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Implementation of Agglomerative Hierarchical Clustering Based on The Classification of Food Ingredients Content of Nutritional Substances



Health is something very precious. Maintaining health can be done in many ways, one of them by keeping your diet. The correct diet will keep your immune system so that it can avoid various diseases. The proper diet will also put the body in a balanced nutrition state, which all need to be nourished. Nutrient requirements include calories, protein, fat, carbohydrates, calcium, phosphorus, iron, vitamin A, vitamin B, and vitamin C with a mass of 100 grams each. To facilitate the search for nutrients needed, then build a system that can categorize food based on its nutritional status and calculate the average value of nutrients in agglomerative hierarchical clustering using average linkage. Calculation of intermediate linkage methods produces data that has some similarities to the data sought nutrients that can be seen from its index, so precise data are in each group. Of the 6 categories of foodstuffs and 10 nutrient contents obtained, the cluster results were selected in the staple food category for testing in cluster 5, obtaining an SI value of 1, in the animal side dish category, in cluster 3, obtaining an SI value of 1, in the test vegetable side dish category. in cluster 4 obtained an SI of 0.846. In the vegetable category, the test in cluster 8 obtained an SI value of 9, in the fruit category, the test in cluster 3 obtained an SI value of 1, and in the egg, fruit and test categories in cluster 4 obtained an SI value of 1.


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Publisher IT Journal Research and Development : Indonesia.,
Collation
005.2
Language
English
ISBN/ISSN
2528-4053
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NONE
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