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The Role Of Technology In Education Aang Solahudin Anwar; Bambang Mardisentosa; Alexander Williams
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 1 (2021): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i1.524

Abstract

Here modern technology is defined as knowledge that is transformed into products, processes, services and organizational structures. Technology is always juxtaposed with the term science. Science is a human effort to understand the phenomena and facts of nature, and to preserve that knowledge conceptually and systematically. While technology is a human effort to use science for the benefit and welfare. Because of this relationship, the development of science is always related to technological developments, and vice versa. The development of science and technology has an exponential characteristic, which is getting faster and faster, because the results of one stage become the basis and reason for the next stage. It is not surprising that not only is its development accelerating but the role of science and technology in modern society is increasing in importance. The development of science is active in all fields, namely health, agriculture, economics, social sciences, natural sciences and so on.
Influence Of Third Party Funds on Credit Distribution Husin; Cicilia Sriliasta Bangun; Toni Suhara; Nanda Septiani; Alexander Williams
ADI Journal on Recent Innovation Vol. 4 No. 1 (2022): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v4i1.749

Abstract

The purpose of this research is to identify the influence of Third-Party Funds, Non-Performing Loans (NPL), and Return on Assets on Credit Distribution. As well as the role of ROA which becomes mediation in PT. XYZ. This study uses samples in the form of publication balance sheet reports from PT. XYZ in the period 2019-2021. This research is a quantitative research using SEM PLS techniques through the help of smart pls 3.0 software. The results of the study found that DPK significantly affects PK, with a statistical T value of 6,556 > 1.96 and the original sample of -0.773. The absence of influence of NPL on PK due to its statistical T value of 0.868 < 1.96 and the original sample of -0.146 has a negative relationship to credit distribution. ROA has no direct influence on PK with a statistical T value of 0.006 < 1.96 and the original sample of -0.002 has a negative relationship meaning to PK. DPK had a significant negative influence on ROA with a statistical T value of 2,966 > 1.96 and the original sample of -0.657 having a negative relationship direction. There is no effect of NPL on ROA with a Statistical T value of 0.205 < 1.96 and the original sample of 0.056 has a positive relationship to ROA. NPL has no influence over PK through ROA mediation with its Statistical T value of 0.001<1.96.