Jurnal SINTA 2
Penentuan Komposisi Bahan Makanan Bagi Penderita Gagal Ginjal Akut Dengan Algoritma Genetika
Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 4 No. 1 (2017) · pp. 1–7
- ISSN
- 2528-6579, 2355-7699
- Published
- 2017-01-23
- Publisher
- Fakultas Ilmu Komputer, Universitas Brawijaya
- Language
- en
Abstract
AbstrakPenyakit ginjal merupakan penyakit yang ganas, dimana jika penanganan yang dilakukan secara tidak tepat, maka akan mempengaruhi kualitas hidup penderitanya. Selain mengandalkan perawatan medis, individu yang menderita penyakit ini harus sadar diri dengan kondisi kesehatannya. Untuk mengatur diet makanannya, penderita memerlukan suatu sistem yang mampu menentukan komposisi bahan makanan bagi penderita penyakit ginjal secara cepat dan tepat. Oleh karena itu penulis memberikan solusi berupa sistem penentuan bahan makanan apa saja yang tepat gizi bagi penderita penyakit ginjal akut menggunakan algoritma genetika, dimana pengodean yang digunakan adalah real code. Nilai Gizi dari makanan diambil dari PUGS (Pedoman Umum Gizi Seimbang) dan ensiklopedi. Algoritma yang digunakan dalam penentuan komposisi bahan makanan bagi penderita gagal ginjal akut ini ialah algoritma genetika, langkahnya meliputi: inisialisasi kromosom dimana setiap kromosom terdapat 5 gen berupa indeks dari bahan makanan, kemudian dilakukan inisialisasi probabilitas crossover dan mutasi untuk proses reproduksi, dilanjutkan dengan evaluasi menggunakan perhitungan fitness yang disesuaikan dengan rumus, dan tahap akhir ialah melakukan seleksi dengan menggunakan elitism selection untuk menghasilkan kandidat bahan makanan baru untuk diproses pada iterasi berikutnya.Kata kunci: komposisi bahan makanan, gagal ginjal akut, algoritma genetikaAbstractKidney disease is a malignant disease, where if the treatment is done incorrectly, the sufferer’s qualitiy of liife can be affected by incorrect treatment. In addition to relying on medical care, individuals who suffer from this disease should be aware of themselves with the condition of his health. To arrange food diet, the patient requires a system that can determine the composition of food for kidney disease quickly and accurately. Therefore, the authors provide a solution with determination system for any food ingredient proper nutrition for patients with chronic kidney disease using genetic algorithms, where the coding used is real code. Nutritional value of food taken from PUGS (General Guidelines Balanced Nutrition) and encyclopedia. The algorithm used in determining the composition of foodstuffs for patients with acute renal failure this is a genetic algorithm, the steps include: initialization chromosome where each chromosome there are five genes in the form of index of groceries, then do the initialization probability of crossover and mutation to the reproductive process, followed by an evaluation using fitness calculations to the formula, and the final stage is to make the selection by using elitism candidate selection to produce new food material to be processed in the next iteration.Keywords: food composition, acute renal failure, genetic algorithm
Collaboration network of the authors
40 authors · 112 co-authorship links · 3 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.
- University of Brawijaya
- Universitas Amikom Purwokerto
- 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 |
|---|---|---|
| Arief Andy Soebroto | University of Brawijaya | 3 |
| Daneswara Jauhari | University of Brawijaya | 3 |
| Dhimas Anjar Prabowo | University of Brawijaya | 3 |
| Sutrisno . | Affiliation unknown | 2 |
| Nurul Hidayat | University of Brawijaya | 2 |
| Canny Amerilyse Caesar | University of Brawijaya | 2 |
| Latifah Hanum | University of Brawijaya | 2 |
| Muhammad Fhadli | University of Brawijaya | 2 |
| Anang Hanafi | University of Brawijaya | 2 |
| Listiya Surtiningsih | University of Brawijaya | 2 |
| Fitra Abdurrachman Bachtiar | University of Brawijaya | 2 |
| Ahmad Afif Supianto | University of Brawijaya | 1 |
| Randy Cahya Wihandika | University of Brawijaya | 1 |
| Maria Tenika Frestantiya | University of Brawijaya | 1 |
| Ziya El Arief | University of Brawijaya | 1 |
| Candra Dewi | University of Brawijaya | 1 |
| Rina Christanti | University of Brawijaya | 1 |
| Budi Darma Setiawan | University of Brawijaya | 1 |
| Rekyan Regasari Mardi Putri | University of Brawijaya | 1 |
| Lailil Muflikhah | University of Brawijaya | 1 |
| Muhammad Syafiq | University of Brawijaya | 1 |
| Achmad Jafar Al Kadafi | University of Brawijaya | 1 |
| Rizka Husnun Zakiyyah | University of Brawijaya | 1 |
| Wanda Athira Luqyana | University of Brawijaya | 1 |
| Uswatun Hasanah | Universitas Amikom Purwokerto | 1 |
| Lintang Resita Mayangsari | University of Brawijaya | 1 |
| Andhica Pratama | University of Brawijaya | 1 |
| Mochammad Ainun Najib | University of Brawijaya | 1 |
| Handika Agus Fauzi | University of Brawijaya | 1 |
| Sutrisno Sutrisno | University of Brawijaya | 1 |
| Aryeswara Sunaryo | University of Brawijaya | 1 |
| Maryamah . | University of Brawijaya | 1 |
| Moh. Fadel Asikin | University of Brawijaya | 1 |
| Daisy Kurniawaty | University of Brawijaya | 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.