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ANALISIS SPASIAL DALAM KLASIFIKASI LAHAN KRITIS DI KAWASAN SUB-DAS LANGGE GORONTALO
Full text linkWatershed (DAS) is a complex ecosystem, where land quality is largely determined by land use activities. This illustrates the importance of analytical procedure, especially where the context in which the spatial pattern of land use in the future can be designed based on the risk of degradation in large areas. Data and information are necessary to be used as reference in designing a planning scheme related to land use. Geographic Information Systems (GIS) is a system that has the ability to analyze problems and their spatial and non-spatial combinations (queries) in order to provide solutions to spatial problems. Sustainable farming is an integral part of sustainable development, a farming system which preserves water resources, land resources, and plant resources in acceptable and suitable ways economically, socially, and environmentally. The research aimed to identify and classify critical land by spatial analysis. Based on identification of land, there were 12 individual units in the study area. Based on the spatial analysis, critical land classification was divided into not critical area of 1,818 ha (28.7.%), Potentially Critical 2,596 ha (41.06%), Moderately critical 1,631 ha (25.08%), Critical 226 ha (3.57 %). Most of the land in sub-basin Langge was a hilly area of 1180.6 ha (63.8%) with a slope of 12-25%; 25-40% and above 40%. Alternative farm management in this area was a conservation farm by mechanical conservation techniques (terraces) or vegetative with cultivation techniques hallway, living fences, grass strips and agroforestry
APLIKASI METODE TREN WAKTU SATU RAGAM DALAM PERAMALAN TOLERANSI KOMODITAS PANGAN TERHADAP PERUBAHAN IKLIM DI PAPUA
Full text linkClimate change has an impact on decreasing agricultural production, especially food crops. The rate of decline in agricultural production due to climate change ranges from 5-20%.The objective of this study was to forecastfood-cropsat Papua Province that are tolerance and adaptable to climate change using trend method. This study used four models of trend analysis, i.e: linear least square pattern, quadratic, exponential, and moving averages, with secondary data base of rice, maize, soybean and sweet potato production; climate data (rainfall); productivity and harvested areas from 1970-2015. These data were used to estimate food crop production in the year of climate change to determine their impact on food-crop production. Results showed that soybean was the most sensitive crop to climate change. It has the biggest impact on production, yield declined on both El Nino (10.7%) and La Nina (11.4%). The lowest impact was on rice crop, which is generally cultivated on the wetlands, El Nino decreased of production of 2.9% and La Nina increased production 2.4%, respectively. Two other crops, maize production decreased 7.4% on the El Nino and 3.9% increased during the La Nina. Futhermore, the the analysis revealed that sweet potatois the most resistant crop to climate change since it production increase by 2.5% during El Nino. As conclusion, moving average trendof order 2 model was most appropriate to estimate the value of rice and soybean production in the 1970-2015 period.The quadratictrend model wasapropriate to estimate maize and sweet potato production based on its the MAPE, MAD, and MSD values
ANALISIS DIALEL KARAKTER UKURAN BUAH PEPAYA MENGGUNAKAN METODE I DAN II GRIFFING
Full text linkProblems in the assembly of hybrid papaya for improving fruit size is limited information of proper parents, a good hybrid combination and limited other genetic information. The aim of the research is to analyse general combining ability (GCA), specific combining ability (SCA) and the analysis of genetic characteristics related to the character of the size of the fruit on the five parents papaya using Griffing methods I and II approach. The study was conducted from January 2010 to December 2013. The full diallel population and half diallel population genetic material using five parenst of papaya. Papaya parents used were Merah Delima (BT-1), BT-2, Carmina, Carmida (BT-4) and Dampit. Research was arranged in a randomized block design with three replications. The results showed that there was a significant reciprocal effect on Griffing model method 1 causing different values of SCA in the same combination of crosses. There were no differences in GCA estimation values using Griffing Methods I and II. Parent Dampit has the highest positive GCA predictive value, while the BT-2 and BT-3 have negative GCA estimation values for all fruit size characters. Based on the SCA estimation using Griffing Method I, the crossed pair has the highest SCA guess value of BT-4xD and BT-1X D. When using the griffing method II, the crossed pairs of BT-3 x BT-4 and D x BT-4 have the largest SCA estimated value for fruit size. Based on the griffing method I and II, it is known that more fruit size characters are controlled by the additive gene, so improving the fruit character can be through the selection
