Berdikari : Jurnal Ekonomi dan Statistik Indonesia
Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI) has aimed to present the progress and results of complex analyses in the economic, environmental, and social spheres. Our mission is to promote the official statistics as a tool supporting the decision making at the level of international organisations, central and local government authorities, as well as businesses. We contribute to the world debate and efforts in strengthening the bridge between theory and practice of the official statistics. We covered all scopes related to fields of economics, including (but not limited to) finances, fiscal, environment and natural resource, industrial organization, regional and urban economics, and international and trade, Business statistics, economic statistics, macroeconomics and microeconomics, and Financial Market Microstructure.
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156 Documents
<![CDATA[Pengaruh Analisis Kebangkrutan Model Altman Z-score Terhadap Harga Saham Pada Perusahaan Manufaktur di Bursa Efek Indonesia Sebelum dan Saat Pandemi Covid -19 ]]>
<![CDATA[Ade Suryana]]>;
<![CDATA[Ayu Dila Anggraeny]]>
<![CDATA[ Jurnal Ekonomi Dan Statistik Indonesia Vol 2 No 3 (2022): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI) ]]>
Publisher : <![CDATA[Future Science ]]>
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DOI: 10.11594/jesi.02.03.09
<![CDATA[Penelitian ini bertujuan untuk mengetahui pengaruh pengaruh Altman Z-Score terhadap harga saham, pengaruh rasio-rasio pada Altman Z-score terhadap harga saham sebelum dan saat pandemi covid-19, dan mengetahui perbedaan rasio-rasio pada Altman Z- score sebelum dan saat pandemic covid-19 pada perusahaan manufaktur yang terdaftar dalam Bursa Efek Indonesia (BEI) periode 2019-2020. Jenis penelitian ini menggunakan pendekatan kuantitatif dengan metode Purposive Sampling. Terdapat 14 Sampel Perusahaan yang sesuai dengan kriteria yang ditentukan. Hasil penelitian ini menunjukkan bahwa pada regresi linier sederhana nilai Altman Z-score tidak berpengaruh terhadap harga saham sebelum pandemi covid-19 dan saat pandemi covid -19.]]>
<![CDATA[Identifikasi Data Outlier (Pencilan) dan Kenormalan Data Pada Data Univariat serta Alternatif Penyelesaiannya ]]>
<![CDATA[Pardomuan Robinson Sihombing]]>;
<![CDATA[Suryadiningrat Suryadiningrat]]>;
<![CDATA[Deden Achmad Sunarjo]]>;
<![CDATA[Yoshep Paulus Apri Caraka Yuda]]>
<![CDATA[ Jurnal Ekonomi Dan Statistik Indonesia Vol 2 No 3 (2022): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI) ]]>
Publisher : <![CDATA[Future Science ]]>
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DOI: 10.11594/jesi.02.03.07
<![CDATA[Penelitian ini bertujuan mengindentifikasi outlier (pencilan) dan kenormalan data pada univariat data. Adapun data yang digunakan berupa data persentase kemiskinan di Indonesia tahun 2022 yang berasal dari Badan Pusat Statistik. Metode pengujian outlier dilakukan dengan menggunakan grafik box plot, histrogram dan uji Grubbs. Sedangkan pengujian kenormalan data menggunkan uji SK Test dan Shapiro Wilk. Hasil penelitian menunjukkan terdapat data outlier yaitu pada observasi Provinsi Papua, dan data tidak berdistribusi normal. Selanjutnya dilakukan berbagai alternatif dalam menangani data outlier. Hasil menunjukkan menggunakan teknik tranformasi box cox, winsorizing dan trimming data, dapat menyelesaikan masalah outlier data. Metode box cox dan trimming sekaligus mampu mengatasi masalah kenormalan data, sedangkan metode winsorizing belum dapat mengatasi masalah kenormalan data.]]>
<![CDATA[Analisis Keterkaitan Antar Sektor dan Antar Provinsi dalam Perekonomian Kalimantan Tengah Tahun 2016 (Analisis IO dan IRIO) ]]>
<![CDATA[Suryani Suryani]]>
<![CDATA[ Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 1 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI) ]]>
Publisher : <![CDATA[Future Science ]]>
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DOI: 10.11594/jesi.03.01.01
