Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
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
Articles
90 Documents
<![CDATA[Analisis Keluhan Kesehatan Balita Menurut Kualitas Sanitasi dan Air Minum Rumah Tangga Provinsi Jambi ]]>
<![CDATA[Ni Kadek Suardani]]>
<![CDATA[ Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 6 No 02 (2023): Media Edukasi Data Ilmiah dan Analisis (MEDIAN) ]]>
Publisher : <![CDATA[Badan Pusat Statistik Provinsi Jambi ]]>
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DOI: 10.64679/median.v6i02.73
<![CDATA[Alleviation of stunting in Jambi Province has not been in line with the percentage of sanitation and adequate drinking water. In fact, besides toddlers, in the indicator of accelerating stunting alleviation target, BKKBN also sets targets for sensitive intervention services; including access to sanitation and adequate drinking water. Therefore, analysis related to toddler health that can describe Jambi Province as a whole is needed to support evaluation and program development more effective. Using binary logistic regression to the 2022 Susenas data did not find any significant influence of the quality of sanitation and drinking water on health complaints of children under five. However, with interaction variables, the results showed that the risk of toddlers living in houses with inadequate drinking water quality and the lowest 40% economic level to get health complaint; is 1,2 times higher than toddlers from households with access to adequate drinking water and an economic level in the top 20%. The implication for policy is that government programs can focus more on families of children under five with middle to lower economic conditions who cannot yet access adequate drinking water.]]>
<![CDATA[Penerapan Biplot PCA dan K-Medoids Cluster pada Segmentasi Wilayah Berdasarkan Potensi Kelapa Sawit ]]>
<![CDATA[Septie]]>
<![CDATA[ Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 6 No 02 (2023): Media Edukasi Data Ilmiah dan Analisis (MEDIAN) ]]>
Publisher : <![CDATA[Badan Pusat Statistik Provinsi Jambi ]]>
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DOI: 10.64679/median.v6i02.74
<![CDATA[Palm oil is one of the plantation commodities which has an important role in the Indonesian economy. Indonesia's palm oil (CPO) production is the largest in the world, with a very large plantation area. Seeing the importance of the palm oil commodity, area-based planning is very necessary. In this research, Biplot Principal Component Analysis (Biplot PCA) analysis was used to look at the positioning and mapping of provinces based on palm oil potential data, as well as the relationship patterns of provinces with palm oil potential indicators. Researchers also segmented these provinces using K-Medoids Cluster analysis, which will later obtain provincial segmentation results based on oil palm potential indicators. Based on the results of the PCA Biplot analysis, four groups of provinces were obtained with the same characteristics in each group. Meanwhile, to look at provincial groups based on palm oil potential indicators more objectively, a K-Medoids Cluster analysis was carried out. KMedoids Cluster is a method for grouping objects that is robust against outliers. From the results of the K-Medoids Cluster, four provincial clusters were obtained based on oil palm potential indicators.]]>
<![CDATA[Mengulik Perkawinan Usia Dini di Provinsi Jambi Tahun 2022: Pengaruh Pendidikan dan Tingkat Kesejahteraan terhadap Perkawinan Usia Dini ]]>
<![CDATA[Ririh Jatismara]]>
<![CDATA[ Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 6 No 02 (2023): Media Edukasi Data Ilmiah dan Analisis (MEDIAN) ]]>
Publisher : <![CDATA[Badan Pusat Statistik Provinsi Jambi ]]>
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DOI: 10.64679/median.v6i02.75
