IMPLEMENTASI CHATBOT AI UNTUK MONITORING DAN NOTIFIKASI JARINGAN BERBASIS NAGIOS MELALUI TELEGRAM PADA LINGKUNGAN VIRTUAL

IMRON, KEMAL ARKAN (2025) IMPLEMENTASI CHATBOT AI UNTUK MONITORING DAN NOTIFIKASI JARINGAN BERBASIS NAGIOS MELALUI TELEGRAM PADA LINGKUNGAN VIRTUAL. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

The increasing complexity of Information Technology (IT) infrastructure demands effective, rapid, and interactive network monitoring methods. Traditional monitoring systems that rely on notifications via email or static interfaces are often less responsive to critical network issues, thereby hindering timely disruption handling. Nagios, as one of the popular open-source monitoring systems, enables the monitoring of various network services. However, the notifications it conventionally offers are still limited to passive media and lack interactivity. Integrating an AI-based chatbot with Nagios offers a new, more dynamic approach, where the chatbot can proactively communicate with administrators through instant messaging platforms like Telegram. Through the implementation of the ChatGPT API, the chatbot not only provides real-time notifications when services are detected to have issues but also can process natural language queries, display data in table or graph formats, and offer direct corrective action recommendations. This study implements the integration of an AI chatbot for network monitoring and notification based on Nagios through Telegram in a virtual environment. A virtual environment was chosen for its flexibility in simulating network topology and testing various disruption scenarios in a controlled manner. The results show that the AI chatbot can enhance the efficiency and speed of responses to issue notifications, facilitate two-way interactions between the monitoring system and administrators, and provide informative data visualizations such as CPU performance graphs, memory usage, and service status tables. Thus, the expected outcomes of this research contribute to optimizing network management, accelerating decision-making, and improving the reliability and overall quality of IT services. Kata kunci: AI Chatbot, Network Monitoring, Nagios, Telegram, Virtual Environment, Interactive Notifications, ChatGPT API Perkembangan infrastruktur Teknologi Informasi (TI) yang semakin kompleks menuntut metode monitoring jaringan yang efektif, cepat, dan interaktif. Sistem monitoring tradisional yang mengandalkan notifikasi melalui email atau antarmuka statis seringkali kurang responsif terhadap masalah kritis pada jaringan, sehingga dapat menghambat penanganan gangguan secara tepat waktu. Nagios sebagai salah satu sistem monitoring open-source yang populer memungkinkan pemantauan berbagai layanan jaringan, namun notifikasi yang ditawarkan secara konvensional masih terbatas pada media pasif dan kurang interaktif. Integrasi chatbot berbasis AI dengan Nagios menawarkan pendekatan baru yang lebih dinamis, di mana chatbot dapat secara proaktif berkomunikasi dengan administrator melalui platform pesan instan seperti Telegram. Melalui penerapan ChatGPT API, chatbot tidak hanya memberikan notifikasi real-time saat layanan terdeteksi mengalami masalah, tetapi juga mampu memproses pertanyaan dalam bahasa alami, menampilkan data dalam format tabel atau grafik, serta memberikan rekomendasi tindakan korektif secara langsung. Penelitian ini mengimplementasikan integrasi chatbot AI untuk monitoring dan notifikasi jaringan berbasis Nagios melalui Telegram di lingkungan virtual. Lingkungan virtual dipilih karena fleksibilitas dalam simulasi topologi jaringan serta pengujian berbagai skenario gangguan secara terkontrol. Hasilnya menunjukkan bahwa chatbot AI dapat meningkatkan efisiensi dan kecepatan respons terhadap notifikasi masalah, memfasilitasi interaksi dua arah antara sistem monitoring dan administrator, serta menyediakan visualisasi data yang informatif seperti grafik kinerja CPU, memory, dan tabel status layanan. Dengan demikian, Hasil yang diharpakan dari penelitian ini berkontribusi dalam mengoptimalkan pengelolaan jaringan, mempercepat pengambilan keputusan, serta meningkatkan keandalan dan juga kualitas layanan TI secara keseluruhan. Kata kunci: Chatbot AI, Monitoring Jaringan, Nagios, Telegram, Lingkungan Virtual, Notifikasi Interaktif, ChatGPT API

Item Type: Thesis (S1)
Call Number CD: FIK/INFO. 25 139
NIM/NIDN Creators: 41521010030
Uncontrolled Keywords: Chatbot AI, Monitoring Jaringan, Nagios, Telegram, Lingkungan Virtual, Notifikasi Interaktif, ChatGPT API
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 > 006 Special Computer Methods/Metode Komputer Tertentu > 006.3 Artificial Intelligence/Kecerdasan Buatan
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 020 Library and Information Sciences/Perpustakaan dan Ilmu Informasi > 021 Relationship of Libraries/Hubungan-hubungan Perpustakaan, Arsip dan Kearsipan, Pusat Informasi > 021.6 Cooperation and Networks/Kerja Sama dan Jaringan Antar Perpustakaan > 021.65 Network, Systems, Consortia/Jaringan, Sistem, Konsorsium Antar Perpustakaan
300 Social Science/Ilmu-ilmu Sosial > 380 Commerce, Communications, Transportation (Perdagangan, Komunikasi, Transportasi) > 384 Communications Telemunications/Komunikasi Telekomunikasi > 384.1 Telegraph/Telegram
600 Technology/Teknologi > 610 Medical, Medicine, and Health Sciences/Ilmu Kedokteran, Ilmu Pengobatan dan Ilmu Kesehatan > 613 Personal Health, Hygiene/Ilmu Kesehatan Umum, Kesehatan Individu, Promosi Kesehatan, Higienis Umum > 613.5 Artificial Environtment/Ilmu Kesehatan di Lingkungan Buatan, Ilmu Kesehatan Lingkungan
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: khalimah
Date Deposited: 09 Aug 2025 08:27
Last Modified: 09 Aug 2025 08:27
URI: http://repository.mercubuana.ac.id/id/eprint/96720

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