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All Journal Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Community Development Journal: Jurnal Pengabdian Masyarakat Protech Biosystems Journal
Sukmawaty Sukmawaty
Universitas Mataram
Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Education Energy Engineering Health Professions Public Health

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METODE PENGEMASAN TAUGE KACANG HIJAU MENGGUNAKAN PLASTIK POLIETILIN DAN POLIPROPILIN PADA PENYIMPANAN SUHU RENDAH Ansar Ansar; Sukmawaty Sukmawaty; Murad Murad; Isna Hilda Arini
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 10, No 1 (2021): Maret
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v10i1.119-128

Abstract

Green bean sprouts are a type of vegetable that has a short shelf life. To extend the shelf life of these vegetables, they need to be stored by appropriate packaging methods. The aim of this study was to apply polyethylene (PE) and polypropylene (PP) plastic packaging to increase the shelf life of mung bean sprouts. The research was conducted by packing mung bean sprouts in PE and PP plastic at storage temperatures of 10 and 29 °C for 9 days. The parameters observed were weight loss, respiration rate, color, moisture content, and aroma. The results showed that mung bean sprouts stored in PE packaging had a longer shelf life than PP packaging. The shelf life of mung bean sprouts using PE packaging is 5 days, while PP packaging can only last 3 days at 10 °C. The shelf life of mung bean sprouts using PE packaging is 4 days, while the PP packaging can only last 2 days at 29 °C. Keywords: green bean sprouts, packaging, PE plastic, storage, temperature
PEMANFAATAN LIMBAH CANGKANG KEMIRI SEBAGAI SUMBER ENERGI DI KABUPATEN LOMBOK BARAT Rahmat Sabani; Sukmawaty Sukmawaty; Ansar Ansar; Murad Murad
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 4 (2023): Volume 4 Nomor 4 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i4.19004

Abstract

Kegiatan pengabdian kepada masyarakat telah dilaksanakan dan berlangsung secara efektif, menggabungkan metode ceramah dan praktik pembuatan briket dari cangkang kemiri. Cangkang kemiri merupakan limbah biomassa potensial yang tersedia cukup banyak yang dapat dimanfaatkan sebagai bahan pembuatan briket. Limbah tempurung kemiri ini, umumnya belum banyak dimanfaatkan atau diusahakan untuk menambah sumber pendapatan dan sebagai salah satu jenis usaha yang potensial untuk dikembangkan. Sekitar 70% kandungan tempurung pada buah kemiri selama ini hanya menjadi limbah yang jarangi dimanfaatkan. Tempurung kemiri mengandung holoselulosa 49,22% dan lignin 54,46%. Kandungan lignin yang tinggi berpotensi untuk dibuat arang yang menghasilkan nilai kalor yang tinggi. Kegiatan ini dimaksudkan untuk pemanfaatan limbah biomassa sebagai sumber energi alternatif.  Kegiatan transfer teknologi tepat guna ini dinilai berhasil dan dirasakan sangat berguna oleh kelompok sasaran, yang diindikasikan oleh hasil evaluasi yang dilakukan, dimana 70% peserta sangat memahami dan dapat mempraktekkan dengan baik, 20% paham dan dapat mempraktekkan pembuatan briket menggunakan peralatan yang disediakan saat pelatihan, dan 10% peserta cukup paham dan  masih memerlukan bimbingan dalam mempraktekkan pembuatan briket sesuai dengan proses dan tahapan yang telah ditentukan. Hasil briket tang dihaslkan pada kegiatan praktek pembuatan briket, berdasarkan uji nyala yang dilakukan, tergolong baik dan dapat dipergunakan sebagai bahan bakar, serta dinilai potensial untuk menyediakan energi alternatif. Usaha ini dapat menjadi  salah satu jenis usaha potensial yang dapat dikembangkan oleh Industri Kecil Menengah (IKM).
Application of Electrocoagulation for Wastewater Treatment of Tofu Production Ino Eben Lasroha L.Toruan; Sirajudin Haji Abdullah; Sukmawaty Sukmawaty; Diah Ajeng Setiawati
Protech Biosystems Journal Vol 1, No 1 (2021): Protech Biosystems Journal
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/protech.v1i1.6001

Abstract

This study aims to process tofu wastewater by using the electrocoagulation method and determine TSS, TDS, and pH efficiency. The Electrocoagulation system was designed based on an electrocoagulation general standard called batch systems. This study used voltage variations of 10, 20, and 30 volts and exposure time during 60, 120, and 180 minutes. The parameters observed were Total Suspended Solid (TSS), Total Dissolved Solid (TDS), and acidity (pH). This study used fresh tofu wastewater with temperature 40-50oC, with a volume of 2000 ml wastewater in one time of electrocoagulation process. The results showed that the designed electrocoagulation system could reduce TSS concentration until 72.2% and TDS 15.4% and increasing pH approaching the neutral value. However, the concentration value of TSS and TDS  was still above the quality standard. Initial characteristics of tofu wastewater with pH 4.6, TSS 2396.4 mg/L, and TDS 2975.1 mg/L after electrocoagulation process gained pH values 6.5, TSS 1072.7 mg/L, and TDS 2621.6 mg/L.
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.
Co-Authors Ansar Ansar Diah Ajeng Setiawati Hanifah Ayu Ince Siti Wardatullatifah S Ino Eben Lasroha L.Toruan Isna Hilda Arini Kurniawan, Hary Murad, Murad Rahmat Sabani Sirajudin Haji Abdullah Surya Abdul Muttalib, Surya Abdul