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All Journal EXPLORER Prioritas : Jurnal Pengabdian Kepada Masyarakat
Martini, Dewi
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Computer Science & IT Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice

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Sosialisasi Pembuatan Pakan Fermentasi untuk Ternak Sapi di Dusun I Bukit Gantung Desa Sumber Mulyo Rahman, Sayuti; Khahfi Zuhanda, Muhammad; Ramdan, Dadan; Hartono, Hartono; Syah, Rahmad; Sembiring, Arnes; Astuti Kuswardani, Retna; Suswati, Suswati; Ady Pratama, Ramadhan; Martini, Dewi
Prioritas: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 02 (2025): EDISI SEPTEMBER 2025
Publisher : Universitas Harapan Medan

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Abstract

Ketersediaan pakan berkualitas menjadi tantangan utama bagi peternak sapi di Dusun I Bukit Gantung, Desa Sumber Mulyo, terutama pada musim kemarau ketika hijauan terbatas dan harga pakan komersial meningkat. Ketergantungan pada rumput dan jerami tanpa pengolahan menyebabkan rendahnya nilai nutrisi serta pertumbuhan ternak yang tidak optimal. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan memberikan edukasi dan pelatihan kepada peternak mengenai pembuatan pakan fermentasi sebagai solusi aplikatif, murah, dan berkelanjutan. Metode pelaksanaan mencakup sosialisasi konsep fermentasi, demonstrasi teknis, dan hands-on training mulai dari pemilihan bahan, pencacahan, pencampuran dengan EM4, pengaturan kadar air, hingga pengemasan anaerob dan proses inkubasi. Evaluasi dilakukan melalui pre-test dan post-test untuk mengukur peningkatan pengetahuan dan keterampilan peserta. Hasil kegiatan menunjukkan peningkatan signifikan antara 40% hingga 54% pada aspek pemahaman konsep dasar, teknik pengolahan, serta kemampuan menganalisis kesalahan fermentasi. Pelatihan ini terbukti efektif dalam membangun kapasitas peternak untuk memproduksi pakan fermentasi secara mandiri, memanfaatkan limbah pertanian, dan mengurangi ketergantungan pada pakan komersial. Penerapan teknologi fermentasi diharapkan mampu meningkatkan produktivitas ternak serta mendukung praktik peternakan yang lebih efisien dan berkelanjutan.
Analisis Komparatif CNN Ringan untuk Klasifikasi Penyakit Daun Tomat Menggunakan Visualisasi Grad-CAM Rahman, Sayuti; Hartono, Hartono; Sembiring, Arnes; Khahfi Zuhanda, muhammad; Aditya Pratama, Bayu; Martini, Dewi
Explorer Vol 6 No 1 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v6i1.2601

Abstract

Tomato leaf disease classification based on digital imagery has become an important approach in supporting smart agriculture, particularly for early detection of plant disease attacks. This study aims to compare the performance of several lightweight Convolutional Neural Network (CNN) architectures, namely MobileNetV3-Small, MobileNetV2, and EfficientNet-B0, in classifying tomato leaf diseases using the PlantVillage dataset. The dataset consists of 3,628 images distributed across 10 classes (9 disease classes and 1 healthy class), with a data split scheme of 80% for training and 20% for validation. Performance evaluation was conducted using classification reports, confusion matrices, and interpretability analysis through Grad-CAM and feature map visualization. The experimental results show that all models achieved very high accuracy, exceeding 99%. EfficientNet-B0 obtained the best performance with a validation accuracy of 99.59%, followed by MobileNetV2 at 99.45% and MobileNetV3-Small at 99.04%. However, model complexity increased along with accuracy, where EfficientNet-B0 had the largest number of parameters and FLOPs. Grad-CAM analysis revealed that higher-accuracy models demonstrated more precise activation focus on leaf lesion regions. This study confirms that lightweight CNN architectures are capable of delivering excellent classification performance while offering strong potential for deployment in plant disease detection systems on resource-limited devices
Co-Authors Aditya Pratama, Bayu Ady Pratama, Ramadhan Dadan Ramdan Hartono Hartono Khahfi Zuhanda, Muhammad Muhammad Khahfi Zuhanda Rahmad Syah, Rahmad Rahman, Sayuti Retna Astuti Kuswardani Sembiring, Arnes suswati suswati