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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.
Modeling the Spread of Hepatitis B Disease from the SEIR Model in East Java Using RKF 45 Sakinun Na'malia; Faisol Faisol; Tony Yulianto
Tensor: Pure and Applied Mathematics Journal Vol 6 No 2 (2025): Tensor: Pure and Applied Mathematics Journal
Publisher : Department of Mathematics, Faculty of Mathematics and Natural Sciences, Pattimura University, Ambon, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tensorvol6iss1pp1-12

Abstract

Hepatitis B is an infectious disease that has a major impact on public health, especially in East Java Province with a high prevalence of cases. This study aims to model the spread of Hepatitis B using the SEIR model (Susceptible, Exposed, Infected, Recovered) and solved numerically with the Runge-Kutta Fehlberg method (RKF45). Simulation results for 10 years showed that the susceptible population decreased from to individuals, while the exposed compartment increased from to . The infected population peaked at around individuals in year 2 and decreased to individuals, while the cured population continued to increase until it reached at the end of the period. The SEIR model with the RKF45 method proved effective in describing the dynamics of the spread of Hepatitis B mathematically and can be utilized as a predictive tool in supporting public health policy.
Comparison Of Moving Average Methods For Forecasting Recommendation Letters By Licensing Type In Pamekasan Regency Ani Alfiya Fahad; Kuzairi; Tony Yulianto
Journal of Studies in Academic, Humanities, Research, and Innovation Vol. 3 No. 1 (2026): Vol 3 No 1 June 2026
Publisher : Ponpes As-Salafiyyah Asy-Syafi'iyyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71305/sahri.v3i1.264

Abstract

Recommendation letters play an important role in various aspects of life, such as applying for assistance, business permits, and support for social activities. This letter serves as a means of providing official support from the authorities to individuals or groups in need, whose numbers need to be predicted for sustainable management. The forecasting method that is widely used is Moving Average, and in this study, In this study, predictions of the number of issued recommendation letters from 2021 to 2024 were carried out using the single moving average, exponential moving average and weighted moving average methods. The results of the study showed that the single moving average method was proven to be the best method with a MAPE value of (43.8073), followed by the exponential moving average method with a MAPE value of (47.0741), and the weighted moving average with a MAPE value of (47.0741). So the forecasting method that is considered feasible is the single moving average method as shown by its MAPE range value. Thus, the single moving average method is determined to be the best forecasting method for predicting future recommendation letter issuance.