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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) International Journal of Humanities Education and Social Sciences
Nurman Machmud
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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IMPLEMENTATION OF IMAGE PROCESSING IN THE RECOGNITION OF OFFICIAL VEHICLE LICENSE PLATES Santoso Setiawan; Daning Nur Sulistyowati; Nurman Machmud
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 9 No. 1 (2023): JITK Issue August 2023
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v9i1.4181

Abstract

Vehicle license plates are identifiers used to uniquely identify vehicles. However, to identify vehicle license plates there are several problems encountered, namely the different formats of vehicle license plates that make license plate recognition more complicated, vehicle license plates often contain visually similar combinations of letters and numbers (for example the letter "O" and the number "0" or the letter "I" and the number "1"), . in poor lighting conditions license plates may not be clearly visible. To solve this problem, image recognition, image processing, and pattern recognition technologies can be used. The three technologies can be used to recognize characters on vehicle license plates, but cannot yet be used to recognize the colors contained on vehicle license plates. The purpose of this research is to identify and record vehicle license plate numbers quickly and accurately, monitor the presence of vehicles in a supervised area, assist in managing parking, reduce the need for human interaction in the vehicle identification process, The methods used to recognize motor vehicle plates are edge detection and character segmentation which involves image processing to detect the edges of the vehicle plate, followed by segmentation of individual characters in the plate. Another method used is optical character recognition which involves using an optical sensor to take an image of a vehicle plate, then using character recognition techniques to identify the numbers and letters on the plate. The result of this research is that the motor vehicle number recognition system can work in various lighting conditions and poor weather conditions and can monitor and control vehicles in the parking area. The finding obtained from this research is that no method has been used for color recognition on motor vehicle plates.
Defend ID's Strategic Management to be in The Top 50 Defense Global Company: SWOT Analysis of PT Dahana Nurman Machmud; Hikmat Zakky Almubaroq; Aris Sarjito
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 4 No 1 (2024): IJHESS AUGUST 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v4i1.1026

Abstract

A Defence SOE Holding was formed called Defence Industry Indonesia (Defend ID) and PT Dahana (Persero) is one of the 4 (four) companies incorporated in this holding. To achieve Defend ID's target of becoming a Top 50 Defence Global Company, PT Dahana implements strategic management to increase its competitiveness and become a major player in the global defence industry. PT Dahana faces strategic challenges in the defence industry both at the internal, national and global levels. This research article uses a qualitative method with a SWOT (Strengths, Weaknesses, Opportunities and Threats) framework, with the aim of obtaining a systematic assessment of PT Dahana's internal and external strategic factors. The research results obtained are that PT Dahana can utilize its strengths to overcome weaknesses and threats and take advantage of existing opportunities. By continuously strengthening strategies and innovations, PT Dahana is expected to continue to maintain and improve its position in the future.
Co-Authors Albubaroq, Hikmat Zakky Santoso Setiawan Sarjito, Aris Sulistyowati, Daning Nur