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8 results for “M. A. Djauhari”
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Research ArticleOpen accessIn the author namesProduction of Immunologically Active Untagged Recombinant DENV-2 NS1 in Escherichia coliDessy Natalia, Christian Heryakusuma, Fernita Puspasari et al.Dengue is an infectious disease affecting 390 millions people in tropical and subtropical region annually. Dengue virus NS1 protein plays an important role in viral replication in the host cell and it is detected in high level in the infected patient serum. A synthetic gene of untagged DENV-2 NS1 with codons optimization for expression in Escherichia coli has been generated … …American Journal of Biochemistry and Biotechnology, Vol. 14, Issue 3 · 10 Oct 2018 · 10,348 accessesView PDFCite
Research ArticleOpen accessIn the author namesModeling Positive Time Series Data: A Neglected Aspect in Time Series CoursesMaman A. Djauhari, Lee Siaw Li, Rohayu Mohd SallehSomething has been forgotten in time series courses, in particular, when dealing with positive datasets. To describe the pattern hidden in this type of datasets, before we use a sophisticated method of modeling such as Autoregressive Integrated Moving Average (ARIMA), we propose to check first whether the data represent a Geometric Brownian Motion (GBM) process. If it is affirmative, unlike … …American Journal of Applied Sciences, Vol. 13, Issue 7 · 1 Jul 2016 · 7,536 accessesView PDFCite
Research ArticleOpen accessIn the author namesMODEL BUILDING FOR AUTOCORRELATED PROCESS CONTROL: AN INDUSTRIAL EXPERIENCEM. A. Djauhari, S. L. Lee, Z. IsmailWe show that many time series data are governed by Geometric Brownian Motion (GBM) law. This motivates us to propose a procedure of time series model building for autocorrelated process control that might consist of two steps. First, we test whether the process data are governed by GBM law. If it is affirmative, the appropriate model is directly given by … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 29 Mar 2014 · 6,628 accessesView PDFCite
Research ArticleOpen accessIn the author namesNetwork Topological Property of English Dialects Similarity: A Robust Filter ApproachMaman Abdurachman Djauhari, Gan Siew LeeWe show that the common approach to use of Minimum Spanning Tree (MST) to filter the information contained in a complex system of English dialects similarity is not robust. Later on we propose a robust filter based on the forest of all possible MSTs. To illustrate the advantages of this filter, Morgan’s data on English dialects similarity is analyzed and … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 17 Jun 2013 · 6,593 accessesView PDFCite