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Rita Rifati
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Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Published by Badan Pusat Statistik Provinsi Jambi
ISSN : 26558084     EISSN : 28285212     DOI : https://doi.org/10.64679/median.v8i01
Core Subject :
Median aims to serve as an academic platform that plays a vital role in disseminating innovative research, enriching scientific literature, and making a meaningful contribution to the advancement of science and technology. Focus and Scope Media Edukasi Data Ilmiah dan Analisis (MEDIAN) is a multidisciplinary, open-access scientific journal dedicated to the rapid publication of high-quality, peer-reviewed research articles in the fields of Mathematics, Statistics, and Informatics. Published by Statistics of Jambi Province, Indonesia, Median is committed to fostering the global exchange of scientific knowledge and ideas. The journal is published twice a year, in June and December, and welcomes submissions from researchers, academics, and practitioners worldwide. Median focuses on a wide range of scientific disciplines, including (but not limited to): Mathematics: Algebra, analysis, geometry, topology, and applied mathematics. Statistics: Mathematical statistics, biostatistics, statistical theory, and statistical methods. Economics: Macroeconomics, microeconomics, development economics, regional economics, and applied economics. Social Sciences: Sociology, demography, public policy, education, and other applied social sciences. Informatics: Computer science, artificial intelligence, data science, machine learning, and big data
Arjuna Subject : -
Articles 90 Documents
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Hubungan Perubahan Mobilitas Penduduk Selama Masa Pandemi Dan Jumlah Kasus Terkonfirmasi Covid-19 Di Provinsi Jambi Rita Rif'ati
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 4 No 01 (2021): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v4i01.44

Abstract

Covid-19 or the corona virus has spread widely in the world and has been designated by the World Health Organization as a pandemic. A pandemic itself can be interpreted as a disease that is endemic to all corners of the world at the same time. This is closely related to the rapid spread rate. The Google Mobility Report provides an overview of movements during a pandemic. The movement illustrates changes in mobility in activity centers, namely: recreational and retail areas, grocery stores and pharmacies, parks, public transportation centers, workplaces, and residential areas. The dataset showing changes in visit and duration of stay at various sites compared to baseline measures of the median value for the appropriate day during the 5 week period preceding the event. This study aims to provide an analysis of changes in mobility during the Covid-19 pandemic and is associated with the number of positive confirmed cases of Covid-19. In addition, this analysis aims to help the process of remediation of the impact of Covid-19 by reviewing changes in mobility. The pattern of movement during Covid-19 in Jambi Province shows that on average the movement of the population to transit stations such as airports or public transportation facilities has decreased by 33 percent, while the pattern of mobility to office centers has decreased by 20 percent from the baseline. Changes in population mobility patterns in public transportation service centers were followed by an increase in confirmed cases of Covid-19. Pearson's correlation test results show that four categories of places have a significant relationship with the addition of positive cases of Covid-19, while 2 variables, namely mobility to retail and mobility to the park show insignificant relationships. Changes in the pattern of population mobility to service centers with the number of confirmed cases showed a positive relationship, except for movement to work / offices and movement to residential areas.
Menakar Dampak Tsunami Covid-19 di India terhadap Kinerja Ekspor Provinsi Jambi Oeliestina
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 4 No 01 (2021): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v4i01.45

Abstract

India is ranked seventh as one of the 10 main export destination countries for Jambi Province. India shares 4 to 5 percent of the total exports of Jambi Province per year. Commodities from Jambi Province which are exported to India include rubber, pulp, areca nut, coconut oil, coal, tea, cinnamon, and others. Whatever happens in India is feared to affect the export performance of Jambi Province. The latest situation is the covid-19 tsunami in India that will start in March 2021. The Indian Covid-19 tsunami is suspected to have disrupted Jambi Province's foreign trade with India. The purpose of the study was to observe the export development of Jambi Province and to see the effect/impact of the covid-19 tsunami in India on the export performance of Jambi Province. The research method uses descriptive quantitative analysis by observing the rate, share, and what commodities are exported to India. Meanwhile, to see the effect/impact using the independent sample T-test which is a parametric statistical test. The hypothesis put forward in this study is that the covid-19 tsunami-affected Jambi Province's export performance. The results showed that the export growth rate of Jambi Province to India from January to March 2021 decreased but increased in April 2021. Commodities that experienced an increase in export value during the covid-19 tsunami in India were areca nut and rubber. Test results independent sample T-test produces a significance of 0.021 (<0.05) on the t-test Equality of Means. So, it was concluded that the covid-19 tsunami affected the export performance of Jambi Province.
Efek Limpahan Tenaga Kerja, Investasi, dan TIK terhadap Pertumbuhan Ekonomi di Indonesia: Pendekatan Regresi Panel Dwi Satria Firmansyah
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 4 No 01 (2021): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v4i01.46

