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All Journal Decode: Jurnal Pendidikan Teknologi Informasi Indonesian Journal of Accounting and Governance
Nathaniel, Adriel
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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PROFITABILITY ANALYSIS USING THE DU PONT SYSTEM METHOD IN THE FAST-MOVING CONSUMER GOODS (FMCG) DISTRIBUTION SUBSECTOR OF GO PUBLIC COMPANIES IN PERIOD 2017-2021 Nathaniel, Adriel; Sugiarto, Bambang; Handayani, Sri
Indonesian Journal of Accounting and Governance Vol. 7 No. 2 (2023): DECEMBER
Publisher : School of Accountancy, University of Agung Podomoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36766/8k0ssa17

Abstract

The aim of this study is to analyze the profitability level of Fast-Moving Consumer Goods companies in the Retail and Distributor of Medicines (D111), Rental and Distributor of Food (D112), and Processed Food Distributors (D222) subsectors listed on the Indonesian Stock Exchange in the period 2017-2021 based on Du Pont system analysis. The Du Pont system is an analysis method used to show the interaction between Net Profit Margin (NPM), Total Asset Turnover (TATO), Return on Asset (ROA) and Equity Multiplier in determining the value of Return on Equity (ROE). This type of research is descriptive quantitative using the Du-Pont analysis method. The method used in this study is judgement sampling. Types of data and data sources use secondary data derived from financial statements published by companies that are samples of research and data from the Stock Exchange of Indonesia. Analysis shows that PT. Tigaraksa Satria Tbk has the highest profitability as a Fast-Moving Consumer Goods subsector distribution company. The company's ROE from 2017 to 2020 is higher than the industry average, by 2019 has increased and decreased by 2021. PT. Wicaksana Overseas International Tbk became a Fast-Moving Consumer Goods subsector distribution company with the lowest profitability performance of the five samples, based on an analysis carried out by the company's ROE from 2017 to 2020 experienced a decline below the industry average and by 2021 a decrease slightly above the industrial average.
Analysis of Hospitals' Perceptions of the Implementation of Blockchain Technology in Medical Data Management Nathaniel, Adriel; Wijaya, Bayu Angga; Gurusinga, Andre Apriandi; Gultom, Yoan Pahrul; Sianturi, Eldo Jan Parulian
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 6 No. 2: JULI 2026
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v6i2.1697

Abstract

Medical data management in hospitals requires a system capable of maintaining the security, integrity, and confidentiality of patient data due to the high risk of leakage, input errors, and difficulties in exchanging information between hospitals. Blockchain technology is one of the innovations that has the potential to improve the security and transparency of medical data management. This research focuses on analyzing the perception of hospitals on the benefits of implementing blockchain technology in medical data management. The approach applied in this study is quantitative descriptive with a pre-test and post-test scheme through the distribution of questionnaires to health workers and related staff. The data were processed using descriptive statistical methods to identify changes in perception before and after providing an understanding of blockchain technology. The results showed an increase in the average perception of respondents from 3.07 to 4.18, indicating an increase in understanding and acceptance of the technology. In general, this study shows that blockchain technology has the potential to improve security, transparency, efficiency, and implementation readiness in the management of medical data in hospitals.
Co-Authors Bambang Sugiarto Bayu Angga Wijaya Gultom, Yoan Pahrul Gurusinga, Andre Apriandi Handayani, Sri Sianturi, Eldo Jan Parulian