Jurnal SINTA 2
Implementasi Topsis untuk Menentukan Rekomendadi Makanan Anak Usia 1-3 Tahun pada Sistem Monitoring Tumbuh Kembang Anak
Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 8 No. 4 (2021) · pp. 839–844
- ISSN
- 2528-6579, 2355-7699
- Published
- 2021-07-22
- Publisher
- Fakultas Ilmu Komputer, Universitas Brawijaya
- Language
- id
Abstract
AbstractPenting bagi orang tua untuk memperhatikan pertumbuhan anak secara teratur terutama pada saat periode emasnya. Usia emas pada anak berada pada saat 1000 hari pertama sejak kelahiran atau hingga anak berusia 2 tahun, tumbuh kembang anak dapat meningkat sangat signifikan pada usia ini. Pertumbuhan anak dapat maksimal apabila nutrisi yang diberikan juga tepat sejak usia lahir sampai 3 tahun. Stunting (kerdil) merupakan salahsatu penyakit yang disebabkan karena kurangnya nutrisi pada anak. Stunting adalah sebuah kondisi dimana bayi memiliki panjang dan tinggi badan yang lebih rendah daripada bayi pada umumnya. Pola asuh orang tua terhadap bayi secara mandiri menjadi sangat diperlukan. Untuk membantu orang tua dalam memantau tumbuh kembang anak serta mengurangi peningkatan jumlah bayi stunting maka dibangun sistem monitoring tumbuh kembang anak berbasis web. Pada sistem ini terdapat fitur untuk memberikan rekomendasi makanan berdasarkan kebutuhan kalori setiap anak. Dalam menentukan rekomendasi makanan diperlukan metode Sistem Pendukung Keputusan (SPK) sesuai dengan kebutuhan kalori anak. Dalam penerapan SPK, terdapat metode yang dapat digunakan untuk melakukan analisis data antara lain adalah metode Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Alternatif yang digunakan meliputi nama makanan yang dapat dikonsumsi oleh anak usia 1 sampai dengan 3 tahun. Sedangkan kriteria yang digunakan adalah kalori yang didalamnya terdapat karbohidrat, lemak, protein, dan kalsium. 3. Hasil perankingan yang diberikan oleh TOPSIS pada telah berhasil memberikan perankingan dengan nilai yang berbeda-beda, kecuali pada beberapa alternatif. Hal itu dikarenakan kesamaan nilai dari kedua alternatif pada setiap kriteria. AbstractIt is important for parents to pay attention to the growth of the child in the golden period. The golden age in children remains in the first 1000 days from birth or until the child is born 2 years, child growth and development can increase very significantly at this age. The number of children who can reach a maximum age of 3 years. Stunting is a disease that causes nutritional deficiencies in children. Stunting is a place where babies have a lower length and height than a baby's place in general. Parenting for independent babies is needed. To help parents in developing child growth and development also increase the number of stunting babies a web-based growth and development monitoring system was built. This system provides features to provide food recommendations based on the calorie needs of each child. In determining food recommendations, a Decision Support System (SPK) method is needed in accordance with the calorie needs of children. In the application of SPK, methods that can be used to analyze data include the Technical Method for Preference Order with Similarity to Ideal Solution (TOPSIS). The alternatives used are the names of foods that can be consumed by children aged 1 to 3 years. While the criteria used are calories in fat, fat, protein, and calcium. 3. The ranking results given by TOPSIS have succeeded in ranking them with different values, except for a number of alternatives. That's because it considers the value of the two alternatives on each criterion.
Collaboration network of the authors
40 authors · 80 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.
- University of Brawijaya
- Akademi Komunitas Negeri Putra Sang Fajar Blitar
- 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 |
|---|---|---|
| Bayu Priyambadha | University of Brawijaya | 8 |
| Retno Indah Rokhmawati | University of Brawijaya | 5 |
| Fitri Utaminingrum | University of Brawijaya | 3 |
| Imam Cholissodin | University of Brawijaya | 3 |
| Satrio Agung Wicaksono | University of Brawijaya | 2 |
| Achmad Basuki | University of Brawijaya | 2 |
| Muhammad Wafi | University of Brawijaya | 2 |
| Novanto Yudistira | University of Brawijaya | 2 |
| Herman Tolle | University of Brawijaya | 2 |
| Aisyah Awalina | University of Brawijaya | 2 |
| Aditya Rachmadi | University of Brawijaya | 2 |
| Mochammad Dearifaldi Al Ikhsan | University of Brawijaya | 2 |
| Muhammad Zulfikarrahman | University of Brawijaya | 2 |
| Diva Fardiana Risa | University of Brawijaya | 2 |
| Intan Yusuf Habibie | University of Brawijaya | 2 |
| Joseph Ananda Sugihdharma | University of Brawijaya | 1 |
| Rizal Setya Perdana | University of Brawijaya | 1 |
| Nathanael Victor Darenoh | University of Brawijaya | 1 |
| Ripto Mukti Wibowo | Akademi Komunitas Negeri Putra Sang Fajar Blitar | 1 |
| Aulia Akhrian Syahidi | University of Brawijaya | 1 |
| Fajerin Biabdillah | University of Brawijaya | 1 |
| Mochammad Adhy | University of Brawijaya | 1 |
| Elke Cahya Putri | University of Brawijaya | 1 |
| Nanang Yudi Setiawan | University of Brawijaya | 1 |
| Iqbal Taufiq Ahmad Nur | University of Brawijaya | 1 |
| Indra Syahputra | University of Brawijaya | 1 |
| Bayu Sutawijaya | University of Brawijaya | 1 |
| Sulandri Sulandri | University of Brawijaya | 1 |
| Akhmad Saâ€TMrony | University of Brawijaya | 1 |
| Ilham Firmansyah | University of Brawijaya | 1 |
| Guedho Augnifico Mahardika | University of Brawijaya | 1 |
| Andreas Pardede | University of Brawijaya | 1 |
| Zaien Bin Umar Alaydrus | University of Brawijaya | 1 |
| Aisyatul Maulidah | University of Brawijaya | 1 |
| Adam Syarif Hidayatullah | University of Brawijaya | 1 |
| Budi Darma Setiawan | University of Brawijaya | 1 |
| Muhammad Nugraha Delta Revanza | 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.