Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Alpha Epsilon Journal of Mathematics
Siti Khotijah
Universitas Annuqayah
Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Implementasi Metode Regresi Linear Berganda Dalam Memprediksi Santri Baru Di Pondok Pesantren Al-Falah Sumber Gayam Khalishatus Shafariyah; Siti Khotijah
Alpha-Epsilon: Journal of Mathematics Vol 1 No 1 (2025): January
Publisher : Department of Mathematics, Faculty of Mathematics and Scince, Universitas Annuqayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59005/aejm.v1i1.517

Abstract

Al-Falah Islamic Boarding School Sumber Gayam, Kec. Kadur, Kab. Pamekasan is one of the boarding schools that fluctuates in terms of the number of new students each year. Therefore, predictions are very necessary to find out the number of new students who will register in the following year. The aim is to help the committee for accepting new students to be ready to prepare the boarding facilities as well as possible. The multiple linear regression method is the method used in this research to predict future conditions using previous data and to determine whether or not there is an influence exerted by the independent variable on the dependent variable. Annual student alumni data, boarding school facilities, annual fees and data on outstanding students are variables that are thought to influence the number of new students in 2023-204 by calculating MAPE and RMSE errors. The results of the research obtained as many as 98 new students based on testing the r2, r, F test and t test based on the sig value. < 0.05 which was calculated manually and SPSS version 26 calculations. The results show that the variables studied have a significant effect on the number of new students registering in 20232024 with a MAPE accuracy of 0.02% and an RMSE accuracy of 0.66%, this shows that the ability of the forecasting model formed can be said to be good or accurate.
Prediksi Hasil Produksi Padi di Kabupaten Pamekasan Menggunakan Semi Average Anis Fitriyah; Siti Khotijah
Alpha-Epsilon: Journal of Mathematics Vol 2 No 1 (2026): January
Publisher : Department of Mathematics, Faculty of Mathematics and Scince, Universitas Annuqayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59005/aejm.v2i1.1090

Abstract

This study aims to predict the amount of rice production in Pamekasan Regency using the Semi Average method. The data used are secondary data obtained from the Central Bureau of Statistics (BPS) of Pamekasan Regency, covering the observation period from 2015 to 2024. The analysis process began with processing historical rice production data using the method, followed by an evaluation of forecasting accuracy using the Mean Absolute Percentage Error (MAPE). The results of the analysis indicate that the Semi Average method produces a forecasting pattern with a MAPE value of 46.62%, which falls into the fair category based on MAPE interpretation, indicating a moderate level of accuracy. The results of this study are expected to serve as a reference for agricultural sector planning, particularly in managing sustainable rice production in Pamekasan Regency.
Co-Authors Anis Fitriyah Khalishatus Shafariyah