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Liquidity Surplus: Profitability Growth, Leverage, in Financial Service Companies Anita, Siska Yuli; Nuraeni, Nuraeni; Moch Arif Hernawan; Siti Nurhayati; Enny Haryanti
Dinasti International Journal of Digital Business Management Vol. 5 No. 2 (2024): Dinasti International Journal of Digital Business Management (February - March
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijdbm.v5i2.2310

Abstract

The purpose of this article is to analyze potential strategies and solutions to efficiently manage liquidity surpluses, increase profitability, and address operational issues, and provide recommendations to company management on concrete steps that can be taken to optimize liquidity surplus management, increase profitability growth, and reduce leverage and gap risks in company operations. This article uses quantitative methods, which look for influences between variables, the population in this study is middle leaders in financial companies with respondents randomly selected from several financial companies with the distribution of questionnaires. The questionnaire returned after being filled out as many as 52 respondents. Data processing in producing results from questionnaires using SPSS 23 in producing research results. Profitability and leverage have a significant influence on a company's liquidity. This suggests that a company's financial performance, such as profitability, and capital structure, such as leverage, play an important role in determining a company's liquidity level. Therefore, the company's financial management needs to pay close attention to these two factors in an effort to maintain and increase optimal liquidity levels. Pay Attention to Profitability Performance: The management of the company must continue to pay attention and improve its profitability performance. This can be done by improving operational efficiency, product innovation, and the right marketing strategy to increase company revenue and profits. It is expected that the company can maintain and increase its liquidity level, so that it can achieve its long-term financial goals more effectively and efficiently.
The Influence of Number of Industries, Nominal Wages of Labor and Educational Background on Employment Absorption in Medium and Large Industries Sector in Indonesia Ardiyanto Maksimilianus Gai; Titik Poerwati; Monsar Marito Sir; Dana Aswadi; Moch Arif Hernawan
Jurnal Kewarganegaraan Vol 7 No 2 (2023): Desember 2023
Publisher : UNIVERSITAS PGRI YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jk.v7i2.5897

Abstract

Abstrak Tujuan dari penelitian ini adalah untuk mengetahui pengaruh tingkat pendapatan, lama pendidikan, dan jumlah industri terhadap penyerapan tenaga kerja di sektor industri. Data yang digunakan diklasifikasikan sebagai data sekunder. Pendekatan pengumpulan data dalam penelitian ini dilakukan dengan menggunakan data sekunder yang diperoleh dari Badan Pusat Statistik, serta sumber-sumber lain yang dapat dipercaya seperti publikasi, makalah, internet, dan karya ilmiah yang relevan. Penelitian ini menggunakan regresi data panel untuk analisis data. Hasil survei menunjukkan bahwa tingkat kompensasi memiliki dampak yang signifikan terhadap jumlah penyerapan tenaga kerja. Jumlah industri memiliki dampak yang menguntungkan dan cukup besar terhadap penyerapan tenaga kerja. Tingkat pendidikan yang lebih tinggi memiliki dampak yang menguntungkan dan cukup besar terhadap kemampuan untuk mendapatkan pekerjaan. Variabel upah, jumlah industri, dan lama sekolah memiliki dampak yang cukup besar terhadap penyerapan tenaga kerja. Kata Kunci: Tingkat Upah, Jumlah Industri, Lama Sekolah, Tenaga Kerja Abstract The objective of this study is to determine the impact of income level, years of education, and number of industries on labor absorption in the industrial sector. The data utilized is classified as secondary data. The data gathering approach for this research involved utilizing secondary data obtained from the Central Statistics Agency, as well as other credible sources such as publications, papers, the internet, and relevant scholarly works. The research employed panel data regression for data analysis. Survey results indicate that compensation levels have a significant impact on the amount of labor absorption. The number of industries has a favorable and considerable impact on labor absorption. Higher levels of education have a beneficial and substantial impact on the ability to secure employment. The variables of pay, number of industries, and years of schooling exert a substantial impact on labor absorption. Keywords: Wage Level, Number of Industries, Years of Schooling, Employment