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All Journal Engineering Science Letter Journal of Novel Engineering Science and Technology
Franklin Ore Areche
National University of Huancavelica
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Service Desk in Perspective of Information Technology Infrastructure Library 3rd-Version Dimas Mahardika; Tawar; Saima Ahmed Rahin; Franklin Ore Areche; Ari Fajar Santoso; Ahmad Suryan
Engineering Science Letter Vol. 1 No. 02 (2022): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (736.746 KB) | DOI: 10.56741/esl.v1i02.142

Abstract

ICT services are an essential element in modern organizations. Understanding the workings of service systems with specific frameworks helps manage services well. One of the services in this management is the Service Desk or Helpdesk. This study aims to explain the Service Desk using the ITIL V.3 framework. The method used is descriptive qualitative using relevant references. The results of this study indicate that ITIL V.3 can be used to describe the management of the Service Desk accurately.
Latest Trends in Visual Manipulation and Navigation in Robotics Muhammad Miftahul Amri; Franklin Ore Areche; Amar Ratnakar Naik
Journal of Novel Engineering Science and Technology Vol. 2 No. 01 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i01.253

Abstract

In recent decades, the term Robot has become more and more popular. A robot can be defined as a machine that is specifically built to complete certain tasks to help human-being. In order to successfully accomplish its task, the robot needs to receive input data and process it. Then, the processed data is used for manipulator-actions decision-making. The input data can vary from sound, temperature, vibration, touch, vision, etc. Among those input data, vision is arguably one of the most challenging data. This is because vision often needs detailed and complicated preprocessing before it can be used. In addition, vision data size is relatively larger compared to the other type of input data, making it more challenging to process considering the computational resources. In this paper, current research and future development trend of robotic vision were reviewed and discussed. Further, challenges and potential issues about robot vision, such as safety and privacy concerns, were also discussed.
Co-Authors Ahmad Suryan Amar Ratnakar Naik Ari Fajar Santoso Dimas Mahardika Muhammad Miftahul Amri Saima Ahmed Rahin Tawar