Faktor-faktor yang Mendasari Pengambilan Keputusan Petani Tebu Bermitra dengan PG. Djatiroto

Bahan baku tebu di PG. Djatiroto diperoleh dari tebu milik sendiri (TS) dan tebu rakyat (TR) melaui sistem kemitraan kerjasama bagi hasil dengan petani. Penelitian bertujuan untuk: (1) mengetahui faktor-faktor yang mendasari pengambilan keputusan petani tebu bermitra dengan PG. Djatiroto, (2) perbedaan pendapatan petani tebu yang bermitra dan petani tebu yang tidak bermitra dengan PG. Djatiroto. Metode pengambilan contoh menggunakan Proportionate stratified random sampling. Data yang digunakan adalah data primer dan data sekunder. Data dianalisis menggunakan Regresi Logistik dan Independent sample t-test. Hasil penelitian menunjukkan: (1) faktor yang berpengaruh nyata terhadap pengambilan keputusan petani tebu bermitra dengan PG. Djatiroto adalah faktor pengalaman dengan nilai signifikansi sebesar 0,092, faktor pendapatan dengan nilai signifikansi sebesar 0,036, dan faktor jumlah anggota keluarga dengan nilai signifikansi sebesar 0,068 sedangkan faktor umur dan pendidikan berpengaruh tidak nyata terhadap pengambilan keputusan petani tebu bermitra dengan PG. Djatiroto; (2) terdapat perbedaan pendapatan antara petani tebu yang bermitra dan petani tebu yang tidak bermitra dengan PG. Djatiroto dengan nilai signifikansi sebesar 0,002, pendapatan petani tebu yang bermitra lebih besar dari pada pendapatan petani tebu yang tidak bermitra dengan PG. Djatiroto. Rata-rata pendapatan petani tebu yang bermitra sebesar Rp. 25.822.092/ha/tahun sedangkan rata-rata pendapatan petani tebu yang tidak bermitra sebesar RP. 20.010.176/ha/tahun

IDENTIFIKASI AKTIVITAS PEREKONOMIAN MASYARAKAT SEKITAR PELABUHAN AMURANG

This study aims to determine the activities of the Amurang Port on the economy of the communities around the harbor. This research was conducted at the Amurang, Sub-district of West Amurang, South Minahasa Regency. The method used in this study is a qualitative research method. The reason for using qualitative methods for this research seeks to find answers to questions relating to the socio-economic life of the commonity who are residing around the port. The data used are primary data and secondary data. Data was collected by using observation, interview and documentation. The research found that the activities in Amurang Port can increase the income of local communities, opening up a new business thus increasing employment absortion, there are trading activities and there are social-economic activities around the harbor. Thus the presence of the Amurang Port has a positive impact for the people that are around the port Amurang form of employment absortion and increased income of communityKeywords : identification, economic activities, the Amurang Port, Sub-district of WestAmurang, South Minahasa Distric

Projected long-term outcomes in patients with type 1 diabetes treated with fast-acting insulin aspart versus conventional insulin aspart in the UK setting

Aims: Many patients with type 1 diabetes mellitus (T1DM) fail to achieve optimal glycemic control and mealtime insulins that more closely match physiological insulin secretion can help improve treatment. In the onset 1 trial, fast-acting insulin aspart (faster aspart) was shown to improve glycemic control in patients with T1DM compared with conventional insulin aspart (insulin aspart). In the UK, faster aspart and insulin aspart are associated with the same acquisition cost, and therefore the present analysis assessed the impact of faster aspart versus insulin aspart on long-term clinical outcomes and costs for patients with T1DM in the UK setting. Methods: The QuintilesIMS CORE Diabetes Model was used to project clinical outcomes and costs over patient lifetimes in a cohort with baseline characteristics from the onset 1 trial. Treatment effects were taken from the 26-week main phase of the onset 1 trial, with costs and utilities based on literature review. Future costs and clinical benefits were discounted at 3.5% annually. Results: Projections indicated that faster aspart was associated with improved discounted quality-adjusted life expectancy (by 0.13 quality-adjusted life years) versus insulin aspart). Improved clinical outcomes resulted from fewer diabetes-related complications and a delayed time to their onset with faster aspart. Faster aspart was found to be associated with reduced costs versus insulin aspart (cost savings of GBP 1,715), resulting from diabetes-related complications avoided and reduced treatment costs. Conclusions: Faster aspart was associated with improved clinical outcomes and cost savings versus insulin aspart for patients with T1DM in the UK setting

