Pengaruh Faktor-faktor Produksi terhadap Produksi USAha Industri Kerajinan Tangan Mutiara Ratu di Kota Palu

Penelitian ini bertujuan untuk mengetahui pengaruh faktor-faktor produksi terhadap produksi USAha industri kerajinan tangan Mutiara Ratu di Kota Palu. Penelitian dilaksanakan di Jl. Makagili, Kelurahan Pantoloan, Kecamatan Tawaeli, Kota Palu. Penelitian ini menggunakan data primer dan data sekunder. Alat analisis yang dipakai adalah fungsi produksi Cobb-Douglas yang perhitungannya menggunakan persamaan regresi linier berganda. Hasil penelitian menunjukkan bahwa seluruh variabel secara simultan berpengaruh signifikan terhadap produksi kerajinan tangan pada USAha industri Mutiara Ratu di Kota Palu. Variabel modal (X1), tenaga kerja (X2) dan bahan baku (X3) berpengaruh nyata/signifikan terhadap produksi kerajinan tangan, sedangkan variabel peralatan (X4) berpengaruh tidak nyata/non signifikan terhadap produksi kerajinan tangan

Geometrical Effects in Determination of Fickian Mass Diffusivity of Polymers

Hydrophilicity of polymers makes them prone to moisture absorption that leads to degradation of mechanical properties. Kinetics of moisture ingress needs to be fully characterized to perform reliable designs with polymeric materials. The rate of diffusion is the essential parameter in determining the time scale of the moisture uptake in polymeric materials. The model from which the diffusion coefficient is to be determined can be mathematically complex when the viscoelastic relaxation and diffusion time scales are comparable (i.e. Deborah Number ~ l). However, Fickian type of diffusion is shown to be adequate in modeling the moisture absorption into a broad range of polymers. Most methods for determining the diffusion coefficient are based on the solution of Fick's second law in semi-infinite and slab domains from which, a closed form solution has been adapted by the American Society of Testing and Materials (ASTM). However, those techniques either do not consider the errors due to finite sample dimension or the correction factors provided are not precise enough. In addition, fabrication of samples conforming ASTM standard (i.e. length or width to thickness ratio of 100 or greater) may not be practical due to difficulties in producing and testing very thin coupons. In this study, the solution of the Fickian diffusion equation for a three-dimensional rectangular domain is utilized to generate mass gain data for geometries with length to thickness ratios ranging from l to I 00. These data are then used to demonstrate the errors introduced by the two conventional methods used to determine the diffusion coefficient for sample dimensions deviating from an infinitely wide slab. After applying the correction factor suggested by ASTM, up to 13% error is observed in the diffusion coefficient. In order to improve the prediction of diffusion coefficient, a least square curve fit method, which yields accurate predictions regardless of the sample geometry, is proposed.YesPeer reviewed and presented at the 23rd Oklahoma AIAA/ASME Symposium

Ground Improvement in Deep Waters Using Dynamic Replacement

Dynamic Replacement is a ground improvement technique used for treating soft compressible cohesive soils. It has been used in numerous land projects and a number of offshore works with seabed as deep as 15 m below sea level. Recently, works of similar nature was carried out in Southeast Asia with the intention of exploring the possibility of treating soils in deeper waters. In this case, the seabed was 30 m below sea level, and to the knowledge of the authors, is a world record as the deepest Offshore Dynamic Replacement or Dynamic Compaction works. The pressuremeter test was used to verify the results and to estimate the soil parameters

Strategi Meningkatkan Motivasi dan Hasil Belajar Akuntansi melalui Model Arias

The objective of this research is to improve the learning motivation and achievement in Accounting through the use of ARIAS model (Assurance, Relevance, Interest, Assessment, and Satisfaction) for the Vocational Secondary School students. 39 students of Vocational Secondary School Batik 2 of Surakarta were drawn as sample. The data of research were collected through questionnaire, observation, interview, test, documentation/archives. They were validated by using content validity and analyzed by using descriptive and comparative method. The result of research shows that application of ARIAS model can improve students' learning motivation and learning achievement in Accounting. It is indicated by the improvement of learning motivation on all of the indicator. Meanwhile, the improvement of the achievement is based on cognitive aspect. The learning motivation from the questionnaire, improved 38% (from 46% to 84%), whereas from the observation, improved 45% (from 38% to 83%). The achievement on the cognitive aspect, improved 54% (from 28% to 82%). Based on students' average score, the achievement improved 15 points (from 69 to 84). The improvement is statistically significant as indicate by the value of t count = 7,607 which was greater than that of t table = 2,024 at α = 0,05

Limits on extra dimensions in orbifold compactifications of superstrings

Perturbative breaking of supersymmetry in four-dimensional string theories predict in general the existence of new large dimensions at the TeV scale. Such dimensions can be consistent with perturbative unification up to the Planck scale in a class of string models and open the exciting possibility of lowering a part of the massive string spectrum at energies accessible to future accelerators. The main signature is the production of Kaluza-Klein excitations which have a very particular structure, strongly correlated with the supersymmetry breaking mechanism. We present a model independent analysis of the physics of these states in the context of orbifold compactifications of the heterotic superstring. In particular, we compute the limits on the size of large dimensions used to break supersymmetry.Comment: 16 pages, CPTH-A257.079

