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Roosemarina Anggraini Rambe
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Fakultas Ekonomi dan Bisnis, Universitas Bengkulu Address: Gedung Layanan Terpadu, University of Bengkulu, Bengkulu, Indonesia Phone: Eka 6281539267890, Vika Fitranita 6282182707708
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INDONESIA
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting
Published by Universitas Bengkulu
ISSN : -     EISSN : 30266726     DOI : 10.33369/bicemba
Core Subject : Economy,
Economics, Econometrics & Finance
The focus and scope of BICEMBA include Economics Development, Finance and Public Economics, Labor Economics, Blue and Green Economics Digital Economy and Behavioral Economics, E-Government and Governance, Macroeconomics Policy, International Trade, Creative Economics and Tourism, Food Security, Financial Management, Operational Management, Marketing Management, Strategic Management, Consumer Behavior, Organizational Behavior, Entrepreneurship, Risk Management, Human Resources Management, Financial Accounting, Management Accounting, Auditing, Information Systems, Public Accounting, Finance and Investment, Economics and Accounting Sharia, Financial Technology. Authors are invited to electronically submit through the Journal Website no more than 10 pages of a full paper.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 41 Documents
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Testing the Effect of COVID-19 on Herding Behavior in the Indonesian Islamic Stock Market Purwanto Widodo
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

This study aims to look at the herding behavior of shares of companies included in the JII (Jakarta Islamic Index). Observation period: January 5, 2009, to June 16, 2023, then divided into 3, namely the period before Covid-19, during Covid-19, and before - during Covid-19. Estimation of herding behavior using the Cross-Sectional Absolute Deviation (CSAD) model. The difference between this research and other studies is the model used. This study uses the Chang, Cheng & Khorana (2000) model which is modified by addingARCH - GARCH, to reveal the asymmetry effect. This study did not find herding behavior and the absence of the influence of Covid-19 on the movement of JII stocks, both before and during Covid-19. Theseresultsalso showthat investorshave rationalbehavior in making investmentdecisions. Investors on Jakarta Islamic Index stocks classified as Sharia principles are well educated. They have sufficient knowledge in managing information for decision-making, so they do not follow market consensus and make investment decisions based on available information. In addition, this study was able to reveal that the effect of positive shocks is greater when compared to negative shocks.
Poverty Discriminating Factors between Aceh Province and Bangka Belitung Province: Discriminant Approach Fransiska Simamora; Roosemarina Anggraini Rambe
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

This study aims to determine the discriminating factors of poverty between Aceh Province and Bangka Belitung Province. Aceh Province has the highest poverty rate. In contrast, Bangka Belitung Province has the lowest poverty rate in Sumatra. Using time series, the research period is 12 years (2011-2022). The discriminating variables used in the research are GRDP per capita, HDI, investment, government spending per capita, gini ratio, and unemployment rate. The method applied is discriminant analysis. The results show that the discriminating variables are GRDP per capita, HDI, and unemployment rate. The local government of Aceh province should be able to create programs that can increase HDI and employment opportunities so that unemployment rates decrease and people's incomes increase.
Analysis of Factors Influencing the Number of Poor People on the Island of Sumatra Sukma Wardani; Eka Dewi Anggraini
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

This research aims to analyze the factors that influence the number of poor people in the Sumatra region. The data used is secondary data from the Central Statistics Agency in the 2013-2023 period. The dependent variable is the number of poor people in the current year, the independent variables are the previous year's Gross Regional Domestic Product, the previous year's economic growth, the previous year's poverty trap, and the previous year's capital expenditure. The data analysis method applied is panel data regression analysis with a fixed effect model. The research results show that Gross Regional Domestic Product and economic growth have a negative and significant effect, while the poverty trap and capital expenditure have a positive and significant effect on the number of poor people on the island of Sumatra.
The Effect of Government Expenditure on Districts and City in Bali Province, Indonesia Feny Gusti Wijayanti; Wardatul Fara; Huswatun Hasanah
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

This study aims to determine the effect of tourism, health, infrastructure and the economic expenditures, as well as the Covid-19 pandemic on unemployment and poverty in the Regency/City of Bali Province, Indonesia. The research data used is panel data, consisting of nine regencies and cities in Bali Province 2014-2021. The analysis method used is panel data regression. The results showed that infrastructure expenditure has a significant negative effect on the unemployment rate. Economic expenditure has a significant positive effect on unemployment. During the Covid-19 pandemic, the unemployment rate increased significantly in Bali Province. Meanwhile, infrastructure expenditure and health expenditure have a significant negative effect, and economic expenditure has a significant positive effect on the poverty rate. However, the Covid-19 pandemic did not cause the poverty rate to increase significantly in Bali Province.
Factors Affecting Return on Asset at Himbara Bank in Indonesia Nanda Destiliansi; Eka Dewi Anggraini
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

