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br Tarigan, Ernita Dewi
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Mathematics

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PERBANDINGAN PENGENDALIAN KUALITAS PRODUK WALL DISPLAY DENGAN DIAGRAM KENDALI D^2 DAN T^2 HOTELLING Harahap, Sherly Vitara; br Tarigan, Ernita Dewi; Sembiring, Pasukat; Pane, Rahmawati
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober (Progress)
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9584

Abstract

Quality control is the application of a statistical model of quality control to collect and analyze data to evaluate and monitor production results. Melia Frame Calligraphy is an agent and manufacturer of frames or frame bars and finished frameworks made from fiber and wood. The best-selling product is the wall display. Although wall displays are in high demand, they are also the most returned products due to defects since 2023. Based on observation data, it is calculated that the product defect data is quite high, with an average total of 34 defects per day. This study aims to detect the quality of wall display products with  (Mahalanobis Distance) and  Hotelling control charts at Melia Frame Calligraphy Trade Business. The results of this study found that the product experienced the most defects in October 2023 with a total defective product of 1009 units. By using the control diagram, 20 observations out of a total of 75 observations are outside the control limits, then by using the control diagram, 2 observations out of a total of 75 observations are outside the control limits. This shows that the wall display production process is not yet under control. These observations show that the  (Mahalanobis Distance) control chart has more sensitive control limits than the  Hotelling control chart control limits.
Analysis Of Mutual Fund Performance In Indonesia Using Robust Regression Doloksaribu, Arsella F; br Tarigan, Ernita Dewi; Syahmarani, Aghni; Darnius, Open; Hasibuan, Citra Dewi
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober (Progress)
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9595

Abstract

The Least Squares Method (MKT) is the best linear regression estimator if the classical assumption tests are met. However, if there are outliers in the data, this approach can provide inaccurate prediction results. Therefore, the purpose of this research is to overcome the inappropriate model due to outliers in variables that affect mutual fund performance in Indonesia. The variables in this study are risk level, inflation, fund size, turnover ratio, and cash flow. Robust regression is an approach designed to provide more accurate estimates without discarding observational data that indicates outliers. One of the estimation approaches is Least Trimmed Squares (LTS). This estimation minimizes the sum of squared residuals from h observations that are not considered outliers. The results showed that there were 10 outliers in the data, and the risk level variable had no effect on mutual fund performance, while the inflation, fund size, turnover ratio, and cash flow variables had a significant effect. So by comparing the  value and residual standard error of the two methods, it is found that the  value in the LTS method is greater than the MKT method, namely 0.589 0.273, and the residual standard error in the LTS method is smaller than the MKT method, namely 9.73 48.59. Therefore, it can be concluded that the Least Trimmed Squares method provides better estimation results and is more effective for handling outliers than the MKT method. 
ANALISIS METODE PLS-SEM DENGAN MODIFIKASI MODEL UTAUT2 PADA PENGGUNAAN CHATGPT OLEH MAHASISWA UNIVERSITAS SUMATERA UTARA Silalahi, Putri Mayang Syafira; br Tarigan, Ernita Dewi; Pane, Rahmawati; Suyanto, Suyanto
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober (Progress)
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9562

Abstract

The rapid advancement of technology in modern times has a great influence in various aspects of life, including in the world of education. One example is the presence of ChatGPT among students in learning activities. The use of ChatGPT has many benefits but the use of this technology must still be addressed wisely to avoid ethical issues, copyright and plagiarism. This study aims to determine what factors influence the use of ChatGPT by students of the University of North Sumatra in education. By using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) method with the variables used, namely the UTAUT2 model. The findings of this study state that 8 hypotheses of the relationship between variables tested in the study, of which 4 hypotheses of the relationship between variables are accepted and 4 hypotheses of the relationship between variables are rejected.
Co-Authors Aghni Syahmarani Doloksaribu, Arsella F Harahap, Sherly Vitara Hasibuan, Citra Dewi Open Darnius Pane, Rahmawati Pasukat Sembiring Silalahi, Putri Mayang Syafira Suyanto Suyanto