Bisitapp: A Tool for Jail Visitors’ Information Management in Sorsogon City District Jail
DOI:
https://doi.org/10.64252/cfm9kv42Keywords:
Visitors app, PDL visitor app, Jail visitor app, Prison visitors Record, Automated prison visitors recordAbstract
The study aims to automate the documenting process of visits by Persons Deprived of Liberty (PDL) visitors in the Sorsogon City district jail. The name BISITAPP is a combination of the words “bisita,” which applies to PDL visitors in prison, and “app, " a shortened term for application, which refers to a web-based app. This will replace the traditional and time-consuming process, where corrections staff previously kept paper logs detailing the daily activities of each offender. However, this method is inefficient and prone to mistakes. Because of technological advancements, devices like software may now offer correctional officials a straightforward, effective method of measuring, monitoring, and archiving inmates’ movement data. This study employs the Agile methodology to develop the system while also utilizing a descriptive research design during the paper's development process. Similarly, assess the system's validity by using the System Usability Scale, which measures the precision and dependability of a tool for managing information among jail visitors. In developing the system, its combined face recognition and fingerprint scanners enhance security, expedite the recording process, and accurately identify anyone visiting the jail facility. The survey and evaluation of this study found that respondents thought the app was accurate and reliable, suggesting that it could be used to improve jail security. Bisitapp has cut down on the need for manual paperwork and made data management more efficient and accurate. This reduces the likelihood of unauthorized individuals entering the jail and prevents prisoners from escaping. BISITAPP can enhance PDL visitor information recording and verification. Digital recording cuts processing time to 5 minutes. Automatic verification of their faces and fingerprints reduces recording errors.