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Alpha Epsilon Journal of Mathematics
Published by Universitas Annuqayah
ISSN : -     EISSN : 30895626     DOI : https://doi.org/10.59005/aejm.v1i1
Core Subject : Education,
Mathematics
Alpha Epsilon Journal of Mathematics is an academic journal published by the Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Universitas Annuqayah. The journal is published twice a year, in January and July. Alpha Epsilon Journal of Mathematics is open access, allowing anyone to freely access and download the published articles. This journal has a broad focus and scope within the field of mathematics and related sciences, including algebra, real analysis, applied mathematics, computation, operations research, probabilistics, stochastic processes, and graph theory. Each article published in the Alpha-Epsilon Journal of Mathematics undergoes a rigorous review process by competent reviewers in the field. This process ensures that the published research meets high-quality standards and provides significant contributions to the advancement of science. With a dedication to disseminating knowledge and innovation in the field of mathematics, Alpha Epsilon Journal of Mathematics is committed to supporting researchers and academics in publishing their research results to the global community.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 4 Documents
 1 
Search results for , issue "Vol 1 No 2 (2025): July" : 4 Documents clear
Cluster Perbandingan Ward dan Weighted Linkage dalam Pengelompokan Kecamatan Berdasarkan Data Guru PNS dan Non PNS di Kabupaten Pamekasan: Perbandingan Ward dan Weighted Linkage dalam Pengelompokan Kecamatan Berdasarkan Data Guru PNS dan Non PNS di Kabupaten Pamekasan Sibrul Choir; Tony Yulianto
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.v1i2.613

Abstract

Perkembangan dunia pendidikan tidak terlepas dari sinergi antara tiga pihak utama, terutama guru yang menjadi penggerak utama kemajuan pendidikan. Mengingat peran sentralnya, keberadaan guru yang kompeten—baik yang bersertifikasi sebagai Pegawai Negeri Sipil (PNS) maupun non-PNS—sangat penting dalam mendorong kemajuan pendidikan nasional. Penelitian ini bertujuan untuk mengelompokkan kecamatan-kecamatan di Kabupaten Pamekasan berdasarkan jumlah guru PNS dan non-PNS pada jenjang Taman Kanak-Kanak (TK), Sekolah Dasar (SD), dan Sekolah Menengah Pertama (SMP) tahun 2023. Dua metode klasterisasi hierarkis, yaitu Ward Linkage dan Weighted Linkage, digunakan untuk melakukan pengelompokan wilayah. Evaluasi kualitas hasil klaster dilakukan menggunakan nilai Silhouette Coefficient (SC).
Peramalan Peramalan Persentase Penduduk Miskin (PPM) Di Kabupaten Pamekasan Menggunakan Model Statistik Time Series Dengan Metode Autoregressive Integrated Moving Average (ARIMA): Peramalan Persentase Penduduk Miskin (PPM) Di Kabupaten Pamekasan Menggunakan Model Statistik Time Series Dengan Metode Autoregressive Integrated Moving Average (ARIMA) Nurul Jannah; Amaliyatul Hasanah
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

Abstract

Kemiskinan merupakan salah satu masalah yang kompleks di Indonesia termasuk di kabupaten Pamekasan, karena tingkat kemiskinan akan mempengaruhi salah satu indikator keberhasilan suatu negara. Berdasarkan permasalahan tersebut, penelitian ini bertujuan untuk memprediksi persentase penduduk di kabupaten Pamekasan pada 3 tahun mendatang. Data yang digunakan adalah data time series persentase penduduk miskin di kabupaten Pamekasan dari tahun 2010 sampai tahun 2024. Model ARIMA yang digunakan adalah ARIMA (0,3,1) yang dipilih berdasarkan kriteria RMSE, MAE, dan MAPE. Hasil penelitian menunjukan bahwa model ARIMA dapat memprediksi persentase penduduk miskin dengan baik. Peramalan untuk tahun 2025 menunjukkan bahwa persentase penduduk miskin diperkirakan akan menurun menjadi 12,82%, pada tahun 2026 menjadi 11,91%, dan pada tahun 2027 menjadi 10,74% dengan nilai MAPE adalah 4,795%, nilai MAE adalah 0,695, dan nilai RMSE adalah 1,089% yang berarti memiliki tingkat keakuratan peramalan yang sangat baik karena nilai MAPE < 10% dan nilai RMSE tergolong kecil. Hasil penelitian ini dapat digunakan sebagai acuan untuk perencanaan kebijakan pemerintah dalam pengentasan kemiskinan di kabupaten Pamekasan.
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%.
Optimalisasi Profit Penjualan Dengan Linear Programming Melalui Metode Simpleks Menggunakan Qm For Windows (Studi Kasus UD. Hasil Laut Prima Desa Prenduan) Alifatul Fuaddiyah; Fiqih Rahman Hartiansyah; Moh. Wasil
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.v1i2.1084

Abstract

This study aims to determine the right combination of resources in order to obtain the maximum amount of production to obtain optimal profits in the UD industry. Prima Sea Results Prenduan village. The analysis used is Linear programming through simplex method using Qm for Windows application. In this study there are 3 decision variables and 8 constraint functions. The decision variables used are jumbo, medium and stick rengginang. The constraints in this study are the raw materials used in the processing of rengginang. The results of this study indicate that the production and profits obtained are still not optimal, to achieve optimal profits, it must produce 12 pcs of rengginang stick with optimal profits reaching Rp. 2,435,616.00.

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