Rosa Andrie Asmara, Moch. Zawaruddin Abdullah, Fanina Meidina Wahyuningtyas
A survey conducted by the Indonesian Ministry of Health shows that the obesity level of Indonesian citizens is increasing after time significant lately. In the modern era, Health factors and body weight maintenance becoming a high priority for professional people to perform and look better in public. Another survey also shows that Indonesia is having two nutrition problems, malnutrition, and obesity (overnutrition). To overcome obesity, many industries and companies have competed to release nutritional healthy product to maintain body weight. These products could be in the form of food or drinks. in the form of drinks, some popular products are powder or liquid milk. One company focusing on this industry is Herbalife Inc. Herbalife product sales through their official online and offline stores, and also through nutrition house club to easily getting closer to their customer needs. This research will focus on one nutrition house club called Fresh Club to develop a Herbalife product recommendation by predicting customer health. Some parameters used to predict customer health and these parameters are taken from Tanita Herbalife's body measures. All the parameters will be calculated and used to decide which product suits their need.The recommender system proposed will implement Mamdani Fuzzy logic. Some parameters/criteria used to recommend Herbalife product are age, water, fat, bone mass, stomach fat, and body posture. The experiment shows that the recommender system in Fresh Club using Mamdani Fuzzy Logic achieves 88.3% recommendation accuracy compare with the expert recommendation. © 2020 IEEE.
State Polytechnic of Malang, Information Technology Department, Malang, Indonesia