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All Journal Jurnal Mantik Penusa Abdimas Universal
Anita Sindar Sinaga
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Social Sciences

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Pengenalan Dasar Pengkodingan Secara Daring pada SMK Pemda Lubuk Pakam Anita Sindar Sinaga; Arjon Samuel Sitio; Petti Sijabat
Abdimas Universal Vol. 2 No. 2 (2020): Oktober
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Balikpapan (LPPM UNIBA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36277/abdimasuniversal.v2i2.74

Abstract

The use of instructional media in the teaching and learning process is one of the efforts to improve the effectiveness and quality of the learning process which in turn can improve the quality of student learning outcomes. Media resulting from video sample technology are used as learning media so students can repeat the material shared. The quality of HR skills needs to be improved through training to face the challenges of the workforce later. Skill computing has become a trend of capability that is in demand in the digital revolution 4.0. Learning of MatLab programming is carried out by the Community Service Team to encourage the interest of students in class X of the private SMK in Lubuk Pakam regional government in programming. In addition to utilizing the MatLab variable for learning mathematics, at the end of learning, students are advised to produce a simple program.
SEGMENTASI RUANG WARNA L*a*b Anita Sindar Sinaga
Jurnal Mantik Penusa Vol. 3 No. 1,Juni (2019): Manajemen dan Informatika
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (476.761 KB)

Abstract

Image segmentation functions to separate one object from another object. Separation is carried out based on regional boundaries which have the same form or composition. The form of light energy is worth 0 to infinity. The function of light intensity f (x, y) indicates the position of the image coordinates. Color segmentation is obtained through preprocessing conversions and transformations that produce color value values. The color of digital images results in light intensity, namely RGB, CMYK, HSV, Color Space. The colors R (Red) G (Green) and B (Blue) have a close degree of color correlation making it difficult to segment. each sample is converted from RGB - XYZ - Lab color. The average ratio of Red, Green and Blue in RGB and XYZ 1:10 colors. Segmentation uses the color L * a * b, showing the color composition of the sample data into six groups: background, yellow, magenta, purple, red and green using the grouping method. This work proposed the L*a*b color space chosen which is a homogeneous space for visual perception.
Co-Authors Petti Sijabat Sitio, Arjon Samuel