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Journal : Alpha Epsilon Journal of Mathematics

Penerapan Algoritma Welch Powell Untuk Menyusun Jadwal Mata Kuliah Di IST Annuqayah Inda Arundani; Luluk Sarifah; Fiqih Rahman Hartiansyah
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.v1i1.518

Abstract

Graph coloring is the giving of color to certain objects in the graph. These objects can be nodes, edges, and regions. This study aims to look at the process and results of graph coloring using the Welch Powell Algorithm in the preparation of class schedules for the Mathematics and Biology Study Program, Faculty of Mathematics and Natural Sciences, Annuqayah Institute of Science and Technology. The type of research used is descriptive qualitative research. The object of research in this study is the list of lecturers, list of courses, lecture active hours, and the number of rooms used. Data analysis was carried out by modeling a list of lecturers with a list of courses into a graph and determining the minimum color in the coloring process using Welch Powell's algorithm. In this research, we know the performance of the Welch Powell algorithm in compiling schedules for each study program and combined scheduling. Based on the scheduling results, it can be concluded that the application of Welch Powell's algorithm for combined scheduling is more effective and more efficient to use than scheduling for each study program. In addition to not overlapping between courses, it can also save space.
Solusi Numerik Model Matematika Pada Kasus Kecanduan Media Sosial Tiktok Di Pondok Pesantren Annuqayah Latee II Menggunakan Metode Runge Kutta Siti Romlah; Muhammad Thahiruddin; Luluk Sarifah
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.v1i1.520

Abstract

TikTok social media is a medium that can develop users' creativity, but most users compete to express themselves due to frequently viewing content so that they are obsessed with creating content and continuously trying various content movements. This can result in an addiction to viewing or addiction to TikTok content movements. Modifying the TikTok social media addiction model is one of the objectives of this research, starting by distributing a questionnaire to 100 respondents. Next, a programming simulation was carried out using the Runge Kutta Butcher method with Python tools. With the results, the Runge Kutta Butcher method can provide high accuracy and is effective in solving the SEIIRS model. The population increased with an increase of 18 individuals exposed, indicating the possibility of movement of susceptible individuals. The decline in infected populations 1 and 2 shows that individuals in these populations are slowly becoming recovered individuals. Based on the findings of this research, it can be concluded that Santri PP Annuqayah Latee II had previously experienced TikTok addiction and would return to normal status (cured but vulnerable) on Day 200.
Peramalan Perbandingan Metode Exponential Moving Average dan Weighted Moving Average Dalam Peramalan Angka Kemiskinan Di Kabupaten Pamekasan: Perbandingan Metode Exponential Moving Average dan Weighted Moving Average Dalam Peramalan Angka Kemiskinan Di Kabupaten Pamekasan Eka Yanti; Luluk Sarifah
Alpha-Epsilon: Journal of Mathematics Vol 1 No 2 (2025): July
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.v1i2.803

Abstract

This study aims to predict the best method in a forecasting system using the Exponential Moving Average (EMA) and Weighted Moving Average (WMA) methods. In the simulation stage, the data used is the poverty rate data in Pamekasan Regency from 2015 to 2024 as actual data to predict the 2025 data. Meanwhile, the comparison process is carried out by looking at the accuracy level of each method based on the MSE and MAPE values. Based on the results of data simulations from the two methods tested, it is known that the Exponential Moving Average (EMA) and Weighted Moving Average (WMA) are suitable for predicting poverty rates in Pamekasan Regency, because the resulting MAPE value is between 20% -50%.
Prediksi Jumlah Stunting Kabupaten Pamekasan Menggunakan Metode Statistical Parabolic Iis Setiana; Luluk Sarifah
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

Abstract

Indonesia is a country that is included in the target of high stunting management in the world, so stunting remains a problem that needs to be addressed. For example, the number of stunting in Pamekasan Regency. Currently, Pamekasan Regency is included in the target of stunting management with a stunting prevalence of 25.1% covering 21 health centers from 13 sub-districts. The purpose of this study is to predict the number of stunting in Pamekasan Regency in 2018-2024 using the statistical parabolic method. Statistical parabolic is one method that is able to make predictions based on past data, then in this study used data on the number of stunting in 2018-2024 obtained from the Pamekasan Regency Health Office. After calculating the predicted number of stunting in 2018-2024 based on the MAPE value obtained the result of 5.45%. Therefore, it can be concluded that the statistical parabolic method is good to be used to predict the number of stunting in 2025-2026.