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Antibiotik Empirik di Intensive Care Unit (ICU) Aditya, Ricky; Kestriani, Nurita Dian; Maskoen, Tinni T.
Majalah Anestesia dan Critical Care Vol 34 No 1 (2016): Februari
Publisher : Perdatin Pusat

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Abstract

Penemuan jenis antibiotik baru diimbangi dengan penemuan resistensi dari bakteri tersebut terhadap beberapa obat.Secara garis besar, antibiotik dibagi menjadi tiga golongan berdasarkan cara kerja, spektrum, dan efek bakterisidal.Terapi antibiotik terhadap pasien kritis merupakan hal yang menjadi perhatian di dunia akibat tingginya mortalitasdan morbiditas. Aspek efektifitas terapi terus menjadi perhatian akibat peningkatan kebutuhan ruang Intensive CareUnit. Kontrol infeksi dan pemilihan antibiotik yang sesuai merupakan intervensi utama dan harus menjadi prioritasdalam manajemen pasien kritis. Pengetahuan mengenai farmakokinetik dan farmakodinamik antibiotik merupakanfaktor yang esensial karena penentuan dosis antibiotik berkaitan dengan keluaran pasien kritis. Perubahan padavolume of distribution dan clearance antibiotik pada pasien kritis mungkin berefek pada target konsentrasi obatdalam serum. Hal ini menjadi bukti bahwa parameter pharmacokinetics (PK)/pharmacodynamics (PD) berperanterhadap efek obat yang terkait dengan keluaran pasien dan resistensi. Kata kunci: Antibiotik, farmako dinamik, farmako kinetik, ICU, pasien kritis The discovery of new types of antibiotic resistance offset by the discovery of bacteria to multiple drugs. In general,antibiotics are divided into three groups based on the spectrum shape, and the bactericidal effect. Antibiotictherapy for critically ill patients is a concern in the world due to the high mortality and morbidity. Aspects of theeffectiveness of therapy remains a concern due to the increasing needs of the ICU. Pemilihian infection controland appropriate antibiotic is a major intervention and should be a priority in the management of patients in criticalcondition. Knowledge of the pharmacokinetics (PK) and pharmacodynamics (PD) of antibiotics is essential todetermine the doses of antibiotics related to production factor of critically ill patients. Changes in the volumeof distribution and clearance of antibiotics in critically ill patients may have an effect on a target serum drugconcentrations. This is proof that the PK/PD parameter contribute to the effects associated with the drug and theoutput resistance of the patient. Key words: Antibiotic, Critical patients, ICU, pharmacodynamis, pharmacokinetis Reference Davies, JD. Origins and Evolution of Antibiotic Resistance. Microbiology and Molecular Biology Reviews, 2010;74(3): 417–33. Waksman, SA. What is an Antibiotic or an Antibiotic Substance?. Mycoglia. 1947; 39(5):565–9. Bruton, LL., Chabner AB., & Knollmann CB. Goodman and Gilman’s The Pharmacological Basis of Therapeutics, 12th ed. California: McGraw-Hill Education, 2010. Aminov, RI. A Brief History of the Antibiotic Era: Lessons Learned and Challenges for the Future. Frontier in Microbiology. 2010;1(134). Davies, J. & Davies D. Origins and Evolution of Antibiotic Resistance. Microbiology and Molecular Biology Review.2010;74(3). Saga, T. & Yamaguchi, K. History of Antimicrobial Agents and Resistant. Research and Reviews.2009;52(2). Kohanski MA, Dwyer DJ, Collins JJ. How Antibiotics Kill Bacteria: from Target to Network. Microbiology.2010;8(1). Mitchigan State University. Antimicrobial Resistence Learnig Site Pharmacology. 2011, Diakses pada 28 Oktober 2015 dari: http://amrls.cvm.msu.edu . Roberts, JA. & Jeffrey L. Pharmacokinetic Issues for Antibiotics in the Critically Ill Patient. Continuing Medical Education Article: Concise Definite Review. 2009;37(3):540–51. McKellar, QA., SF. Sanchez Bruni, & DG. Jones. Pharmacokinetic/Pharmacodynamic Relationship of Antimicrobial Drugs Used in Veterinary Medicine. Journal of Veterinary Pharmacology and Therapeutics. 2004;27:503–14. Finberg, RW. & Guharoy R. Clinical Use of Anti-infective Agents: A Guide on How to Prescribe Drugs Used to Treat Infections. Springer Science & Business Media, LLC. 2012. p. 5–13 Maramba-Lazarte, CC. Determining Correct Dosing Regimens of Antibiotics Based on the Their Bacterial Activity. Pediatric Infectious Disease Society of the Philippines Journal, 2010;11(2):44–9. Levison, ME. & Levison JH. Pharmacokinetics and Pharmacodynamics of Antibacterial Agent. Infectious Desease Clinical North America, 2009;24(3):791–830. Bennet, PN. Brown, MJ. Clinical Phamacology, 9th ed. Spain: Elvisier, 2003.
Measuring privacy leakage in term of Shannon entropy Aditya, Ricky; Skoric, Boris
International Journal of Applied Sciences and Smart Technologies Volume 01, Issue 02, December 2019
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (723.568 KB) | DOI: 10.24071/ijasst.v1i2.1882

