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Karakteristik Fisik Komposit Biopolimer Sebagai Alternatif Gelatin Aprianti, Gustira Endah; Suyatma, Nugraha Edhi; Arpah, Muhammad
Jurnal Ilmu Pangan dan Hasil Pertanian Vol 7, No 1 (2023)
Publisher : Program Studi Teknologi Pangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiphp.v7i1.15427

Abstract

Gelatin memiliki peranan yang sangat penting bagi industri. Pembuatan gelatin menggunakan kulit dan tulang babi atau sapi yang bisa menimbulkan masalah bagi umat islam, hindu, yahudi dan vegetarian. Upaya yang dapat dilakukan mengatasi hal tersebut yaitu dengan mencari bahan baku lain sebagai alternatif gelatin. Tujuan dari penelitian ini untuk mengetahui komposit biopolimer terbaik sebagai alternatif gelatin. Biopolimer yang digunakan adalah kappa karagenan, pati termodifikasi, CMC, dan isolat protein kedelai. Beberapa analisis yang dilakukan diantaranya pembentukan gel, efek pengental, pembentukan film, transparansi gel, sineresis, kelarutan dalam air dingin, dan kekutan gel. Uji statistik yang digunakan yaitu uji Dunnett dengan taraf signifikansi 5%. Hasil yang tidak berbeda nyata dengan gelatin akan dipilih sebagai komposit biopolimer terbaik. Komposit biopolimer terbaik terdiri dari kappa karagenan, pati termodifikasi, dan isolat protein kedelai. Berdasarkan uji kekuatan gel, formula komposit biopolimer yang tidak berbeda nyata dengan gelatin adalah K3I4C0, K3P3I1 dan K3P4I0.
Development of antibacterial dual active food packaging based on super water absorbent and ethanol emitter: Pengembangan kemasan pangan aktif ganda antibakteri berbasis super water absorbent dan etanol emitter Nilatany, Asti; Kusumaningrum, Harsi Dewantari; Suyatma, Nugraha Edhi; Mulyanto, Rizky Nuur Berlianni; Yunus, Ade Lestari; Pratama, Indra Mustika; Sasmita, Hadian Iman; Lukitowati, Fajar; Benita, Ashri Mukti; Syahputra, Akhmad Rasyid; Oktaviani, Oktaviani; Nuryanthi, Nunung
Jurnal Teknologi & Industri Hasil Pertanian Vol. 30 No. 2 (2025): Jurnal Teknologi & Industri Hasil Pertanian
Publisher : Teknologi Hasil Pertanian Fakultas Pertanian Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtihp.v30i2.133-143

Abstract

One way to extend shelf life and maintain the quality of fresh chicken meat is to implement an active packaging system. This research aimed to develop active packaging in the form of pads used in chicken meat with dual functions: Super Water Absorbent (SWA) as an adsorbent system and Ethanol Emitter (EE) as an antibacterial release system. The packaging in this study was first carried out by making SWA/EE with a ratio of 0, 4, and 2 (b/v). Furthermore, SWA/EE granules were inserted into non-woven PP bags to form an adsorbent active packaging pad. The experimental design used was a Randomized Group Design (RGD) with 2 factors, namely SWA/EE pad ratio 0, 4, and 2 (b/v) with non-pad as control and storage time (0, 1, 3, 5, and 7 days). Each treatment was repeated 3 times. The results showed that the SWA/EE ratio 4 (w/v) had better ethanol release and water absorption rate compared to other treatments. SWA/EE treatment with SWA/EE ratio of 4 (b/v) showed a significant difference on the anti-bacterial activity of S. aureus (34.58 mm) and total bacterial growth on storage days 3, 5, and 7, with the lowest value on day 3 (1.52 log CFU/g). SWA/EE treatment did not significantly different on the antibacterial activity of E. coli and total bacterial growth at day 1 storage. Packaging with an SWA-EE ratio of 4 (w/v) has the potential to be a double active packaging that can be used on fresh chicken meat.
An Intelligent Food Recommendation System for Dine-in Customers with Non-Communicable Diseases History Imantho, Harry; Seminar, Kudang Boro; Damayanthi , Evy; Suyatma , Nugraha Edhi; Priandana, Karlisa; Ligar, Bonang Waspadadi; Seminar, Annisa Utami
Jurnal Keteknikan Pertanian Vol. 12 No. 1 (2024): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.012.1.140-152

