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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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Ulasan Data IKK Menurut Strata PDRB Kabupaten/Kota – Bagian 1: Kasus Kabupaten Lampung Timur Yurisman Adidarma
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 2 No 01 (2019): 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.v2i01.23

Abstract

The annual publication of the Construction Expansion Index (IKK) is available in the form of softcopy which can be accessed free of charge through the address http://publikasi.bps.go.id/. East Lampung Regency is the district with the lowest IKK in 2018. Viewed from the access side, East Lampung Regency is easily accessible because it is crossed by the east Sumatra road. This paper aims to examine one of the constituent variables of IKK, namely the price of split rock in East Lampung Regency. Some regions with high prices of building materials in Indonesia are caused by high purchasing power so that the number of IKK is also high, such as in the Districts of Buleleng, Badung, Tabanan, Jembrana, and Denpasar City. The results showed that the price of split rock in East Lampung Regency could be increased based on purchasing power and availability of access in East Lampung Regency. If split rock is produced in East Lampung Regency, the split rock can easily be sent to other regions on the island of Sumatra. If split stones come from other districts, then a high price can be determined related to purchasing power in the high East Lampung Regency.
SP 2020, SDGs dan Visi Indonesia 2045: Menguatkan Pondasi Pembangunan Sumber Daya Manusia Unggul Muji Lestari
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 2 No 02 (2019): 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.v2i02.24

Abstract

Improving human resources, and mastering science and technology are one of the pillars of development to realize the Sustainable Development Goals (SDGs) and Indonesia's Vision 2045. The main prerequisite that must be met in developing human resources is the availability of data and information on the number, structure, composition population distribution and characteristics accurately, completely and up to date. The successful implementation of the 2020 Population Census (SP) is an important milestone in providing data and information towards one Indonesian population data. This paper aims to provide input and considerations so that the implementation of SP2020 goes well, smoothly and according to plan; and produce quality population data and information. The implementation of SP2020 needs to be seen as part of knowledge management on population to strengthen basic population data; develop knowledge about the number, composition and distribution between regions and between people; understand changes in population characteristics and behavior as a result of social, cultural, economic, political changes and advances in information technology; and encourage the formulation of accurate evidence-based and knowledge-based policies. The pentahelix model emphasizes that the synergy between BPS and stakeholders is very important starting from the preparation, dissemination, implementation of data collection, processing, and utilization of SP2020 data. In ensuring the successful implementation of SP2020, BPS must continue to strengthen performance management by developing effective communication and consultation between Central BPS, Provincial BPS and Regency/City BPS. On the other hand, BPS must also continue to build solid communication, cooperation and partnerships with ministries/agencies, provincial governments, district/city governments, village governments, universities and research institutions, business actors and the media.
Devaluasi Yuan, Hal yang Burukkah Bagi Ekspor Minyak Kelapa Sawit Indonesia ke China? Marini Syafitri
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 2 No 02 (2019): 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.v2i02.25

Abstract

Indonesia's palm oil exports to China tend to increase in the 2010-2018 period. However, there was a decrease of 24.20 percent in 2016. This study aims to determine the effect of the devaluation of the yuan on Indonesian palm oil exports to China, both in the short term and in the long term. This study uses the Error Correction Mecanism (ECM) model to determine the effect both in the short term and in the long term. The results of this study indicate that the devaluation of the yuan is not a bad thing for Indonesia's palm oil exports to China in the long term.
Mengisi Kekosongan Data Tingkat Pengangguran Terbuka Kabupaten/Kota Tahun 2016, Bisakah? Budi Hartono
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 2 No 02 (2019): 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.v2i02.26

Abstract

The Central Statistics Agency (BPS) is nationally responsible for the availability of data needed for sectoral and cross-sectoral development planning in Indonesia. The data used for development planning in the manpower sector is collected through the National Labor Force Survey (Sakernas). Since 2015, Sakernas has been designed using the Three Stage Sampling method (Census Block Panel) and is held every semester, namely in February and August. The Small Area Estimation (SAE) method is an alternative that can be used to estimate parameters in an area with sufficient precision when the sample size in that area is too small. The SAE method using the Zero Inflated Binomial model can be used to estimate the Open Unemployment Rate (TPT) at the district/city level in the period August 2016 in Jambi Province. The results of the Jambi Province TPT estimation using the SAE ZIB method are the same as those published by BPS, namely there are 4 (four) unemployed people out of 100 people in the workforce. The SAE ZIB method can produce an estimate of TPT for August 2016 at the district/city level in Jambi Province which was not previously produced by BPS due to insufficient samples.
Masyarakat Yang Tinggal di Lumbung Energi Sudah Sejahtera (?) Risma Hapsari
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 2 No 02 (2019): 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.v2i02.27

Abstract

The Tanjung Jabung region is the largest producer of petroleum and natural gas in Jambi. However, this region is still undeveloped when viewed from several regional social indicators such as HDI, the percentage of poverty, and education. In this study the authors explored the condition of the Tanjung Jabung as an energy barn area and compared it to other regions in Jambi Province. This study uses descriptive analysis and comparative analysis. The results of the study show that the high economic growth of the Tanjung Jabung originates mainly from oil and gas. Having abundant natural resources from the mining sector, the percentage of poor people is the biggest. In addition, petroleum and natural gas mining is not able to absorb local labor. Regional expenditures, some of which come from profit-sharing funds from petroleum and natural gas producing regions for social purposes, are deemed unable to alleviate problems in the community. A transparency is needed in the management of revenue sharing funds and an increase in the number of educated workers through quality education.
Analisis Upah Reservasi di Provinsi Kepulauan Bangka Belitung Tahun 2017 Fadhila Ajeng Damaris; Royhan Faradis; Uswatun Nurul Afifah
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 2 No 02 (2019): 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.v2i02.28

