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Classification Detection of Ftir And Xrd Spectrum on Thin Film of Lithium Tantalate With Arima Model On High Level Accuracy


Muhammad Nur Aidi, Irzaman
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Lithium tantalate (LiTaO3) is very good for electrooptical modulator and pyroelectric detector. Therefore, LiTaO3 detection was very important to get the deeper image of its material characteristics. LiTaO3 detection methods were such as X-ray powder diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR and were then modelled by Reietveld model or General Structure Analysis System (GSAS) which were based on reference pattern as comparison. ARIMA model could also be used as alternative. ARIMA model did not need reference pattern as comparison. ARIMA models classify XRD and FTIR data to autoregression non differencing models. ARIMA model for Lanthanum Oxide (0%, 5 %, 10 %) doped Lithium Tantalate FTIR were ARIMA (3,0,1), ARIMA (3,0,0), ARIMA (3,0,1) which are R2 value of ARIMA model which exceed 80% (94%, 94%, 97%). ARIMA model for Lanthanum Oxide (0%, 5 %, 10 %) doped Lithium Tantalate XRD were ARIMA (5,0,1), ARIMA (5,0,1), ARIMA (7,0,0) which are R2 value of 91%, 92%, 87%.ARIMA model for FTIR value was simpler and has lower MAPE than ARIMA model for XRD value. Lithium Tantalate doping with 5% and 10% Lanthanum Oxide could decrease the FTIR and XRD value control.

Muhammad Nur Aidi, Irzaman

Lithium Tantalate, Lanthanum Oxide, XRD, FTIR, ARIMA, Determinancy coeficiency (R2), MAPE

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Publication Details

Published in : Volume 4 | Issue 4 | March-April - 2018
Date of Publication Print ISSN Online ISSN
2018-03-31 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
18-50 IJSRSET1841426   Technoscience Academy

Cite This Article

Muhammad Nur Aidi, Irzaman, "Classification Detection of Ftir And Xrd Spectrum on Thin Film of Lithium Tantalate With Arima Model On High Level Accuracy", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 4, pp.18-50, March-April-2018.
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