System Performance Measurement Using Web Server Log Files Method and Sink’s Seven Performance Criteria in Multichannel System Architecture

Kamis, 22 Oktober 2020 - 06:54
Dokumen Lampiran
NoDeskripsiFilenameFilesize 
1System Performance Measurement Using Web Server Log
Files Method and Sink’s Seven Performance Criteria in
Multichannel System Architecture


makalah-forum-ilmiah.pdf0.6 MB
System Performance Measurement Using Web Server Log
Files Method and Sink’s Seven Performance Criteria in
Multichannel System Architecture
 
 
Ketua : YUSRILA Y KERLOOZA S.Si, M.T
Magister Sistem Informasi
Universitas Komputer Indonesia
Bandung 40132
Indonesia.
 
Anggota : R Asrianto
Post Graduate Program
Universitas Komputer Indonesia
Bandung 40132
Indonesia.
 
Email : rudy.asrianto@gmail.com
 
 
Abstract. The purpose of system of updating population data with a multichannel architecture
helps to simplify and streamline population data service procedures. This study builds a model
of performance measurement in system processes using a multichannel system. The research
method uses quantitative methods. Performance is seen in terms of productivity, effectiveness,
efficiency, quality, quality, innovation, quality of work life and profitability in processes and
sub-processes in multichannel systems. The results of this study get a critical area; namely the
achievement of outputs that are not in line with the very poor product achievement standards, an
increase in RnD is not optimal, employee trainees are not in accordance with the target, and work
accidents are high. This paper uses multichannel performance measurement by determining key
performance indicators (KPI) and performing performance measurements by recording
processes on a multi-channel system with the Seven Sink Criteria method to produce standard
performance measurements with the system automatically. In conclusion we can measure
performance in SIAK using a multi-channel system, by calculating activity in the system. Even
though there are two KPIs that cannot be measured by the system, they can still be combined
using a weighted average value. Then we get a value that can be compared with the performance
of the service unit to determine the performance conditions.