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All Journal Jurnal Ekonomi dan Pendidikan Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Ekonomika ECOPLAN : JOURNAL OF ECONOMICS AND DEVELOPMENT STUDIES PUBLIKASI PENELITIAN TERAPAN DAN KEBIJAKAN Inferensi Jurnal Litbang Provinsi Jawa Tengah Bina Ekonomi: Majalah Ilmiah Fakultas Ekonomi Universitas Katolik Parahyangan
Tanur, Erwin
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Mathematics Public Health Social Sciences

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ANALISIS PENGARUH SEKTOR INDUSTRI PENGOLAHAN TERHADAP LAJU PERTUMBUHAN EKONOMI PROVINSI KALIMANTAN UTARA TAHUN 2020-2021 Satriyani, Yuni; Tanur, Erwin
JURNAL EKONOMIKA Volume 14, Nomor 02, Juni 2023
Publisher : Universitas Borneo Tarakan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35334/jek.v14i02.3330

Abstract

Industri Pengolahan adalah  Suatu kegiatan ekonomi yang melakukan kegiatan mengubah barang dasar (bahan mentah) menjadi barang jadi/setengah jadi dan atau dari barang yang kurang nilainya menjadi barang yang lebih tinggi nilainya, baik secara mekanis, kimiawi dengan mesin ataupun dengan tangan. Pertumbuhan produksi sektor Industri Pengolahan sangat mempengaruhi Pertumbuhan Ekonomi. Tujuan penelitian ini adalah untuk menganalisis seberapa besar pengaruh dan hubungan sektor Industri Pengolahan terhadap laju pertumbuhan Produk Domestik Regional Bruto (PDRB) Provinsi Kalimantan Utara. Data yang diambil adalah data laju pertumbuhan PDRB atas dasar harga konstan 2020 - 2021 menurut lapangan usaha yang diperoleh dari BPS Provinsi Kalimantan Utara. Metode analisis yang digunakan adalah analisis regresi linear. Hasil penelitian adalah sektor Industri Pengolahan secara signifikan mempengaruhi PDRB Provinsi Kalimantan Utara, Hasil Uji F dan uji t yang menunjukan p-value 0,05  Kata kunci : PDRB; Industri Pengolahan
Clustering Area to Reduce Stunting Rates in Central Java Susanti, Desilia Wimbi; Tanur, Erwin; Sitanggang, Yuliana Ria Uli
JURNAL LITBANG PROVINSI JAWA TENGAH Vol 21 No 2 (2023): Jurnal Litbang Provinsi Jawa Tengah
Publisher : Badan Riset dan Inovasi Daerah Provinsi Jawa Tengah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36762/jurnaljateng.v21i2.1125

Abstract

Accelerating the reduction of the stunting rate is the government's focus until the end of 2024. Efforts to reduce the stunting rate need to pay attention to the variable factors that cause stunting under five children and the characteristics of the region so that optimal results can be obtained. This study aims to grouping regencies based on the causes of stunting in toddlers in Central Java Province. This research expected make a contribution to the Central Java Government in determining policies related to reducing stunting rates that are more appropriate by taking into account regional characteristics. The research design uses descriptive analysis and cluster analysis. The grouping of regencies in Central Java Province using cluster analysis resulted in three clusters, namely clusters with low, medium, and high stunting factors. Regencies in the first cluster need increased access to proper sanitation, JKN ownership, and increased welfare. The second cluster needs to focus on increasing JKN ownership, while the third cluster needs to focus on increasing the coverage of exclusive breastfeeding and early breastfeeding.
Determining Sister City Regency/City Non-Sample Cost of Living Survey (SBH) and Clustering Analysis of Consumption Patterns in West Java using the Machine Learning Method Novidianto, Raditya; Tanur, Erwin; Dani, Andrea Tri Rian; Putra, Fachrian Bimantoro
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 12, No 1 (2024): Jurnal Statistika Universitass Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.12.1.2024.%p

