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Roni, Roni
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Implementasi Naïve Bayes dan Decision Tree Untuk Klasifikasi Jenis Tanaman Roni, Roni; Abdullah, Asrul; Insani, Rachmat Wahid Saleh
Jurnal Tekno Insentif Vol 19 No 2 (2025): Jurnal Tekno Insentif
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah IV

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36787/jti.v19i2.2072

Abstract

Abstrak Sektor pertanian berkontribusi penting bagi perekonomian Indonesia, namun pemilihan tanaman masih mengandalkan cara tradisional yang kurang efisien. Penelitian ini mengembangkan sistem klasifikasi tanaman berbasis parameter tanah dan iklim dengan algoritma Naïve Bayes serta Decision Tree. Proses penelitian mengikuti enam tahap CRISP-DM. Data diambil dari Kaggle dengan variabel nitrogen, fosfor, kalium, suhu, kelembapan, pH, dan curah hujan. Evaluasi memakai Confusion Matrix dan Cross-Validation dengan akurasi, presisi, recall, dan F1-score. Hasilnya, Decision Tree akurat pada data latih (97,95%) namun turun di data uji (91,57%), sedangkan Naïve Bayes lebih stabil (95,25%–95,32%) sehingga direkomendasikan karena hasil yang konsisten dan lebih dapat diandalkan. Perbedaan ini terjadi karena kompleksitas struktur Decision Tree membuatnya lebih rentan terhadap overfitting, sedangkan Naïve Bayes yang bersifat probabilistik lebih stabil terhadap variasi data. Kata kunci: Pertanian, Klasifikasi Tanaman, Naïve Bayes, Decision Tree, CRISP-DM Abstract The agricultural sector plays an important role in Indonesia’s economy, yet crop selection still relies on traditional practices that are often inefficient. This study develops a crop classification system based on soil and climate parameters using the Naïve Bayes and Decision Tree algorithms. The research process follows the six stages of CRISP-DM. The dataset, obtained from Kaggle, includes nitrogen, phosphorus, potassium, temperature, humidity, soil pH, and rainfall. Evaluation was conducted with a Confusion Matrix and Cross-Validation using accuracy, precision, recall, and F1-score. Results indicate that Decision Tree achieved 97.95% accuracy on training data but decreased to 91.57% on testing data, while Naïve Bayes remained more stable (95.25%–95.32%), thus recommended for its consistent and more reliable performance. This difference occurs because the complexity of the Decision Tree structure makes it more prone to overfitting, while the probabilistic Naïve Bayes is more stable against data variations. Keywords: Agriculture, Crop Classification, Naïve Bayes, Decision Tree, CRISP-DM.
Genetic Variability of Shallot Genotypes Induced by Salicylic Acid Under Drought Conditions Khotimah, Khusnul; Randi, M. Jusuf; Roni, Roni; Azizah, Farsya
Jurnal Ilmu Pertanian Vol 11, No 1 (2026): April
Publisher : Faculty of Agriculture, Universitas Gadjah Mada jointly with PISPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ipas.113972

