PEMODELAN SISTEMINTERAKSI OBAT DENGANMENGGUNAKAN FUZZY INFERENCE SYSTEM DAN PARETO OPTIMALITY
Drug interactions is the interaction occurs between drugs that consumption simultaneously. Drug interactions can produce a good effect on patients, but not rarely produce adverse effects. Patients with diabetes and hypertension expected to control blood pressure and blood glucose levels to remain in...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2012
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| author | , Elena Yustina, S.T. , Prof. Drs. Subanar, Ph.D |
| author_facet | , Elena Yustina, S.T. , Prof. Drs. Subanar, Ph.D |
| author_sort | , Elena Yustina, S.T. |
| collection | UGM |
| description | Drug interactions is the interaction occurs between drugs that
consumption simultaneously. Drug interactions can produce a good effect on
patients, but not rarely produce adverse effects. Patients with diabetes and
hypertension expected to control blood pressure and blood glucose levels to
remain in normal circumstances, it is necessary to consider the use of
medications for both diseases in order to produce effective therapies.
Pareto optimality is a popular concept in the determination optimal
solution of multiobjective problems. In determining the optimal solution of
multiobjective problem should pay attention for each objective function,
frequently conflicting objective functions. The interaction of two drugs has two
objective function that is maximizing the positive effects and minimize negative
effects. So its use is necessary to find optimal solutions to achieve the expected
therapeutic. This research using Fuzzy Inference Sistem (FIS) to determine the
appropriate medication to keep blood pressure and blood glucose levels of
patients with hypertension and diabetes under control in normal and Pareto
optimality to determine drug optimal solution.
Fuzzy Inference System generates output choice of drug classes based on
fuzzy rules in accordance with the patient's disease condition. Pareto optimality
produces a pair solution for diabetes and hypertension drug that satisfy
thresholds the Minimum Effective Concentration (MEC) and Maximum Toxic
Concentration (MTC) of each drug. |
| first_indexed | 2024-03-13T22:39:08Z |
| format | Thesis |
| id | oai:generic.eprints.org:99430 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T22:39:08Z |
| publishDate | 2012 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:994302016-03-04T08:46:29Z https://repository.ugm.ac.id/99430/ PEMODELAN SISTEMINTERAKSI OBAT DENGANMENGGUNAKAN FUZZY INFERENCE SYSTEM DAN PARETO OPTIMALITY , Elena Yustina, S.T. , Prof. Drs. Subanar, Ph.D ETD Drug interactions is the interaction occurs between drugs that consumption simultaneously. Drug interactions can produce a good effect on patients, but not rarely produce adverse effects. Patients with diabetes and hypertension expected to control blood pressure and blood glucose levels to remain in normal circumstances, it is necessary to consider the use of medications for both diseases in order to produce effective therapies. Pareto optimality is a popular concept in the determination optimal solution of multiobjective problems. In determining the optimal solution of multiobjective problem should pay attention for each objective function, frequently conflicting objective functions. The interaction of two drugs has two objective function that is maximizing the positive effects and minimize negative effects. So its use is necessary to find optimal solutions to achieve the expected therapeutic. This research using Fuzzy Inference Sistem (FIS) to determine the appropriate medication to keep blood pressure and blood glucose levels of patients with hypertension and diabetes under control in normal and Pareto optimality to determine drug optimal solution. Fuzzy Inference System generates output choice of drug classes based on fuzzy rules in accordance with the patient's disease condition. Pareto optimality produces a pair solution for diabetes and hypertension drug that satisfy thresholds the Minimum Effective Concentration (MEC) and Maximum Toxic Concentration (MTC) of each drug. [Yogyakarta] : Universitas Gadjah Mada 2012 Thesis NonPeerReviewed , Elena Yustina, S.T. and , Prof. Drs. Subanar, Ph.D (2012) PEMODELAN SISTEMINTERAKSI OBAT DENGANMENGGUNAKAN FUZZY INFERENCE SYSTEM DAN PARETO OPTIMALITY. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=55680 |
| spellingShingle | ETD , Elena Yustina, S.T. , Prof. Drs. Subanar, Ph.D PEMODELAN SISTEMINTERAKSI OBAT DENGANMENGGUNAKAN FUZZY INFERENCE SYSTEM DAN PARETO OPTIMALITY |
| title | PEMODELAN SISTEMINTERAKSI OBAT DENGANMENGGUNAKAN
FUZZY INFERENCE SYSTEM DAN PARETO OPTIMALITY |
| title_full | PEMODELAN SISTEMINTERAKSI OBAT DENGANMENGGUNAKAN
FUZZY INFERENCE SYSTEM DAN PARETO OPTIMALITY |
| title_fullStr | PEMODELAN SISTEMINTERAKSI OBAT DENGANMENGGUNAKAN
FUZZY INFERENCE SYSTEM DAN PARETO OPTIMALITY |
| title_full_unstemmed | PEMODELAN SISTEMINTERAKSI OBAT DENGANMENGGUNAKAN
FUZZY INFERENCE SYSTEM DAN PARETO OPTIMALITY |
| title_short | PEMODELAN SISTEMINTERAKSI OBAT DENGANMENGGUNAKAN
FUZZY INFERENCE SYSTEM DAN PARETO OPTIMALITY |
| title_sort | pemodelan sisteminteraksi obat denganmenggunakan fuzzy inference system dan pareto optimality |
| topic | ETD |
| work_keys_str_mv | AT elenayustinast pemodelansisteminteraksiobatdenganmenggunakanfuzzyinferencesystemdanparetooptimality AT profdrssubanarphd pemodelansisteminteraksiobatdenganmenggunakanfuzzyinferencesystemdanparetooptimality |