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FINANCIAL INCLUSION, POPULATION QUALITY LEVEL, POVERTY, AND UNEMPLOYMENT ON ECONOMIC GROWTH Aryani, Dwi; Masruki, Rosnia; Bunyamin, Bunyamin; Rorimpandey, Thalia; Istutik, Istutik
TRIKONOMIKA Vol 23 No 1 (2024): June Edition
Publisher : Faculty of Economics and Business, University of Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/trikonomika.v23i1.10840

Abstract

The purpose of this research are to analyse the effect of financial inclusion and population quality level on economic growth with poverty and unemployment as intervening variables. The research method used in this study is a quantitative descriptive analysis approach. The independent variables are financial inclusion, population quality level, poverty, unemployment, and the dependent variable is economic growth. The total data employed is 1020 which was taken from the Central Agency of Statistic (BPS) and the Financial Service Authority (OJK) in year 2016-2021. The data analysis method used is Partial Least Square with Structural Equation Modelling and bootstrapping method. The results showed that financial inclusion does not have an effect on economic growth, poverty and unemployment. Poverty and unemployment cannot mediate the correlation between financial inclusion and level of population quality on economic growth. Unemployment has a positive effect on poverty.A slower economic growth and poverty in Indonesia are still a crucial problem that must be solved, therefore this study gives essential implications to provide data for policymakers such as the OJK that has important role on encouraging financial inclusion and economic growth; as well as BPS in reducing poverty and unemployment; and to enrich literature and theory.
PREDICTING CORPORATE BANKRUPTCY IN INDONESIA'S TRANSPORTATION INDUSTRY Surwanti, Arni; Fauzi, Ramdan; Masruki, Rosnia
Jurnal Aplikasi Manajemen Vol. 20 No. 2 (2022)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jam.2022.020.02.06

Abstract

This study predicts the potential bankruptcy of transportation firms listed on the Indonesia Stock Exchange in 2014-2019. Three prediction models are modified Altman Z-score, Springate Score, and Zmijewski Score. This study also aims to determine the determinants of bankruptcy according to the three models. Archival techniques are used to collect data. Based on the modified Altman Z-score, 65 companies are in the potentially bankrupt category, while 39 companies are healthy. According to the model, the determinants of bankruptcy are profitability and market value. Based on the Springate model, there are 115 firms in the potentially bankrupt category and 17 companies in the healthy category. The determinants of bankruptcy are working capital, profitability, and activity. Zmijewski's model suggests that 111 firms are healthy and 21 are in the bankrupt category. It shows that profitability and solvency are significant predictors of bankruptcy. This paper is a compilation of the concerns surrounding corporate bankruptcy risk, issues that each company manager should be aware of to secure business continuity. Investors also need to consider this company's bankruptcy prediction analysis to determine investment choices. The government also needs to evaluate the policy for the transportation industry.
Enhancing Efficiency Performance Measurement of Zakat Institutions: Tjahjani, Fera; Masruki, Rosnia; Ibrahim, Norhazlina
Journal of Accounting, Business and Management (JABM) Vol 32 No 1 (2025): April
Publisher : STIE Malangkucecwara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31966/jabminternational.v32i1.1551

Abstract

Law Number 23 of 2011 concerning the management of zakat mandates that the Badan Amil Zakat Nasional (BAZNAS) and Lembaga Amil Zakat (LAZ) must manage zakat funds efficiently and effectively. BAZNAS currently utilises four types of ratios to measure efficiency performance separately: (1) collection expenses ratio, (2) operational expenses ratio, (3) human resource expenses ratio, (4) amil fund ratio. However, most of studies related to efficiency performance assessment of zakat institutions use the Data Envelopment Analysis (DEA) index. The DEA index measures efficiency by comparing the amount of output and input, but its input and output components are flexible, depending on the researcher’s perspective, and it does not explicitly incorporate the 12.5% amil rights. This study aims to propose a new index to measure efficiency performance in a more appropriate and integrated manner, referring to Indonesian Financial Accounting Standard (IFAS) 401, the DEA index, and the amil fund ratio. This proposed index is expected to be more accurately assess the efficiency performance of zakat institutions