contribution (KPP) of -0.22 and the Regional Growth Contribution (KPPW) of -0.14, also show that the mining and quarrying sector is relatively slow in growth, although it remains competitive at the regional level. The decline in the value of KPP and KPPW with a negative sign (-) in the mining and quarrying sector confirms that this sector is experiencing suboptimal growth. Although its competitiveness is relatively still there, this persistent decline indicates the need for more attention to improving efficiency and innovation within the sector. This is important so that the mining and quarrying sector can contribute more to improving the regional economy in a sustainable manner. To support the development of this sector, strategic policies, investment in technology, and synergy between the government and industry players are needed to overcome existing challenges

The impact of tobacco excise revenue sharing (DBH CHT) on public health with the number of cigarettes smoked as a moderating variabel in East Java Province

This study aims to analyze the effect of Tobacco Excise Revenue Sharing Fund (DBH CHT) on public health in East Java Province with the number of cigarettes smoked as a moderating variable. One of the priorities in the allocation of DBH CHT is in the health sector, which is expected to increase the Public Health Index (IKM) with the right allocation. This study uses a quantitative method with secondary data sourced from the Directorate General of Fiscal Balance and the Central Statistics Agency covering the period 2019-2022. The hypothesis in this study was tested using the Multiple Linear Regression model for panel data. The results showed that DBH CHT had a positive and significant effect on IKM in East Java, while the number of cigarettes smoked did not significantly moderate the relationship. This shows that the allocation of DBH CHT is effective in improving public health, although cigarette consumption is still high. This study concludes that improving health facilities and programs funded by DBH CHT play an important role in improving public health, but controlling cigarette consumption is still a challenge.

Indonesia's Demographics in the Digital Era: Opportunities and Challenges Towards a Golden Indonesia 2045

Indonesia's demographic potential in the digital era offers significant opportunities but also presents challenges as the nation strives toward the vision of Golden Indonesia 2045. This research aims to explore the impact of technological advancements, particularly artificial intelligence (AI), on Indonesia’s demographic landscape, including social inequality, urbanization, unemployment, and skilled labor migration. The research employs a descriptive-analytical method, leveraging secondary data from sources such as the Central Statistics Agency and the Indonesian Internet Service Providers Association. The findings reveal significant digital and socio-economic disparities between urban and rural areas, with lower internet penetration and ICT skills in rural regions exacerbating inequality. Automation and AI further contribute to job market polarization, threatening low-skilled jobs while creating high-skilled employment opportunities. Urbanization amplifies issues such as congestion, air pollution, and housing shortages, while the migration of skilled workers abroad hinders domestic development. The research highlights the necessity of inclusive policies to bridge digital divides, investments in digital infrastructure and education, and tailored smart city and smart village initiatives to support equitable development. These strategies are critical for leveraging technology to ensure sustainable and inclusive growth, aligning with Indonesia’s demographic goals in the digital era.

Analisis Pertumbuhan Mendekati Kapasitas Terhadap Status Gizi Anak dengan Model Logistik

The prevalence of malnutrition in children under five in Indonesia shows an estimate of future nutritional status based on current and past trends. A logistical population model is used in this study, which assumes that at some point in time, the population will reach equilibrium. The purpose of this study is to analyze the nutritional status of children under five aged 0-23 months in 2027 (t=9) using a logistics model. The data used came from the Central Statistics Agency (BPS) between 2016 and 2018, and is predicted for the period 2019 to 2027, assuming that the capacity limit (k) is 10,611.02. This study shows that type I and II logistics models can be used accurately to understand near-capacity growth related to children's nutritional status. The analysis shows that by 2027, it is estimated that there will be 359.35 children under five who will achieve optimal nutritional status.

THE INFLUENCE OF INVESTMENT ON ECONOMIC GROWTH IN INDONESIA: ECONOMIC AND LEGAL PERSPECTIVES

Investment plays an important role in encouraging Indonesia's economic growth. This study aims to analyze the influence of investment on economic growth in Indonesia. The research method used multiple regression analysis with secondary data from the Central Statistics Agency (BPS) and Bank of Indonesia for the 2010-2022 period. The results of the study show that investment has a significant influence on economic growth in Indonesia, with a contribution of 25% to GDP. Foreign direct investment and dose investment have a psychic influence on economic growth. Therefore, policies need to be implemented to increase investment and encourage national economic growth.

