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PENGARUH LIKUIDITAS, PROFITABILITAS DAN LEVERAGE TERHADAP NILAI PERUSAHAAN Maharani, Jessica; Murtanto, Murtanto
EBID: Ekonomi Bisnis Digital Vol 2, No 1 (2024): Juli
Publisher : STMIK Widuri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/ebid.v2i1.232

Abstract

This research aims to determine the effect of liquidity, profitability and leverage on company value. The subject of thisresearch is the energy industry listed on the Indonesia Stock Exchange for the 2018-2021 period. The research designapplied is a causal study. The sampling technique uses a purposive sampling method. This method produces 58 companiesthat meet the criteria from a total of 80 companies during the 4 year observation period. The total sample includes 58companies. The data analysis method uses multiple linear regression analysis. The research results show that liquidityhas a positive effect on company value, while leverage and profitability have a positive effect on company value.
Pendeteksian dan Determinan Overfishing di Indonesia: Penerapan Analisis Klaster dan Regresi Logistik Biner Johan, Muhammad Fazlan; Zareka, Andi Muh. Zulfadhil; Kesumawijaya, Anak Agung Istri Anggita; Kurniasari, Agustin; Maharani, Jessica; Putri, Nimas Ayu Eka
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2096

Abstract

Overfishing causes a decline in fish stocks, imbalance in marine ecosystems, and economic losses for the fisheries sector. This study aims to obtain a model that is able to detect overfishing in various provinces in Indonesia using a combination of cluster analysis and logistic regression. The data used in this research is secondary data obtained from the Central Statistics Agency (BPS) and the Indonesian Ministry of Maritime Affairs and Fisheries (KKP) which includes information related to marine fish production in Indonesia in 2022. From the study conducted, it was found that the provincial data are classified into two clusters where the second cluster was classified as overfished provinces. Based on the analysis carried out, the best model for modeling overfishing is a logistic regression model with two predictor variables, which are exports and fish consumption rates. Thus, it is hoped that this research can serve as a guide for the government in formulating sustainable policies to reduce the number of overfishing in Indonesia in the following years.
Pengaruh Current Ratio, Debt to Equity Ratio, Return on Asset dan Ukuran Perusahaan Terhadap Financial Distress Pada Perusahaan Sub-Sektor Konstruksi Maharani, Jessica; Ramli, Rosmini
Paradoks : Jurnal Ilmu Ekonomi Vol. 8 No. 4 (2025): Agustus - Oktober
Publisher : Fakultas Ekonomi, Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57178/paradoks.v8i4.1648

Abstract

Tujuannya menganalisis pengaruh Current Ratio, Debt to Equity Ratio, Return on Asset, serta Ukuran Perusahaan terhadap Financial Distress pada perusahaan konstruksi tercatat di Bursa Efek Indonesia sepanjang periode 2019 hingga 2023. Populasi penelitian mencakup seluruh perusahaan sub-sektor konstruksi terdaftar dalam periode tersebut, dengan pemilihan sampel sebanyak 11 perusahaan berdasarkan kriteria tertentu. Pendekatan kuantitatif dipergunakan dengan metode Regresi Logistik. Data dianalisis diperoleh Laporan Tahunan dan Laporan Keuangan diterbitkan dalam rentang waktu lima tahun, dan pengolahan data dilaksanakan memanfaatkan perangkat lunak SPSS versi 23. Hasil analisis melihatkan variabel Current Ratio, Debt to Equity Ratio, Ukuran Perusahaan tidak mempunyai pengaruh signifikan terhadap financial distress, sementara Return on Asset terbukti berpengaruh. Implikasi dari hasil ini mengarah pada perlunya perusahaan meningkatkan efisiensi dalam pengelolaan aset untuk mendongkrak profitabilitas guna mencegah kondisi financial distress. Di sisi lain, Return on Asset direkomendasikan sebagai indikator utama untuk investor maupun analis keuangan mengevaluasi potensi risiko finansial perusahaan sub-sektor konstruksi.