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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Agrotek Tropika
Warman, Riki
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Agriculture, Biological Sciences & Forestry Computer Science & IT

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THE EFFECT OF ARBUSCULAR MYCORRHIZAL FUNGI (AMF) AND ORGANIC FERTILIZERS ON MOLER DISEASE AND SHALLOT PRODUCTIVITY IN PEAT SOIL Warman, Riki; Rianto, Fadjar; Sasli, Iwan
Jurnal Agrotek Tropika Vol. 13 No. 1 (2025): JURNAL AGROTEK TROPIKA VOL 13, FEBRUARI 2025
Publisher : Departement of Agrotechnology, Agriculture Faculty, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jat.v13i1.6675

Abstract

ABSTRACTMoler is an important disease of shallot plants caused by Fusarium oxysporumattack so that it has an impact on decreased production and even crop failure. The application of Arbuscular Mycorrhizal Fungi (AMF) and organic fertilizers is one of the efforts to control moler disease by increasing plant resistance and suppressing disease development. The aim of the study was to examine the role of AMF and organic fertilizers in increasing resistance to moler disease and to increase the growth and yield of shallot. The research was conducted at the visitor plot in BPTP West Kalimantan, and the Laboratory Plant Disease Faculty of Agriculture Tanjungpura University, from October 2020 to April 2021. The experiment was arranged using a random complete design splitplot. The main plot of mycorrhizal treatment (without mycorrhizae, aplication of mycorrhizal). Sub-plots with doses of chicken manure (without chicken manure, 3 ton ha-1.6 ton ha-1, 9 ton ha-1, 12 ton ha-1, and 15 ton ha-1). The ability of AMF in increase resistance of shallot plants by prolonging the incubation period of the disease, reducing the incidence and severity of the disease and reducing the rate of infection and the severity of moler disease. The chicken manure applied was only able to increase tuber weight per clump and plant dry weight, but was not able to suppress the development of moler disease. The growth response due to mycorrhiza of shallots decreased along with the increase in the dose of organic fertilizer applied.
Classification of Clove Leaf Blister Blight Disease Severity Using Pre-trained Model VGG16, InceptionV3, and ResNet Pramesti, Putri Ayu; Supriyadi, Muhamad Rodhi; Alfin, Muhammad Reza; Noveriza, Rita; Wahyuno, Dono; Manohara, Dyah; Melati; Miftakhurohmah; Warman, Riki; Hardiyanti, Siti; Asnawi
Jurnal Ilmu Komputer dan Informasi Vol. 17 No. 2 (2024): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Informatio
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jiki.v17i2.1237

Abstract

Clove is one of the precious plants produced in Indonesia. Clove has many benefits for humans, but clove cultivation often experiences problems due to disease attacks, including Leaf Blister Blight Disease(CDC). The handling of CDC disease is carried out based on the severity of the symptoms that can be seen on the affected leaves. This research was conducted to obtain a CDC disease classification model, so appropriate treatment can be carried out. This study used the pre-trained VGG16, InceptionV3, and ResNet models for classification. VGG16 got the highest average accuracy of 96.7%. Aside from that, k-fold cross validation improved the model's accuracy.
Co-Authors Alfin, Muhammad Reza ASNAWI Dono Wahyuno Dyah Manohara Fadjar Rianto Iwan Sasli Melati Miftakhurohmah Putri Ayu Pramesti, Putri Ayu Rita Noveriza Siti Hardiyanti Supriyadi, Muhamad Rodhi