Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Journal of Social Research
Rachmat Rachmat
Universitas Pejuang Republik Indonesia (UPRI)
Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Coal Spray Rate Prediction Based on Factor Analysis and Neural Network (NN) Algorithm Hasni Kasim; Muh. Yusuf; Haslinda Haslinda; Rachmat Rachmat; Muh. Fahmi Basmar
Journal of Social Research Vol. 2 No. 5 (2023): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v2i5.830

Abstract

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.
Linear Operation to Quality Improvement Coal Image Using Contrast Stretching and Sobel Muh. Yusuf; Hasni Kasim; Haslinda Haslinda; Rachmat Rachmat; Muh. Fahmi Basmar
Journal of Social Research Vol. 2 No. 5 (2023): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v2i5.832

Abstract

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
Co-Authors Haslinda Haslinda Hasni Kasim Hasni Kasim Muh. Fahmi Basmar Muh. Yusuf Muh. Yusuf