CREATING A LINEAR REGRESSION CURVE FOR LOI (LOSS OF IGNITION) TESTING PT SEMEN TONASA HOTMEAL USING X-RAY

As development progresses in Indonesia, the role of the industrial world is also experiencing rapid development. The company's ability to produce high quality products is one of the things that can support the company's long-term success. As the era progresses, the application of conventional technology in the industrial world begins to shift to an automatic model using computer devices. PT Semen Tonasa, especially in the Quality Control unit, there are still some sample tests that are carried out manually, so it takes a long time to carry out sample preparation to test the sample. If you calculate the average time needed to carry out the test to test the sample, it takes 60 minutes, which is wrong. one test is the LOI (Loss Of Ingnation) test. The aim of the research is to create a formula that is suitable for calculating LOI (Loss of Remembrance) specifically for hotmeal 05 and 10. The research was carried out using direct experimental methods and data processing using Microsoft Excel 2013 software. The research was carried out by directly taking raw materials in the form of clinker chunks and Kiln Feed in the factory area, then preparation and data processing were carried out. This research was conducted at PT Semen Tonasa, Quality Control Unit IV from April 1 2023 to June 30 2023. The results of this research are that a linear regression equation is obtained, namely y= 1.1824x-6.9094, then this equation is input into a computer device with the method name, namely Hotmeal_2023, to be used as a reference in working on Hotmeal samples more quickly. It is necessary to carry out research with more samples. Again, so that the value obtained on the computer is the same as the manual LOI calculation, and the cleanliness of the equipment in carrying out the analysis needs to be improved so that the sample is not contaminated by other dirt/dust.


Introduction
As development progresses in Indonesia, the role of the industrial world is also experiencing rapid development (Purba et al., 2021).The company's ability to produce highquality products is one of the things that can support the company's long-term success (Lasdi, 2017;Brata & Soediantono, 2022).PT Semen Tonasa is a cement industry that has the largest installed capacity in eastern Indonesia with an initial design capacity of 5,980,00 tons of cement per year, but the company has succeeded in increasing its production capabilities so that currently the capacity has reached 6,700,000 tons of cement per year (Soamole, 2022).The manufacture of cement at PT Semen Tonasa uses raw materials, namely clinker which is made from a mixture of clay and limestone, limestone and other additional materials (Effendi, 2018) (Zahidin & Rubianto, 2020).The cement manufacturing process involves several industrial tools, including; crusher, warehouse, belt conveyor, silo landing, kiln, cooler, mill, etc.The economy is currently developing very rapidly, along with the development of increasingly sophisticated science and technology (IPTEK) (Radiansyah, 2018;Fitri Mulyani, 2021).Thus, increasingly fierce competition between companies encourages each company to establish control over the quality of refrigerated production (Rasul, 2017).As the era progresses, the application of conventional technology in the industrial world begins to shift to an automatic model using computer devices (Fauzi et al., 2023).PT Semen Tonasa, especially in the Quality Control unit, still has some sample tests carried out manually, including the Blaine test, kiln feed and cement residue tests, moisture, and LOI (Loss of Ignition) so it takes a long time to carry out sample preparation to sample testing.The average time needed to carry out the test is calculated at 60 minutes (Fajri, 2021).One type of sample that is tested each shift is hotmeal which is the result of initial combustion at a temperature of 530-700 o C which occurs in cylones 5 and 10.This research aims to create a formula that is suitable for calculating LOI ( Loss Of Ignition) specifically on hotmeal 05 and 10 (Darmalaksana, 2020).The expected benefit of the research is for the factory where it is hoped that it will be able to provide an overview of the formula/formula in determining LOI (Loss of Ignition) so that it can save time and energy in carrying out sample analysis every day at PT Semen Tonasa Quality Control, the second expected benefit is for the author It is hoped that it will be able to increase the author's knowledge and experience in using software in everyday life, especially in the world of work, as well as increase the author's thinking power in finding solutions to problems that occur.

Research methods
Internship II will be held from April 1 2023 to June 30 2023 at the Tonasa factory, Pangkep Regency, South Sulawesi, Tonasa IV Quality Control Unit.

Data collection technique
The method for carrying out data collection for this special task is, among other things, through the interview method, namely a method carried out by asking the resource person (operator) directly to obtain data.Literature Study Method (literature study) is a method carried out by looking for various references from books, journals, etc. as a basis for analysis and making reports.The next method, namely the observation method, is a method carried out by making direct observations and measurements in the field.The final method, namely the discussion method, is a method that is carried out by discussing with many people in the field the possible main causal factors in the problem that occurs and the best way to solve the problem that can be applied later.

a. Creation of standard sample series
The standard sample series was made by varying the kiln feed and clinker to obtain an LOI range of 0.5-12%.

b. Homogenization
The first step is to weigh 5 kg of clinker and 5 kg of kiln feed using a container and scales, then grind the clinker to get a smaller size using a crusher, put the sample into the vessel to get a sample in very fine condition using a windmill.The third step, namely Put each sample into the mixing to get a more homogeneous sample for 2 hours.Then weigh the clinker and kiln feed samples according to the specified proportions then combine them in one container.After that, homogenize the mixture using a homogenizer for 30 minutes.Then put each sample into a plastic zipper that has been named after the sample in sequence.