Abstract

Indonesia have economic potential that can be developed. This is also supported by various available resources. In line with that, Indonesia is currently the country with the largest economic market in Southeast Asia, even being one of the largest in the world. Nevertheless, Indonesia is still classified as a developing country with lower-middle income. In addition, Indonesia's economic growth in recent years has also experienced a slowdown. If this condition continues in the long term, Indonesia has the potential to fall into the middle income trap which will prevent Indonesia from transitioning to become a developed country and find it difficult to compete with other countries. Therefore, this study aims to analyze and examine the impact of labour, investment, and ICT development on the economic growth in Indonesia during 2015-2019. Using panel regression analysis, this study findings that labour, investment, and ICT development have a linear positive impact on economic growth. Thus, it can be said that these three variables are important determinants in order to increased economic growth. Furthermore, to see the spillover effects that occur between independent variables on economic growth, this study also includes interactions between independent variables. The results showed that there is a positive spillover effects between independent variables on economic growth, where the impact of an independent variable on economic growth would be greater along with the higher the other independent variables. In relation to the various results obtained, there are several policy suggestions and recommendations that can be provided to the parties concerned.
Faktor-Faktor Yang Memengaruhi Kejadian Kejahatan Di Provinsi Jawa Barat Tahun 2018-2020 Dinda Desinta
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 5 No 01 (2022): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v5i01.51

Abstract

The high number of crimes in an area indicates that the condition of the community is increasingly unsafe. The rise of news about crime that is conveyed through electronic media or other media, makes the topic of crime incidents always interesting to discuss. West Java Province is one of the provinces with a high number of crime. In observing an event, it is not enough to only observe at one time, but also observe it in different time periods. The purpose of this study is to determine the factors that influence the incidence of crime in West Java in 2018-2020 using panel data regression. The purpose of this study is to determine the factors that influence the incidence of crime in West Java in 2018-2020 using panel data regression. The data used is sourced from the BPS Central Java website with the independent variables being the open unemployment rate (OUR), Gross Regional Domestic Product (GRDP), the percentage of poor people, total population, and Human Development Index (HDI). The results showed that GRDP, the percentage of poor people, total population, and HDI had a significant effect on the number of crimes, while the variable of OUR has no significant effect on the number of crimes. The government is expected to further promote the family planning program, increase economic activity, and increase security in an effort to reduce the number of crimes.
Studi Perkembangan Kesejahteraan Petani di Provinsi Jambi Muji Lestari
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 5 No 01 (2022): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v5i01.53

Abstract

One of the main benefits of the economic transformation of a country or a region key is measured by the improvement of farmers welfare consistently in the long term. The improvement of farmers welfare in Jambi Province shows the stagnation of agricultural development. This study aims to analyze the factors that influence farmer welfare in Jambi Province as measured by the reduction in rural poverty and the growth of per capita expenditure as dependent variable. The analytical method used is a quantitative approach with multiple linear regression analysis. The independent variables used are the growth of labor in the agricultural sector, the growth of agricultural productivity, changes in economic growth in the agricultural sector, the ratio of regional spending to the economy to total regional spending and investment growth in the agricultural sector. The results of the analysis prove that agricultural productivity growth, agricultural sector economic growth, and regional spending growth for economic activities have a direct impact on reducing rural poverty and increasing per capita expenditure in Jambi Province. Increasing agricultural productivity is very important to maintain the supply of agricultural products. Increasing the rate of agricultural economic growth is very important to keep the demand for agricultural products high. An increase in regional spending will encourage an increase in agricultural production capacity. The policy implications of these findings are the importance of agricultural revitalization policies, expanding marketing networks to keep demand for agricultural products high, as well as sharpening regional spending priorities for improving agricultural infrastructure and supporting facilities, increasing farmer skills, providing support and access to superior seeds, fertilizers, equipment and capital, as well as expansion of marketing networks. The implementation of the 2023 Agricultural Census is a momentum to prepare agricultural revitalization policies by providing data, information and knowledge that are accurate, up-to-date, timely, integrated and in accordance with international standards; and encourage the acquisition and development of integrated agricultural knowledge management
Determinan Perkawinan Anak Di Provinsi Jambi Tahun 2020 Nopriansyah
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 5 No 01 (2022): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v5i01.54

Abstract

This study aims to: 1. Analyze the characteristics of the population who married at the age of children, 2. Identify the factors that influence child marriage in Jambi Province. The results showed that the characteristics of the population who married at the age of children were that the majority were poor, the majority lived in rural areas, the majority were female and the majority had low education. Based on logistic regression analysis, it was found that the factors that influence child marriage in Jambi are population poverty, rural/urban classification, population gender and education level of the population. The odds ratio interpretation shows that the risk of the poor is 1.336 times when compared to non-poor, the risk of people living in rural areas is 1.655 times compared to people living in urban areas, the risk of women getting married at the age of a child is 10.835 times when compared to men and residents with a junior high school education or less have a risk of 5,786 times compared to a population with a higher education level than junior high school.
Analisis Cluster Metode Average Linkage Berdasarkan Indikator Pendidikan Tiap Provinsi Di Indonesia Muhammad Ridwan Cesario; Wardi Syafmen; Bunga Mardhotillah
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 5 No 01 (2022): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v5i01.55

