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ANALISIS KOMUNIKASI DIGITAL BERBASIS MEDIA SOSIAL WHATSAPP PADA KELUARGA KELOMPOK GENERASI X DAN Z DI KOTA PADANG Yarisda, Viona Putri; Yaser, Mishbah El; Maharani, Tiara Andesya
Ensiklopedia of Journal Vol 7, No 4 (2025): Vol. 7 No. 4 Edisi 2 Juli 2025
Publisher : Lembaga Penelitian dan Penerbitan Hasil Penelitian Ensiklopedia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33559/eoj.v7i4.3306

Abstract

Abstract:This study explores the patterns of digital communication within the family between Generation X parents and Generation Z children through the use of WhatsApp. The research employed a qualitative approach with a descriptive method and data collection through in-depth interviews with informants from both generations. The findings indicate differences in orientation and communication intensity. Parents tend to use voice and video calls as more personal communication tools, while Generation Z is more active in using the chat feature, often accompanied by emoticons and stickers. In family WhatsApp groups, parents are more active in sharing information links, while children tend to respond passively due to concerns over content credibility. This disparity highlights a gap in digital literacy and communication preferences between generations, affecting the emotional effectiveness of family interactions. The study recommends improving shared digital literacy and developing inclusive family communication strategies to ensure harmonious and adaptive intergenerational communication in the digital era.Keywords: Family communication, WhatsApp, Generation X, Generation Z, Digital literacy
Exploring School Enrollment Trends in Indonesia Through Time Series Analysis to Inform Counselling and Communication Strategies Yollanda, Mutia; Weisha, Ghea; Pratiwi, Lidya; Putra, Ade Herdian; Putra, Robi Jaya; Yaser, Mishbah El
Counseling and Humanities Review Vol 5, No 1 (2025): Counseling and Humanities Review
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/0001299chr2025

Abstract

A time series analysis of School Enrollment Rates across different age groups in Indonesia from 2003 to 2024 was conducted using ARIMA modelling. Data were segmented into four age groups: 7 to 12, 13 to 15, 16 to 18, and 19 to 24 years. Stationarity testing required first-order differencing, and ARIMA models were selected based on autocorrelation and partial autocorrelation structures. The ARIMA(1,1,0) model showed the best fit for the younger groups, capturing the gradual and predictable participation trends influenced by long-term education policies and stable school enrollment patterns. Forecast accuracy was evaluated using Mean Absolute Percentage Error (MAPE) and Mean Squared Error (MSE), revealing excellent accuracy for ages 7 to 12 with MAPE 0.036 percent and MSE 0.001, and for ages 13 to 15 with MAPE 0.089 percent and MSE 0.008. Forecasts for ages 16 to 18 showed moderate accuracy, while results for 19 to 24 indicated greater variability. These findings inform the development of age-specific guidance counselling and public communication strategies to address distinct educational challenges. The study underscores the utility of interpretable forecasting models in supporting evidence-based education policy and planning.