Implementasi Algoritma ID3 Pada Analisa Data Pengolahan Karet
DOI:
https://doi.org/10.47065/bulletincsr.v4i3.340Keywords:
Rubber Processing; Data Mining; ID3 AlgorithmAbstract
PT. Socfindo, rubber cultivation and production is one of the main activities, where production risks play a significant role. Fluctuating rubber production and productivity are among the consequences of production risks. The production and productivity of natural rubber at Aek Pamienke PT Socfindo have experienced fluctuations from 2009 until now. There have even been instances of unmet production targets at the company. This is attributed to several production risks, such as technological usage, rainfall, pests, and diseases, resulting in a yearly decrease in total rubber processing despite consistent land area. Data mining is a process that utilizes statistical techniques, mathematics, artificial intelligence, and machine learning to extract and identify useful information and related knowledge from various large databases. The ID3 algorithm is one data mining algorithm specifically applied to decision tree techniques. By employing the classification algorithm ID3, it can assist PT. Socfindo Aek Pamienke in processing rubber processing data. In this algorithm, the selection of attributes to be processed uses information gain. In selecting attributes for object resolution within multiple data, the attributes that produce the greatest information gain must be chosen.
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G. ZHAFIRA, “ANALISIS FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP PRODUKSI GETAH KARET DI AREAL HUTAN KEMASYARAKATAN (HKm) MANGGA MULYO KABUPATEN WAY KANAN,” 2019.
F. Achmad, A. C. Farhani, P. Febriyanto, and J. Jerry, “Pengaruh usia tanaman karet terhadap analisa diagnosa lateks pada klon RRIM 921,” J. Sci. Appl. Technol., vol. 5, no. 1, pp. 1–8, 2021.
M. Irene, E. J. P. Utama, and B. Wibowo, “Perkebunan karet rakyat masyarakat dayak Desa di Kabupaten Sintang tahun 1980-2020,” Hist. Didakt. J. Pendidik. sejarah, Budaya dan Sos., vol. 2, no. 1, pp. 15–29, 2022.
J. Suntoro, DATA MINING: Algoritma dan Implementasi dengan Pemrograman php. Elex Media Komputindo, 2019.
H. Hikmatulloh, A. Rahmawati, D. Wintana, and D. A. Ambarsari, “Penerapan Algoritma Iterative Dichotomiser Three (Id3) Dalam Mendiagnosa Kesehatan Kehamilan,” Klik-Kumpulan J. Ilmu Komput., vol. 6, no. 2, p. 116, 2019.
D. P. Utomo and M. Mesran, “Analisis komparasi metode klasifikasi data mining dan reduksi atribut pada data set penyakit jantung,” J. Media Inform. Budidarma, vol. 4, no. 2, pp. 437–444, 2020.
A. H. Ardiansyah, W. Nugroho, N. H. Alfiyah, R. A. Handoko, and M. A. Bakhtiar, “Penerapan Data Mining Menggunakan Metode Clustering untuk Menentukan Status Provinsi di Indonesia 2020,” in Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 2020, pp. 329–333.
A. O. P. Dewi, “Big Data di Perpustakaan dengan Memanfaatkan Data Mining,” Anuva J. Kaji. Budaya, Perpustakaan, dan Inf., vol. 4, no. 2, pp. 223–230, 2020.
A. Fahreza, “Penerapan Data Mining dengan Metode Single Moving Average dalam Pengolahan Data Penerimaan Siswa Baru,” in Seminar Nasional Ilmu Komputer (SNASIKOM), 2022, pp. 25–34.
Y. Irawan, “Penerapan Data Mining Untuk Evaluasi Data Penjualan Menggunakan Metode Clustering Dan Algoritma Hirarki Divisive Di Perusahaan Media World Pekanbaru,” J. Teknol. Inf. Univ. Lambung Mangkurat, vol. 4, no. 1, pp. 13–20, 2019.
P. B. N. Setio, D. R. S. Saputro, and B. Winarno, “Klasifikasi Dengan Pohon Keputusan Berbasis Algoritme C4. 5,” in PRISMA, Prosiding Seminar Nasional Matematika, 2020, pp. 64–71.
S. A. Saputera, “Aplikasi Sistem Penilaian Kinerja Guru Dengan Metode Decision Tree Menggunakan Algoritma ID3 (Studi Kasus SLTP Negeri 3 Marga Sakti Bengkulu Utara),” J. Technopreneursh. Inf. Syst., vol. 2, no. 1, pp. 1–7, 2019.
F. Hafidh, M. Y. Kurniawan, and R. I. Y. Anwar, “Identifikasi ketunaan anak berkebutuhan khusus dengan algoritma iterative dichotomiser 3 (id3),” J. Buana Inform., vol. 12, no. 2, pp. 78–87, 2021.
G. Gunawan, A. C. Fauzan, and H. Harliana, “Implementasi Algoritma Decision Tree Iterative Dichotomiser 3 (ID3) untuk Prediksi Keberhasilan Pengobatan Penyakit Kutil Menggunakan Cryotherapy,” J. Bumigora Inf. Technol., vol. 4, no. 1, pp. 73–82, 2022.
S. N. Afiyah and W. D. A. Nabila, “Implementasi Iterative Dichotomiser 3 (ID3) Untuk Penentuan Kelayakan Pemberian Kredit Pada PT. BPR Ploso Saranaartha Jombang,” Positif J. Sist. Dan Teknol. Inf., vol. 7, no. 1, pp. 60–69, 2021.
S. Hutapea, E. L. Panggabean, R. Aziz, T. H. S. Siregar, and S. Suswati, “Aspek Agronomi Pohon Karet dan Masalah yang Dihadapi Petani Karet,” J. Pengabdi. Kpd. Masy. (Indonesian J. Community Engag., vol. 6, no. 2, pp. 74–79, 2021.
T. Rubiyanti, W. Hidayat, I. G. Febryano, and S. Bakri, “Karakterisasi Pelet Kayu Karet (Hevea brasiliensis) Hasil Torefaksi dengan Menggunakan Reaktor Counter-Flow Multi Baffle (COMB)(Characterization of Rubberwood (Hevea brasiliensis) Pellets Torrefied with Counter-Flow Multi Baffle (COMB) Reactor),” J. Sylva Lestari, vol. 7, no. 3, pp. 321–331, 2019.
E. Tamala, “TEKNIK BUDIDAYA DAN PANEN KARET (Hevea brasiliensis Mull Arg.) DI KECAMATAN BULUKUMPA KABUPATEN BULUKUMBA= RUBBER (Hevea brasiliensis Mull Arg.) CULTIVATION AND HARVESTING TECHNIQUES IN BULUKUMPA DISTRICT, BULUKUMBA REGENCY.” Universitas Hasanuddin, 2022.
V. Krismawan, M. Muchtolifah, and S. Sishadiyati, “Pengaruh Nilai Tukar, Produksi Karet Indonesia dan Harga Karet Indonesia terhadap Ekspor Karet Indonesia Periode Tahun 2008-2019,” J. Ekobis Dewantara, vol. 4, no. 3, pp. 134–143, 2021.
A. Husaini, D. D. Fahrezi, M. A. Arbavella, and N. P. Sadewa, “Analisis Ekspor Komoditi Karet di Indonesia Terhadap Perdagangan Internasional 2016-2020,” J. Econ., vol. 2, no. 2, pp. 439–445, 2023.
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