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All Journal ILKOM Jurnal Ilmiah International Journal of Engineering, Technology and Natural Sciences (IJETS)
EIH Ujianto
Universitas Teknologi Yogyakarta
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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PENERAPAN METODE TOPSIS DALAM PENENTUAN DOSEN TERBAIK Gunawan Wibisono; Arif Amrulloh; EIH Ujianto
ILKOM Jurnal Ilmiah Vol 11, No 2 (2019)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v11i2.430.102-109

Abstract

Appreciation for the performance of a worker is very important in the aim of valuing his efforts for the institution. In the world of education, especially universities, lecturers are one of the main components in building quality and quantity. The good quality of lecturers should also provide good quality graduates, while the quantity or number of lecturers will affect the number of students in the college. In the aim of building the quality of lecturers, the award in the form of ranking the best lecturers can be an alternative trigger for quality improvement. Decision support systems (DSS) can be a tool that helps rank the best lecturers, of course with criteria to produce ranking alternatives. The length of work, achievements and tridharma (teaching, research, and consecration) of higher education is used as a criterion to obtain the best alternative rank of lecturers from the number of lecturers as many as 20 people. Lecturer data is taken from the telecommunication engineering study program Institut Teknologi Telkom Purwokerto (ITTP). The TOPSIS method was chosen in this multicriteria DSS, the result was 6 selected lecturers to be the best alternative lecturers and from these results it turned out that the most influential was the number of research and teaching rankings, while the duration of work did not affect much.
Digital Watermarking Implementation Of Digital Watermarking On Images Using The Least Significant Bit Method Intan Setiawati; M. Thoni Hermanto; EIH Ujianto
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 5 No 1 (2023): International Journal of Engineering, Technology and Natural Sciences
Publisher : University of Technology Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/ijets.v5i1.191

Abstract

The ease of accessing the internet in this modern era has led to illegal crimes, especially data copying, data distribution and abuse of intellectual property rights. From these problems emerged a method of securing data and information, namely watermark. Watermark is used for data security techniques, both for copyright protection and digital signatures in the visible and invisible realms. One of the data security techniques used here is to use the least significant bit (LSB) method. This method is used for data security or images that contain watermarks, for example on currency there is usually a logo to distinguish real and fake currencies. This study uses nine host images taken from the https://www.kaggle.com/datasets/felicepollano/watermarked-not-watermarked-images dataset with different sizes, namely 513 x 513 pixels, 488 x 350 pixels, 467 x 350 pixels, 500 x 333 pixels, 512 x 301 pixels, 490 x 350 pixels, 500 x 332 pixels, 400 x 266 pixels, and 500 x 308 pixels. As for the label image, it uses the uty logo which has a size of 50 x 50 pixels, 80 x 80 pixels, and 124 x 124 pixels. From the results of the watermark test that has been carried out using the LSB method, the average PNSR value is 65 dB, so it can be concluded that the watermark research using the LSB method gets pretty good image results and can be used for data security. Keywords: Watermark, Least Significant Bit, Peak Signal to Noise Ratio (PNSR)
Co-Authors Arif Amrulloh Gunawan Wibisono Intan Setiawati M. Thoni Hermanto