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The Spatial Concentration of Manufacturing Industry Workforce: Is There a Change? Erni Febrina Harahap
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 1 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.64 KB) | DOI: 10.22216/jit.v15i1.32

Abstract

The purpose of this paper is to describe the spatial concentration of manufacturing industry and examines the factors that influence it. The method of analysis using entropy theil index and pooling of data with the object of manufacturing industry employment as a means of measuring the concentration of spatial and time series data during the study period, namely from 2008 to 2016 and the cross section with 9 industry sectors according to the two-digit industrial classification ISIC Revision 3 in 30 provinces of Indonesia. The data was collected using secondary data from the Central Statistics Agency (BPS), Data and Information Center (Pusdatin), and the Agency for Industrial Research and Development (BPPI) Ministry of Industry and related literature. Spatial gaps between islands manufacturing industry clearly visible where the Theil entropy index value in Java is very high which means the manufacturing industry is concentrated on the island, while on other islands are very low. While the calculation of theil index for spatial gaps in the island shows that the island of Sumatra occurred in a larger gap than the other islands. This happens due to the island of Sumatra, manufacturing industry workers accumulate only in some provinces, that is most dominant in the provinces of North Sumatra and South Sumatra and Lampung. While the level of the lowest spatial concentration is the islands of Bali and Nusa Tenggara, which means the manufacturing industry employment relative spread (dispersion). Regression results show that the model of spatial concentration was significantly affected by variables that are used, except for human capital variables. And this model is rejected in part the hypothesis of neoclassical theory (NCT), but supports the new trade theory (NTT) and the new economic geography (NEG). Keywords: Theil Entropy index, pooling data, spatial concentration, neoclassical theory, new trade theory
Pengaruh perceived value, kualitas pelayanan dan kepuasan konsumen terhadap minat beli ulang pada Distro Agung Sungai Penuh Zefri Efdison; Yelnim Yelnim; Dorris Yadewani; Erni Febrina Harahap; Medi.yaya2017@gmail.com; Putra
Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Vol. 4 No. 8 (2022): Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan
Publisher : Departement Of Accounting, Indonesian Cooperative Institute, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (232.031 KB) | DOI: 10.32670/fairvalue.v4i8.1464

Abstract

The purpose of this study was to determine the effect of perceived value, service qualityand consumer satisfaction on repurchase interest at the Agung Sungai Penuh distribution.In this study due to the large and unknown population. The samples taken were consumerswho made purchases at the Great Distro of Sungai Penuh City during the research periodor the minimum limit of 80 was obtained from 20 x the number of variables in this study.The sampling method in this study is the accidental sampling method, namely the samplingis based on the fact that they happen to appear in the research object. The results showedthat Perceived Value had a significant effect on repurchase interest. service quality has asignificant effect on repurchase intention. consumer satisfaction has a significant effect onrepurchase intention. The magnitude of the influence of 81.8% between Perceived Value(X1), service quality (X2) and consumer satisfaction (X3) on repurchase interest at theGreat Distro of Sungai Penuh City, while 18.2% can be explained by other reasons outsidethe study. this.
The Spatial Concentration of Manufacturing Industry Workforce: Is There a Change? Erni Febrina Harahap
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 1 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.64 KB) | DOI: 10.22216/jit.v15i1.32

Abstract

The purpose of this paper is to describe the spatial concentration of manufacturing industry and examines the factors that influence it. The method of analysis using entropy theil index and pooling of data with the object of manufacturing industry employment as a means of measuring the concentration of spatial and time series data during the study period, namely from 2008 to 2016 and the cross section with 9 industry sectors according to the two-digit industrial classification ISIC Revision 3 in 30 provinces of Indonesia. The data was collected using secondary data from the Central Statistics Agency (BPS), Data and Information Center (Pusdatin), and the Agency for Industrial Research and Development (BPPI) Ministry of Industry and related literature. Spatial gaps between islands manufacturing industry clearly visible where the Theil entropy index value in Java is very high which means the manufacturing industry is concentrated on the island, while on other islands are very low. While the calculation of theil index for spatial gaps in the island shows that the island of Sumatra occurred in a larger gap than the other islands. This happens due to the island of Sumatra, manufacturing industry workers accumulate only in some provinces, that is most dominant in the provinces of North Sumatra and South Sumatra and Lampung. While the level of the lowest spatial concentration is the islands of Bali and Nusa Tenggara, which means the manufacturing industry employment relative spread (dispersion). Regression results show that the model of spatial concentration was significantly affected by variables that are used, except for human capital variables. And this model is rejected in part the hypothesis of neoclassical theory (NCT), but supports the new trade theory (NTT) and the new economic geography (NEG). Keywords: Theil Entropy index, pooling data, spatial concentration, neoclassical theory, new trade theory
PENGARUH HARGA DAN KUALITAS PRODUK PENGARUH TERHADAP KEPUTUSAN PEMBELIAN KONSUMEN DI KOPI NUR Zefri Efdison; Anggil Nopra Lova; Yelnim Yelnim; Dorris Yadewani; Erni Febrina Harahap
JISOS: JURNAL ILMU SOSIAL Vol. 1 No. 12: Januari 2023
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to determine the effect of price and product quality on consumer purchase decision of Nur Cofee. The sample from this study was 100 respondents. Data were collected with questionnaires that had been tested for validity and reliability. The data analysis techniques used are analysis, descriptive, multiple regression, coefficient of determination and hypothesis testing using the t test and the f test. The results showed that there was a significant influence between price on consumer purchase decision of citra alam inn. There is a significant influence between the product quality on consumer purchase decision of Nur Cofee. There is a significant influence between facilities, quality of service and experience on consumer purchase decision of citra alam lodging 2 simultaneously or together.
The Spatial Concentration of Manufacturing Industry Workforce: Is There a Change? Erni Febrina Harahap
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 1 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.64 KB) | DOI: 10.22216/jit.v15i1.32

