Central Bureau Of Statistics Research Articles

Analisis Pengaruh Nilai Tukar Rupiah Terhadap Pembandingan Penggunaan Kina Di Kampung Mosso Muara Tami Papua

This research aims to determine the influence of the rupiah exchange rate on the use of Kina in Mosso Village, Muara Tami, Papua. Quantitative methods were used in this research to analyze secondary data collected from the websites of Bank Indonesia and the Indonesian Central Bureau of Statistics. The number of quarters, which collects all information during the study period, was used for sampling. This research uses two independent variables: inflation, Bank Indonesia interest rates (SBI) and money supply (JUB). The dependent variable is the exchange rate. Multiple linear regression analysis, T test, and F test were used to analyze the data. The results of the T hypothesis test show that inflation has a significant influence on the exchange rate partially during the period studied, with a significance value of 0.001. The interest rate does not have a significant influence on the exchange rate partially during the period studied, with a significance value of 0.462. The money supply also does not have a significant influence on the exchange rate partially, with a significance value of 0.17. The results of the F hypothesis test with a significance value of 0.000 show that inflation, interest rates and money supply simultaneously have a significant influence on the exchange rate in the 2018–2022 period.

ANALYSIS OF MINING, AGRICULTURE AND SERVICES SECTORS AS LEADING ECONOMIC SECTORS IN BANYUWANGI DISTRICT

This research aims to analyze various leading sectors in Banyuwangi district to be developed in order to increase regional economic growth. This research uses a qualitative approach with more emphasis on the qualitative form of literature, namely the main source from the Banyuwangi Regency Central Bureau of Statistics. The data analysis tools used are LQ, DLQ and Shift Share and the research results obtained show that in Banyuwangi Regency the most superior sector is the Education sector, namely obtaining average data of 2.02, the Electricity Procurement Sector and the Education Services Sector in Banyuwangi Regency have a very large role, this can be seen in the contribution of Electricity Procurement and the Education Services Sector to the GRDP of Banyuwangi Regency. The magnitude of the sector's contribution can be seen in the average contribution figures from 2018 to 2022 with values ​​of 2.00 and 2.02. while the Mining and Quarrying Sector, electricity and gas procurement, transportation and warehousing, accommodation provision, information and communication, financial and insurance services, real estate, government administration are sectors that are included in the Potential category.

Analysis of the Effect of Poverty and Economic Growth on the Human Development Index (HDI) in Kalimantan Island

The Human Development Index (HDI) is a tool to assess the effectiveness of a development aimed at improving living standards and can be used as a measure of the status or level of progress of a particular region or country. According to data from the Central Bureau of Statistics (BPS), the poverty rate in Kalimantan Island has decreased between 2013 and 2023, although its economic growth tends to be unstable. However, the HDI in Kalimantan Island continues to experience a significant increase. This research applies quantitative methods with panel data regression analysis. This study was conducted to determine the effect of poverty and economic growth on HDI in Kalimantan Island. The findings of this study show that in Kalimantan Island, HDI is significantly affected by poverty, but not by economic growth. However, when analyzed together, poverty and economic growth have a significant influence on HDI in Kalimantan Island. Following up on the findings of this study, it is important to optimize the Human Development Index to increase the effectiveness of maximum development in Kalimantan Island.

Pengaruh Angkatan Kerja Inflasi, Pengangguran, dan Kemiskinan Terhadap Pertumbuhan Ekonomi Di Indonesia Periode (2014-2023)

This research aims to analyze the influence of the labor force, inflation, unemployment and poverty on economic growth in Indonesia for the period (2014-2022). The variables used are Inflation as the dependent variable, Money Supply (JUB) and Interest Rates as the independent variables. The data used in this research is secondary data obtained from publications by the Indonesian Central Bureau of Statistics. The analytical method used is a multiple linear regression model or Ordinary Least Square (OLS). In processing the data, the author used the help of Eviews 10 software. Based on the estimation results, it was found that there is a relationship between Labor Force, Inflation, Unemployment and Poverty on economic growth in Indonesia and the variables Labor Force, Inflation, Unemployment and Poverty have a positive and significant effect on Economic Growth in Indonesia .

