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Pengembangan Keterampilan Hard Skill Siswa Melalui Pelatihan Microsoft Excel di SMKS Al Muhajirin Arosbaya Putri, Aurellia Maharani
Jurnal Pengabdian Masyarakat Vol. 3 No. 2 (2024): Desember 2024
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v3i2.142

Abstract

Microsoft Excel training at SMKS Al-Muhajirin arosbaya focuses on the importance of hard skills in the world of education and work, especially in the digital era and evolving technology. Mastery of microsoft excel is a skill that is needed in various sectors, especially in the field of administration and finance. Based on the results of the pre-test conducted on students of Class X TKJ SMKS Al-Muhajirin their Microsoft Excel skills are still very lacking, with the majority of students are in the category of" less "and"very less". Microsoft Excel training was conducted by quasi-experimental method involving 13 students of Class X TKJ SMKS Al-Muhajirin who took the pre-test and post-test. The training uses game-based learning method to improve student interaction and learning interest. Facilities used include a computer laboratory equipped with LCD, projector, and computers that have Excel installed. Based on the pre-test the majority of students were in the categories of "less" and "very less," showing very limited Excel skills. After the training, post-test results showed improvement, with 46% of students achieving "good" and "very good," as well as none of the students being in the "very less" category."The Excel skills taught during training are not only useful in the world of work, but also in everyday life, such as managing academic data, creating tables of values, to managing personal budgets. In conclusion, Microsoft Excel training at SMKS Al-Muhajirin arosbaya successfully improved students ' skills, equipping them with practical skills for industrial needs in the digital era.
Performance Evaluation of a Cowrie-Based Honeypot Integrated with a Suricata Intrusion Prevention System in a School Wireless Network Putri, Aurellia Maharani; Tahir, Muhlis
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 1 (2026): March 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i1.2605

Abstract

Purpose – This study aims to implement and evaluate the integration of the Cowrie honeypot model with a Suricata-based Intrusion Prevention System (IPS) as a proactive security solution for school wireless networks. Design/methods/approach – The research method includes a literature review, needs analysis, security topology design, system implementation, and testing using port scanning and SSH brute force attack scenarios. The Cowrie honeypot is utilized to detect and log attack activities, while Suricata functions as an IPS to perform automatic real-time blocking. Findings – The results show that without a security system, both detection and blocking rates were 0%. After implementing Cowrie, the detection rate increased to 100%, although no blocking capability was present. The integration of Cowrie and Suricata IPS achieved 100% detection and 100% blocking rates for port scanning attacks (10 test packets) with an average response time of 0.8 seconds. In the SSH brute force test, the system successfully blocked attacks after 5 out of 10 login attempts, with an average response time of 0.9 seconds. Research implications/limitations – The evaluation was conducted under controlled experimental conditions using a limited number of attack simulations (10 scanning packets and 10 brute force attempts). Therefore, the results may not fully represent performance in large-scale or real-world network environments. Future studies should involve more extensive testing with diverse attack patterns and higher traffic volumes. Originality/value – This study contributes a practical integration of honeypot and IPS technologies to enhance wireless network security in school environments, providing a proactive and automated approach to both detect and mitigate cyberattacks in real time.