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Community Empowerment karang taruna Kelurahan Sempusari melalui penggunaan Aplikasi Pantau Banjir dan pelatihan evakuasi korban Elisanti, Alinea Dwi; Susanto, Bekti Maryuni; Ardianto, Efri Tri
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 7, No 2 (2024): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v7i2.1892

Abstract

Banjir menjadi bencana hidrologi yang paling sering terjadi. Di Kelurahan Sempusari Kaliwates Jember, tercatat 3 kali banjir pada tahun 2022 dengan korban meninggal terseret arus sebanyak 3 orang. Pengabdian masyarakat ini bertujuan untuk memberdayakan karang taruna kelurahan Sempusari melalui penggunaan aplikasi pantau banjir sebagai early warning system dan pelatihan evakuasi korban. Kegiatan ini merupakan penerapan IPTEK dosen berupa aplikasi pantau banjir dan pelatihan evakuasi korban. Alat ukur yang digunakan yaitu kuesioner, Teknik observasi dan ceklist. Mitra yang terlibat sejumlah 30 orang, dengan hasil kegiatan berupa aplikasi pantau banjir berbasis android dan web, peningkatan pengetahuan dan keterampilan karang taruna dalam melakukan evakuasi korban banjir. Diketahui 83% mitra mengalami peningkatan pengetahuan, 86,6% mitra cukup terampil dan terampil dalam penggunaan aplikasi pantau banjir, dan 90% mitra memiliki keterampilan cukup baik dan baik dalam evakuasi korban. Luaran kegiatan berupa manual book aplikasi, publikasi pada media massa, koran online serta artikel ilmiah
PENERAPAN HORIZONTAL POD AUTOSCALER DAN REDIS CLUSTER BERBASIS KUBERNETES UNTUK MENINGKATKAN PERFORMA WEBSITE ELEARNING Gurohman, Diki Taufik; Susanto, Bekti Maryuni; Hariyanto, Agus; Jullev Atmadji, Ery Setiyawan; Gumilang, Mukhamad Angga; Antika, Elly; Mukhlisoh, Nanik Anita
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 7 No 2 (2024): Jurnal SKANIKA Juli 2024
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v7i2.3211

Abstract

Elearning is a very vital tool in learning today. To provide optimal service, elearning servers require quite large computing resources when a large number of users access them simultaneously. However, expensive computing resources such as CPU, memory and disk storage make it difficult for organizations to meet the needs of large users. Previous research compared the performance of two public clouds on a moodle-based learning management system. The results showed that backup and restore times increased by about 10 seconds for every additional 500 MB of data size. This research aims to apply Kubernetes-based horizontal pod autoscaler and Redis cluster on the Moodle elearning server. Moodle is used to run elearning and Redis as database memory which can improve website performance. Horizontal implementation of pod autoscaler and Redis cluster was able to increase the performance of the Moodle e-learning website by 4.3% compared to a monolithic approach. Research shows that implementing Kubernetes and Redis clusters can improve the performance of Moodle e-learning websites. This research also shows that the microservice approach has better performance compared to the monolithic approach..