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Informatika Pertanian

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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

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Articles 13 Documents

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Search results for , issue "Vol 24, No 2 (2015): Desember 2015" : 13 Documents clear

Causal Correlation Between Technology Level, Institutional Support, and Agricultural Extension Role Againts for the Adoption Level of Livestock-Crop Integration -, Priyono
Informatika Pertanian Vol 24, No 2 (2015): Desember 2015
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Efforts to increase the amount of livestock-crop integration adopter needs agricultural extension support and powerful institutional support through technology transfer to farmers. This research was aimed to determine causal correlation between technology level, institutional support and agricultural extensionâ€™s role against the adoption level of livestock-crop integration. This research was conducted from 15th February - 31th March 2013 in Sadangkulon, Kebumen Regency. The used method in this study was structured survey method. Respondents were taken as much as 31 people using sample random sampling, as much as 50% from each farmer group. Variables which measured in this study were integration technology level, agricultural extension role, and adoption level of livestock-crop integration. Data were analyzed using path analysis to estimate the coefficient of linear structural equation which has a causal correlation by SPSS tools. The research result showed that the contribution of exogenous variables (technology level, institutional support, and agricultural extension role) simultaneously affecting the adoption level of livestock-crop integration of 72,5% (P < 0,05). Partially, the adoption level of livestock-crop integration was directly affected by the mastery level of technology (16,4%), institutional support (4,7%), and agricultural extension role (13,4%). Based correlation analysis showed that the correlation between exogenous variable have a positive and significant correlation (r12 = 0,580; r13 = 0,703; and r23 = 0,427). Based on the research result, that mastery level of technology, institutional support, and agricultural extension role had a causal correlation against the adoption level of livestock-crop integration.

Environmental Efficiency Analysis with one Detrimental Input Variable through A Stochastic Frontier Analysis Approach (A Case Study of Shallot Farming System) Waryanto, Budi -
Informatika Pertanian Vol 24, No 2 (2015): Desember 2015
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Sustainable agriculture having high complexity, especially related to the choice of using inputs that could potentially harm the environment or often called a detrimental input. In order to realize sustainable agriculture, the level of efficiency of the use of these inputs must be able to measure, especially from the aspect of environmental efficiency. The objective of this research in to analyze the environmental efficiency (EEnv) with a detrimental input variable namely the Nitrogen surplus in shallot farming through approach Stochastic Frontier Analysis (SFA). At the initial stage has been built translog stochastic frontier regression model consisting of the response variable namely the production of onion, five independent variables, namely land, seed, Phospor fertilizer, Kalium fertilizer, labor and pesticides, as well as one independent variable is a surplus of nitrogen as a detrimental input. Stochastic frontier translog regression models were built to explain some of the interactions between several independent variables affect the production of shallot. Some interactions are significant, namely seeds and pesticides, fertilizer P with a surplus of nitrogen, and the interaction between K fertilizer with nitrogen surplus. From the regression model can also be calculated value of elasticity, where the elasticity of independent variables namely seed is the highest, equal to 0.1687. Furthermore stochastic frontier translog model can be calculated value EEnv, the results show the value of EEnv still low at only at 0.2765. This may imply inefficient shallot farmers from the aspects of the environment, especially if associated with the use of nitrogen fertilizer. Although technically shallot farmers have achieved a level of technical efficiency (ET), which is indicated on the ET value of 0.9475.

The Error Performances of Some Residual Optimization Methods -, Setyono -
Informatika Pertanian Vol 24, No 2 (2015): Desember 2015
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

A good statistic is unbiased and efficient. Because the encountered data in practice is a sample data with a certain size, the required statistic is not unbiased statistic, but statistic that has small error. When the encountered data is only a sample data, then that can be done is not error optimization but is residual optimization. This study aims to examine the error performance of three methods of residual optimization, they are by minimizing the maximum of absolute residual (MLAD), by minimizing the sum of absolute residual (LAD), and by minimizing the sum of squared residual (LS). Research results using simulation experiments showed that if the data have uniform distribution, the residual optimization method by minimizing maximum of absolute residual get the smallest error. Meanwhile, residual optimization method by minimizing the sum of squared residual get the smallest error when the data have normal or exponential distribution. This property is true when statistics to be estimated are measure of central tendency, regression coefficients, and the response of regression.

