Irrigated rice yielding projection e-application (iRYCE)/

By Evangelista, Romeo P. .
Tuguegarao City, Cagayan: St. Paul University Philippines, 2019 .
xi, 163 leaves : , Using the descriptive and software developmental design, the study developed and evaluated an Irrigated Rice Yield projeCtion E-application (iRYCE) to predict rice yield of irrigated farms in Bayombong, Solano, Bagabag and Quezon, Nueva Vizcaya, Philippines. A total of twenty (20) farmer participants with irrigated rice fields adjacent to each other were the respondents from the four municipalities. While forty (40) system evaluators and end users from the academe, DA planning officer, ICT program developer and agriculturist/technician evaluated the proposed iRYCE application. A questionnaire, interviews, and observations were conducted from the field practices of the farmers with all the inputs in the conceptual paradigm of this study. The researcher used frequency count and percentage distribution, mean, chi-square, pearson rand linear regression analysis to predict and determine the extent of relationship of projected rice yield with the result of soil analysis, average yield of the participants per annum, rice variety, fertilizer application, number of days of rice seedling before transplanting and harvesting. Dynamic System Development Method Framework was utilized as its guide in the development of the iRYCE application. As a result, Nitrogen nutrient of the soil samples from the four municipalities had a low qualitative description. Phosphorous nutrient test had a qualitative description distributed from low to high and Potassium had a high qualitative description. The municipality of Solano had an average description rating in terms of average yield per annum while the three other municipalities had a descriptive rating of low. The overall rice varieties that were utilized by the farmer participants were RC 222 (45%), RC 226 (25%), RC 216 (12.5%), RC 152 (10%), RC 440 (5%) and RC138 (2.5%). Majority of the farmer participants followed fifteen days (15) after transplanting in their fertilizer application of side dress. While the days before harvesting practice of the farmer participants had a range from 108 to 115 days. Findings showed that the extent of software compliance as evaluated by system evaluators revealed that the proposed system was accepted unconditionally based on ISO 25010 criteria. The results showed that the overall features of the system with respect to ISO criteria were all met. Index Terms: Developed system, Dynamic System Development Method Framework, Soil analysis | Thesis (Doctor of Information Technology) 28 cm..

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Rural health unit decision-support system with mapping/

By Tiongson, Joan Hazel V. .
Tuguegarao City, Cagayan: St. Paul University Philippines, 2021 .
v, 37 leaves : , In this highly challenging and demanding world, the presence of data and technology is overwhelming. The Rural Health Unit (RHU) of the Municipality of Solano, Nueva Vizcaya is currently using a manual system in terms of implementing medical services and patient profiling. A descriptive-developmental Interviews, research method, particularly observations, and document scanning, was conducted in order to gather data relevant to the objectives of the study. During the interviews, different problems on medical services were encountered in this manual method such as tedious work in assessing health conditions, difficulty in diagnosing, and high time consumption in backtracking previous health records. As regards patient profiling, there was difficulty in data processing because patient records were sifted from various source documents, there was a lack of confidentiality and security because of the absence of central storage, among others. With the extraordinary availability of data, these issues could be handled using data mining techniques to predict disease occurrences. In this study, clustering and classification techniques were utilized to predict disease occurrences of every barangay of the municipality at a given time. An efficient records-management system along with a decision-support system was developed to meet the challenges of the RHU. It mainly features the disease-occurrence mapping to assist physicians and other health professionals in their decision-making tasks particularly in diagnosis, treatment, and recommendations. In terms of the ISO/IEC 25010 Software Quality Standards, the system was assessed to have a "very great extent" of compliance. | Thesis (Master in Information Technology) 28 cm..

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Irrigated rice yielding projection e-application (iRYCE)/

Rural health unit decision-support system with mapping/