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The Effect of Liquidity, Leverage, Operating Capacity, Profitability, and Sales Growth as Predictors of Financial Distress : (Property, Real Estate, and Construction Services Companies Listed on the IDX) Agil Krisna Rivanda; Kurnia Fajar Afgani; Radia Purbayati; Marziana Madah Marzuki
Journal Integration of Management Studies Vol. 1 No. 1 (2023)
Publisher : Integrasi Sains Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58229/jims.v1i1.15

Abstract

This paper begins with analyzing financial ratios by examining the effect of liquidity, leverage, operating capacity, profitability, and sales growth as predictors of firms' financial distress risk. The study employs a statistical method (logit model). Using 38 property, real estate, and construction services firms listed on the Indonesia Stock Exchange between 2016 and 2022, 646 observations were collected and analyzed using logistic regression. The results show that leverage, operating capacity, and profitability positively and significantly influenced predicting financial distress risk, while liquidity and sales growth do not affect predicting financial distress risk. The result of model calcification accuracy is 84%; this shows that the model can accurately predict the financial distress risk of property, real estate, and construction services companies in the study period of 543 observations from 646 observations or 84%. This study concludes that profitability, leverage, and operating capacity influence the financial distress risk on property, real estate, and construction services companies.
KOMPARATIF PEMBIAYAAN SYARIAH SEKTOR PERIKANAN SEBELUM DAN SESUDAH MERGER, IMPLIKASI PEMBIAYAAN, INDEKS KONSUMSI RUMAH TANGGA TERHADAP KESEJAHTERAAN NELAYAN Reviandi Ramadhan; Awat Widuri; Agil Krisna Rivanda
BUANA ILMU Vol 8 No 2 (2024): Buana Ilmu
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/bi.v8i2.7293

Abstract

Tujuan penelitian ini untuk menguji apakah terdapat perbedaan pembiayaan bank syariah sektor perikanan sebelum dan sesudah merger dan menguji pengaruh antara pembiayaan bank syariah sektor perikanan, indeks konsumsi rumah tangga (IKRT) terhadap tingkat kesejahteraan nelayan sektor perikanan yang diukur dari Nilai Tukar Nelayan (NTN) periode 2017-2022. Metode penelitian berdasarkan pendekatan kuantitatif dengan analisis deskriptif, analisis diagnostic dan analisis prediktif menggunakan aplikasi machine learning KNIME. Hasil penelitian ini menunjukkan bahwa terdapat perbedaan pembiayaan Syariah sektor perikanan sebelum dan sesudah merger. Implikasi dari penyaluran pembiayaan, indeks konsumsi rumah tangga (IKRT) menunjukkan pembiayaan Syariah ke sektor perikanan berpengaruh signifikan terhadap kesejahteraan nelayan sektor perikanan (NTN), indeks konsumsi rumah tangga berpengaruh signifikan terhadap kesejahteraan Nelayan di sektor perikanan (NTN).