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All Journal TEKNIK INFORMATIKA Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah FIFO Jurnal Teknoinfo JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science JURNAL TEKNIK JIKA (Jurnal Informatika) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Journal Social Science And Technology For Community Service Insearch: Information System Research Journal KOMMAS: Jurnal Pengabdian Kepada Masyarakat Community Services and Social Work Bulletin Prosiding Simposium Nasional Multidisiplin (SinaMu) Jurnal Media Jawadwipa

nurnaningsih, Desi

Universitas Muhammadiyah Tangerang

Author-ID : 899362

Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities 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 Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Social Sciences Other

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Implementasi Metode Linear Discriminant Analysis (LDA) Pada Klasifikasi Tingkat Kematangan Buah Nanas Destriana, Rachmat; Nurnaningsih, Desi; Alamsyah, Dedy; Sinlae, Alfry Aristo Jansen
Building of Informatics, Technology and Science (BITS) Vol 3 No 1 (2021): June 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Pineapple is a fruit commodity that is Indonesia's flagship. This is because pineapple is a fruit that has the highest export volume in Indonesia. To obtain pineapples with perfect ripeness, generally manually selected, this becomes inefficient if large numbers of pineapples are selected. So, in this study, an image processing system will be developed that can classify pineapple ripeness based on its image. In this study, the color feature extraction used is feature extraction based on hue and saturation values. Color feature extraction with hue and saturation is used to obtain various information from the colors in the image so as to facilitate the identification process. Furthermore, Linear Discriminator Analysis will obtain optimal projections to be able to enter spaces with smaller dimensions by performing pattern recognition that can be separated so that they can be grouped based on boundary lines obtained from linear equations. Based on the results of the accuracy test, the accuracy rate reaches 83%, it is in the good category

Identifikasi Citra Tanaman Obat Jenis Rimpang dengan Euclidean Distance Berdasarkan Ciri Bentuk dan Tekstur Nurnaningsih, Desi; Alamsyah, Dedy; Herdiansah, Arief; Sinlae, Alfry Aristo Jansen
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

In the midst of the Covid-19 pandemic, increasing the body's immunity is very important. Some experts suggest consuming medicinal plants or herbs to boost immunity. In addition to being used as a cooking spice, this rhizome type plant turns out to have properties and benefits for health, especially to increase immunity. However, many people do not know and it is difficult to distinguish the type of rhizome plant. This type of rhizome plant can be identified based on the characteristics seen from the shape and texture. However, most people judge the type of rhizome has a shape that is difficult to distinguish. This study aims to determine the type of medicinal plant rhizome with Euclidean distance and extraction of shape and texture. Extraction of shape features using metric and eccentricity parameters. This parameter is considered to be able to recognize shape objects and can distinguish them from other objects. Meanwhile, texture feature extraction uses Gray Level Co-occurence Matrix (GLCM) with contrast, correlation, energy, and homogeneity parameters. For the identification process, Euclidean distance is used which serves to represent the level of two images that consider the distance value from Euclidean. From the results of the evaluation using a confusion matrix by calculating precision, recall and accuracy, it gets a precision value of 83%, recal 87% and an accuracy of 85%. These results indicate that the Euclidean distance and extraction of shape and texture features can identify the object image of medicinal plants with rhizome types well

Co-Authors Achmad Udin Zailani Agung Wibowo Ahmad Rodoni Alamsyah, Dedy Alexander, Allan D Alfry Aristo Jansen Sinlae Ali Firdaus Angga Aditya Permana Angga Aditya Permana Angger Aifadnan Arif Kurniawan ARIF KURNIAWAN Ayuni, Diyah Bayu Surarso Daniarti, Yeni Destriana, Rachmat Dyas Yudi Priyanggodo Faiz Muqorrir Kaaffah Faridi Faridi Faridi Fauyhi Eko Nugroho Fryda Fatmayati Hadi Kurniawanto Harriansyah, Harriansyah Hengki Rusdianto Herdiansah, Arief Ida Ayu Putu Sri Widnyani Kasoni, Dian Kuswowo Adi Liesnaningsih Liesnaningsih Liesnaningsih, Liesnaningsih Muhammad Ikhsan Hafianto Nurhasan Nugroho Ramadhina, Salsabila Ridwan Ramadhan Rifqi Riadhi RIFQI RIADHI Rini Nuraini Rohmat Indra Borman Rohmat Taufiq Rosyid Ridlo Al-Hakim Salsabila Ramadhina Setiawansyah Setiawansyah Sulastri, Winda Tanniewa, Adam M

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Journal : Building of Informatics, Technology and Science