The inventory of medicinal plants involves collecting and organizing data regarding natural resources for resource management planning and serving as a database to reveal the potential of plants in a given area. This study aims to inventory the types of medicinal plants found in the home gardens of the residents of Negeri Latu, Amalatu District, West Seram Regency. The data collection methods employed were exploration and descriptive surveys. The gathered data was subsequently analyzed to identify the benefits or uses of the plants based on relevant literature. The results indicate that 57 species of medicinal plants were found in the home gardens of the residents of Negeri Latu. These plants possess various properties, including antidiabetic, antimalarial, anti-inflammatory, antioxidant, anticholesterol, anticancer, antidysentery, analgesic, antipyretic, and mosquito-repellent effects. This finding highlights the significant potential of home gardens in Negeri Latu as a rich natural resource of medicinal plants. The diversity of plant species reflects the local traditional knowledge of utilizing flora as a natural solution to various health issues.

According to the Indonesian Internet Service Providers Association (APJII) in 2018, approximately 49.52% of all internet users in Indonesia are aged between 19 and 34 years, with the majority of this age group being students. Prolonged computer use can lead to higher levels of asthenopia compared to other types of work. This study aims to examine the correlation between computer usage duration and the occurrence of asthenopia among students. A correlational design with a cross-sectional approach was employed in this study. A total of 76 participants were included, and data were collected via a questionnaire distributed online using Google Forms, which the respondents completed. The collected data were then analyzed univariately and bivariately using SPSS software. The results indicate that the majority of respondents experienced mild asthenopia, with a percentage of 78.9%. Statistical analysis showed no significant relationship between gender, duration of computer use, eye break intervals, history of major eye diseases, and medication consumption with the occurrence of asthenopia (p>0.05). However, a significant relationship was found between age and the occurrence of asthenopia (p<0.05).