Abstract

The purpose of this paper is to describe the spatial concentration of manufacturing industry and examines the factors that influence it. The method of analysis using entropy theil index and pooling of data with the object of manufacturing industry employment as a means of measuring the concentration of spatial and time series data during the study period, namely from 2008 to 2016 and the cross section with 9 industry sectors according to the two-digit industrial classification ISIC Revision 3 in 30 provinces of Indonesia. The data was collected using secondary data from the Central Statistics Agency (BPS), Data and Information Center (Pusdatin), and the Agency for Industrial Research and Development (BPPI) Ministry of Industry and related literature. Spatial gaps between islands manufacturing industry clearly visible where the Theil entropy index value in Java is very high which means the manufacturing industry is concentrated on the island, while on other islands are very low. While the calculation of theil index for spatial gaps in the island shows that the island of Sumatra occurred in a larger gap than the other islands. This happens due to the island of Sumatra, manufacturing industry workers accumulate only in some provinces, that is most dominant in the provinces of North Sumatra and South Sumatra and Lampung. While the level of the lowest spatial concentration is the islands of Bali and Nusa Tenggara, which means the manufacturing industry employment relative spread (dispersion). Regression results show that the model of spatial concentration was significantly affected by variables that are used, except for human capital variables. And this model is rejected in part the hypothesis of neoclassical theory (NCT), but supports the new trade theory (NTT) and the new economic geography (NEG). Keywords: Theil Entropy index, pooling data, spatial concentration, neoclassical theory, new trade theory
The Spatial Concentration of Manufacturing Industry Workforce: Is There a Change? Erni Febrina Harahap
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 1 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.64 KB) | DOI: 10.22216/jit.v15i1.32

Abstract

The purpose of this paper is to describe the spatial concentration of manufacturing industry and examines the factors that influence it. The method of analysis using entropy theil index and pooling of data with the object of manufacturing industry employment as a means of measuring the concentration of spatial and time series data during the study period, namely from 2008 to 2016 and the cross section with 9 industry sectors according to the two-digit industrial classification ISIC Revision 3 in 30 provinces of Indonesia. The data was collected using secondary data from the Central Statistics Agency (BPS), Data and Information Center (Pusdatin), and the Agency for Industrial Research and Development (BPPI) Ministry of Industry and related literature. Spatial gaps between islands manufacturing industry clearly visible where the Theil entropy index value in Java is very high which means the manufacturing industry is concentrated on the island, while on other islands are very low. While the calculation of theil index for spatial gaps in the island shows that the island of Sumatra occurred in a larger gap than the other islands. This happens due to the island of Sumatra, manufacturing industry workers accumulate only in some provinces, that is most dominant in the provinces of North Sumatra and South Sumatra and Lampung. While the level of the lowest spatial concentration is the islands of Bali and Nusa Tenggara, which means the manufacturing industry employment relative spread (dispersion). Regression results show that the model of spatial concentration was significantly affected by variables that are used, except for human capital variables. And this model is rejected in part the hypothesis of neoclassical theory (NCT), but supports the new trade theory (NTT) and the new economic geography (NEG). Keywords: Theil Entropy index, pooling data, spatial concentration, neoclassical theory, new trade theory
Digital bank transformation: A content analysis of SEABank Erni Febrina Harahap; I Gede Arya Pering Arimbawa; Ni Luh Ketut Ayu Sudha Sucandrawati; Tanti Widia Nurdiani; Samuel PD Anantadjaya
Jurnal Komunikasi Profesional Vol. 7 No. 3 (2023)
Publisher : Fakultas Ilmu Komunikasi Universitas dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/jkp.v7i3.6363

