• Client

    Skala Survei Indonesia

  • Category

    Real-Time Media Monitoring, NLP Sentiment Analysis, Automated Recommendations

1. The Business Challenge

SSI had an urgent need to monitor, analyze, and report on public opinion and media narratives in real-time for their political and corporate clients. The previous manual process was slow, susceptible to human interpretational subjectivity, and unable to handle the large volume of data from various platforms (online news, social media, forums). Consequently, daily or weekly reports took hours to compile, often causing SSI to be late in delivering the critical strategic insights needed by their clients.

2. The Incode Online Solution

Incode Online designed and implemented an AI-Powered Media Sentiment Intelligence Platform:

  1. NLP-Based Sentiment Model: We built and customized a Natural Language Processing (NLP) model that accurately classifies the tone (positive, negative, neutral) of every news item or post collected. The model was specifically tuned to the Indonesian political language context.
  2. Automated Reporting Engine: We automated the entire reporting cycle (data collection, analysis, visualization, and alerting). The platform generates instant dashboards and executive summaries, complete with Strategic Recommendations based on detected sentiment trends.
  3. Real-Time Data Integration: The platform ensures data is pulled and analyzed in real-time, providing a time advantage for SSI’s analyst team.

3. Measurable Results (ROI)

The platform implementation dramatically improved the speed and objectivity of SSI’s media research.

Performance MetricBefore InterventionAfter InterventionKey Impact
Daily Reporting Cycle TimeAverage 4 hoursLess than 5 minutes98% Time Efficiency Increase
Sentiment Analysis ObjectivityProne to Analyst SubjectivityHighly Objective (ML Model-Based)Increased Report Credibility
Crisis Response TimeDelayed 12-24 hoursReal-Time Alerts (Within Minutes)Ability to Manage Rapid Public Narratives