Unraveling the Role of Actors in Sustainable Tourism Village Management Using the Pentahelix Collaboration Model in Bandung Regency

The number of tourists coming to Indonesia has increased, referring to data from the Central Bureau of Statistics (BPS) (2024), foreign tourist visits are still increasing, namely by 30.17% in 2022 and cumulatively at the end of 2023, the number of foreign tourist visits has reached 10. 41 million visits, an increase of 110.86 percent compared to the same period in 2022-2023. This shows that the recovery of the tourism sector in Indonesia is still continuing. Tourist villages have become an alternative travel experience for tourists after the cultural shift from mass tourism as a result of the Covid-19 pandemic, which has seen crowds and massive numbers of immigrants shift to alternative tourism to enjoy rural nature and the social and cultural life of its people. Tourism villages are one of the priority programs of the Indonesian Ministry of Tourism and Creative Economy, the implementation of which requires cooperation from various parties. Petahelix Cooperation is an option in implementing this program. This research focuses on identifying the role of each actor involved in the Tourism Village ecosystem from each stakeholder who is part of the Penta Helix collaboration, namely the government as a facilitator and regulator, academics as a conceptor and tasked with sharing academic information, business which is a business actor who plays a role as an enabler for economic progress, community communities who serve as accelerators and drivers in tourism development and the media as information providers, entertainers and as social controls. Using a qualitative explanatory research method with a case study approach to describe the researcher's general view and try to reveal in depth the role of 5 actors in managing the Tourism Village in Alam Endah Village, Bandung Regency.

Comparison of Chi-Square Automatic Interaction Detector (CHAID) and Random Forest Methods in the Classification of Household Poverty Status in Central Java

Central Java was in second position as the province with the highest number of poor people in Indonesia in March 2020. Poverty alleviation efforts have been carried out, but many are still not yet on target. The purpose of this study was to model the classification of household poverty status in Central Java using CHAID and random forest methods and compare the two methods. The data used in this study is data from the 2020 National Socioeconomic Survey (SUSENAS) conducted by the Central Bureau of Statistics (BPS) for Central Java. The number of poor households is much less than non-poor households. Therefore, Synthetic Minority Oversampling Technique (SMOTE) was performed to handle unbalanced data. The random forest method produced better classification performance than the CHAID method with accuracy, sensitivity, specificity, and AUC of 93,95%, 98,43%, 89,92%, and 0,9417, respectively. The important variables that build the random forest model are the floor area of the house, the age of the head of the household, cooking fuel, the place for the final disposal of feces, and ownership of the place to defecate.

Geographically Weighted Regression Modeling with Adaptive Gaussian Kernel Weighting on GRDP in Indonesia

The purpose of this study is to determine the variables that affect Gross Regional Domestic Product (GRDP) in Indonesia in 2022 using Geographically Weighted Regression (GWR) with Adaptive Gaussian kernel weighting function. The data used in this study uses secondary data taken from the website of the Central Bureau of Statistics. The variables used are gross regional domestic product of 34 provinces in Indonesia (Y, in billion rupiah), labor force participation rate (X1, in %), foreign investment (X2, in million dollars), open unemployment rate (X3, in %) and human development index (X4, in %). Data were analyzed using GWR with adaptive gaussian kernel weighting function. GRDP in all provinces on the island of Sumatra (11 provinces), DKI Jakarta province, Banten province, and West Kalimantan province are influenced by foreign investment (X2) and human development index (X4). Meanwhile, GRDP in the other 19 provinces is only influenced by foreign investment (X2). GWR model with adaptive gaussian kernel weighting function is formed differently for each province in Indonesia. Keywords: Adaptive gaussian kernel; GWR; gross regional domestic product

PENGARUH NILAI TUKAR, PDB, DAN PEMBIAYAAN BANK SYARIAH TERHADAP EKSPOR KOPI DI INDONESIA

This research aims to determine the influence of exchange rate variables, Gross Domestic Product (GDP) and Sharia Financing on coffee exports in Indonesia. The method used in this research is a quantitative method, using timeseries (secondary) data with data collection techniques using documentation studies, namely by collecting data on Exports, GDP, Exchange Rates and Financing distributed by Sharia Banking obtained from the website of the Central Bureau of Statistics (BPS). ), Bank Indonesia (BI), Financial Services Authority (OJK) and ICO (International Coffee Organization). The data was then analyzed using the VECM (Vector Error Correction Model) method using Eviews 10 software. This shows that financing has an effect on the exchange rate which is significant in the long term but has no significant effect in the short term. Apart from that, based on the results of the impulse response analysis, it caused shocks but did not cause too much volatility in Indonesian coffee exports. The exchange rate has no effect on GDP, and GDP has no effect on financing. Then, based on the results of the variance decomposition analysis, it shows that the value of financing plays the biggest role in the exchange rate of Indonesian coffee exports. And it has a significant effect in the long term but does not have a significant effect in the short term on the volatility of Indonesian coffee exports.

