Linear Equation Model Research Articles

PENGARUH IMPLEMENTASI KEBIJAKAN PERUBAHAN STATUS DESA MENJADI KELURAHAN TERHADAP PRODUKTIVITAS USAHA PEREKONOMIAN MASYARAKAT KELURAHAN JAMPANGKULON

This study aims to determine: (1) the implementation of the policy of changing the status of a village to a sub-district, (2) the productivity of the community's economic business, and (3) the influence of the implementation of the policy of changing the status of a village to a village on the productivity of the community's economic business in the Jampangkulon Village. The population of this research is all economic business actors in Jampangkulon Village, totaling 782 people, with a total sample of 89 people taken using the Proportionate Stratified Random Sampling technique. The results of the calculation of descriptive analysis show that the average score of the Variable Policy Implementation Changes in Village Status into Kelurahan is 3.47 or 69.40% of the ideal value and is included in the good category, while the Productivity of Community Economic Enterprises is 3.65 or 73.00 % of the ideal value and included in the good category. The results of statistical analysis obtained the price of rXY = 0.428 which is included in the criteria is quite strong. With a significance value (2-tailed) 0.000 <0.05, so it can be concluded that the Implementation of the Policy on Changing the Status of a Village to a Village has a positive and significant effect on the Productivity of Community Economic Enterprises. The coefficient of determination (KD) is 0.1832, which means 18.32% of the Community Economic Business Productivity variable (Y) can be explained by the Variable of Policy Implementation to Change Village Status to Kelurahan (X), and the rest is determined by other factors. While the linear regression equation model obtained is Y = 23.993 + 0.483X. Therefore, to increase the productivity of the community's economic business, it is recommended to increase the efficiency and effectiveness of the Policy Implementation to Change the Status of Villages to Villages.

PENGARUH SOSIALISASI KEBIJAKAN LINGKUNGAN TERHADAP KESADARAN MASYARAKAT DALAM MEWUJUDKAN KEBERSIHAN LINGKUNGAN DI KAMPUNG MAJLIS PANYAIRAN KELURAHAN PALABUHANRATU

This study uses a quantitative approach. The population of this study was the entire family head of Majlis Panyairan Village, Palabuhanratu Village, amounting to 339 people, with a total sample of 102 people and carried out using proportionate simple random sampling technique and taken 30% of the total population. The calculation results show that the average item variable for policy socialization on environmental hygiene in Majlis Panyairan Village, Palabuhanratu Village, Sukabumi Regency is 3.48 or 69.60% of the ideal value and is included in the good category, while the average score of the community awareness variable in Majlis Village Panyairan Palabuhanratu Village in realizing environmental cleanliness is 3.36 or 67.20% of the ideal value and is included in the sufficient category. The results of statistical analysis obtained that the price of rXY = 0.534 is included in the fairly strong category. With a significance value (2-tailed) 0.000 <0.05 or tcount = 6.311 > ttable = 1.984, so it can be concluded that the socialization of policies on environmental cleanliness (X) on public awareness in realizing environmental cleanliness (Y) in Majlis Panyairan Village, Palabuhanratu Village . The coefficient of determination (KD) of 28.52% the value of the community awareness variable in realizing environmental cleanliness (Y) in Majlis Panyairan Village, Palabuhanratu Village can be explained by the variable of policy socialization on environmental cleanliness (X), and the remaining 71.48% is determined by other factors . While the linear regression equation model obtained is Y = 19.650 + 0.525X. Therefore, to increase public awareness in realizing environmental cleanliness, it is recommended that the Palabuhanratu Sub-district Government, Sukabumi Regency, be more active in disseminating policies on environmental hygiene.