Abstract

Wages are an important component in the balance of the labor market. The reservation wage is used to find out the behavior of the workforce in looking for work. The reservation wage implies that a person will not work if the wage offer on the market is lower than the wage he has. The reservation wage explains the high unemployment rate in the highly educated workforce. With the estimation of reservation wages, it is hoped that the government can produce policies so that the unemployment rate can be reduced to its natural level. This study estimates the value of reservation wages for the entire workforce in Bangka Belitung Islands Province in 2017 using the Heckman’s Maximum Likelihood Estimation (MLE) method. The results show that the maximum reservation wage is owned by a highly educated workforce, is male, is married, and lives in urban areas while the minimum reservation wage value is owned by a labor force that is not / has not yet graduated from school, is female, is not married and live in the countryside.
Determinan Kemiskinan di Provinsi Papua: Analisis Spatial Error Model Adi Permana
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 2 No 02 (2019): 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.v2i02.29

Abstract

Poverty is a multidimensional problem that requires deep attention to overcome it. This study analyzes the variables that affect poverty by considering the geographical location of regency / cities in Papua Province using Geoda software. Spatial regression analysis was used because there were indications that poverty data in Papua Province had spatial variations. Regression results using spatial error models show that there is an influence of "neighbors" on poverty conditions in Papua. Variables that affect the percentage of poor people include the number of electricity customers, economic growth, the percentage of households that have their own homes, and the human development index (HDI).
Metode Vector Autoregressive (VAR) pada Peramalan Jumlah Kedatangan Wisatawan Mancanegara di Bali dan Jakarta Septie Wulandari
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 3 No 01 (2020): 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.v3i01.31

Abstract

Forecasting methods that are often used are time series analysis, the Autoregressive (AR) method. The Vector Autoregressive (VAR) model is a combination of several Autoregressive (AR) models, in which the model forms a vector whose variables influance each other. In this study, the Vector Autoregressive (VAR) model is used on the number of international visitor arrivals per month at Ngurah Rai Airport, Bali and Soekarno Hatta Airport, Jakarta for the period Januari 2014 – December 2019. VAR model formation through several stages, namely stationarity test, autoregressive order determination, VAR model formation, and diagnostic checking of the model. With the Vector Autoregressive (VAR) model, VAR(1), the two significant simultaneously equation results are obtained. The Mean Absolute Percentage Error (MAPE) in this model are as follows 5.96% in predicting the number of international visitor arrivalsin Bali and 15.1% in predicting the number of international visitor arrivalsin Jakarta. In this study also forecasting the number of international visitor arrivals in Bali and Jakarta in January – December 2020.
Perbandingan Model STAR dan GSTAR untuk Peramalan Indeks Harga Konsumen di Kota Padang, Pekanbaru, Jambi, dan Palembang Muhammad Zulky Al Amri
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 3 No 01 (2020): 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.v3i01.32

Abstract

The existence of spatial dependency between regions in meeting food and non-food needs causes the consumer price index (CPI) to be interrelated between one region and others. This research aims to compare the performance of space time autoregressive (STAR) and generalized space time autoregressive (GSTAR) in predicting CPI in the cities of Padang, Pekanbaru, Jambi and Palembang. Moran’s Index testing shows the effect of spatial dependence on the CPI series between the regions of Padang, Pekanbaru, Jambi and Palembang during the period January 2015 – April 2020. The average CPI of Palembang is the smallest and the slowest increase between months compared to the other three cities. The highest average CPI in Padang city. The average CPI in Pekanbaru city is the fastest increase between months. The result of model identification shows that the estimator of the GSTAR(1;1)-I(1) model using a uniform weighting is the best and suitable in estimating CPI of the four cities. The smallest RMSE value indicates CPI forecasting in Padang, Pekanbaru and Palembang is better to use the GSTAR(1;1)-I(1) model with the uniform weighting location. Meanwhile, the Jambi City CPI forecasting is better to use the STAR(1;1)-I(1) model with the uniform weighting location.
Mozaik Pembangunan Manusia Jambi: Telaah Keterkaitan Pertumbuhan Ekonomi, Gini Rasio Dan TPAK Dengan IPM Vina Riyanti
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 3 No 01 (2020): 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.v3i01.33

Abstract

For 10 years Jambi human development index increased , the growth rate above hdi 0,5 percent every year, whether it be the Jambi economic progress indicator or just a figure without meaning. This research is trying to persuade the links between some macro indicators with the human development index in Jambi achievement. Human development index in Jambi Province increase is influenced by other variables such as the economy growth, gini ratio and labor force participation rate or just an additional number that is not affected other social and economic factors. The research uses quantitative analysis method of multiple linear regression. The data collected represents data economic growth , human development index , gini ratio and labor force participation rate belonging to the central bureau of statistics Jambi Province. The results of multiple linear regression indicate that economic growth, gini ratio and labour force participation rate have an influence on the human development index value in Jambi Province. While partially, only significant economic growth.

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