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All Journal JURNAL AKUNTANSI, MANAJEMEN DAN EKONOMI Teknomatika (Jurnal Teknologi dan Informatika)
Kevin Susanto
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance

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Pengenalan Pola Huruf pada Kata dengan Menggunakan Algoritma Backpropagation dan Hybrid Feature Novan Wijaya; Kevin Susanto; Jefry
Teknomatika Vol 9 No 02 (2019): Teknomatika Vol 09 No 02 September 2019
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer PalComTech

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

With the advancement of information technology today, especially in the process of writing words and sentences where a person will be easier in the process of writing using hands and neat but the writing process carried out at this time also cannot be abandoned. Some activities require us to use handwriting manually such as making statement letters or other important documents. In the implementation that will be carried out on the system of letter pattern recognition in words using handwriting will produce a lower level of accuracy compared to the introduction made on systems that is in computers such as Times New Roman, Calibri, and so on. By using Hybrid Features extraction and backpropagation algorithm, it is expected to reduce problems in the process of recognizing one's handwriting pattern. To get a feature pattern, Hybrid Features extraction used from diagonal features, x and y axis gradients and averages are used. The feature will be used is artificial neural networks with the backpropagation algorithm. The test parameters used are the accuracy of the number of written images recognized by the system. Based on models' performance tests, the highest accuracy was 93.86% for uppercase letters with 45 datasets, 80.46% with 30 datasets for lowercase letters and 78.205 with 45 datasets for all letters. The testing of the program made obtained an accuracy value of 72.92% for the image of the new word, 83.33% for the image of the new letter and 82.56% for the image of the letter that had been studied.
PENGARUH CASH POSITION, DEBT TO ASSET RATIO DAN FIRM SIZE TERHADAP DIVIDEND PAYOUT RATIO PADA PERUSAHAAN PROPERTI DAN REAL ESTATE YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2014-2018 Vina Vina; Jesslyn Kosasih; Kevin Susanto; Fuji Astuty
Jurnal Akuntansi, Manajemen dan Ekonomi Vol 22 No 3 (2020): Vol. 22, No. 3, 2020
Publisher : Faculty of Economics and Business, Jenderal Soedirman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/1.jame.2020.22.3.3116

Abstract

The purpose of this study is to determine and test the effect of Cash Position, Debt to Asset Ratio and firmsize on the Dividend Payout Ratio in Property and Real Estate companies listed on the Indonesia Stock Exchange for the period 2014-2018. This research is a quantitative research and the deductive approach is descriptive. The total population is 52 property & real estate companies on the IDX for the period 2014-2018. The sample technique uses purposive sampling so that the research sample that meets the criteria is as many as 13 companies. The data collection method used secondary data from financial reports, while the data analysis model was multiple regression. The results of the F test, namely Cash Position, Debt to Asset Ratio and Firm Size have an effect on the Dividend Payout Ratio. As individuals, Cash Position has a positive effect on the Dividend Payout Ratio, DAR has no effect on the Dividend Payout Ratio and Firm Size has a negative effect on the Dividend Payout Ratio. The value of determination coefficient as seen from Adjusted R2 is 0.435, which shows that the Dividend Payout Rate can be influenced by Cash Position, Debt to Asset Ratio and Firm Size of 43.5%, and 56.5% are other factors that are not shown in this research report.
PENGARUH CASH POSITION, DEBT TO ASSET RATIO DAN FIRM SIZE TERHADAP DIVIDEND PAYOUT RATIO PADA PERUSAHAAN PROPERTI DAN REAL ESTATE YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2014-2018 Vina Vina; Jesslyn Kosasih; Kevin Susanto; Fuji Astuty
Jurnal Akuntansi, Manajemen dan Ekonomi Vol 22 No 3 (2020): Juli - September 2020
Publisher : Faculty of Economics and Business, Jenderal Soedirman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/1.jame.2020.22.3.3116

Abstract

The purpose of this study is to determine and test the effect of Cash Position, Debt to Asset Ratio and firmsize on the Dividend Payout Ratio in Property and Real Estate companies listed on the Indonesia Stock Exchange for the period 2014-2018. This research is a quantitative research and the deductive approach is descriptive. The total population is 52 property & real estate companies on the IDX for the period 2014-2018. The sample technique uses purposive sampling so that the research sample that meets the criteria is as many as 13 companies. The data collection method used secondary data from financial reports, while the data analysis model was multiple regression. The results of the F test, namely Cash Position, Debt to Asset Ratio and Firm Size have an effect on the Dividend Payout Ratio. As individuals, Cash Position has a positive effect on the Dividend Payout Ratio, DAR has no effect on the Dividend Payout Ratio and Firm Size has a negative effect on the Dividend Payout Ratio. The value of determination coefficient as seen from Adjusted R2 is 0.435, which shows that the Dividend Payout Rate can be influenced by Cash Position, Debt to Asset Ratio and Firm Size of 43.5%, and 56.5% are other factors that are not shown in this research report.
Co-Authors Fuji Astuty Jefry Jesslyn Kosasih Novan Wijaya Vina Vina