PENGARUH PENGANGGARAN DANA DESA TERHADAP PEMBERDAYAAN EKONOMI MASYARAKAT KECAMATAN PALABUHANRATU KABUPATEN SUKABUMI

This study uses a quantitative approach. The population of this study were all employees of Palabuhanratu Subdistrict, Palabuhanratu Subdistrict employees and 9 village apparatuses throughout Palabuhanratu Subdistrict totaling 156 people and the number of samples was taken 70% of the total population so that a sample of 109 people was obtained. The calculation results show that the Village Fund Budgeting variable in Palabuhanratu District is included in the good category with an average score of 3.45 or 69.00% of the ideal value, while the economic empowerment of the community in Palabuhanratu District is included in the sufficient category with an average score of 3.39 or 67.80% of the ideal value. The results of statistical analysis obtained the price of rXY = 0.527 which is included in the criteria is quite strong. With a significance value (2-tailed) 0.000 <0.05 or tcount = 6.414 > ttable = 1.982, so it can be concluded that there is an effect of the Village Fund budget on community economic empowerment in Palabuhanratu District. The coefficient of determination (KD) is 0.2777, meaning that the contribution of the village fund budget variable (X) to the community economic empowerment variable (Y) in Palabuhanratu District, Sukabumi Regency is 27.77%, and the remaining 72.23% is determined by other factors. While the linear regression equation model obtained is Y = 21.176 + 0.507X

FAKTOR PENGARUH PADA KEPUTUSAN PEMBELIAN TIKET PESAWAT DI APLIKASI TRAVELOKA

The purpose of this study was to determine whether or not the influence of customer experience, consumer confidence, prices and flight ticket purchasing decisions on the Traveloka application for UNIMAR AMNI Semarang Students. The sample in this study amounted to 52 respondents who used airline ticket services in the Traveloka application. By using probability sampling technique, namely by random sampling. Analysis of the data used in this study is descriptive analysis and quantitative analysis, the data were analyzed using multiple linear regression analysis with the help of (software) Statistical Package For Social Science (SPSS) version 26. The results of the study by partially testing the t-test hypothesis showed that Customer experience, consumer trust, and price have a positive and significant effect on purchasing decisions. Based on the research results, it can be seen that the research model of the multiple linear regression equation is Y= 0.095 + 0.484.X1 + 0.195.X2 +0.295.X3 + . From the regression equation, it can be seen that the most dominant variable affecting the increase in the number of passengers is the price variable with a regression coefficient of 0.095. And the R2 test (Adjusted R Square) obtained results of 0.780 or 78.0% which means that purchasing decisions are influenced by customer experience, consumer confidence and price variables which are 63.8% and other factors that influence passenger decisions are 36.2 % or 0.362.

Study on the influence of constructional parameters on performance of outer layer of thermal protective clothing

A study was designed to determine the effect of basic construction parameters of woven fabric on the thermal protection and comfort performance of the fabric. Thermal protection performance may be calculated using thermal protective performance (TPP) rating. The thermal resistance and water vapour transmission rate (WVTR) of different fabric woven patterns were used to evaluate their comfort performance. The current research is primarily concerned with determining the influence of fabric weaving pattern (plain, twill 2/2, twill 3/1, satin and honeycomb), picks per inch (40, 50 and 60), ply of yarn (2 ply and 3 ply) and type of material (meta aramid and para aramid). We measured the TPP rating of fabrics against 50:50 combination of radiant heat and flame exposures at high level of heat flux (80 ± 2 kW/m2 or ∼2 cal/cm2/s). It was found that the TPP rating of honeycomb weave was very good for the same picks per inch compare to other weaves. The change in ply of yarn (from 3 ply to 2 ply) reduce the TPP rating and areal density of fabric but % loss in areal density is higher compare to TPP rating. Comparing honeycomb woven fabrics to fabrics with different weaving pattern, thermal resistance of honeycomb woven fabrics were good. As the number of fabric picks per inch increased for each type of woven structure examined, the TPP rating and thermal resistance improved, while WVTR declined. The multiple linear regression equation (model) is significant for TPP rating.

Climate Sensitivity of the Arid Scrublands on the Tibetan Plateau Mediated by Plant Nutrient Traits and Soil Nutrient Availability

