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Journal : Journal of Information Technology and Its Utilization

ANALYSIS AND DESIGN OF DISTRIBUTED SYSTEM FOR MONITORING COMPUTER INFRASTRUCTURE MANAGEMENT BASED ON CLIENT/SERVER BY USING WINDOWS MANAGEMENT INSTRUMENTATION TECHNOLOGY Mr. Musawarman
Journal of Information Technology and Its Utilization Vol 2, No 1 (2019)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.2.1.2009

Abstract

This research aims to analyze and develop a system for monitoring computer infrastructure management in real time (real-time monitoring). The developed system was a distributed system that would help IT Administrators work at the Center for Computing and Information Technology Faculty of Engineering Universitas Indonesia (CCIT FTUI) to monitor the computer infrastructure in real-time. The Real - time referred to system that was able to do direct monitoring to computer infrastructure, and quickly able to transmit data status of the device. Limitations of the current monitoring process was that the IT Administrator checks directly into the computer lab room if there were problems related to a computer or cable that was not connected from the computer system based on a report from teachers or students.         The developed monitoring system was a client/server based system that used network infrastructure so that the computer infrastructure could be optimally monitored. The modules used in this research are computer input and output modules, and installed applications or system services. This research is expected to be able to overcome the problems associated with computer infrastructure’s performance, conduct supervision and centralized control in helping the problems that often occur during learning process or examination. Keywords: Monitoring, Computer Infrastructure Management, Distributed System, Computer Network, Real-time.
Bahasa Inggris Heti Mulyani; Ricak Agus Setiawan; Musawarman; Annisa Romadloni
Journal of Information Technology and Its Utilization Vol 5 No 2 (2022): December 2022
Publisher : Sekolah Tinggi Multi Media "MMTC" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.5.2.4894

Abstract

The spread of the coronavirus in Indonesia is quite fast. The spread of Covid 19 is almost evenly distributed in all provinces in Indonesia. Some areas even have a fairly high mortality rate. Therefore, it is necessary to group regions to find out which areas have the highest to lowest Covid cases so that the appropriate response process can be carried out. In addition, data visualization is also needed that provides information on COVID-19 data for each province. In this study, the data were grouped using the K-Means Clustering method. The dataset used is the Indonesian Covid-19 dataset from Kaggle. The criteria for each province's covid cluster are the number of cases and deaths. The Clustering process uses the Python programming language. From the results of this study, it can be seen that there are 3 groups of covid. The first group consists of 30 provinces with several cases below 200,000 and a number of deaths below 6000. The second group contains two provinces that have the highest number of cases, namely above 600,000, but the number of deaths is less than group 3, which is 15000. In group 3 there are 2 provinces where the number of cases is below 500,000 but the death rate is above 30,000.
Real-Time Smart System for Complaint Information System in Campus: Code of Conduct and Infrastructure Musawarman, Mr.; Fathi, Halimil; Setiawan, Ricak Agus
Journal of Information Technology and Its Utilization Vol 7 No 1 (2024): June 2024
Publisher : Sekolah Tinggi Multi Media "MMTC" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.7.1.5151

Abstract

In today's competitive business environment, maintaining high levels of customer satisfaction is crucial for the success of any organization. To effectively address customer complaints and concerns, businesses are increasingly relying on digital solutions such as complaint reporting systems. This paper presents the development of an online complaint reporting system designed to streamline the process of receiving, managing, and resolving customer complaints. The system incorporates features such as user-friendly interfaces, secure data storage, automated notifications, and real-time reporting functionalities. Through the implementation of this system, businesses can enhance their customer feedback management processes, improve customer satisfaction levels, and ultimately, strengthen customer relationships. Real-time reporting functionalities provide businesses with valuable insights into trending issues and customer pain points, allowing them to proactively address recurring problems and improve their products and services. By leveraging the online complaint reporting system, organizations can effectively capture, analyze, and respond to customer feedback in a timely manner, enhancing overall service quality and customer satisfaction. In conclusion, the development of an online complaint reporting system represents a significant step towards improving customer feedback management practices. By implementing this system, organizations can establish a more transparent and customer-centric approach to handling complaints, leading to enhanced customer loyalty and positive brand perception.