<![CDATA[Regional development does not only rely on the contribution of the economic sector in the region to the economy, but also the interaction of a sector with other sectors as well as inter-regional. The demand for goods and services outside the region has led to efforts to increase production so it encourage economic growth. In other words, economic development in one region is expected to trigger economic development in other regions. The purpose of this study is to determine the leading business sectors, the interrelationships between the business sectors, and the economic linkages of Central Kalimantan with other regions in Indonesia. Using the Input-Output Table (I-O) of Central Kalimantan in 2016, this study succeeded in identifying the leading business sectors in Central Kalimantan and the interrelationships between business sectors in Central Kalimantan. In addition, this study also uses the Inter-Regional Input-Output Table (IRIO) to determine economic linkages between Central Kalimantan and several provinces in Indonesia. The results showed that Iron Ore Mining is a leading sector and one of the leading business sectors in Central Kalimantan. In addition, in terms of regional linkages, it was found that changes in final demand in Central Kalimantan will have a major impact on output in DKI Jakarta, East Kalimantan, and South Kalimantan.]]>
<![CDATA[Determinan Produk Domestik Bruto di Provinsi Bali Tahun 2014-2019 ]]>
<![CDATA[Desak Ari Gita Wahyuni]]>;
<![CDATA[Masruri Muchtar]]>;
<![CDATA[Pardomuan Robinson Sihombing]]>
<![CDATA[ Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 1 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI) ]]>
Publisher : <![CDATA[Future Science ]]>
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DOI: 10.11594/jesi.03.01.02
<![CDATA[This study aims to analyze the components of the Human Development Index on Gross Regional Domestic Product (GRDP) in Bali during the 2014-2019 period. The data used are time series and cross section obtained and processed from the Central Bureau of Statistics. Through a quantitative descriptive approach, this study uses multiple linear regression methods on panel data with the selected estimation model being the Fixed Effect Model. The results showed that the dependent variable of GRDP could be explained by independent variables by 92.03 percent and 7.97 percent of it was influenced by other variables outside this research model. Mean Years School and Life Expectancy variable have a positive effect on GRDP while the Labor Force Participation Rate variable has a negative and insignificant effect on GRDP. Government policies are needed to support equitable distribution of human development in each region]]>
<![CDATA[Pengaruh Pengangguran, Kemiskinan, Indeks Pembangunan Manusia, dan Populasi Terhadap Pertumbuhan Ekonomi di Provinsi Kalimantan Tengah ]]>
<![CDATA[Dhinnessa Prabowo]]>;
<![CDATA[Masruri Muchtar]]>;
<![CDATA[Pardomuan Robinson Sihombing]]>
<![CDATA[ Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 1 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI) ]]>
Publisher : <![CDATA[Future Science ]]>
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DOI: 10.11594/jesi.03.01.03
<![CDATA[The success or downturn of a country's economy can also be measured by its economic growth rate. This study aims to analyze the influence of unemployment rate, poverty, human development index, and population on economic growth, especially in 14 districts/cities of Central province. Kalimantan for the period 2017-2019. The technique used is a regression analysis of panel data with the best model being the fixed effects model (FEM). The test results show that all variables simultaneously affect economic growth. Partially, unemployment and HDI have negative and insignificant effects on economic growth. Second, poverty has a negative and significant impact while the population has a positive and significant impact on economic growth. Based on the findings of this study, it is recommended from the findings of this study that policies are needed to reduce poverty while increasing population so that economic growth can continue to increase.]]>
<![CDATA[Apakah Program Keluarga Harapan Mampu Mengurangi Pekerja Anak di Masa Pandemi COVID-19? ]]>
<![CDATA[Mohammad Maulana Ibrahim]]>;
<![CDATA[I Dewa Gede Karma Wisana]]>
<![CDATA[ Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 1 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI) ]]>
