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Technology Startups in Indonesia: Riding the Wave of Innovation and Investment Iskandar , Deni
Sinergi International Journal of Economics Vol. 2 No. 2 (2024): May 2024
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/economics.v2i2.163

Abstract

The success and expansion of technology companies in Indonesia are examined in this study, with a particular emphasis on the role played by infrastructure, the entrepreneurial ecosystem, government assistance, innovation, and investment. A survey-based quantitative analysis was carried out on a sample of 226 technology startups from different industries. Partial Least Squares (PLS) and Structural Equation Modeling (SEM) were used to examine the connections between the previously listed components. The results show that government support, innovation, infrastructure, the entrepreneurial ecosystem, and investment are all significantly positively correlated. Startups' capacity to attract investment is positively impacted by improved infrastructure, a friendly entrepreneurial ecosystem, efficient government policies, and an emphasis on innovation. The significance of creating a favorable atmosphere for innovation and startup development in Indonesia is highlighted by these findings, providing crucial insights for policy-makers and investors in fostering a thriving tech sector.
Potential Medication Errors in Electronic Prescribing in A Primary Health Care Nurfitria, Rizki Siti; Adillah Effendi , Rima Nur; Iskandar , Deni
Indonesian Journal of Pharmaceutical and Clinical Research Vol. 2 No. 1 (2019): Indonesian Journal of Pharmaceutical and Clinical Research
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (781.006 KB) | DOI: 10.32734/idjpcr.v2i1.1166

Abstract

An effort to reduce medication errors is to use drugs prescription electronically[1,2,4]. However, there needs to be an evaluation of this system, because this system is not free from errors in medication. This study aimed to find out the description of prescribing flow, to examine electronic prescription completeness, and find out the potential medication errors that occur in the prescribing phase of electronic prescription using prescribing indicators[1,5,9,10]. This study used observational method by taking general practice outpatient prescription data of March 2018 in a company health service located in Bandung and analyzed descriptively[6,7,8]. Electronic prescription of medicines at this health care was made and inputted by doctors. When an error occured on a computer system, the doctor would prescribe it manually so that the patient can still be served. Incompleteness of the most common recipe was on administrative requirements where all prescriptions did not listed the doctor's practice permit, patient's gender, patient's weight, telephone number of the place of practice, and patient's contact number. Medication errors had the most potential for the occurrence of prescription writing with two or more drugs interacting and this error was classified as category D according to The National Coordinating Council for Medication Error Reporting and Prevention (NCC-MERP).