Climate models predict the further intensification of global warming in the future. Drylands, as one of the most fragile ecosystems, are vulnerable to changes in temperature, precipitation, and drought extremes. However, it is still unclear how plant traits interact with soil properties to regulate drylands’ responses to seasonal and interannual climate change. The vegetation sensitivity index (VSI) of desert scrubs in the Qaidam Basin (NE Tibetan Plateau) was assessed by summarizing the relative contributions of temperature (SGST), precipitation (SGSP), and drought (temperature vegetation dryness index, STVDI) to the dynamics of the normalized difference vegetation index (NDVI) during plant growing months yearly from 2000 to 2015. Nutrient contents, including carbon, nitrogen, phosphorus, and potassium in topsoils and leaves of plants, were measured for seven types of desert scrub communities at 22 sites in the summer of 2016. Multiple linear and structural equation models were used to reveal how leaf and soil nutrient regimes affect desert scrubs’ sensitivity to climate variability. The results showed that total soil nitrogen (STN) and leaf carbon content (LC), respectively, explained 25.9% and 17.0% of the VSI variance across different scrub communities. Structural equation modeling (SEM) revealed that STN and total soil potassium (STK) mediated desert scrub’s VSI indirectly via SGST (with standardized path strength of −0.35 and +0.32, respectively) while LC indirectly via SGST and SGSP (with standardized path strength of −0.31 and −0.19, respectively). Neither soil nor leave nutrient contents alone could explain the VSI variance across different sites, except for the indirect influences of STN and STK via STVDI (−0.18 and 0.16, respectively). Overall, this study disentangled the relative importance of plant nutrient traits and soil nutrient availability in mediating the climatic sensitivity of desert scrubs in the Tibetan Plateau. Integrating soil nutrient availability with plant functional traits together is recommended to better understand the mechanisms behind dryland dynamics under global climate change.

Research on Performance Evaluation Method of Rice Thresher Based on Neural Network

Because the threshing device of a combine harvester determines the harvesting level and threshing separation performance of a combine harvester, the analysis and study of the threshing device of a combine harvester is key to improving its performance. Based on the threshing device of a half-feed combine harvester, the simulation model of a discrete element threshing device is established in this paper. With the threshing drum rotation speed, feed volume, and concave sieve vibration frequency as the variable factors, the BP neural network model and linear regression equation model established for the loss rate and impurity content for two kinds of threshing performance indicators, respectively, and through the discrete element threshing performance test, two kinds of methods of threshing performance prediction are analyzed. The results show that the neural network and linear regression can be used for the threshing performance indicators, however, the BP neural network prediction effect has a better prediction precision, better reliability, and the trained neural network can be used in the general case of the threshing performance indicators. This provides a new idea for improving the threshing performance of a combine harvester.

THE EFFECT OF MUZARA'AH CONTRACT ON WELFARE LEVEL OF POTATO FARMERS (Case Study in Permata District, Bener Meriah Regency)

The purpose of this study is to analyze the effect of the muzara'ah contract on the welfare level of potato farmers in the Permata District, Bener Meriah Regency. The data used in this study are primary data by distributing questionnaires to 85 respondents who were used as research samples. Data processing is done with the help of a simple linear regression equation model. The results showed that the muzara'ah contract had a significant effect on the welfare level of potato farmers in the Permata District, Bener Regency with a tcount of 3.297 and a significant level of 0.001. The muzara'ah contract has a strong relationship with the welfare level of potato farmers in the Permata District, Bener Meriah Regency. This can be seen from the correlation coefficient (R) of 0.740 (74%). The muzara'ah contract has the ability to explain its effect on the welfare level of potato farmers in the Permata District, Bener Meriah Regency by 71.6%. The remaining 38.4% is influenced by other variables outside this research model, such as labor, work experience, length of business, number of dependents, product quality, and others.

High precision implicit method for 3D quasilinear hyperbolic equations on a dissimilar domain: Application to 3D telegraphic equation

In this paper, we recommend a novel high accuracy compact three-level implicit numerical method of order two in time and four in space using unequal mesh for the solution of 3D quasi-linear hyperbolic equations on an irrational domain. The stability analysis of the model Telegraphic equation for unequal mesh has been discussed and it has been shown that the proposed method for Telegraphic equation is unconditionally stable. Operator splitting technique is used to solve 3D linear model equations. In this technique, we use very well-known tri-diagonal solver technique to solve a set of tri-diagonal matrices on an irrational domain. The projected scheme is examined on numerous physical problems on irrational domain to demonstrate the accurateness and efficiency of the suggested scheme.

Thalamic gray matter volume mediates the association between KIBRA polymorphism and olfactory function among older adults: a population-based study.

