Novi Tri Putri
Jurusan Ekonomi Pembangunan FEB Universitas Bengkulu

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Perbandingan Kinerja UKM Kluster Dan Non Kluster Di Kota Bengkulu Novi Tri Putri
Jurnal Ekonomi Kuantitatif Terapan 2015: Vol. 8, No. 1, Februari 2015 (pp. 1-112)
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (240.131 KB) | DOI: 10.24843/JEKT.2015.v08.i01.p06

Abstract

Location is an important factor for a firm to grow. Firms will have many advantages if they were located in a cluster. This article will discuss about the factors that used to point the SME location of the special product in Bengkulu by using discriminant analysis. Generally, discriminant model that used have a good prediction ability, with a true prediction more than 78% cases. There are five different variable that found as predictors of the location; the amount of the labor, the government rules , the education of the businessman, source of the product supply, and capital investment. Based on the range of the performance, the ventures in non-cluster location show better performance than the ventures in cluster location.
ANALISIS SHIFT SHARE PADA TRANSFORMASI SEKTOR PERTANIAN DALAM PEREKONOMIAN WILAYAH DI BENGKULU Esti Pasaribu; Merri Anitasari; Romi Gunawan; Retno Agustina Ekaputr; Novi Tri Putri
Jurnal Ekonomi-Qu Vol 10, No 2 (2020): Jurnal Ekonomi-Qu
Publisher : FEB Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35448/jequ.v10i2.9557

Abstract

This study aims to identify the changes of the agricultural sector in Bengkulu using the shift-share analysis model. While Bengkulu is always the poorest area in Sumatera Island so it is important to look further into the economic structure of Bengkulu and to compare the sectoral distributions with Sumatera’s. The type of this research is a descriptive analysis using secondary data in the 2010-2016 period. Shift share analysis using Esteban Marquilas’s results describes that the agricultural sector is no longer the backbone of Bengkulu economy. The analysis shows that the value of competitive advantage in Bengkulu Province was negative, while specialization value (Aij) was negative too. In aggregate, Bengkulu Province has no competitive advantage and also specialization. This means Bengkulu Province needs a breakthrough to get out of poverty, especially by looking at the economic structure.
ANALISIS KETIMPANGAN PEMBANGUNAN DI PROVINSI BENGKULU (TELAAH POSISI 3 KABUPATEN INDUK) Novi Tri Putri; Aris Almahmudi
Convergence: The Journal of Economic Development Vol. 2 No. 1 (2020)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/convergence-jep.v2i1.12075

Abstract

This research aim was to analized the development disparities in Bengkulu Province, and the position change of 3 parent districts. The analysis method used descriptive anylisis with Klassen Typology and Williamson Index (WI), and used data from BPS Bengkulu Province publication (2002-2016). The result show WI for 2002, 2007 and 2016 in a row amount to 0,34; 0,40 and 0,37; which mean that the area expantion may cause the development disparities more equal or not. In the years of observation, position of 3 parent disticts always changing in the regional stucture of Bengkulu Province. It may caused of the dinamic development of the district, both parent and new districts.   Keywords :  Development Disparities 1, Area Expansion 2, Klassen Typology 3, Williamson Index 4
ANALISIS KETIMPANGAN PRODUKTIVITAS DAN DUALISME KETENAGAKERJAAN DI PROVINSI BENGKULU Armelly Armelly; Novi Tri Putri; Retno Agustina Ekaputri; Lela Rospida
Convergence: The Journal of Economic Development Vol. 2 No. 2 (2020)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/convergence-jep.v2i2.13869

Abstract

The purpose of this study is to analyze labor productivity inequality and labor dualism in Bengkulu Province. The method used is descriptive analysis, equipped with class typology and elasticity of employment. We are using employment data from BPS publications. The results show that by dividing business fields into 17 sectors in 2018 and 2019, labor productivity inequality is awfully unequal, which is indicated by a very high standard deviation rate. Meanwhile, labor dualism is led by informal workers by a percentage of over 60%. More workers with primary education are absorbed in the informal sector, whereas educated workers are mostly taken in the formal sector. The highest coefficient of labor absorption elasticity for legal workers occurred in 2016 (3.14) and for informal workers in 2015 (1.73).Keywords: labor dualism, labor productivity
PELUANG TERJADINYA PENGANGGURAN DI PROVINSI BENGKULU : SEBERAPA BESAR? Lisa Marini; Novi Tri Putri
Convergence: The Journal of Economic Development Vol. 1 No. 2 (2019)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (811.155 KB) | DOI: 10.33369/convergence-jep.v1i2.10900

Abstract

The aim of this research is to analyze how are opportunity occured unemployment based on characteristics of populations in Bengkulu province. Characteristics of populations that used are education, training/course certificate, age, gender, work experience, marital status, status in the family, and area of residence. The analytical method used to achieve this goal is the logistic regression analysis. Type of key data use row data derived from the National Labor Force Survey (Sakernas) February 2018. The result of the calculation using the program SPSS 20.0 was found that not all the variables of population characteristics significantly affect the chances of unemployment with a confidence level of 95 percent. Education and age are significantly affect of unemployment in Bengkulu Province, while training/course certificate, gender, work experience, marital status, status in the family and area residence are not significantly affect of unemployment in Bengkulu Province. Keywords: Logistic Regression Analysis, National Labor Force Survey  (Sakernas), Unemployment.
Pengaruh Kredit Perbankan Terhadap Pertumbuhan Ekonomi Provinsi di Sumatera Rhisca Meci Lestari; Ratu Eva Febriani; Novi Tri Putri
Convergence: The Journal of Economic Development Vol. 3 No. 2 (2021)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/convergence-jep.v3i2.22388

