This study aimed to determine the impact of socio-economic status on the performance at SMP Negeri 2 Parigi, Gowa Regency. This study uses a correlational with a quantitative approach. The population in this study was SMP Negeri 2 Parigi teachers in Gowa Regency, totaling 18 teachers, Collection technique data by questionnaire. Data processing techniques using SPSS t test, namely for looking for a correlation between the variables X and Y. In calculating the hypothesis obtained value Sig 0.031. Data collection techniques through questionnaires. These results indicate that the Sig value is less than 0.05 (0.031 less than 0.05). This means that the hypothesis proposed by the researcher is accepted, namely there is positive and significant influence in the study entitled "Status Influence Socio-Economy on the Performance of Economics Teachers in SMP Negeri 2 Parigi can be tested the truth. Thus it can be concluded that socioeconomic status is very influential and significant on teacher performance. In the sense that this research able to answer the truth of the hypothesis proposed.
This linear operation is one way to improve image quality using contrast stretching and sobel methods. The processed image has a higher contrast value so that it can produce new information. This study aims to apply the contrast stretching method to improve the quality of coal images in JPEG format. Based on the test results, the average value of coal variance has increased. This result proves that contrast stretching causes the spread of RGB values to be even. The even distribution of RGB values causes the coal image to have better contrast than the original image before the repair. Where the results of the study found that the quality of coal was obtained based on the level of calorie content contained in coal, the smaller the calorie content, the quality of the stone was very good
In the surveyed 'south Indian states' I t was found that cereal Intake per child was found to be 136 gm., and pulse intake was found to be 10gm. The oonsLlmption of vegetables and fruits was round to be Jow. Milk consumption was also very low. Fish consumption was found to be 35 gm The intake of nutrients was also tower than the RDA,
Given the many factors that affect coal bursts as well as complex nonlinear relationships, this study analyzes the main factors that affect coal bursts in coal seams. Central Sulawesi Province. Using NN algorithms to predict coal bursts. This algorithm uses factor analysis to subtract the attributes of the original high-dimensional sample and obtains three common factors to maintain the correlation characteristics of 82.227% of the original data that had 10 sets. factors affecting coal burst rates can be used as training datasets as well as the last five datasets used as testing data and inputted into the rapid miner application to support NN algorithms to predict results. By comparing the prediction results where the NN algorithm has a non-explosion threshold value of 3.194% and an explosion threshold value of -3.230% and is more suitable for predicting coal burst explosions.
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