Febri Liantoni, Rifki Indra Perwira, Lusi Dwi Putri, Rosida Tiurma Manurung, Muhammad Syahrul Kahar, Jehan Safitri, Lusy Tunik Muharlisiani, Dina Chamidah, Abd. Ghofur, Putu Sukma Kurniawan, E. Wityasminingsih, Yuniningsih, Susilo, Muhammad Yusuf, Muh Ardian Kurniawan, Sumitro, Bayu Prabowo Sutjiatmo, Nalal Muna, Fajria Fatmasari, Sarono Widodo, Andi Reni Syamsudin, G.S. Achmad Daeng, Dudung Ma'Ruf Nuris, Ratna Dyah Suryaratri, Tutut Suryaningsih, Indrya Mulyaningsih, Tari Nawas
Watermelon (Citrullus Lanatus Tunb / Citrullus Vulgaris Schrad) is a vine that grows rapidly in Indonesia. Watermelon has many benefits that make watermelon one of the fruits sought by the community. The maturity of watermelon can be distinguished based on watermelon skin texture. The similarity in watermelon skin texture causes people difficulty in identifying the level of maturity of mature and immature watermelon. Based on these problems, research was carried out for the classification of watermelon maturity based on watermelon skin texture. The first-order statistical feature extraction method is used as a method to recognize watermelon maturity in terms of fruit skin texture in the classification process. The first order statistical characteristic parameters used are mean, variance, skewness, and kurtosis. Based on the extraction value of these statistical features, then used as a reference classification process using the k-nearest neighbour method. The data in this study are 100 images, of which 70 are for training data and 30 for testing data. From the results of testing the maturity classification of watermelon using k-nearest neighbour based on fruit skin texture based on extraction of firstorder features, 86.66% accuracy was obtained. © Published under licence by IOP Publishing Ltd.
Information Technology, Tama Institute of Technology Surabaya, Adhi, Indonesia; UPN VeteranYogyakarta, Indonesia; Universitas Lancang Kuning, Indonesia; Universitas Kristen Maranatha, Indonesia; Universitas Muhammadiyah Sorong, Indonesia; Universitas Lambung Mangkurat Indonesia, Indonesia; Universitas Wijaya Kusuma Surabaya Indonesia, Indonesia; STKIP PGRI Lamongan, Indonesia; Universitas Pendidikan Ganesha, Indonesia; Politeknik Piksi Ganesha, Indonesia; Universitas Pembangunan Nasional Veteran, Jawa Timur, Indonesia; Universitas Negeri Semarang Indonesia, Indonesia; Universitas Malikussaleh, Indonesia; Universitas Hamzanwadi, Indonesia; Universitas Dayanu Ikhsanudin Indonesia, Indonesia; Politeknik APP Jakarta Indonesia, Indonesia; Politeknik Negeri Semarang Indonesia, Indonesia; Universitas Hasanuddin Makassar, Indonesia; Universitas 45 Surabaya, Indonesia; Universitas Negeri Malang, Indonesia; Universitas Negeri Jakarta, Indonesia; STKIP PGRI Tulungagung, Indonesia; IAIN Syekh Nurjati Cirebon, Indonesia
