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ECOBRICK : MEMINIMALISIR SAMPAH PLASTIK DAN MENINGKATKAN PENDAPATAN RUMAH TANGGA MASYARAKAT DI NAGARI SUNGAI DURIAN KABUPATEN SOLOK Romy Chandra Wijaya; Gusniza Novalia; Srifany Yulianti; Aulya Akbar; Ega Guspita; Ronaldo Putra; Erni Febrina Harahap
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 4, No 3 (2021): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v4i3.743-748

Abstract

Salah satu masalah utama yang dihadapi kota-kota di Indonesia adalah sampah. Sampah dapat dipahami sebagai hasil dari aktivitas manusia. Sampah terdiri dari 2 jenis yaitu sampah organic dan sampah non-organic, sapah organic ini seperti dedaunan kering, ranting, kulit buah-buahan dan lain sebagainya, maanfaat alami dari sampah organis ini dapat menjadi pupuk bagi tanaman lainnya sedangkan sampah non-orgnisk seperti pelastik merupakan permasalahan yang sangat besar sebab seperti yang kita ketahui bahwa plastik merupakan bahan yang memerlukan waktu sangat lama untuk terurai, disisilain plastik ini juga berdampak buruk bagi lingkungan seperti membuat kualitas tanah menurun membuat tanaman yang lain tidak tumbuh subur dan juga dapat membuat kualitas air sungai atau laut tercemar. Upaya mengelola sampah dengan metode ecobricks dapat menjadi salah satu solusi untuk mengurangi limbah plastik dengan cara memanfaatkannya menjadi furnitur (kursi, meja), dinding, bahkan sebuah bangunan secara utuh. Oleh karena itu, metode ecobricks ini dapat mengurangi pencemaran plastik di lingkungan, tidak hanya itu metode ecobrik ini juga dapat dibentuk menjadi barang yang berniali guna dan menarik sehingga memiliki nilai ekonomis yang dapat diperjual belikan.
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
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.
MODEL KARAKTERISTIK DAN PERANAN PEKERJA INFORMAL DI KOTA PADANG Erni Febrina Harahap
Jurnal Apresiasi Ekonomi Vol 4, No 3 (2016)
Publisher : Institut Teknologi dan Ilmu Sosial Khatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (134.65 KB) | DOI: 10.31846/jae.v4i3.161

Abstract

phenomenon, but as a reality of economythat important in the development of society and national economy. At least, when the government was not quit competence to provide the employment opportunities for the labor force, the informal sector with all its shortage took a role as a container and alternative employment opportunities for the job seekers. It is also experienced by Padang after the earthquake in 2009 which destroyed some facilities and infrastructure as well as at the same time the economic crisis made people involuntarily unemployed and temporarily mitigated by the availability of employment opportunities in the informal sector in urban areas reflected by street vendors as the main face.This study examines and analyzes in depth the characteristics of informal workers to identificate of demographics , region of origin, age of business , hours of operation, capital and finance, health of workers, the problems and their prospects. The methodology used was qualitative descriptive analysis with random data sample of 255 street vendors.The results of the study found that the role of women more prominent than men to work in this sector , and the educational level of workers with family members was not so much different that was only until the equivalent of high school , and workers in the sector was dominated by local residence , with the capital beginning most dominant of ≤ two million, and capable to give experience with lower cost. Keywords : informal workers, business types, roles, education, prospects
PENGARUH FASILITAS, KUALITAS PELAYANAN DAN PENGALAMAN TERHADAP KEPUASAN KONSUMEN PENGINAPAN CITRA ALAM 2 KOTA SUNGAI PENUH Zefri Efdison; Yelnim Yelnim; Dorris Yadewani; Erni Febrina Harahap; Aan Nurmadi
Juremi: Jurnal Riset Ekonomi Vol. 3 No. 1: Juli 2023
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/juremi.v3i1.6050

Abstract

This study aims to determine the Effect of Facilities, Service Quality and Experience on Consumer Satisfaction of Citra Alam Inn 2 Full River City. The sample from this study was 80 people. 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 facilities on consumer satisfaction of Citra Alam Inn 2, this was evidenced by t count > t table (3.101 > 1.99167), and with significance value = 0.041 < 0.05, and the magnitude of influence was 22.8%. There is a significant influence between the Quality of Service on Consumer Satisfaction of Citra Alam Inn 2, this is evidenced by t count > t table (2.066 > 1.99167), and with significance value = 0.000 < 0.05, and the magnitude of influence is 14.4%. There is a significant influence between Experience and Consumer Satisfaction of Citra Alam Inn 2, this is evidenced by t count > t table (2.498 > 1.99167), and with significance value = 0.000 < 0.05, and the magnitude of influence is 15.5%. There is a significant influence between Facilities, Quality of Service and Experience on Consumer Satisfaction of Citra Alam Lodging 2 simultaneously or together, this is evidenced by F count > F table (28,222 > 2.72) or sig < α (0.000 < 0.05), and the magnitude of the influence is 52.7%, while the rest (100% - 52.7%), i.e. 47.3% is explained by other causal factors not studied in this study.
PENGARUH PENGANGGURAN, TENAGA KERJA DAN INFLASI TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA Jessy Jeray; Satria Yoga Putra; Erni Febrina Harahap
Jurnal Menara Ekonomi : Penelitian dan Kajian Ilmiah Bidang Ekonomi Vol 9, No 1 (2023): VOLUME IX NO. 1 OKTOBER 2023
Publisher : Jurnal Menara Ekonomi : Pelatihan dan Kajian Ilmiah Bidang Ekonomi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31869/me.v9i1.4496

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh pengangguran, tenaga kerja dan inflasi terhadap pertumbuhan ekonomi  di Indonesia tahun 1982-2021. Alat analisis yang digunakan adalah analisis regresi linear berganda. Perangkat lunak yang digunakan untuk melakukan analisis adalah Eviews 10. Hasil penelitian menunjukkan bahwa variabel pengangguran berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi. Variabel tenaga kerja dan inflasi berpengaruh negatif dan signifikan terhadap pertumbuhan ekonomi dan variabel inflasi berpengaruh negative dan signifikan terhadap pertumbuhan ekonomi.Kata kunci : pertumbuhan ekonomi, pengangguran, tenaga kerja, inflasi