scholarly journals Predicting Movement of Stock of Apple Inc. using Sutte Indicator

2017 ◽  
Author(s):  
Ansari Saleh Ahmar
Keyword(s):  
Decision Making ◽  
Moving Average ◽  
Investment Decision ◽  
Technical Analysis ◽  
Percentage Error ◽  
Decision Making Process ◽  
Mean Absolute Deviation ◽  
Absolute Deviation ◽  
Investment Decision Making ◽  
The Mean

The purpose of this study is to apply technical analysis e.g. Sutte Indicator in Stock Market that will assist in the investment decision-making process to buy or sell of stocks. This study took data from Apple Inc. which listed in the NasdaqGS in the period of 1 January 2008 to 26 September 2016. Performance of the Sutte Indicator can be seen with comparison with other technical analysis e.g. Simple Moving Average (SMA) and Moving Average Convergence/Divergence (MACD). Comparison of the reliability of prediction from Sutte Indicator, SMA, and MACD using the mean of square error (MSE), mean absolute deviation (MAD) and mean absolute percentage error (MAPE).

scholarly journals Kajian Adaptive Neuro-Fuzzy Inference System (ANFIS) Dalam Memprediksi Penerimaan Mahasiswa Baru Pada Universitas Buana Perjuangan Karawang

2021 ◽  
Vol 6 (1) ◽  
pp. 44-54
Author(s):  
Tatang Rohana Cucu
Keyword(s):  
Error Rate ◽  
Fuzzy Inference ◽  
Percentage Error ◽  
Hybrid Technique ◽  
Mean Absolute Deviation ◽  
Absolute Deviation ◽  
Inference System ◽  
Neuro Fuzzy ◽  
New Students ◽  
The Mean

Abstract - The process of admitting new students is an annual routine activity that occurs in a university. This activity is the starting point of the process of searching for prospective new students who meet the criteria expected by the college. One of the colleges that holds new student admissions every year is Buana Perjuangan University, Karawang. There have been several studies that have been conducted on predictions of new students by other researchers, but the results have not been very satisfying, especially problems with the level of accuracy and error. Research on ANFIS studies to predict new students as a solution to the problem of accuracy. This study uses two ANFIS models, namely Backpropagation and Hybrid techniques. The application of the Adaptive Neuro-Fuzzy Inference System (ANFIS) model in the predictions of new students at Buana Perjuangan University, Karawang was successful. Based on the results of training, the Backpropagation technique has an error rate of 0.0394 and the Hybrid technique has an error rate of 0.0662. Based on the predictive accuracy value that has been done, the Backpropagation technique has an accuracy of 4.8 for the value of Mean Absolute Deviation (MAD) and 0.156364623 for the value of Mean Absolute Percentage Error (MAPE). Meanwhile, based on the Mean Absolute Deviation (MAD) value, the Backpropagation technique has a value of 0.5 and 0.09516671 for the Mean Absolute Percentage Error (MAPE) value. So it can be concluded that the Hybrid technique has a better level of accuracy than the Backpropation technique in predicting the number of new students at the University of Buana Perjuangan Karawang.   Keywords: ANFIS, Backpropagation, Hybrid, Prediction

Financial Appraisal and the IS/IT Investment Decision Making Process

1998 ◽  
Vol 13 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Joan Ballantine ◽  
Stephanie Stray
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Capital Investment ◽  
Investment Decision ◽  
Decision Making Process ◽  
It Investment ◽  
It Investments ◽  
Investment Appraisal ◽  
Investment Decision Making ◽  
Financial Appraisal

This paper explores the techniques used by organizations to appraise Information Systems (IS)/Information Technology (IT) investments, and concentrates, in particular, on techniques of capital investment appraisal. We draw on relevant studies reported in both the accounting and finance, and the IS literature, which have addressed their usage. Where possible comparisons are drawn between both sets of literatures. The results of a survey that specifically examined IS/IT investment appraisal practices of a sample of UK companies is also presented. Among the issues discussed include the extent to which capital investment appraisal techniques are used to appraisal investments, the importance of the techniques used and the problems attendant on the decision making process.

Role of Financial Statement in Investment Decision Making Process

2020 ◽  
Vol 9 (1) ◽  
pp. 105-108
Author(s):  
Suraj Bhujel
Keyword(s):  
Decision Making ◽  
Investment Decision ◽  
Financial Statements ◽  
Vital Role ◽  
Financial Statement ◽  
Quality Information ◽  
Decision Making Process ◽  
Investment Decision Making

It is believed that financial statements are the key documents for any organizations for the investment decision making. Investment decision making depends upon the quality information obtained by the various sources and it is concluded in this research which is based on the findings that financial statement plays a vital role in investment decision making and recommends that no investment decision should be taken without the consideration of a company’s financial statements.

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