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120405095 Penelitian tentang pembuatan biogas dari sampah organik dan kotoran sapi terhadap pengaruh penambahan trace metal (nikel, cobalt) telah selesai dilakukan. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh penambahan trace metal (nikel, cobalt) terhadap kinerja digester anaerobik dalam perolehan biogas. Penelitian ini dilakukan dengan mencampurkan sampah organik dan kotoran sapi yang diblender menggunakan air dengan perbandingan 1:1:2 (w:w:v) dan dioperasikan di dalam digester berukuran 5L dengan volume isian sebesar 4L secara batch selama 30 hari dengan kondisi pH dijaga konstan 6,5-7,5 pada suhu ruangan 25-30 oC. Variasi yang dilakukan dalam penelitian ini yaitu penambahan nikel sebanyak 0,245 mg/L, penambahan cobalt sebanyak 0,245 mg/L dan kombinasi nikel dan cobalt masing-masing 0,25 mg/L. Adapun parameter yang diamati setiap hari yaitu volume biogas dan suhu, parameter yang dianalisa sekali dalam dua hari yaitu chemical oxygen demand, total suspended solid, volatile suspended solid dan pH. Pada penelitian yang dilakukan diperoleh volume biogas terbesar dengan penambahan cobalt sebesar 85 ml/hari, % reduksi COD sebesar 46,48% , % reduksi TSS sebesar 88,78% dan VSS sebesar 16.540 mg/L. The research on biogas production from organic waste and manure to the effect of trace metal (nickel, cobalt) has been done. The objective of this study was to discover the effect of trace metals nickel, cobalt on the performance of biogas anaerobic digester in the acquisition of the raw material organic waste and cow dung. Organic waste and cow dung were blended using water at a ratio of 1:1:2 (w:w:v) and operated in the digester sized 5L with stuffing volume of 4L as batch for 30 days with conditions held constant of pH 6.5-7, 5. This research was conducted with a variety of trace addition of nickel metal as much as 0.245 mg/L, the addition of trace metal cobalt as much as 0.245 mg/L and the combination of nickel and cobalt respectively 0.25 mg/L. As for some of the parameters was observed every day, such as biogas volume and temperature, the parameters are analyzed every 2 days of fermentation such as chemical oxygen demand (COD), total suspended solids (TSS), volatile suspended solids (VSS) and pH. In the study conducted acquired the largest biogas volumes per day with the addition of trace metal cobalt amount of 85 ml, percentage of COD removal by 46,48%, TSS remove percentage obtained was 88,78% and volatile suspended solid as much as 16.540 mg/L.

120405095 Penelitian tentang pembuatan biogas dari sampah organik dan kotoran sapi terhadap pengaruh penambahan trace metal (nikel, cobalt) telah selesai dilakukan. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh penambahan trace metal (nikel, cobalt) terhadap kinerja digester anaerobik dalam perolehan biogas. Penelitian ini dilakukan dengan mencampurkan sampah organik dan kotoran sapi yang diblender menggunakan air dengan perbandingan 1:1:2 (w:w:v) dan dioperasikan di dalam digester berukuran 5L dengan volume isian sebesar 4L secara batch selama 30 hari dengan kondisi pH dijaga konstan 6,5-7,5 pada suhu ruangan 25-30 oC. Variasi yang dilakukan dalam penelitian ini yaitu penambahan nikel sebanyak 0,245 mg/L, penambahan cobalt sebanyak 0,245 mg/L dan kombinasi nikel dan cobalt masing-masing 0,25 mg/L. Adapun parameter yang diamati setiap hari yaitu volume biogas dan suhu, parameter yang dianalisa sekali dalam dua hari yaitu chemical oxygen demand, total suspended solid, volatile suspended solid dan pH. Pada penelitian yang dilakukan diperoleh volume biogas terbesar dengan penambahan cobalt sebesar 85 ml/hari, % reduksi COD sebesar 46,48% , % reduksi TSS sebesar 88,78% dan VSS sebesar 16.540 mg/L. The research on biogas production from organic waste and manure to the effect of trace metal (nickel, cobalt) has been done. The objective of this study was to discover the effect of trace metals nickel, cobalt on the performance of biogas anaerobic digester in the acquisition of the raw material organic waste and cow dung. Organic waste and cow dung were blended using water at a ratio of 1:1:2 (w:w:v) and operated in the digester sized 5L with stuffing volume of 4L as batch for 30 days with conditions held constant of pH 6.5-7, 5. This research was conducted with a variety of trace addition of nickel metal as much as 0.245 mg/L, the addition of trace metal cobalt as much as 0.245 mg/L and the combination of nickel and cobalt respectively 0.25 mg/L. As for some of the parameters was observed every day, such as biogas volume and temperature, the parameters are analyzed every 2 days of fermentation such as chemical oxygen demand (COD), total suspended solids (TSS), volatile suspended solids (VSS) and pH. In the study conducted acquired the largest biogas volumes per day with the addition of trace metal cobalt amount of 85 ml, percentage of COD removal by 46,48%, TSS remove percentage obtained was 88,78% and volatile suspended solid as much as 16.540 mg/L.

