cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mohamad Maulana
Contact Email
maulana@litbang.pertanian.go.id
Phone
-
Journal Mail Official
red-ip@litbang.pertanian.go.id
Editorial Address
-
Location
,
INDONESIA
Informatika Pertanian
Published by Badan Penelitian dan Pengembangan Pertanian
ISSN : 08521743     EISSN : 25409875     DOI : -
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Computer Science & IT
Informatika Pertanian terbit 2 (dua) kali dalam setahun yaitu pada bulan Juni dan Desember, terbit sejak tahun 1991. Jurnal Informatika Pertanian telah terakreditasi oleh Direktorat Jenderal Penguatan Riset dan Pengembangan, kementerian Riset, Teknologi dan Pendidikan Tinggi Republik Indonesia dengan nomor Akreditasi No. 21/E/KPT/2018, Tanggal 9 Juli 2018. Jurnal Informatika Pertanian telah memiliki ISSN: 0852-1743, e-ISSN: 2540-9875. Jurnal Informatika Pertanian dikelola oleh Sekretariat Badan Penelitian dan Pengembangan Pertanian yang beralamat Jl. Ragunan No. 29 Jakarta Selatan, Jakarta, Indonesia 12540
Arjuna Subject : -
Articles 3 Documents
 1 
Search results for , issue " Vol 23, No 2 (2014): Desember 2014" : 3 Documents clear
PERAMALAN HARGA TERNAK SAPI BERDASARKAN INDEKS PERUBAHAN HARGA Rusdianto, Sasongko W
Informatika Pertanian Vol 23, No 2 (2014): Desember 2014
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1653.706 KB) | DOI: 10.21082/ip.v23n2.2014.p169-174

Abstract

Cattle prices in Nusa Tenggara Barat tend to change in short time. It is difficult for farmers to predict price in the future. Price changes could affect farmers income. Therefore we need a method by which farmers could predict the price in order to make production decision. The purpose of this study was to predict of price based on the average price level for one year. This study used secondary data of cattle prices monthly, patterns of changes measured by index, then performed statistical analysis. The results of this study shows that the forecasting method used is only relevant to the pattern of price changes with a relatively similar pattern in a specified period. Price changes caused by external factors will have different pattern and causes greater deviation, so it can not be used to predict the price of cattles in NTB.
PENGGUNAAN MODEL HIDROLOGI DI SUB DAS CILIWUNG HULU Yustika, Rahmah Dewi
Informatika Pertanian Vol 23, No 2 (2014): Desember 2014
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1969.117 KB) | DOI: 10.21082/ip.v23n2.2014.p197-204

Abstract

A watershed has complex hydrological components and may be difficult to understand comprehensively. Modelling can be used to simplify and predict the processes which will happen. SWAT (Soil and Water Assessment Tool) is a model which can predict hydrology and simulate various processes in watershed.The objective of this research was: to analyse performance of SWAT model which predict discharge flow in upper Ciliwung watershed through calibration. Methods applied included analysis of the input data and calibration. The research was conducted in the period of June 2011 until June 2012. Based on the data of daily discharge flow in February and March 2008 and 2009, the calibration results showed values of R 0,80 and NSE 0,55. These results described that SWAT model can be used to predict hydrological processes in upper Ciliwung watershed.Prediction of hydrology could be used as the base to manage land agriculture towards sustainable agriculture.
ANALISIS EFISIENSI TEKNIS, EFISIENSI EKONOMIS DAN DAYA SAING PADA USAHATANI BAWANG MERAH DI KABUPATEN NGANJUK-JAWA TIMUR: SUATU PENDEKATAN EKONOMETRIK DAN PAM Waryanto, Budi
Informatika Pertanian Vol 23, No 2 (2014): Desember 2014
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1926.598 KB) | DOI: 10.21082/ip.v23n2.2014.p147-158

Abstract

Shallot is an important vegetable commodity for most Indonesian people. Shallots production is not yet able to supply the domestic consumption, and some is still met through imports. The challenge to produce shallots will be more complex, such as: the desire of consumers to high-quality products and environmentally friendly, as well as competition with similar products in the era of free trade. Based on these reasons, research has been done and the purpose of this study was to analyze the factors affecting shallots production, measuring the level of technical efficiency and economical efficiency. The study was conducted in Nganjuk District by taking 179 respondents from four sub districts. Interviews were conducted in October and November 2013, planting shallots April unti August 2013. Methods of analysis using the stochastic frontier production function to look at the effect of inputs on shallots production, followed by the analysis of technical efficiency (TE), allocative efficiency (AE) and economical efficiency (EE), and the final analysis of competitiveness using the Policy Analysis Matrix (PAM). The independent variable inputs consist of land (X1), seeds (X2), NPK fertilizer (X3), organic fertilizer (X4), labor (X5) and pesticides (X6). The analysis showed all independent variables significantly affected shallots production, where the value of the elasticity of the independent variable X2 is the highest, amounting to 0.2822. The analysis also obtained an average value of TE is equal to 0.808 means farmers are efficient, although there are farmers who are still not efficient. Although TE has been achieved, but is economically inefficient, because the average value of EE only 0.509. From PAM results it can be seen that farming shallots in this study has a competitive advantage but do not yet have a comparative advantage.

Page 1 of 1 | Total Record : 3

 1 

Filter by Year

2014 2014


Reset
Filter By Issues
All Issue Vol 30, No 2 (2021): Desember 2021 Vol 30, No 1 (2021): Juni 2021 Vol 29, No 2 (2020): DESEMBER Vol 29, No 1 (2020): Juni Vol 28, No 2 (2019): DESEMBER 2019 Vol 28, No 1 (2019): Juni 2019 Vol 27, No 2 (2018): Desember 2018 Vol 27, No 1 (2018): Juni 2018 Vol 27, No 1 (2018): Juni 2018 Vol 26, No 2 (2017): Jurnal Informatika Pertanian Vol 26, No 2 (2017): Jurnal Informatika Pertanian Vol 26, No 1 (2017): Jurnal Informatika Pertanian Vol 26, No 1 (2017): Jurnal Informatika Pertanian Vol 25, No 2 (2016): Desember 2016 Vol 25, No 1 (2016): JUNI 2016 Vol 25, No 1 (2016): JUNI 2016 Vol 24, No 2 (2015): Desember 2015 Vol 24, No 2 (2015): Desember 2015 Vol 24, No 1 (2015): Juni 2015 Vol 24, No 1 (2015): Juni 2015 Vol 23, No 2 (2014): Desember 2014 Vol 23, No 2 (2014): Desember 2014 Vol 23, No 1 (2014): JULI, 2014 Vol 23, No 1 (2014): JULI, 2014 Vol 22, No 2 (2013): DESEMBER, 2013 Vol 22, No 2 (2013): DESEMBER, 2013 Vol 22, No 1 (2013): JULI, 2013 Vol 22, No 1 (2013): JULI, 2013 Vol 21, No 2 (2012): Desember 2012 Vol 21, No 2 (2012): Desember 2012 Vol 21, No 1 (2012): JULI, 2012 Vol 21, No 1 (2012): JULI, 2012 More Issue