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All Journal Agrointek Jurnal Keteknikan Pertanian Tropis dan Biosistem Pro Food JMM (Jurnal Masyarakat Mandiri) Jurnal Agrotek UMMat Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Pengabdian Magister Pendidikan IPA Jurnal Gema Ngabdi Jurnal Abdi Insani Jurnal Ilmiah Abdi Mas TPB Unram Jurnal Agro Dedikasi Masyarakat (JADM)
Surya Abdul Muttalib, Surya Abdul
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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Peningkatan Kapasitas Kelompok Tani Sinar Bahagia dalam Diversifikasi Produk Kakao Dengan Penerapan Teknologi Berbasis Green Processing di Desa Bebidas Yasa, I Wayan Sweca; Saloko, Satrijo; Dila, Baiq Fitriana; Fikriana, Garin; Muttalib, Surya Abdul
Jurnal Gema Ngabdi Vol. 7 No. 3 (2025): JURNAL GEMA NGABDI
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jgn.v7i3.635

Abstract

The capacity-building program for the Sinar Bahagia Farmers’ Group in Bebidas Village was implemented to strengthen farmers’ ability to diversify cocoa-based products through the application of green processing technologies. This community engagement initiative aimed to enhance postharvest efficiency, product quality, and economic value addition by utilizing environmentally friendly technologies such as solar dryers with photovoltaic panels, low-energy closed fermentation systems, and composting using EM4-enriched water. The methods employed included participatory training, technology demonstrations, production mentoring, and performance evaluation through measurements of cocoa bean quality, compost yield, and value-added analysis. The results indicated an increase in farmers’ knowledge from 54% to 88%, improved fermentation uniformity up to 85%, reduced drying time from 5–7 days to 2–3 days, and an increase in compost yield from 5.6% to 18.2%. Product diversification into organic cocoa powder, artisan chocolate, and pectin contributed to income growth of 18–72% for the group. Moreover, the program strengthened institutional capacity, enhanced women’s participation, and established a circular-economy-oriented farming model. In conclusion, the application of green processing effectively improved farmers’ capacities while expanding a sustainable cocoa value chain, and the program carries strong potential for replication in other cocoa-producing regions.
IMPLEMENTASI SMART FRESHNESS LABEL BERBASIS BROMOFENOL BIRU DAN METIL MERAH UNTUK PREDIKSI KEMATANGAN PISANG AMBON LUMUT SECARA NON-DESTRUKTIF Ince Siti Wardatullatifah S.; Hanifah Ayu; Hary Kurniawan; Surya Abdul Muttalib; Wiwin Apriyandita; Ansar Ansar; Sukmawaty Sukmawaty; Murad Murad; Rahmat Sabani; Rabiatul Adwiah
JMM (Jurnal Masyarakat Mandiri) Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v10i2.37603

Abstract

Abstrak: Pengabdian kepada masyarakat ini bertujuan untuk mengenalkan dan mengimplementasikan smart freshness label berbasis bromofenol biru dan metil merah sebagai indikator non-destruktif dalam memprediksi tingkat kematangan pisang ambon lumut. Varietas pisang ini memiliki karakteristik unik karena warna kulitnya tetap hijau saat matang, sehingga penentuan tingkat kematangan sering dilakukan dengan menekan buah dan berpotensi menyebabkan memar serta menurunkan mutu dan nilai jual. Kegiatan dilaksanakan melalui penyuluhan, demonstrasi teknologi, dan pelatihan teknis kepada 23 peserta yang terdiri dari petani dan pedagang produk pisang lokal. Evaluasi kegiatan dilakukan menggunakan kuesioner dan observasi praktik penggunaan label indikator. Uji coba terhadap 80 prototipe label menunjukkan teknologi ini mudah diaplikasikan dalam proses penyimpanan dan distribusi buah. Hasil evaluasi menunjukkan 92% peserta menyatakan label membantu menentukan waktu panen atau penjualan, 84% menilai label mudah digunakan, dan 56% menyatakan bersedia menggunakannya secara berkelanjutan. Kegiatan ini meningkatkan pemahaman masyarakat terhadap teknologi indikator kesegaran serta mendukung penerapan teknologi pascapanen secara non-destruktif.Abstract: his community engagement program aims to introduce and implement a smart freshness label based on bromophenol blue and methyl red as a non-destructive indicator for predicting the ripeness level of Ambon Lumut bananas. This banana variety possesses a unique characteristic in which the peel remains green even at the ripe stage, leading consumers and traders to determine ripeness by pressing the fruit, a practice that may cause bruising and reduce product quality and market value. The activity was carried out through outreach sessions, technology demonstrations, and technical training involving 23 participants consisting of farmers and local banana traders. The program evaluation was conducted using questionnaires and direct observation of participants’ practices in applying the indicator labels. Field trials involving 80 prototype labels demonstrated that the technology is easy to apply during fruit storage and distribution processes. Evaluation results indicated that 92% of participants reported that the label helped determine the appropriate harvesting or selling time, 84% considered the label easy to use, and 56% expressed willingness to adopt the technology continuously. Overall, the program enhanced community understanding of freshness indicator technology and supported the adoption of non-destructive postharvest practices.
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.
TRANSFER TEKNOLOGI PRODUKSI TEMPE BAGI GURU BACA AL-QUR’AN DI DESA SUKAMULIA KABUPATEN LOMBOK TIMUR Surya Abdul Muttalib; Kurniawan Yuniarto; Agriananta Fahmi Hidayat
Jurnal Agro Dedikasi Masyarakat (JADM) Vol 6, No 1 (2025)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jadm.v6i1.32197

