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All Journal Jurnal Investasi Islam BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer
M. Fauzan
STIKOM Tunas Bangsa Pematangsiantar
Computer Science & IT Economics, Econometrics & Finance

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PENGARUH DANA PIHAK KETIGA DAN MODAL SENDIRI TERHADAP PEMBIAYAAN MURABAHAH M. Fauzan
Jurnal Investasi Islam Vol 2 No 1 (2017): Jurnal Investasi Islam
Publisher : FEBI IAIN Langsa

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Abstract

This study discusses the influence of the third party funds and private capital towards the amount of murabahah financing at PT. BPRS Al-Yaqin. The purpose is to know the influence between the third party funds and private capital against the amount of murabahah financing at PT. BPRS Al-Yaqin. Sample in this research is financial report of PT. BPRS Al-Yaqin period 2013-2015 derived from the financial statements of PT. BPRS Al-Yaqin. Multiple linear regressions are used as an analytical technique. The results showed that the dependent variable of financing amount can be explained by independent variable that is the third party fund and private capital equal to 0.585 or 58% and the rest (42%) explained other variable outside variable used. Simultaneously, the third party fund and private capital variables have a positive influence on the distribution of financing fund based on F test where Fcount> Ftable (14.127 > 3.331) with the significant level of 0.000 <0.05.
Penerapan Algoritma Backpropagation dalam Memprediksi Hasil Panen Tanaman Sayuran Dio Hutabarat; Solikhun; M. Fauzan; Agus Perdana Windarto; Fitri Rizki
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 2 No 1 (2021): March
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (424.68 KB) | DOI: 10.37148/bios.v2i1.18

Abstract

This study aims to see the development of the number of vegetable crop yields in the following year. With this prediction, it is hoped that it can help the government and the community to be more careful in increasing the supply of crop stocks in order to meet the food needs of the people of Simalungun Regency. The data source is obtained from the Central Bureau of Statistics. In this study, researchers used the Backpropagation Algorithm. The Backpropagation Algorithm is an algorithm that functions to reduce the error rate by adjusting the weight based on the desired output and target. The results of this study show that the best architectural model is the 2-1-1 model with an accuracy rate of 75.0% and an epoch of 1392 iterations in 00:07 seconds. This research is expected to be a reference material in other studies that have the same research object and as a consideration for the government in making an even more accurate evaluation system
Co-Authors Agus Perdana Windarto Dio Hutabarat Fitri Rizki Solikhun