Abstract

Differential privacy is a privacy scheme in which a database is modified such that each user?s personal data are protected without affecting significantly the characteristics of the whole data. Example of such mechanism is Randomized Aggregatable Privacy-Preserving Ordinal Response (RAPPOR). Later it is found that the interpretations of privacy, accuracy and utility parameters in differential privacy are not totally clear. Therefore in this article an alternative definition of privacy aspect are proposed, where they are measured in term of Shannon entropy. Here Shannon entropy can be interpreted as number of binary questions an aggregator needs to ask in order to learn information from a modified database. Then privacy leakage of a differentially private mechanism is defined as mutual information between original distribution of an attribute in a database and its modified version. Furthermore, some simulations using the MATLAB software for special cases in RAPPOR are also presented to show that this alternative definition does make sense.
Analysis of Shopee Pay Digital Payment Adoption in Jakarta with Innovation Diffusion Theory Aditya, Ricky; Rivaldi, Rahmad; Al Mizan, Rama; Romadhon, Ismi Amalia; Nofitra, Muhammad Ilham
Economic Education and Entrepreneurship Journal Vol 7, No 1 (2024): Economic Education and Entrepreneurship Journal (E3J)
Publisher : FKIP Universitas Lampung

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Abstract

The increase in internet users has significantly impacted people's behaviour patterns in making payment transactions from offline to online. One of the dominating online or digital payment systems with a large number of e-wallet users and frequency is Shopee Pay. The dominance of this application, which quickly outperforms its competitors, is inseparable from its users' good acceptance of something new. Technological diffusion theory explained how an innovation is adopted over time by examining the decision to adopt the process. Therefore, this research aimed to determine the factors affecting Shopee Pay services adoption in Jakarta.Data were collected from 100 Shopee Pay users in Jakarta. The descriptive statistics and statistical data analysis using Smart PLS software were carried out for outer and inner model analysis and hypothesis testing. The results showed that Relative Advantage, Observability and Perceived Risk significantly affect adoption. In contrast, Compatibility, Complexity, and Trialability have an insignificant effect on adoption. Number of respondent, coverage area of the survey and period of research. Future research is expected to be able to use other models besides the Diffusion of Innovation Theory to better identify other additional factors capable of affecting the adoption of Shopee Pay digital payment services and Shopee Pay digital payment is recommended to offer services that are more compatible with various lifestyle needs and beliefs to meet the expectations of current users. This survey has difference with previous research because of adoption level of digital payment specifically focus on Shopee Pay then using Innovation Diffusion Theory as model of research.Keywords: Information Technology Adoption, Digital Payment, Innovation Diffusion TheoryDOI: http://dx.doi.org/10.23960/E3J/v7i1.18-27 
Analysis Soft System Methodology of Digital MSME Development in DKI Jakarta Aditya, Ricky; Z.Rusfian, Effy; Fitriati, Rachma
Indonesian Journal of Islamic Economics and Business Vol. 9 No. 2 (2024): Indonesian Journal of Islamic Economics and Business
Publisher : Fakultas Ekonomi dan Bisnis Islam UIN STS Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/ijoieb.v9i2.2766

Abstract

This study employs the Soft System Methodology (SSM) to analyze and develop strategies for the digitalization of Micro, Small, and Medium Enterprises (MSMEs) in DKI Jakarta. Given the significant role of MSMEs in Indonesia's economy, contributing 61% to the Gross Domestic Product and employing 97% of the workforce, their integration into the digital landscape is crucial. The research highlights existing challenges, such as limited digital literacy, constrained access to capital, and inadequate product standardization, and identifies opportunities for enhancing MSME competitiveness through digital tools. By applying SSM, the research constructs a conceptual model to address these challenges, emphasizing stakeholder collaboration among government, academia, and the private sector. The findings offer a strategic framework for effective digital transformation, aiming to improve efficiency and foster sustainable economic growth.
Analysis of Shopee Pay Digital Payment Adoption in Jakarta with Innovation Diffusion Theory Aditya, Ricky; Rivaldi, Rahmad; Al Mizan, Rama; Romadhon, Ismi Amalia; Nofitra, Muhammad Ilham
Economic Education and Entrepreneurship Journal Vol 7, No 1 (2024): Economic Education and Entrepreneurship Journal (E3J)
Publisher : FKIP Universitas Lampung

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

Abstract

The increase in internet users has significantly impacted people's behaviour patterns in making payment transactions from offline to online. One of the dominating online or digital payment systems with a large number of e-wallet users and frequency is Shopee Pay. The dominance of this application, which quickly outperforms its competitors, is inseparable from its users' good acceptance of something new. Technological diffusion theory explained how an innovation is adopted over time by examining the decision to adopt the process. Therefore, this research aimed to determine the factors affecting Shopee Pay services adoption in Jakarta.Data were collected from 100 Shopee Pay users in Jakarta. The descriptive statistics and statistical data analysis using Smart PLS software were carried out for outer and inner model analysis and hypothesis testing. The results showed that Relative Advantage, Observability and Perceived Risk significantly affect adoption. In contrast, Compatibility, Complexity, and Trialability have an insignificant effect on adoption. Number of respondent, coverage area of the survey and period of research. Future research is expected to be able to use other models besides the Diffusion of Innovation Theory to better identify other additional factors capable of affecting the adoption of Shopee Pay digital payment services and Shopee Pay digital payment is recommended to offer services that are more compatible with various lifestyle needs and beliefs to meet the expectations of current users. This survey has difference with previous research because of adoption level of digital payment specifically focus on Shopee Pay then using Innovation Diffusion Theory as model of research.Keywords: Information Technology Adoption, Digital Payment, Innovation Diffusion TheoryDOI: http://dx.doi.org/10.23960/E3J/v7i1.18-27