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Assessment of antibiotics use after introducing a hospital formulary by ATC/DDD methodology Andrajati, Retnosari; Vlček, Jiři; Wahyudin, Iwan
Medical Journal of Indonesia Vol 13, No 3 (2004): July-September
Publisher : Faculty of Medicine Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (206.574 KB) | DOI: 10.13181/mji.v13i3.149

Abstract

The objective of this study is to compare the use of antibiotics at the Metropolitan Medical Center Hospital in Jakarta, Indonesia (MMCH), before and after the implementation of a hospital formulary. All antibiotic data under J01 Anatomical Therapeutic Chemical (ATC) classification were collected from pharmacy inpatient and outpatient records. Quantitative antibiotic use was expressed in Defined Daily Doses/100 bed-days (DDDs/hbd) for inpatients and DDDs/1000 patients/day (DDDs/tpd) for outpatients. The general quality of drug use was assessed in number of drugs that account for 90% of the use (DU90%) and the adherence to hospital formulary by substance and brand name within the DU90% segment. Quantitative and qualitative antibiotic use were compared before and after implementation of the formulary (1999 to 2000). The Wilcoxon rank sign test was used to compare overall antibiotic use. Inpatient antibiotic usage decreased significantly by 23.1%, 124.96 DDDs/hbd in 1999 to 96.13 DDDs/hbd during 2000 (p= 0.03) and outpatient antibiotic usage decreased insignificantly by 4.9%, 3.49 DDDs/tpd during 1999 to 3.32 DDDs/tpd during 2000 (p=0.58).The most commonly antibiotic use was ciprofloxacin in inpatient setting during the study and in out-patient setting was amoxicillin in 1999 and ciprofloxacin in 2000. The adherence to the formulary by substance and by brand name in inpatient department was 100% and 90.5% and in outpatient department was 100% and 94.3% during the study. DU 90% by substance name and by brand name was considerably not improved in both settings. The conclusion is that the effectiveness of one year formulary implementation at MMCH was only revealed in inpatient setting. (Med J Indones 2004; 13: 173-9) Keywords: antibiotic use, hospital formulary
Expert System to Diagnose Diabetes Using Web-Based Fuzzy Mamdani Method: Expert System to Diagnose Diabetes Using Web-Based Fuzzy Mamdani Method Alfiandy, Mohammad; Wahyudin, Iwan; Winarsih, Winarsih
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The aim of the system maker is to diagnose diabetes using a web-based fuzzy Mamdani method that is useful for detecting diabetes. Diabetes is also diabetes or diabetes. If the disease is not treated with proper treatment, it can cause various dangerous complications, and can even threaten the lives of sufferers. Implementation of an expert system to diagnose diabetes using web-based fuzzy mamdani aims to explore the symptoms displayed in the questions - questions in order to be able to diagnose various types of diabetes. This is from a research is a web-based expert system that can detect whether someone has diabetes what type. Based on testing the accuracy of the system, it can be concluded that with the fuzzy mamdani method is more accurate what type of diabetes. By using the PHP programming language with a MySQL database method the expert system used is fuzzy mamdani which is one part of the fuzzy inference system which is useful for drawing conclusions or the best decision in an uncertain problem, the Mamdani fuzzy concept is very flexible and has tolerance for inaccurate data based on language natural.
Customer Segmentation Using K-Means Algorithm As A Basis For A Marketing Strategy In The Store Rumah Tua VAPE: Customer Segmentation Using K-Means Algorithm As A Basis For A Marketing Strategy In The Store Rumah Tua VAPE Fadly, Rahmat; Wahyudin, Iwan; Winarsih, Winarsih
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The development of the industrial system at this time more and more. Competition in the business world is increasingly stringent and requires business people to create good marketing strategies, one of which utilizes transaction data from Old Vape store companies is a company engaged in the field of electronic cigarettes. But the lack of observation in choosing customer data is less effective. And to overcome this problem can use data clustering analysis using k-means algorithm. And clustering techniques are functional in data mining, data mining algorithms are grouping a lot of data into several data groups or clusters. The data used is taken from the Vape Old House Store customer data, which results in a type of data grouping, namely customer segmentation for basic strategies in the Vape Old House Store so that customer data is not in vain.
Expert System for Detecting TBC Disease Using Web-Based Fuzzy Mamdani Method (Lung TB): Expert System for Detecting TBC Disease Using Web-Based Fuzzy Mamdani Method (Lung TB) Ilham, Muhammad; Wahyudin, Iwan; Hidayatullah, Deny
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Along with advances in technology, the expert system greatly helps the performance of doctors in detecting diseases. The purpose of the expert system that was designed was to detect TB disease, this system was made to make it easier for users to find out TB disease information with symptoms experienced by people with TB symptoms. With the application of this expert system, it is expected to be able to overcome the problems experienced by doctors or experts in conducting consultations between doctors and patients. This system is designed using PHP programming with MySQL databases and the fuzzy mamdani method which helps build the system by assessing the input and output of the system implementation results. So resulting in an idea of the existing problem that the user can find out information on tuberculosis symptoms - symptoms experienced, while the admin can change the symptoms to be updated and replace the symptom code