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Comparasion Support Vector Machine And K-Nearest Neighbor for Classification fertile And Infertile Eggs Based on GLCM Texture Analysis Nurdiyah, Dewi; Muwakhid, Indra Abdam
Jurnal Tr@nsForMat!ka Vol 13, No 2 (2016)
Publisher : Jurusan Teknologi Informasi Universitas Semarang

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Abstract

Fertility eggs test are steps that must be performed in an attempt to hatch eggs. Fertility test usually use egg candling. The purpose of observation is to choose eggs fertile  (eggs contained embryos) and infertile eggs (eggs that are no embryos). And then fertilized egg will be entered into the incubator for hatching eggs and infertile can be egg consumption. However, there are obstacles in the process of sorting the eggs are less time efficient and inaccuracies of human vision to distinguish between fertile and infertile eggs. To overcome this problem, it can be used  Computer Vision technology is having such a principle of human vision. It used to identify an object based on certain characteristics, so that the object can be classified. The aim of this study to comparasion classify image fertile and infertile eggs with SVM (Support Vector Machine) algorithm and K-Nearest Neighbor Algorithm based on input from bloodspot texture analysis and blood vessels with GLCM (Gray Level Co-ocurance Matrix).  Eggs image  studied are 6 day old eggs. It is expected that the proposed method is an appropriate method for classification image fertile and infertile eggs.
Edukasi Cerdas: Enhancement Kapasitas Kader Tentang Gizi, Managemen Dan Pelaporan Data Balita Berbasis Digital Harsono, Harsono; Sugiharto, Sigit; Rinayati, Rinayati; Muwakhid, Indra Abdam; Erawati, Ambar Dwi; Dyah Retnaningrum, Okti Trihastuti; Iswandari, Hargianti Dini
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 3 (2025): Edisi Juli - September
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i3.6517

Abstract

Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk meningkatkan kapasitas kader Posyandu dalam aspek pemahaman gizi balita, keterampilan pencatatan dan pelaporan data, serta kemampuan edukatif menggunakan pendekatan aplikasi digital. Program ini dilaksanakan di Posyandu Delima (Bantul) dan Posyandu Lestari (Semarang) dengan melibatkan 27 kader. Metode kegiatan terdiri atas lima tahap, mulai dari identifikasi kebutuhan, pelatihan kontekstual, pendampingan langsung dan daring, hingga evaluasi pre- dan post-test. Hasil menunjukkan peningkatan signifikan dalam kompetensi kader, baik dalam memahami grafik KMS, mengoperasikan Aplikasi Posyandu Balita, hingga menyampaikan edukasi kesehatan. Temuan ini menunjukkan bahwa kombinasi pelatihan partisipatif dan teknologi sederhana dapat meningkatkan efektivitas layanan posyandu serta mendukung transformasi layanan primer berbasis komunitas