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The Central Statistics Agency explains that poverty is the inability to meet minimum standards of needs, both food and non-food needs. According to BPS, poverty is the condition of a person who is only able to meet his food needs of less than 2100 calories per capita per day. This research aims to determine the influence of inflation, GRDP and household consumption on poverty levels in Indonesia for the 2019-2022 period. The data used in this research is secondary data in the form of monthly time series data for four years, namely 2019-2022 with a sample size of 48. The analytical method used is a quantitative method with multiple linear regression analysis. Based on the results of the T test analysis, it was found that the variables Inflation, GRDP and Household Consumption partially influence poverty in Indonesia. Then an F test was carried out which showed that the variables Inflation, GRDP and Household Consumption simultaneously had a significant effect on poverty in Indonesia. This determination produces a determination (R2) of 0.959. Shows that the contribution of the variables Inflation, GRDP and Household Consumption to Poverty in Indonesia is 95.9%. Meanwhile, the remaining 4.1% is explained by other variables not included in this study.

IPM is an important indicator for measuring success in efforts to build the quality of human life (society/population) in Indonesia, including in West Sumatra Province. The aim of this research is to analyze gross regional domestic product, economic growth rate, Gini index and poverty in West Sumatra Province 2013-2022. The analytical method used in this research is multiple linear regression analysis. The data used in this research is secondary data and is a form of time series data. Based on the results of multiple linear analysis, PDRB per capita partially has a positive and significant effect on IPM in West Sumatra Province, while the Growth Rate and Gini Index partially have a negative and insignificant effect on IPM in West Sumatra Province and Poverty partially has a positive and insignificant effect on PDRB West Sumatra. Simultaneously GRDP Per Capita, Economic Growth Rate, Poverty and Gini Index have a significant effect on IPM. So the fifth hypothesis states that simultaneously PDRB per capita, economic growth rate, poverty and Gini index have a significant effect on IPM

The island of Sumatra has 10 provinces with a Human Development Index level that is not much different from the national Human Development Index, several provinces on the island of Sumatra have a Human Development Index below the national Human Development Index. The aim of this research is to analyze the Human Development Index and the factors that influence it in Sumatra for the 2018-2022 period. This research is quantitative research. The variables used in this research are the Human Development Index, Gross regional domestic product, Economic Growth, Poverty, and the Gini Index. The panel data method is used for analysis in the form of cross section data from 10 provinces on the island of Sumatra and time series data for 2018-2022. The results of this research show that Gross regional Domestic Product and Economic Growth have a negative and insignificant effect on the Human Development Index, Poverty and the Gini Index have a negative and significant effect on the Human Development Index in Sumatra for the 2018-2022 period.

The quality of life in North Sumatra currently still needs improvement, where poverty rates and human development are still lagging. These problems can be reflected in the community welfare indicator, namely the Human Development Index (IPM). One of these problems can be solved by knowing the factors that determine the Human Development Index in North Sumatra. The Human Development Index is suspected to contain elements of spatial dependency, therefore in this study the spatial regression method will be used with a spatially dependent effect model. The results of the analysis and discussion obtained are that the SAR model is the appropriate model in the case of the Human Development Index in North Sumatra. Predictor variables that significantly influence the Human Development Index in North Sumatra are Pure Enrollment Rate (APM) at Senior High School level , Poverty Rate , Open Unemployment Rate , and PDRB on the basis of price .

Gross Regional Domestic Product (GRDP) illustrates the ability of a region to create output on a certain period. Gross value can be seen from the development and growth of the economy including the tourism sector in certain years in Manado city. The aim of this research was to identify and describe the contributions of the companies in the tourism sector to the GRDP of Manado City. This research was conducted at Manado City Tourism Office, Central Bureau of Statistics Manado City, and in some tourism industries that exist in Manado City, such as hotels, restaurants and travel agents. This research used quantitative methods with statistical mathematical and descriptive approaches using the analysis percentage of GRDP. The results show that the contribution of GRDP of tourism sector to the total GRDP of Manado City have increase. It was found also that the company's biggest contribution in the tourism sector to GRDP were from trade, hotels and restaurants and the smallest was from the entertainment and recreation. The increased in contribution of the tourism industry sector was caused by the construction of new hotels, restaurants, newly built tourism objects and improved existing tourism objects and other support facilities.