Publisher : <![CDATA[Future Science ]]>
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DOI: 10.11594/jesi.03.01.04
<![CDATA[The COVID-19 pandemic can be an economic shock for low-income households. Several studies have shown that child labor is a strategy used by households to cope with economic shocks. This shock will exacerbate the phenomenon of child labor. Social protection is a form of mitigating the impact of the COVID-19 pandemic which is considered able to reduce the number of child labor. Program Keluarga Harapan (PKH) is one of the social protection programs in Indonesia. This study investigates the impact of Program Keluarga Harapan (PKH) on the phenomenon of child labor during the COVID-19 pandemic. To overcome the problem of self-selection, this study applies the variable of interest as an endogenous variable. By using the recursive bivariate probit method, this study concludes that PKH has no impact on reducing the likelihood of a child becoming child labor during the COVID-19 pandemic. To enrich the research, we also investigated the influence of PKH on the phenomenon of child labor in the period before the COVID-19 pandemic and found that PKH had an impact on reducing the likelihood of a child becoming child labor in the period before the COVID-19 pandemic. Several factors that influence the phenomenon of child labor, such as the characteristics of children, the characteristics of the head of the household, household characteristics, and environmental characteristics, have been shown to influence a child's tendency to become child labor, both in both periods (before the pandemic or during the COVID-19 pandemic) and in only one period.]]>
<![CDATA[Employment Formalization in Indonesia: Role of Parents’ Employment Mobility Toward Children’s Employment Mobility ]]>
<![CDATA[Kadir Ruslan]]>;
<![CDATA[Weni Lidya Sukma]]>
<![CDATA[ Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 1 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI) ]]>
Publisher : <![CDATA[Future Science ]]>
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DOI: 10.11594/jesi.03.01.05
<![CDATA[This study aims to analyze the impact of parents’ employment status mobility on the children’s employment status mobility. In doing so, we applied a two-stage multinomial logistic regression model. In this research, employment status mobility refers to a mobility status from informal to formal jobs and vice versa. Using data from the Indonesian Family Life Survey (IFLS) for the period 2007 and 2014, the profile of the Indonesian workforce was dominated by stayers. The estimation results of multinomial logistic regression indicate that only fathers’ employment status mobility has a significant effect on the children’s employment status mobility, where fathers who are stayers and experiencing upward mobility will provide greater opportunities for their children to be stayers and fewer opportunities to experience downward mobility. Moreover, the employment status mobility of mothers does not have a significant impact on their children’s employment mobility. Our study points out the pivotal role of fathers in influencing employment formalization in Indonesia. Our findings could be valuable inputs for policy-making regarding employment formalization in Indonesia.]]>
<![CDATA[Prediksi Penjualan Emas di PT. Pegadaian Area Jambi Menggunakan Fuzzy Time Series Cheng ]]>
<![CDATA[Maria Risnawati]]>;
<![CDATA[Wardi Syafmen]]>;
<![CDATA[Bunga Mardhotillahs]]>
<![CDATA[ Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 1 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI) ]]>
Publisher : <![CDATA[Future Science ]]>
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DOI: 10.11594/jesi.03.01.06