Deep learning framework for uncovering compositional and environmental contributions to pitting resistance in passivating alloys

We have developed a deep-learning-based framework for understanding the individual and mutually combined contributions of different alloying elements and environmental conditions towards the pitting resistance of corrosion-resistant alloys. A fully connected deep neural network (DNN) was trained on previously published datasets on corrosion-relevant electrochemical metrics, to predict the pitting potential of an alloy, given the chemical composition and environmental conditions. Mean absolute error of 170 mV in the predicted pitting potential, with an R-square coefficient of 0.61 was obtained after training. The trained DNN model was used for multi-dimensional gradient descent optimization to search for conditions maximizing the pitting potential. Among environmental variables, chloride-ion concentration was universally found to be detrimental. Increasing the amounts of dissolved nitrogen/carbon was found to have the strongest beneficial influence in many alloys. Supersaturating transition metal high entropy alloys with large amounts of interstitial nitrogen/carbon has emerged as a possible direction for corrosion-resistant alloy design

Process Induced Defects in Resin Transfer Molded Composites

PreviewResin transfer molding (RTM) is an attractive, versatile and cost-effective alternative to autoclave processing for manufacturing geometrically complex, structural polymer matrix composites (PMC). However, process induced defects such as microvoids or unwetted, dry spots often limit wider usage of RTM parts in high performance, mission critical applications. Understanding morphology of these defects, in addition to their formation mechanisms and removal techniques is an important step towards developing improved RTM processes. In this work, process induced defects in RTM parts are presented and contrasted to other defects encountered in PMCs. Defects in PMCs, which are classified as design induced and process induced, are both reviewed. Thereafter, more attention is drawn on voids and dry spots since they are known to be the most significant defects in RTM PMCs. Hence, dry spot formation mechanisms in RTM and available prevention techniques are summarized. In addition to adverse effects, formation mechanisms, and characterization methods of voids as well as their removal techniques are presented.Ye

Nano-scale Flexible Interphase in a Glass Fiber/Epoxy Resin System Obtained by Admicellar Polymerization

Organosilane coupling agents are widely used in the composites industry to improve the wetting of inorganic reinforcements by low surface energy resins. An increased wettability is often a harbinger of better mechanical properties in a structural composite. Silane coatings effectively increase the spreading of liquid matrixes over glass reinforcement by altering the surface energetics of glass, not by extensive coverage, but by eradication of the high-energy sites present in the oxide surface. Commercial sizings often applied to glass fibers contain up to 10% of the active silane agent, while the remaining 90% is a mixture of lubricants, surfactants, anti-stats, and film formers. Recent investigations have demonstrated that non-reactive components tend to remain in high concentrations within the interphase, thus weakening the resin network crosslink density and increasing the potential for water ingress. Further, sizing formulations are proprietary and designed for specific resin system, which make them expensive, consequently limiting their widespread use. In this paper, admicellar polymerization, a versatile technique to prepare elastomeric thin films of styrene-isoprene copolymer and polystyrene on the surface of random glass-fiber mats is presented. This hydrophobic coating of monolayer thickness applied to the glass fibers is not expected to disrupt the matrix cross-linking reaction; and due to its higher elastic modulus, is believed to cause a change in the stress distribution along the fiber length. Admicellar-modified reinforcements were impregnated with an epoxy resin system: EPON 815C/EPICURE 3232, and molded by Resin Transfer Molding (RTM) into disk shaped parts. Tensile strength, stiffness and interlaminar shear strength (ILSS) were measured for the flexible interphase composites, and compared to parts containing commercially sized and bare fibers. Void fraction, void size and shape distributions, as well as water diffusivity were investigated for each system.YesPeer reviewed and presented at the 18th International Conference of the Polymer processing Society

Process Induced Defects in Liquid Molding Processes of Composites

Liquid Composite Molding (LCM) processes are cost efficient manufacturing alternatives to traditional autoclave technology for producing near-net shape structural composite parts. However, process induced defects often limit wider usage of LCM in structural applications. Thorough knowledge of these defects, as well as their formation mechanisms and prevention techniques is essential in developing improved LCM processes. In this article, process induced defects in liquid molding processes of composites, categorized into preform, flow induced and cure induced defects, are reviewed. Preform defects are further presented as fiber misalignment and fiber undulation (waviness and wrinkling). The respective causes, detrimental effects, and possible prevention methods of these defects are presented. Thereafter, flow induced defects are classified as voids and dry spots. Dry spot formation mechanisms in LCM processes and available prevention techniques are summarized. In addition, void formation mechanisms, adverse effects on composite properties, and removal techniques are presented. Cure induced defects include microcracks, void growth and geometrical distortions (warpage and spring-in). Each of these defects are discussed along with their underlying causes as well as their control and reduction schemes.Ye