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All Journal Journal of Information Technology and Computer Science Journal of Medicine and Health Technology
Suryani, Siti Dwi
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience

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Implementation of HSI and LBP Feature Extraction for Identification of Broccoli Quality with F-KNN Findawati, Yulian; Suryani, Siti Dwi; Indahyanti, Uce; Khubro, Jamaluddin Jumadil
Journal of Information Technology and Computer Science Vol. 9 No. 2: August 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.92582

Abstract

This study proposes a method of searching for broccoli quality based on imagery using the Fuzzy K-nearest neighbor (F-KNN). Broccoli is used because it is a type of herbaceous vegetable that has a unique color and shape so visual assessment is still limited. The data used in this study were taken from 2 cities in Indonesia, Pasuruan and Malang Regency which consisted of good quality and bad quality. The total data used is 120, each quality comprising 60 images. In the pre-processing process, several stages are carried out to proceed to the next process. Feature extraction is done through algorithms, namely HSI (Hue, Saturation, and Intensity) and LBP (Local Binary Pattern), which are then divided into training and testing data. F-KNN is used as a classification. The accuracy obtained from this study reached 94.4%. This value indicates that the use of both feature extraction and classification algorithms produces good accuracy in the training and testing data with a 40:60 scenario. This result showed the potential of the feature extraction and F-KNN algorithm when classifying a large number of broccoli qualities.
Diagnostic and Therapeutic Alternative Medicine in Healthcare Practice: A Comprehensive Review Wibawa, Adhi Dharma; Risaldi, Randi Achtiar; Kartowirejo, Faiz Arrafi; Suryani, Siti Dwi; Kendenan, Valentino; Ahmad, Naufal; Sianipar, Cintya Melati; Zuhrotul Laili, Nazwa
Journal of Medicine and Health Technology Vol. 2 No. 1 (2025)
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j30466865.v2i1.2338

Abstract

Treatment that combines local wisdom and modern knowledge is increasingly developing. This treatment is known as alternative medicine, which differs from conventional medicine because it is intended for therapy or diagnosis and has a close relationship with cultural practices such as community spirituality. This review aims to comprehensively understand alternative medicine, including its background, reasons for its use and debates about its effectiveness and safety. In addition, this review aims to improve readers' understanding of alternative medicine so that they can make better decisions in choosing the right treatment. This review compares two types of alternative medicine, diagnostic and therapeutic medicine. Diagnostic alternative medicine focuses on identifying imbalances in the body that are believed to cause disease. In contrast, therapeutic alternative medicine is based on traditional beliefs, is empirical, or has been used for centuries. The debate about the credibility of these two alternative medicine methods is ongoing, and strong scientific evidence is needed to support their effectiveness and safety. In addition, it is important to discuss the regulation and standardization of practice for practitioners of these alternative medicines. This review emphasizes the importance of consulting a specialist before starting any alternative treatment to ensure its safety and suitability for the patient's health condition. This review helps to increase readers' understanding of alternative medicine, so they can make better decisions in choosing the right treatment.
Co-Authors Adhi Dharma Wibawa, Adhi Dharma Ahmad, Naufal Kartowirejo, Faiz Arrafi Kendenan, Valentino Khubro, Jamaluddin Jumadil Risaldi, Randi Achtiar Sianipar, Cintya Melati Uce Indahyanti Yulian Findawati Zuhrotul Laili, Nazwa