Abstract

Shallots (Allium cepa L. var. aggregatum) are an important horticultural commodity in Indonesia whose production is highly susceptible to drought stress. This study aims to evaluate the effect of salicylic acid (SA) induction on improving morphological traits and yield components traits under drought conditions and to analyze genetic variability in five shallot varieties. The experimental design used was a Completely Randomized Design-Split Plot Design with 3 replications. The main plot treatment was the variety factor (V) and the subplot factor was the salicylic acid concentration factor (S). The V factor consisted of 5 varieties, namely V1 = Bima Brebes, V2 = Bima Juna, V3 = Tajuk, V4 = Nganjuk Bauci and V5 = Superphilip. While the S factor consisted of 2 levels, namely S0 = without SA (control), and S1 = 1 mM salicylic acid. Each treatment combination was planted under drought stress conditions. The parameters observed included Leaf length , Leaf Number/clump/, dry leaf weight, dry root weight, bulbs number, dry bulbs weight. And dry bulbs weight/clump. Data analysis was carried out using ANOVA and continued with Duncan's advanced test at the 5% level to determine differences between treatments, in addition to calculations of genetic and phenotypic variance, genetic diversity coefficients and broad-sense heritability estimates. The results of the study confirmed that salicylic acid can improve morphological traits and yield components in all varieties. The V1 variety (Bima Brebes) resulting from SA induction tends to have the best improvement in both morphology and yield components. The genetic diversity coefficient has a value ranging from 8.32-31.66%, where high values of Genetic Variation Coefficient (GVC) (>20%) are found in the traits of leaf number/clump, dry leaf weight, dry root weight, bulbs number, dry bulbs weight and dry bulbs weight/clump. Traits with high GVC values can possibly be used as selection parameters. In addition, high broad-sense heritability values (>50%) were found for the Leaf Number/clump, bulbs dry weight, and bulbs dry weight/clump, with estimated values of 52.37%, 50.67%, and 60.19%, respectively. The high broad-sense heritability estimates indicate that these three traits are predominantly genetically controlled.
Co-Authors Aditya Saputra, Rangga Afifah, Hurotun Agus Ridwan Akhdzulhijah, Akhdzulhijah Aliya Supandih, Fathia Aminuyati Amrullah Amrullah Andang, Baharuddin Andi Yulianto Aris Riswandi Sanusi, Aris Riswandi Arninda, Arninda Arsad, Arsad Asnuddin, Asnuddin Asrul Abdullah Ayadilah, Sri Azizah, Farsya Beatrix Benni Bela Dwi Defira Damsid, Damsid Daniyati*, Dini Deny Setiawan Didik Nurhadi Djodjok Soepardjo Dona Setia Umbara Dumadi Dumadi, Dumadi Efendi, Rachmat Erlita, Erlita Erwin Susanto Fanani, Urip Zaenal Fanni, Maghfira Nur Tri Ferliyyana, Navilla Ferrianto Gozali Gias, Muhammad Hadi Wiyono Halim Wiryadinata Hamdiyah, Hamdiyah Hardiantini, Rika Hariyati, Nuria Reny Hartanti, Lina Purwaning Hasan, Ferdi Hasim Hasim Hendri Herman Hilda Kumala Wulandari Ibrahim Ibrahim Indahningrum, Marina Indra, Jhoni Iqbal, Mohammad Ali Irma Suryani Istikoma Istikoma Jabar, Aryuni Salpiana Karolina, Venny Kato, Jun Kharisma, Anisa Sains khusnul khotimah Lenny Puspita Dewi Mafthukin, Mafthukin Masrokhah, Yuni Maulana Ghibran Mayasari, Erma Dewi Mintowati, Maria Misriati Misriati, Misriati Mohamad Badrun Zaman Muhammad Hidayat Mulyadi Mulyadi Nasiruddin Nasiruddin Nessya, Nessya Ningrum, Sekar Ayu Nur Dayanto, Rizki Avrilian nur laela Permatasari, Nevia Octa Putri Kurniasih Putri, Eka Risma Rachmat Wahid Saleh Insani Randi, M. Jusuf Ratna Esmayanti Riono, Slamet Bambang Rizqi Amellia Roisyah, Kholis Roseniati, Irna Sains Kharisma, Anisa Sam Hermansyah Sapondra Wijaya, Sapondra Sari, Anita Maika Sari, Riska Imelda Satifali, Utrika Shodiq, Syamsul Soewito, Bambang Sri Buwono . Sri Hartati Subambang K., Subambang K. Subandiyah, Heny Sudikan, Setya Yuwono Sulistyowati Sulistyowati Sunandar Sunandar Susanti, Novia Lutfi susi susi Susmini, Susmini Suyatno Suyatno Syahadatina, Afrilia Wahyu Syarifah Putri Agustini Alkadri Syarini, Fitria WAHYU FIRMANSYAH Wartono Wartono Wibowo, Wahyu Dwi Ari Wilda Rezki Pratiwi Yosbekasa, Yosbekasa Yuslenita Muda Zainul Daulay Zaluchu, Sonny Eli Zulfadil, Zulfadil