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Journal : Unisda Journal of Mathematics and Computer Science (UJMC)

Analisis Data Hubungan Antar Variabel Pada Pengetahuan Swamedikasi Mustofani, Dian; Hariyani, Hariyani; Afif, Ahmad; Oktaviasari, Dianti Ias; Ariadhita, Bagus Yuli
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.6701

Abstract

Linear regression is a data analysis method that is for determine relation on the variables. One of the uses of this analysis is that can used to determine which independent variable policies should be increased or decreased. Regression analysis has two types, that is name simple linear regression analysis and multiple linear regression analysis. This research discusses the use of multiple linear regression analysis to determine which independent variables influence mothers' self-medication knowledge in treating fever in children, with known three independent variables and one dependent variable. The regression analysis in this research shows that the mother's education level has an influence on self-medication knowledge with a percentage influence value of 27.9%.
Model Antrian Servis Handphone Menggunakan Petri Net dan Aljabar Max-Plus Afif, Ahmad
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.6971

Abstract

The development of information and communication technology has made communication unlimited by distance and time. One of the latest information and communication technologies that has been developed is handphones. People's dependence on handphones cannot be prevented because of the high activity of handphones, which used to be just a more complex means of communication nowadays, that is, as a media of information and help learning up to work. Problems arise when the handphones are damaged. Consumers' ignorance of service procedures and wait times for handphone service has caused consumers to be lazy with handphone services. In order to solve the problems that occurred, built a model petri net that describes the handphone service frontline with the approach of algebra modeling max-plus to determine the length of each consumer performing the frontline and time arrival of every consumer leaving the service. Petri net model on the system of handphone services there are 9 places and 11 transitions. Whereas the results of modeling the max-plus algebra obtained the matrix equation to estimate the service time and the duration of the process service handphone service until completed.
Aplikasi Petrinet Pada Sistem Antrian Servis Produk Barang Afif, Ahmad
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 2 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i2.8645

Abstract

Queueing systems are a critical element in the operational management of service processes for goods, such as repairs, warranty claims, or product replacements. Efficient queue management can enhance productivity, reduce customer waiting times, and provide a better service experience. This study aims to apply petri nets to model the queueing system for product service processes. The resulting model, comprising five places and six transitions, was evaluated through simulation using the PIPE software and further analyzed with max-plus algebra. This analysis produced matrix equations capable of estimating service times and the duration of the queueing process until completion, thereby expected to improve the efficiency and quality of service in the queueing system.