Analyzing the Impact: The Role of MSME Growth in Reducing Unemployment Amidst High Levels of Poverty

This study employs a quantitative research method to examine the impact of the number of MSMEs and poverty rates on unemployment rates in Indonesia from 2011 to 2022, utilizing data from the Central Bureau of Statistics (BPS Indonesia) and Bank Indonesia. The analysis reveals a significant relationship between the increase in MSMEs, poverty index fluctuations, and unemployment rate changes during this period. The findings demonstrate a strong correlation between the growth of MSMEs and a reduction in unemployment, whereas the relationship between poverty levels and unemployment rates is weak. This suggests that the expansion of MSMEs is an effective strategy for reducing unemployment and improving economic conditions. The study aims to enhance understanding of the factors influencing unemployment and the challenges policymakers face, providing valuable insights for efforts to combat unemployment. Additionally, the dataset used may benefit other studies addressing unemployment issues in Indonesia and similar regions. The results confirm the crucial role of MSME development in lowering unemployment rates, highlighting its potential as a viable policy approach for economic improvement.

Street Vendors (PKL) Household Economic Sustainability in East Jakarta Based on Migration Status and Location Trade on Time Pandemic Covid-19

<span lang="EN-US">This study aims to analyze the influence between migration status and influence between the types of existing street vendors (Local government-assisted location/Lokbin, Temporary location/Loksem, Base /fixed location/Lapak, and Hawkers/Asongan) to resilience economy House ladder Street vendors. Method study: This is quantitative, using a survey questionnaire of the Central Bureau of Statistics and master plan street vendors DKI. Amount respondents’ study is 420-person street vendors in Jakarta East. Data processed use SPSS with equality regression logistics ordinal. street vendors Which status resident non-risen migrants and non-lifetime migrants are at high economic resilience. street vendors in local government-assisted location chance resilience economy tall than street vendors who are in temporary locations, base/fixed locations, and hawkers).</span>

Analysis of the Effect of Regional Original Revenue and Balance Funds on Gross Regional Domestic Product in Lombok Barat Regency in 2010-2022

Economic growth can detail many aspects of an economy. The purpose of this study was to analyze the effect of Regional Original Revenue and Balance Funds on Gross Regional Domestic Product in Lombok Barat Regency. This study uses descriptive research with a quantitative approach. The data collection technique used is literature study and documentation. The data used is secondary data from 2010-2022 obtained from the Central Bureau of Statistics and the Regional Financial and Asset Management Agency (BPAKD) of Lombok Barat Regency. The analysis method used in this research is multiple regression analysis with hypothesis testing using the classical assumption test, followed by a partial t test, a simultaneous f test, and a coefficient of determination (R²) test with a significant level of 5%. The results of the econometric criteria test research in this study did not have classical assumption deviations. Based on partial and simultaneous tests, it shows that Regional Original Revenue and Balance Fund have a positive relationship and have a significant effect on Gross Regional Domestic Product in Lombok Barat Regency. As for the coefficient of determination (R²) value of 98% is influenced by the amount of Regional Original Income and Balance Fund while the rest is influenced by other variables outside the model.

Pengaruh Penyaluran Kredit Perbankan Terhadap Pertumbuhan Ekonomi di Nusa Tenggara Timur Tahun 2013 – 2022

Banking plays a crucial role in society. Banks, as direct partners of the community, serve as the main drivers of the economy. The significance of the banking sector in shaping development directions, fostering economic growth, and enhancing societal welfare has been acknowledged by various societal elements. This study aims to examine the regression outcomes of variables such as working capital loans, investment loans, and consumer loans on economic upliftment in the region of East Nusa Tenggara Province. Multiple linear regression analysis, t-tests, and F-tests are employed as statistical methods to discern the relationships between several independent variables and the dependent variable in this research. Secondary data spanning a decade are collected from the Central Bureau of Statistics of East Nusa Tenggara Province. The findings reveal that economic growth in East Nusa Tenggara Province is positively and significantly influenced by investment loans and consumer loans, while working capital loans exhibit a negative and insignificant impact.

