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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Pusat Inovasi Masyarakat
Mahenindra, Talenta Parfaibya
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Mathematics Social Sciences

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Edukasi Herbal Mineral Blok untuk Meningkatkan Efisiensi Pakan Ternak Ruminansia di Desa Gunung Menyan, Bogor Zylviana, Tengku; Firliani, Syifa Malika; Anbiya, Muhammad Regi; Maharani, Desvita Fitri; Mahenindra, Talenta Parfaibya; Ihsani, Wafi; Safitri, Afizah Dwi; Vebrian, Zaky; Wijaya, Elang Pramudya
Jurnal Pusat Inovasi Masyarakat Vol. 7 No. 2 (2025): Oktober 2025
Publisher : Direktorat Pengembangan Masyarakat Agromaritim, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpim.7.2.369-377

Abstract

This community service program was carried out in Gunung Menyan Village, Bogor, with the aim of enhancing farmers’ understanding and skills in producing and utilizing Herbal Mineral Blocks (HMB) as supplementary feed for goats and sheep. The activities were conducted through socialization sessions, tutorial video presentations, and hands-on practice, with effectiveness measured using pre-test and post-test assessments administered to 46 participants. The results indicated a significant increase in knowledge, as evidenced by the paired t-test results (p < 0.05), showing that the participants’ average scores improved. These findings demonstrate that HMB education not only provided new insights but also fostered collective awareness among farmers regarding the importance of healthier and more efficient feed management. From an economic perspective, the use of HMB has the potential to improve livestock quality, increase market value, and strengthen consumer trust in local products. This program serves as an initial step in raising farmers’ awareness of feed quality as a key factor in improving livestock performance.
Sentiment Analysis of Indonesia’s Free Nutritious Meal Program on X Using SVM and Random Forest Hasyim, Ferdy Aliansyah; Mahenindra, Talenta Parfaibya; Sriwahyuni, Lilis; Shapira, Alika Azka; Wigawijayanti, Wigawijayanti; Ghaisani, Nadhifa Zahra; Sujana, Mirlan; Nurdiati, Sri; Najib, Mohamad Khoirun
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 1 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i1.40717

Abstract

The Free Nutritious Meal (Makan Bergizi Gratis/MBG) Program was introduced to address stunting in Indonesia, yet its implementation has sparked diverse public debate. This study aims to map public perception on social media X and compare the performance of Support Vector Machine (SVM) and Random Forest algorithms in sentiment classification. Utilizing a large-scale dataset of 7,452 tweets collected via stratified random sampling from January to October 2025, this research applies TF-IDF feature extraction and SMOTE data balancing. The analysis reveals that positive sentiment dominates at 47.62%, while negative sentiment accounts for 39.8\%, and neutral for 12.57%. In model comparison, SVM without SMOTE achieved the best performance with 80.66% accuracy and an F1-Score of 79.79%, outperforming Random Forest, which only reached a maximum accuracy of 72.23% after SMOTE application. These findings provide an objective overview of MBG policy acceptance and methodological insights into the effectiveness of SVM in handling high-dimensional text data.
Co-Authors Anbiya, Muhammad Regi Firliani, Syifa Malika Ghaisani, Nadhifa Zahra Hasyim, Ferdy Aliansyah Ihsani, Wafi Maharani, Desvita Fitri Najib, Mohamad Khoirun Safitri, Afizah Dwi Shapira, Alika Azka Sri Nurdiati Sriwahyuni, Lilis Sujana, Mirlan Vebrian, Zaky Wigawijayanti, Wigawijayanti Wijaya, Elang Pramudya Zylviana, Tengku