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Prediction of seawater salinity based on comparison of truncated spline estimators, Fourier Series and Kernel Faisol, Faisol; Mardianto, M. Fariz Fadillah; Yudistira, Ira; Yulianto, Tony; Hasanah, Sarmiatul
Journal of Natural Sciences and Mathematics Research Vol. 9 No. 1 (2023): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

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Abstract

Salinity is one of the factors that affect salt production. Salinity is defined as the level of saltiness or too much salt in water. The salt in question is a variety of ions dissolved in water, including table salt (NaCl). The higher the level of NaCl contained, the better the quality of the salt formed. This low quality causes Indonesia to import salt, both consumption salt and industrial salt. Because most of the quality of salt still does not meet the criteria of SNI. For this reason, it is necessary to predict the salinity of seawater to help determine the next steps or policies in improving the quality of salt in Indonesia, especially in the Madura area. This research is examined in the form of a nonparametric regression curve estimator with a truncated spline estimator approach, Fourier series and kernel. From the comparison results, the best model for predicting seawater salinity is the estimator of the Fourier series base sine cosine with an oscillation parameter (k) of 2 with a GCV value of 5.017987 and MSE and a coefficient of determination of 0.06299933 and 94.64373%. So the prediction results obtained in this study are close to accurate with MAPE values of 0.07225208%, MSE of 0.0001441417 and coefficient of determination of 99.99%.
Analisis Chi Square Untuk Mengetahui Hubungan Antara Karakteristik Konsumen Dengan Sikap Konsumen Fathorrozi Ariyanto; Tony Yulianto; Jamilatul Isti’adah
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 11 No 1 (2025): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v11i1.9961

Abstract

Aprilia Handmade is a unique brand, handicraft, creative and others. Consumer priorities towards products are influenced by their attitudes that influence purchases and tight competition. This study aims to determine whether there is a relationship between consumer characteristics and consumer attitudes towards fashion products (Case study at Aprilia Handmade Sumenep). Data collected using questionnaires, observations, and documentation, with the population being consumers who have visited or buyers at Aprilia Handmade Sumenep, where the sampling technique was carried out with a purposive sampling method with a sample size of 100 respondents. The data analysis method uses Contingency Coefficient Analysis to relate the relationship between products, promotions, prices, and purchasing decisions. From the analysis, it was obtained that the quantitative results using Chi Square X2 analysis were: Products with a value of X2 = 415, Promotions with a value of X2 = 4.589, Prices with a value of X2 = 0.671, and Purchase decisions with a value of X2 = 1.523. From manual calculations, the same results were obtained using SPSS window 20.0. The results of the study indicate that between products, promotions, prices, and purchasing decisions have a significant relationship with consumer attitudes towards fashion products. This is indicated by the results of the interpretation of the contingency coefficient which is quite strong or quite good.