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Analisis Komparatif Respons Insiden DDoS: Efisiensi MTTR pada Penanganan Manual Versus Otomatis Berbasis SIEM dan SOAR Darmayoga, I Nyoman; Mardhiyyah, Rodhiyah
TIN: Terapan Informatika Nusantara Vol 6 No 8 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i8.8972

Abstract

The increasing use of digital services in Indonesia has been accompanied by a growing number of cybersecurity threats, particularly DDoS attacks that target service availability. One real-world incident occurred on the news website Suara.com, which experienced a large-scale DDoS attack that was handled manually by the technical team. The manual handling of this incident revealed limitations in terms of the speed and measurability of the initial response, as not all response stages were systematically documented. This study aims to compare the mechanisms and speed of initial responses between manual handling of the DDoS incident on Suara.com and automated responses using the SYRA system. SYRA is a web-based security system developed to support automated detection and response to cyber incidents through the integration of SIEM and SOAR. The research method used is a comparative study that utilizes public data from the chronology of the Suara.com incident as a representation of manual response, as well as data from DDoS attack testing on the SYRA system conducted in a controlled environment as a representation of automated response. The main parameter used in the analysis is MTTR as an indicator of initial response speed. The results show that the SYRA system is able to execute initial responses consistently with an average MTTR value of 42.97 seconds, allowing initial mitigation actions to be carried out in less than one minute after the attack is detected. These findings indicate that the implementation of automated response plays an important role in maintaining the continuity of digital services, particularly in the media and public service sectors that are highly dependent on system availability.
Integrasi Model Algoritma Genetika dan Constraint Satisfaction Problem pada Optimasi Penjadwalan Shift Karyawan UMKM Kuliner Syuhada, Arya Firgi; Mardhiyyah, Rodhiyah; Sanjaya, Fadil Indra
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.842

Abstract

Employee shift scheduling in the Micro, Small, and Medium Enterprises (MSMEs) sector is a complex problem because it must consider various aspects such as workforce availability, work hour restrictions, and individual preferences. At the Nasi Balap Cucun MSME which operates in the culinary field, the challenge is even greater because most of its employees are active students with diverse class schedules. The scheduling process is still done manually often takes a long time and results in an unbalanced division of labor. To overcome this, this study developed an automatic scheduling system based on Genetic Algorithms combined with Constraint Satisfaction Problems (CSP). The system was built using the Python programming language with the DEAP library, considering shift needs, employee schedule requests, and operational constraints. The implementation results show that the system is able to generate efficient weekly schedules with an increase in time efficiency of up to 80%. After testing the system, it was found that the scheduling results would appear less than 10 seconds after the user generated the schedule. In addition, the system showed an increase in fitness value from -1000 in the initial generation to 54 in the 50th generation, which means this system is able to reduce potential conflicts in scheduling. This approach can be an effective solution for MSMEs in optimizing human resource management intelligently.