Sistem Rekomendasi Buah Menggunakan Metode Prototype

Fruits contain various essential nutrients such as vitamins, minerals, fiber, and antioxidants that are beneficial for health. However, not all fruits are suitable for consumption by people with certain diseases such as diabetes, cholesterol, and digestive disorders, among others. A common problem is that people are confused about choosing the right fruit for their health condition because there is no clear guide. This study aims to develop a web-based fruit recommendation system to help people choose the right fruit based on disease characteristics and taste. This study involved the general public with 267 respondents obtained through questionnaires and direct interviews with nutritionists at the Sungaialam Community Health Center. This study used a prototype method. This system was developed using the PHP programming language and a MySQL database. The approach used is Knowledge-Based Recommendation, this system can provide fruit suggestions based on disease characteristics and taste data. This system also displays information such as fruit names, nutritional content, and benefits. Test results show that the system is able to provide accurate recommendations, according to user desires and needs, and is easy to use. In conclusion, this system can be a practical solution in helping people choose fruit that is suitable for their health conditions to support a healthy lifestyle.