Effects of Interaction between New Rice Varieties and Plant Spacing to Productivity of Rice -, Ikhwani -
Informatika Pertanian Vol 24, No 2 (2015): Desember 2015
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

The most effective method to increase rice productivity in one location is to adapt the best combination between the high yielding rice variety and the optimum plant spacing. The objectives of this experiment to observe plant growth characteristic of each high yielding rice variety under each plant spacing to increase rice productivity. Field experiment was conducted at Toroh Regency, Grobogan District, Central Java during 2014 dry season. Treatments were arranged according to a split plot design, with three replications. The main plots (Plant spacings), namely T1- Equal spacing/Tegel 25 cm x 25 cm; T2- Legowo 2:1 (25---50) cm x 12,5 cm; T3- legowo 4:1 empty (25 â€“ 50) cm x 12,5 cm dan T4- legowo 4:1 full (25 â€“ 50) cm x 12,5 cm. The sub plots (variety): Ciherang, Inpari 10, Inpari 15 and Inpari 16.The yields of the rice varieties in this experiment are highly significantly different. It was found one introduced variety produced higher yield than Ciherang, namely Inpari 16 (5.93 + 0.43 ton 14% dry grain/ha). The two other introduced varieties (Inpari 10 and Inpari 15), produced 5.03 + 0.19 and 5.00 + 0.22 ton 14% dry grain/ha, the same or slightly lower than Ciherang. The highest yield occurred when Inpari 16 planted using Legowo 4 : 1 empty, namely 6.57 ton 14% dry grain/ha, consistently produces higher yield than the other varieties do at each plant spacing treatment. Rice yields of Ciherang were relatively more stable under different plant spacings compared with the other varieties. Inpari 10 at harvest stage having 19 tillers per hill under equal spacing 25 cm x 25 cm, decreased to 12 tillers per hill under Legowo 4 : 1 full. Ciherang with the medium size of grains have 1000 grain weight of 23.9 gram, and Inpari 10 25.3 gram. Based on the results of this experiment it is concluded that Inpari 16 planted under Jajar Legowo 4 : 1 empty (25 â€“ 50) cm x 12.5 cm is the best. However, it is suggested to be evaluated acceptability by the local farmers.

Application of Rainfall Prediction Model on Two Rice Production Centers, in West Java Apriana, Yayan -
Informatika Pertanian Vol 24, No 2 (2015): Desember 2015
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

The primary objective of this study was to develop rainfall prediction model using artificial neural network analysistechniques, the second objective was to apply the prediction model in rice production centers, and the third objectivewas to compare the model predictions in rice production centers. Research is a desk study with case study in Indramayuand Cianjur districts, West Java. The primary step of this study was collection of rainfall data and map information andClimatology of Rainfall Stations in each district using a combination of input SST Anomaly Nino3.4 and DMI, usingdata from 1990 to 2010, the second step was preparation of rainfall prediction models using network analysis techniquesnerve propagation, the third step was validation the model by comparing the output that has been formed with the actualrainfall data, and the fourth step was comparing rainfall prediction with the results of global climate predictions. Theresults showed that formulation and Validation of the model using input anomalies in the sea surface temperature Nino3.4and DMI applied in Indramayu district was able to follow the actual value of the variability of rainfall, especially duringthe dry season, while in Cianjur district the model was less able to describe it well. The resulting model for Cianjurdistrict validation was low value so it is advisable not to use the model for prediction.

Application of Partial Least Square to Assess the Impact of Collaboration Networks on Innovation from MSEsâ€™ Soybean Processing Nurwullan, Elya -
Informatika Pertanian Vol 24, No 2 (2015): Desember 2015
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Structural Equation Model (SEM) alternative method Partial Least Square (PLS) is an analysis tools are usually used to develop a causality model of linear-predictive relation between a collaboration network as the latent exogenous variables (Xi), and the innovation and performance as the latent endogenous variables (Yi ) which has non-parametric with theoretically less supported. This paper aims to discuss the use of PLS on the indirect effects of on the performance of SMEs collaboration networks to soybean processing MSEsâ€™ performance mediated by the level of innovation. This survey is an empirical study conducted in several clusters processing industry center and tofu in 4 regions namely Sumedang District, Tegal regency, West Jakarta and South Jakarta. Selection of research using purposive sampling location is the tofu and tempeh clustered. Based on the analysis, obtained a description that use the PLS on the effect on the performance of SMEs cooperation networks soybean processing mediated by the level of innovation demonstrated relatively good results. Therefore, the application of the model could be widely applied to the various innovation adopting process, especially on the collaboration with external parties in the food and agriculture based industry.

Study of Prediction Simulation Life Storage to Determine the Quality of Mangosteen (Garcinia mangostana L.) Sihombing, Yennita -
Informatika Pertanian Vol 24, No 2 (2015): Desember 2015
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Demand for mangosteen fruits (Garciana mangostana L) is currently increasing both for local and export markets. Quality of mangosteen fruit has been kept until now, even increased by efforts of post-harvest handling. The problem on postharvest of mangosteen is mainly on storage process. The quality of mangosteen is affected by the temperature condition during storage period. Waxing is usually used for fruits to extend their shelf life. In this study, combination of waxing and low temperature storage were studied to obtain the optimum storage condition for mangosteen. The objectives of this study were to determine the effect of combination of waxing and low temperature storage on the quality changes of mangosteen. It was shown that storage of mangosteen with waxing treatment of 5% and temperature storage of 8oC resulted the longest period of storage, i.e., 39 days. At this condition, the firmness was 2.00 kgf, total soluble solid was 16.10oBrix, and respiration rate of CO2 was 1.67ml/kg hr. In this study, prediction of storage life of mangosteen was carried out based on the firmness which accepted by panelist from organoleptic test. It is shown that waxing concentration 0% and temperature storage 8oC effectiveness to storage life until 16 days.

