ANALISIS AKTIVITAS ANTI BAKTERI EKSTRAK BENALU DARI BEBERAPA INANG TERHADAP PERTUMBUHAN BAKTERI PENYEBAB TYPHUS DENGAN METODE FUZZY LOGIC

Authors

  • Yulia Fatmi Teknik Komputer dan Informatika, Politeknik Negeri Medan

Keywords:

Fuzzy logic, fuzzy logic analysis of medicinal plants, fuzzy logic applications.

Abstract

Typhoid disease or better known as typhoid fever is a disease that can strike anyone, both children and adults, in Indonesia typhoid fever is a disease that causes high mortality rate. Treatment of typhoid fever itself can be done through a medical procedure. In addition there are also types of medicinal plants that can be used as an alternative treatment, one of which is Scurulla Sp. Its chemical content, efficacy / usefulness and side effects have not been studied scientifically. This study is focused to determine the inhibitory of the Scurulla Sp extract to the development of thypi monela cells that cause typhus. In this paper will discuss anti-bacterial activity based on three input variables i.e. the host of the Scurulla Sp, a solvent and as a test medium and output variable with no value and high.

References

RI, DEPKES. 2005. Profil Kesehatan Indonesia 2004. Jakarta. Depkes RI.

http://finance.detik.com/moneter/2821929/axa-mandiri-gandeng-perusahaan-perancis-beri-vaksin-tifus-gratis

Dzulkarnain, B., Sundari, D., dan Chozin, A. 1996. Tanaman Obat Bersifat Antibakteri di Indonesia. Cermin Dunia Kedokteran.110:35-42.

Agrios George N. 1996. Ilmu Penyakit Tumbuhan. Yogyakarta: Gadjah Mada University Press.

Dalimartha seriawan. 2006. Atlas tumbuhan obat Indonesia jilid 4. Jakarta. Pusa swara.

Widodo. 2006. Buku Ajar Ilmu Penyakit Dalam. Jakarta: Pusat Penerbitan Departemen Ilmu Penyakit Dalam FKUI Hal 1774-9.

WHO.2003. Treatment and Prevention of Typhoid Fever (Cited 2012 Juni 25). Available From:http//www.who.int

Santoso,H.B. 2008. Ragam dan Khasiat Tanaman Obat, Sehat Alami dari Halaman Asri. Jakarta: Agromedia.

http://www.herbalisnusantara.com/files/buku-penelitian-tanaman-obat-no-09-diterbitkan-tahun-1998.pdf

Zadeh A Lotfi A. 1965. Fuzzy sets and systems, In: Fox J, editor. System Theory. Brooklyn, NY: Polytechnic Press: 29–39.

Andari, Rr. Dini Rusmiyati.2009. Aplikasi Fuzzy Database Evaluasi Kinerja Pegawai di SMK Negeri 02 Bangkalan Menggunakan JSP.www.eepisits.edu/ uploadta/downloadmk.php?id=933.

http://digilib.its.ac.id/public/ITS-Undergraduate-17430-Paper-774280.pdf

Bhuvaneswari,V and Brintha.S.J. (2012). “Microarray Gene Expression Analysis Using Type 2 Fuzzy Logic”. International Journal of Computer Science, Engineering and Applications (IJCSEA) Vol.2, No.2

http://ebook-gratis007.blogspot.co.id/2013/08/fuzzy-ebook-download.html

Kusumadewi, Sri dan Purnomo, Hari. 2010. Aplikasi Logika Fuzzy Untuk Pendukung Keputusan. Yogyakarta: Graha Ilmu.

Widodo, Thomas. 2005. Sistem Neuron Fuzzy untuk Pengolahan Informasi, Pemodelan dan Kendali. Yogyakarta: Graha Ilmu.

Kusumadewi, Sri. 2003. Artificial Inteligence (Teknik dan Aplikasinya). Yogyakarta : Graha Ilmu.

Naba, Agus. 2009. Belajar Cepat Fuzzy Logic Menggunakan Matlab. Yogyakarta : Andi Offset

Kusumadewi, Sri. 2010. Neuron-Fuzzy Integrasi Sistem Fuzzy dan Jaringan Syaraf Tiruan Edisi 2. Yogyakarta: Graha Ilmu.

Kusumadewi, Sri dan Retantyo, Harjoko, Agus. 2006. Fuzzy Multi-Atribute Decision Making (Fuzzy Madm). Yogyakarta: Graha Ilmu.

Herrer, Fransisco. (2005). “Genetic Fuzzy systems: Status, Critical Considerations and Future Direction”. International Journal Of Computational Intelligence Research, ISSN 0973-1873 vol.1 (pembentukan logika fuzzy if then)

Nasution, Pebriana.2013, Aktivitas antibakteri ekstrak daun benalu (scurulla sp) yang tumbuh pada beberapa inang terhadap pertumbuhan salmonella typhi, Skripsi, Universitas Negeri Riau

Subagiyo., Setyati, W.A., dan Ridlo, Ali. 2005. Uji Bioaktivitas Ekstrak Batang Tumbuhan Benalu Mangrove (Cassytha Filiformis) dan Uji Anti Bakteri. Jurnal Ilmu Kelautan. 10(1):35-40.

Nidhi Mishra Dr. P. Jha, December 2014, “ A Review On The Applications Of Fuzzy Expert System For Disease Diagnosis”. ISSN: 2278-6252. http://www.garph.co.uk/IJAREAS/Dec2014/4.pdf

M. Mayilvaganan dan K.Rajeswari, Jul-Aug 2014, “Health Care Analysis Based On Fuzzy Logic Control System”. International Journal of Computer Science Trends and Technology (IJCST) – Volume 2 Issue 4. http://citeseerx.ist.psu.ed

K.Soundararajan, Dr.S.Sureshkumar, C.Anusuya, June 2012, ” Diagnostics Decision Support System for Tuberculosis using Fuzzy Logic”. ISSN: 2249-955. Vol. 2, No.3

Mirza Mansoor Baig, Hamid Gholamhosseini dan Michael.j. Harrison, January 2012, “Fuzzy Logic Based Smart Anaesthesia Monitoring System in the Operation Theatre”. E-ISSN: 2224-266X Issue 1, Volume 11

Pabbi, January 2015, “ Fuzzy Expert System for Medical Diagnosis”. ISSN 2250-3153 Volume 5, Issue 1

Downloads

Published

2017-07-19