Informatika Pertanian
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Environmental Efficiency Analysis with one Detrimental Input Variable through A Stochastic Frontier Analysis Approach (A Case Study of Shallot Farming System)
Full text linkSustainable 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
ANALISIS KEBIJAKAN PENGEMBANGAN INDUSTRI HILIR KAKAO (SUATU PENDEKATAN SISTEM DINAMIS)
Full text linkINDONESIAPengembangan industri hilir seharusnya dapat menjadi motor penggerak sistem agribisnis kakao yang lebih berdaya saing baik nasional maupun internasional, namun produksi kakao olahan Indonesia masih sangat rendah dan industri pengolahan kakao tidak berkembang. Penelitian ini bertujuan untuk merumuskan alternatif kebijakan yang dapat diterapkan oleh pemerintah untuk pengembangan industri hilir kakao dan peningkatan penerimaan petani. Data yang digunakan dalam penelitian ini adalah data sekunder dan dianalisis dengan pendekatan sistem dinamis. Hasil validasi terhadap model sistem dinamis pada kondisi aktual diperoleh nilai RMSPE, AME dan AVE untuk produksi biji kakao sebesar 3,69 persen, 2,17 persen dan 4,44 persen dan untuk variabel produksi kakao olahan adalah sebesar 0,51 persen, 0,30 persen dan 0,59 persen sehingga model dinyatakan valid. Sedangkan hasil analisis menunjukkan skenario 6 mampu mendorong perkembangan sistem agroindustri kakao secara keseluruhan lebih baik dibandingkan dengan skenario lainnya. Untuk itu, alternatif kebijakan yang sebaiknya diterapkan oleh pemerintah dalam upaya pengembangan industri hilir kakao adalah: (i) tetap melaksanakan program Gernas kakao; (ii) peningkatan produktivitas dan mutu kakao perkebunan rakyat yang tidak terlibat dalam program Gernas kakao; (iii) penghapusan bea ekspor kakao, namun pemerintah memberikan insentif fiskal dan moneter seperti pengurangan pajak dan subsidi suku bunga pinjaman serta perbaikan iklim usaha seperti perbaikan infrastruktur, kemudahan perizinan dan lain-lain sehingga mampu mendorong pertumbuhan industri pengolahan kakao.INGGRI
Application of Rainfall Prediction Model on Two Rice Production Centers, in West Java
Full text linkThe 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
PEMANFAATAN MODEL PROYEKSI IKLIM DAN SIMULASI TANAMAN DALAM PENGUATAN ADAPTASI SISTEM PERTANIAN PADI TERHADAP PENURUNAN PRODUKTIVITAS AKIBAT PERUBAHAN IKLIM: STUDI KASUS DI KABUPATEN SUMEDANG, JAWA BARAT
Full text linkDespite the well-documented model-simulated adverse climate change impact on rice yields reported elsewhere, interventions to address the issue seem to be still limited, particularly at local level. This links to the uncertainty that entails to climate projection and its likely future impact, which varies across regions and climate models. The study analyzes climate change-induced rice yield reduction and the adequacy of current adaptations, to cope with a large range of impact under various climate models. Seventeen General Circulation Models (GCMs) under Representative Concentration Pathways (RCPs) climate change with scenarios of RCP8.5 and RCP4.5, combined with CROPWAT model for near-future (2011-2040) and far-future (2041-2070) projections. The study was conducted in November-December 2013, in Ujungjaya Subdistrict, the District of Sumedang. The output confirms yield reduction to occur in the near-future, to the extent variable across the GCMs. At the highest estimation, rice yield decreases by 32.00% and 31.81%, in comparison to baseline, for near-future under RCP8.5 and RCP4.5, respectively. The reduction extends, with a slightly higher degree, to the far-future. The reduction is sensitive to variation in farming practices of the local farmers, in particular that in planting time and irrigation scheduling. The shifting of planting time to better match rainfall pattern reduces the rice yield by 12.95% for rainfed and 14.07% for the irrigated farming. Meanwhile, improved irrigation scheduling reduces the yield reduction by 16.16%. The findings provide valuable inputs for relevant authorities to understand the climate change-induced rice yield reduction, and to formalate intervention strategies for spesific-location adaptation
TINGKAT KEPUASAN AUDITI INSPEKTORAT JENDERAL KEMENTERIAN PERTANIAN
Full text linkLevel of Auditee Satisfaction is important for the Inspectorate General of the Ministry of Agriculture, in order to identify the weakness of each dimension in delivering internal controlling activity and to determine the performance of internal controlling system in the Ministry of Agriculture. The objectives of this study are to analyze auditee satisfaction of internal control held by Inspectorate, to determine factors influencing auditee satisfaction, and to formulate strategies in increasing auditee satisfaction. Service Quality model was used to measure the perception of vertical institution under the authority of the Ministry of Agriculture on services received from Inspectorate. There were five dimensions that were measured, i.e tangibility, reliability, assurance, responsiveness, and empathy. Data were collected from 193 respondents. The study used Structural Equation Modelling (SEM) and software LISREL for data processing. The result reflected that all variables were significantly correlated to each dimension of Service Quality instrument and significantly influenced auditee satisfaction. Satisfactions were measured through overall satisfaction, the function of internal control related with non audit activity and the quality of audit report. Tangibility was the most significant factor influencing auditee satisfaction
MODEL PENINGKATAN KAPASITAS PENYULUH DALAM PEMANFAATAN INFORMASI IKLIM DI KABUPATEN INDRAMAYU DENGAN PENDEKATAN ANALISIS KEBERLANJUTAN