This research aims to analyze the influence of Net Interest Margin (NIM), Operating Expenses, Operating Income (BOPO), Non-Performing Loans (NPL), Loan to Deposit Ratio (LDR) on Return On Assets at State-Owned Association Banks (HIMBARA) in Indonesia. This type of research uses secondary data based on 2010-2022 panel data. Data were analyzed using panel data regression using the Eviews analysis tool. The research results show that Net Interest Margin (NIM) has a significant effect on Return On Assets (ROA). Operational Income (BOPO) has a significant effect on Return On Assets. Loan to Deposit Ratio (LDR) has no effect on Return On Assets. Meanwhile, Non-Performing Loans (NPL) do not have a significant effect on Return On Assets at Bank Himbara in Indonesia.
Effectiveness and Efficiency Analysis: Budget Revenue and Regional Spending in Bengkulu Province, Period 2017-2021 Mutiara Rizki Utami; Yefriza Yefriza
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

Government performance areas can be assessed through evaluation performance, with finance analysis to implement the existing APBD prepared and implemented. Study This aims To analyze the effectiveness and efficiency of the management budget income and expenditure regional budget (APBD) of Bengkulu Province for the 2017-2021 period. The research methods used are method descriptive quantitative using secondary data from report realization of the Bengkulu Province APBD for the 2017-2021 period obtained from various agency-related parties, such as the Financial Service Bengkulu Province, Bureau of Statistics Bengkulu Province, and reports budget officially issued by the government area. Analytical tools used are ratio effectiveness and efficiency, starting from reduction data, presentation data, and withdrawal conclusion/verification. Research results show that the level of effectiveness management of the Bengkulu Province APBD for the 2017-2021 period averaged 91 %, which shows that management of the Bengkulu Province APBD has effectively achieved revenue and expenditure targets area. Efficiency level Bengkulu Province APBD management for the 2017-2021 period averaged 69 %, which shows that the Bengkulu Province APBD management has been completed efficiently in optimizing its resources.
Analysis the Factors of Unemployment Rate in Indonesia on 1990-2022 Bella Aflahza; Eka Dewi Anggraini; Muhammad Rusdi; Yusnida Yusnida; Benardin Benardin
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

This study aims to analyze the effects of Domestic Investment, Foreign Investment, inflation and economic growth on the unemployment rate in the Indonesia on 1990 – 2022. This type of research is an quantiatif research, where the analytical tool used is time series data regression analysis which is processed using Stata software. The results of this study found that the variables of Domestic Investment, Foreign Investment, and economic growth had a negative and significant effect on the open unemployment rate in the Indonesia. Meanwhile the variable of inflation had no effect on the unemployment rate in the Indonesia, because in Indonesia was heavy inflation and there outlier data because of a monetary crisis in 1998 and was caused by cost push.
Analysis Contribution of Sectoral and Human Development Index to the Poverty Rate in Bengkulu Province Tiara Sela; Retno A. Ekaputri
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

This study aims to determine the Sectoral Contribution and Human Development Index (HDI) to the Poverty rate in North Bengkulu Regency, Rejang Lebong Regency, Bengkulu City, and Bengkulu Province in 2013-2022. Data compiled from secondary data on BPS publications. Firstly, an analysis was conducted on 17 Sectors' Contributions to the total economy in the area, calculated for North Bengkulu Regency, Rejang Lebong Regency, Bengkulu City, and Bengkulu Province. Secondly, analysis by panel data regression method to find the highest Contribution Sector and HDI to Poverty rate. Results indicated that (1) The highest sectoral contribution during the 2013-2022 period is the Agriculture, Forestry, and Fisheries Sector ranging from 34% to 30%. (2) The highest sector contribution and Human Development Index (HDI) simultaneously affect the poverty rate in Bengkulu Province. Furthermore, the contribution of the Agriculture, Forestry and Fisheries sectors has a significant negative effect while the Human Development Index (HDI) has a significant positive effect on the poverty rate in Bengkulu Province in 2013-2022.
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

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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.
Evaluation of Two Decades of Fiscal Decentralization on Economic Capacity and Community Welfare: A Case Study of Bengkulu Province Dheanggi Wulan Pratama Wanty; Septriani Septriani
Proceedings of Bengkulu International Conference on Economics, Management, Business, and Accounting Vol. 1 (2023): Proceeding Bicemba
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Bengkulu

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Abstract

This study examines the impact of fiscal decentralization on local economic capacity and the welfare of the people of Bengkulu over the past two decades. Bengkulu was chosen as a case study because it has the second highest poverty rate in Sumatra Island. The study uses time series data obtained from various secondary sources, such as the human development index, poverty reports, DAU, and provincial economic development reports. This study uses a partial least squares structural equation model (PLS-SEM) using SmartPLS 3 software to analyze the data. This study has three main variables: community welfare (Y), economic capacity (M), and fiscal decentralization (X). The results of this study show that fiscal decentralization has an indirect effect on community welfare but a direct effect through economic capacity.

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