The purpose of this study was to determine the effect of learning models and nutritional status on the physical fitness of grade VII students of SMPN 21 Padang. This research model is a pseudo-experiment designed by Factorial by Level 2x2. The population of this study amounted to 119 people and a sample of 60 people with the Purposive Random Sampling technique. Collection of Nutritional Status data by tests using Body Mass Index (BMI) and Physical Fitness using the Indonesian Physical Fitness Test (TKJI) Age 13-15 years. Data were analyzed using two-path ANAVA at significance level α=0.05. Furthermore, because no interaction was found between the learning model and physical fitness, the Tukey Test was not carried out. The results of the data analysis showed: (1) Overall there was no difference in the learning outcomes of the PjBL learning model with the Case Method learning model, (2) There was no interaction between the learning model and nutritional status on physical fitness, (3) Physical fitness of students treatment of PjBL learning model is better than Case Method learning model in high nutritional status group, (4) Physical fitness of students treatment of PjBL learning model is better than Case Method learning model in low motor group.

The problem of this research is the low motor skills of children in the Pancung Sol Pesisir Selatan sub-district. The low motor skills of children are influenced by several factors, such as physical fitness, play activities and nutritional status. This study aims to reveal direct and indirect effects, as well as the simultaneous influence between variables. This type of research is quantitative associative with a path analysis approach. The population in this study were all 3rd and 4th grade students at several elementary schools in Pancung, South Pesisir Selatan sub-district, totaling 60 people. Samples were taken using purposive sampling. Physical fitness instruments using TKJI, playing activities using a questionnaire, nutritional status using BMI and children's motor skills using the Scott motor ability test. Data were analyzed by path analysis through structural model testing at α = 0.05. The results of hypothesis testing show: (1) there is a direct effect of physical fitness on motor skills (py1 = 0.334 or 11.1%), (2) there is a direct effect of play activities on motor skills (py2 = 0.349 or 12.1%), ( 3) there is a direct effect of nutritional status on motor skills (py3 = 0.440 or 19.3%), (4) there is an indirect effect of physical fitness on motor skills through nutritional status (p31.py3 = 0.234 total effect of 32.3%), (5) there is an indirect effect of play activity on motor skills through the nutritional status of students (p32.py3 = 0.272 total effect of 38.6%), and (6) there is an effect of physical fitness, play activity and nutritional status together with the ability motor (Rsquare = 0.931 or 93.1%).