Abstract

Inflation is a significant data source in policy making. However, not all Regency/cities have inflation figures. As a result, Regency/cities must borrow inflation figures from dietary characteristics, GDP per capita, population, and distance between Regency and cities; this is called a sister city. With the help of machine learning, the similarity level method using distance measures, namely Euclidean distance, CID distance, and ACF distance, can help Regency/cities find sister cities. Furthermore, grouping was carried out using a biclustering algorithm to see the characteristic variables in West Java from the same consumption pattern data. The biclustering parameter with tuning parameter ????=0.1 is the best bicluster with a total of 3 biclusters with a value of MSR/V=0.02433 with identical characteristic variables, namely Average Fish Consumption (X3), Average Meat Consumption (X4), Average Consumption of Eggs and Milk (X5), Average Consumption of Vegetables (X6), Average Consumption of Fruit (X8), Average Consumption of Oil and Coconut (X9), Average Consumption of Housing and Household Facilities (X15), Average Consumption of Various Goods and Services and Average Consumption of Taxes (X16), Levies and Insurance (X19).
Perubahan Pengeluaran Konsumsi Masyarakat Kabupaten Barito Kuala Selama Masa Pandemi Covid-19 dengan Growth Incidence Curve Igarta, Kisfendie Regga Rahmad; Tanur, Erwin
Ecoplan Vol 6 No 2 (2023)
Publisher : Jurusan Ilmu Ekonomi dan Studi Pembangunan Fakultas Ekonomi dan Bisnis Universitas Lambung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ecoplan.v6i2.675

Abstract

The COVID-19 pandemic that hit the world in early 2020 caused economic shock in Barito Kuala Regency. According to Statistics Indonesia of Barito Kuala Regency, the economy of Barito Kuala Regency in 2020 turned minus by 1.06 percent. This economic shock had an impact on consumption expenditure in all segments of households, including the poor. This study aims to determine changes in consumption expenditure in all percentiles of per capita expenditure in Indonesia. It used the Socio-Economic National Survey held by Statistics Indonesia. The Growth Incidence Curve (GIC) was employed, including in urban and rural areas, during and after the pandemic. In this research, the period of 2020-2021 was used to describe “during the pandemic”. The results indicated that, at this time, the consumption expenditure of the poor could be maintained with various social safety programs. Even for the urban areas, consumption expenditure increased across all percentiles. Meanwhile, 2021-2022 was used to describe “after the pandemic”. Interestingly, the consumption expenditure, during this period, was actually still under pressure. One of the possible reasons might be regarding the existence of social safety programs. When the pandemic began decreasing, the safety program was no longer provided massively like during the pandemic.
Kategori Unggulan di Provinsi Sumatera Selatan Pasca Covid-19 dan Pengelompokan Kabupaten Kota Menggunakan K-Means Clustering Lismiana, Lismiana; Tanur, Erwin; Uli Sitanggang, Yuliana Ria
Publikasi Penelitian Terapan dan Kebijakan Vol 6 No 2 (2023): Publikasi Penelitian Terapan dan Kebijakan
Publisher : Badan Penelitian dan Pengembangan Daerah Provinsi Sumatera Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46774/pptk.v6i2.548

Abstract

Determining the leading sector is very important as a basis for policy making to improve the economy of a region. This research aims to identify leading sectors before and after the Covid-19 pandemic in South Sumatra using the Location Quotient (LQ), Dynamic Location Quotient (DLQ), Klassen Typology Analysis and Shift Share methods. This research groups districts/cities based on their GRDP contribution using K-Means Clustering. This research shows that the leading sectors before the pandemic were Mining; Water Supply, and Real Estate. During the pandemic, the contribution of agriculture actually increased from the previous year. So after the Covid-19 pandemic occurred, the Agriculture, Mining and Real Estate categories became the leading sectors. Grouping districts/cities produces three clusters. The cluster that has the lowest GRDP contribution is in cluster 1 with 14 members from 17 districts/cities in South Sumatra, the cluster that has the very highest GRDP contribution is in cluster 2 with 1 district/city and the rest with high GRDP contributions are in cluster 3 as many as 2 districts/cities. The agricultural category is the basic and prospective category for 64 percent of members in cluster 1. The government should prioritize increasing leading sectors, especially agriculture, to boost the economy in South Sumatra Province.
DAPATKAH TEKNOLOGI INFORMASI MEMENGARUHI KINERJA PEREKONOMIAN? (SEBUAH KAJIAN SPILLOVER DI PULAU SUMATERA) willyana, aan budhi; Tanur, Erwin
Bina Ekonomi Vol. 28 No. 1 (2024): Bina Ekonomi: Majalah Ilmiah Fakultas Ekonomi Universitas Katolik Parahyangan
Publisher : Center for Economic Studies Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/be.v28i1.6056.1-20