Abstract

SEABank is the new digital bank that gives offer with benefit to the customers and predicting their customers capacity well. Though conventional bank also have digital system, SEABank and conventional bank have few differences in features and financial cost. Through Krippendorf content analysis, the topic will be explored moderately and easy to read. The fact that the knowledge and capabilities gap between youngsters and elders make this topic functional for different perspective for SEABank and other digital bank users. The content analysis shows us that even in the middle of dynamic in digital bank and conventional bank, financial literacy will be affected.
Analisis Pengaruh Pertumbuhan Ekonomi Dan Indeks Pembangunan Manusia (IPM) Terhadap Kesempatan Kerja Di Provinsi Jambi Masrida Zasriati; Osi Hayuni Putri; Erni Febrina Harahap
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 10 No. 1 (2024): Februari 2024
Publisher : Sekretariat Pusat Lembaga Komunitas Informasi Teknologi Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v10i1.1868

Abstract

Penelitian ini bertujuan untuk mengetahui dan menganalisis apakah terdapat pengaruh antara variabel bebas : Pertumbuhan Ekonomi, IPM Terhadap variabel terikat adalah Kesempatan Kerja di Provinsi Jambi Tahun 2012-2021, dengan menggunakan jenis penelitian kualitatif dan kuantitatif serta data sekunder. Dari analisis dan pembahasan maka dapat disimpulkan sebagai berikut : 1.) Secara Parsial bahwa Pertumbuhan Ekonomi (X1)tidak berpengaruh secara signifikan terhadap kesempatan kerja (Y) di Provinsi Jambi tahun 2012-2021, Dengan ditunjukkan bahwa T hitung <T tabel sedangkan IPM (X2) secara parsial tidakberpengaruh signifikan terhadap kesempatan kerja (Y) tahun 2017-2021, dengan ditunjukkan bahwa -T hitung >-T tabel. 2.) Secara simultan bahwa Pertumbuhan Ekonomi (X1) dan IPM (X2) berpengaruh secara signifikan terhadap Kesempatan Kerja (Y) Di Provinsi Jambi tahun 2012-2021, hal ini ditunjukkan bahwa F hitung > F tabel (44,3 > 4,74). 3.) Besar pengaruh yang diberikan oleh variabel Pertumbuhan Ekonomi secara Parsial terhadap kesemaptan kerja di Provinsi Jambi Tahun 2012-2021 hanya sebesar 6,28%, besar pengaruh IPM secara Parsial terhadap Kesempatan Kerjadi Provinsi Jambi sebesar 4,99%. Sedangkan besar pengaruh secara simultan pertumbuhan ekonomi dan IPM terhadap Kesempatan Kerja Di Provinsi Jambi tahun 2017-2021 adalah sebesar 11,3% sedangkan sisanya 88,7% dipengaruhi oleh faktor lain yang tidak diteliti dalam penelitian ini.
Pengaruh Kesadaran Wajib Pajak Pengetahun Pajak Dan Kualitas Layanan Fiskus Dan Sanksi Pajak Terhapad Kepatuhan Wajib Pajak Kedaraan Bermotor Di Kota Sungai Penuh Dewi Ernita; Erni Febrina Harahap
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 9 No. 3 (2023): Juni 2023
Publisher : Sekretariat Pusat Lembaga Komunitas Informasi Teknologi Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v9i3.1210

Abstract

Tujuan dari penelitian ini adalah untuk memperoleh bukti pengaruh kesadaran wajib pajak, pengetahuan pajak, kualitas layanan fiskus dan sanksi pajak terhadap kepatuhan wajib pajak kendaraan bermotor di Kota Sungai Penuh. Jumlah sampel yang digunakan dalam penelitian ini sebanyak 30 responden dengan penentu sampel adalah metode sampling. Pengumpulan data dilakukan dengan penentuan sampel adalah kuesioner. Terdapat beberapa metode penelitian yang digunakan untuk mencapai tujuan penelitian ini adalah analisis deskriptif statistik, koefesien determinasi secara simultan dan parsial, analisis regresi berganda uji t dan uji f. Hasil penelitian ini menunjukan bahwa kesadaran wajib pajak, pengetahuan pajak, kualitas layanan fiskus dan sanksi pajak kendaraan bermotor di Kota Sungai Penuh.