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Penguatan Kompetensi Teknis dan Optimalisasi Pembelajaran Experiential Learning Mahasiswa Teknik Pertanian melalui Produksi Benih Padi Bersertifikat di UPTD Balai Benih Induk Pertanian Provinsi Nusa Tenggara Barat Muhammad Rifqi Al-Afgoni; Ibadias Sholihin; Rabiatul Adwiah; Fathurrahman Yazid Tabrani; Sutina Ariyani; Muhammad Abyad Hofid Taqiya; Hary Kurniawan
Jurnal Agro Dedikasi Masyarakat (JADM) Vol 7, No 1 (2026)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jadm.v7i1.38263

Abstract

Kegiatan Praktik Kerja Lapangan (PKL) berbasis Merdeka Belajar Kampus Merdeka (MBKM) yang dilaksanakan di UPTD Balai Benih Induk Pertanian (BBIP) Provinsi Nusa Tenggara Barat bertujuan untuk meningkatkan kompetensi teknis mahasiswa dalam manajemen produksi benih padi. Kegiatan ini diikuti oleh enam mahasiswa Program Studi Teknik Pertanian dan dilaksanakan melalui tiga tahapan utama, yaitu persiapan, pelaksanaan, dan evaluasi. Tahap persiapan meliputi orientasi, pembagian tugas, serta pengenalan standar operasional produksi benih. Tahap pelaksanaan mencakup keterlibatan langsung mahasiswa dalam proses produksi benih padi seperti pengolahan lahan, persemaian, penanaman, pemeliharaan, hingga penanganan pascapanen. Melalui tahapan ini, mahasiswa memperoleh peningkatan hard skills terkait teknis budidaya dan pengelolaan benih, serta soft skills seperti komunikasi, kerja sama tim, pemecahan masalah, dan kedisiplinan kerja. Tahap evaluasi dilakukan melalui diskusi reflektif bersama pembimbing untuk menilai capaian pembelajaran dan efektivitas kegiatan. Secara keseluruhan, program ini memberikan pengalaman berbasis praktik yang komprehensif dalam pengelolaan benih padi bersertifikat serta memperkuat kesiapan profesional mahasiswa di bidang teknologi perbenihan.
Non-Destructive Detection of Coffee Bean Defects using Machine Vision and the YOLOv11 Algorithm Hary Kurniawan; Ince Siti Wardatullatifah S; Hanifah Ayu; Surya Abdul Muttalib; Sukmawaty Sukmawaty; Ansar Ansar; Rahmat Sabani; Murad Murad
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 3 (2026): June 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i3.1164-1179

Abstract

Advances in machine vision and deep learning offer a promising solution for automated, non-destructive quality assessment for high-quality coffee. This study evaluated the performance of five YOLOv11 variants (n, s, m, l, and x) for real-time detection of defective coffee beans and identified the most suitable model in terms of detection accuracy and computational efficiency. A conveyor-based machine vision system was developed to acquire top-view images of Robusta coffee beans under controlled illumination. A dataset of 3,500 images was prepared, comprising 3,000 annotated images for training and validation (80:20) and 500 images reserved for blind testing. All defective beans were grouped into a single defect class, and the YOLOv11 variants were evaluated using precision, recall, F1-score, mean Average Precision (mAP) at IoU thresholds of 0.5 and 0.5:0.95, and inference time. All YOLOv11 variants achieved high detection performance, with mAP@0.5 values exceeding 0.98. YOLOv11s showed the best overall balance, achieving the highest recall (0.954), mAP@0.5:0.95 (0.689), and F1-score (0.959), while maintaining low inference time and a compact model size. Larger variants, such as YOLOv11x, achieved slightly higher mAP@0.5 but required substantially greater computational resources, whereas YOLOv11n provided faster inference but lower robustness under stricter localization criteria. Blind testing revealed a performance gap relative to validation results, highlighting remaining challenges in model generalization. Overall, the results confirm the effectiveness of YOLOv11 for coffee bean defect detection and identify YOLOv11s as the most suitable variant for real-time inspection within the defined experimental scope.
PENERAPAN TEKNOLOGI PENGERING SILINDER UNTUK DIVERSIFIKASI PRODUK DI UKM DESA KEKAIT: STUDI KASUS PADA GULA SEMUT DAN COCONUT CHIPS Hary Kurniawan; Fakhrul Irfan Khalil; Guyup Mahardhian Dwi Putra
Jurnal Agro Dedikasi Masyarakat (JADM) Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jadm.v5i2.28068

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kualitas dan diversifikasi produk UKM Maju Bersama di Desa Kekait melalui penerapan teknologi pengering silinder. Fokus kegiatan adalah optimalisasi proses pengeringan gula semut dan coconut chips untuk menghasilkan produk berkualitas tinggi yang memenuhi standar SNI. Metode yang digunakan meliputi sosialisasi dan koordinasi, pengujian alat pengering silinder, penyuluhan Cara Pengolahan Pangan yang Baik (CPPB), serta pelatihan penggunaan alat pengering. Hasil kegiatan menunjukkan bahwa alat pengering silinder mampu menurunkan kadar air gula semut dan coconut chips secara signifikan dalam waktu yang lebih singkat dibanding metode tradisional. Selain itu, kegiatan ini meningkatkan kapasitas produksi, pendapatan UKM, serta keterampilan mitra dalam menggunakan teknologi tepat guna. Tantangan dalam penerapan teknologi ini mencakup biaya investasi awal dan kebutuhan pelatihan intensif.
Pengaruh kadar air terhadap sifat fisik gula semut melalui analisis regresi linier Hary Kurniawan; Rucitra Widyasari; Yeni Sulastri
AGROINTEK Vol 20, No 2 (2026)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v20i2.31916

Abstract

Granulated palm sugar is a natural sweetener that is increasingly valued for its distinctive flavor, practical granular form, and relatively long shelf life. Its physical quality, however, is highly sensitive to moisture content because the product is hygroscopic and readily absorbs water from the surrounding environment during storage and handling. Changes in moisture content can affect important physical attributes, including density, flowability, and color, which in turn influence product stability, handling performance, and consumer acceptability. This study aimed to evaluate the effect of moisture content on the physical properties of granulated palm sugar using linear regression analysis. Samples were adjusted to five moisture content levels, namely 2.06%, 3.87%, 5.42%, 5.98%, and 7.15% (wet basis), and arranged in a completely randomized design with three replications. The parameters observed were bulk density, tapped density, and color attributes (L*, a*, and b*), which were further used to determine Carr Index (CI), Hausner Ratio (HR), hue angle, and total color difference (ΔE). The results showed that increasing moisture content caused bulk density to decrease, while tapped density, CI, and HR increased, indicating reduced flowability and greater cohesiveness at higher moisture levels. Based on HR classification, granulated palm sugar exhibited low cohesiveness at 2.06% moisture content and shifted to intermediate to high cohesiveness as moisture content increased. Color analysis showed that the product remained within hue angle quadrant I, indicating a brownish-yellow appearance. A high coefficient of determination (R² = 0.9843) also confirmed a strong relationship between moisture content and color parameters. Overall, the findings highlight that moisture control is essential for maintaining the physical quality and handling characteristics of granulated palm sugar during storage and distribution.