Undergraduate Theses
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14578/5
Browse
Search Results
Item Household utilities monitoring system using geofence technology with data analyticsSuizo, 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.Item Web-based agri-fisheries e-commerce market systemSentillas, Angelito Jr. (Davao del Sur State College, 2024-06)This study delves into the conceptualization, development, and implementation of such systems, exploring their potential to connect farmers, fishermen, and consumers directly which addresses the ease of product marketing using the system with map integration. Furthermore, the project sought to provide a user-friendly, buyer homepage which displays all the products, allows the buyer to add products to cart, provides a map which displays all the store location and the routing, and enable the user to create its own shop. Additionally, it allows the seller to add and manage products, and manage orders. It also enables the super admin to manage users, categories, products, and tract the user logs. Moreover, the system has utilized the rapid application development methodology to develop the project. The project achieved its goal of successfully implemented e-commerce system where seller can sell their products and buyers to buy products they want with integrated mapping system where user can view store location and its routing from buyer to the store. This implementation helped our local farmers, fishermen, and consumers by providing a website that allows the user to buy and sell their product online. In addition, this promote a wide range of marketing which give a lot of advantage for both users. The findings and insights gained from the study contribute to advancement of web-based Agri-fisheries e-commerce system, offering practical guidance and recommendation for stakeholders in the agriculture and fisheries sectors.Item Spring onion disease detection and treatment recommendationTalaid, Nikko R. (Davao del Sur State College, 2024-06)Spring onion is a delicate crop that demands much attention during its cultivation; diseases such as the purple blotch and leaf blight affect spring onion crops and, in any case, prevention of these diseases is rather complicated to detect. Study aims to diagnose the diseases correctly and make suitable recommendations on the treatment needed. The researcher created an app that help in identifying the spring onion disease and would offer recommendations on how to treat such disease. In developing the app, the researcher used Android studio and Google Colab for datasets training. The technique used in choosing the survey participants is simple purposive random sampling and self-constructed checklist based on the ISO 9124 Likert scale to rate the app's functionality, reliability, and usability. The app is ideal for small and big farmlands, especially in regions without an internet connection, and during an experimental test, it gained an accuracy of 90% in the purple blotch and 93% in leaf blight-captured crop diseases within a 3-inch range. The significant results of this study include the application's ability to detect two types of diseases, namely purple blotch and leaf blight, and its ability to provide personalized treatments, such as recommendations, chemical treatments, and care tips, based on the specific disease detected. The app's contribution to the farming community is its ability to detect crop diseases early, simplify disease detection techniques, increase harvests, decrease chemical use, and prevent minor spring onion problems that could result in major outbreaks and damage large farmlands.Item Android-based classroom attendance monitoring system using QR technology with SMS notificationGenobisa, Kenneth N. (Davao del Sur State College, 2024)This paper introduces an innovative Android-based classroom attendance monitoring system aimed at overcoming the limitations of traditional manual tracking methods within educational environments. By harnessing SMS notifications and QR codes, the system seeks to enhance both accuracy and efficiency. The system utilizes individual QR codes assigned to students to streamline attendance recording, eliminating the need for manual data entry and reducing errors. eliminating the need for manual data entry and reducing errors. Furthermore, automatic SMS notifications promptly update parents on their student's attendance status, thereby promoting transparency and communication between home and school. The study outlines the developmental objectives of various modules, including storing attendance data, scanning QR codes, managing user accounts, and generating reports. It emphasizes functionality, usability, and reliability in system design. The research's significance lies in its potential to enhance the effectiveness and transparency of attendance monitoring, benefiting school administrators, students, parents, and future researchers alike. Deployed initially at Alfredo Eugenio Sr. Elementary School, the system addresses challenges such as mobile network stability and device