Addiction to online games is an excessive behavior to play online games that have an impact on the formation of maladaptive behavior, not in accordance with the norms prevailing in the community. Counseling behavioral modeling techniques is one of the services that are considered appropriate to overcome online game addiction problems. The purpose of this study is to determine whether counseling behavioral modeling techniques can be applied to overcome online game addiction in children aged 10 years. The type of research used by researchers is the type of single subject research, using the A-B research design (A = baseline condition, B = intervention condition). A-B shows two stages of design; A is baseline data (pretest) and B is intervention (posttest). The results showed that behavioral counseling modeling techniques were effective for reducing online game addiction in children aged 10 years.Abstrak: Kecanduan game online merupakan perilaku berlebihan untuk melakukan permainan secara online yang berdampak terhadap pembentukan perilaku maladaptif, tidak sesuai norma yang berlaku di masyarakat. Konseling behavioral teknik modelling merupakan salah satu layanan yang dipandang tepat untuk mengatasi permasalahan kecanduan game online. Tujuan dari penelitian ini adalah untuk mengetahui apakah konseling behavioral teknik modelling dapat diterapkan untuk mengatasi kecanduan game online pada anak usia 10 tahun. Jenis penelitian yang dipakai peneliti adalah jenis penelitian singel subjek, dengan menggunakan desain penelitian A-B (A=kondisi baseline, B=kondisi intervensi). A-B menunjukkan dua tahapan dari desain; A adalah data baseline (pretest) dan B adalah intervensi (posttest). Hasil penelitian menunjukkan bahwa konseling behavioral teknik modelling efektif untuk menurunkan kecanduan game online pada anak usia 10 tahun.

The purpose of this study is to test the ability of the Autoregressive Integrated Moving Average (ARIMA) model to predict the value of the Jakarta Composite Index (JKSE) which fluctuates greatly due to the Covid-19 pandemic. The population in this study is JKSE daily closing price data for the period January 2020 to April 2021, so the sample in this study is 324 time series data. The results showed that the best ARIMA model for predicting the value of the Jakarta Composite Index was ARIMA (3,1,9). ARIMA (3,1,9) can predict the JKSE value very well because the value of the forecasting results is not much different from the actual value. This is also evidenced by the results of the accuracy test using MAPE which has a result of 1,729 which means the accuracy of forecasting is 98,27%.

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The tourism sector is one of the sectors that drives the national economy and leading sector receives special attention from the government. The primary purpose of this study is to analyze the effect of social media Instagram, customer experience and electronic word of mouth to the tourists visiting decision at Alam Datuk Beach, Kuala Tanjung, Indonesia. This type of research is explanatory research. The population in this study were all visitors who became followers of the @wisataalamdatuk Instagram account. The sampling method used accidental sampling technique. The method of data collection was done by using a questionnaire technique. Data analysis method using structural equation model (SEM). The result of this study indicates that the social media Instagram and electronic word of mouth have a significant and positive effect on tourist visiting decision. Besides that, customer experience does not significant effect on tourist visiting decision. Also, the results of this study indicate that simultaneously social media Instagram, customer experience and electronic word of mouth have a significant effect on tourists visiting decision at Alam Datuk Beach, Kuala Tanjung, Indonesia.