Silk worms is one kind of natural food like fish larvae because they contain good nutrients for the growth of fish larvae. This study aims to determine the appropriate amount of fertilizer and the implementation of systems of recirculation to the growth of silk worms. The research was conducted on July 29 to September 18, 2016 placed in a field laboratory of the Faculty of Fisheries and Marine University of Riau. The media used is in the form of sludge reservoirs, dedek smooth, tofu, chicken manure and EM4. While the materials used are silk worms obtained from collectors. Experimental method used was a completely randomized design (CRD) with 3 levels of the factor treatments and 3 repetitions. The treatments used: P0: without the use of chicken manure, P1: 500 g of chicken manure / 0.098 m2, P2: 600 g of chicken manure / 0.098 m2, and P3: 700 g of chicken manure / 0.098 m2. The data observed is the growth of biomass weight, average length, and water quality. The results of this study with the treatment of chicken manure fertilizer of different very significant effect (P 0.05). The average length of the highest in treatment P2 (1.83 cm). Water quality measured during the study was the temperature (25-29˚C), pH (6-7), dissolved oxygen (6,0-6,5 ppm), and CO2-free (2,0-3,5 ppm). From this study it can be concluded that giving different chicken manure can affect the growth of silk worms

Silk worms is one kind of natural food like fish larvae because they contain good nutrients for the growth of fish larvae. This study aims to determine the appropriate amount of fertilizer and the implementation of systems of recirculation to the growth of silk worms. The research was conducted on July 29 to September 18, 2016 placed in a field laboratory of the Faculty of Fisheries and Marine University of Riau. The media used is in the form of sludge reservoirs, dedek smooth, tofu, chicken manure and EM4. While the materials used are silk worms obtained from collectors. Experimental method used was a completely randomized design (CRD) with 3 levels of the factor treatments and 3 repetitions. The treatments used: P0: without the use of chicken manure, P1: 500 g of chicken manure / 0.098 m2, P2: 600 g of chicken manure / 0.098 m2, and P3: 700 g of chicken manure / 0.098 m2. The data observed is the growth of biomass weight, average length, and water quality. The results of this study with the treatment of chicken manure fertilizer of different very significant effect (P 0.05). The average length of the highest in treatment P2 (1.83 cm). Water quality measured during the study was the temperature (25-29˚C), pH (6-7), dissolved oxygen (6,0-6,5 ppm), and CO2-free (2,0-3,5 ppm). From this study it can be concluded that giving different chicken manure can affect the growth of silk worms

Climate change is difficult phenomenon to be understood by ordinary community. Whereas perception and knowledge of climate change will influence mitigation and adaptation, which can decrease risks of climate change impact. The research aims to find out community's perception about climate change and adaptation efforts which have been done by communities of Sarawet Village at North Minahasa Regency. Perception and adaptation data were obtained through interview and focus group discussion. The result shows that 96.67 % of community has experienced the symptoms and impacts of climate change, which perceived as extreme season or the shift of rain and drought season. The most perceived climate change impacts are crop failure, less income from agriculture and drought. This perception indicates a lack of environmental and forestry information. The adaptation efforts that have been done by the community include change plant species that need lack water as well as fulfill needs of clean water from the central well and utilize springs from upstream. Based on SWOT analysis An appropriate strategy to encourage adaptation in Sarawet village is done through increasing the adaptive capacity of the community

Climate change is difficult phenomenon to be understood by ordinary community. Whereas perception and knowledge of climate change will influence mitigation and adaptation, which can decrease risks of climate change impact. The research aims to find out community's perception about climate change and adaptation efforts which have been done by communities of Sarawet Village at North Minahasa Regency. Perception and adaptation data were obtained through interview and focus group discussion. The result shows that 96.67 % of community has experienced the symptoms and impacts of climate change, which perceived as extreme season or the shift of rain and drought season. The most perceived climate change impacts are crop failure, less income from agriculture and drought. This perception indicates a lack of environmental and forestry information. The adaptation efforts that have been done by the community include change plant species that need lack water as well as fulfill needs of clean water from the central well and utilize springs from upstream. Based on SWOT analysis An appropriate strategy to encourage adaptation in Sarawet village is done through increasing the adaptive capacity of the community

