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Journal : JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING

Analysis of Face Recognition Algorithm: Dlib and OpenCV Suwarno Suwarno; Kevin Kevin
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (465.619 KB) | DOI: 10.31289/jite.v4i1.3865

Abstract

In face recognition there are two commonly used open-source libraries namely Dlib and OpenCV. Analysis of facial recognition algorithms is needed as reference for software developers who want to implement facial recognition features into an application program. From Dlib algorithm to be analyzed is CNN and HoG, from OpenCV algorithm is DNN and HAAR Cascades. These four algorithms are analyzed in terms of speed and accuracy. The same image dataset will be used to test, along with some actual images to get a more general analysis of how algorithm will appear in real life scenarios. The programming language used for face recognition algorithms is Python. The image dataset will come from LFW (Labeled Faces in the Wild), and AT&T, both of which are available and ready to be downloaded from the internet. Pictures of people around the UIB (Batam International University) is used for actual images dataset. HoG algorithm is fastest in speed test (0.011 seconds / image), but the accuracy rate is lower (FRR = 27.27%, FAR = 0%). DNN algorithm is the highest in level of accuracy (FRR = 11.69%, FAR = 2.6%) but the lowest speed (0.119 seconds / picture). There is no best algorithm, each algorithm has advantages and disadvantages.Keywords: Python, Face Recognition, Analysis, Speed, Accuracy.
Analysis of IT Governance COBIT 5.0 (Case Study: Ministry of Religious Affairs of Batam) Suwarno Suwarno
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v4i2.4020

Abstract

Indonesian Government has developed technology-based information systems in their respective environments as an effort to realize public services that meet standards and achieve citizen service satisfaction, and in line with that as the government's efforts to digitize each business process in the government itself. Ministry of Religious Affairs of Batam that has developed this technology-based information system in implementing activities public services at Sekupang office, KUA, and integrated service places. This study aims to analyze the IT governance that has been applied at Ministry of Religious Affairs of Batam in providing public services. This study uses COBIT 5.0 to analyze IT governance in understanding and finding common ground between the needs of Batam citizen and the strategic plan of the Ministry of Religious Affairs of Batam, as well as how to evaluate and monitor IT governance in the actual conditions. This study uses two domains: Plan and Organize (PO) and Monitor and Evaluate (ME), based on the results of questionnaire data processing with 106 respondents, and the average value of the PO domain 3.8 and ME domain 3.9 shows that IT governance is at the Defined Process level. . Found two IT processes with a value of less than 3, namely PO8.1 and PO9.1, it is necessary to recommend improvements to quality management and risk management.
Implementation of Automation System to Control Machine Voltage of Electroplating Process Suwarno Suwarno; Calvin Chin
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v4i2.4582

Abstract

Technology has been proliferating and it has been creating a new term in the world of technology. One of the new terms that have emerged along with technological development is The Fourth Industrial Revolution. In line with the revolution, this research has a purpose of creating a smart manufacturing concept that involves several components such as software, machines, and certain tools such as RFID. This research will be designed and developed using software development method in the form of a waterfall method and this research will use C# programming language released by American multinational technology company, which is Microsoft to create the software. This research will be assisted by several hardware devices such as RFID Reader that will serve as a tool that will read information stored in RFID Tag and RFID Tag that will be used to store information needed by system. The output of this research is a software that is capable of automating voltage adjustment of electroplating machine, monitor the voltage and ampere of the machine, and able to aid users on the electroplating process
Design and Development of Software Project Management System using Scrum Suwarno Suwarno; William Surya Jaya
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6412

Abstract

Good project management is a crucial factor for the smooth implementation of projects in an application development organization. Management activities carried out manually have the potential to result in errors in data processing, and it is difficult to monitor project progress, which often results in time and financial losses. This research was conducted to overcome this problem by building a project management system based on the Scrum method using the Laravel framework and applying a multiple linear regression algorithm in estimating time for each project activity with parameters of the number of people involved and the type of work, as well as competency mapping on the recommendations in the human resource allocations. The Scrum method is used because of its flexibility and fast adaptability to the system development process. The result of this research is a software development project management system that helps organizations in allocating human resources and time management. The resulting multiple linear regression model obtains a Mean Absolute Error (MAE) of 349.97. Descriptive analysis conducted on user responses stated that user responses were positive towards the use of the project management system.
Face Recognition System to RPA Software Design and Implementation Suwarno Suwarno
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 3, No 2 (2020): EDISI JANUARI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v3i2.3106

Abstract

The purpose of this research is to build a face recognition system, and implement it into an RPA (Robotic Process Automation) software to expand automation capabilities. The system is built using the Python programming language. The face recognition algorithm that is used is an open-source library that has been pre-trained and developed beforehand along with a library called OpenCV. The client side of the system is desktop based, and requires a stable internet connection. Users of the system are able to register faces into the system, and then later detect and extract information from them using only images of faces with an average speed of 500 ms for every frame, with an accuracy of ~98% with tolerance set at the default value of 0.6. The system is also capable of automatically registering any new faces that it encounters.