Abstract

The low quality of education will result in the low quality of human resources, and can be overcome with government education assistance. Education quality enhancement can be done using a statistical mathematic method is cluster analysis. The cluster analysis used is the Average Linkage using Euclidean distance. The activity aims to achieve the results of grouping provinces in Indonesia based on the quality indicator of education. Based on the clustering algorithm the results was obtained that 34 provinces in Indonesia were grouped into 5 clusters: Cluster 1 consisting of Aceh, Sumatera Utara, Sumatera Barat, Riau, Jambi, Sumatera Selatan, Bengkulu, Lampung, Kep. Bangka Belitung, Kep. Riau, Banten, Bali, Nusa Tenggara Barat, Nusa Tenggara Timur, Kalimantan Barat, Kalimantan Tengah, Kalimantan Selatan, Kalimantan Timur, Kalimantan Utara, Sulawesi Utara, Sulawesi Tengah, Sulawesi Selatan, Sulawesi Tenggara, Gorontalo, Sulawesi Barat, Maluku, Maluku Utara dan Papua Barat. Cluster 2 is made up of the DKI Jakarta. Cluster 3 consists of Jawa Barat, Jawa Tengah dan Jawa Timur. Cluster 4 is made up of Yogyakarta. Cluster 5 is made up of Papua. Based on the comparison of the average values, the five clusters are sorted according to their level of classification as cluster 4 as a very well categorized, cluster 2 is better categorized, cluster 3 is good categorized, cluster 1 is quite good and cluster 5 is less well categorized.
Determinan Jumlah Kematian Balita Akibat Pneumonia Di Indonesia Tahun 2019 Dengan Pendekatan Generalized Poisson Regression Naning Savitri; Azizah; indah Miranda Angelina Sitorus; Ni Luh Evindia Andini; Novira Laily Husna
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 5 No 01 (2022): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v5i01.56

Abstract

The third goal of Sustainable Development Goals is to ensure a healthy life and promote well-being for all of all ages. One of the indicators is to reduce the under-5 mortality rate (Childhood mortality rate-CMR). The CMR is targeted at less than 25 deaths per 1,000 live births by 2030. A decreased CMR will indicate that the degree of health has increased. Pneumonia is the second leading cause of under-5 mortality in Indonesia, so it needs to be taken seriously. This study aimed to analyze the determinants of the number of under-5 mortality due to pneumonia. This study covered 34 provinces in Indonesia by using the Generalized Poisson Regression. The Poisson regression is not appropriate to use in this study. It is due to the data overdispersion. Population density and the percentage of poor people have a significant effect on under-5 mortality due to pneumonia.
Korelasi Modal Fisik dan Modal Sosial Terhadap Pertumbuhan Ekonomi di Kabupaten Sarolangun Muhammad Ali; Eka Septiana
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 5 No 02 (2022): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v5i02.57

Abstract

ABSTRACT The economic growth of Sarolangun Regency over the last ten years has increased except when the Covid-19 pandemic hit (in 2020). This increase is influenced by many factors, one of which is human resources. The Human Development Index (HDI) of Sarolangun Regency as an indicator of the development of human resources has also increased. Another factor that composes economic growth is physical capital in the form of investment (PMTB). So a study is needed to see the correlation between social capital and physical capital on economic growth in Sarolangun Regency. This study uses the Pearson Product Moment correlation test. The results of the study interpret that the relationship between the Human Development Index (HDI) and economic growth is significant at 0.000 and the r value is 0.995. Likewise, the correlation between physical capital and economic growth with a significance of 0.000 and an r-value of 0.981. The local government of Sarolangun Regency is expected to improve the quality of education and public health so that economic growth continues to increase. Likewise, it is recommended to open a labor-intensive investment faucet to absorb labor so that it can increase people's income. Keywords: Economic Growth; IPM; PMTB
Pengelompokkan Potensi Padi Di Indonesia Menggunakan K-Means Cluster Eko Suprapto
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 5 No 02 (2022): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v5i02.58

Abstract

ABSTRACT The improvements to rice data in Indonesia have been carried out by BPS in collaboration with BPPT using the Area Sample Framework (KSA) method. The KSA survey for rice commodities began to be implemented nationally in 2018 and is included in a national project to support the achievement of one of the national priorities, namely food security, in order to improve food statistics data. Once the agricultural sector is so crucial, especially rice, regional-based planning is absolutely necessary. The purpose of this study is to classify rice potential by province in Indonesia based on the variables of harvested area, productivity, and rice production in 2021 using K-means Cluster analysis. The results of the study resulted in three provincial clusters based on rice potential. The first cluster is a provincial cluster with the highest rice potential or the highest contributor to rice production in Indonesia. The second cluster is a group of provinces that have production values ​​above the average, which is above 1.6 tons of GKG. While the third cluster is a group of provinces with below average rice potential. Keywords: KSA, rice potential, K-means Cluster

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