Abstract

The purpose of this study was to analyze working capital loans, investment loans and consumption loans in Sumatra Province in 2010-2018. This type of research used in this study is secondary data, namely data in the form of numbers or quantitative time series. Based on the results of the panel analysis of regression data by E-Views 9, working capital credit are positive and significant to economic growth in Provinces in Sumatra, investment credit is positive and significant to economic growth in Provinces in Sumatra and consumption credit have positive and significant income to economic growth in the Provinces all over Sumatra. Keywords: Working capital credit1, Investment credit2, Consumption credit3, Economic growth4
Strategi Pengembangan Industri Pengolahan Makanan Khas Bengkulu di Kota Bengkulu Tiara Windiana; Novi Tri Putri
Convergence: The Journal of Economic Development Vol. 3 No. 2 (2021)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/convergence-jep.v3i2.22709

Abstract

The objectives of this research are: (1) Knowing the internal and external factors in the development of small industry of Bengkulu typical food processing in Bengkulu City and (2) Formulating a development strategy to increase the growth of small industry of Bengkulu typical food processing in Bengkulu City. This research is a type of quantitative descriptive research. The types of data used are primary and secondary data obtained from the Central Statistics Agency of Bengkulu Province in 2016-2020 and the distribution of questionnaires. The data analysis method used is descriptive analysis and SWOT analysis. Based on the results of data analysis, it is found that the strategy that can be carried out for the business of developing Bengkulu specialties is the W-O strategy, namely: (a) Making regulations on the preservation of regional culture; (b) Build special food business centers; (c) Facilitation and support for business capital from the relevant agencies/agencies; and (d) Conducting bazaars or events for regional and national culinary specialties. Keywords: Strenght, Weakness, Opportunity, Threats and Strategy
Local Economic Development Sebagai Upaya Terwujudnya Pembangunan Berkelanjutan Meli Handayani Catur Putri; Novi Tri Putri
Convergence: The Journal of Economic Development Vol. 4 No. 1 (2022)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/convergencejep.v4i1.23018

Abstract

The purpose of this paper is to describe the role of Local Economic Developmet (LED)  in achieving the Sustainable Development Goals (SDG;s). This paper uses previous research articles as a basis for describing the implementation of LED in various aspects and their relation to the achievemnet of the SDG’s. the results of the research show that LED is one way to achive the SDGs, especially with regard to inclusive and sustainable economic growth, full and produktive employment, and decent work for all.   Keywords: Local Economic Developmet1, Sustainable Development Goals2
The Influence of Human Development Index, Population Number, and Economic Growth on Poverty in Bengkulu Province, 2013-2022 Aniska Julia Putri; Novi Tri Putri
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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

Abstract

The purpose of this study is to analyse the relationship between the Human Development Index (HDI), population, and growth rate in Bengkulu province districts and cities over the period of 2013-2022. This study employs quantitative approaches to data collection. Bengkulu province was represented in this study with a sample that includes ten of its districts and cities. Secondary data collected by the British Statistics Service (BPS) were used for this study's research. A panel data regression model served as the basis for the study methodology used to analyse the collected data. In light of this investigation, FEM was determined to be the most suitable model. The ratio of 95% implies that the independent variables HDI, population, and economic growth have the potential to explain poverty factors in districts and cities in Bengkulu province with a ratio of 95% while the remaining 5% is explained by other variables. The r-squared value is 0.959038, which translates to 95%. excluded from the scope of this study model. According to the findings of the study, the HDI coefficient is -0.225, the probability value is 0.0740, which indicates that it has neither a positive nor a significant influence on poverty, and the population coefficient value is -6.730, with a probability value of 0.0001. economic growth has a coefficient of 0.045 with a probability value of 0.05175, suggesting it has no significant impact on poverty in the districts or cities of Bengkulu province in 2013-2022. this indicates that it has a negative and significant affect.
Analysis of Factors Affecting Poverty in Eastern Indonesia Quriah Silvia Ningsih; Novi Tri Putri
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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

Abstract

This study aims to analyze the effect of per capita income, length of schooling, and unemployment to on poverty in Eastern Indonesia. A panel regression model was used. The data used consisted of 11 provinces from 2016 to 2022. The research results show per capita income has a significant negative effect on poverty. Years of schooling and the unemployment rate have a significant positive effect on poverty. Years of schooling and unemployment rates are the main factors influencing poverty in Eastern Indonesia. Meanwhile, per capita income and years of schooling can help reduce poverty in Eastern Indonesia. Thus, both central and regional governments should reduce the unemployment rate. They also should create the programs in order to increase the people’s income in Eastern Indonesia.