Abstract

Kegiatan pengabdian bertujuan memberikan alih pengetahuan dan paket teknologi dalam pembuatan tempe yang baik sekaligus mengasah kemampuan berwirausaha bagi guru baca Al-Qur’an di Desa Sukamulia Kecamatan Sukamulia Kabupaten Lombok Timur. Mitra merupakan kelompok pembimbing baca Al-Qur’an dengan usia produktif (18-25 tahun) yang secara ikhlas mengajar anak-anak usia 5 sampai 13 tahun untuk fashih membaca Al-Qur’an. Hal mendasar yang dimiliki oleh mitra yakni mitra memiliki keinginan yang sangat kuat untuk berwirausaha sehingga mampu mandiri secara ekonomi.  Melalui pendekatan yang terstruktur baik mulai tahapan perencanaan sampai evaluasi, kegiatan pengabdian yang dilakukan selama 8 bulan dapat berjalan dengan optimal yang dibuktikan dengan ketercapain luaran pengabdian. Bentuk ketercapaian luaran dibuktikan dengan:1) kemampuan mitra dalam produksi tempe yang mampu berjalan baik dan kontinyu; 2) Penerimaan mitra terhadap paket teknologi mesin pencampur ragi tempe dengan kedelai yang diaplikasikan oleh pada mitra sudah optimal; 3) Peningkatan pendapatan mitra dengan produksi rata-rata harian 10 Kg menghasilkan pendapatan sebasar Rp. 750.000,-
The Effectiveness of Potassium Permanganate (KMnO4) As an Oxidizer in Bamboo Charcoal Briquette Production Putra, Alldy Nanda; Sabani, Rahmat; Kurniawan, Hary; Muttalib, Surya Abdul
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 14 No. 2 (2026): August 2026
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

This research aims to increase the effectiveness of adding Potassium Permanganate (KMnO4) as an oxidizer in the process of making bamboo charcoal briquettes. The research methodology includes several stages, starting from preparing bamboo waste raw materials, the carbonization process to produce charcoal, to printing briquettes with varying concentrations of KMnO4 (0, 5, 7.5 and 10%). Tests carried out include analysis of heating value, combustion rate, density, air content, compressive strength, ignition duration and ash content to determine the physical and chemical characteristics of the briquettes. The results showed that the addition of KMnO4 had a significant effect on the parameters tested. A KMnO4 concentration of 10% speeds up the ignition time of briquettes significantly to 15 seconds, but results in a decrease in the highest heating value from 5382 cal/g (at 0%) to 5131 cal/g and an increase in the highest ash content to 16.7 g. Treatment with a concentration of 5% showed the most optimal compressive strength value. The use of KMnO4 is effective in accelerating initial ignition but can reduce several other essential qualities such as heating value and ash content. Determining the right concentration is crucial to producing briquettes with balanced performance.
Co-Authors Amalia, Anugerah Fitri Ansar Ansar Ansar Ansar Ansar Arifin Dwi Saputro, Arifin Dwi Asih Priyati Ayu, Hanifah Dila, Baiq Fitriana DWI SANTOSO Fakhrul Irfan Khalil FATIMA, SITI Fikriana, Garin Guyup Mahardhian Dwi Putra Hanifah Ayu Hanifah Ayu Hary Kurniawan Hidayat, Agriananta Fahmi Ince Siti Wardatullatifah S Ince Siti Wardatullatifah S. Joko Nugraha WK JOKO NUGROHO Joko Nugroho Wahyu Karyadi Kurniawan Yuniarto Kurniawan, Hary Kurniawan, Hary Kusmiah, Nurhaya Miraj Fuadi Murad Murad Murad Murad, Murad Nanang Apriandi Nursigit Bintoro Nursigit Bintoro Putra, Alldy Nanda Rabiatul Adwiah Rahmat Sabani Rahmat Sabani Rozidi Rozidi Sabar Burhan Satrijo Saloko Sirajuddin haji Abdillah Sirajuddin Haji Abdullah Sri Rahayoe Sukmawaty Sukmawaty Sukmawaty Sukmawaty Sukmawaty Wardatullatifah S , Ince Siti Wardatullatifah, Ince Siti Widhiantari, Ida Ayu Wiwin Apriyandita Yasa, I Wayan Sweca Zulfikar, Wahyudi Zulhan Widya Baskara