The kidney and brain expressed protein (KIBRA) rs17070145 polymorphism is associated with both structure and activation of the olfactory cortex. However, no studies have thus far examined whether KIBRA can be linked with olfactory function and whether brain structure plays any role in the association. We addressed these questions in a population-based cross-sectional study among rural-dwelling older adults. This study included 1087 participants derived from the Multidomain Interventions to Delay Dementia and Disability in Rural China, who underwent the brain MRI scans in August 2018 to October 2020; of these, 1016 took the 16-item Sniffin' Sticks identification test and 634 (62.40%) were defined with olfactory impairment (OI). Data were analyzed using the voxel-based morphometry analysis and general linear, logistic, and structural equation models. The KIBRA rs17070145 C-allele (CC or CT vs. TT genotype) was significantly associated with greater gray matter volume (GMV) mainly in the bilateral orbitofrontal cortex and left thalamus (P < 0.05) and with the multi-adjusted odds ratio of 0.73 (95% confidence interval 0.56-0.95) for OI. The left thalamic GMV could mediate 8.08% of the KIBRA-olfaction association (P < 0.05). These data suggest that the KIBRA rs17070145 C-allele is associated with a reduced likelihood of OI among older adults, partly mediated through left thalamic GMV.

Modeling and optimization of energy requirements of disc plough operation on loamy-sand soil in South-East Nigeria using response surface methodology

Energy plays vital role in different in-field and post-harvest operations. It is the amount of fuel consumed during an operation. This research was conducted to model and optimize the energy requirements of disc plough on loamy-sand soil in South-East Nigeria using response surface methodology, to assist agriculturalists and operators of the plough to evaluate and probably decide on appropriate ploughing implement depending on the type of soil for their seed bed preparation for efficient production at negligible energy loss. The operational speed (5-9 kmh−1) and depth of cut (10-30 cm) were adopted as independent factors for the energy requirements study of the tillage implement. Results revealed that the highest fuel intake amount (energy requirement) of 31.25 lha−1 was recorded when the plough was operated at the depth of 30cm for the different speeds. The fuel consumption rate of the implement decreases by 49.98% when operating at cutting depth of 10 and 20cm irrespective of the working speed. The linear model equation was significant (P< 0.05) for the evaluation of energy requirements of the disc plough. The p-value of the model term was 0.0053 which entails that the model equation is significant. The linear model developed to predict the energy requirements of the plough with respect to the independent variables was expressed as Fcr = 3.61462 + 4.29641e−16Sp + 0.78100Dc. Where, Fcr is fuel intake rate, lha−1; Sp is operational speed, kmh−1 and Dc is cutting depth of the disc plough, cm. Results revealed that the coefficient of determination, R2 was 0.6500, which indicated good relationships among the variables, also an indication that the response (fuel intake rate) could describe 65% of the overall erraticism within the response. Result of simulation obtained revealed that the fuel consumption rate fall within the trial range. The predicted R2 (0.3129) was compatible with the adjusted R2 (0.5800) meaning that the investigational data fixed well. Finally, the optimum fuel consumption rate and the desirability of 20.51 lha−1 and 1.00 were respectively obtained at optimal operational speediness of 6.7 kmh−1 and ploughing depth of 18.56cm. In conclusion, cutting depth had greater influence on the energy requirement (fuel consumption rate) of the disc plough than the operational speed.

The Mediating Role of Work Flow Between Recovery Level and Energy Level: An ESM Study

This study investigates the linkages between recovery at the beginning of the workday, flow state in the morning and energy level (i.e., exhaustion and vigor) at the end of the workday. Our research hypotheses used the effort recovery model and conservation of resources theory as a theoretical framework. We used an experience sampling method to collect data from 84 full-time employees. Participants received three survey links per workday during a two-week period. We employed hierarchical linear and structural equation modeling to test the hypotheses. The results show that the recovery level at the beginning of the workday benefits work flow in the morning and energy levels at the end of the workday. Higher recovery level at the beginning of the workday is negatively related to exhaustion and positively related to vigor at the end; recovery at the beginning is associated with work flow in the morning, and work flow is positively related to energy at the end of the workday. Additionally, work flow in the morning mediates the relationship between recovery level at the beginning and energy at the end of the workday. These findings reveal the importance of recovery process and the effects of work flow on employees’ energy.

Solving Complex-Valued Time-Varying Linear Matrix Equations via QR Decomposition With Applications to Robotic Motion Tracking and on Angle-of-Arrival Localization.

