9 research outputs found
Detecting P and S-wave of Mt. Rinjani seismic based on a locally stationary autoregressive (LSAR) model
No full textUJI HIPOTESA FUZZY DENGAN METODE P-VALUE FUZZY UNTUK BEBERAPA DISTRIBUSI
No full textThe character of Mathematics analysis system which is known until now is
too exact, so it cannot work properly in some daily problems especially if it�s
facing fuzzy concept. Fuzzy concept is an extension of classic concept.
Related to the problem of statistical hypothesis testing and fuzzy, in this
thesis will be discussed about a hypothesis which has fuzzy statement, so called fuzzy hypothesis. The problem solving is using p-value fuzzy method which is compared with fuzzy significance level. Data application is applied for some distributions, i.e. normal distribution, student-t and poisson. Conclusion of fuzzy hypothesis test is that it gives more rational decision than classic hypothesis test.
If fuzzy null hypothesis is not applicable for sample data, then the fuzzy null
hypothesis is rejected until certain degree, μ and fuzzy null hypothesis is accepted until certain degree that is 1-μ, with μ � [0,1]. So that the decision to reject or accept the hypothesis is not shown here, but it gives a clarification about how far the degree of refusing or accepting a fuzzy null hypothesis can be applicable for sample data
Uji Distribusi Normal Multivariat dengan Kendala Mean Terurut
No full textIn this thesis, the test ordered means of multivariate normal distribution
against all alternatives for case when the covariance matrices are known. Use the
likelihood ratio method and isotonic application, we obtain the test statistic and
study its null distribution. to propose the critical values and simulation study for
compute power of test and p-value from bivariate normal distribution
Reducing Hierarchical Clustering Instability Using Clustering Based on Indiscernibility and Indiscernibility Level
No full text
Penerapan Metode Naive Bayes Untuk Pengembangan Sistem Peringatan Dini Serangan Organisme Pengganggu Tanaman(OPT) Padi dengan Auto SMS
No full textThe focus of this research is to demonstrate how naive bayesian algorithm
may be used to provide early warnings for bout of rice plant disease. The
practitioner of artificial intelligence and machine learning algorithm will
recognize Naive Bayesian as one of the technique use to construct intelligent web
application. Naive Bayesian is widely use as an intelligent classifier utilized to
automatically classfies data based on statistical probability. Naive Bayesian is
able to 'learn' from experience by training it with sample data set to categorized
certain type data.
In this case, naive bayesian algorithm do statistical calculation depend on
the input variables are temperature, humidity and rainfall. Output expected is
early warnings for bout of rice plant disease using SMS Gateway. SMS Gateway
is a rapidly growing system because of the large need for effectiveness and
efficiency in sending and receiving information. SMS Gateway is implemented
using a mobile phone connected to a PC equipped with a database. With SMS
Gateway, SMS sent after filling mobile phone pulse, such as quizzes via SMS, or
other automated SMS notification, the potential benefits and can be easily
understood. Therefore, in implementing the SMS Gateway in this thesis, the
author uses NowSMS module is one kind of SMS Gateway modul
