Ahmad Faza

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James Elkins

School of the Art Institute of Chicago

Dr.Mahmoud Lotfy

Minufiya University

Armando Marques-Guedes

UNL - New University of Lisbon

Jon R Sayers

The University of Sheffield

Gwen Robbins Schug

University of North Carolina at Greensboro

Jesper Hoffmeyer

University of Copenhagen

Michael J. Gonzalez

Universidad de Puerto Rico Rio

Richard Cloutier

Université du Québec à Rimouski

Hernan Chaimovich

Universidade de São Paulo

Uwamere O Edeghor

University of Calabar, Calabar, Nigeria.

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Papers by Ahmad Faza

Challenges and Opportunities of Online Learning Implementation During the COVID-19 Pandemic: Lecturers’ Perspective

2021 4th International Conference on Information and Communications Technology (ICOIACT)

The COVID-19 pandemic has changed the way learning is conducted in several countries. Face-to-fac... more The COVID-19 pandemic has changed the way learning is conducted in several countries. Face-to-face interaction has been prohibited to help prevent the spread of the virus even further. This situation has necessitated the transition from face-to-face to long distance learning. Lecturers’ participation in using e-Learning platforms is one of the main factors that has influenced the transition. However, lecturers have faced many challenges during the transition period. Those challenges must be identified so that institutions can provide the support lecturers need. This study aims to identify the challenges and opportunities that come from online learning based on the lecturer's perspective. A systematic literature review (SLR) is used to identify challenges and opportunities of online learning from previous studies. The findings of the current study show three major themes related to these challenges: individual, institutional, and technological. Furthermore, it finds that online learning provides opportunities to explore new ways of teaching and using technology for learning purposes, such as utilizing online learning tools for course assignments or quizzes.

Challenges and Opportunities of Online Learning Implementation During the COVID-19 Pandemic: Lecturers’ Perspective

2021 4th International Conference on Information and Communications Technology (ICOIACT)

Performance Evaluation of The SIERA System at the Regional Assets Management Agency of the DKI Jakarta Provincial Government Using the COBIT 5 Framework

Journal of Multidisciplinary Issues

Objective –To measuring and knowing the level of capability, the value of gaps, and recommendatio... more Objective –To measuring and knowing the level of capability, the value of gaps, and recommendations forimprovement for SIERA information system performance using the framework COBIT 5 based on the processAPO08 Manage Relationship and BAI07 Manage Change Acceptance and Transitioning.Methodology –This research uses a qualitative method and a quantitative method called the mix method. Thequalitative method is used to analyze the level of capability expected from the application of the SIERA informationsystem based on the results of interview answers. In contrast, the quantitative method is used to analyze the level ofcapability that has been achieved so far based on the results of a questionnaire that has been filled out by fourrespondents determined by a convenient sampling technique.Findings – The research found the results that the APO08 domain stopped at level 2, and the domain BAI07 stoppedat desired level 1, so corrective actions need to be taken to reach the level expected level...

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Modelling of Traffic Flow on West Jakarta Highways

International Journal of Engineering and Technology, Jun 30, 2018

Congestion is one of the problems faced by people who use land transportation modes and live in J... more Congestion is one of the problems faced by people who use land transportation modes and live in Jakarta. Congestion occurs because the number of vehicles is much more than road capacities and traffic infrastructure. As a result, the flow of those vehicles becomes jammed. Efforts that can be done to handle traffic problems include traffic engineering, road widening, and build new road. The traffic engineering process requires an information on traffic congestion conditions. Those information is used for distributing the traffic flows from the congested roads to some alternative roads. Data is collected by using Google Maps API. This data is analysed using visual data mining method. The result is presented on the dashboard to show congestion based on road segments, days, and hours. An application is developed to accommodate this feature. So it will help to know which roads are the most congested and afterwards, users can avoid those roads. Keyword-Dashboard, Data Visualization, Google Maps, Pentaho, Traffic Jam I. INTRODUCTION Congestion is one of the problems faced by people who use land transportation modes and live in large urban areas. Congestion occurs because the number of vehicles is much more than road capacities and traffic infrastructure [1]. Congestion has huge negative impact, such as fuel wastage, time wastage, and environmental damage due to air pollution released by motor vehicles [2]. Efforts that can be done to handle traffic problems include traffic engineering, road widening, and build new road. The traffic engineering process requires an information on traffic congestion conditions. Those information is used for distributing the traffic flows from the congested roads to some alternative roads. Data is collected by using Google Maps API. This data is analyzed using visual data mining method. The result is presented on the dashboard to show congestion based on road segments, days, and hours. Several previous studies or journals that use as reference or reference for doing this research. The first study visualize the traffic congestion at Beijing. Speed and road network used and collected by used GPS mounted on taxi [3]. The second study gave information about traffic flow condition and alternative route to avoid congestion. Data collected by used Google Maps API. Dijkstra algorithm used for get the shortest route to avoid congestion [4]. The third study was monitoring the traffic flow condition on real-time. Monitoring process use air platform to capture road condition and ground platform to process the video captured by the air platform [5]. The last study was develop the model of traffic congestion corridor which is used for decision support system. Modelling process was done by use two method: volume capacity ratio (VCR) and volume per lane (VPL). VCR calculated based on engineering design perspective classification. VPL calculated based on traffic speed limit [6]. The objective of this research is to select the coordinate point on the road that will be studied to get traffic density data based on the color grouping in Google Maps API to be visualized in the dashboard of traffic density. II. PROBLEM STATEMENT AND METHODOLOGY This study use Rapid Application Development as a system development methods and Visual Data Mining as data visualization method. Visual Data Mining is used as data visualization method for it capability to clean, transform and visualize traffic condition data that have gathered into traffic condition dashboard. Figure 1 shows the step of Visual Data Mining method.