reliability, thereby contributing to advancements in educational technology and attendance managementItem Yield and quality analysis of bioethanol produced from waste coconut water (Cocos nucifera L.) and sugarcane molasses under different fermentation conditionsRom, 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.Item Conductive effect of ferric chloride (FeCl3) on carbonized Chloris barbata Sw. stem via activation-carbonization-pyrolysis methodRetiza, Debie T. (Davao del Sur State College, 2024-05)This study was conducted to determine the conductive effect of ferric chloride (FeCl3) on carbonized Chloris barbata sw. stem via the activation-carbonization-pyrolysis method. The study was accomplished utilizing a Completely Randomized Design, which comprised five (5) treatments and three (3) replications. The activated carbon produced was made using C. barbata stem and ferric chloride (FeCl3) at different molar concentrations. Control -no FeCl3(T1), 1 molar concentration (T5). The study was carried out to determine the electrical conductivity, surface characteristics in terms of pore and elemental composition, surface area, and the cost analysis of the activated carbon. The data were analyzed using One-Way ANOVA of variance at 1% and 5% significance levels, Scanning Electron Microscope (SEM), Energy Disperse X-ray Spectroscopy (EDX), Brunauer-Emmett-Teller (BET), and Fourier Infrared Spectroscopy (FTIR). The results revealed that the electrical conductivity of all treatments was shown to be statistically highly significant. According to the findings, T5 (4 M) registered the highest electrical conductivity at 2677.06 x 10-6 μS/m. It was also found to display micropore structure and various organic and inorganic functionalities, register relatively low surface area, and more acceptable production cost per unit mass.Item Adsorption of methylene blue by magnetized achiote (Bixa orellana) pericarp ash: Effect of pH and kineticsArellano, Jeramay, M. (Davao del Sur State College, 2024-06)Wastewater management has long been a significant issue for society. In the Philippines, achiote pericarp is often considered an agricultural waste. It is typically left in open fields or burned in the open air near the trees where they are harvested. This study explores the potential use of this waste material (achiote pericarp ash, APA) in removing dye from liquid solutions. To improve the adsorption capacity of APA, it is necessary to incorporate Fe3O4 into it. This will enhance its ability to effectively adsorb Methylene blue solution. To address this, APA had been impregnated with Fe3O4 nanoparticles to produce magnetized APA (MAPA). The APA used in this study was sourced from the farmlands of J. P. Laurel Malungon, Sarangani, Philippines. An adsorption experiment was thoroughly conducted, investigating the effects of pH and kinetic changes. The MB adsorption process was found to fit with a pseudo-quadratic model, with maximum adsorption observed at pH 10. The identification of functional groups presents before and after magnetization was conducted using Fourier transform infrared spectroscopy (FTIR). Among theme were -OH (intramolecular H-bond), O=OH (phosphorus oxoacid), -CO-CH3 (ketone), -OH (primary alcohol), and -SiCl3 (silicon compounds). These findings encourage farmers to reuse agricultural waste as a valuable product. Future related research could investigate the use of a different dye color or another type of biomass. Ultimately, this investigation provides significant knowledge about the potential role of agricultural by-products for wastewater treatment processes.Item Automated misting and android-based monitoring system for oyster mushroom (Pleurotus SP.) productionCabrera, Cedie Vince E. (Davao del Sur State College, 2024-06)This study was conducted to maintain optimal temperature and humidity, which is crucial for oyster mushroom growth; otherwise, it could impede mushroom development. An automated misting and Android-based monitoring system was developed to address this challenge. Other studies have used an automated mister; however, system monitoring is unavailable. Davao del Sur State College mushroom facility relies entirely on environmental temperature and humidity. The findings are as follows: A DHT11 sensor was used to read the temperature and humidity within a 5cm range from the sensor, spray mist when the DHT11 sensor detects a temperature of 28 degrees celsius and 72% relative humidity, HC04 Ultra-Sonic Sensor is used for water refill automation when the water reaches 7cm away from it, display humidity, temperature, and water level at 5 second intervals, and generate a graph based on average temperature, humidity, and water level calculated per month. The result of the study contributes to the agricultural aspects, specifically in mushroom farming, hence decreasing the farmer's workload and increasing the harvest yield, farming automation, and academic research. The research outcome is a foundation for new studies leading to a better understanding of farming with a more enhanced system for a better farming yield.