Thesis Bachelor of Science in Computer Engineering University of Rizal System-Morong 2024

This study aimed to develop a Cacao (Theobroma cacao) Automated Preserving Machine and assess its acceptability in terms of functional suitability, usability, reliability, security, and maintainability. The research was conducted at RNC Organic Farm in Sampiro, Tanay, Rizal during the 2023-2024 academic year. Data was gathered from 10 participants: 2 agricultural experts and 8 farmers from the Tanay Municipal Agricultural Office. A researcher-modified questionnaire checklist aligned with the study's objectives was used for data collection. This checklist, utilizing a 5-point Likert scale with corresponding verbal interpretations, measured the machine's acceptability. The study employed a mixed-method approach, utilizing both developmental and descriptive research methods. The developmental method facilitated the systematic creation of the machine, while the descriptive method enabled data collection and presentation for accurate solution development. This combination ensured the researchers met the necessary requirements for developing the cacao automated preserving machine. Evaluation by the respondents indicated that the Cacao (Theobroma cacao) Automated Preserving Machine was perceived as 'highly acceptable.' Usability, security, and maintainability received the highest weighted mean (4.3), interpreted as 'highly acceptable.' Functional suitability and reliability received a weighted mean of 4.2, verbally interpretated as 'highly acceptable.' The machine utilized a combination of infrared heat, a humidity sensor, and a thermocouple to create an optimal post-harvest storage environment. This significantly extends shelf life, minimizes quality degradation, and reduces economic losses for farmers. Both agriculturists and farmers commented that the machine would be a significant aid to cacao bean processing and expressed hope for its introduction to small-scale farmers and cacao farming organizations. Potential improvements include double walling, solar panels, use of IoT (Internet of Things), and a contact moisture meter. Future research may explore the combined application of these recommendations to enhance the machine and promote more sustainable cacao farming practices.