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All Journal Jurnal Informatika Universitas Pamulang JURIKOM (Jurnal Riset Komputer) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Sainstek : Jurnal Sains dan Teknologi JURSIMA (Jurnal Sistem Informasi dan Manajemen) Indian Journal of Forensic Medicine & Toxicology Jurnal Digit : Digital of Information Technology Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Puan Indonesia Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Jurnal Sains Informatika Terapan (JSIT) Engineering and Technology International Journal (EATIJ) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat JURSIMA Jurnal Sistem Informasi dan Manajemen JR : Jurnal Responsive Teknik Informatika Jurnal Pengabdian Masyarakat Bangsa Jurnal Responsive Teknik Informatika JoDENS: Journal of Digital Ecosystem for Natural Sustainability
Febrianti, Eka Lia
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Journal : JOURNAL OF SCIENCE AND SOCIAL RESEARCH

 1 
PENGOLAHAN CITRA DIGITAL DAN LOGIKA FUZZY DALAM IDENTIFIKASI TINGKAT KEMATANGAN BUAH Agus Suryadi; Meylia Vivi Putri; Eka Lia Febrianti
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 5, No 2 (2022): June 2022
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v5i2.863

Abstract

This study aims to implement digital image processing and fuzzy logic in identifying the maturity level of red dragon fruit and describing the level of accuracy. The process carried out is to change the type of red dragon fruit image from the red green blue (RGB) type to the grayscale type. Furthermore, extraction is carried out using MATLAB to obtain information from the image. Information from the image is contrast, correlation, energy, homogeneity, mean, variance, entropy. There are 7 information used as fuzzy input. The input fuzzy model uses triangular and trapezoidal membership functions to construct fuzzy rules on 28 data, so there are 28 fuzzy rules. After the fuzzy rules are obtained, then the inference and defuzzification processes are carried out. The inference used is the mamdani method. The result of defuzzification is the value for the maturity level of red dragon fruit which is divided into four categories, namely raw, half-ripe, ripe, rotten. The fuzzy model that has been built will test the model by determining the level of accuracy and error of the model. With the results of 96.42% with an error of 3.57%.
Co-Authors AGUS Agus Suryadi Agus Suryadi Alex Sandri Sikumbang Andhika Andhika Andhika, Andhika Cindya Alfi Edison Fariwati Fernando, Felix Gulo, Johanes Try Oktavianus Herasmus, Hilda Herman Hilda Herasmus Ilwan Syafrinal Johan, Dasman Mahardika Abdi Prawira Tanjung Meylia Vivi Putri Meylia Vivi Putri Mohamad Fatih Nasution, Akmal Netrysa, Iza Pernando, Yonky Putra, Ondra Eka Roza, Yuni Sikumbang, Alex Sandri Suryadi , Agus Syafrinal , Ilwan Tang, Steven Tika Christy Triyanti, Vivie Verdian, Ihsan Vivi Putri, Meylia Whenjaya, Calvin Wijaya, Jonathan Winston, Frenky Yuni Roza Yuni Roza