Undergraduate Theses

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14578/5

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Estimation of potato (Solanum tuberosum) evapotranspiration using blaney-criddle method in Sitio Gagpang, Brgy. Alegre, Bansalan, Davao del Sur
Dico, Joshua Cedrick (Davao del Sur State College, 2024-01)
This research study aimed to estimate potato (Solanum tuberosum) evapotranspiration using the Blaney-Criddle method in Sitio Gagpang, Brgy. Alegre, Bansalan, Davao del Sur. The study collected temperature data from February to April 2022 and computed the reference evapotranspiration (ETo) and crop evapotranspiration (ETc) across different growth stages of the potato crop. Results show that the mean monthly temperature in the study area is suitable for potato planting, falling within the range of 15 to 20 C. The study also found that potato plants require significant water, and the computed ETo values of 5 mm/day, 4.98 mm/day, and 5.1 mm/day were within the range of water requirements for potato cultivation. Furthermore, the ETc of the potato crop varied across its growth stages, with the highest ETc in the reproductive stage. The findings can guide farmers in managing their irrigation practices and maximizing crop yields. Future studies may continue the investigation to the months beyond April or explore other irrigation systems that could be implemented in the study area. Overall, this study provides valuable information on potato crop evapotranspiration rates in Sitio Gagpang, Brgy. Alegre, Bansalan, Davao del Sur, and can aid in improving potato farming practices in the study area.
Household utilities monitoring system using geofence technology with data analytics
Suizo, Clyde Andrie G. (Davao del Sur State College, 2024-06)
This study was conducted to determine that combining geofence technology into household monitoring systems was an approach to improving utility management and monitoring more efficiently and effectively. While the previously mentioned changes had already been integrated into systems used to monitor household utilities, it was clear that there was a lack of monitoring systems that utilized geofence technology. Such methods were more useful among locals in Don Lorenzo Homes Subdivision, Tres de Mayo, Digos City. As a solution, the monitoring system created in this study achieved the following functions; (1) used a motion sensor as the geofence to cover the entrances and exits of the household with an effective range of 250cm and an effective angle between 60 and 120 degrees, (2) used light and gas sensors integrated into household utilities to gather real-time information with an effective range of 60cm and 20cm respectively, (3) visualized data with the help of bar and line graphs using graphical analytics techniques to display the collected data. Through pilot testing and evaluation, the system gained a 4.2 weighted mean with a remark of GOOD, which demonstrated that employing geofencing techniques increases the efficiency of the homeowner's household utility management. The capstone project stood to make significant contributions to the research field by combining geofence technology and sensors to enhance household utility management. The anticipated benefits in terms of energy efficiency, cost savings, and household utilities management highlighted the project's potential to influence both academic research and practical applications in the smart home domain. The research outcomes could serve as a foundation for further studies, leading to the development of more sophisticated systems and inspiring new approaches to energy efficiency, sustainability, and management.
Yield and quality analysis of bioethanol produced from waste coconut water (Cocos nucifera L.) and sugarcane molasses under different fermentation conditions
Rom, Ferly Jane N. (Davao del Sur State College, 2024-05)
Bioethanol production involves materials containing sugar to be converted into alcohol. It is a process that requires fermentation, where active organisms are utilized to break down sugar and turns them into alcohol. The purpose of this study was to determine the ideal conditions in the fermentation of waste coconut water and sugarcane molasses with initial pH level between 4.0 - 5.0 for six days in order to produce good quality of bioethanol. the experimental samples were laid in complete randomized design (CRD) with three treatments, namely; T 1 (Aerobic), T2 (Anaerobic) and T3 (Aerobic-anaerobic) and each was replicated four times. The parameters assessed were pH level after fermentation, alcohol content (%), ethanol content (%) of the bioethanol. The gathered data was analyzed using One-way ANOVA and LSD at 5% level of significance. Based on the results, T3 obtained the highest mean pH level of 3.15 after fermentation and alcohol content of 1.6%, followed by T2 with a mean pH level of 3.0 and an alcohol content of 1.1%. T1 obtained the lowest mean pH level of 2.92 after fermentation and an alcohol content of 0.4%. The results revealed further that T3 produced highest percentage of ethanol content of 24.4% and yielding 2.8% bioethanol, followed by T2 obtaining 16.4% ethanol content and yielding 1.8% bioethanol. Lastly, T1 got the lowest ethanol content of 3.01% and yielding 1% bioethanol among the tree treatments. The ANOVA results revealed that there's a high significant difference in terms on the pH level after fermentation and alcohol content (%) among the means of the three treatments. Generally, based on the results, the researcher concludes that, T3 (Aerobic-anaerobic) is the most effective condition in the fermentation process of waste coconut water (Cocos nucifera L.) and sugarcane molasses utilizing Saccharomyces cerevisiae for bioethanol production.