<![CDATA[Early marriage is the marriage of children under the age of 19 which is still a concern throughout the world. In Jambi Province, there are still marriages of women aged 10-19 years. Otherwise, this age is the time for children’s education from elementary, junior high school, senior high school and the equivalent. Indirectly, children will be phase with household conditions that will think about post-marriage expenses. What is likely to happen is working to meet spending needs and stopping school for married girls. The expenditure consumed will certainly indicate the level of welfare for married women. Education and welfare levels turn out to be very influential when women decide to marry under the age of 19 both reproductively, mentally and emotionally. The results of the regression model interpret that if the level of education and level of welfare increase, early marriage will decrease. The modeling obtained is as follows: Y = 0,52-0,32X1-0,03X2.]]>
<![CDATA[Transformasi Tenaga Kerja Sektor Pertanian di Provinsi Jambi ]]>
<![CDATA[Dwi Satria Firmansyah]]>
<![CDATA[ Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 6 No 02 (2023): Media Edukasi Data Ilmiah dan Analisis (MEDIAN) ]]>
Publisher : <![CDATA[Badan Pusat Statistik Provinsi Jambi ]]>
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DOI: 10.64679/median.v6i02.78
<![CDATA[One of efforts to increase economic added value is through economic structure transformation. The impact of the transformation of the economic structure is the transformation of workforce. Economic transformation that is not accompanied by labor transformation can result in lower incomes for workers in the agricultural sector and a scarcity of labor in the non-agricultural sectors. The goal of this research is to analyze the transformation of the workforce structure in Jambi Province and to build a model that can explain the transformation of the workforce structure in Jambi Province during 2018-2022. Using panel regression analysis, this research found that the GRDP ratio and average years of schooling had a linear positive effect on the transformation of labor structure. Thus, it can be said that these two variables can encourage workforce transformation in Jambi Province. Regarding the various results obtained, there are several policy suggestions and recommendations that can be given to related parties.]]>
<![CDATA[Analisis Dampak Ekstraksi Sektor Pertambangan Batubara Provinsi Jambi ]]>
<![CDATA[Tita Rosy]]>
<![CDATA[ Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 6 No 02 (2023): Media Edukasi Data Ilmiah dan Analisis (MEDIAN) ]]>
Publisher : <![CDATA[Badan Pusat Statistik Provinsi Jambi ]]>
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DOI: 10.64679/median.v6i02.88
<![CDATA[This research examines the impact of the loss of the coal mining sector or what is known as extraction analysis in Jambi Province. The findings of this research show that the elimination of dominant economic sectors can have a significant impact on not only the mining sector itself, but also other sectors. The three major sectors affected apart from the coal mining sector if the coal mining sector is removed from the Jambi economy are the wholesale and retail trade sectors, not cars and motorbikes; the land transportation sector, and the coal industry and oil and gas refining sectors. Another important finding from this research shows that extracting the coal mining sector in Jambi Province is not the biggest cause of the decline in economic output. In line with the government's efforts to encourage green economy issues, the findings of this research inform that the government does not need to worry about a significant economic decline due to the extraction of this sector. The Jambi Province Input Output Table is a tool used to derive this extraction analysis.]]>
<![CDATA[Faktor-faktor yang Mempengaruhi Penduduk Lanjut Usia Bekerja di Provinsi Jambi ]]>
<![CDATA[Nova Moestafa]]>;
<![CDATA[Vitalia Susanti]]>;
<![CDATA[Linda Annisa]]>
<![CDATA[ Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 7 No 01 (2024): Media Edukasi Data Ilmiah dan Analisis (MEDIAN) ]]>
Publisher : <![CDATA[Badan Pusat Statistik Provinsi Jambi ]]>
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DOI: 10.64679/median.v7i01.90
