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INDONESIA
Industria: Jurnal Teknologi dan Manajemen Agroindustri
Published by Universitas Brawijaya
ISSN : 22527077     EISSN : 25493892     DOI : -
Core Subject : Economy, Health, Science, Education, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Medicine & Pharmacology Other
Industria: Jurnal Teknologi dan Manajemen Agroindustri which is abbreviated as Industria. Industria is a journal published by Department of Agro-industrial Technology, Faculty of Agricultural Technology, University of Brawijaya, Indonesia. It publishes articles in the scope of technology and management of agro-industrial field, and also other related topics.
Arjuna Subject : -
Articles 272 Documents
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Optimization of Purple Sweet Potato as a Partial Substitute for White Glutinous Rice in the Production of Solid Brem Sucipto, Sucipto; Mandasari, Restu Ari; Issa, Zuraini Mat; Pulungan, Maimunah Hindun
Industria: Jurnal Teknologi dan Manajemen Agroindustri Vol 14, No 2 (2025)
Publisher : Department of Agro-industrial Technology, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.industria.2025.014.02.6

Abstract

AbstractSolid brem is a traditional Indonesian fermented product derived from white glutinous rice, whose increasing cost and demand necessitate the exploration of alternative raw materials. This study investigates the potential of purple sweet potato as a partial substitute for white glutinous rice in the production of solid brem and optimizes processing conditions to achieve desirable product quality. Response Surface Methodology (RSM) with a two-factor design was used to evaluate the effects of tape filtrate proportion (purple sweet potato to white glutinous rice, 0.5–1.5 v/v) and stirring time (15–45 min) on texture, moisture content, and Total Soluble Solids (TSS). The optimal conditions were a tape filtrate proportion of 0.86 (v/v) and a stirring time of 43.25 min, yielding a texture of 151.8 N, a moisture content of 12.14%, and a TSS of 12.2 °Brix. Sensory evaluation demonstrated that the developed product was generally accepted by consumers, with mean hedonic scores of 6.10 for appearance, 5.75 for taste, and 5.40 for aroma (on a 7-point scale). These findings highlight the feasibility of using purple sweet potato as a cost-effective and functional substitute in solid brem production, with acceptable physicochemical and sensory properties. This study contributes to the diversification of local raw materials and supports the development of sustainable agroindustrial products.Keywords: glutinous rice, purple sweet potato, solid brem AbstrakBrem padat adalah produk fermentasi tradisional Indonesia dari beras ketan putih yang mengalami peningkatan biaya dan permintaannya, sehingga perlu eksplorasi bahan baku alternatif. Studi ini menyelidiki potensi ubi ungu sebagai pengganti sebagian beras ketan putih dalam produksi brem padat dan mengoptimalkan kondisi pengolahan untuk mencapai kualitas produk yang diinginkan. Metode Response Surface Methodology (RSM) dengan desain dua faktor digunakan untuk mengevaluasi pengaruh proporsi air tape (ubi ungu terhadap beras ketan putih, 0,5–1,5 v/v) dan waktu pengadukan (15–45 menit) terhadap tekstur, kadar air, dan Total Solube Solids (TSS). Hasil optimasi menunjukkan bahwa kondisi optimal adalah proporsi air tape 0,86 (v/v) dan waktu pengadukan 43,25 menit, menghasilkan tekstur 151,8 N, kadar air 12,14%, dan TSS 12,2 °Brix. Evaluasi sensorik menunjukkan bahwa produk yang dikembangkan secara umum diterima oleh konsumen, dengan skor hedonik rata-rata 6,10 untuk penampilan, 5,75 untuk rasa, dan 5,40 untuk aroma (pada skala 7 poin). Temuan ini menyoroti kelayakan penggunaan ubi ungu sebagai pengganti yang hemat biaya dan fungsional dalam produksi brem padat, dengan sifat fisikokimia dan sensorik yang dapat diterima. Studi ini berkontribusi pada diversifikasi bahan baku lokal dan mendukung pengembangan produk agroindustri berkelanjutan.Kata kunci: beras ketan, brem padat, ubi ungu 
Bridging Controlled Validation and Field Performance: Smartphone-Enabled YOLOv5–ANN for Visual Maturity Classification of Monthong Durian Abryandoko, Eko Wahyu; Ashari, Faisal; Bimananda, Ikhwan Sifa
Industria: Jurnal Teknologi dan Manajemen Agroindustri Vol 15, No 1 (2026): IN PROGRESS
Publisher : Department of Agro-industrial Technology, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.industria.2026.015.01.4