Morphological relationship of coffee varieties (Coffea spp.) arabica and robusta in Pondok Gajah Experimental Garden Bener Meriah

Abstract Coffee is one of the plantation commodities with a high economic value among other plantation crops and plays an important role as a source of foreign exchange. Indonesian coffee is classified into two types of coffee, namely arabica coffee and robusta coffee. According to data from the Central Bureau of Statistics of Aceh Province (2019), the area of coffee plantations in Aceh reached 123,749 ha with a production of 68,493 tons. About 85% of the land area is planted with arabica coffee, while the rest is planted with robusta coffee. This study analyzes the morphological relationships of various Arabica and Robusta coffee plant varieties at the Gayo Experimental Garden, Pondok Gajah District, Bener Meriah Regency, Aceh Province. Samples of coffee varieties were selected by purposive sampling method. The morphological characters observed were 25 on stem organs, leaves, flowers, fruits, and beans. Data analysis was conducted using the NTSYS program and presented as a dendrogram. The results showed that eleven coffee varieties were grouped into four groups. The variety that has the furthest kinship is Mocca Yaman, with a coefficient value of 0.58. The varieties with the closest kinship are C 48 and C 49, with a coefficient value of 0.84. These two varieties have similarities in the 19 observed morphological characters.

Staatswissenschaften and the Mathematical Policy Science of Jan Tinbergen

The rise of mathematical economics is typically understood as a fundamental shift in the language and technique of economic theorizing. This article argues that an examination of Tinbergen's work demonstrates that a similar “mathematical” turn occurred in economic policy. This article contextualizes Tinbergen's professional career at the Dutch Central Bureau of Statistics and his early policy-oriented contributions as exemplified by the applied policy reports that he wrote between 1931 and 1936. His econometric work, including his seminal 1936 model of the Dutch economy and the closely related League of Nations model of the US economy, was rooted in his vision that business cycle research functioned in the service of the state. His work was aimed not at uncovering fundamental or structural relationships in the economy but at practical interventions in the economy by a state that developed control over new instruments of macroeconomic management. As such it can be and has been analyzed as an important contribution to economics as an engineering science. But this article demonstrates that Tinbergen also explicitly depicted the economy from the perspective of the policymaker and that he was attentive to the changing institutional order of the national and international economy. Tinbergen's work in this respect owed a great deal to the more political-economic tradition of German Staatswissenschaften than is typically acknowledged.

Artificial Neural Network Model Application for Validating and Predicting Ruminant Population in East Java, Indonesia

Abstract The aim of this study was to develop a model that could estimate the population of ruminants (beef cattle, goats, and sheep) in East Java with high accuracy. Secondary data on ruminant livestock populations in 31 regencies in East Java Province were acquired from the Central Bureau of Statistics of East Java between 2009 and 2020. Modeling backpropagation neural networks and feedforward learning processes with architectural models for beef cow population 11-3-1, goat population 11-3-1, and sheep population 11-5-1 are used to predict the population of ruminants in East Java. This architecture has a precision of more than 90%. The prediction RSquared (R2) for the beef cattle population is 0.997, the goat population is 0.998, and the sheep population is 0.975.

The Effect of Regional Fiscal Capacity Index, Government Expenditure, and Inflation on Human Development in Indonesia

Although still below the global average, Indonesia Human Development Index is increasing annually. The HDI of provinces in Indonesia also exhibited an upward trend. Fiscal capacity, government spending, and inflation are subject to continuous fluctuation. Consequently, this study aims to analyze the effects of regional fiscal capacity, government spending, and inflation on Indonesia's Human Development Index in both short and long terms. Secondary quantitative data were also used in this study. This study employs panel data obtained from the Ministry of Finance and Central Bureau of Statistics, focusing on 33 Indonesian provinces. The data used for this study comprised 594 observations, which were analyzed using the ARDL method. The results indicate that the fiscal capacity variable positively affects the Human Development Index in the short run but has no effect in the long run. The government expenditure variable does not affect the Human Development Index in the short term but exhibits a positive effect in the long term. Conversely, the inflation variable negatively affects the Human Development Index in the short term but positively affects it in the long term. The Indonesian government should implement more intensive policies to improve its HDI. This includes utilizing fiscal space with a budget that prioritizes education, health, economic improvement, and maintaining inflation stability to enhance people's welfare as an indicator of the HDI calculation. Researchers in the same field should consider incorporating additional variables and employing a larger sample size to produce more comprehensive, in-depth research and clearer results regarding the Human Development Index in Indonesia.