The problem of solving linear equations is considered as one of the fundamental problems commonly encountered in science and engineering. In this article, the complex-valued time-varying linear matrix equation (CVTV-LME) problem is investigated. Then, by employing a complex-valued, time-varying QR (CVTVQR) decomposition, the zeroing neural network (ZNN) method, equivalent transformations, Kronecker product, and vectorization techniques, we propose and study a CVTVQR decomposition-based linear matrix equation (CVTVQR-LME) model. In addition to the usage of the QR decomposition, the further advantage of the CVTVQR-LME model is reflected in the fact that it can handle a linear system with square or rectangular coefficient matrix in both the matrix and vector cases. Its efficacy in solving the CVTV-LME problems have been tested in a variety of numerical simulations as well as in two applications, one in robotic motion tracking and the other in angle-of-arrival localization.

Hubungan Religiusitas dan Interaksi Teman Sebaya dengan Perkembangan Moral Siswa Sekolah Menegah Atas Tarbiyah Islamiah Hamparan Perak

This article aims to examine the relationship between religiosity and peer interaction with the moral High School Students Tarbiyah Islamiah Hamparan Perak. This study uses a quantitative approach with multiple regression analysis analysis techniques. The population of this research is 140 students. The sampling technique used is purpsosive sampling, by taking a sample of 5% of the population so that the sample is 110 students and 30 students are experimental. This study uses three scales, namely the scale of religiosity, the scale of peer interaction and the scale of moral development. This study concludes (1) The existence of a positive and significant correlation between religiosity and moral development with (rx1y) of 0.541 means that it shows that religiosity contributes to moral development by 54.1%. (2) The existence of a positive and significant relationship between peer interaction and moral development with (rx1y) of 0.533 means that it shows a contribution to moral development of 54.1%. (3) There is a positive relationship between religiosity and peer interaction on moral development with a linear estimation regression equation model Y=77.762+0.216X1+0.340X2, which means that when these two variables are combined, they both contribute and significantly influence moral development

Sensitivity Analysis for Modeling of Cr(VI) Transfer From Soil to Surface Runoff

Heavy metal contamination in soil has become a serious environmental problem in China, and chromium is one of the major threats to human health. In order to better understand the transfer pattern of heavy metal hexavalent chromium from polluted sites into surface water, the influencing factors that affect solute transfer from soil into the surface runoff with linear and nonlinear adsorption equations based on a two-layer incomplete mixing model were analyzed in this study. The Quasi-Newton method was used to optimize model parameters by fitting with the experimental laboratory data of chromium (Cr(VI)) in surface runoff. The local sensitivity analysis and the Morris global sensitivity analysis approaches were used to assess the parameter importance of rainfall intensity p, the thickness of the mixing layer hmix, incomplete mixing parameter α and γ, the soil adsorption parameters, and the initial soil water content θ0. The study results showed that the optimized nonlinear models were better consistent with the experimental results than the linear adsorption equation model. The results of global sensitivity indicated that rainfall intensity p was the main factor influencing Cr(VI) transport from the soil into surface runoff. The hmix and the α in the two-layer model were vital parameters that influenced such transport processes. Moreover, the soil adsorption properties and the θ0 had the lowest effects on runoff Cr(VI) loss. The results indicate that for controlling pollution migration in surface runoff, it is essential to focus on the analysis of precipitation conditions and soil properties that control the thickness of the mixing layer and the degree of mixing.

Hubungan Panjang Berat dan Kondisi Habitat pada Dua Spesies Catfish di Sungai Barumun Kabupaten Labuhanbatu

Catfish is a demersal fish inhabiting the waters of the River. There are two species that are often caught in the Barumun River: the blacktip sea catfish (Piicofillis dussumieri Valenciennes, 1840) and the grey eel catfish (Plotosus canius Bleeker, 1858). Both of these species have economic value that is quite important for the coastal communities of Labuhanbatu Regency. Fishing gear used to take samples of fish in the form of: trap, gill nets, and fishing rods. All fish caught were then measured in total length using a ruler and their weight using analytical scales. Analysis of research data using the Linear Allometric Model (LAM) equation. Based on the results of the study the length relationship of blacktip sea catfish weight obtained values b = 32,38 and R2 = 0.95 and grey eel catfish obtained values b = 2,56 and R2 = 0.26. It was concluded that the long relationship ofblacktip sea catfish weight is allometric positive and grey eel catfish is allometric negative. The results of observations of water quality parameters for temperature (29-30ºC), brightness (0.5 – 0.8 m), current speed (0.8 – 0.9 m/s), salinity (5.1 - 15.3 ‰), pH (6), and dissolved oxygen (6.9 – 7.2 mg/L) and habitat conditions of both catfish species are still in accordance with quality standards for river waters.

