The web application will provide the needed reports for the data manager/analyst and also it will be available on android devices for data enumerator’s collection of data

The web application will provide the needed reports for the data manager/analyst and also it will be available on android devices for data enumerator’s collection of data. The development focuses on upgrading and enhancing the NSAP database system that aims for a fast and accurate data gathering, transfer and reports.
The NSAP database system current state, the data entry is not user-friendly, the design is not clear, not concise, not intuitive and unattractive, the user interface is confusing to use, on the file maintenance modifying or altering the data is on the database itself.
The Bureau of Fisheries and Aquatic Resources (BFAR) is a government agency that is responsible for the development, improvement, management and conservation of the country’s fisheries and aquatic resources (Bureau of Fisheries and Aquatic Resources, 2014). One of the main focus of the BFAR is to ensure sustainable management of aquatic resources in the country to achieve food security, a situation that needs for a countrywide detailed assessment as basis to formulate management options. Based on this demand, the National Stock Assessment Program (NSAP) was conceptualized and implemented by BFAR to provide standardized and continuous information on fishery resources, specifically, fish catch statistics and biological information, which are fundamental for fisheries management. The NSAP database system was developed to serve as the national platform of all regional NSAP for easy exchange and validation of information. This helps in enhancing fish catch and effort monitoring by serving as an efficient system for effective storing and management of the time series raw collected information from all regional NSAP forms, and by providing both the national government, local government, and stakeholders the status of the country’s fishery resources in real time. The ultimate goal of this database system is to develop the best strategy for effective fisheries management intervention in the country (Bureau of Fisheries and Aquatic Resources, National Fisheries Research and Development Institute, 2017). The NSAP database system is a non-web-based application made by using Microsoft Access, the problem of this system is it lacks organization and using it led confusion to the users. In order to gather real time data and to improve the current status of the system, the proponents propose an android application and a web application that will enhance and upgrade the current system and will provide an up-to-the-minute information in the field work.
The methods used by National Stock Assessment Program (NSAP) to conduct surveys at landing sites start with the enumerators taking samples from at least 10% of the landed boats by gear. The enumerator conducts survey by logbooks, this method is effective for large-scale, particularly for boats that stay in the fishing ground for a considerable length period. Data on catch ; effort are recorded thru logbook. Generally, commercial boats keep their own navigation and fishing logs (Bureau of Fisheries and Aquatic Resources, National Fisheries Research and Development Institute, 2017). The enumerator collects data through direct interview of the fishers or fishing operators and takes notes of (1) total landed catch, (2) fishing method or fishing gear used and (3) fishing effort which includes the recording of the actual catch sampling, and determining of the total weight of catch; sorting by species and determining the total weight per species; taking sub-samples per species and measuring the length and weight; lastly, recording of the data that contain all the important information needed. The data are then inputted into the current NSAP Database System (NSAP DB), designed to establish efficient means of storing, managing and retrieving data for analytical purposes but current system doesn’t meet this objectives. The analyzed data are used as primary basis for BFAR in determining the present situation of fisheries as well as the status of the fishery resources and developing fisheries policies or regulations and management strategies towards sustainable fisheries (Muthnainna, Suryati, Sawestri, & Honda, 2017).
Hand held gadgets are now a trend and it is the most convenient device to use in any work that needs communication from the office to the field works where the documents may be lost or damage before it reaches its destination. Smartphones can be used in much more advance ways by presenting rich media survey questions directly to respondents or to help guide the actions of an ‘enumerator’ (someone who administers a survey in person) by presenting a user-friendly interface to help an enumerator input and transmit data in structured ways. Data input or captured into phones may be transmitted or shared in many ways (including SMS, MMS, USSD, Bluetooth, wireless Internet, or the exchange of physical memory cards). A number of attributes and characteristics of mobile phone use in such activities (as well as the use of other small, low-cost portable devices such as tablets, especially where such devices can be connected to mobile and wireless networks) may lead them to be considered, especially when compared with the use of more traditional, paper-based survey instruments. When collecting data’s using mobile phones or any gadgets can greatly speed up the data collection process and can also reduce transcription errors where data lost is prevented in transfer over mobile network or internet connection. The convenience in using mobile devices in any transaction will benefit both the enumerator and respondents who are already comfortable using a mobile device and less technical training for the people who already know how to use the device for many purposes. Data can be combined with data’s in other formats as a way to prove the information provided by text. Data collection through the use of mobile devices can be done at considerable lower costs (Trucano, 2014).
Over recent years Web Based Systems have evolved due to improvements in security and technological advances and in many cases, Web Based Systems offer significant advantages compared to traditional software-based applications. Access to a Web Based System can be gained from any location as long as the user has access to a web browser and an internet connection (PJ Web Solutions Ltd, 2012).
Advantages of using Web-based project management is it’s easy to access your files. User-friendly interfaces that make them easy to learn, so it’s just like using another website. Another benefit is that you can access files from anywhere. Whether your team is in the office, at home or on the road, they can still get hold of the latest project schedule. This gives you some security benefits too, as there is no need to copy files onto a flash drive which could get lost. Instead, you can access the latest copy of everything from wherever you happen to be. Secondly, get information in real time. There’s no excuse for not being able to keep everything up to. Your team members can complete their timesheets, update their tasks and record their status as they go (Nazli, 2015).
The data’s and information gathered from the different fishing grounds in the Philippines have been reported to be either inadequate or far from complete and not timely (Bureau of Fisheries and Aquatic Resources, National Fisheries Research and Development Institute, 2017), where data collection takes too long before it is validated by the data managers/analyst since the data gathered still needs to be transferred to the current NSAP Database System from the paper data sheets used by the enumerators. The current system is a non-web-based application which is not likely best for real time data gathering where it will only be access through one computer and if data transfer is needed it will take a lot of time and some risks may occur. To give solution to the problem, this study can help the enumerators gather the data for consolidation and to lighten the work load of the data managers/analyst.