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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Pendas : Jurnah Ilmiah Pendidikan Dasar KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science Jatilima : Jurnal Multimedia Dan Teknologi Informasi Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) MEANS (Media Informasi Analisa dan Sistem) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JPM: JURNAL PENGABDIAN MASYARAKAT Journal of Informatics Management and Information Technology Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Bulletin of Information Technology (BIT) Bulletin of Multi-Disciplinary Science and Applied Technology Journal of Informatics, Electrical and Electronics Engineering Multidisiplin Pengabdian Kepada Masyarakat (M-PKM) JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi
Sinurat, Sinar
Universitas Budi Darma, Medan
Aerospace Engineering Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Journal : Journal of Computer System and Informatics (JoSYC)

 1 
Analisa dan Perbandingan Algoritma Otsu Thresholding dengan Algoritma Region Growing Pada Segmentasi Citra Digital Debi Razabni Erika Medinah; Sinar Sinurat
Journal of Computer System and Informatics (JoSYC) Vol 2 No 1 (2020): November 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Segmentation is an important process in image processing which aims to split an image into several segments with certain criteria. Image segmentation is the separation of one object with other objects in an image or between objects with a background contained in an image. With this segmentation process, each object in the image can be taken individually so that it can be used as input. The purpose of image segmentation is to separate the object area from other regions based on similarity of image attributes so that it is easy to analyze in order to recognize objects for a purpose. This type of operation is closely related to pattern recognition. In general, the segmentation process is divided into three parts based on classification, by edge and by region. The segmentation process in digital images is done with edge detection to provide a target path along the edge (edge) of the image object. The algorithm used is the otsu thresholding algorithm and the region growing algorithm where the otsu thresholding algorithm can divide the gray image histogram into two different regions automatically. While the region growing algorithm is a procedure in which a set of pixels or subregions to a larger region is based on defined criteria.
Penerapan Metode Metode Multi-Attribut Border Approximation Area Comparison (MABAC) dalam Penentuan Akademi Kebidanan (AKBID) Terbaik Rizki Dermawan; Sinar Sinurat
Journal of Computer System and Informatics (JoSYC) Vol 3 No 1 (2021): November 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i1.820

Abstract

The Midwifery Academy (AKBID) is one of the options for continuing post-graduate education, especially in the city of Medan. A quality private midwifery academy greatly influences the course of an education. To easily compete in the world of work. Because a good AKBID has a good accreditation, AKBID accreditation is very influential in the world of work. Especially in the career path, acceptance of new workers. Determining the IMR in the city of Medan is not easy, because there are many IMRs in the city of Medan. There are too many IMRs available, making it difficult to determine the IMR manually, and the election results are sometimes inaccurate and become a problem in determining the best IMR. Decision Support System (DSS) is a system that can assist a person in making accurate and targeted decisions. The method used in the Decision Support System is to use Multi-Attributive Border Approximation Area Comparison (MABAC). This method was chosen because it can assist the decision-making process determining the optimal midwifery academy, in this case the intended alternative is the one who has the right to become the best Midwifery Academy based on the specified criteria.
Co-Authors Anggiat Hatuaon Sihite Annisa Fadillah Siregar Berliana Oktaviani Sinaga Debi Razabni Erika Medinah Dedi Verianto Laia Dongoran, Atriyanti Ratu Pelita Edward R Siagian Edward R Siagian Eferoni Ndururu Fitri Handayani Lubis Hasibuan, Muhammad Abdul Rasyid Hidayah, Wahyu Hondro, Yuliani Susiawati Hutabarat, Sumiaty Adelina Hutahaean, Yosefa Fras Imam Saputra Imam Saputra Indah Lestari Lumban Gaol Kennedi Tampubolon Laia, Dedi Verianto M Chairul Azmi M. Iqbal Kurniansyah Mahadi Winafil Manalu, Juliadi Manik, Jens Presisken Megawati Minarya Sitepu Mita Erlida Sipahutar Muhammad Syahrizal Munte, Joni Murdani Ndruru, Eferoni Nur Aini Nusra Anwar Pilipus Tarigan Riswan Limbong Rizki Dermawan Rizky Hasanah Restari Sarah Syahputri Siagian, Edward Robinson Siagian, Widyanti Masintan Siburian, Henry Kristian Simanullang, Putri M Sinaga, Sony Bahagia Sofi Andianis Fau Suginam Syahputra, Ridwa Taronisokhi Zebua Tonggam Harado Wilson Sinaga Ulfa, Kurnia Winafil, Mahadi Yitro Moarota Harefa