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I Made Anom S. Wijaya
Program Studi Teknik Pertanian, Fakultas Teknologi Pertanian Universitas Udayana
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

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Pendugaan Intensitas Serangan Penyakit BLB (Bacterial Leaf Blight) pada Tanaman Padi melalui Pendekatan Citra Multispektral Gusti Bagus Eka Chandra; I Made Anom S. Wijaya; Yohanes Setiyo
Jurnal BETA (Biosistem dan Teknik Pertanian) Vol 8 No 2 (2020): September
Publisher : Program Studi Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JBETA.2020.v08.i02.p18

Abstract

Bacterial Leaf Blight (BLB) is a disease that is dangerous for rice plants. This disease can attack in every phase of growth. Calculation of BLB disease attack intensity is currently still used manually method. Technology development is needed in estimating the intensity of BLB disease through multispectral imagery. This study aims (1) to get the best correlation value between the intensity of BLB disease attack with multispectral image parameters (2) to get the equation for estimating the intensity of BLB based on multispectral images parameter. Drone DJI Inspire 1 with a multispectral camera is used to captured the paddy field. The captured images was processed using Agisoft Photoscan and QGIS 3.8 software. Based on the results of the acquisition, multispectral images produce red, NIR, green, red edge, RGB band images which were then transformed into NDVI, EVI, and NDRE images. Of the threemultispectral image parameters, NDVI values have a stronger correlation level with a determination coefficient of 97.5% and produce the following linear equation y = -419.6 + 169.3. In calculating the NDVI parameter error value has the lowest error value compared to the EVI and NDRE parameters which is 4.64% with an accuracy estimate of 95.36%. Multispectral imagery can be used in estimating the intensity of BLB disease attacks in rice plants because it produces a very strong correlation value, and high estimation accuracy with a low error value does not exceed 10%.
Rancang Bangun Unit Pemotong dan Pengarah pada Mesin Panen Padi (Oryza sativa l) Tipe Carry Harvester Ida Bagus Komang Edo Setiawan; I Made Anom S. Wijaya; I Nyoman Sucipta
Jurnal BETA (Biosistem dan Teknik Pertanian) Vol 8 No 2 (2020): September
Publisher : Program Studi Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JBETA.2020.v08.i02.p23

Abstract

Terraced agricultural field with an area of less than 0.1 ha per plot is difficult to reach by large size and large capacity agricultural machines. A carry type rice harvester is an agricultural machine that can be used on small and terraced field. The aim of this research is to design a cutting and guiding unit of paddy harvesting machine that easy to use on small and terraced paddy field. The parameters observed are effective field capacity (EFC), effectiveness of cuttingunit, effectiveness of guiding unit, fuel consumption and harvesting losses. The cutting and guiding unit is running well, which is shown by the percentage effectiveness of cutting unit is 99% and effectiveness of guiding unit is 100%. The performance test results show the EFC harvesting of this machine is 0.05 ha / hour, fuel consumption of 1.2 l / hour, harvesting is 2.1%. This carry harvester can be used in terraced rice fields that cannot be reached by other bigharvesting machines.
Musik Gamelan Gong Kebyar dan Cahaya LED (Light Emitting Diode) Merah-Biru Meningkatkan Pertumbuhan dan Produktivitas Sawi Pakcoy (Brassica rapa L.) Gede Teguh Sigmarawan; I Made Anom S. Wijaya; I Putu Gede Budisanjaya
Jurnal BETA (Biosistem dan Teknik Pertanian) Vol 8 No 1 (2020): April
Publisher : Program Studi Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JBETA.2020.v08.i01.p01

Abstract

Growth and productivity of plants will occur if plants get light, carbon dioxide, water and nutrients that are sufficient for photosynthesis. In this study, pakcoy mustard was treated by combination of gong kebyar gamelan music and LED to determine its effect on the growth and productivity of pakcoy mustard, and determine the treatment that produced the best growth and productivity. The music is given for 3 hours starting at 09.00 - 12.00. LED light given for 20 hours starting at 06.00 - 02.00. The LEDs used include white, red-blue and red-white-blue. The variables observed include plant height, canopy area, leaves greenness, root length, wet weight and biomass of shoot and root. The result of the ANOVA analysis showed that the combination of gong kebyar gamelan music and white LED treatment had a negative effect, while the combination of gong kebyar gamelan music and red-blue, as well as red-white-blue LED treatment had a positive effect on the growth and productivity of pakcoy mustard. The combination of gong kebyar gamelan music and red-blue LED treatment produced the highest value on plant height (27.176 cm), canopy area (1457.59 cm2), greenness leaves (160.03), root length (23.6 cm), shoot and root wet weight (91.68 g and 5.26 g), and shoot and root biomass (4.63 g and 0.42 g). It can be concluded that the combination of gong kebyar gamelan music and red-blue LED treatment improved the growth and productivity of pakcoy mustard.
Hubungan Antara Persentase Serangan Hama Tikus dengan Produktivitas LahanMelalui Pendekatan Foto Udara Prihandoni Widodo; I Made Anom S. Wijaya; Putu Gede Budisanjaya
Jurnal BETA (Biosistem dan Teknik Pertanian) Vol 6 No 2 (2018): September
Publisher : Program Studi Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JBETA.2018.v06.i02.p05

Abstract

Rats are one of the pests that can harm farmers, as rodent attacks can reduce yields and even cause crop failure. This study aimed to determine the relationship between the percentage of rodent pest attacks and rice field productivity. The research stages included data collection, image processing analysis, regression analysis, validation, and accuracy calculation. Field data were obtained through aerial photography and harvest measurements. Image processing was conducted using Adobe Photoshop CS6 and MATLAB 2013, while regression analysis was performed in Microsoft Excel 2013 using linear, quadratic, and cubic polynomial regressions. The cubic polynomial regression provided the best fit, resulting in the equation: y = -1.10⁻⁶x³ + 0.0003x² - 0.0218x + 0.6159 with a coefficient of determination (R²) of 0.9645, indicating that 96.45% of the variation in rice productivity can be explained by the percentage of rodent attacks. The error value of the equation was 8.17% for attack versus productivity.
Co-Authors Gede Teguh Sigmarawan Gusti Bagus Eka Chandra I Nyoman Sucipta I Putu Gede Budisanjaya Ida Bagus Komang Edo Setiawan Prihandoni Widodo Putu Gede Budisanjaya Yohanes Setiyo