Abstract

The rising prevalence of diet-related diseases necessitates a focus on individual food selection to enhance nutrition intake and promote overall health. This study introduces a novel food recommender system utilizing artificial intelligence, specifically a genetic algorithm (GA), to intelligently match diverse nutritional needs with available food items. The research incorporates machine learning methodologies, such as collaborative and content-based filtering, to develop a recommendation model. Data from a commercial restaurant, Nutrisurvey, and the Indonesian food composition list inform the nutritional analysis of five menu items. Consumer variability, considering factors like sex, body mass index, medical conditions, and physical activity, are integrated into the GA framework for personalized food pattern matching. The presented results demonstrate the efficacy of the proposed model in offering tailored food recommendations for consumers with non-communicable diseases (NCDs), such as diabetes, hypertension, and heart disease. The multi-objective optimization technique employed in the system ensures a balance between nutritional adequacy and individual preferences. The presented GA-based approach holds promise for promoting healthier food choices tailored to individual needs, contributing to the broader goal of fostering a sustainable and personalized food system.
Formulation and Shelf-Life Estimation of Ready-to-Drink Avocado Coffee Milk and Durian Coffee Milk Products Muhandri, Tjahja; Yufriyana, Nur; Suyatma, Nugraha Edhi; Sugihartini, Rahayu Lestari
Indonesian Journal of Applied Research (IJAR) Vol. 6 No. 2 (2025): Indonesian Journal of Applied Research (IJAR)
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/ijar.v6i2.734

Abstract

Coffee is widely and regularly consumed in Indonesia. The trend towards practical lifestyle has driven the development of ready-to-drink (RTD) coffee products. Avocado and durian are commonly incorporated as additives due to their unique flavor profiles, creamy textures, and potential to enhance the functional properties of coffee-based drinks. This study aimed to identify the optimal formulation of RTD avocado coffee milk and durian coffee milk products based on sensory characteristics and to estimate their shelf life using the direct method. The formulations were developed by varying the fruit purée concentration: 5%, 7.5%, and 10% for avocado coffee milk, and 5%, 10%, and 15% for durian coffee milk. The hedonic rating test revealed that formulations containing 5% avocado purée and 15% durian purée were the most preferred by 50 panelists. These selected formulations were further analyzed to estimate product shelf life at 4°C and 18°C. Quality changes were evaluated through objective parameters (color change [∆E], pH, viscosity, and physical stability) and subjective parameters (color, aroma, and flavor intensities). Products stored at 18°C deteriorated more rapidly and were excluded from further shelf life prediction. The estimated shelf life of avocado coffee milk stored at 4°C was 59 days based on flavor parameter (R² = 0.9338), while durian coffee milk had an estimated shelf life of 61 days based on pH (R² = 0.9305).
Co-Authors Adhitya Yudha Pradhana, Adhitya Yudha Adil Basuki Ahza Afriyanti Afriyanti Aisah Aisah Akbar, Kelvin Muhammad Akhmad Rasyid Syahputra, Akhmad Rasyid Anis Khairunnisa, Anis Anuraga Jayanegara Aprianti, Gustira Endah Ara Nugrahayu Nalawati Aritonang, Melva Linda Asti Nilatany, Asti Ata Aditya Wardana Auliana, Sigit Axiomawan, Firman Yudha BARLINA RINDENGAN, BARLINA Bayu Meindrawan Benita, Ashri Mukti Budi Nurtama Dede Robiatul Adawiyah desi juliani Dhita Sari Dias Indrasti Eko Hari Purnomo Elizabeth, Irma Rosiana Emmy Darmawati Evi Savitri Iriani Evi Savitri Iriani Evi Savitri Iriani Evy Damayanthi Fahim Muchammad Taqi Farha Herzegovina Fathia, Sarah Hadi Kurniawanto Hadian Iman Sasmita, Hadian Iman Harsi D. Kusumaningrum Hendra Adi Prasetia Herza Govina Sobarsa Heti Herawati Huunaefi, Dase Iman Sabarisman Imantho, Harry Imawati Eka Putri Irma Rosiana Elizabeth Irman Hermadi Islamy, Agung Isnaini Rahmadi Jaka Wijaya Kusuma Jamyang Tashi Wangdi Joko Hermanianto Karlisa Priandana Kudang Boro Seminar Ligar, Bonang Waspadadi Linda Trivana, Linda Lukitowati, Fajar Mona Nur Moulia Muhammad Arpah Muhammad Hauzan Arifin Muhammad Rivai Muhammad Sudirman Akili Mulyanto, Rizky Nuur Berlianni Nancy Dewi Yulliana Nancy Dewy Yuliana Nanik, Rahmani Novia Nava Nuryanthi, Nunung Oktaviani oktaviani Pratama, Indra Mustika Puspo Edi Giriwono Raafqi Ranasasmita Raafqi Ranasasmita Risma Rahmatunisa Rizal Syarief Rizal Syarief Rizal Syarief S. Joni Munarso Sandi, Olifia Mutiara Saraswati Sari, Ruly Novita SEDARNAWATI YASNI Seminar, Annisa Utami Sentani Chasfila setiavani, gusti setiavani, gusti Sri Widowati Sri Yuliani Sugihartini, Rahayu Lestari Sugiyono Sugiyono . Sugiyono . Sugiyono Sugiyono Suhandi Syahnada Jaya Syaifullah Syaifullah, Syahnada Jaya Tien Ruspriatin Muchtadi Tien Ruspriatin Muchtadi Tjahja Muhandri Usman Ahmad Utama, Rozi Satria Vega Yoesepa Pamela Wardhana, Danu Indra Winiati Pudji Rahayu yermia, yermia yermia Yufriyana, Nur Yuliana, Nancy Dewy Yunus, Ade Lestari