Analisis Faktor-Faktor yang Mempengaruhi Indeks Pembangunan Manusia Di Indonesia Tahun 2023

The Human Development Index (HDI) is a composite indicator that reflects the quality of life of a population through three primary dimensions: health, education, and a decent standard of living. Improvements in HDI are supported by advancements across all its constituent factors. The dimension of long and healthy life is represented by the increase in life expectancy (LE), while the education dimension is captured through the rise in the mean years of schooling (MYS) and expected years of schooling (EYS). Additionally, the standard of living dimension is indicated by improvements in adjusted per capita expenditure. This study aims to analyze the factors that determine HDI in Indonesia in 2023 using multiple linear regression analysis. The data used in this study are secondary data sourced from the Central Statistics Agency in the form of Human Development Index data and the factors that influence it. The findings reveal that variables such as Life Expectancy (LE), Expected Years of Schooling (EYS), Mean Years of Schooling (MYS), and Adjusted Real Per Capita Expenditure significantly affect the Human Development Index in 2023. This is evidenced by an R-Square value of 0.9957, indicating that the independent variables collectively explain 99.57% of the variance in the dependent variable.

Analisis Ekonomi Neo-Klasik terhadap Pertumbuhan Ekonomi Kabupaten Deli Serdang

Deli Serdang Regency located in North Sumatra Province has significant economic potential, supported by the agriculture, industry, trade, and service sectors. In recent years, Deli Serdang Regency has experienced fluctuations in its economic growth. This study analyzes the economic growth of Deli Serdang Regency using the Solow-Swan model. Secondary data from the Central Statistics Agency (BPS) in 2019-2020 accessed through the website https://www.bps.go.id/id analyzed to estimate model parameters. The results show that: (1) the level of savings and investment has a significant effect on economic growth, (2) technology and labor growth play an important role in increasing productivity, and (3) fiscal and monetary policies need to be optimized to increase economic growth. The Solow-Swan model effectively explains the dynamics of economic growth in Deli Serdang Regency.

The Effect of Price, Public Purchasing Power And Consumption Level on Rice Commodity Inflation in Pangkalpinang City

The purpose of this study is to analyze the effect of price, purchasing power and consumption level on rice commodity inflation in Pangkalpinang City. Rice is a staple food in Indonesia, including in Pangkalpinang, so weakening prices and purchasing power can significantly affect consumption and inflation levels. The method in this study uses a quantitative method with secondary data sourced from the Central Statistics Agency (BPS) and other related agencies in Pangkalpinang City. Data analysis in this study uses regression analysis which aims to determine the relationship between price variables, purchasing power, consumption and inflation. The results of the study indicate that there is a significant influence between rice prices and people's purchasing power on rice consumption levels and inflation in Pangkalpinang. The results of this study are expected to be a reference for local governments and related parties in formulating effective policies to maintain price stability and public welfare, as well as mitigating the negative impacts of inflation.

Pengaruh Ease Of Use Dan E Service Quality Terhadap Keputusan Pengguna Shopee Melalui Trust Pada Generasi Z Sidoarjo

The rapid development of digital technology has significantly changed many aspects of life, including the way Generation Z consumes and transacts. With the number of Generation Z members living in Sidoarjo Regency as many as 748,390 people, according to data from the Central Statistics Agency (BPS) in 2020, they are a fairly large demographic for e-commerce trends. This generation is known as an active user of digital technology, especially e-commerce platforms such as Shopee. Shopee as the platform with the most visitors in Indonesia in 2023 recorded 2.35 billion visits, making it an interesting subject to study. This study aims to examine how the quality of electronic services and ease of use influence Shopee user decisions, with trust as a mediating variable. Data were obtained from literature observations and analysis of current e-commerce trends. Previous research findings show mixed results regarding the relationship between these factors, creating opportunities for further exploration. Through a quantitative approach, this study is expected to provide in-depth insight into the consumption behavior of Generation Z in the digital era. The results are not only useful for e-commerce platforms in developing marketing strategies, but can also be an important reference in developing literature related to e-commerce and consumer behavior.