Rantai Pasok Kopra Di Desa Cio Gerong Kecamatan Morotai Selatan Barat Kabupaten Pulau Morotai

The purpose of this study was to analyze and describe the copra supply chain in Cio Gerong Village, South West Morotai District, Morotai Island Regency. The research was conducted for 3 months, from August to November 2023. The research was conducted in Cio Gerong Village, South West Morotai District, Morotai Island Regency. This research uses primary data taken by conducting surveys, interviews, questionnaires, and documentation to respondents directly. The secondary data were taken through relevant agencies, such as the Central Bureau of Statistics, literature books, literature, journals from the internet. Sampling of farmers was done purposively (purposive sampling), the number of samples selected was 10 samples from 50 copra farmers, while the sample for copra traders was 5 people from 10 copra collectors. The data analysis used is descriptive method to identify product flow, financial flow and information flow. The results showed that the supply chain in Cio Gerong Village, West South Morotai Subdistrict, Morotai Island Regency, based on the flow of products from upstream to downstream starting from copra farmers, small collectors, and large copra collectors. The financial flow from downstream to upstream starts from large collecting traders buying copra from small collecting traders with a cash payment system and small collecting traders buying copra from farmers with a cash payment system. The flow of information flows from two directions, namely the first direction of large collectors to small collectors then to farmers, the second direction is farmers to small collectors then to large collectors.

Membandingkan Nilai Tukar Petani Padi Dan Palawija Di Sulawesi Utara

The purpose of this study was to compare farmers' exchange rate between rice and secondary crops in North Sulawesi Province. The research lasted for 3 months from September to November 2023, conducted at the BPS office of North Sulawesi Province. The data used in this research data is secondary data, namely data on the exchange rate of rice and food crop farmers obtained from other parties in the form of finished data in the form of publications in the form of monthly farmer exchange rate developments at the North Sulawesi Province level. The data used in this study is data in the form (time series) of the last 2 years from 2021 to 2022. The data was obtained from various sources, namely the Central Bureau of Statistics (BPS) and website sources related to the research. The variables measured in this study are the period in years of data on food crops, namely rice and secondary crops. Data analysis method of calculation formula of It and Ib, calculation of NTP, calculation of NTUP, T test analysis, and Trend analysis. The results showed that the farmer exchange rate on secondary crops was higher than the farmer exchange rate on rice, which meant that the purchasing power of farmers was higher.

Analisis Tren Nilai Tukar Petani Antar Subsektor Pertanian Di Provinsi Sulawesi Utara

This study aims to analyze the trend of Farmer Exchange Rate between five agricultural subsectors in North Sulawesi Province in 2013-2022. The data collection method in this research is the secondary data survey method. This research uses time series data in 2013-2022 obtained from the North Sulawesi Central Bureau of Statistics. Data analysis in this study used trend analysis with the least square method. The results showed an increasing trend in the five subsectors in the future. The trend analysis formula formed in the food crop subsector is 98.10 + 0.38x, in the horticulture subsector is 101.55 + 0.41x, in the plantation subsector 96.85 + 0.46x, in the livestock subsector is 102.21 + 0.28x, and in the fisheries subsector is 104.049 + 0.34x. The subsector that showed the highest increase was the plantation subsector. The subsector that experienced the lowest increase was the livestock subsector.

Economic Growth Mediates Village Funds And Original Local Government Revenue Towards Poverty In Regencies/Cities In East Java

Purpose: The mean of its research was to examine the effect of Village Funds and Local Government Revenue (PAD) on poverty mediated by economic growth in regencies and cities in East Java province.Design/Method/Approach: The research population is regencies/cities in East Java in 2015–2022. The data on Village Funds and Local Government Revenue were taken from the DJPK of the Ministry of Finance Republic Indonesia situs. The data on poverty and economic growth were obtained from the website of the Central Bureau of Statistics (BPS) of East Java Province. The data analysis used path analysis. Findings: The outputs declare Village Funds had a significant positive influence on poverty. Village Funds have no significant influence on economic accretion. Local Government Income has a significant negative influence on poverty. Local Government Revenue has a significant positive influence on economic accretion. Economic increases has a significant positive influence on poverty. Village Funds have a significant positive indirect impact on poverty by way of economic growth. Original Government Revenue has a significant positive indirect influence on poverty through economic increases.Originality/Values: Economic growth must be encouraged because it is able to mediates village funds and original local government revenue towards poverty in regencies/cities In East Java.