RANCANG BANGUN APLIKASI TERINTEGRASI CHATBOT UNTUK VISUALISASI DAN PREDIKSI KUALITAS UDARA BERDASARKAN DATA INTERNET OF THINGS

FAIZAL, RULLY HIDAYATULLAH (2025) RANCANG BANGUN APLIKASI TERINTEGRASI CHATBOT UNTUK VISUALISASI DAN PREDIKSI KUALITAS UDARA BERDASARKAN DATA INTERNET OF THINGS. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Poor air quality caused by pollution has become one of the most significant environmental issues, especially in urban areas. Although air quality data can be accessed through advanced devices, the presentation often relies on charts and visualizations that are not user-friendly for the general public. This research focuses on the development of an air quality monitoring application based on IoT and machine learning predictions, complemented by an interactive chatbot as a solution to deliver air quality information in a more inclusive manner. The chatbot technology is designed to provide explanations in a narrative form that is easy to understand by all segments of society. By utilizing IoT sensors, air quality data is collected in real-time and processed using machine learning algorithms to generate air condition predictions. The results of this study indicate that the implementation of interactive data visualization, integration of machine learning prediction models, and a responsive chatbot within the application can significantly improve public accessibility and understanding of air quality information, thereby supporting preventive actions against health risks caused by air pollution. Kata kunci: air quality, chatbot, accessibility, inclusivity Kualitas udara yang buruk akibat polusi telah menjadi salah satu masalah lingkungan yang signifikan, terutama di daerah perkotaan. Meski data kualitas udara dapat diakses melalui perangkat canggih, penyajiannya sering kali menggunakan grafik dan visualisasi yang kurang ramah bagi masyarakat awam. Penelitian ini rancang bangun aplikasi pemantauan kualitas udara berbasis IoT dan hasil prediksi machine learning yang dilengkapi dengan chatbot interaktif sebagai solusi untuk menyampaikan informasi kualitas udara secara lebih inklusivitas. Teknologi chatbot dirancang untuk memberikan penjelasan dalam bentuk narasi yang mudah dipahami oleh semua lapisan masyarakat. Dengan memanfaatkan sensor IoT, data kualitas udara dikumpulkan secara real-time dan diolah menggunakan algoritma machine learning untuk menghasilkan prediksi kondisi udara. Hasil penelitian menunjukkan bahwa implementasi visualisasi data interaktif, integrasi model prediksi machine learning, dan chatbot yang responsif dalam aplikasi ini dapat secara signifikan meningkatkan aksesibilitas serta pemahaman masyarakat terhadap informasi kualitas udara, sehingga mendukung tindakan preventif terhadap risiko kesehatan akibat polusi udara. Kata kunci: kualitas udara,chatbot, aksesibilitas, inklusivitas

Item Type:	Thesis (S1)
Call Number CD:	FIK/INFO. 25 129
NIM/NIDN Creators:	41521110032
Uncontrolled Keywords:	kualitas udara,chatbot, aksesibilitas, inklusivitas
Subjects:	000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika > 004.6 Interfacing and Communications/Tampilan Antar Muka (Interface) dan Jaringan Komunikasi Komputer > 004.67 Wide Area Network (WAN)/Wide Area Network > 004.678 Internet (World Wide Web)/Internet 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 006 Special Computer Methods/Metode Komputer Tertentu > 006.7 Multimedia Systems/Sistem-sistem Multimedia > 006.75 Social Multimedia/Multimedia Social > 006.754 Online Social Network/Situs Jejaring Sosial, Sosial Media 600 Technology/Teknologi > 650 Management, Public Relations, Business and Auxiliary Service/Manajemen, Hubungan Masyarakat, Bisnis dan Ilmu yang Berkaitan > 658 General Management/Manajemen Umum > 658.6 Quality Management/Manajemen Kualitas 700 Arts/Seni, Seni Rupa, Kesenian > 710 Civic and Lanscape Art/Seni Perkotaan dan Pertamanan
Divisions:	Fakultas Ilmu Komputer > Informatika
Depositing User:	khalimah
Date Deposited:	06 Aug 2025 07:39
Last Modified:	06 Aug 2025 07:39
URI:	http://repository.mercubuana.ac.id/id/eprint/96615

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