References
- Adler, D.. 1993. Genetic algorithms and simulated annealing: a marriage proposal. IEEE, 1104–1109.
- Bruins, M., Rahim, Z., Bos, A., Van De Sande, W. W. J., Endtz, H. Ph., and Van Belkum, A.. 2013. Diagnostic of active tuberculosis by e-nose analysis exhaled air. Tuberculosis 93 2: 232–238.
- Charibaldi dan, N., and Harjoko, A.. 2013. Telaah Pustaka Ciri dan Metode – metode Mycobacterium Tuberculosis. Indonesia Journal of Electronics and Instrumentation Systems 3 1: 47–60.
- Dahlan, M.S.. 2010. Besar Sampel dan Cara Pengambilan Sampel dalam Penelitian Kedokteran dan Kesehatan. Edisi ke 3, Salemba Medika, Jakarta.
- Elly, M. I., Jatmiko, W., and Tjan, B.. 2013. Electrocardiogram for biometrics by using Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ): integrating feature extraction and classification. International Journal on Smart Sensing and Intelligent Systems 6 5: 1891–1016.
- Fend, R., Kolk, A. H. J., Bessant, C., Buijtels, P., Klatser, P. R., and Woodman, A. C.. 2006. Prospects for clinical application of electronic-nose technology to early detection of mycobacterium tuberculosis in culture and Sputum. Journal of Clinical Microbiology 44 6: 2039–2045.
- Gibson, T., Kolk, A., Reither, K., Kuipers, S., Hallam, V., Chandler, R., Dutta, R., Maboko, L., Jung, J., and Klatser, P.. 2009. Predictive detection of tuberculosis using electronic nose technology, CP1137, olafaction and electronic nose. Proceedings of the 13th International Symposium, April 15-17, Brescia: 473–474.
- Hardoyono, F., Triyana, K., and Iswanto, B.H.. 2015. Rapid discrimination of Indonesian herbal medicines by using electronic nose base on array of commercial gas sensors. Applied Mechanics and Materials 771: 209–212.
- James, G.M.. 2007. Curve alignment by moments. The Annals of Applied Statistics 1 2: 480–501.
- Johnson, R.A., and Winchern, D.W.. 2011. Applied Multivariate Statistical Analysis, Prentice-Hall International Inc., 1998, in: Febriyana, “Analisis Klaster K-Means dan K-Median pada Indikator Kemiskinan”, Skripsi, UIN Syarif Hidayatullah, Jakarta.
- Kolk, A. H. J., Hoelscher, M., Maboko, L., Jung, J., Kuiper, S., Cauchi, M., Bessant, C., Van Beers, S., Dutta, R., Gibson, T., and Reither, K.. 2010. Electronic-nose technology using sputum samples in diagnosis of patients with tuberculosis. Journal of Clinical Microbiology 48 11: 4235–4238.
- Kuhn, M., and Johnson, K.. 2013. Applied Predictive Modeling, Springer-Verlag, New York, NY, USA.
- Kusumadewi dan, S., and Hartati, S.. 2010. Neuro-Fuzzy Integrasi Sistem Fuzzy dan Jaringan Syaraf, 2nd ed., GrahaIlmu, Yogyakarta.
- Kusumoputro, B., Widyanto, MR., Fanany, MI., and Budiarto, H.. 1999. Improvement of artificial odor discriminant system using fuzzy-LVQ neural network. Proceeding of Third International Conference on Computational Intelligence and Multimedia Applications ICCIMA, September 23-26, New Delhi: 474–478.
- Kusumoputro, B., and Jatmiko, W.. 2002. Recognition of odor mixture using fuzzy-LVQ neural networks with matrix similarity analysis. Proceeding of Asia Pacific Conference on Circuits and System APCCAS, October 28-31, Denpasar: 57–62.
- Kusumoputro, B., Jatmiko, W., and Krisnadhi, AA.. 2002. Sistem Penciuman Elektronik Menggunakan Algoritma FLVQ dan Analisa Matriks Similaritas untuk Mengenal Aroma Campuran. Prosiding Ilmu Komputer dan Teknologi Informasi 3 1: 246–250.
- Maysam, J., and Mahdi, M.. 2016. Comparison of predictive models for the early diagnosis of diabetes. Healthcare Informatics Research, April 2: 95–100.
- Pavlou, A. K., Magan, N., Jones, J. M., Brown, J., Klatser, P., and Turner, A. P. F.. 2004. Detection of Mycobacterium Tuberculosis (TB) in vitro and in situ using an electronic nose in combination with a neural network system. Biosensor and Bioelectronics 20, 3: 538–544.
- Phillips, M., Basa-Dalay, V., Bothamley, G., Cataneo, R. N., Lam, P. K., Natividad, M. P. R., Schmitt, P., and Wai, J.. 2010. Breath biomarkers of active pulmonary tuberculosis. Tuberculosis 90 2: 145–154.
- Polikar, R., Shinar, R., Honavar, V., Udpa, L., and Porter, M. D.. 2001. Detection and identification of odorants using an electronic nose. IEEE 5: 3137–3140.
- Smith, S.W.. 1999. The Scientist and Engineer’s Guide to Digital Signal Processing, 2nd ed., California Technical Publishing, San Diego, CA.
- Wang, Y., and Liu, L.. 2014. New intelligent classification method based on improved MEB algorithm. International Journal on Smart Sensing and Intelligent Systems 7 1: 72–95.
- Widodo, T.S.. 2005. Sistem Neuro Fuzzy untuk Pengolahan Informasi, Pemodelan, dan Kendali, 1st ed., GrahaIlmu, Yogyakarta.
- Zhou, L., He, X., He, D., Wang, K., and Qin, D.. 2011. Biosensing technologies for mycobacterium tuberculosis detection: status and new development. Clinical and Developmental Immunology 2011 1: 1–8.