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All Journal Indonesian Journal of Electrical Engineering and Computer Science International Journal of Agriculture System Indonesian Sugar Research Journal
Abdul Latief Abadi
Brawijaya University
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Electrical & Electronics Engineering Energy Environmental Science

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Jatropha Curcas Disease Identification With Extreme Learning Machine Triando Hamonangan Saragih; Diny Melsye Nurul Fajri; Wayan Firdaus Mahmudy; Abdul Latief Abadi; Yusuf Priyo Anggodo
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: November 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i2.pp883-888

Abstract

Jatropha is a plant that has many functions, but this plant can be attacked by various diseases. Expert systems can be applied in identifying so that can help both farmers and extension workers to identify the disease. one of method that can be used is Extreme Learning Machine. Extreme Learning Machine is a method of learning in Neural Network which has a one-time iteration concept in each process. In this study get a maximum accuracy of 66.67% with an average accuracy of 60.61%. This proves the identification using Extreme Learning Machine is better than the comparison method that has been done before.
Identifikasi Molekuler Trichoderma sp. Isolat T10 ISRI sebagai Agen Hayati Penyakit Busuk Akar dan Pangkal Batang Xylaria Wiwit Wicaksono Jati; Ari Kristini; Agustin Sri Mulyatni; Abdul Latief Abadi
Indonesian Sugar Research Journal Vol 3, No 1 (2023): Indonesian Sugar Research Journal
Publisher : Pusat Penelitian Perkebunan Gula Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54256/isrj.v3i1.94

Abstract

Penyakit busuk akar dan pangkal batang pada tebu merupakan penyakit yang memiliki arti penting secara ekonomi.  Salah satu agen hayati yang berpotensi mengendalikan penyakit busuk akar dan pangkal batang Xylaria adalah Trichoderma sp. Isolat T10 ISRI memiliki aktivitas enzim kitinase yang tinggi sehingga dapat digunakan sebagai agen hayati. Identifikasi isolate T10 ISRI bertujuan agar potensi lain dari isolate T10 ISRI dapat diktahui. Tujuan dari penelitian ini adalah untuk mengidentifikasi isolat T10 ISRI sampai dengan tingkat spesies melalui identifikasi secara molekuler. Metode identifikasi dilakukan dengan sequencing DNA melalui BLAST dan pembuatan pohon filogenik. Hasil penelitian menunjukkan bahwa spesies isolat T10 ISRI yaitu Trichoderma asperellum dengan kesamaan 100% dengan strain Trichoderma asperellum T sum 66 dari data NCBI dan kedekatan dalam kelompok 0,00001 dari pada jarak diluar kelompok yaitu 0,3287.
In vitro evaluation of the effect of combined indigenous antagonistic bacteria against Fusarium oxysporum Gallyndra Fatkhu Dinata; Luqman Qurata Aini; Abdul Latief Abadi
International Journal of Agriculture System VOLUME 11 ISSUE 1, JUNE 2023
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ijas.v11i1.4330

Abstract

This study aimed to evaluate the potential of combined indigenous antagonistic bacteria against Fusarium oxysporum f.sp. cepae by in vitro. These bacteria were originated from coffee plant litter in UB Forest and already known their ability as a single biocontrol against F. oxysporum. The research was conducted at the Plant Disease Laboratory, Department of Plant Pests and Diseases, Brawijaya University. The methods consisted of isolate preparation, pathogenicity test and in vitro antagonistic test using a modified multiple culture method. The study was conducted with eight treatments and four replications.  Based on this study, there were four best treatments in inhibiting the mycelia growth of F. oxysporum more than 50% compared to the control. The highest inhibitory was Bacillus mycoides and Alcaligenes faecalis which were able to inhibit F. oxysporum up to 67,46%. This study proves the potential of a new combination of indigenous antagonistic bacteria to inhibit fusarium wilt disease.
Co-Authors Agustin Sri Mulyatni Ari Kristini Dinata, Gallyndra Fatkhu Diny Melsye Nurul Fajri Luqman Qurata Aini Saragih, Triando Hamonangan Wayan Firdaus Mahmudy Wiwit Wicaksono Jati Yusuf Priyo Anggodo