Inauguration of KAWAN Chatbot by BPS Sanggau: Digital Innovation in Statistical Services - News - BPS-Statistics Indonesia Sanggau Regency

Click on this Link If You Want to Request BPS Data

Publication of 2023 Agricultural Census Results Has Been Released, click here to see publications per sector

The publication Sanggau Regency in Figures 2024 has been released and can be accessed in the publications menu

Inauguration of KAWAN Chatbot by BPS Sanggau: Digital Innovation in Statistical Services

Inauguration of KAWAN Chatbot by BPS Sanggau: Digital Innovation in Statistical Services

July 23, 2024 | Other Activities


Introduction

We are proud to announce the inauguration of KAWAN Chatbot (Kawan BPS Sanggau) as the latest innovation from the Badan Pusat Statistik (BPS) Kabupaten Sanggau. This chatbot is designed to provide quick and efficient statistical information services via the WhatsApp platform.

Why KAWAN Chatbot?

KAWAN Chatbot is here to make it easier for the public to access various necessary statistical information. Using the latest technologies such as WhatsApp Web JS, Dialogflow, and Gemini.ai, KAWAN can answer various questions related to statistical data, service hours, and other general information with high accuracy and quick responses.

Key Features of KAWAN Chatbot

1. Easy User Interaction

KAWAN initiates interaction immediately upon receiving a message on WhatsApp. Users can ask questions related to statistical data, service hours, and other general information, and receive instant answers.

2. Natural Language Processing (NLP)

By leveraging Dialogflow, KAWAN can interpret user questions and map them to appropriate intents. This technology allows KAWAN to understand and respond to various user inputs, including text and simple commands, with high accuracy.

3. Fallback Mechanism

Integrating Gemini.ai to handle questions that do not match the predefined intents in Dialogflow. If a question cannot be answered by the chatbot, it will be escalated to a human agent to ensure the user receives a satisfactory response.

4. Data Recording

Records all user interactions in Google Spreadsheet for future reference and analysis. This ensures that all data and interactions can be accessed and analyzed to improve services in the future.

How to Use KAWAN Chatbot

Using KAWAN Chatbot is very easy! Simply save the BPS Kabupaten Sanggau WhatsApp number on your phone, then start chatting by typing the question you want to ask. KAWAN will provide instant answers based on the available information database.

For more information, you can visit the BPS Sanggau Instagram link: @bpskabsanggau.

Benefits of Using KAWAN Chatbot

  • Time : Get the information you need in seconds without having to visit the BPS office directly.
  • Accessibility: The chatbot can be accessed anytime and anywhere through the WhatsApp application.
  • Non: The chatbot operates 24/7, so you can get information whenever you need it.
  • Support and Assistance

    If you encounter difficulties or have further questions about using KAWAN Chatbot, you can contact the help service via email at bps6105@bps.go.id or contact the person in charge at 089693967005. We are ready to assist you!

    Conclusion

    The inauguration of KAWAN Chatbot represents a significant step forward for BPS Kabupaten Sanggau in leveraging digital technology to enhance the quality of public services. We hope this innovation will provide great benefits to the public in accessing statistical information more easily and quickly.

    Stay connected with BPS Kabupaten Sanggau for more information and the latest updates on statistical services.

    Thank you for your support and trust.

    Best regards,
    BPS Kabupaten Sanggau

    Badan Pusat Statistik

    BPS-Statistics Indonesia

    Badan Pusat Statistik Kabupaten Sanggau (BPS-Statistics of Sanggau Regency)Jl. Sutan Syahrir No 52 A

    Sanggau 78512 Kalimantan Barat Indonesia

    Telp (+62-564) 21844

    Faks (+62-564) 21036

    Mailbox : bps6105@bps.go.id

    logo_footer

    Copyright © 2023 BPS-Statistics Indonesia