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All Journal Jurnal Teknik Komputer AMIK BSI CSRID
Sumijan Sumijan
Universitas Putra Indonesia "YPTK" Padang
Computer Science & IT

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Penerapan Gray Level Co-Ocurrence Matrix Dengan Metode Self Organizing Map Pada Deteksi Kematangan Buah Pinang Adil Setiawan; Soeheri Soeheri; Sumijan Sumijan
Computer Science Research and Its Development Journal Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.16.2.2024.174-187

Abstract

Areca nut can be seen through its fiber which plays an important role in improving digestion. Fiber helps facilitate bowel movements and prevent constipation, provides improvements in the digestive system and keeps teeth healthy. The results of this research obtained a classification model using the Gray Level Co-Occurrence Matrix. Many areca nut plantations still use manual methods to sort fruit, but this method is often inaccurate and varies, this is due to differences in the perceptions of each person. Histograms help you find images with similar color composition. Similarity is measured by calculating the distance between histograms. Color composition can be seen in the form of a histogram which represents the distribution of the number of intensity pixels for each color in an image. This research aims to detect the ripeness of areca nut fruit. This research uses a combination of RGB and HSV feature extraction techniques and GLCM extraction techniques. The resulting information is in the form of a percentage of similarity and classification of fruit maturity which includes Ripe (Hue=0.11893, saturation= 0.75727, value= 0.81813), half ripe (Hue= 0.17933, Saturation=0.20123, value= 0.44968) Unripe (Hue=0.21514, Saturation= 0.47934, Value= 0.36719) with an accuracy level of 100%, from images that have been processed.
Sistem Pendukung Keputusan Penerima Bantuan Usaha Kecil dan Menengah Menggunakan Metode Multifactor Evaluation Process Muhammad Harits Pratama; Sumijan Sumijan; Yuhandri Yuhandri
JURNAL TEKNIK KOMPUTER AMIK BSI Vol 10, No 1 (2024): Periode Januari 2024
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jtk.v10i1.17809

Abstract

Usaha Mikro Kecil Dan Menengah (UMKM) paling merasakan dampak dari guncangan ekonomi yang disebabkan oleh pandemi Covid-19. Salah satu kebijakan yang dikeluarkan pemerintah dalam rangka memperdayakan UMKM selama pandemi Covid-19 adalah pemberian bantuan sosial kepada pelaku UMKM. Untuk itu diperlukan adanya penetapan sistem baru yang dapat membantu Dinas Koperasi dan Umkm Kota Padang dalam menentukan prioritas penerima bantuan UMKM. Penelitian ini bertujuan untuk menghasilkan Sistem Pengambilan Keputusan dengan menggunakan metode MFEP dalam menentukan prioritas penerima bantuan UMKM. Metode Multi Factor Evaluation Process (MFEP) adalah metode pengambilan keputusan yang tepat ketika terdapat sejumlah faktor dalam pengambilan keputusan. Pada metode MFEP pembuat keputusan memberikan bobot dari setiap faktor. Bobot berkisar dari 0 sampai 1. Hasil penelitian ini menghasilkan sebuah Sistem Penunjang Keputusan yang menghasilkan perangkingan calon penerima bantuan UMKM.
Co-Authors Pratama, Muhammad Harits Setiawan, Adil Soeheri Soeheri Yuhandri Yuhandri