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All Journal El-Mujtama: Jurnal Pengabdian Masyarakat Journal of Medical and Health Science
Hidayat, Sopian
Unknown Affiliation
Religion Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences

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Pemberdayaan Masyarakat Petani Teh melalui Pengembangan Usaha Teh Lokal di CV Teh Giles Nuna, Kiarapedes – Purwakarta Junaedy, Eddy; Akmal, Agung Muhamad; Munawar, Deni Abdul; Fauzan, Fauzan; Nurjaman, Muhamad Iman; Fadilah, Nugraha Abdil; Faiz, Faiz; Nasrulloh, Rifki; Hidayat, Sopian; Abdurrahman, Zidan
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 5 No. 4 (2025): El-Mujtama: Jurnal Pengabdian Masyarakat 
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v5i4.8479

Abstract

CV Teh Giles Nuna is one of the small and medium enterprises (SMEs) in the agribusiness sector focusing on local tea processing in the Kiarapedes area, Purwakarta. This study aims to describe the forms of community empowerment carried out by the company toward local tea farmers and to identify the challenges in the production and marketing processes. A qualitative descriptive method was employed through field observation and document analysis. The findings indicate that community involvement in tea production has had a positive impact on the local economy. However, several obstacles persist, including limited production equipment, underdeveloped digital marketing strategies, and minimal government support. Further empowerment strategies are needed, such as training programs, modernization of production tools, and expanded distribution through collaboration with government agencies and digital platforms.
Model Prediksi Risiko Diabetes Melitus Berbasis Data Perilaku Gaya Hidup Dan Aktivitas Fisik Masyarakat Ahkam, Firdaus; Islami, Laela; Hidayat, Sopian
Journal of Medical and Health Science Vol. 2 No. 1: Journal of Medical and Health Science, March 2026
Publisher : Gema Cendekia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71094/jmhs.v2i1.372

Abstract

Diabetes mellitus is a non-communicable disease whose prevalence continues to increase globally and poses a serious challenge to public health systems. The increase in diabetes cases is influenced not only by genetic and clinical factors but also by changes in people's lifestyle behaviors such as unbalanced diets, low physical activity, obesity, and smoking habits. Therefore, a behavioral data-based risk prediction approach is crucial to support early detection and disease prevention strategies at the population level. This study aims to develop a diabetes mellitus risk prediction model based on community lifestyle and physical activity data using a machine learning approach. The study used a quantitative design with a predictive analysis approach. The research data consisted of health behavior variables such as body mass index, physical activity, diet, smoking habits, and sleep duration. The analysis process was carried out through data preprocessing, variable exploration, machine learning model development, and model performance evaluation using accuracy, precision, recall, and ROC-AUC metrics. Several machine learning algorithms were applied to identify patterns of association between behavioral factors and diabetes mellitus risk. The results showed that the developed prediction model was able to identify individuals at risk of diabetes with a good level of accuracy. Body mass index, physical activity level, and dietary patterns emerged as the most influential factors in the prediction model. These findings suggest that lifestyle behavior data can be utilized as important indicators in a community diabetes risk screening system. The resulting prediction model has the potential to support the development of a data-driven early detection system and aid in the formulation of more effective diabetes prevention strategies at the community level.
Co-Authors Abdurrahman, Zidan Ahkam, Firdaus Akmal, Agung Muhamad Eddy Junaedy Fadilah, Nugraha Abdil Faiz Faiz Fauzan . Islami, Laela Munawar, Deni Abdul Nasrulloh, Rifki Nurjaman, Muhamad Iman