Social interaction in adolescents in the modern era is influenced by several factors in life, one of which is addiction to playing online games. This study aims to determine the relationship between factors addicted to playing online games on social interaction in teenagers. The data used in this study are primary data which are the results of questionnaires. The data processing technique used in this study is canonical correlation analysis. The sample in this study were adolescents aged 13 to 21 years and living in the city of Denpasar, with a total sample of 150 adolescents. The results showed that the addiction factor playing online games had a significant effect of 0.0000019 on social interaction in adolescents with a close relationship of 0.8058964.

The TLC profiles of intra- and inter-day precision for Piper betle L. (PBL) folium methanol extract was studied for their peak marker recognition and identification. The Numerical chromatographic parameters (NCPs) of the peak markers, the hierarchical clustering analysis (HCA) and the principal component analysis (PCA) were applied to authenticate the PBL. folium extract from other Piper species folium extract and to ensure the antifungal activity quality of the PBL essential oil. The spotted extract was developed with the mobile phase of toluene: ethyl acetate; 93:7, (v/v). The eluted plate was viewed with the TLC-Visualizer, scanned under absorption and fluorescent mode detection, and on each sample the in-situ UV spectra were recorded between 190 to 400 nm.The NCPs profiles of intra- and inter-day precision results offered multi-dimensional chromatogram fingerprints for better marker peak pattern recognition and identification. Using the r-value fingerprints data series generated with this method allowed more precise discrimination the PBL. from other Piper species compared to the marker peak area fingerprint method. The cosine pair comparison was a simple method for authentication of two different fingerprints. The ward linkage clustering and the pair cross-correlation comparison were better chemometric methods to determine the consistency peak area ratio between fingerprints. The first component PCA-loading values of peak marker area fingerprints were correlated linearly to both the bio-marker concentration as well as the antifungal activity. This relationship could be used to control the quality and pharmacological potency. This simple method was developed for the authentication and quantification of herbal medicine.

The quality control of herbal medicine should be started from the determination of the active substance at harvest time. The Raman spectrometry has been used for this propose. The aim of this study is to determine the quantification of curcumin in turmeric rhizome (Curcuma longa Linn.) using Raman spectroscopy combined with multivariate analysis of PLSR that are expected to provide reference method for quality control in turmeric rhizome, especially for raw materials of Herbal drugs. Parameters that can be used for analysis of curcumin levels on turmeric rhizome obtained using intensity Raman signal and the data obtained from the standard method will be processed with multivariate analysis methods PLSR. The validation value of quantification result using Raman-PLSR is seen from R 2 value of 0.957, RMSEC value of 0.199 and p-value of 0.00. The study showed the developed method could be implemented on to determine the prediction quantification of raw material herbal medicine.

The graduate profile shows the competencies of the graduate. Not all students are able to complete their studies within the specified study period. Some students are threatened with dropping out (DO) because within the maximum time limit given, which is 7 years for undergraduate degrees, they are still unable to complete their studies. This condition has a negative impact on student graduation on time which negatively affects to the assessment of study program accreditation. To anticipate this condition, it is necessary to know what obstacles students made they are unable to complete their studies on time. The information obtained can be used as a guide in anticipating no more students exceeds study period. The purpose of this study was to determine the graduation of undergraduate students of FMIPA Udayana University and the factors that influence student graduation. The research sample was taken using purposive sampling technique of FMIPA, Udayana University graduation period January 2002 to January 2019. Data analysis used statistics descriptive and exploratory factor analysis. The graduation data of FMIPA undergraduate students, there was 2710 students, 2190 (81%) was able to complete studies no more than five years and 514 students (19%) more than five years. There is significant dependency between study period with gender and study program. There are two intellectual factors that influence student graduation not on time, namely the knowledge and skills factor with an explainable diversity of 63.2%.

Poisson regression was used to analyze the count data which Poisson distributed. Poisson regression analysis requires state equidispersion, in which the mean value of the response variable is equal to the value of the variance. However, there are deviations in which the value of the response variable variance is greater than the mean. This is called overdispersion. If overdispersion happens and Poisson Regression analysis is being used, then underestimated standard errors will be obtained. Negative Binomial Regression can handle overdispersion because it contains a dispersion parameter. From the simulation data which experienced overdispersion in the Poisson Regression model it was found that the Negative Binomial Regression was better than the Poisson Regression model.