<![CDATA[The elderly should enjoy life in sufficiency and prosperity. They can enjoy work results of their labors in their youth and do not have to worry about the adequacy of their daily needs and the protection of their health. However, about 50 percent of the elderly in Jambi Province still decided to work for the last 5 years.This study aims to get a description of the characteristics of the working elderly and analyze the influencing factors of the working elderly in Jambi Province. The analytical method used is descriptive analysis and inferential analysis using binary logistic regression using data National Socio-Economic Survey or Survei Sosial Ekonomi Nasional (Susenas) of Jambi Province in March 2021. The findings in this study indicate the man activity of most of the elderly in Jambi Province is working (51,74%). The characteristics of the working elderly are dominated by the elderly living in rural areas, are male, do not have physical barriers, do not have health insurance, and married and have status as the head of the family have a greater tendency to still working in old age. Keywords: disability, productive elderly, demographic deviden]]>
<![CDATA[Pemodelan Indeks Pembangunan Manusia di Provinsi Papua Tahun 2022 Menggunakan Analisis Regresi Spasial ]]>
<![CDATA[Aqilla Haya]]>
<![CDATA[ Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 7 No 01 (2024): Media Edukasi Data Ilmiah dan Analisis (MEDIAN) ]]>
Publisher : <![CDATA[Badan Pusat Statistik Provinsi Jambi ]]>
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DOI: 10.64679/median.v7i01.93
<![CDATA[The Human Development Index (HDI) measures human development achievements based on several fundamental components of quality of life. Inequality or disparity in HDI across districts/municipalities in Papua Province is recorded as the highest in Indonesia. Therefore, this study examines the modeling of the Human Development Index (HDI) in Papua Province in 2022 using spatial regression analysis. The steps undertaken in this study include descriptive and inferential analyses. In the descriptive analysis, an overview of the variables was presented using histograms and thematic maps. In the inferential analysis, spatial autocorrelation was tested and found to be significant using Moran’s I test. Subsequently, the Spatial Error Model (SEM) was applied, showing that the variables significantly affecting HDI are Gross Regional Domestic Product (GRDP) and the percentage of the poor population.]]>
<![CDATA[Kesesuaian Klasifikasi Rumahtangga Menurut Kemiskinan Moneter dan Multidimensi di Provinsi Jambi ]]>
<![CDATA[Syaeful]]>
<![CDATA[ Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 7 No 01 (2024): Media Edukasi Data Ilmiah dan Analisis (MEDIAN) ]]>
Publisher : <![CDATA[Badan Pusat Statistik Provinsi Jambi ]]>
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DOI: 10.64679/median.v7i01.96
<![CDATA[Pengukuran kemiskinan multidimensi merupakan sebuah alternatif indikator kemiskinan yang bisa disandingkan dengan indikator kemiskinan moneter. Penelitian ini bertujuan untuk membandingkan capaian indikator kemiskinan berdasarkan kemiskinan moneter dan multidimensi, baik dari sisi makro (kabupaten/kota) maupun mikro (rumahtangga). Ketika kemiskinan moneter dihitung berdasarkan indikator unidimensi yaitu pengeluaran per kapita sebulan, sedangkan kemiskinan multidimenasi menggunakan 3 dimensi yaitu pendidikan, kesehatan, dan standar hidup. Konsep multidimensi yang digunakan dalam penelitian ini berdasarkan konsep Oxford Poverty Human Depelovment Initiative yang memuat 3 dimensi dan 10 indikator. Dalam proses analisisnya, pertama dilakukan pembentukan kuadran posisi kabupaten/kota berdasarkan kondisi indikator kemiskinan moneter dan multidimensi. Kedua, dilakukan pengolahan data mikro survei sosial ekonomi nasional untuk identifikasi ketidaktepatan klasifikasi (mismatches) rumahtangga berdasarkan ukuran kemiskinan moneter (termasuk standar kemiskinan internasional) dan multidimensi. Berdasarkan hasil pengolahan diperoleh hasil bahwa kemiskinan multidimensi kabupaten/kota di Provinsi Jambi memberikan arah atau rangking yang berbeda dengan kemiskinan moneter kabupaten/kota. Dalam mengelompokan kategori tidak miskin-tidak miskin, semakin besar standar kemiskinan internasional yang digunakan ternyata menurunkan ketepatan klasifikasi. Begitu juga untuk kategori Miskin-tidak miskin, ketepatan klasifikasi menurun juga mengikuti naiknya standar kemiskinan internasional. Sebaliknya untuk klasifikasi tidak miskin-miskin, mengalami kenaikan seiring dengan naiknya standar kesejahateraan internasional. Begitu juga untuk klasifikasi miskin-miskin menunjukkan peningkatan ketika standar kesejahtranyya dinaikan. Hasil lainnya menunjukkan bahwa kondisi penduduk yang memiliki skor kekurangan (deprivasi) 1 indikator bisa dikatakan mempunyai pola berbeda dengan karakteristik penduduk dengan tingkat skor kekurangan yang lebih tinggi.]]>
