Nutritional Analysis and Macro-Micro Nutrient Profiling of Indonesian Culinary Recipes

This data contains information about a typical Indonesian recipe, including cooking steps, portion sizes, and cooking times. Each ingredient in the recipe is calculated in detail to determine its nutritional content per gram, including calories, protein, fat, carbohydrates, calcium, iron, zinc, and retinol. The data also includes the total nutritional value of the recipe as a whole, providing a comprehensive overview of the nutritional balance of the dish. This analysis process also included identifying missing or missing ingredients in the data to ensure the accuracy and completeness of the information.
This dataset is highly useful for researchers, nutritionists, and app developers who want to better understand the nutritional composition of traditional Indonesian dishes and build apps that provide personalized nutrition recommendations. While this dataset provides extensive insights, it faces limitations related to ingredients not recorded in the TKPI, as well as challenges in converting the amounts listed as "sufficient" to standard units. Nevertheless, this dataset still offers a reliable resource for applications in AI, health, and dietary research.

本数据集收录典型印尼料理的相关信息，涵盖烹饪步骤、食用份量与烹制时长。针对食谱中的每种食材，本数据集详细计算其每克对应的营养成分，包括热量、蛋白质、脂肪、碳水化合物、钙、铁、锌与视黄醇。同时涵盖整道料理的总营养价值，全面展现该菜品的营养均衡状态。本次分析流程还包含对数据中缺失或有误食材的排查工作，以保障信息的准确性与完整性。
本数据集对于希望深入了解传统印尼料理营养构成、并开发个性化营养推荐应用程序的研究人员、营养师与应用开发者而言，具备极高的应用价值。尽管本数据集提供了丰富的分析视角，但仍存在一定局限：部分食材未收录于印尼食品成分表（Tabel Komposisi Pangan Indonesia，简称TKPI）中，同时难以将标注为"适量"的用量转换为标准计量单位。尽管存在上述局限，本数据集仍为人工智能、健康与膳食研究领域的相关应用提供了可靠的资源支撑。