| dc.description.abstract |
In today's digital era, technological transformation has become a necessity for
government institutions to improve their performance effectiveness. One key
institution adapting to this change is the Indonesian Democratic Party of Struggle
(PDIP) faction in the House of Representatives (DPR RI). This digitalization effort
was undertaken to support legislative, budgetary, and oversight functions in a more
modern and efficient manner. However, this digitalization process still faces various
operational challenges that impact the efficiency and quality of the faction's output.
The main problems encountered include manual management of meeting minutes, an
undigitized attendance process, the lack of an integrated project monitoring system,
and the difficulty for new staff adapting to the work environment. Daily meeting
minutes are often not centrally stored, have inconsistent formats, and are difficult to
track for approval. Furthermore, manual attendance with paper signatures hinders
rapid and accurate data recapitulation. The absence of a project monitoring system
leads to a lack of visibility into work progress and delays in decision-making. On the
other hand, new staff face challenges in familiarizing themselves with the
organizational structure, workspace, and assigned tasks, ultimately slowing the
adaptation process.
This capstone project aims to deliver a digital solution that includes digitizing and
centralizing meeting documentation, automating the attendance system,
implementing an integrated project management system, and integrating artificial
intelligence (AI)-based tools to accelerate the extraction of critical information from
meeting documents. From a user perspective, several expert staff members expressed
difficulties in managing documents, recording attendance, and understanding the
progress of ongoing projects. Therefore, this solution is expected to improve work
efficiency, data accuracy, and overall productivity within the PDIP faction of the
Indonesian House of Representatives. |
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