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All Journal E-Jurnal Matematika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Sains Matematika dan Statistika Format : Jurnal Imiah Teknik Informatika EIGEN MATHEMATICS JOURNAL International Journal of Engineering, Technology and Natural Sciences (IJETS) Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer dan Informatika Jurnal Eurekamatika UPGRADE: Jurnal Pendidikan Teknologi Informasi Diophantine Journal of Mathematics and Its Applications
Moch Anjas Aprihartha
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Social Sciences Other

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Journal : Diophantine Journal of Mathematics and Its Applications

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Klasifikasi Produktivitas Buah Nanas Menggunakan Algoritma Classification and Regression Tree (CART) Aprihartha, Moch. Anjas; Putrawan, Zulhandi; Zulhan , Dicky; Ahardika Nurfaizal, Fatma
Diophantine Journal of Mathematics and Its Applications Vol. 3 No. 1 (2024)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/diophantine.v3i1.34193

Abstract

Indonesia is one of the countries that has a variety of fruits cultivated. One of them is the pineapple fruit. Various pineapple-based products such as pineapple juice, canned foods, pineapple jam, etc. The high demand for pineapples presents an opportunity for companies to increase pineapple product processing. The increase in pineapple productivity is influenced by several factors, one of which is the extent of land and the type of pineapple produced. To improve pineapple productivity, it can be done by classifying the types of pineapples based on productive and non-productive categories. The purpose of this classification is to enable farmers or plantation managers to allocate resources more efficiently by providing more intensive care for productive category pineapples. The classification method that can be used to classify productive and non-productive pineapples is the Classification and Regression Tree (CART) algorithm. The CART method is a method that produces decision tree models that are used to solve classification and regression problems. This research uses the CART method to classify pineapple productivity. The research results obtained accuracies, sensitivities, specificities, and precisions of 97.06%; 92.31%; 100%; 100% respectively. Meanwhile, the AUC obtained is 0.962 which indicates that the model is very good at predicting pineapple productivity correctly.
Co-Authors Achmad Wahid Kurniawan Ahardika Nurfaizal, Fatma Akrom, Muhamad Alam, Taufik Nur Andrianza, Muhammad Rafly Ayu Pertiwi Azizah, Rahmatul Azzahro, Salwa Paramita Budi, Setyo Dicky Zulhan Fatma Ahardika Nurfaizal Fitri Astutik Hady Rasikhun Harun Al Azies Herowati, Wise Hidayat, Novianto Nur Husniyadi, M. Idham Idham Ignatius Moses Setiadi, De Rosal Jus Prasetya JUS PRASETYA Muhammad Naufal, Muhammad Muljono Muljono Nani Sulistianingsih Noor Ageng Setiyanto, Noor Ageng Nurfaizal, Fatma Ahardika Prabowo, Wahyu Aji Eko Prasetya, Jus Putrawan, Zulhandi Safitri, Aprilyani Nur Sefri Imanuel Fallo Sudibyo, Usman Supriadi Rustad T. Sutojo Trisnapradika, Gustina Alfa Zulhan , Dicky Zulhan, Dicky Zulhandi Putrawan