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PENDAMPINGAN SOCIAL BEHAVIOUR TERAPHY DAN CLASSICAL CONDITIONING TERAPHY PADA KOMUNITAS PEDULI ANAK AUTIS Sangidatus Sholiha; Hadi Pranoto; Al Um Aniswatun Khasanah
ABDI KAMI: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2024): (Oktober 2024)
Publisher : LPPM Institut Agama Islam (IAI) Ibrahimy Genteng Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69552/abdi_kami.v7i2.2612

Abstract

The purpose of this service is to provide support and assistance to children with autism through the implementation of Social Behavior Therapy and Classical Conditioning Therapy. The methods used in implementing this service involve counseling based on counseling service cards, seminars, workshops, and pre-tests and post-tests to measure the effectiveness of the program. The results of the service showed that 85% of parents and caregivers were satisfied with the program, and there was a significant increase in the social skills and adaptive behavior of children with autism. The sustainability of this program is supported by intensive training for caregivers and parents, which ensures consistent application of therapy. This program is expected to be a model for other communities in implementing behavioral therapy for children with autism, creating a more supportive and inclusive environment for them in the future.
Application of Structural Equation Modeling (SEM) to Analyze the Factors Influencing Purchase Decisions of Lampung Traditional Handicraft Products in Gunung Sugih Ahmad Imron; Sangidatus Sholiha; Fajri Arif Wibawa
Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Vol. 8 No. 2 (2026): Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/alkharaj.v8i2.10995

Abstract

This study examines factors influencing consumer purchase decisions for traditional handicraft products in Lampung, where local cultural potential has not been fully transformed into economic strength due to weak marketing strategies. Using a quantitative causal approach, data were collected from 100 respondents through convenience sampling and analyzed with PLS-SEM using SmartPLS 4. The results indicate that product quality, uniqueness, service quality, and digital marketing have a significant positive effect on purchasing decisions, while price does not show a significant influence. The model explains 68.1% of the variance in buying behavior, demonstrating strong predictive power. The findings suggest that consumers prioritize uniqueness, quality, and effective digital marketing over price considerations. This study contributes to educational and entrepreneurial development by providing practical insights for marketing strategy formulation. entrepreneurship education, digital marketing learning, and product creativity, while supporting the application of marketing and entrepreneurship theories in educational and practical contexts.
Application of the Double Exponential Smoothing Brown Method in Forecasting the Number of Poor Population Intan Utami; Ana Istiqomah; Sangidatus Sholiha
Sciencestatistics: Journal of Statistics, Probability, and Its Application Vol. 4 No. 1 (2026): JANUARY
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/sciencestatistics.v4i1.11069

Abstract

Poverty is a socio-economic issue that requires policy planning based on accurate forecasting. This study uses the Brown Double Exponential Smoothing method to forecast the number of poor people in Metro City for the period 2026-2030, using data from 2005-2025 obtained from BPS. The analysis was conducted using a trial and error method for the alpha (α) parameter ranging from 0.1 to 0.9 based on the smallest MAD, MSE, and MAPE values. The study results indicate that the optimal alpha parameter is α = 0.5 with a MAPE of 15.91231%, which indicates good accuracy. The forecast shows an increasing trend from 321.90 thousand people (2026) to 338.87 thousand people (2030), with an average increase of 4.24 thousand people per year. The results of this study can be used as a basis for planning poverty alleviation programs in Metro City.