<![CDATA[Kemiskinan, Ketimpangan dan Pandemi : Realita di Jawa Tengah ]]>
<![CDATA[Dewi Novita Sari]]>;
<![CDATA[Endan Suwandana]]>
<![CDATA[ Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 7 No 01 (2024): Media Edukasi Data Ilmiah dan Analisis (MEDIAN) ]]>
Publisher : <![CDATA[Badan Pusat Statistik Provinsi Jambi ]]>
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DOI: 10.64679/median.v7i01.97
<![CDATA[Poverty alleviation has become a homework that continues without stopping. Global poverty alleviation, which has been going well so far, has changed direction due to the Covid-19 pandemic. The World Bank noted that poverty alleviation efforts in 2021 did not achieve rapid enough improvement to return poverty levels to previous year levels. Central Java's poverty, which had increased during the Covid-19 pandemic in 2020, both in terms of numbers and percentages, has shown a decline in 2022. Unlike poverty which shows a downward trend, Central Java's Gini ratio continues to increase during the 2020-2022 period. This study aims to explore the socio-economic aspects that determine poverty in Central Java Province during the 2020-2022 pandemic through descriptive statistical methods. All variables used come from the March 2020 and 2022 National Socio-Economic Survey (Susenas) and are presented in graphical and cross-tabulation form. The results of the descriptive analysis reveal variations in the characteristics of poor and non-poor households during the 2020-2022 pandemic. These differences in characteristics include the average number of household members (ART), gender of the Head of Household (KRT), average per capita expenditure per month, educational level of the household head, business field according to completed education and the main source of household income. ladder. The average age variable for household heads in this study did not differ between poor and non-poor residents during the pandemic.]]>
<![CDATA[Karakteristik Dan Determinan Status Pengangguran Pada Penduduk Usia Muda Di Provinsi Jambi Tahun 2022 ]]>
<![CDATA[Vitalia Susanti]]>;
<![CDATA[Linda Annisa]]>
<![CDATA[ Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 7 No 01 (2024): Media Edukasi Data Ilmiah dan Analisis (MEDIAN) ]]>
Publisher : <![CDATA[Badan Pusat Statistik Provinsi Jambi ]]>
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DOI: 10.64679/median.v7i01.98
<![CDATA[In August 2022, the Open Unemployment Rate (TPT) of the young population in Jambi Province was recorded as seven times the TPT of the adult population and exceeded the national figure. This creates an urgency for the Jambi provincial government to reduce this figure. This study aims to determine the characteristics of the young population with unemployment status and the factors that influence it. By analyzing the August 2022 Sakernas data descriptively, the results show that the unemployed young population in Jambi Province are generally male, unmarried and not the Head of the Household (KRT) and live in rural areas. In addition, the majority of them have high school education and above, have never attended training, are not graduates of the last year (not fresh graduates) and have no previous work experience. Through binary logistic regression analysis, several factors were obtained that had a significant effect on the opportunities for young people in Jambi Province to become unemployed, namely gender, marital status, highest level of education completed, work experience, location of residence and characteristics of graduates. Young people who are male, have never been married/divorced, have high school education or above, have worked/have work experience, live in urban areas and are fresh graduates, are at greater risk of becoming unemployed young age.]]>
