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All Journal International Journal of Applied Power Engineering (IJAPE) Jurnal Pembangunan Pendidikan: Fondasi dan Aplikasi Jurnal Pengajaran MIPA Jurnal Pendidikan IPA Indonesia Biotropika Jurnal Akuntabilitas Manajemen Pendidikan Jurnal Pendidikan Biologi Indonesia WARTA EduChemia: Jurnal Kimia dan Pendidikan Jurnal Tadris Kimiya Jurnal Zarah Jurnal Pendidikan Biologi Science and Technology Indonesia SPEKTRA: Jurnal Kajian Pendidikan Sains Jurnal Penelitian Pendidikan IPA (JPPIPA) Orbital: Jurnal Pendidikan Kimia AcTion: Aceh Nutrition Journal BIOEDUSCIENCE Jurnal Ilmu Nutrisi dan Teknologi Pakan PENDIPA Journal of Science Education JURNAL ILMIAH PETERNAKAN TERPADU BIOEDUSAINS: Jurnal Pendidikan Biologi dan Sains CARADDE: Jurnal Pengabdian Kepada Masyarakat Jurnal Pendidikan Matematika (JUDIKA EDUCATION) Riau Journal of Empowerment Zero : Jurnal Sains, Matematika, dan Terapan Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Jurnal Biosilampari: Jurnal Biologi JPBIO (Jurnal Pendidikan Biologi) Jurnal Biotek Kasuari: Physics Education Journal (KPEJ) Jurnal Kumparan Fisika JURNAL PENDIDIKAN MIPA Abdimas Universal Jurnal Biogenerasi Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Jurnal Inovasi Pembelajaran Kimia (Journal Of Innovation in Chemistry Education) Eduproxima : Jurnal Ilmiah Pendidikan IPA Agrinimal Jurnal Ilmu Ternak dan Tanaman Hydrogen: Jurnal Kependidikan Kimia Bioscientist : Jurnal Ilmiah Biologi Prima Abdika: Jurnal Pengabdian Masyarakat Jurnal Inovasi Penelitian dan Pengabdian Masyarakat Jurnal Pijar MIPA Jurnal Inovasi Pengabdian Masyarakat Pendidikan DIKSAINS : Jurnal Ilmiah Pendidikan Sains Al Jahiz: Journal of Biology Education Research Andromeda: Jurnal Pengabdian Masyarakat Rafflesia Jurnal Pendidikan MIPA Jurnal Biosilampari: Jurnal Biologi IJIS Edu : Indonesian Journal of Integrated Science Education
Nursaadah, Euis
Universitas Bengkulu
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Seafood Innovation Processing Octopus into Flour and Proximate Composition Analysis as Highly Nutritious Food Ayu Shinka Permata Sari; Bhakti Karyadi; Euis Nursa'adah; Nurhamidah; Rendy Wikrama Wardana; Indarini Dwi Pursitasari
Al Jahiz Vol 7 No 1 (2026): Al-Jahiz: Journal of Biology Education Research, January-June 2026 (In Progress)
Publisher : Faculty of Tarbiyah and Teacher Training UIN Jurai Siwo, Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32332/al-jahiz.v7i1.11202

Abstract

Kaur Regency has abundant marine resources, particularly Octopus vulgaris. According to data from the local Fisheries Service, octopus production in 2023 reached 349,310 kg. However, utilization remains limited to dried products. An alternative innovation is processing octopus into flour, which offers high nutritional value, longer shelf life, and broader applications as a raw material for various food products. This study aimed to produce octopus flour and analyze its proximate composition. Fresh octopus samples were selected, cleaned, boiled, sliced, and sun-dried until completely dehydrated. The dried material was then ground into powder and stored in airtight containers. Proximate and mineral analyses were conducted at the Biology Laboratory, University of Bengkulu, following SNI 01-2715-1996 standards. The macronutrient analysis showed that fat content was 8.19%, meeting SNI Class II standards (<10%). Protein content reached 32.41%, while carbohydrate content was 7.08%. For micronutrients, calcium content was 0.15%, meeting SNI Class I standards (>0.1%), magnesium content was 0.87%, and iron content was 5,412 ppm. Additional nutritional analysis indicated moisture content of 1.96%, fiber content of 0.73%, and ash content of 4.2%, all complying with SNI Class I criteria. In conclusion, octopus flour produced from local resources meets SNI Class I and II standards for macronutrients, micronutrients, and other nutritional parameters, demonstrating its potential as a nutritious and durable alternative food ingredient.
Smart Packaging from Durian Seed Starch for Real-Time Quality Classification using DenseNet-121 Putri Nutriastuti; Euis Nursaadah; Azvadennys Vasiguhamiaz; Aceng Ruyani; Nurhamidah Nurhamidah; M. Lutfi Firdaus
ZERO: Jurnal Sains, Matematika dan Terapan Vol 10, No 1 (2026): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v10i1.28580

