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Optimasi mi kering yang diperkaya ikan teri dan daun kelor menggunakan D-optimal mixture design: Optimasi mi kering yang diperkaya ikan teri dan daun kelor menggunakan D-optimal mixture design
Optimization of dry noodles enriched with anchovy and moringa using D-optimal mixture design: Optimasi mi kering yang diperkaya ikan teri dan daun kelor menggunakan D-optimal mixture design
Jurnal Pengolahan Hasil Perikanan Indonesia · Vol. 29 No. 1 (2026)
- ISSN
- 2354-886X, 2303-2111
- Published
- 2026-02-08
- Publisher
- Department of Aquatic Product Technology IPB University in collaboration with Masyarakat Pengolahan Hasil Perikanan Indonesia (MPHPI)
- Language
- eng
Abstract
Indonesian
Masyarakat Indonesia gemar mengonsumsi mi, mulai dari mi kering hingga mi instan. Kebiasaan ini memengaruhi gaya hidup dan kebutuhan nutrisi untuk pertumbuhan dan kesehatan. Namun, kandungan protein yang rendah menyebabkan perlunya pengayaan sumber protein. Produk mi dapat ditingkatkan kandungan gizinya dengan fortifikasi protein ikan teri dan daun kelor. Penelitian ini bertujuan untuk menentukan formulasi optimal menggunakan D-optimal mixture design berdasarkan karakteristik kimia, fisik, dan sensorik. D-optimal mixture design (Design expert v13) diterapkan untuk mengoptimalkan proporsi pati sagu (55-85%), tepung ikan teri (10-30%), dan tepung daun kelor (5-15%). Sifat kimia, karakteristik fisik, dan penerimaan sensori (skala hedonik 5 poin) dievaluasi. Hasil menunjukkan bahwa formulasi optimal terdiri dari 57,72% pati sagu, 27,28% tepung ikan teri, dan 15% tepung daun kelor, dengan desirabilitas 0,676. Mi yang dioptimalkan menunjukkan kandungan protein yang lebih tinggi (16,97%) sambil mempertahankan skor sensorik yang dapat diterima (warna 3,30, aroma 3,20, dan rasa 2,97). Temuan ini menunjukkan bahwa mi kering berbahan dasar sagu yang diperkaya dengan ikan teri dan moringa dapat berhasil meningkatkan kualitas nutrisi sambil mempertahankan atribut sensorik yang dapat diterima.
English
People in Indonesia like to consume noodles, ranging from dry noodles to ready-to-eat noodles. These habits influence lifestyle and nutritional requirements for growth and health. However, its low protein content necessitates the enrichment of protein sources. Noodle products can increase nutritional content by fortifying anchovy and moringa leaf proteins. This study aimed to determine the optimal formulation using a D-optimal mixture design based on the chemical, physical, and sensory characteristics. A D-optimal mixture design (Design Expert v13) was used to optimize the proportions of sago starch (55-85%), anchovy flour (10-30%), and moringa leaf flour (5-15%). Chemical properties, physical characteristics, and sensory acceptance (5-point hedonic scale) were also evaluated. The results showed that the optimal formulation consisted of 57.72% sago starch, 27.28% anchovy flour, and 15% moringa leaf flour, with a desirability of 0.676. The optimized noodles exhibited higher protein content (16.97%) while maintaining acceptable sensory scores (color 3.30, aroma 3.20, and taste 2.97). These findings demonstrate that sago-based dry noodles enriched with anchovy and moringa can successfully enhance nutritional quality while maintaining acceptable sensory attributes.
Keywords
Collaboration network of the authors
40 authors · 174 co-authorship links · 1 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- National Research and Innovation Agency
- Universitas Borneo Tarakan
- IPB University
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Laela Nuraini | Affiliation unknown | 10 |
| Nirmala Efri Hasibuan | Affiliation unknown | 7 |
| Putri Wening Ratrinia | Affiliation unknown | 6 |
| Aulia Azka | Affiliation unknown | 6 |
| Taufik Hidayat | Affiliation unknown | 6 |
| Raden Cecep Erwan Andriansyah | Affiliation unknown | 6 |
| Mulyono Mulyono | Affiliation unknown | 5 |
| Joko Santoso | Affiliation unknown | 5 |
| Bambang Hariyanto | Affiliation unknown | 5 |
| Indriawati Indriawati | Affiliation unknown | 5 |
| Sandi Sufiandi | Affiliation unknown | 5 |
| U’um Qomariyah | Affiliation unknown | 4 |
| Basri Basri | Affiliation unknown | 4 |
| Maharani Intan Andalas IRP | Affiliation unknown | 3 |
| Muh Suryono | Affiliation unknown | 3 |
| Eko Novi Saputra | Affiliation unknown | 3 |
| Luchiandini Ika Pamaharyani | Affiliation unknown | 3 |
| Talitha Widiatningrum | Affiliation unknown | 2 |
| Mukh Doyin | Affiliation unknown | 2 |
| Mahadi Dwi Mahadi Dwi Hatmoko | Affiliation unknown | 2 |
| Hairati Arfah | Affiliation unknown | 2 |
| Kurnia Sada Harahap | Affiliation unknown | 2 |
| Muhamad Suryono | Affiliation unknown | 2 |
| Inna Novianty | IPB University | 1 |
| Novi Luthfiyana | Universitas Borneo Tarakan | 1 |
| Ratu Sari Mardiah | Affiliation unknown | 1 |
| Yaser Krisnafi | Affiliation unknown | 1 |
| Meilya Suzan Triyastuti | Affiliation unknown | 1 |
| Nusaibah Nusaibah | Affiliation unknown | 1 |
| Ayu Rizki Amalia | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.