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All Journal MANAJEMEN DEWANTARA Computer & Science Industrial Engineering Journal
Tan, James
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Computer Science & IT Economics, Econometrics & Finance

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ANALISIS ALGORITMA C4.5 UNTUK PENENTUAN KELAYAKAN PELAMAR BEKERJA PADA PT INDOLAND Tan, James; Elisa, Erlin
Computer Science and Industrial Engineering Vol 5 No 5 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Judging from the development of science and technology (IPTEK) today, everyone is competing to catch up in business, expertise and education, especially the issue of globalization which is starting to enter Indonesia where quality resources are the benchmark in recruiting workers to join. labor. Based on data from the Central Statistics Agency (BPS) the number of the workforce in February 2020 was 137.91 million people, an increase of 1.73 million people compared to February 2019. Likewise in Batam, which is known as an industrial center which makes many job candidates come here to complain. fate. In this case the job owner must be more selective in increasing the criteria for employees to be accepted including PT. Indoland, this research will utilize the datamining algorithm analysis technique C4.5 to analyze the criteria for accepting prospective employees at PT. Indoland by using entorpy calculations and the highest profit from several the variables that have been determined, the criteria that greatly affect acceptance are education, age and health which are the main considerations.
PENGARUH RASIO HUTANG, PROFIT MARGIN, UKURAN PERUSAHAAN, DAN LIKUIDITAS TERHADAP FINANCIAL DISTRESS PADA PERUSAHAAN PROPERTI, REAL ESTATE, DAN KONSTRUKSI YANG TERDAFTAR DI BEI Tan, James; Evelyn
MANAJEMEN DEWANTARA Vol 7 No 1 (2023): MANAJEMEN DEWANTARA
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/md.v7i1.13763

Abstract

Financial distress is the stage where the company experiences a gradual and continuous decline in its financial condition, before the company goes bankrupt or goes into liquidation. The purpose of this study was to determine the effect of debt ratios, profit margins, firm size and liquidity on the company's financial distress. The population in this study were 75 property, real estate, and construction sector companies listed on the IDX in 2016-2021, which were obtained using the purposive sampling method. The data analysis method used in this study is the multiple linear regression method, which is applied using SPSS and eViews applications. The financial distress variable was measured using the Altman Z-Score method, the debt ratio variable was measured by the debt to asset ratio, the profit margin variable was measured by the net profit margin, the firm size variable was measured by looking at the company's total assets and the liquidity variable was measured using the current ratio. The type of data used in this study is primary data obtained from financial statements on the website of the related company and secondary data in the form of data from bloomberg.com. The results of this study indicate that company size, profit margin, and liquidity have a positive and significant effect on financial distress. While the debt ratio variable has a negative and significant effect on financial distress. This research is expected to be useful for readers who want to know what are the company's internal factors that influence the performance of companies in the property and real estate sector, and can use this research as a reference in conducting further research.size and liquidity have no significant effect on financial distress. This research is expected to be useful for readers who want to know what are the company's internal factors that affect the performance of the property and real estate sector companies, and can use this research as a reference in conducting further research.
Co-Authors Elisa, Erlin Evelyn