APPLICATION OF THE GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) METHOD IN FORECASTING THE CONSUMER PRICE INDEX IN FIVE CITIES OF SOUTH SULAWESI PROVINCE

Changes in the Consumer Price Index (CPI) over time reflect the rate of increase (inflation) or decrease (deflation) of goods and services for daily household needs. The CPI and inflation serve as barometers for economic growth stability, as controlled inflation can increase people's purchasing power over time. According to the Central Statistics Agency (2023), in December, the year-on-year (y-o-y) inflation for five cities in South Sulawesi (Bulukumba, Watampone, Makassar, Parepare, and Palopo) was 2.81 percent, with a CPI of 117.35. Of the five cities, the highest y-o-y inflation occurred in Makassar at 2.89 percent, with a CPI of 117.49, while the lowest y-o-y inflation occurred in Palopo at 2.21 percent, with a CPI of 115.60. CPI forecasting is one way to predict future inflation values. This study aims to develop the best GSTAR model for forecasting CPI data for five cities in South Sulawesi, a topic that has not been extensively covered in previous research. The goal is to provide valuable information for maintaining CPI stability in South Sulawesi and to support the formulation of better economic policies. The study focuses on five cities within South Sulawesi, where direct relationships between cities are possible, allowing the spatial model to be limited to the first-order. The data used in this study consists of monthly CPI data from January 2014 to March 2023. The location weights used in the model include uniform weights, inverse distances, and normalized cross-correlations. The model development steps include testing for data stationarity, determining the space-time sequence, calculating location weights, estimating parameters, testing model adequacy, comparing Root Mean Square Error (RMSE), and selecting the best model for forecasting. The best GSTAR model found is GSTAR (1;1)-I(2) with inverse distance weighting, which yielded the smallest RMSE value. The results show that the forecasted values closely match the actual values for each city from March to September 2023.

VOLATILITY ANALYSIS AND INFLATION PREDICTION IN PANGKALPINANG USING ARCH GARCH MODEL

One of the concerns of both developed and developing countries, as well as in a region, is the amount of inflation that occurs. Inflation is a serious problem. Inflation is a macroeconomic variable that affects people's welfare and is defined as a complex phenomenon resulting from general and continuous price increases. This research aims to analyze the volatility and projected value of the inflation rate, especially in Pangkalpinang City, using the Autoregressive Conditional Heteroskedasticity (ARCH) and Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models. This research uses time series data on inflation rate of Pangkalpinang, Bangka Belitung Island Province from January 2014 to May 2024. This data was obtained through publications from the Central Statistics Agency of Bangka Beliltung Islands Province. The ARCH model is used to handle heteroscedasticity in data, while the GARCH model is a development of the ARCH model and serves as a generalization of the volatility model. This research shows that the predicted inflation rate in Pangkalpinang City from June 2024 to November 2024 tends to decrease with a MAPE prediction accuracy level of 200.04%. The high MAPE value is caused by actual data moving toward 0.

DYNAMICS OF RAINFALL AND TEMPERATURE IN NORTH SUMATRA PROVINCE: COMPREHENSIVE ANALYSIS OF TEMPORAL TRENDS

This research aims to analyze the temporal trends of rainfall and temperature in North Sumatra Province, focusing on the Medan and Deli Serdang regions. The data used in this study was obtained from the Central Statistics Agency of North Sumatra (BPS Sumut) and spans the period from January 2000 to December 2022. The Mann-Kendall test was applied to identify trends, Sen's Slope Estimator measured the trend slope, and Pearson correlation analysis assessed the relationship between rainfall and temperature. Key findings indicate that Medan has a higher monthly rainfall average than Deli Serdang, with both regions showing a significant increasing trend in rainfall, although the rise is gradual. Additionally, a positive trend in temperature was identified, reflecting broader climate change patterns. However, the correlation between rainfall and temperature was weak, indicating minimal direct interaction between these variables in the study areas. These results contribute valuable insights into climate dynamics and are critical for the development of climate change adaptation strategies in North Sumatra Province.

Information System for Managing Incoming and Outgoing Mail at the Central Statistics Agency of West Sumba Regency

BPS West Sumba Regency still manages mail manually, facing issues of efficiency, transparency and accuracy. Manual processes risk document loss and recording errors. This research aims to identify problems and recommend an integrated information system. This innovation is expected to increase productivity, reduce errors, and speed up decision-making at BPS. Rapid Application Development (RAD) is a software development model that focuses on accelerating processing time. This approach combines object-oriented development methods and structured techniques to accelerate the process of creating a system or application. The research showed that the implementation of the new information system at BPS West Sumba Regency improved operational efficiency. Mail processing time dropped from 3 hours to 1 hour, and the error rate was reduced from 15% to 2%. User satisfaction increased from 60% to 90%, which had a positive impact on employee motivation. User satisfaction increased from 60% to 90%, which had a positive impact on employee motivation and collaboration. The system also strengthened and improved transparency.