Chemical data quantify Deepwater Horizon hydrocarbon flow rate and environmental distribution

Author Posting. © The Author(s), 2011. This is the author's version of the work. It is posted here by permission of National Academy of Sciences for personal use, not for redistribution. The definitive version was published in Proceedings of the National Academy of Sciences of the United States of America (2012), doi:10.1073/pnas.1110564109.Detailed airborne, surface, and subsurface chemical measurements, primarily obtained in May and June 2010, are used to quantify initial hydrocarbon compositions along different transport pathways – in deep subsurface plumes, in the initial surface slick, and in the atmosphere – during the Deepwater Horizon (DWH) oil spill. Atmospheric measurements are consistent with a limited area of surfacing oil, with implications for leaked hydrocarbon mass transport and oil drop size distributions. The chemical data further suggest relatively little variation in leaking hydrocarbon composition over time. While readily soluble hydrocarbons made up ~25% of the leaking mixture by mass, subsurface chemical data show these compounds made up ~69% of the deep plume mass; only ~31% of deep plume mass was initially transported in the form of trapped oil droplets. Mass flows along individual transport pathways are also derived from atmospheric and subsurface chemical data. Subsurface hydrocarbon composition, dissolved oxygen, and dispersant data are used to provide a new assessment of release of hydrocarbons from the leaking well. We use the chemical measurements to estimate that (7.8±1.9) x106 kg of hydrocarbons leaked on June 10, 2010, directly accounting for roughly three-quarters of the total leaked mass on that day. The average environmental release rate of (10.1 ± 2.0) x106 kg/day derived using atmospheric and subsurface chemical data agrees within uncertainties with the official average leak rate of (10.2 ± 1.0) x106 kg/day derived using physical and optical methods.This research was supported by the National Science Foundation through grants to D. Blake (AGS-1049952), J. Kessler (OCE-1042650 and OCE-0849246), D. Valentine (OCE-1042097 and OCE-0961725), E. Kujawinski (OCE-1045811), and R. Camilli (OCE-1043976), by U.S. Coast Guard contract to R. Camilli (Contract HSCG3210CR0020), and by U.S. Department of Energy grant to D. Valentine (DE- NT0005667). The August, September, and October research cruises were funded by NOAA through a contract with Consolidated Safety Services, Incorporated. The NOAA P-3 oil spill survey flights were funded in part by NOAA and in part by a U.S. Coast Guard Pollution Removal Funding Authorization to NOAA

Microrheology with optical tweezers: data analysis

We present a data analysis procedure that provides the solution to a long-standing issue in microrheology studies, i.e. the evaluation of the fluids' linear viscoelastic properties from the analysis of a finite set of experimental data, describing (for instance) the time-dependent mean-square displacement of suspended probe particles experiencing Brownian fluctuations. We report, for the first time in the literature, the linear viscoelastic response of an optically trapped bead suspended in a Newtonian fluid, over the entire range of experimentally accessible frequencies. The general validity of the proposed method makes it transferable to the majority of microrheology and rheology techniques

IRGC Resource Guide on Resilience (Volume 2)

Volume 2 of the IRGC Resource Guide on Resilience provides an in-depth and pragmatic evaluation of concepts and methods for resilience-based approaches in contrast to risk-based approaches, as proposed and practised in different domains of science and practice. Adequate articulation of risk and resilience is key to ensure security in systems. The guide also considers possible drawbacks of resilience, such as if efforts to improve resilience diverts attention from core functions of risk management, or from the need to discourage inappropriate risk-seeking behaviour. Some of the papers in Volume 2 also discuss the relevance and role of resilience as a strategy to address the challenges posed by systemic risks that develop in complex adaptive systems (CAS). Such systems are interconnected, with the result that risks can cascade within and between systems. Resilience can help navigate dynamic changes in CAS, as those evolve in response to internal and external shocks and stresses

