Lutheran Deaconess Association Tool Suite

Faculty Sponsor

Nicholas S. Rosasco


Arts and Sciences


Computing and Information Sciences

ORCID Identifier(s)

Brian Vidal: 0000-0002-6357-6715; Dakota Phillips: 0000-0003-3573-2431; Emanuel Daggett: 0000-0003-0569-3478; Brian Sukowicz: 0000-0002-4418-0969; Nina Tadic: 0000-0003-2139-3424

Presentation Type

Poster Presentation

Symposium Date

Spring 5-3-2019


The Lutheran Deaconess Association (LDA) currently maintains member information in an Excel spreadsheet. Each row of the spreadsheet contains a person’s name, email address, mailing address, and phone number. In order to share this information with various other members, a list is compiled and emailed out to the LDA once a year. Unfortunately, this makes it difficult to share any newly updated information. In response to this issue, the LDA requires that their member information be hosted and visible on a website, where information is easily searchable and quickly modifiable. The information will be displayed in a list which can be updated manually by uploading the most recent copy of the spreadsheet, or automatically by linking to Microsoft OneDrive or Google Sheets. The application functions by taking data from the Excel spreadsheet and breaking them down into JSON objects. These JSON objects are then formatted and displayed onto the body of the webpage. Users can search for keywords (names, addresses, phone numbers) in a search bar, and the information that is displayed will be filtered according to the user's search. This website was created using the Java programming language, according to the application framework Spring. Other languages and frameworks were considered, but Java and Spring were chosen because of their system portability and familiarity with the application’s developers. The main challenge faced with this website is keeping the information private and secure to non-members, but also making it easily accessible to the LDA members.

Biographical Information about Author(s)

Emanuel Dagget - Junior Computer Science Major

Dakota Phillips - Senior Computer Science Major

Brian Sukowicz - Senior Computer Science Major

Nina Tadic - Junior Computer Science Major

Brian Vidal - Junior Computer Science Major

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