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All Journal Teknotan: Jurnal Industri Teknologi Pertanian TELKOMNIKA (Telecommunication Computing Electronics and Control) Al-Risalah : Jurnal Imu Syariah dan Hukum Journal of Innovation and Applied Technology Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Teknologi Pertanian agriTECH Indonesian Journal of Chemistry Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Jurnal Teknologi Pertanian Andalas Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Sainstek : Jurnal Sains dan Teknologi Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) GEMA : Jurnal Gentiaras Manajemen dan Akuntansi Jurnal Abdi Masyarakat Indonesia Software Development Digital Business Intelligence and Computer Engineering Jurnal Statistika dan Sains Data Jurnal Informatika Polinema (JIP)
Retno Damayanti
Department Of Agricultural Engineering, Faculty Of Agricultural Technology, Brawijaya University, Malang
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Evaluasi Pengalaman Pengguna Aplikasi Smart Class Menggunakan Metode UEQ Damayanti, Retno; Larasati Amalia, Eka; Hendra Ardiansyah, Rizqi
Jurnal Informatika Polinema Vol. 12 No. 2 (2026): Vol. 12 No. 2 (2026)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i2.9137

Abstract

Perkembangan teknologi informasi mendorong transformasi metode pembelajaran menuju sistem digital yang interaktif. Penelitian ini bertujuan mengevaluasi pengalaman pengguna terhadap aplikasi Smart Class, yaitu media pembelajaran berbasis web dengan pendekatan gamifikasi yang digunakan untuk mendukung pembelajaran pemrograman dasar HTML. Permasalahan utama yang dikaji adalah bagaimana elemen gamifikasi dapat meningkatkan motivasi belajar mahasiswa dan bagaimana pengalaman pengguna dapat diukur secara sistematis. Metode penelitian menggunakan pendekatan Research and Development (R&D) dengan model pengembangan ADDIE, sedangkan evaluasi dilakukan menggunakan User Experience Questionnaire (UEQ) yang mencakup enam dimensi: Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, dan Novelty. Hasil pengujian menunjukkan nilai rata-rata positif pada semua dimensi, dengan skor tertinggi pada Perspicuity (2,009) dan terendah pada Novelty (1,319). Hasil tersebut menunjukkan bahwa sistem mudah digunakan, efisien, dan mampu meningkatkan motivasi belajar mahasiswa. Secara keseluruhan, aplikasi Smart Class memberikan pengalaman belajar yang menarik, efektif, serta sesuai dengan kebutuhan pengguna di era pembelajaran digital.
Optimized ResNet-18 Model for Ripeness Classification of Javanese Long Pepper (Piper retrofractum) Using Reflectance and Fluorescence Imaging Sandra; Damayanti, Retno; Sa'diyah, Mitha; Nainggolan, Rut Juniar
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 14 No. 1 (2026): April 2026
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2026.014.01.12

Abstract

Javanese long pepper (Piper retrofractum Vahl.) is a high-valuable horticultural commodity crop whose quality and bioactive composition depend strongly on fruit ripeness. Conventional visual assessment is often subjective and inconsistent, emphasizing the need for an objective and non-destructive alternative. This study aimed to develop an automated classification system for determining ripeness stages (green, orange, and red) using reflectance (visible light) and fluorescence (ultraviolet) imaging analyzed through a fine-tuned ResNet-18 deep learning model. A total of 300 images per modality were captured under controlled studio conditions and processed through standardized background removal, size normalization, and data augmentation. Color feature analysis across RGB, CIELAB, and HSV color spaces revealed that reflectance imaging effectively captured pigment transitions associated with chlorophyll degradation and carotenoid accumulation, with the a* channel serving as the most discriminative single-channel indicator. Fluorescence imaging provided complementary physiological information through chlorophyll emission dynamics, exhibiting greater inter-class overlap particularly between green and orange stages. The ResNet-18 model was evaluated using three optimizers (Adam, SGDM, and RMSprop) based on accuracy, precision, recall, Macro F1-score, and loss. For reflectance imaging, SGDM and RMSprop both achieved perfect test classification (accuracy = 100%, Macro F1 = 1.000), while fluorescence-based models achieved up to 97.78% accuracy. Training curve analysis confirmed stable convergence without overfitting across all combinations. Confusion matrix analysis showed that misclassifications were confined to adjacent ripeness stage boundaries, and Grad-CAM visualization confirmed physiologically consistent spatial attention patterns in the best-performing models. The proposed imaging and modeling pipeline offered a reproducible framework for postharvest quality evaluation and standardization of Piper retrofractum and similar horticultural commodities.
Effects of Pretreatment and Freeze Drying on Physical and Functional Properties of Red Dragon Fruit (Hylocereus polyrhizus) Peel Flour Damayanti, Retno; Irfani, Ahmad Fahmi Nur; Sandra; Setiawan, Dwi; Ika, Nurbianto Puji Mahastoto; Saraswanto, Yossi Hendrawan
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

