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Discovering Drugs Combination Pattern Using FP-growth Algorithm Anggrainingsih, Rini; Rowi Khoirudin, Nach; Setiadi, Haryono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (443.323 KB)

Abstract

A drug can be used to deal more than one diseases and to deal an illness often need a combination of more than one drugs. This paper present how to discover a pattern of a combination of medicines related to a diagnosis of diseases using FP-Growth one of frequent pattern mining algorithm. We use FP- Growth because it has better performance than Apriori and Eclat. Data is collected from outpatients pharmacy of Sukoharjo state hospital, Central Java, Indonesia during January 2015 to June 2016 and obtain 526,195 records of prescription data and use a diagnosis of diseases base on the ICD-10 standard. This studies just apply on the top ten of the most frequently occurred illness in the outpatients services of Sukoharjo state hospital. Then the pattern of association between diseases and combination of drugs was reviewed by pharmacist committed to being validated. These studies result in some combination of medicines for to top ten of the most frequent diseases. We also found 21 similar combinations of drugs for various diseases. In the future, this finding can be used to provide suggestions to physicians to select an appropriate mix of the drug to deal some diseases.
Discovering Drugs Combination Pattern Using FP-growth Algorithm Anggrainingsih, Rini; Rowi Khoirudin, Nach; Setiadi, Haryono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (443.323 KB)

Abstract

A drug can be used to deal more than one diseases and to deal an illness often need a combination of more than one drugs. This paper present how to discover a pattern of a combination of medicines related to a diagnosis of diseases using FP-Growth one of frequent pattern mining algorithm. We use FP- Growth because it has better performance than Apriori and Eclat. Data is collected from outpatients pharmacy of Sukoharjo state hospital, Central Java, Indonesia during January 2015 to June 2016 and obtain 526,195 records of prescription data and use a diagnosis of diseases base on the ICD-10 standard. This studies just apply on the top ten of the most frequently occurred illness in the outpatients services of Sukoharjo state hospital. Then the pattern of association between diseases and combination of drugs was reviewed by pharmacist committed to being validated. These studies result in some combination of medicines for to top ten of the most frequent diseases. We also found 21 similar combinations of drugs for various diseases. In the future, this finding can be used to provide suggestions to physicians to select an appropriate mix of the drug to deal some diseases.
Perancangan Sistem Informasi Kepegawaian sebagai Pendukung Keputusan Daftar Urut Kepangkatan di Universitas Sebelas Maret dengan Metode RAD Damayanti, Retno Wulan; Hisjam, Muh.; Setiadi, Haryono
Performa: Media Ilmiah Teknik Industri Vol 7, No 1 (2008): PERFORMA Vol. 7, No. 1 Maret 2008
Publisher : Program Studi Teknik Industri, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.7.1.13762

Abstract

Compilation of Daftar Urut Kepangkatan (DUK) is one of the routine duty in human resource unit of Sebelas Maret University (UNS). Variable which must be paid attention in compilation of DUK are position, year of service, occupation practice, education and age. The change in structural PNS is very dynamic, so that DUK’s renewal done every months. Existence of some variable which must be paid attention in compilation of DUK and also the change in structural PNS UNS, hence needed of integrated information system so that DUK is up to date and valid. One of the information system development method by paying attention and desire requirement of consumer is Rapid Application Development (RAD). RAD method use approach of prototyping. Using this method, design of information system will be focused at desire requirement of human resource unit UNS.