Abstract

This study used smart packaging made from durian seed starch with butterfly pea flower extract and applied the DenseNet121 deep learning model for real-time quality classification. Colorimetric analysis revealed a significant transition from Hue ~92° to Hue ~289° as food quality deteriorated due to pH changes. This study aimed to introduce a non-destructive vision-based classification framework utilizing the DenseNet121 deep learning architecture to demonstrate its effectiveness as a real time food freshness monitor. The dataset was divided into 70% training set, 20% validation set, and 10% test set to ensure robust model development. Performance was evaluated using accuracy, precision, recall, and F1 score. This methodology integrated physicochemical (pH) analysis with the development of a DenseNet121 architecture based Deep Learning model to classify food freshness phases. The results showed that edible films derived from durian seed starch and butterfly pea flower extract were capable of being indicators of food freshness. The dataset consisted of 160 images captured during a 12day experiment, which was expanded using stochastic data augmentation to improve model generalization. Computationally, the model achieved convergence with a training accuracy of 96% with loss 0.14 and achieved an internal testing accuracy of 0.94. Although testing on an external dataset recorded an accuracy of 0.78 due to environmental variability. This study proposes the first integration of durian seed starch based smart packaging with DenseNet121 architecture for automatic freshness classification of lempuk durian, providing a new approach for continuous food quality monitoring. These findings provide a quantitative basis for the application of applied mathematics and computer vision in sustainable food logistics.
Co-Authors A. Mudzakir A. Setiawan Aceng Ruyani Aceng Ruyani ACENG RUYANI Adi Putranto Afrizal Mayub Afrizal Mayub Afrizal Mayub Agus Sudaryono Agustina, Resta Ahmad Aminudin Ahmad Mudzakir Alfia Novera Indah Esa Kasih Amanda, Tiara Dia Ananda, Resti Annisa Luthfiah Aprina Defianti ardana, Rendy Wikrama W Areski Febriani Ariefa Primair Yani Ariefa Primairyani Ariefa Primairyani Ariefa Primairyani, Ariefa Arsela Eko Listiono Asti, Nora Ayudi Athika Ulfah Putri Auriel Zahra Alisha Ayu Shinka Permata Sari Azvadennys Vasiguhamiaz Barke, H. D. Bhakti Karyadi Bhakti Karyadi BHAKTI KARYADI Bhakti Karyadi Budi Maryani Budiyanto Budiyanto Chairunisa, Aprilia Chandra, I Nyoman Defianti, Aprina Deka Agustina Deka Agustina Delima, Ega Marita Deni Parlindungan Devi Kurniawati Dewi Handayani Dewi, Ria Kemala Diah Suprihatin Diana R. Eddy Dinda Oktarina Ega Marita Delima Elsi Adelia Fitri Endang Widi Winarni Endang Widi Winarni Esterlin Fadhilah, Annisa Alya Fahmizal, F. Fahmizal, Fahmizal Fannyda, Raidatul Fenty Fitrian Sari Firdaus, M Lutfi Firdaus, Mochamad Lutfi Fitri April Yanti Ghina Febrianti gumono Hadirama, Khanna Handini, Melda Nuari Harlita Henny Johan Henny Johan Henny Johan Herlina Apriska Ikmi Marlina Imas Eva Wijayanti Indah Langitasari Indarini Dwi Pursitasari Indra Sakti Indra Sakti Intan Febrian Ira Maisarah Isriyanti Affifah, Isriyanti Iwan Setiawan Johan, H. Junaini, Junaini Karyadi , Bhakti Khairunnisa Khairunnisa Lazfihma, L Lazfihma, Lazfihma Lena Rahmidar Liliasari , Liliasari Liliasari Lilis Rusmiati, Lilis Lukmanul Hakim Lukmanul Hakim M. Lutfi Firdaus M. Lutfi Firdaus M. Lutfi Firdaus, M. Lutfi Marliansa, Meiredo Mayub, A. Mayub, Afrizal Mayub, Afrizal Mega Anggelena Mellyta Uliyandari Uliyandari Mochammad Lutfi Firdaus Mochammad Yusa, Mochammad Muhamad Diki Permana Muhammad Lutfi Firdaus Naftalia Artaria Hutabarat Nanda Cahaya Safitri Nensi Pitaloka Nina Gusti Nirwana Nirwana Nirwana, Nirwana Noorzana Khamis Nur ‘Azah Nurhamidah Nurhamidah Nurhamidah Nurhamidah Nurhamidah Nurul Husna Parlindungan , Deni Parlindungan, Deni Pasaribu, Mika Yanti Arita Pathonawiratama, Gustin Primair Yani, Ariefa Putri Nutriastuti Ratu Eva Febriani Rendy W Wardhana Rendy Wikrama Wardana Rendy Wikrama Wardana Rendy Wikrama Wardana Rendy Wikrama Wardana Rina Elvia Rinda Fitri Handayani Rita Sartika Rizka Fitria Ningrum Rizki M. Okumura Sagita, Fitria Santhy Wyantuti Sari, Ega Dwi Permata Sari, Fenty Fitrian Sari, Frisa Rahmah Septika Amalia Umaro Shabrina, Annida Nurul Sipriyadi Sitorus, Jernia Rulintan Sitorus, Lizken Sonia, Gina Susanti Sutarno Sutarno Sutarno Sutarno Sutarno Sutarno Sutarno Suzieleez Syrene Abdul Rahim Syafriadin, Syafryadin Tanda Nauli Sitorban Tita Sunggarani Triana, Yorika Triyanti, Dwi Erni Tuherni, Erni Uliyandari, Mellyta Umaya Umaya, Umaya Urip Santoso Wahyuningsih, Endah Tri Wainarisi, Esterlin Wardana, Rendy W. Wardana, Rendy Wikrama Wardaya, R. W. Widia Gusti Wikrama Wardana, Rendy Wiwit, Wiwit Yeni Wahyuni Hartati Yunita Yunita