The CICES Journal Governance Performance Improvement on Quality Of Current Issues (Case Study of  STMIK RAHARJA)

Sudaryono, Sudaryono; Rahardja, Untung; Apriani, Desy

doi:10.33050/atm.v3i1.578

Cited by 10 publications

(7 citation statements)

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“…Personalized drug discovery is the need of the hour as we can see multiple cases where acute situations can be tackled only when this objective is adequately addressed [14]. Although a significant advance has been made in microscopy, getting high-quality signals from these devices [15].…”

Section: Methods a Using Nanotechnology To Predict Personalized Drug ...mentioning

confidence: 99%

AI and Nanotechnology for Healthcare: A survey

Rawat

Bist

Supriyanti³

et al. 2022

ATM

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AI is today's wave of technology, and it caters to various problems. One of them is Nanotechnology. Nanotechnology is another thread of technology. The use of nanotechnology is well known, including in the health sector, cosmetic industry, and agriculture. The role of AI in healthcare is broad, from detecting lung disease to skin analysis. This study aims to explore healthcare possibilities by integrating AI and nanotechnology. The method of applying nanotechnology in the health sector uses a Nanomedicine Microscope. Nanomedicine is the medical application of nanotechnology used to diagnose, monitor, and control biological systems. Therefore, the author uses the Nanomedicine Microscope as the object in this study because the wonders of nanotechnology in various operations are also well established. The novelty in this paper focuses on AI and Nanotechnology together as possibilities for healthcare. AI and nanotechnology are two critical technologies. The ultimate goal is to integrate the uses and possibilities of these two technologies and do wonders in the healthcare domain. This study will benefit those working in AI and medicine. Nanotechnology integrating AI technology into the medical industry enables many conveniences, including task automation and analyzing large amounts of patient data for better, faster, and more affordable healthcare.

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Section: Methods a Using Nanotechnology To Predict Personalized Drug ...mentioning

confidence: 99%

AI and Nanotechnology for Healthcare: A survey

Rawat

Bist

Supriyanti³

et al. 2022

ATM

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“…The sample in this study is coal mining companies listed on the Indonesia Stock Exchange in 2017-2020, and it is known that there will be 22 companies in 2020. [20] Twelve companies meet the research criteria. The company's financial statements, namely 48 observations for four years.…”

Section: Data Analysis Methods a Descriptive Statisticsmentioning

confidence: 99%

Effect of Liquidity, Leverage, and Working Capital Turn on Profitability

Hidayat

Dewi

2022

ATM

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The purpose of this research is to analyze the effect of liquidity, leverage, and working capital turnover on profitability in coal mining companies listed on the Indonesia Stock Exchange from 2017 to 2020. The data used in this study is quantitative. The data used is secondary data. The Sampling technique used is purposive sampling, and there were 12 firms with research for four years; this obtained 48 observations. The data analysis method used in this study is Panel data regression analysis using reviews 9. The F test result is an F-statistic of 143.6753 > F Table (2.82) and a Prob (F-statistic) value of 0.000000 < 0.05, which means liquidity, leverage, and working capital turnover have a significant effect on profitability. The results of the liquidity t-test are a t statistic (1.198727) < t table (2.01537) and the value of Prob. 0.2371 > 0.05 means that liquidity has no significant effect on profitability. The results of the t-test leverage t statistic (20.47374) > t table (2.01537) and the value of Prob. 0.0000 > 0.05 means that leverage has a significant effect on profitability. The results of the t-test of working capital turnover t statistic (0.986827) < t table (2.01537) and the value of Prob. 0.3291> 0.05 means that working capital turnover has no significant effect on the profitability of coal mining sub-sector companies listed on the Indonesia Stock Exchange.

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“…Previous research discusses public behavior in general [18]. In addition, this study also adds a variable that is different from previous research, namely the use of ICT technology as a modification of the behavioral control variable component [19].…”

Section: Significance Of Writingmentioning

confidence: 99%

Factors That Influence The Intention of The Millennial Community to do Waqf With a Modification of Theory Planned Behavior Approach

Zawawi

Mariyanti

Sari³

2022

ATM

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This research aims to analyze the influence of variables knowledge, attitudes, religious commitment, subjective norm, and the use of ICT Technology significantly influence behavior through the intention of the millennial generation in waqf in Jabodetabek. The methodology used in this study is the Structural Equation Model with the variables of knowledge, attitudes, religious commitment, subjective norms, and ICT technology as independent variables; intention as moderating variable, and waqf behavior as the dependent variable. The primary data of this study was obtained through a questionnaire survey to 290 respondents obtained through purposive random sampling from the millennial generation aged 21-40 years who live in Greater Jakarta. Then the data was analyzed using SPSS and AMOS software. Based on the results of this study, it was learned that the variable of knowledge does not affect the behavior of waqf through the intention of the millennial generation. In contrast, the variables of attitude, commitment, subjective norms, and the use of ICT technology had a positive and significant effect on waqf behavior through the intention of the millennial generation. This shows that the millennial generation, although their knowledge does not affect behavior, attitudes, commitment, subjective norms, and the use of ICT technology, have a positive and significant effect on waqf behavior results of this study indicate that the variables attitudes, religious commitment, subjective norm, and the use of ICT Technology significantly influence behavior through the intention of the millennial generation in waqf in Jabodetabek. At the same time, knowledge does not affect that behavior. This study implies that measuring consumer behavior should be equipped with additional indicators, namely intention, to analyze the behavior based on external factors and spiritual and social aspects.

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The CICES Journal Governance Performance Improvement on Quality Of Current Issues (Case Study of STMIK RAHARJA)

Cited by 10 publications

References 0 publications

AI and Nanotechnology for Healthcare: A survey

AI and Nanotechnology for Healthcare: A survey

Effect of Liquidity, Leverage, and Working Capital Turn on Profitability

Factors That Influence The Intention of The Millennial Community to do Waqf With a Modification of Theory Planned Behavior Approach

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