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Research And Community Service Information System At LPPM Universitas MBP Medan With Unified Modeling Language (UML) Fauzi Haris Sibolon; Sartana, Sartana; Pasaribu, Maranata; Bangkit Iyoel Siregar
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 03 (2024): Informatika dan Sains , Edition July - September 2024
Publisher : SEAN Institute

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Abstract

Universitas Mandiri Bina Prestasis (UMBP) which was established in 2022 as a merger of two institutions, namely AMIK MBP with the Vocational Education program D-III Informatics Engineering and D-III Informatics Management and STIKOM with the S1 Informatics Engineering and S1 Information Systems Study Programs and the addition of 3 new study programs, namely S1 Software Engineering, S1 Accounting and S1 Entrepreneurship. Along with that, UMBP was born and developed with a commitment that was stated in the Vision of Becoming a Superior and Independent University in the field of Information Technology and Business with an Entrepreneurial Spirit at the National level in 2036 "by developing various superior programs in the fields of research, innovation, and community service, as well as the Regulation of the Minister of Research, Technology, and Higher Education (Permenristekdikti) number 44 of 2015 concerning National Standards for Higher Education, so every university must make adjustments towards meeting the standards of education, research and community service. UMBP has one institution that is tasked with research and development called the Institute for Research and Community Service (LPPM). This institution is a forum for academics to carry out research and community service. The establishment of LPPM is UMBP's strategy in an effort to realize the improvement of quality and development of technology, social and business in higher education and its implementation in the community.
Aplikasi Perbaikan Citra Digital Berbasis Android Dengan Metode Histogram Equalization Matondang, Zekson Aizona; Pasaribu, Maranata
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Volume 6, Nomor 2, Edisi Oktober 2024
Publisher : UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/kakifikom.v6i2.4568

Abstract

Digital images (photos) have become an integral part of everyday life. This is supported by the increasingly sophisticated technology today where communication devices such as mobile phones can also use their role to replace analog cameras to take pictures or even record videos. Capturing happy moments or just wanting to record an event has become very easy to do, but sometimes the resulting photos are less than satisfactory due to the specifications of the mobile phone itself or other factors such as poor lighting (dark). Improvement efforts are also very necessary, but because the application to do this is only available on computers and not too many on mobile phones, this becomes difficult to do. One method in image improvement is the Histogram Equalization method. This method can be used to improve image quality related to lighting, namely by maintaining color constancy. The use of this histogram equalization method is considered easy because of its efficiency and relatively better performance on almost all types of images. The operation of HE (Histogram Equalization) is carried out by remapping the gray image level based on the probability distribution of the input gray level. It horizontally and dynamically stretches the various histograms of the image and produces an overall increase in contrast.