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Monthly Archives: February 2013

Tahun 2012, Dua paper Dr. I Wayan Nuarsa diterbitkan di Jurnal Internasional, Inggris dan Kanada

Using variance analysis of multitemporal MODIS images for rice field mapping in Bali Province, Indonesia

I Wayan Nuarsa, Fumihiko Nishio, Chiharu Hongo, and I Gede Mahardika. International Journal of Remote Sensing, UK. Volume 33, Issue 17, 2012.

Abstract

Existing methods for rice field classification have some limitations due to the large variety of land covers attributed to rice fields. This study used temporal variance analysis of daily Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images to discriminate rice fields from other land uses. The classification result was then compared with the reference data. Regression analysis showed that regency and district comparisons produced coefficients of determination (R 2) of 0.97490 and 0.92298, whereas the root mean square errors (RMSEs) were 1570.70 and 551.36 ha, respectively. The overall accuracy of the method in this study was 87.91%, with commission and omission errors of 35.45% and 17.68%, respectively. Kappa analysis showed strong agreement between the results of the analysis of the MODIS data using the method developed in this study and the reference data, with a kappa coefficient value of 0.8371. The results of this study indicated that the algorithm for variance analysis of multitemporal MODIS images could potentially be applied for rice field mapping.  Online Access.

 

Rice Yield Estimation Using Landsat ETM+ Data and Field Observation

I Wayan Nuarsa, Fumihiko Nishio, and Chiharu Hongo. Journal of Agricultural Science, Canada. Volume 4, No 3, 2012.

 Abstract

Forecasting rice yield before harvest time is important to supporting planners and decision makers to predict the amount of rice that should be imported or exported and to enable governments to put in place strategic contingency plans for the redistribution of food during times of famine. This study used the Normalized Difference Vegetation Index (NDVI) of Landsat Enhanced Thematic Mapper plus (ETM+) images of rice plants to estimate rice yield based on field observation. The result showed that the rice yield could be estimated using the exponential equation of y = 0.3419e4.1587x, where y and x are rice yield and NDVI, respectively. The R2 and SE of the estimation were 0.852 and 0.077 ton/ha, respectively. An accuracy assessment of rice yield estimation using Landsat images was performed by comparing the rice yields from the estimation result and the reference data. The results show that the linear relationship with the R2 and SE of the estimation were 0.9262 and 0.21 ton/ha, respectively. The R2 is greater than or equal to 0.8, which demonstrates a strong agreement between the remotely sensed estimation and the reference data. Thus, the Landsat ETM+ has good potential for application to rice yield estimation.  Online Access.

Kegiatan Tri Dharma Perguruan Tinggi Dr. I Wayan Budiasa, SP, MP 2011-2012

1.  Studi Kelayakan Pendirian Pabrik Kelapa Sawit di Kepulauan Riau

Atas nama pribadi bekerjasama dengan PACIFIC CREST MANAGEMENT, STC Building 4th Floor Unit 104, Jl. Asia-Afrika No 1 Jakarta 10270, INDONESIA. Pada Tahun 2011 melaksanakan “Studi Kelayakan Pendirian Pabrik Kelapa Sawit di Kepulauan Riau”

 

 2.  SIMANTRI untuk Pertanian Berkelanjutan

PENGEMBANGAN DAN OPTIMASI TEKNOLOGI PRODUKSI PANGAN SISTEM USAHATANI TERINTEGRASI (SIMANTRI) UNTUK PERTANIAN BERKELANJUTAN:
PENDEKATAN LINEAR PROGRAMMING

(Development and Optimization of Food Production Technology of Integrated Farming System for Sustainable Agriculture:  Linear Programming Approach)

I WAYAN BUDIASA1, IGAA AMBARAWATI1, I MADE MEGA2,  I KETUT MANGKU BUDIASA3

1 Prodi Agribisnis Fakultas Pertanian Universitas Udayana
Email: wba_sosek_unud@yahoo.com
2 Prodi Agroekoteknologi Fakultas Pertanian Universitas Udayana
3 Prodi Peternakan Fakultas Peternakan Universitas Udayana
Jl. P.B. Sudirman, Denpasar 80232

ABSTRACT

This study aims to find out the optimal model of integrated farming system (SIMANTRI) development in farmers’ group of SIMANTRI 068 (Buleleng), SIMANTRI 074 (Jemberana), and SIMANTRI 084 (Tabanan). Primary data by using survey method collected from each its group of farmers and secondary data gathered from any sources were used to specify parameters of the model. Linear programming analysis by using software BLPX88 is to solve constrained optimization problem in the model. A small farmer, which his farm size are 0.58 hectare in SIMANTRI 068, 0.48 hectare in SIMANTRI 074, and 0.57 hectare in SIMANTRI 084 were optimal in allocating resources to conduct many farm activities under the SIMANTRI indicated from optimal solution of the model which conforms to observed behavior. The maximum farmers’ income, generated from the optimizing process were Rp21,658,160; Rp26,041,250; and Rp39,323,600 per annum for SIMANTRI 068, SIMANTRI 074 and SIMANTRI 084, respectively.  Each SIMANTRI is potentially sustainable if it can fulfill the sustainability criteria of farming system.

  Key words: optimization, integrated farming system, linear programming

Ketua peneliti untuk Hibah Penelitian Strategis Nasional
dari Direktur Penelitian dan Pengabdian kepada Masyarakat,
Ditjen Dikti, Kemdiknas Tahun I sebesar Rp90.000.000,00
bersumber dari DIPA Dikti Nomor: 0541/023-04.1.01/00/2012
Tanggal 9 Desember 2011

 

 

3.  Penerbitan Buku Pertanian Berkelanjutan: TEORI DAN PEMODELAN

Lampiran Keputusan Kuasa Pengguna Anggaran Direktorat Penelitian dan Pengabdian kepada Masyarakat, Direktorat Jenderal Pendidikan Tinggi, Kementerian Pendidikan dan Kebudayaan

Nomor : 3293 /E5.4/HP/2012
Tanggal : 17 September 2012
Tentang : Daftar Penerima Insentif Buku Ajar Tahun 2012

Dr. I Wayan Budiasa, SP, MP  Staf Fakultas Pertanian Universitas Udayana tercatat sebagai salah satu penerima insentif Buku Ajar tahun 2012 senilai nominal Rp17.000.000, dengan judul buku “Pertanian Berkelanjutan: TEORI DAN PEMODELAN”

4.  Designing Local Frameworks for Integrated Water Resource Management

Dr. I Wayan Budiasa, sejak 6 Januari 2012 s/d 31 Maret 2016 menjadi tim dalam “Research Project on Designing Local Frameworks for Integrated Water Resource Management“ kerjasama antara The Research Institute for Humanity and Nature (RIHN) Japan dan Bogor Agricultural University (IPB) Republic of Indonesia.