PEMANFAATAN SOFTWARE OPEN SOURCE “R” UNTUK PENELITIAN AGROKLIMAT
Full text linkAnalysis in agro-climate research often uses long and varied time series data and even involves complex simulation models. Software is required to produce information quickly, precisely, and accurately. Agro-climate research is sometime constrained by the availability proprietary software since cost of proprietary/ licensed software is relatively high. Open source software (OSS) is one solution to overcome this constrain whereas OSS can be used freely. This paper discusses the utilization of "R" for agro-climatic research that comprise of available “R” packages for agro-climate research, several studies have applied “ R” and advantage of “R” over other statistics software. Nowadays, there are many agroclimate researches and studies have utilized R both for spatial and tabular analysis. R can be used for simple statistical analysis such as variance analysis for experimental research and even for complex climate model. Many “R” packages for agro-climate research have been developed. The “R” capabilities on data management, model simulation, modelling and machine learning are “R” advantages that very useful for current agro-climate research. By using "R" researchers have greater opportunity to explore the historical agro-climate data. "R" should be developed in agro-climate research with existing packages. Researchers can develop new packages from existing packages to solve agro-climate problems and agricultural issues in general
PREDICTION OF COMBINING ABILITY AND HETEROSIS IN THE SELECTED PARENTS AND HYBRIDS IN RICE (Oryza Sativa.L)
Full text linkSelection of parents based on their combining ability is an effective approach in hybrid breeding. Four CMS and four restorer lines were crossed in line x tester mating design to obtain 16 F1 hybrids rice. The 8 parental lines and 16 hybrids rice were planted in randomized complete block design with three replications at Kuningan and Muara field station of ICRR during 2012-2013. The results revealed that mean squares for GCA were significant for number of fertile spikelet per panicle, a thousand-grains weight, and 50% days of flowering. Mean squares for SCA were significant for plant height and grain yield. Parental lines exhibited the highest GCA effects for GMJ12A (line) and CRS703 (tester) for grain yield trait and revealed good potential to be used as parents for hybrid rice. Among all the crosses, GMJ6A/CRS707 and GMJ12A/CRS707 showed the greatest positive SCA effects for grain yield and had heterosis over better parent and midparent
EFEKTIVITAS DAN PERILAKU PETANI DALAM MEMANFAATKAN TEKNOLOGI INFORMASI BERBASIS CYBER EXTENSION
Full text linkInformation technology based on cyber extension is one of agricultural communication tools to achieve farmers welfare. Cyber extension is a technology innovation to accelerate communication of agricultural information to the user , so that information can be obtained more quickly, precisely and relevant to farmer demands.The study aimed to analyze the effectiveness and behavior of farmers in using cyber extension as a medium of communication and information in support of agricultural development. The study method was survey with 86 farmer as sample respondents. The data were analyzed descriptively and using path analysis. The results show that the effectiveness of cyber extension is influenced by the farmer characteristics, farmers interaction and farmer perception. The effectiveness of cyber extension is the most strongly influenced by farmer characteristics (coefficient rate 0.328 ), and can be seen from the availability of information technology facilities and motivation of farmers to seek required information for farming activities. On the other hand, farmer's behavior is directly influenced by farmer perception and farmer effectiveness in using cyber extension. In addition, cyber extension is strongly effective to influence farmer behaviour with a coefficient of 0.413
PENDEKATAN SIMULASI UNTUK MENENTUKAN FREKUENSI AMATAN DALAM PENDUGAAN PRODUKTIVITAS CABAI
Full text linkHorticulture is one of the important commodities in the agricultural sector. Methods of horticulture data collection is continuously developed to meet the needs of planning, one of which is a method of counting clump (RC) to estimate the productivity of horticultural commodities. However, the method of the RC is still encountering difficulties in its application, one of the difficulties is in the observation of crops with multiple harverst, such as chili. Simulation was conducted through generating productivity data using 5 models on group productivity data using 5 models on group productivity of plot samples with the same general characteristics. Through the simulation approach, the results of this study indicate that the observations of only partial harvest (twice) can estimate well total observation of harvest, provided the harvest frequency is known