Full text linkCapacity of extension agents in understanding climate forecasting and climate change is allegedly limited. Therefore, it is necessary to improve their capacity on this issue. Research was conducted between May to December 2014. Indramayu in West Java was choosen purposively, representing irrigated-land agroecosystem. Respondents were extension agents selected from Agricultural Extension of Fisheries and Forestry Services (BP3K) or Agricultural Extension Services (BPP)with their working area being considered high vulnerability to climate change. Total respondents were 59 extension agents randomly selected. There were three phases of dynamic hypothesis resulting in : 1) problem identification, 2) ideal capacity determination; and 3) model design. Methods of data collection were survey, interview, and focus group discussion (FGD). A RAP-FISH ordination technique through Multi Dimensional Scaling (MDS) was used to assess the existing extension capacity and identify sensitive attributes influencing the ability of the extension agents in the use of climate information through analysis of leverage in each variable. Results showed that accessibility to resources, information management and election of extension dimension methods were the dimensions to be considered for improving the extension agents capacity building in climate utilization. Therefore, a structural approach should be done through increased synergy between institutions involved in capacity building of extension agents and its resources. Moreover, synergy amongst sources of information should be conducted to encourage the roles of BP4K and BP3K in managing climate information. While the functional approach is done through re-designing capacity development activities on utilizing climate information, with the focus on improving the accessibility, information management, and selection of extension methods
BAYESIAN CLUSTERING OF INDONESIAN RICE GERMPLASM
Full text linkModel-based clustering where the inference on the parameters follow the Bayesian principle has been used to cluster 467 accessions of Indonesian rice germplasm which consist of released varieties, landraces, introduction lines, improved lines and wild species. A model-based Bayesian cluster analysis of genotype data can be used to evaluate the genetic backgrounds of rice populations of interest. Such analyses can be used to infer population structure, assign individuals to sub populations, and to study hybrid populations. Thus, the goal of this research was to examine the genotype data of numerous accession of rice germplasm using the model bayesian cluster analysis. The 1536 SNP-chip design was performed for genome scanning of the accession using the high throughput genotyping platform, the data of which were used for clustering. The result indicated that the germplasm can be clustered into five cluster based on similarities on genetic profile, i.e. similarities in gene frequencies across genome among individuals. Each cluster can be identified by reference lines, i.e. the lines or varieties that their genetic profile uniquely belong to one cluster and do not have or very rare introgression from lines or varieties of other clusters. Many introgressions have been identified among lines in all clusters which indicated that most of Indonesia rice germplasm, including local and introduced varieties were the results of crosses that occurred either in naturally fixation or breeding program activities that crossed one line/varieties to the others. There is also cluster in which no reference line and almost all lines/varieties in that cluster are known to have same common specific phenotype, e.g. aromatic
ANALISIS RAGAM GABUNGAN LINTAS LOKASI PEMUPUKAN PADI SAWAH DI KABUPATEN GOWA SULAWESI SELATAN
Full text linkThe combined analysis of variance is a method to analyze the interaction between treatments and the environments, conducted in farmers' fields. The combined analysis of variance across locations based on the assessment data of organic and inorganic fertilizer is with the model Yijk = u + Li + δik + Tj + ( LT ) ij + εijk conducted in Gowa from April to August 2012. The combined analysis can be applied as a test method of fertilization on farmers land that have different characteristics as to accommodate the influence of the land, treatments, and their interactions. The use of combined analysis of variance reveals the real effect of a single factor of fertilization, land factors, and their interaction, to several yield components, but to the component of growth there was no interaction between the two. It can be seen that the combined application of organic manures with inorganic fertilizers can increase rice production. Interaction between land 1 ( L1 ) with organic fertilizer of 5 t / ha + 200 kg Urea/ha + 300 kg NPK / ha ( T4 ) gave the highest paddy production (8,23 t / ha)
SIMULASI MANAJEMEN LAHAN DI DAS CILIWUNG HULU MENGGUNAKAN MODEL SWAT
Full text linkINDONESIA Pengelolaan DAS merupakan masalah serius karena luas lahan kritis meningkat yang diakibatkan oleh pengelolaan lahan yang tidak sesuai dengan kesesuaian dan kemampuannya dan tidak disertai dengan usaha konservasi tanah dan air, serta perubahan pola penggunaan lahan bervegetasi. Pengukuran lapang parameter yang berpengaruh terhadap hidrologi suatu DAS tidak mudah dilakukan karena karakteristik yang bersifat kompleks dan komprehensif. SWAT (Soil and Water Assessment Tool) merupakan suatu model yang dapat membantu dalam memperkirakan kondisi hidrologi berbasis proses fisik (physical based model). Penelitian ini bertujuan untuk untuk mengetahui nilai validasi aplikasi model SWAT di sub DAS Ciliwung Hulu dan menentukan Pengelolaan Lahan Terbaik (PLT) pada lahan pertanian di sub DAS Ciliwung Hulu. Metode yang digunakan meliputi pengumpulan data, pengolahan data input, penggunaan model SWAT, kalibrasi, validasi dan simulasi Pengelolaan Lahan Terbaik (PLT). Penelitian dilaksanakan dari bulan Juni 2011 sampai dengan Juni 2012. Validasi debit harian bulan Februari dan Maret tahun 2009 dan 2011 menunjukkan R 0,88 dan NSE 0,74. Nilai kalibrasi ini menunjukkan bahwa model SWAT dapat digunakan untuk memprediksi kondisi hidrologi pada sub DAS Ciliwung Hulu. Aplikasi teras bangku, penanaman menurut kontur, penanaman menurut strip dan agroforestri dapat menurunkan aliran permukaan. Teras bangku terbukti paling efektif menurunkan aliran permukaan hingga 79,21%.INGGRI