The objectives of this research are (1) to analyze the changing patterns of soil quality, water quality and Methane (CH4) due to cropping index improvement, (2) to analyze productivity and economic due to the increasing of rice cultivation intensity at technical irrigated rice field, (3) to arrange the optimum model of intensive rice cultivation at technical irrigated rice field by Integrated Crop Management (ICM) approach with low methane emission sustainably, and (4) to analyze sustainable index of optimum model of intensive rice cultivation with cropping index improvement at technical irrigated rice field and (5) to arrange the policy strategy in the implementation of optimum model of intensive rice cultivation at technical irrigated rice field by Integrated Crop Management (ICM) with low methane emission sustainably. This research used split plot design. The treatment of irrigation systems as the main split plot factor is intermittent irrigation and continuous system (flooded) and fertilization as sub plot factor which is fertilization treatment are applied, based on the Recommendation of the Minister of Agriculture No. 40/2007 and based on laboratory analysis recommendation with 8 levels of fertilization treatment with 3 replications. Data analysis for soil quality, water, methane emissions, production and rice productivity are done by analysis of variance (ANOVA) and for the analysis of production, productivity and the methane emission are continued into Duncan Multiple Range Test (DMRT) test. Further sustainability analysis of the RAPFISH modification is called Rapfarm (Rapid Appraisal for Farming) by using the multidimensional scaling (MDS) method, to arrange the scenario is used dynamic model systems approach. The result of study showed that intensive rice cultivation by increasing of planting intensity did not reduce soil and water quality and methane emission can be pushed until 66,05%. Cultivation of intensive rice by increasing of planting season up to four planting seasons in a year by ICM approach can increase rice production and productivity up to 30% and also increase farmer’s income significantly. Optimum Model of intensive rice cultivation is by planting rice for four times a year with the planting pattern of rice-rice-rice-rice by using ICM system especially by using intermittent irrigation system and fertilization appropriate for plant nutrients (recommendation from result of laboratory analysis with the dosage 100% plus probiotic). The value of methane with optimum model application can be reduced significantly from 218.826.889,43 kg CH4 to 397.181,03 kg CH4 in 2030. The value of sustainable index of optimum model of intensive rice cultivation has range between 42,84-66,54 (included in the category of sufficiency) and the result of statistical test showed that RAP-INLASIT-IP 400 method is good enough to be used as one of the devices to evaluate the sustainability implementation optimum model of intensive rice cultivation on technical irrigated rice field. 098106004

The objectives of this research are (1) to analyze the changing patterns of soil quality, water quality and Methane (CH4) due to cropping index improvement, (2) to analyze productivity and economic due to the increasing of rice cultivation intensity at technical irrigated rice field, (3) to arrange the optimum model of intensive rice cultivation at technical irrigated rice field by Integrated Crop Management (ICM) approach with low methane emission sustainably, and (4) to analyze sustainable index of optimum model of intensive rice cultivation with cropping index improvement at technical irrigated rice field and (5) to arrange the policy strategy in the implementation of optimum model of intensive rice cultivation at technical irrigated rice field by Integrated Crop Management (ICM) with low methane emission sustainably. This research used split plot design. The treatment of irrigation systems as the main split plot factor is intermittent irrigation and continuous system (flooded) and fertilization as sub plot factor which is fertilization treatment are applied, based on the Recommendation of the Minister of Agriculture No. 40/2007 and based on laboratory analysis recommendation with 8 levels of fertilization treatment with 3 replications. Data analysis for soil quality, water, methane emissions, production and rice productivity are done by analysis of variance (ANOVA) and for the analysis of production, productivity and the methane emission are continued into Duncan Multiple Range Test (DMRT) test. Further sustainability analysis of the RAPFISH modification is called Rapfarm (Rapid Appraisal for Farming) by using the multidimensional scaling (MDS) method, to arrange the scenario is used dynamic model systems approach. The result of study showed that intensive rice cultivation by increasing of planting intensity did not reduce soil and water quality and methane emission can be pushed until 66,05%. Cultivation of intensive rice by increasing of planting season up to four planting seasons in a year by ICM approach can increase rice production and productivity up to 30% and also increase farmer’s income significantly. Optimum Model of intensive rice cultivation is by planting rice for four times a year with the planting pattern of rice-rice-rice-rice by using ICM system especially by using intermittent irrigation system and fertilization appropriate for plant nutrients (recommendation from result of laboratory analysis with the dosage 100% plus probiotic). The value of methane with optimum model application can be reduced significantly from 218.826.889,43 kg CH4 to 397.181,03 kg CH4 in 2030. The value of sustainable index of optimum model of intensive rice cultivation has range between 42,84-66,54 (included in the category of sufficiency) and the result of statistical test showed that RAP-INLASIT-IP 400 method is good enough to be used as one of the devices to evaluate the sustainability implementation optimum model of intensive rice cultivation on technical irrigated rice field. 098106004