Abstract

Mastery of information technology and improvement of human quality is one of the efforts to increase economic output in a region. This study aims to see the effect of information technology on the performance of economic's achievement in Sumatera with the quality of population as a variable control, as well as the possibility of spatial effects between regions in it. The analysis uses panel data covering 154 districts/cities in Sumatera from 2011-2021. Scatterplot analysis and correlation matrix show a positive and strong correlation between the variables of information technology and HDI on economic performance. The results of the Global Moran and Local Moran tests also show a significant spatial effect in terms of the use of information technology and the GRDP per capita of districts/cities in Sumatera. In addition, hot-spots (high-high clusters), cold-spots (low-low clusters), and spatial outliers are formed and show a persistent pattern in 2011 and 2021. The spatial and nonspatial economic performance modeling also shows that computer use is a vital factor affecting regional performance in Sumatera. The spills-over effect that causes positive spatial interactions also indicates that economic progress in an area will affect economic progress in adjacent areas.  
PENGARUH WILAYAH URBAN TERHADAP TINGKAT PENGANGGURAN TERBUKA DI PROVINSI SUMATERA UTARA Cahya, Arifah Astining; Tanur, Erwin
Jurnal Ekonomi dan Pendidikan Vol. 19 No. 2 (2022)
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jep.v19i2.54066

Abstract

Penelitian ini bertujuan untuk melihat pengaruh wilayah urban terhadap tingkat pengangguran terbuka kabupaten/kota di Provinsi Sumatera Utara. Variabel wilayah urban yang digunakan dalam penelitian ini dibatasi pada persentase penduduk wilayah urban, rata-rata lama sekolah (RLS), jumlah pusat perdagangan, dan jumlah sarana akomodasi. Analisis yang digunakan dalam penelitian ini adalah analisis deskriptif dan analisis regresi linier berganda. Berdasarkan hasil penelitian, dapat disimpulkan bahwa variabel persentase penduduk di wilayah urban, rata-rata lama sekolah (RLS), pusat perdagangan, dan sarana akomodasi secara simultan berpengaruh nyata terhadap tingkat pengangguran terbuka. Secara parsial, variabel persentase penduduk urban, pusat perdagangan, dan sarana akomodasi berpengaruh secara signifikan terhadap pengangguran terbuka kabupaten/kota di Provinsi Sumatera Utara.
Small Area Estimation of Child Poverty on Java Island In 2021 (Comparison of EBLUP and Hierarchical Bayes) Istiana, Nofita; Tanur, Erwin; Ubaidillah, Azka; Sitanggang, Yuliana Ria Uli; Nainggolan, Rosalinda
Inferensi Vol 8, No 3 (2025)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v8i3.23311

Abstract

Information about child poverty is very important to ensure that children get their rights. Indonesia's decentralized system requires child poverty data in each district/city. Data provision at this level is constrained by a non-specific sample design used for certain age groups, so the sample age group for children is not always sufficient for each district/city. Therefore, direct estimation produces a high relative standard error (RSE), so it requires small area estimation (SAE). SAE that is often used is EBLUP, which assumes that the variable of interest is normally distributed. Child poverty data does not meet the normality assumption, so SAE with Hierarchical Bayes with Beta distribution (HB Beta) is proposed in this study. The result is direct estimation, EBLUP, and HB Beta produce relatively similar estimated values, but HB Beta has the lowest RSE.
Co-Authors Cahya, Arifah Astining Dani, Andrea Tri Rian Igarta, Kisfendie Regga Rahmad Istiana, Nofita Lismiana, Lismiana Nainggolan, Rosalinda Novidianto, Raditya Putra, Fachrian Bimantoro Satriyani, Yuni Sitanggang, Yuliana Ria Uli Susanti, Desilia Wimbi Ubaidillah, Azka Uli Sitanggang, Yuliana Ria willyana, aan budhi