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Suriati, Suriati
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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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Implementation of the Support Vector Machine (SVM) Method for Classifying the Maturity Level of Oil Palm Fruit Oktaviana, Boni; Suriati, Suriati
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10783

Abstract

This study discusses the classification of palm fruit ripeness levels using the Support Vector Machine (SVM) method. Palm fruit ripeness significantly affects the yield and quality of the oil produced. By utilizing image processing techniques, colour and texture features are extracted from the fruit images to support the classification process. The SVM model was trained with a dataset covering various ripeness levels, including unripe, ripe, overripe, and rotten. The evaluation results show the high accuracy of the SVM model in identifying ripeness levels. This study highlights the potential of machine learning technology in improving the productivity and quality of agricultural products. Support Vector Machine (SVM) is a machine learning method used to classify data into categories by finding the optimal dividing line between two classes, thereby maximizing the distance between the data from the two classes. SVM itself has proven to be very effective in detecting images, as evidenced by several studies such as detecting the ripeness level of melon fruit, each producing a model with an accuracy level above 86%. Thus, this study uses SVM suitable for use in detecting the ripeness level of oil palm fruit. This study produced an SVM model with an accuracy level of 93%.
Co-Authors Adabi, M. Wasil Adillah, Nur Akbar, Muhammad Aldrin Al Fath, Lukman Al-Farizi, Salman Alawiyah, Desi Amin, Saifuddin Amin Andri Irawan Anis, Muh. Ari Usman, Ari Arief Budiman Asmi, Aulia Ulil Asriadi Asriadi Azzahra, Azizah Chatarina Umbul Wahyuni Cut Asmaul Husna, Cut Asmaul Danil, M. Faisal Danu, M. David David Dharmawati Dharmawati, Dharmawati Diansyah, Tengku Moh DP Telnoni, Junefra Edy Kurniawan, Edy Eli Susanti Estuningtyas, Retna Dwi Evie Palenewen Fahreza, Muhammad Fadli Faisal Rizal Zaenal Fatimahtu Sahra, Siti Fausany, Fitri Firmansyah, Muhammad Arham Haida Dafitri, Haida Handoko, Divi Harahap, Herlina HARMILAWATI Ibrahim, Muhdi B. Hi Iftika, Nur Indrawati, A. Iskandar Iskandar Ismawati Ismawati Jamaluddin Jamaluddin Jannah, Baiq Arihni Rohiatul Jayawarsa, A.A. Ketut Juliwis Kardi K, Sulfikar Lestari, Yuyun Dewi Lestari, Yuyun Dwi Liza, Risko M. Iqbal Mari, Mari Mildayanti, Mildayanti Muhammad Hatta Muhammad Zen, Muhammad Mulkiyan, Mulkiyan Muzaina, Nur Mytra, Prima Nabila, Ridha Nabila, Zahiratun Nabir, Abd. Muhaemin Nensia, Nensia Ni'mah, Siar Nur , Makmur Jaya Nur Wulan, Nur Nur, Andi Taufiq Nur, Makmur Jaya Nur, Rahmad Nurbayani Nurbayani Nurfadilla, Nurfadilla Nurqadriani, Nurqadriani Oktaviana, Boni Phitaloka, Tri Indah Prasetia, Andre Pratama, Angga Rusrian Priyowidodo, Stephanus Putera, Andrei Wara Putri, Delinda Auralia Rahman, Sayuti Rahmatullah Rahmatullah Rahmawati, Rahmawati Rahmiati Rahmiati Ramadhan , Fauzan Ramadhan, Fauzan ridwan, hardiyanti Riska Riska Risma Haris Rismaini, Baiq Saharudin Saharudin Sahmiar Pulungan, Sahmiar Saiful Samsul Rizal Saniarti, Saniarti Sanusi Sanusi Sari, Ika Sarudin, Sarudin Sausan, Rafiqa Sembiring, Rinawati Silfia, Dwi Azziatus Sri Wahyuni SRY WAHYUNI, SRY Suriyati, Suriyati Syahputri, Nenna Irsa Syam, Deby Febrianti Syam, St. Hajrah Syargawir, Syargawir Syarifah, Dzul Himmatus Syukur, Muh. Taufik Rahman Taufiq Nur Tommy, Tommy Trisnawati, Alinda Dewi Umar Umar Ummul Khair Utami, Adeh Ijam Putri Wahid, Zainul Wahyudi, R.Firdaus Warda Warda Williyandi, Rizky Wilson Sihaloho, Roy Yahya, Fizian Yati, Asmita Yendra Yessi Fitri Annisah Lubis Yusuf , Muhammad