Tomato is a fruit that grows in many tropical and subtropical areas. Tomatoes ripen very quickly, so improper handling can cause them to rot quickly. Distribution of tomatoes over long distances can cause quality degradation which can affect nutritional value. Farmers have many weaknesses to identify manual tomato ripeness due to factors such as fatigue, lack of motivation, experience, proficiency and so on. To solve this problem, the development of information technology allows identification of fruit maturity and even detection of fruit types with the help of computers. With the digital image, technology-based tomato maturity classification can be carried out. Therefore, in this study, the application of tomato maturity classification was carried out by applying the RGB average method to make it easier to determine the level of maturity of tomatoes. In this tomato maturity classification application, several processes are carried out, namely image reading, cropping, segmentation and RGB average calculation. There were 24 images of ripe tomatoes and 25 images of raw tomatoes used in the classification test for tomato maturity and the success rate was 95%.

CV atau Curriculum Vitae adalah daftar riwayat hidup yang berisi ringkasan perjalanan pendidikan serta aktivitas proffesional seseorang (Hariwijaya (2017:40)). Curriculum vitae berfungsi sebagai indikator diri yang meliputi riwayat, pengalaman, bakat-bakat dan kemampuan biasanya ditujukan untuk melamar suatu pekerjaan. Dalam Kamus Besar Bahasa Indonesia CV mempunyai pengertian atau definisi yakni uraian tentang segala sesuatu yang telah dialami (dijalankan) seseorang. Curriculum vitae memiliki dua karakteristik data yaitu data yang terstuktur dan tidak terstuktur. Disebut data terstuktur karena didalam sebuah curriculum vitae berisikan informasi atau deskripsi seseorang.