Red dragon fruit (Hylocereus polyrhizus) peel was an underutilized agro-industrial byproduct with high potential as a functional food ingredient due to its pigments and bioactive compounds; however, processing challenges limited its application. This study analyzed the effects of blanching and slicing pretreatments on the physical and functional properties of red dragon fruit peel flour produced using freeze drying. The results showed that the moisture content ranged from 7–12%, meeting standard flour requirements, and was not significantly affected by the treatments, confirming the effectiveness of freeze drying in moisture removal. Yield was significantly influenced by the pretreatments, with the highest value obtained in the blanching–sliced treatment (1.66%) and the lowest in the non-blanching–non-sliced treatment (0.91%). Color characteristics were also significantly affected, where blanching decreased lightness (L*) but increased redness (a*). The highest a* value (32.04) was observed in the blanching–sliced treatment, indicating improved betalain pigment stability due to enzyme inactivation. In contrast, water holding capacity (1.25–3.13%), oil holding capacity (21.17–37.13%), and swelling power (0.92–0.98 g/g) did not differ significantly among treatments. These findings indicated that the combination of blanching and slicing was the most effective pretreatment for enhancing yield and maintaining color stability. The study demonstrated the potential of freeze-dried dragon fruit peel flour as a functional food ingredient and supported the valorization of agricultural waste into value-added products.
Co-Authors Abd. Rohim Achadiah Rachmawati Adamas Akbar Yurisdanto Affan Zahirul Fawazi Ahmad Fauzan Anna Fadliah Rusydi Annisa Taufika Firdausi Aqil, Abdulloh ARDIANSYAH ARDIANSYAH Asep Mulyono Asyam Alfitra, Farhan Atiqah Nurul Asri Bambang Dwi Argo Bambang Susilo Betty Rubiati Dhoriva Urwatul Wutsqa Dian Hanifudin Subhi Dida, Eki Naidania Dimas Firmanda Al Riza Dimas Firmanda Al Riza Dwi Setiawan Dyah Marganingrum Eka Larasati Amalia Faradila, Fian Arifiona Farid Angga Pribadi Ferdiano, Muhammad Rio Fitriyah, Hurriyatul Fuadah, Sururul Gunomo Djoyowasito Hamidah Nayati Utami Hardeli Hardeli Hary Sanjaya Hendra Ardiansyah, Rizqi Heri Nurohman Hersianty, Venny Meida Ika, Nurbianto Puji Mahastoto Irfani, Ahmad Fahmi Nur Irshafiyah, Irshafiyah Izza, Ni'matul Joko Prasetyo Joko Prasetyo Kamalia, Amalia Rohmatul Keke Tamara Fahira Kholifah, Jayanti Khusnul Larasati, Eka Malin Sutan, Sandra Mochamad Bagus Hermanto Mukhammad Abdul Jabbar Filayati Mustofa Lutfi Nainggolan, Rut Juniar Nazhif Ubaidillah Nia Kurniati Nisa, Khurrotun Novia Lusiana Novita Riski Nanda Nugraha, Bagas Setya Dian Nugraha, Detizca Melia Nur Komar Pipit Elok Nikmatus Sholikah Pramana Yoga Saputra Putra Prima Arhandi, Putra Prima Putri, Nurul Farahdila Rahayudin, Yudi Rahmanto, Anugrah Nur Rahmawati, Rahmawati Rahmawaty, Lutfiah Ratna Dwi Puji Astuti Rizka Maria Rudy Ariyanto Sa'diyah, Mitha Safira, Andrilia Sandra Sandra Malin Sutan Sandra Sandra Sandra Sandra Sandra Sandra Saraswanto, Yossi Hendrawan Shoedarto, Riostantieka Mayandari Sholikah, Pipit Elok Nikmatus Sulastri, Neng Lina Sumiadji Supriyono Supriyono Suriyanto Suriyanto, Suriyanto Suryadi, Satrio Binusa Sya’diyah, Halimatus Taufiqurrahman, Adie Titon Elang Perkasa Usman Nurhasan Wahyu Dwi Ristianingrum Yanti Yanti Yusuf Hendrawan