Pertumbuhan ekonomi merupakan kondisi alamiah yang menunjukkan keberhasilan suatu daerah dalam melaksanakan pembangunan ekonomi daerah. Perkembangan sektor ekonomi daerah tidak terlepas dari basis sektor-sektor yang mempengaruhi sektor ekonomi daerah. Keberhasilan suatu daerah dalam mendukung kesejahteraan masyarakatnya dapat diukur dari meningkatnya pertumbuhan sektor ekonomi daerah. Pertumbuhan ekonomi yang dilakukan di suatu daerah dan prosesnya akan saling berkaitan yang selanjutnya akan berlangsung terus menerus setiap tahunnya, yang merupakan syarat terpenting bagi keberlangsungan pembangunan ekonomi daerah. Jenis penelitian yang digunakan peneliti dalam penelitian ini adalah jenis penelitian kuantitatif yang menitikberatkan pada pengujian data dimana pembahasan dalam penelitian ini bergantung pada hasil yang akan diperoleh dari estimasi data yang digunakan peneliti. objek penelitian adalah perekonomian di Kabupaten Tanjung Jabung Barat. Penelitian ini menggunakan data sekunder dan juga time series. data diperoleh dari Badan Pusat Statistik (BPS) dengan cara dokumentasi dan observasi. Adapun dari hasil penelitian tidak terdapat sektor basis dalam penggunaan pendekatan Location Quotient, dalam perhitungan menghasilkan tiga sektor potensial yaitu sektor Pertambangan dan Penggalian, sektor Industri Pengolahan dan sektor Jasa Perusahaan.

North Sumatra's economic growth often experiences fluctuationsthere are changes in external and internal conditions. Studyit aims to find the Multivariate Adaptive Regression Splines model(MARS) on the GRDP growth rate in North Sumatra according to the fieldbest effort using Generalized Cross Validation (GCV) criteria. Methodquantitative research, where the data used is secondary datataken from the Central Bureau of Statistics of North Sumatra, namely Domestic Product data North Sumatra Regional Gross Regional Gross Domestic Product (GRDP) by business sector. Studyin the form of the best MARS model obtained from the piecewise-cubic model andThe level of importance of the predictor variables to the best modelobtained significantly affect the Growth Rate of Domestic ProductsGross Regional by Business Field in North Sumatra.

Artikel ini bertujuan untuk menganalisis pengaruh industri kecil terhadap pertumbuhan ekonomi yang ada di Kabupaten Malang. Melihat dari segi geografis, wilayah tersebut dekat dari bahan baku untuk industri. Hasil analisis menunjukkan pengaruh industri kecil terhadap pertumbuhan ekonomi ini dapat disimpulkan bahwa perkembangan PDRB Kabupaten Malang naik stabil di setiap tahunnya dari periode 2010 sebesar 41.342.862,10 menjadi 64.819.044,55 di tahun 2018 salah satunya akibat berkembangnya industri kecil yang ada. Pertumbuhan industri kecil ini dapat dilihat dari bertambahnya unit usaha industri kecil hingga di angka 1.527 di tahun 2018. Dengan banyaknya usaha industri kecil tersebut maka berpengaruh terhadap jumlah tenaga kerja dan nilai investasi sebagai modal yang juga bertambah untuk mendapatkan produktivitas yang lebih besar. Dari faktor-faktor tersebut berdampak pada  pengaruh industri kecil terhadap PDRB Kabupaten Malang yang terus bertambah secara signifikan.