c. Manual LOI Analysis
The first step is to weigh the empty Simplo and Duplo containers.Then weigh 1 gram of each sample simply and in duplicate.Next, put the sample in the furnace for 15 minutes, then put it in the desiccator for 10 minutes.Weigh the container + sample again using a scale.The final step is to calculate the LOI using the formula and record the results: The first step is to weigh 15 grams of each sample with 3 pills.Second, set the program on the HP-MP, namely program 7 for Hotmeal.Make sure the ring is on the conveyor belt and press the star mill and press.Then insert the sample into the HP-MP, wait until the sample comes out of the conveyor belt and spray with air to remove dirt on Creating A Linear Regression Curve For Loi (Loss Of Ignition) Testing Pt Semen Tonasa Hotmeal Using X-Ray Grenatha Lengke, Muhammad Apris Cam, Rosalia Sira Sarungallo 3717| P a g e the sample that has been ground and pressed.Insert the sample container into the XRD tool, set the program on the screen, click start on the screen and wait until the sample has finished analyzing, then record the results.

e. Xray Intensity Analysis
Weigh 15 grams of each sample with 3 pills, and set the program on the HP-MP, namely program 7 for Hotmeal.Make sure the ring is on the conveyor belt and press the star mill and press.Insert the sample into the HP-MP, wait until the sample comes out of the conveyor belt then spray with air to remove dirt on the sample that has been ground and pressed.Enter the sample in position number 22 in the X-ray tool.The next step is to set it on the computer (operational mode, click sample number 13, make sure the method "CaCO3 hot meal" make sure the sample number is correct, change the name according to the sample name, click start at the top), wait until the analysis results come out and record the results of the analysis in the form kbps.
f. Data Processing Data processing for this special task uses Microsoft Excel, namely by collecting data from each sample analysis in a table.Then the data is created in graphical form so that it is easy to read and draw conclusions from each work step carried out.The results of data processing will be further validated through experiments.

g. Initial Validation
The initial validation stage was carried out using the LOI equation formula that had been obtained at the data processing stage, then testing was carried out to ensure the accuracy of the formula in determining LOI.

h. Evaluation result
The evaluation results were carried out when the equation was obtained, namely y= 1.1824x-6.9094,this evaluation was carried out for 1 week (5 working days) and the results were close to the LOI calculation value manually (gravi).

A. Creation of Standard Sample Series
The composition comparison between clinker and Kiln Feed is 80%: 20%, this comparison aims to obtain an LOI range of 0.5-12%.The creation of a standard sample series can be seen in the table below.It can be seen that in determining the ideal sample weight, a proportion must be used that must match the clinker content to the Kiln Feed content.At this stage, the standard series was created 13 times to obtain a target LOI value of 0.5-12% with the sample weight remaining the same, namely 250 grams.

B. Manual LOI Analysis
Manual LOI testing is carried out as a basis for comparison between manual LOI values and LOI values using X-ray (Sentosa et al., 2018).The results of the manual LOI analysis are in the table below  2 it can be seen that the results of manual LOI calculation have difference slight difference between the target value with mark manual LOI calculation.From 12 samples 2 samples have a difference of 2-3 points from the target ie samples no. 2 and 3, meanwhile, sample number 7 results from manual LOI calculation is the same with a target of 7, for sample other has quite a difference Far off target, however, value still made reference.The manual LOI calculation value varies from the target because it is caused by different sample treatments.

C. CaCO3 XRD analysis
The results of CaCO3 analysis using XRD spectrophotometry can be seen in the table below.The results of the CaCO3 analysis used in each sample were analyzed (SETIOSOSARI, 2018).

Figure 1 LOI graph with CaCO content D. Xray Intensity Analysis
X-ray analysis was carried out to obtain the composition of the organic material content in the samples being analyzed (Sahdiah & Kurniawan, 2023).There were 12 samples used in this experiment and the results are in the table below.

Table 4 XRay intensity results
The calculation results of the Xray intensity analysis are graphed with the results of the CaCO3 XRD analysis in Table 4 above, so the results are as follows:  The results in the table above were then made into a graph with the LOI gravity values, the results are as follows:

Figure 3 Linearity graph between CaCO3 Xray vs LOI Gravi
The linear regression equation in the picture above, namely y= 0.4785x-0.1399,is used to calculate the LOI X-Ray value with the x value, namely CaCO3 X-Ray estimation so that the results are: Next step is to make a chart connection linearity between CaCO3 Xray intensity of LOI Gravi so that the result that is.

Figure 4 Linear graph between CaCO3 Xray intensity vs. LOI Gravi
After knowing the linear regression equation, the equation that will be tested on the computer is y = 50.191x-18.572.After the equation has been entered into the computer, the next step is to prepare the sample for testing manually and automatically using a computer.The results are in Table 7 below (Ariadi & Fithriasari, 2016).

Figure 2
Figure 2 Linear graph between intensity vs. CaCO3 XRD

Table 3 Results of CaCO3 analysis using an XRD tool
The linear regressive equation in the graph above, namely y= 104.89x-38.529, is used to calculate the estimated CaCO3 Xray value using the resulting value of the CaCO3 Xray intensity as the X variable, the results are in the table below.