Study Of The Influence Of Public Expenditure And Macroeconomic Variables On The Happiness Index In Sumatera

This study aims to analyze the effect of public spending and macroeconomic variables (local government size, per capita GRDP, Gini coefficient, unemployment, inflation and tax revenue) on the happiness index in Sumatra. The types of data used in this study are cross-section data and time series data. Cross-section data covers 10 provinces in Sumatra, namely Aceh, North Sumatra, West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, Bangka Belitung Islands and Riau Islands. While the time series data consists of data from 2014, 2017 and 2021. The data sources are secondary data from the Central Statistics Agency and the Directorate General of Fiscal Balance, Ministry of Finance. The data were analyzed using the panel data regression method with the Common Effect Model approach. The results of the study show that Per Capita Income and Inflation have a significant effect on the happiness index in Sumatra. Meanwhile, public spending, local government size, Gini coefficient, unemployment rate, and local tax revenue do not show a significant effect on happiness. These findings suggest that while economic factors and the size of local government play an important role in improving well-being, the direct impact on people's happiness is influenced by a complex of other factors, including people's perceptions, social inequality, and the efficiency of resource management.

Street Vendor Empowerment in Bantul District: Analysis of the Role of the Indonesian Street Vendor Association of Struggle (APKLI-P) Based on the Perspective of Sharia Economics

Based on the latest data from the Central Statistics Agency (BPS) in 2023, around 60.12% of the Indonesian workforce works in the informal sector, indicating the dominance of this sector in the national economy. However, in urban areas, informal sector economic activities, especially street vendors (PKL), often face various challenges that require structured solutions. One of the main problems street vendors face in Bantul Regency is limited business capital, which causes them to be trapped in loan shark loans that are not per Sharia principles. This study aims to analyze the role of the Indonesian Street Vendors Association of Struggle (APKLI-P) in empowering street vendors in Bantul Regency from a sharia economic perspective. This study uses a qualitative approach with a case study method at the DPD APKLI-P Bantul Regency. Data were collected through observation, in-depth interviews with 20 street vendor members, and documentation of empowerment programs carried out by APKLI-P. The data obtained were analyzed using source triangulation to ensure the validity of the research results. The findings show that APKLI-P has implemented various empowerment programs, such as developing culinary areas, providing business opportunities through local events, managing multi-purpose cooperatives, and providing halal certification. The impact of this program is measured through increased income, access to new business opportunities, and significant improvements in the welfare of street vendors. This study also highlights how the application of Islamic economic principles by APKLI-P has succeeded in strengthening social solidarity and creating equality and justice in society. However, this study has limitations in terms of generalizing the findings to other regions, and further research is recommended to test the effectiveness of this empowerment model in different regional contexts.

The Effect of Local Taxes, Capital Expenditure, Investment, and Labour Force on Local Revenue with Economic Growth as an Intervening Variable

This research aims to analyse the effect of local taxes, capital expenditure, investment, and labour force on local revenue with economic growth as an intervening variable in the regency / city in the Eks Karesidenan Pekalongan region year 2018-2023. The approach used is quantitative, using the Structural Equation Modeling (SEM) analysis method based Partial Least Square (PLS). The data analysed is secondary data obtained from the Central Statistics Agency (BPS) and related agencies. The research sample consists of all districts/cities in the Eks Karesidenan Pekalongan Central Java area with a six-year observation period. The results show that local taxes, capital expenditure, and labor force have a significant influence on economic growth, but only local taxes have a significant effect on local revenue. In contrast, investment do not show a significantly effect on economic growth or local revenue. Economic growth also has no significant effect on own-source revenues. Furthermore, the intervening variable of economic growth cannot mediate the relationship between local taxes, capital expenditure, investment, and labour force on local revenue. These findings indicate the need to optimise local tax and capital expenditure management strategies to increase local revenue. In addition, local governments need to pay attention to other factors beyond investment and labour force that can contribute to local revenue and economic growth in a sustainable manner

PENGARUH PENDAPATAN ASLI DAERAH TERHADAP BELANJA MODAL PADA KOTA/KABUPATEN DI PROVINSI JAWA BARAT

Regional autonomy aims to improve equitable development, people's welfare, and public services. The government as a public service provider has the task of managing funds obtained from the community to improve public service facilities through capital expenditure allocation. This study aims to determine the influence of Local Own-source Revenue on Capital Expenditure on Cities and Regencies in West Java Province for the 2021-2022 period. The method of this research is descriptive and verification with a quantitative approach. The data source used in this study is secondary data obtained from the official website of the Central Statistics Agency of West Java Province. The population in this study is 9 cities and 18 regencies in West Java Province. The data analysis techniques used in this study are simple linear regression analysis. The study results show that Local Own-source Revenue has an effect on Capital Expenditure.