Ali Sadikin
Fakultas Ekonomi Dan Bisnis Universitas Lambung Mangkurat

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Pengaruh Pengungkapan Enterprise Risk Management dan Kinerja Keuangan terhadap Return Saham Nur Putra Rakhmadani; Fifi Swandari; Ali Sadikin
Jurnal Ekonomi dan Manajemen Vol. 19 No. 3 (2018): Oktober
Publisher : Program Pascasarjana Universitas Gajayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (548.367 KB)

Abstract

This study aims to analyze the effect of ERM disclosure, Return On Assets (ROA) and Debt to Equity Ratio (DER) to stock returns on the property firms. Population in this study is 48  property company sub sector of property and real estate industry listed on Indonesia Stock Exchange during the period of 2012 to 2016. The sample method used was purposive sampling and the obtained samples are 33 property companies.The Data were analyzed using multiple linear regression analysis done by SPSS Version Program 23.00 for Windows. The results showed that: (1) Enterprise Risk Management disclosure does not affect the Stock Return. High ERM level does not affect stock return; (2) Return On Asset effect on Stock Return; and (3) Debt to Equity Ratio effect on Stock Return on property companies listed on Indonesia Stock Exchange period 2012-2016.
PENGARUH KURS, SUKU BUNGA SBI, LAJU INFLASI DAN HARGA EMAS TERHADAP INDEKS HARGA SAHAM PERTAMBANGAN Basuki Setiyo Widodo; Fifi Swandari; Ali Sadikin
JWM (JURNAL WAWASAN MANAJEMEN) Vol. 8 No. 1 (2020)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (195.291 KB) | DOI: 10.20527/jwm.v8i1.48

Abstract

The capital market can be an option for choice for the community to make investing. The Stock Price Index (IHS-Indeks Harga Saham) is a performance indicator that measures changes in prices of a market to know its performance. Many factors affect IHS, such as the state of the global economy, oil and gold prices, exchange and interest rates, inflation, and economic conditions of a country.During the observation period of 2015-2018, there was an increase and decrease phenomenon in the Stock Price Index of Mining (IHSP-Indeks Harga Saham Pertambangan) on the Indonesia Stock Exchange (BEI-Bursa Efek Indonesia), followed by other macroeconomic conditions. There are gaps in the results of previous studies in assessing this condition.This study is to analyse the effect of exchange rates, interest rates, inflation rates and gold prices on IHSP. This research is hoped to be useful as input for other researchers and information and consideration in investing in mining companies. The data in this research were monthly data from 2015 to 2018. Samples taken are all mining companies listed on the Stock Exchange during the study period, namely 49 companies. The data is analysed using multiple linear regression test. The results of the F test showed that the four independent variables simultaneously have a significant effect on IHSP.The exchange rate and the gold price had a significant positive effect on IHSP. The interest rate had a significant negative effect on IHSP, while inflation had a negative and not significant effect on IHSP.
PENGARUH FAKTOR FUNDAMENTAL MIKRODANMAKROEKONOMITERHADAPRETURNSAHAM Muhammad Aditiya Anshari; Fifi Swandari; Ali Sadikin
JWM (JURNAL WAWASAN MANAJEMEN) Vol. 7 No. 3 (2019)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (162.286 KB) | DOI: 10.20527/jwm.v7i3.55

Abstract

The purpose of this research is to analyze the fundamental factor of micro and macroeconomic whichare Return on Asset, Earning Per Share, Debt to Equity Ratio, inflation, rupiah exchange rate and interest rate of Bank Indonesia to stock return. This research used multiple linear regression analysis for the test. The populationis Consumer Goods Industry Company registered in Indonesian Stock Exchange in the period of 2013-2017 and they fulfilled the chosen sample criteria. Twenty three companies were used as sample. The data were collected by taking secondary data from annual report company in the period of 2013-2017 that were published at Indonesian Stock Exchange. The hypothesisof the research was tested by multiple linear regression. The results of the study with the coefficient of determination test (R2) concluded that the return of the consumer goods industry sector can be explained by the six independent variables of 9.6%. The F Test results in this study indicate that micro and macro economic variables (the rate of Return on Assets, Earning Per Share, Debt to Equity Ratio, inflation, rupiah exchange rate and interest rates of Bank Indonesia) as a whole have a signi fi cant effect. T test results The results of the analysis show that Earning Per Share and inflation affect stock returns. The Earning Per Share variable has a significance value of 0.038 smaller than 0.05. Then the inflation variable has a significance value of 0.020 smaller than 0.05. Whereas the other variables in this study are Return on Assets, Debt to Equity Ratio, rupiah exchange rate and Bank Indonesia interest rates that have no effect on stock returns.
PENERAPAN METODE SPRINGATE DALAM MENILAI KEBANGKRUTAN PADA SUBSEKTOR PERKEBUNAN DI LAHAN BASAH Ali Sadikin -; Fahmi Roy Dalimunthe
JWM (JURNAL WAWASAN MANAJEMEN) Vol. 10 No. 2 (2022)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1042.585 KB) | DOI: 10.20527/jwm.v10i2.206

Abstract

The purpose of this research to analyze and determine the application of the springate method in bankruptcy in the plantation sub-sector in wetlands listed on the Indonesian stock exchange for the 2017-2019 period. The total population of the study was 19 companies in the plantation sub-sector, while the number of samples was 14 companies using the porpusive sampling method. The results of this study indicate that in 2017 there were 6 plantation sub-sector companies that were predicted to experience Non-Financial Distress conditions and 8 companies were predicted to experience Financial Distress conditions. In 2018 there are 4 companies that are predicted to experience Non-Financial Distress conditions and 10 companies are predicted to experience Financial Distress conditions. In 2019, there were 2 plantation sub-sector companies that were predicted to experience Non-Financial Distress conditions and 12 that were predicted to experience Financial Distress conditions. Keywords: Springate method, Financial distress