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Pertumbuhan Penjualan, Ukuran Perusahaan, Leverage, Modal Kerja, Likuiditas, Perputaran Kas dan Pengaruhnya Terhadap Profitabilitas Pada Industri Makanan dan Minuman yang Listing Di Bursa Efek Indonesia (BEI) Stefannie Halim; Felicia Felicia; Valencia Lius; Tiffany Veronica; Bayu Wulandari
Ekonomis: Journal of Economics and Business Vol 5, No 2 (2021): September
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v5i2.412

Abstract

This study was made with the aim of testing whether sales growth, company size, leverage, working capital, liquidity, cash turnover have an influence on profitability in manufacturing companies in food and beverage sub-sector for 2017-2019 period.Quantitative methods are used in this analysis. The use of purposive sampling technique leaves 13 (thirteen) companies from the research population as many as 26 (twenty six) companies listed on the Indonesia Stock Exchange (IDX). A total of 39 (thirty nine). The source of the data for this research comes from the financial statements of companies published on www.idx.co.id. The research method used is descriptive analysis method and multiple linear regression analysis method. The dependent variabel in this study is profitability, while the independent variabel are sales growth, company size, leverage,liquidity, and cash turnover.The results obtained in this study are partially sales growth, working capital turnover have a significant effect on profitability, while company size, leverage, liquidity, and cash turnover have no significant effect on profitaibility. The findings of this study suggest that manufacturing companies in food and beverage sub-sector need to pay attention to sales growth and working capital turnover.
Hubungan antara Forgiveness dan Psychological Well-Being pada Korban Kekerasan dalam Rumah Tangga Mettatirtha Angela; Felicia Felicia; Febriyani Cipta
JURNAL PENELITIAN PENDIDIKAN, PSIKOLOGI DAN KESEHATAN (J-P3K) Vol 2, No 1 (2021): J-P3K APRIL
Publisher : Mata Pena Madani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51849/j-p3k.v2i1.93

Abstract

Penelitian ini memiliki tujuan menganalisis dan mengetahui hubungan antara forgiveness dengan psychological well-being pada korban kekerasan dalam rumah tangga. Hipotesis dari penelitian ini adalah terdapat hubungan positif antara forgiveness dengan psychological well-being pada korban kekerasan dalam rumah tangga. Subjek yang digunakan pada penelitian ini adalah 100 orang wanita korban kekerasan dalam rumah tangga. Penelitian ini adalah penelitian kuantitatif dengan menggunakan metode purposive sampling. Data dikumpulkan menggunakan skala forgiveness dengan 36 butir aitem dan skala psychological well-being dengan 35 butir aitem. Uji normalitas serta uji linearitas merupakan uji asumsi yang digunakan dalam penelitian ini. Teknik analisis data yang dipakai adalah teknik korelasi Pearson Product Moment. Hasil analisa data menunjukkan terdapat hubungan yang positif antara forgiveness dan psychological well-being pada korban kekerasan dalam rumah tangga dengan nilai korelasi pearson sebesar r = 0.524 dan signifikansi p = 0.000 (p
Ketepatan Altman Score, Zmijewski Score, Grover Score, dan Fulmer Score dalam menentukan Financial Distress pada Perusahaan Trade and Service Munawarah Munawarah; Anton Wijaya; Cindy Fransisca; Felicia Felicia; Kavita Kavita
Owner : Riset dan Jurnal Akuntansi Vol. 3 No. 2 (2019): Owner Volume 3 Nomor 2 Agustus 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/owner.v3i2.170

Abstract

This research purpose to determine the accuracy among Altman, Zmijewski, Grover, and the Fulmer models in predicting financial distress, and to determine the most accurate prediction models to use in Trade and Service company. With the accuracy of the overall prediction model of 89.4%, this research will compare the four prediction models using real conditions of the company. The Data that used in this research are all form of annual financial reports published by companies on the Indonesia Stock Exchange website. The population used is Trade and Service’s company listed on the Indonesia Stock Exchange for the period 2013-2017. Purposive sampling used in this research to obtain 34 companies as research sample. This research compares four prediction models of financial distress using logistic regression analysis. According to the result of this research shows the accuracy between the Altman, Zmijewski, Grover, and Fulmer models to predict financial distress, which the highest level of accuracy is achieved by Zmijewski model and Fulmer model with a value of 100%, followed by Grover model with a value of 97% while Altman model with a value of 73,5%.
Ketepatan Altman Score, Zmijewski Score, Grover Score, dan Fulmer Score dalam menentukan Financial Distress pada Perusahaan Trade and Service Munawarah Munawarah; Anton Wijaya; Cindy Fransisca; Felicia Felicia; Kavita Kavita
Owner : Riset dan Jurnal Akuntansi Vol. 3 No. 2 (2019): Owner Volume 3 Nomor 2 Agustus 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (601.238 KB) | DOI: 10.33395/owner.v3i2.170

Abstract

This research purpose to determine the accuracy among Altman, Zmijewski, Grover, and the Fulmer models in predicting financial distress, and to determine the most accurate prediction models to use in Trade and Service company. With the accuracy of the overall prediction model of 89.4%, this research will compare the four prediction models using real conditions of the company. The Data that used in this research are all form of annual financial reports published by companies on the Indonesia Stock Exchange website. The population used is Trade and Service’s company listed on the Indonesia Stock Exchange for the period 2013-2017. Purposive sampling used in this research to obtain 34 companies as research sample. This research compares four prediction models of financial distress using logistic regression analysis. According to the result of this research shows the accuracy between the Altman, Zmijewski, Grover, and Fulmer models to predict financial distress, which the highest level of accuracy is achieved by Zmijewski model and Fulmer model with a value of 100%, followed by Grover model with a value of 97% while Altman model with a value of 73,5%.