Climate change vulnerability is the function of exposure, sensitivity, and adaptive capacity of its natural and socioeconomic systems. Following spatial “scale” of the assessment, administrative-territorial units were selected for this study. A field survey questionnaire was used to collect data for the study based on the sample size of 500 questionnaires that was administered to household heads in the study area. In the questionnaire, questions were designed to give respondents the opportunity to choose from several alternatives given in the instrument while descriptive statistics was for the analysis of data. Descriptive statistics analysis based on mean ranking was carried out to identify the level of peoples' vulnerability to climate change in the study area. The exposure assessment was based on the response analysis of baseline information. The sensitivity assessment for the study was analyzed by using physiographical and socioeconomic characteristics, described by a set of specific indicators and responses of the residents. The adaptive capacity was captured by general economic and agricultural indicators, taking into consideration the major occupation the predominant lifestyle of the residents. Through a ranking approach, the relative vulnerability of each ATU was calculated by summing its sensitivity and adaptive capacity ranks; the latter were obtained as combinations of their primary indicator ranks, arranged in an increasing and decreasing order, respectively. The major climate change exposure pathway in the study area were reduction in green environment, decrease in total annual rainfall, warmer weather, early cessation of rainfall, late on-set of rainfall and shrinkage of water bodies. The major sensitivity to climate change was decrease in crop yield, whereas increase in cost of food crops, drought incidents, famine, poverty, indiscriminate falling down of trees and disaster. It was also established that the major adaptive strategies to climate change in the study area were irrigation farming, use of organic manure, planting of drought tolerant varieties and early planting.

Climate change vulnerability is the function of exposure, sensitivity, and adaptive capacity of its natural and socioeconomic systems. Following spatial “scale” of the assessment, administrative-territorial units were selected for this study. A field survey questionnaire was used to collect data for the study based on the sample size of 500 questionnaires that was administered to household heads in the study area. In the questionnaire, questions were designed to give respondents the opportunity to choose from several alternatives given in the instrument while descriptive statistics was for the analysis of data. Descriptive statistics analysis based on mean ranking was carried out to identify the level of peoples' vulnerability to climate change in the study area. The exposure assessment was based on the response analysis of baseline information. The sensitivity assessment for the study was analyzed by using physiographical and socioeconomic characteristics, described by a set of specific indicators and responses of the residents. The adaptive capacity was captured by general economic and agricultural indicators, taking into consideration the major occupation the predominant lifestyle of the residents. Through a ranking approach, the relative vulnerability of each ATU was calculated by summing its sensitivity and adaptive capacity ranks; the latter were obtained as combinations of their primary indicator ranks, arranged in an increasing and decreasing order, respectively. The major climate change exposure pathway in the study area were reduction in green environment, decrease in total annual rainfall, warmer weather, early cessation of rainfall, late on-set of rainfall and shrinkage of water bodies. The major sensitivity to climate change was decrease in crop yield, whereas increase in cost of food crops, drought incidents, famine, poverty, indiscriminate falling down of trees and disaster. It was also established that the major adaptive strategies to climate change in the study area were irrigation farming, use of organic manure, planting of drought tolerant varieties and early planting.

Despite a sufficient energy supply, harvesting energy from rainfall is essential for intelligent water management. A significant part is still untapped or little exploited, which is the renewable energy produced from rainwater. This paper proposes a portable gutter of the rainwater energy harvesting system to provide electricity that may be sufficient for powering lights and charging cell phones in rainy locations with limited electricity. A prototype is designed and tested to determine the feasibility of rainwater as a source of renewable energy. The aim is to minimize and respectively suspend the use of fossil energy sources, as well as decrease the percentage of pollution as it is a cause of global warming. The system prototype consisted of a gutter assembly that collected and funneled water from the roof to a downspout. The turbine was connected through a gearbox to a DC motor serving as the generator. The device is optimal during high rainfall intensities that produce larger flow rates. A smart algorithm has been applied, which is salutary to keep the system working and has the ability to control the flow of collected rainfall water. Also, this system is useful to install and use in the rural area where the national grids are not common and the level of rainfall is high. The applied system utilized and installed in more than one hundred premises can produce more than 4 kWh for one rain. In some countries such as Malaysia, the average number of rainy days is 250 days a year, so the use of this system in 100 premises can help to provide 80 MWh to the national grid yearly. The system is characterized by simplicity of design and lack of complexity in addition to ease of installation and cheapness, which is the basis for the availability of this system for use by everyone