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Training on the Utilization of Green Grass Jelly For Food and Beverage Ingredients: Participatory Training-Based Intervention Sutiharni Sutiharni; Dewi Handayani; Indriyani Indriyani; Najirah Umar; Mulono Apriyanto; Citra Indriyati; Bestfy Anitasar; Siti Rahmah Hidayatullah Lubis; Lukman Handoko
Jurnal Medika: Medika Vol. 4 No. 3 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/8z0kh213

Abstract

This community service program aimed to empower local communities by enhancing their knowledge and skills in utilizing green grass jelly (Cyclea barbata Miers) as an alternative ingredient for healthy food and beverage products. Conducted over three days, the training involved 12 participants with diverse backgrounds, including homemakers, youth, and micro-entrepreneurs. The program adopted a participatory training approach that combined theoretical knowledge with hands-on practice, including plant identification, jelly extraction techniques, hygiene practices, and product innovation. Pre- and post-training assessments revealed significant improvement in participants’ understanding and abilities. Initially, only 25% of participants were familiar with the plant's benefits and usage. After the training, 100% of participants demonstrated comprehension of the nutritional value and processing methods, and 75% successfully created product variants such as fruit-infused jelly drinks and herbal puddings. The training encouraged creativity and showed the potential of green grass jelly as a sustainable, low-cost, and health-promoting ingredient suitable for micro-entrepreneurial ventures. The program concluded that community-based food innovation training can serve as an effective model for promoting local resources, enhancing food security, and developing rural economies. It also emphasized the importance of combining traditional knowledge with modern food processing techniques to generate added value and marketable products.
Counseling on Safe Snacks for School Children in Indonesia and Malaysia Ari Setiawan; Muflihah Isnawati; Rauza Sukma Rita; Mulono Apriyanto; Arum Putri Rahayu
IMPACTS: International Journal of Empowerment and Community Services Vol. 3 No. 2 (2025)
Publisher : Faculty of Economics Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/impacts.v3i2.19471

Abstract

ABSTRACT Purpose ­ The aim of community service are: Providing provisions and insight to teachers and students on the importance of healthy food types for students, Providing insight into the dangers of indiscriminate snacking and unhealthy food, Providing insight into safe and healthy snack behavior, Increasing awareness of school residents to jointly choose healthy snacks and provide access and facilities for healthy snacks. Methods - This community service activity is carried out in the form of counseling / training containing material both online and offline to increase understanding of the importance of choosing healthy and nutritious snacks for school children. Training/counseling is a method or effort made by certain parties to increase the understanding of teachers or students by providing certain material in a planned and programmed manner. The stages of this training/counselling adapt the conceptual model. Health counseling is an activity to provide health education that has a method by disseminating messages and instilling confidence. So that people are not only aware, know, and understand but are also able to do or follow recommendations related to the health information Result and discussions - This service activity was responded well by both teachers and students because it proved to have a significant impact. Through counseling activities related to safe snacks for children, teachers and students gain additional knowledge and information related to healthy and nutritious snacks. In addition, they can find out the dangers of careless snacking. Both teachers and students felt happy and satisfied with this activity. Increasing awareness in choosing healthy snacks and taking preventive efforts and real steps to provide healthy snacks for students at school.Conclusion - Community service activities went well, smoothly and received a good response as seen from the participation of all teachers, students and partners. Teachers and students were very enthusiastic during the service and felt happy because they had increased their knowledge about safe types of snacks. This service also succeeded in opening the insights of teachers and students to be careful with the snacks available and try to bring provisions on certain days or optimize the role of the school canteen.
Integrating Climate Variables into Coconut Production Forecasting: A Comparative Analysis of ARIMA and ARIMAX Models for Climate-Informed Decision Support Hermiza Mardesci; Mulono Apriyanto; Dita Fitriani; Herman Farmi; Abdullah Abdullah
Journal of Applied Agricultural Science and Technology Vol. 10 No. 3 (2026): Journal of Applied Agricultural Science and Technology
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jaast.v10i3.558

Abstract

Coconut is a strategic plantation commodity in Padang Pariaman Regency, Indonesia, whose productivity is increasingly influenced by climate variability. Accurate, climate-responsive forecasting is therefore essential to support production planning and early warning systems. This study aims to develop and evaluate a climate-informed ARIMAX model for forecasting coconut production and assessing its potential application in an early warning framework. Annual coconut production data for 2014–2024 were combined with climate variables, including rainfall, temperature, humidity, wind speed, and the number of rainy days. A baseline ARIMA model was first identified, followed by ARIMAX modeling using Maximum Likelihood Estimation. Model selection was based on Akaike Information Criterion (AIC), while forecasting performance was evaluated using Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). The results showed that ARIMA(1,1,1) was identified as the optimal baseline model and achieved the lowest forecasting errors based on RMSE and MAPE, indicating its strong capability in capturing the temporal pattern of coconut production. The incorporation of climate variables through ARIMAX demonstrated that rainfall and the number of rainy days significantly influenced coconut production, while temperature, humidity, and wind speed exhibited weaker effects. To improve model stability and avoid multicollinearity, a simplified log-ARIMAX(1,1,1) model was developed by retaining rainfall as the primary exogenous variable. This model achieved the lowest AIC value among the evaluated climate-based models, indicating improved parsimony and explanatory capability. Forecasting results for 2025–2029 indicate a moderate and continuous increase in coconut production. Although ARIMA provides superior predictive accuracy, the rainfall-based ARIMAX model offers additional insights into climate–production relationships, making it valuable for supporting climate-informed forecasting and the future development of early warning frameworks for coconut plantation productivity.