Design and Implementation of Zabbix Monitoring to Optimize MTTD and MTTR at Nusa Putra University
Keywords:
Zabbix, SNMP, SAW, WhatsApp Notification, MTTD, MTTR.Abstract
The advancement of information technology has made Internet network management increasingly complex, including in academic environments. At Nusa Putra University, the existing network monitoring system remains passive and does not yet provide an automatic notification feature, causing incident detection to rely heavily on manual reports from users. This condition can result in delays in Mean Time To Detect (MTTD) and Mean Time To Repair (MTTR), as well as difficulties in determining incident handling priorities. This study aims to design and implement an SNMP-based network monitoring system using Zabbix integrated with real-time WhatsApp notifications and the Simple Additive Weighting (SAW) method for incident priority classification. The system was developed using the Network Development Life Cycle (NDLC) methodology. Incident priority was determined based on three criteria: impact, urgency, and duration. The system was evaluated through functional testing and a comparative analysis of MTTD and MTTR before and after implementation. The results showed that the average MTTD decreased from 487 minutes to 24 seconds, while the average MTTR decreased from 13 minutes to 4 minutes 48 seconds. These results indicate that the proposed integration reduced incident detection and repair times by providing automated monitoring, priority classification, and real-time notification to network operators.
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