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All Journal REKAYASA TIN: TERAPAN INFORMATIKA NUSANTARA
Hariyanto, Bagus
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The Analisis dan Perancangan Toko Online Berbasis Web Pada Tanaman Mini Yogyakarta Nurdianah, Siti; Hariyanto, Bagus; Haeri, Boby Renvi; Khotimah, Siti
TIN: Terapan Informatika Nusantara Vol 2 No 5 (2021): Oktober 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Tanaman Mini is a place for ornamental plant cultivation located in Denokan Hamlet, Sleman - Jogjakarta, mini plants sell various types of ornamental plants, liquid organic fertilizer, rabbit urine fertilizer, fertilizer for varigata, medicinal plants such as pesticides. In addition, mini plants sell planting media, there are 2 types of planting media, namely allocative planting media and planting media for varigata plants. As well as selling Moss (moss) and there are 2 types of Moss, namely Moss premium and Moss regular. However, Tanaman Mini are currently in product sales transactions using social media and the ordering process is written in a ledger so it is very difficult to make stock reports & sales reports .. To solve the existing problems, the Tanaman Mini shop wants to build an online sales system (E-Commerce) as a website to sell products sold by the Mini Plant shop and computerized sales transactions. to exist in the business world. With information system technology, it will facilitate various activities of delivering information or managing data in E-commerce. This research aims to facilitate service to consumers. by using a website-based information system and being able to present detailed information on plant species, finding information on seed types becomes easier. This system is designed using the PHP programming language and MySQL database
Identifikasi Acute Lymphoblastic Leukemia pada Citra Mikroskopis Menggunakan Algoritma Naïve Bayes Syidada, Shofiya; Hariyanto, Bagus
Rekayasa Vol 14, No 1: April 2021
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v14i1.9110

Abstract

Leukemia is a type of blood cancer that occurs when the body overproduces abnormal white blood cells. Acute Lymphoblastic Leukemia (ALL) is a type of acute leukemia. ALL occurs when the spinal cord is excessively producing young lymphocytes, known as lymphoblasts. Leukemia is difficult to detect because it has the same symptoms as other diseases. One way to detect leukemia is to use a complete blood count test. Blood count test is done by calculating the population of red blood cells, white blood cells and platelets. The health condition of the body is indicated by the number of each blood cell. The small number of erythrocyte and abnormal cell shape is indicative of leukemia. How to identify leukemia still using a microscope. In this study the researchers made a way of identifying acute lymphoblastic leukemia cells by image processing, include cropping, segmentation, feature extraction and identification. The method used in image identification is Naïve Bayes Classifier (NBC). NBC is a classification method which applies simple probability calculations using Bayes theorem. The white blood cell image tested using this application will be evaluated with accurations. The greatest accuracy results from several test scenarios obtained 80% accuracy.
Co-Authors Haeri, Boby Renvi Luh Putu Ratna Sundari Nurdianah, Siti Shofiya Syidada