Design and Implementation LETS (Low Power Cluster Server) for Sustaining UMKM during Pandemic

Covid pandemic is spreading since end 2019 arround globe, this resulting several countries suffer economic crisis. Due people movement restriction and international border is closed, impact halting on export and import. Indonesia with 267,7 million people manage to overcome global crisis during 1998 and 2008 with encourage small and local industry. According data from BPS, SME support 60% GDP with Rp 7,7 Billion and provide 85 million employment. To sustain SME during customer shifting behavior, we propose small cluster server called as LETS. LETS is modular, and composed with several Raspberry Pi 4, also consume few energies compared with traditional server. Although Raspberry Pi 4 is small size with few limitations, with lightweight application (ansible, k3s, and nginx) it can provide web server service. LETS provide handling traffic up to 742 simultaneus requests, which sufficient of SME requirement.

Experiments and Descriptive Analysis in The MariaDB Database Cluster System to Prepare Data Availability

A database server called the Database Management System (DBMS) that relates tables in a database is called the Relational Database Management System (RDBMS). DBMS/RDBMS is a computer program that provides data services for computers or other computer programs. One of the RDBMS type database server (hereinafter referred to as a database server) is MariaDB. The database server is in charge of managing and providing data, so data must always be ready, fast presented, accurate, and safe, it cannot be damaged or even lost. One way to provide this data is to install several database servers using the concept of replication in the Multiple Server Database system. Replication in a cluster server database is a method of installing several database server nodes that allow between node servers to copy each other and distribute data from one node to another database server node, which then synchronizes data between server nodes to maintain data consistency. This study looks for the most optimal number of minimal database server nodes to provide accurate, fast and safe data on the MariaDB Cluster RDBMS. From the results of the replication test from the cluster server database, it can be concluded that the number of 3 (three) node servers can be known to always synchronize and consistency of data between server nodes, so there are 3 (three) nodes of minimum database node with MariaDB RDBMS.

Implementasi Cluster Server Pada Raspberry Pi Dengan Menggunakan Metode Load Balancing

Ketika server mengalami overload, hal ini akan membuat server melambat, efeknya adalah waktu akses layanan bertambah yang akan membuat client tidak nyaman dalam menggunakan layanan yang ada pada server. Cluster server menawarkan solusi agar beban terbagi secara merata, sistem ini memanfaatkan beberapa komputer yang di konfigurasi sedemikian rupa agar dapat berkerja bersama-sama. Hasil dari pengujian cluster server menunjukan peningkatan waktu respon http request sebesar 59% lebih cepat dibandingkan tanpa menggunakan sistem cluster server. Keuntungan lain menggunakan cluster server adalah adanya redudancy, jadi ketika salah satu anggota node tidak aktif maka secara otomatis master node atau load balancer akan memindahkan request menuju node yang masih aktif.

IMPLEMENTASI CLUSTER SERVER BERBASIS LINUX SEBAGAI LEARNING MANAGEMENT SYSTEM (LMS) DI SMK MUHAMMADIYAH 2 PEKANBARU

Learning systems need help to support progress in the field of education. Problems that exist in Muhammadiyah 2 Pekanbaru Vocational School have not yet implemented a Learning Management System (LMS) system that has an impact on students and teachers, compilation teachers cannot discuss learning jams certainly greatly affect students, teachers who are unable to attend specifically at teaching hours. Learning methods by implementing Learning Management Systems that will run on the Ubuntu Server 16.04 LTS Linux operating system. The system contains features such as Moodle, Big BlueButton, and Video Confrence needed in the teaching and learning process. By using the Learning Management System the teacher can manage classes and exchange information with students. Using labor can use learning and video conferencing management systems to keep discussing and providing learning material to students when attending is present at the time of learning using the internet. Keywords: LMS, Server Cluster, Moodle, Big bluebutton, Muhammadiyah 2 Vocational School Pekanbaru AbstrakSistem pembelajaran membutuhkan suatu inovasi guna untuk mendukung kemajuan dibidang pendidikan. Masalah yang terdapat pada SMK Muhammadiyah 2 Pekanbaru belum diterapkan sistem Learning Management System (LMS) hal tersebut berdampak pada siswa dan guru, ketika guru tidak bisa menghadiri jam pembelajran tentu sangat berdampak pada siswa, terutama guru yang berhalangan hadir pada jam mengajar. Metode pembelajaran dengan menerapkan Learning Management System yang akan berjalan pada sistem operasi Linux Ubuntu Server 16.04 LTS. Sistem berisi fitur-fitur antara lain seperti Moodle, Big BlueButton, dan Video Confrence yang dibutuhkan dalam proses belajar mengajar. Dengan menggunakan Learning Management System guru dapat mengelola kelas dan bertukar informasi dengan siswa. Sehingga tenaga kerja dapat menggunakan learning management system dan video confrence untuk tetap mengawasi dan memberi materi pembelajaran kepada siswa/siswi pada saat berhalanagan hadir diwaktu pembelajaran dengan memanfaatkan internet. Kata kunci: LMS,Cluster server, Moodle, Big bluebutton, SMK Muhammadiyah 2 Pekanbaru

Research on a Method of Geographical Information Service Load Balancing

With the development of geographical information service technologies, how to achieve the intelligent scheduling and high concurrent access of geographical information service resources based on load balancing is a focal point of current study. This paper presents an algorithm of dynamic load balancing. In the algorithm, types of geographical information service are matched with the corresponding server group, then the RED algorithm is combined with the method of double threshold effectively to judge the load state of serve node, finally the service is scheduled based on weighted probabilistic in a certain period. At the last, an experiment system is built based on cluster server, which proves the effectiveness of the method presented in this paper.

Implementasi Cluster Server pada Raspberry Pi dengan Menggunakan Metode Load Balancing

Server merupakan bagian penting dalam sebuah layanan didalam jaringan komputer. Peran server dapat menentukan kualitas baik buruknya dari layanan tersebut. Kegagalan dari sebuah server bisa disebabkan oleh beberapa faktor diantaranya kerusakan perangkat keras, sistem jaringan serta aliran listrik. Salah satu solusi untuk mengatasi kegagalan server dalam suatu jaringan komputer adalah dengan melakukan clustering server. Tujuan dari penelitian ini adalah untuk mengukur kemampuan Raspberry Pi (Raspi) digunakan sebagai web server. Raspberry Pi yang digunakan menggunakan Raspberry Pi 2 Model B dengan menggunakan processor ARM Cortex-A7 berjalan pada frekuensi 900MHz dengan memiliki RAM 1GB. Sistem operasi yang digunakan pada Raspberry Pi adalah Linux Debian Wheezy. Konsep penelitian ini menggunakan empat buah perangkat Raspberry Pi dimana dua Raspi digunakan sebagai web server dan dua Raspi lainnya digunakan sebagai penyeimbang beban (Load Balancer) serta database server. Metode yang digunakan dalam pembangunan cluster server ini menggunakan metode load balancing, dimana beban server bekerja secara merata di masing-masing node. Pengujian yang diterapkan dengan melakukan perbandingan kinerja dari Raspbery Pi yang menangani lalu lintas data secara tunggal tanpa menggunakan load balancer serta pengujian Raspberry Pi dengan menggunakan load balancer sebagai beban penyeimbang antara anggota cluster server.