Abstract

AbstractAssessment of the ripeness and quality of Durio zibethinus 'Monthong' commonly relies on human experience, making harvesting and sorting susceptible to subjectivity, lighting conditions, observation angles, and differences in interpreting external fruit characteristics. Although nondestructive visual methods have shown high performance under controlled conditions, evidence of smartphone-based applications in field environments remains limited, particularly for spiny fruits with complex surface morphology. This study developed a hybrid YOLOv5–ANN framework to classify the visual ripeness of durian as a proxy for sweetness, where sweet and unsweet labels represent visual ripeness rather than direct sugar-content measurements. A total of 154 smartphone images were processed through data cleaning, resizing, normalization, augmentation, and segmentation before analysis using YOLOv5 for object localization and feature extraction and ANN for binary classification. The model was integrated into a web/smartphone inference system and evaluated using accuracy, precision, recall, and F1-score. Under controlled conditions, the model achieved 92.70% accuracy, whereas smartphone implementation in field conditions achieved 67.50% accuracy with an inference time of 83 ms. Performance declined due to variations in lighting, background, viewing angle, distance, focus, fruit position, and visual similarity. These results demonstrate the potential of the system as a rapid, nondestructive initial sorting tool while highlighting the need to improve field generalization.Keywords: initial sorting, Monthong durian, smartphone inference, visual maturity, YOLOv5–ANN AbstrakPenilaian kematangan dan kualitas durian Monthong bergantung pada pengalaman manusia sehingga hasil panen dan sortasi rentan berubah akibat subjektivitas, variasi pencahayaan, sudut pengamatan, dan perbedaan penafsiran ciri eksternal buah. Pendekatan visual nondestruktif menunjukkan performa tinggi dalam lingkungan terkontrol, sedangkan bukti kinerjanya melalui smartphone pada kondisi lapang masih terbatas, terutama untuk buah berduri dengan morfologi permukaan kompleks. Penelitian ini mengembangkan kerangka hibrida YOLOv5–ANN untuk mengklasifikasikan kematangan visual durian sebagai proksi kemanisan, sedangkan label manis dan tidak manis diperlakukan sebagai proksi yang berkaitan dengan kematangan visual, bukan pengukuran langsung kadar gula. Pembersihan, perubahan ukuran, normalisasi, augmentasi, dan pembagian data dilakukan pada 154 citra smartphone sebelum diproses melalui YOLOv5 sebagai pelokalisasi objek sekaligus ekstraktor ciri dan ANN sebagai pengklasifikasi biner. Model kemudian diintegrasikan ke sistem inferensi web/smartphone dan dievaluasi menggunakan akurasi, presisi, recall, dan F1-score. Evaluasi terkontrol menghasilkan akurasi 92,70%, sedangkan penerapan smartphone mencapai 67,50% dengan waktu inferensi 83 ms. Penurunan performa terjadi saat model menghadapi variasi pencahayaan, latar, sudut, jarak, fokus, posisi buah, dan kemiripan visual antarkelas. Temuan ini menunjukkan potensi sistem sebagai alat bantu sortasi awal yang cepat dan tidak merusak, sekaligus memperlihatkan batas translasi model dari data terkontrol menuju penggunaan nyata dan perlu penguatan generalisasi lapang.Kata kunci: durian Monthong, inferensi smartphone, kematangan visual, sortasi awal, YOLOv5–ANN 

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