Work-related musculoskeletal disorders (WMSDs) are most prevalent occupational health issues that could affect employees physically and socially. Ponorogo regency has several traditional manufacturing industries that support regional economic growth. The issues in this sector include the low adoption of current technology and the predominance of manual handling techniques, which raises the risk of WMSDs among employees. Based on SNI no. 9011:2021, the National Standardization Agency (BSN) establishes standards to evaluate possible ergonomic risks in the workplace. However, not every industry, particularly small ones, has a procedure for auditing these risks. This study aims to develop a model to evaluate WMSDs risks based on spesific work posture among traditional manufature industries. Using cross-sectional data collecting method, 250 workers participated in this observational study as respondents who were randomly selected using a stratified random sampling. Strata were determined by company scale. The model were designed by WMSDs as dependent variable and ergonomics hazard risks as determinants consisting of 10 indicators (arm movement, hand effort, awkward posture, direct pressure, vibration, environment, control of work rhythm, pushing/pulling, keyboard usage, and manual handling). Neural networks algorithm is used to determine the relationships path among variables. The result finds that arm motions (2.5), uncomfortable postures (2.4), and rhythm control (2.3) had the largest risk weight for WMSDs. Neck (8.2), right shoulder (6.6) and calf (6.1) are the body parts that most exposed to the WMSDs risk due to work factor. The data modelling show that complaints on each body part are caused by specific work postures.