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All Journal Jurnal Mirai Management Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informatika Jurnal INSYPRO (Information System and Processing) SEIKO : Journal of Management & Business AkMen JURNAL ILMIAH Jurnal Nasional Komputasi dan Teknologi Informasi EQIEN - JURNAL EKONOMI DAN BISNIS YUME : Journal of Management Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics International Journal of Economy, Education and Entrepreneurship (IJE3) Nobel Management Review Jurnal Manajemen Perbankan Keuangan Nitro International Journal of Multidisciplinary Research and Literature (IJOMRAL) KENDALI: Economics and Social Humanities Jurnal Aplikasi Manajemen & Kewirausahaan MASSARO Jurnal Bisnis dan Kewirausahaan Nobel Community Services Journal
Mashur Razak
STMIK Handayani Makassar
Aerospace Engineering Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Physics Social Sciences Transportation Other

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Journal : Jurnal Informatika

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Citra Digital Untuk Klasifikasi Kualitas Udang Windu Menggunakan Algoritma GLCM dan K-Nearest Neighbor Najirah Umar; Fiqri Haikal; Mashur Razak
Jurnal Informatika Vol 9, No 2 (2022): Oktober 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v9i2.13686

Abstract

Udang merupakan bahan pangan yang bersifat mudah rusak berdasarkan observasi secara langsung proses penyortiran udang yang dilakukan oleh distributor ataupun nelayan untuk menyeleksi udang berdasarkan kualitasnya masih menggunakan metode manual dan terkadang hasil penyortiran masih tidak sesuai dengan kualitas udang tersebut serta indikator dari kualitasnya hanya diliat dari fisik seperti berat ataupun ukuran pada udang tersebut, sehingga udang yang kualitas bagus dapat tercampur dengan kualitas kurang bagus maka dari itu akan terjadi kontaminasi yang menyebabkan udang yang kualitas bagus menjadi cepat busuk. Pada tugas akhir ini bertujuan untuk membangun sistem pengolahan citra yang menerapkan algoritma Gray-level Co-occurrence Matrix (GLCM) dan K-nearest Neighbor (K-NN) untuk mendeteksi tingkat kualitas udang windu. Proses pertama adalah melakukan akuisisi citra yaitu, mengumpulkan beberapa gambar digital dari setiap kualitas udang untuk dijadikan objek. Selanjutnya  dilakukan proses pre-processing yaitu perubahan citra menjadi grayscale. Kemudian proses ekstraksi ciri menggunakan metode Gray Level Co-occurrence Matrix (GLCM) untuk mendapatkan data ciri fitur dari seluruh citra digital dan mengklasifikasikannya dengan metode K-Nearest Neighbor (K-NN). Pada hasil pengujian tingkat akurasi yang berasal dari 10 sampel telah teruji bahwa sebanyak 80% mendapatkan hasil informasi klasifikasi kualitas yang sesuai dengan sistem. Dan sistem ini mampu memberikan solusi keputusan dalam menentukan klasifikasi kualitas pada Udang Windu, sedangkan berdasarkan hasil pengujian blackbox, sistem ini menghasilkan persentase kemudahan penggunaan aplikasi sebanyak 92%. Shrimp is a food that is easily damaged based on direct observation of the shrimp sorting process carried out by distributors or fishermen to select shrimp based on quality still using the manual method and sometimes the sorting results are still not in accordance with the quality of the shrimp and the quality indicators are only seen from the physical such as the weight or size of the shrimp, so that good quality shrimp can be mixed with less good quality, therefore contamination will occur which causes good quality shrimp to rot quickly. This final project aims to build an image processing system that applies the Gray-level Co-occurrence Matrix (GLCM) and K-nearest Neighbor (K-NN) algorithms to detect the quality level of Windu shrimp. The first process in this research is to perform image acquisition. That is, collecting several digital images of each quality of shrimp to use as an object. In addition, a pre-processing process is also carried out, namely changing the image to grayscale. Then the feature extraction process uses the Gray Level Co-occurrence Matrix (GLCM) method to obtain feature data from all digital images and classify them using the K-Nearest Neighbor (K-NN) method. The test results give an accuracy of 10 samples, it was found that as much as 80% got the results of quality classification information in accordance with the system. And this system is able to provide decision solutions in determining the quality classification of Windu Shrimp, while based on the results of blackbox testing, this system produces a percentage of application ease of use as much as 92%.
Co-Authors Abdul jalil Abdul Latief Arda Abdul Wahab Achmad Gani achmadi achmadi achmadi Agunawan Agunawan Ahmad Firman Amir Amir Andi Indriapati Andi Muhammad Ridwan ANITHA NITA TAHIR Anshar, Muh. Ashary Arwien, Riswin Arwien Asri Asri Astik Martini Martini Badaruddin Bambang Suharnanto Barhaman Barhaman Djalante, Andi Djasim, A. Kachsyfur Fatmasari Fatmasari Fatmasari Fatmasari Fatmawati Fatmawati Fiqri Haikal Gusti, Didiek Handayani Haedar Dahing Haeruddin Harlinda Harniati Arfan Harlindah Harniati Harun, Rusni Haryono, Didi Hazriani, Hazriani Hengky Yasing Ibnu Munzier Hasri Gani Japaruddin Japaruddin Jeni Kamase Kamaluddin, La Ode Amijaya Kartini Jafar Khaeriah Khaeriah Khaerullah H Khaerullah H Khaerullah H, Khaerullah H Lili Handayani, Lili M. Ihsan Indra Jaya Maryanita, Maryanita Masdar J Pratama Maslim Maslim, Maslim Megawaty, Megawaty Mudinillah, Adam Muh. Ashary Anshar Muhammad Amin Muhammad Hdayatullah Rahman Muhammad Hidayat Muhammad Hidayat Muhammad Hidayat Muhammad Rizal Mukhtar Hamzah Muliana Muliana Mulyawan Amin Nadya Utari Gunawan Nur Ainun Alwi Nur Baya Nuraeni Nuraeni Nurbayati Nurbayati Nurjannah Nurjannah Qadri, Khaerul Rabi’a H Maudjik Rahmat Saleh Rahmawaty, Ika risman Umar Rosnaini Daga Safirah Syihab Salam, Erick Salam, Riswan Sarial Budi Saripuddin D Sry Devianty Subriah Subriah Suharnanto, Bambang Suharnanto, Bambang Sujatmiko Sujatmiko Surianti Surianti Surianto Surianto Sutiara, Sutiara Syamsul Alam Syarifuddin Syarifuddin Yusnani Yunus YUSRI YUNUS Yuyun Zainuddin Mustapa