Technological Innovation Outcomes: Does the Internal Ecosystem Play a Key Role?

This study empirically investigates the causal relationship that exist between innovators and internal ecosystem factors driving technological innovation among small and medium-sized enterprises (SMEs) across the European region using the linear equation model. Our analysis is based on firm-level panel data from the European Innovation Survey conducted by the European Union from 2011–2018 with 296 SMEs across Europe. The results show that, human resources, research systems, financial support, firm investments, linkages, and employment impact was positively related to technological innovation performance. However, the outcome of an innovation-free environment and sales impacts as contextual factors had an insignificant influence on SMEs’ innovation performance. The results imply that effective human resource approach coupled with good governmental policies are important factors that can increase SMEs’ innovation performance. Based on this study results, SMEs’ managers can provide effective and sustainable policies that would provide both direct and support roles on the main drivers of regional and economic development. The outcome of this research indicates that firms need to pay greater attention to external factors such as governmental policies governing SMEs, considering customers’ needs, product specification and ensuring that they deliver quality product to satisfy consumers.

Analisis Kompensasi dan Beban Kerja Serta Dampaknya Pada Kinerja Pegawai Medis Pada RSUD Bangkinang

RSUD Bangkinang is one of the institutions providing public health services. Medical personnel are the spearhead in providing health services to the community. Therefore, they are required to be professional in carrying out their duties so that the performance of medical personnel continues to increase. This research is necessary, because the division of tasks carried out is still not optimal and there there is often some untimely financial compensation, which may cause the low performance of the medical staff. The purpose of this study was to determine and analyze the effect of compensation and workload variables on the performance of medical employees with civil servant status at Bangkinang Hospital. Employees with the status of civil servants in the medical department at Bangkinang Hospital totaling 100 people, and all of them participated in this study. Hypothesis testing is done by using the F test and t test obtained from the multiple linear regression equation model. The conclusion of this study is that compensation and workload variables have a significant effect on the performance of medical employees with civil servant status at Bangkinang Hospital, both together and individually. From the results of the study it is also known that compensation has a dominant influence on the performance of medical personnel. Compensation and workload variables have a strong relationship with employee performance, which is 83.9%. Variations up or down employee performance by 69.8% is determined by the variable compensation and workload. Keywords: compensation, medical personnal, performance, regression, workload

Interaction influence of trading rules on the quality of stock markets: the price limit rule and day trading rule from the Shanghai and Shenzhen Stock exchanges

ABSTRACT The effect of each trading rule is not completely independent. From the perspective of market differentiation, we establish the linear simultaneous equation model to study the comprehensive influence of the price limit rule and the day trading rule on the quality of China’s stock market and investigate whether it is a synergistic or an anti-synergistic effect. To eliminate the influence of other factors before or after the reform of the trading rules, we establish the difference-in-difference simultaneous equation model for further testing. Results show that when the stock market is divided into the Shanghai A-share market, the Shanghai B-share market, the Shenzhen A-share market, and the Shenzhen B-share market, the simultaneous implementation of the price limit rule and T + 1 trading rule significantly reduces the liquidity and market efficiency of the stock market, significantly increases the volatility of markets, and does harm to the market quality. The interaction effect further aggravates the adverse impact of a single trading rule on the liquidity and market efficiency of the stock market, and weakens the beneficial impact of implementing a single trading rule to stabilize the market. The interaction effect has an anti-synergistic effect, and the results are robust.

Material and Structural Functionalization of Knitted Fabrics for Sportswear.

Comfort is an important quality criterion, especially for sportswear. It influences well-being, performance and efficiency. The necessary dissipation of heat and air flow, at high metabolic rates, must be designed and planned in advance. The influence of structure, density, mass and thickness of fabric were considered as well as yarn material composition, yarn linear density, yarn evenness and yarn hairiness. The influence of the mentioned parameters on thermal properties and air permeability was calculated. From the correlation analysis, it can be concluded that yarn’s linear density, yarn short fibers hairiness, and mass per unit area of knitted fabric has the greatest impact on heat resistance. The yarn linear density, the yarn hairiness of the longer protruding fibers, and the thickness of the knitted fabric have the greatest impact on air permeability. A statistically significant model of multiple linear regression equations was offered to predict the thermal comfort of knitted fabric.