Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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 Amin, Saifuddin Amin Andri Irawan Anis, Muh. Ari Usman, Ari Arief Budiman Asmi, Aulia Ulil Azzahra, Azizah Cut Asmaul Husna, Cut Asmaul Danil, M. Faisal Danu, M. David David Diansyah, Tengku Moh Eli Susanti Estuningtyas, Retna Dwi Faisal Rizal Zaenal Faridah Faridah Fatimahtu Sahra, Siti Fausany, Fitri Haida Dafitri, Haida Handoko, Divi Harahap, Herlina HARMILAWATI Ibrahim, Muhdi B. Hi Iftika, Nur Indrawati, A. Iskandar Iskandar Ismawati Ismawati Jannah, Baiq Arihni Rohiatul Jayawarsa, A.A. Ketut Juliwis Kardi K, Sulfikar Lestari, Yuyun Dewi Lestari, Yuyun Dwi M. Iqbal Mildayanti, Mildayanti Muhammad Hatta Muhammad Zen, Muhammad Mulkiyan, Mulkiyan Muzaina, Nur Mytra, Prima Nabila, Zahiratun Nensia, Nensia Ni'mah, Siar Nur , Makmur Jaya Nur Wulan, Nur Nur, Andi Taufiq Nur, Makmur Jaya Nur, Rahmad Nurbayani Nurbayani 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 ridwan, hardiyanti Riska Riska Risma Haris Rismaini, Baiq Saharudin Saharudin Saiful Saniarti, Saniarti Sari, Ika Sarudin, Sarudin Sausan, Rafiqa Sembiring, Rinawati Silfia, Dwi Azziatus Sri Wahyuni SRY WAHYUNI, SRY Suriyati, Suriyati Syahputri, Nenna Irsa Syarifah, Dzul Himmatus Taufik Rahman Taufiq Nur Tommy, Tommy Trisnawati, Alinda Dewi Umar Umar Ummul Khair Utami, Adeh Ijam Putri Wahid, Zainul Wahyudi, R.Firdaus Warda Warda Wilson Sihaloho, Roy Yahya, Fizian Yendra Yessi Fitri Annisah Lubis Yusuf , Muhammad