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All Journal eProceedings of Engineering Proceeding of Community Service and Engagement
Ryan Lingga Wicaksono
Telkom University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Failover for Multiple-Controller with Failure Detection Method in Software Defined Network on Distributed Switch Decision Ryan Lingga Wicaksono; Maman Abdurohman; Hilal Hudan Nuha
eProceedings of Engineering Vol 10, No 3 (2023): Juni 2023
Publisher : eProceedings of Engineering

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Abstract

Abstract-Hardware is important for the system to be used, with the increase in a lot of hardware such as switches and connected hosts can cause a decrease in quality on the network. Systems that have more than one core device can use two scenarios namely, load balancing and failover. Software Defined network allows the separation of the control plane and the data plane in the network. Based on it, it provides scalability and centralized control. In addition, by using these properties, clustering controllers consisting of 3 controllers are also applied. The clustering controller system uses ONOS with the aim of stabilizing and improving network performance. Communication between the data plane and the control plane is necessary to detect, calculate, and insert rules that create new paths. The system used to be able to achieve connectivity is scattered everywhere. System by utilizing a centralized controller, one can anticipate one point of failure. Service interruptions due to the failure of the communication network link that occurs are unavoidable circumstances. This study proposes a failover mechanism on the controller. Moving from a failed master controller to a slave controller results in a delay time from the average of each switch connected in the failed master controller. The average delay time in each different traffic background results in a different value from each traffic background. In the background traffic of 500mb/s has an average delay time of 0.159ms, the background traffic of 750mb/s has an average delay time of 0.194ms, and background traffic of 900mb/s has an average delay time of 0.309ms. The delay time value occurs in 1 master controller failure. Different results occurred in 2 controller failures, when using a background traffic of 500mb/s, the average delay time value was 0.203ms, the background traffic was 750mb/s the average delay time was 0.265ms and the background traffic was 900mb/s, the average delay time was 0.346ms. The failure handling mechanism on the master controller is intended to overcome delay time when the backup controller takes over the tasks of the new master controller. Keywords-software defined network; failover; controller; delay time
Pengenalan AI untuk Pengembangan Pembelajaran Villy Satria Praditha; Ryan Lingga Wicaksono; Utami Kusuma Dewi; Resha Akbar; Elvira Lailatuth Thohiroh
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 5 No. 2 (2025): Prosiding COSECANT : Community Service and Engagement Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v5i2.10274

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk memperkenalkan konsep dasar artificial intelligence (AI) kepada guru dan siswa di SMP PGRI 7 Bandung, serta meningkatkan literasi digital melalui pemanfaatan tools AI dalam proses pembelajaran. Kegiatan ini dilakukan dalam bentuk pelatihan yang mencakup pengenalan berbagai tools AI seperti chatbot, content generator, dan image generator, yang dapat membantu dalam merangkum materi, menyusun latihan soal, serta membuat media pembelajaran. Metodologi yang digunakan terdiri dari identifikasi kebutuhan, pengembangan modul pelatihan, sosialisasi dan pelatihan intensif, pendampingan implementasi, serta evaluasi dan monitoring. Hasil kegiatan menunjukkan tingkat kepuasan yang tinggi di kalangan peserta, dengan mayoritas responden menyatakan bahwa materi yang disampaikan relevan dan mudah dipahami, serta waktu pelaksanaan kegiatan sesuai dengan jadwal yang telah ditentukan. Pelatihan ini juga memperoleh apresiasi positif dari peserta, yang mengungkapkan harapan agar kegiatan serupa dapat dilanjutkan di masa mendatang. Melalui kegiatan ini, SMP PGRI 7 Bandung diharapkan dapat meningkatkan kemampuan guru dan siswa dalam memanfaatkan teknologi digital, khususnya AI, untuk mendukung pembelajaran yang lebih efektif dan adaptif di era digital
Co-Authors Elvira Lailatuth Thohiroh Hilal Hudan Nuha Maman Abdurohman Resha Akbar Utami Kusuma Dewi Villy Satria Praditha