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All Journal Jurnal Informatika Global Journal of Intelligent Networks and IoT Global
Candra Setiawan
Universitas Indo Global Mandiri
Computer Science & IT

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Sistem Informasi Problem Report Technical Support Pada PT. Bank Pembangunan Daerah Sumatera Selatan Dan Bangka Belitung Berbasis Website Agustina Heryati; Darmawan Susilo; Iski Zaliman; Mulyati Mulyati; A Taqwa Martadinata; Candra Setiawan; Terttiaavini Terttiaavini
Jurnal Informatika Global Vol 13, No 3
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i3.2694

Abstract

PT Bank Sumsel Babel is one of the most developed regional banks in the archipelago. Bank Sumsel Babel also provides a variety of investment products, such as Depati, Demang, Telepathy, Pesirah Savings (Local Potential Activator), money transfers with Western Union, Debit Cards, export-import transactions, and ATM services. This research aims to help PT. Bank Sumsel Babel in dealing with technical support report problems. The current problem is that technical support reports independently and manually, causing delays and scattered reports. This reporting is the most important thing because the data is used for internal and external audit purposes and seeing the team's performance in solving the many problems that come in are all summarized in a monthly and annual report. Website problem report technical support is the best solution so that there are no delays in reporting and logs of solving problems that have been resolved can also be used by personal teams in solving new problems so that they can save time solving problems and a list of problem positions in open positions can be monitored by managers, administrators and the leader of the file section reports needed in audit requirements can be provided quickly.Keywords: Problem Report, Website, PT Bank Sumsel Babel
The Average Value Algorithm from The Distance Matrix for Traveling Salesman Problem Candra Setiawan; Bagus Aditya; Agustina Heryati
Jurnal Informatika Global Vol. 14 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

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Abstract

The Traveling Salesman Problem (TSP) is a popular problem, but until now there is no algorithm that has the same search results as brute force with a fast search time. Many algorithms have been made previously related to solving this problem with the aim of finding the shortest route through a number of nodes to finally return to the initial node. The purpose of this research is to create an algorithm that can optimize the search for the shortest route with a fast search time. The approach taken is to find the average value of the distance matrix and look for routes with links that have values below the average value. Each route that has been passed will be marked and compared so that it can facilitate the search with a shorter processing time. In this paper the best and effective routes are limited to 12 nodes. The results obtained show that the Average Score Algorithm provides a relatively stable processing time from node 4 to node 12. The proposed algorithm has a tendency of decreasing processing capacity with increasing number of nodes.
IMPLEMENTASI LOAD BALANCING WEB SERVER DENGAN HAPROXY MENGGUNAKAN ALGORITMA ROUND ROBIN Muhammad Arigoh Waluyo; Fery Antony; Candra Setiawan
Journal Of Intelligent Networks and IoT Global Vol 1 No 1 (2023)
Publisher : Universitas Indo Global Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jinig.v1i1.3074

Abstract

Ketika banyak orang yang menggunakan atau login ke platform online atau website pada saat yang bersamaan, akan membebani server hosting website karena tidak dapat memproses request yang masuk. Masalah ini biasanya terjadi ketika server web adalah mesinnya sendiri atau server tunggal yang menghosting situs web yang harus berbagi sumber dayanya seperti prosesor dan memori. Untuk mengatasi masalah tersebut digunakan teknik load balancing untuk mengatasi beban server yang diakses secara bersamaan dengan jumlah akses yang tinggi. Salah satu aplikasi load balancing yang digunakan adalah Haproxy. Pengujian ini dilakukan menggunakan simulasi beban server web dengan 100, 500, 1000, 2000, 2500 hingga 3000 pengguna secara bersamaan. Untuk membebani server dengan jumlah akses yang telah ditentukan, digunakan aplikasi penghasil lalu lintas, Apache JMeter. Hasilnya, web server berjalan normal dan mampu melayani akses dari pengguna. Pengujian dilakukan dengan menghitung throughput dan responses time antara web server dan haproxy server. Melalui Haproxy beban throughput dibagi antara satu server dan lainnya. Pengujian membuktikan bahwa Haproxy mampu membagi beban antar server web
Co-Authors A Taqwa Martadinata Agustina Heryati Bagus Aditya Darmawan Susilo Fery Antony Iski Zaliman Muhammad Arigoh Waluyo Mulyati Mulyati Terttiaavini, Terttiaavini