DEFORMATION OF SCORIA CONE BY CONDUIT PRESSURIZATION

A simplified mechanical model is used to simulate the deformation of a scoria cone due to pressurization of magma in a feeder conduit. The scoria cone is modeled as consisting of a cone of stabilized scoria with an axial region of loose scoria (height h{sub 1}), all overlying a vertically oriented cylindrical conduit intruded into rhyolite tuff country rock. For our analyses, the conduit is filled with basalt magma, usually with the upper length (h{sub 2}) solidified. The style of deformation of the cone depends on both h{sub 1} and h{sub 2}. If magma is prevented from hydrofracturing out of the conduit (as, for example, might be the case if the magma is surrounded by a solidified, but plastically deformable layer acting as a gasket backed up by the brittle country rock) pressures in the magma can build to 10s of MPa. When h{sub 1} is 100 m, not unusual for a small isolated basaltic cinder cone, the magma pressure needed to destabilize the cone when molten magma extends all the way to the original ground surface (h{sub 2} = 0) is only about one-third of the pressure when the upper part of the conduit is solidified (h{sub 2} = 25m). In the former case, almost the entire upper third of the cone is at failure in tension when the configuration becomes unstable. In the latter case, small portions of the surface of the cone are failing in tension when instability occurs, but a large volume in the central core of the cone is failing in shear or compressions. These results may provide insight into the status of volcanic plumbing, either past or present, beneath scoria cones. Field observations at the Lathrop Wells volcano in southern Nevada identify structures at the outer edge just below the crater rim that appear to be inward-dipping listric normal faults. This may indicate that, near the end of its active stage, the cone was close to failing in this fashion. A companion paper suggests that such a failure could have been quite energetic had it occurred

Cost Estimating Using a New Learning Curve Theory for Non-Constant Production Rates

Traditional learning curve theory assumes a constant learning rate regardless of the number of units produced. However, a collection of theoretical and empirical evidence indicates that learning rates decrease as more units are produced in some cases. These diminishing learning rates cause traditional learning curves to underestimate required resources, potentially resulting in cost overruns. A diminishing learning rate model, namely Boone’s learning curve, was recently developed to model this phenomenon. This research confirms that Boone’s learning curve systematically reduced error in modeling observed learning curves using production data from 169 Department of Defense end-items. However, high amounts of variability in error reduction precluded concluding the degree to which Boone’s learning curve reduced error on average. This research further justifies the necessity of a diminishing learning rate forecasting model and assesses a potential solution to model diminishing learning rates

Field Micrometeorological Measurements, Process-Level Studies and Modeling of Methane and Carbon Dioxide Fluxes in a Boreal Wetland Ecosystem

The main instrumentation platform consisted of eddy correlation sensors mounted on a scaffold tower at a height of 4.2 m above the peat surface. The sensors were attached to a boom assembly which could be rotated into the prevailing winds. The boom assembly was mounted on a movable sled which, when extended, allowed sensors to be up to 2 m away from the scaffolding structure to minimize flow distortion. When retracted, the sensors could easily be installed, serviced or rotated. An electronic level with linear actuators allowed the sensors to be remotely levelled once the sled was extended. Two instrument arrays were installed. A primary (fast-response) array consisted of a three-dimensional sonic anemometer, a methane sensor (tunable diode laser spectrometer), a carbon dioxide/water vapor sensor, a fine wire thermocouple and a backup one-dimensional sonic anemometer. The secondary array consisted of a one-dimensional sonic anemometer, a fine wire thermocouple and a Krypton hygrometer. Descriptions of these sensors may be found in other reports (e.g., Verma; Suyker and Verma). Slow-response sensors provided supporting measurements including mean air temperature and humidity, mean horizontal windspeed and direction, incoming and reflected solar radiation, net radiation, incoming and reflected photosynthetically active radiation (PAR), soil heat flux, peat temperature, water-table elevation and precipitation. A data acquisition system (consisting of an IBM compatible microcomputer, amplifiers and a 16 bit analog-to-digital converter), housed in a small trailer, was used to record the fast response signals. These signals were low-pass filtered (using 8-pole Butterworth active filters with a 12.5 Hz cutoff frequency) and sampled at 25 Hz. Slow-response signals were sampled every 5 s using a network of CR21X (Campbell Scientific, Inc., Logan Utah) data loggers installed in the fen. All signals were averaged over 30-minute periods (runs)