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All Journal SKANIKA: Sistem Komputer dan Teknik Informatika Journal of Electrical Engineering and Computer (JEECOM)
Mukhlisoh, Nanik Anita
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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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..
Pengaruh Latihan Sepeda Virtual Terhadap Sensori-Motor Ekstremitas Bawah Pasien Pasca Stroke Lesmana, I Putu Dody; Yuana, Dia Bitari Mei; Mukhlisoh, Nanik Anita; Widiawan, Beni; Hakim, Lukman; Suryana, Arinda Lironika
Journal of Electrical Engineering and Computer (JEECOM) Vol 5, No 2 (2023)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v5i2.6911

Abstract

Defisit neurologis yang sering didapati pasca stroke adalah penurunan fungsi sensorik dan motorik. Terapi rehabilitasi yang tepat akan memberikan pemulihan sensori motor yang optimal. Fisioterapi menggunakan modalitas latihan motorik berupa latihan sepeda virtual merupakan salah satu pilihan program rehabilitasi. Jenis latihan ini dapat memperbaiki fungsi keseimbangan dan koordinasi ekstrimitas bawah. Tujuan penelitian ini untuk mengetahui pengaruh latihan sepeda berbasis Virtual Reality Augmented Cycling (VRAC) terhadap respon sensorimotor pasien pasca stroke kronis.Rancangan penelitian adalah quasi experimental dengan post test only control group design. Subyek penelitian sebanyak 15 orang terbagi dalam dua kelompok yaitu 8 orang pasien pasca stroke dan 7 orang kontrol sehat, diambil secara purposive sampling dan telah memenuhi kriteria inklusi. Semua subyek mengikuti program latihan sepeda virtual 2 kali dalam seminggu selama 3 bulan di Poli Rehabilitasi Medik RSD Kalisat Jember. Respon sensorimotor diukur dari kecepatan kayuhan (RPM) dengan tiga lintasan. Data dideskripsikan dalam bentuk mean±SD dan dianalisis uji independent T-Test menggunakan SPSS V.22.0.Rata-rata kecepatan kayuhan pasien pasca stroke meningkat tiap minggu selama latihan. Terdapat perbedaan kayuhan pedal pada lintasan lebar, lintasan lebar berpenghalang dan lintasan sempit yang signifikan antara pasien pasca stroke dengan kontrol (p<0,001).Simpulan: Latihan sepeda virtual dapat memperbaiki sensorimotor pasien pasca stroke kronis.
Co-Authors Agus Hariyanto Bekti Maryuni Susanto Beni Widiawan, Beni Elly Antika, Elly Gumilang, Mukhamad Angga Gurohman, Diki Taufik I Putu Dody Lesmana Jullev Atmadji, Ery Setiyawan Lukman Hakim Suryana, Arinda Lironika Yuana, Dia Bitari Mei