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All Journal AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan JURNAL ILMIAH MANAJEMEN BISNIS DAN TERAPAN Fokus Bisnis Kubik Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MANAJEMEN MOTIVASI Inovasi : Jurnal Ekonomi, Keuangan, dan Manajemen Agregat: Jurnal Ekonomi dan Bisnis BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Ekonomi dan Bisnis Jurnal Ilmiah Akuntansi dan Keuangan KUBIK: Jurnal Publikasi Ilmiah Matematika Jurnal Bisnis, Manajemen, dan Akuntansi Journal of International Conference Proceedings Euclid Journal of Data Science Theory and Application JCSE: Journal of Community Service and Empowerment Indonesian Journal of Accounting and Governance
Windasari, Wahyuni
Universitas Putra Bangsa
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : Jurnal Ilmiah Akuntansi dan Keuangan

 1 
Analisis Teknikal Harga Saham Waskita Karya Tahun 2017 dengan Metode ARIMA Windasari, Wahyuni
JIAK : Jurnal Ilmiah Akuntansi dan Keuangan Vol 7 No 1 (2018): JIAK
Publisher : P4M STIE Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (350.479 KB) | DOI: 10.32639/jiak.v7i1.270

Abstract

As an investor needs to do an analysis before making a decision either in selling or buying shares. Security analysis consist of two types of analysis, namely tecnical analysis and fundamental analysis. Technical analysis to test wheater historical data will predict stock prices as a consideration to buy or sell an investment's instrument. One type of technical analysis is the ARIMA method. In this research uses daily stock price of WSKT Tbk during 1 Januari–10 Oktober 2017 to predict stock prices the few days. The best ARIMA model to describe WSKT stock price movement is MA(4), with MAE predict data is 480.25.Key words : forecasting, ARIMA, technical analysis, stock prices.
IMPLEMENTASI MODEL FINANSIAL DISTRES PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI IDX TAHUN 2015-2017 Zakiyah, Tuti; Windasari, Wahyuni
JIAK : Jurnal Ilmiah Akuntansi dan Keuangan Vol 9 No 1 (2020): JIAK
Publisher : P4M STIE Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1311.278 KB) | DOI: 10.32639/jiak.v9i1.330

Abstract

Manufacturing Company is a sample of this study, the dependent variable used in this study is a binary variable, namely whether the company is in financial distress or non-financial distress. Hypothesis testing uses binary logistic regression (Binary Logistic Regression) because the dependent variable is a combination of metric and non-metric (nominal). The model used is the Altman Z-Score model, Springate S-Score, Grover G-Score, Zmijewski X-Score, and univariate models. Of the five models, the best model is the Springate S-Score with a Nagelkerke R2 value of 0.582. the second is, Zmijewski X-Score with a value of 0.227 and the third best is the Univariate Model with a value of 0.042. Of the three best models, namely the Springate S-Score, Zmijewski X-Score and the Univariate Model. The implementation is that the ratios in these models are very important to be considered by companies as a sensitivity tool so that companies do not experience financial distress. ratios that are often used are ratios related to the company's ability to manage and produce net working capital, sales, debt and ability to generate profits from sales and profits from assets.
Analisis Teknikal Harga Saham Waskita Karya Tahun 2017 dengan Metode ARIMA Wahyuni Windasari
JIAK : Jurnal Ilmiah Akuntansi dan Keuangan Vol 7 No 1 (2018): JIAK
Publisher : P4M STIE Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/jiak.v7i1.270

Abstract

As an investor needs to do an analysis before making a decision either in selling or buying shares. Security analysis consist of two types of analysis, namely tecnical analysis and fundamental analysis. Technical analysis to test wheater historical data will predict stock prices as a consideration to buy or sell an investment's instrument. One type of technical analysis is the ARIMA method. In this research uses daily stock price of WSKT Tbk during 1 Januari–10 Oktober 2017 to predict stock prices the few days. The best ARIMA model to describe WSKT stock price movement is MA(4), with MAE predict data is 480.25.Key words : forecasting, ARIMA, technical analysis, stock prices.
Implementasi Model Finansial Distres Pada Perusahaan Manufaktur Yang Terdaftar di IDX Tahun 2015-2017 Tuti Zakiyah; Wahyuni Windasari
JIAK : Jurnal Ilmiah Akuntansi dan Keuangan Vol 9 No 1 (2020): JIAK
Publisher : P4M STIE Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/jiak.v9i1.330

Abstract

Manufacturing Company is a sample of this study, the dependent variable used in this study is a binary variable, namely whether the company is in financial distress or non-financial distress. Hypothesis testing uses binary logistic regression (Binary Logistic Regression) because the dependent variable is a combination of metric and non-metric (nominal). The model used is the Altman Z-Score model, Springate S-Score, Grover G-Score, Zmijewski X-Score, and univariate models. Of the five models, the best model is the Springate S-Score with a Nagelkerke R2 value of 0.582. the second is, Zmijewski X-Score with a value of 0.227 and the third best is the Univariate Model with a value of 0.042. Of the three best models, namely the Springate S-Score, Zmijewski X-Score and the Univariate Model. The implementation is that the ratios in these models are very important to be considered by companies as a sensitivity tool so that companies do not experience financial distress. ratios that are often used are ratios related to the company's ability to manage and produce net working capital, sales, debt and ability to generate profits from sales and profits from assets.
Co-Authors AA Sudharmawan, AA Anis Rahayu Kabul Trifiyanto Kabul Trifiyanto Ma'rifah, Diana Nur Khasanah Pradani, Augistri Putri Putri Pradani, Augistri Siti Nur Azizah, Siti Nur Trifiyanto, Kabul Tuti Zakiyah Tuti Zakiyah Tuti Zakiyah Tuti Zakiyah Zakiyah, Tuti