<![CDATA[Setiap bulan berat emas yang terjual di PT. Pegadaian Area Jambi tidak bisa dipastikan. Data hasil penjualan emas setiap bulannya tidak stabil yang mengalami kenaikan dan penurunan penjualan. Hal tersebut menyebabkan data penjualan emas bersifat fluktuasi. Penelitian ini dilakukan untuk meramalkan jumlah penjualan emas pada bulan mendatang. Fuzzy Time Series (FTS) Cheng merupakan metode peramalan untuk memprediksi data time series yang pola datanya tidak tetap atau berubah-ubah mengalami penurunan dan kenaikan di setiap periode. Sistem yang digunakan untuk memprediksi data dengan menangkap pola dari data sebelumnya atau data historis disebut sistem Fuzzy Times Series. Dalam penentuan interval, metode Cheng memiliki cara yang agak berbeda dengan membentuk Fuzzy Logical Relationship (FLR) berdasarkan pada urutan dan perulangan FLR yang sama dimasukan semua hubungan dengan pemberian bobot. Penelitian ini menggunakan data Time Series. Data Time Series adalah data yang disusun berdasarkan urutan waktu atau data yang dikumpulkan dari waktu ke waktu atau disebut historis. Waktu yang digunakan pada data penelitian ini yaitu bulanan. Data yang digunakan adalah data penjualan emas di PT. Pegadaian Area Jambi dari bulan Januari 2020 hingga Oktober 2022. Penelitian ini memberikan hasil peramalan terhadap data historis menghasilkan nilai error Mean Absolute Percentage Error (MAPE) <10% dan menghasilkan nilai error Mean Absolute Deviation (MAD) sebesar 368 gram. Sehingga peramalan untuk bulan November 2022 diprediksi sebesar 4.521 gram. Sehingga metode Fuzzy Time Series Cheng sangat baik diguakan untuk meramalkan rata-rata penjualan emas di PT. Pegadaian Area Jambi.]]>
<![CDATA[Comparison of Regression Analysis with Machine Learning Supervised Predictive Model Techniques ]]>
<![CDATA[Pardomuan Robinson Sihombing]]>;
<![CDATA[Sigit Budiantono]]>;
<![CDATA[Ade Marsinta Arsani]]>;
<![CDATA[Triana Mauliasih Aritonang]]>;
<![CDATA[Mohamad Arif Kurniawan]]>
<![CDATA[ Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 2 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI) ]]>
Publisher : <![CDATA[Future Science ]]>
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DOI: 10.11594/jesi.03.02.03
<![CDATA[The happiness index is a parameter used to measure the level of happiness and well-being of people in a particular country or region. This research aims to determine the factors that contribute to people's happiness. In terms of modelling, this study will compare several regressions modelling using machine learning, including regression trees, random forests and Support Vector Regression (SVR). The SVR model has a minor error value in terms of MSE, RMSE and MAE compared to the other three models. The same thing happened when viewed from the value of R2 that the SVR model has an enormous value. This result indicates that SVR modelling is the best of the four models. A comprehensive policy is needed to increase a country's happiness index.]]>
<![CDATA[Pengaruh Ketidakpastian Pendapatan Terhadap Status Kepemilikan Rumah di Indonesia ]]>
<![CDATA[Citra Baskoro]]>;
<![CDATA[Sartika Djamaluddin]]>
<![CDATA[ Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 2 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI) ]]>
Publisher : <![CDATA[Future Science ]]>
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DOI: 10.11594/jesi.03.02.01
<![CDATA[Persentase kepemilikan rumah pada rumah tangga di Indonesia menujukan trend yang semakin menurun dari tahun ke tahun. Keterbatasan penyediaan rumah dan tingginya harga rumah membuat sebagian besar rumah tangga menempuh skema kredit untuk dapat memiliki rumah. Penelitian ini bertujuan untuk menyelidiki bagaimana hubungan antara ketidakpastian pendapatan (income uncertainty), kendala pembiayaan (credit constraint) dan preferensi risiko (risk preference) rumah tangga terhadap status kepemilikan rumah di Indonesia. Studi ini menggunakan data IFLS Tahun 2007 dan 2014. Estimasi menggunakan variabel dengan metode probit dengan data panel dan probit OLS (ordinaryleast square) pada tahun 2014 dilakukan untuk mengetahui hubungan kausalitas antara ketidakpastian pendapatan (income uncertainty), kendala pembiayaan (credit constraint) dan preferensi risiko (risk preference) dengan status kepemilikan rumah di Indonesia. Hasil penelitian menunjukkan bahwa Indoensia sebagai negara berkembang menunjukan pengaruh negatif dari ketidakpastian pendapatan (income uncertainty) terhadap status kepemilikan rumah di Indonesia lebih besar bila dibandingkan dengan negara maju lainnya. Sedangkan kendala kredit memiliki pengaruh negatif terhadap status kepemilikan rumah di Indonesia, terutama kendala yang bersumber dari keterbatasan kekayaan yang digunakan sebagai jaminan pinjaman.]]>