Performance of Rice Tungro Resistant Promising Line in Endemic Area Muliadi, Ahmad -
Informatika Pertanian Vol 24, No 2 (2015): Desember 2015
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Tungro disease is one of the important diseases of rice because it has a high potential for causing damage. The use of varieties resistant to the tungro disease effectively prevent an explosion tungro disease. Testing of promising lines resistant to the tungro at several locations is a stage in the breeding program before a line is released as a new variety that has resistance to tungro disease, as well as having the potential for high yields and good adaptation at several locations. Six of tungro resistant promising line (OBSTG02-137, OBSTG02-124, OBSTG02154, OBSTG02-130, OBSTG02-56, dan OBSTG02-37) and four check varieties (Inpari 9 Elo, Tukad Unda, Ciherang, and IR64) were evaluated for their yield potential and adaptability at 16 locations in tungro endemic area during the dry season of 2011-2013. The experiment was arranged in a randomized block design with 3 replications. Each line were transplanted in 4 m x 5 m plot size with plant spacing 25 cm x 25 cm. Observation were made on yield, 50% flowering date, plant heights, panicle number per hill, number filled and unfilled spikelets per panicle, and weigh of 1000 grains in gram. The results showed that effect of genotype x location interaction was significantly different for all component observed. Based on the performance of grain yield and yield components obtained, four lines i.e. OBSTG02-137 (6.74 t/ha), OBSTG02-124 (6.20 t/ha), OBSTG02-154 (6.37 t/ha ), and OBSTG02-130 (5,92 t/ha) has a high yield with the support of filled grain number and weight of 1000 seeds is high. Based on the combined value of bi and the general average of yield, then line OBSTG02-137, OBSTG02-154, and OBSTG02-130 were suitable to adapt to all environments, OBSTG02-124 is adapted in an optimal environment, OBSTG02-56 and OBSTG02-37 were adapted to the less productive environment.

Statistical Downscaling to Predict Monthly Rainfall Using Generalized Linear Model with Gamma Distribution Soleh, Agus M
Informatika Pertanian Vol 24, No 2 (2015): Desember 2015
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Statistical Downscaling (SDS) models might involve ill-conditioned covariates (large dimension and high correlation/multicollinear). This problem could be solved by a variable selection technique using L1 regularization/LASSO or a dimension reduction approach using principal component analysis (PCA). In this paper, both methods were applied to generalized linear modeling with gamma distribution and compared to predict rainfall models at 11 rain posts in Indramayu. More over, generalized linear model with gamma distribution was used to obtain non-negative rainfall prediction and compared with principal component regression (PCR). Two types of ill-conditioned data with different characteristics (CMIP5 and GPCP version 2.2) were used as covariates in SDS modeling. The results show that three methods (PCR, Gamma-PC, and Gamma-L1) did not demonstrate significant difference in term of Root Mean Square Error (RMSE) after addition of dummy variables (month) in the models. However, a generalized linear modeling with gamma distribution could be considered as the best methods since it provided non-negative rainfall predictions.

An Application of the Shift Share Analysis for Transformation of the Agricultural Sector in Economic Areas at South East Sulawesi Abidin, Zainal -
Informatika Pertanian Vol 24, No 2 (2015): Desember 2015
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Agriculture sector is still dominan in Product Domestic Regional Bruto (PDRB) at South East Sulawesi Province. Shift share Analysis is one of analysis tools that can be used to analyze shift and share of overall of sectors of PDRB. The research was conduted to identify shifting overall sectors of PDRB of South East Sulawesi with shift-share analysis. The research used GDP of Indonesia, PDRB of South East Sulawesi and PDRB of cities/regenceis in South East Sulawesi 2003 and 2013 year base on constant price at year 2000. The result of research showed that application of shift share analysis can give overview about agriculture transformation in South East Sulawesi. Developing agricultural sector in South East Sulawesi depends on national development. The growth of agricultural sector in South East Sulawesi is classified as slow, and have Net Shift (NS) around IDR 144.868,720 million. Agricultural sector also has competitive advantage, specialization and also allocation effect. Shift share analysis also showed that agricultural sector has strong linkage with other sectors and has positif influence with other sectors to push regional output. This analysis needs to be applicated at micro levels to get agricultural commodities transformation that has competitive advantage and specialized to develop for increasing regional output in South East Sulawesi.

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Mohamad Maulana

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