Florentinus, Dika Octa RiswantoAbdul, RohmanSuwidjiyo, PramonoSudibyo, Martono2020-10-162020-10-162019-10Florentinus Dika Octa Riswanto, Abdul Rohman, Suwidjiyo Pramono, Sudibyo Martono. Application of response surface methodology as mathematical and statistical tools in natural product research. Journal of Applied Pharmaceutical Science. 2019 Oct; 2019 Oct: 125-1332231-3354http://imsear.searo.who.int/handle/123456789/210475Response Surface Methodology (RSM) models combined with experimental designs became popular in recentyears. Their advantages to analyze the interactive effects among different factors and the efficiency considerationsencouraged more researchers to conduct natural product research employed with these models. A review about basicprinciples of factorial designs, central composite designs, Box–Behnken designs, and Doehlert designs which utilizedalong with the RSM and their applications in natural product research is presented. The objective of this reviewwas to report various experimental design techniques and their applications in the field of natural product research.Furthermore, the characteristic of each design is also presented and the trends of RSM applications in natural productresearch are also discussed in this paper.Box–Behnken designcentral composite designDoehlert designfactorial designresponse surface methodology.Journal ArticleIndiaDepartment of Pharmacy, Faculty of Pharmacy, Sanata Dharma University, Campus III Paingan, Maguwoharjo, Depok, Sleman,  Yogyakarta 55282 IndonesiaDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Gadjah Mada University, Yogyakarta, 55281, Indonesia.Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Gadjah Mada University, Yogyakarta, 55281, IndonesiaDepartment of Pharmaceutical Biology, Faculty of Pharmacy, Gadjah Mada University, Yogyakarta, 55281, IndonesiaDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Gadjah Mada University, Yogyakarta, 55281, Indonesia