Matematika Sains: Jurnal Ilmu Matematika
Pure Mathematics, Applied Mathematics and Computation, Statistics and Probability, and Mathematics Education : Pure Mathematics, include analysis and applied analysis, algebra and applied algebra, logic, geometry, differential equations, dynamical system, fuzzy set, and fuzzy logic, etc. Graph and Combinatorics, include all areas in graph theory, combinatorics, number theory, coding theory, cryptography, etc. Applied Mathematics and Computation, include mathematical modeling (including but not limited to mathematical physics, mathematical biology, mathematical medicine), control theory and automation, optimization, operational research, neural network, data science, machine learning, etc. Statistics and Probability, include all areas in statistics and probability, finance mathematics, biostatistics, actuary, etc. Realistic Mathematics Education (RME). The journal receives the results of research on teaching and learning in RME-based mathematics education. Design or Development Research in Mathematics Education. includes of validation studies or development studies in mathematics education, with a comprehensive description and analysis of each stage. PISA Task. Authors can submit their articles on the evaluation of the education system by measuring the scholastic performance of school students about math, science, and students reading activities as well as measuring their math literacy. Mathematics Ability, includes the following abilities: reasoning, connection, communication, representation, and problem solving.
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34 Documents
<![CDATA[PEMODELAN VECTOR AUTOREGRESSIVE (VAR) PERTUMBUHAN LALU LINTAS KENDARAAN RUAS TOL CIPALI PERIODE 2015-2019 (Studi Kasus : Kendaraan Golongan Gardan 3 dan 4) ]]>
<![CDATA[Sanjani, Ahmad Afdul Kohar]]>;
<![CDATA[Saputra, Andri]]>;
<![CDATA[Mirtawati, Mirtawati]]>
<![CDATA[ Matematika Sains Vol. 3 No. 2 (2025): Jurnal Matematika Sains Volume 3 Nomor 2 Tahun 2025 ]]>
Publisher : <![CDATA[Fakultas Sains Dan Teknologi ]]>
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DOI: 10.34005/ms.v3i2.5405
<![CDATA[Pembangunan jalan Tol Cikopo – Palimanan, atau disingkat dengan nama Tol (CIPALI) memiliki panjang 116 kilometer yang menghubungkan daerah Cikopo, Kalijati, Subang, Cikedung, Kertajati, Sumberjaya, dan Palimanan. Dalam pembangunan infrastruktur di Indonesia hubungannya sangat erat terhadap nilai pertumbuhan ekonomi, bahkan memiliki timbal balik yang positif. Semakin tinggi pertumbuhan infrastruktur suatu negara, berarti semakin mudah dan efisien dalam moda transportasi jual beli jalur darat. Berkaitan dengan hal tersebut perlu dilakukan peramalan untuk mengetahui jumlah volume lalu lintas kendaraan ruas Tol Cipali yaitu dengan menggunakan pemodelan Vector Autoregressive (VAR). Model VAR dapat digunakan untuk meramalkan data deret waktu yang lebih dari satu variabel. Model Vector Autoregressive (VAR) memiliki estimasi yang sederhana yaitu dengan Ordinary Least Square (OLS) dan dapat dibuat model terpisah untuk masing-masing variabel endogen. Aplikasi model VAR merupakan salah satu model yang digunakan untuk menentukan perbandingan antara golongan kendaraan dalam pertumbuhan lalu lintas ruas Tol Cipali. Model VAR sangat berguna dalam memahami adanya hubungan timbal balik antara variabel-variabel pertumbuhan lalu lintas terhadap pembangunan ekonomi di Indonesia. Dengan adanya pengontrolan data harian diharapkan pemerintah dan pihak perusahaan dapat meningkatkan pelayanan yang lebih baik lagi dalam pembangunan infrastruktur di Indonesia serta terciptanya ekonomi yang berkembang, adil dan makmur.]]>
<![CDATA[ANALISIS STATISTIK ANGKA PERCERAIAN DI KABUPATEN BEKASI TAHUN 2025 MENGGUNAKAN METODE ARIMA ]]>
<![CDATA[Darmawan, Dery]]>;
<![CDATA[Saputra, Andri]]>;
<![CDATA[Mirtawati, Mirtawati]]>
<![CDATA[ Matematika Sains Vol. 3 No. 2 (2025): Jurnal Matematika Sains Volume 3 Nomor 2 Tahun 2025 ]]>
Publisher : <![CDATA[Fakultas Sains Dan Teknologi ]]>
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DOI: 10.34005/ms.v3i2.5406
<![CDATA[Divorce cases in Bekasi Regency have shown an increasing trend in recent years. Contributing factors include economic pressure, poor communication, and the influence of social media. This study aims to forecast the divorce rate in Bekasi Regency using the Autoregressive Integrated Moving Average (ARIMA) method. The data used are monthly divorce rates from January 2020 to May 2025. The analysis shows that the best model is ARIMA (1,0,6), selected based on the smallest AIC and SC values and passing diagnostic tests (autocorrelation, normality, and stability). The forecasting accuracy rate is 22.96%, which can be categorized as quite good. Based on this model, the ARIMA (1,0,6) model is suitable for predicting divorce rates and can serve as an initial reference for policymakers.]]>
<![CDATA[ANALISIS PENGARUH PELATIHAN PROGRAM SEKOLAH PENGGERAK TERHADAP HASIL PELATIHAN (STUDI KASUS: PRE DAN POST TEST PROVINSI JAWA BARAT) ]]>
<![CDATA[Revyanza, Avinda Rizky]]>;
<![CDATA[Sofiyat, Ali Ilham]]>;
<![CDATA[Saputra, Andri]]>
<![CDATA[ Matematika Sains Vol. 3 No. 2 (2025): Jurnal Matematika Sains Volume 3 Nomor 2 Tahun 2025 ]]>
Publisher : <![CDATA[Fakultas Sains Dan Teknologi ]]>
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DOI: 10.34005/ms.v3i2.5408
<![CDATA[This study employed non-parametric analysis using the Wilcoxon Signed Rank test and Spearman correlation test. This study aimed to analyze the effect of the School Mover Program training on training outcomes in West Java Province, focusing on the evaluation of pre-test and post-test results. The population used was 619 respondents in West Java Province, with a sample size of 119 respondents. Data were collected by the Ministry of Education, Culture, Research, and Technology through a 21-question questionnaire and processed using SPSS version 25 software. The results showed that the pre-test and post-test data were not normally distributed, with a significance value (Sig.) of 0.000 for each. The Wilcoxon Signed Rank test indicated a significant difference between pre-test and post-test scores, with 104 of the 119 respondents experiencing an increase in their scores after the training. Furthermore, a Spearman correlation analysis showed a weak relationship between pre-test and post-test scores, with a correlation coefficient of 0.247 and a 2-tailed significance value of 0.011. The results of this study concluded that the School Mover Program training was effective in improving participant competency. This research is expected to provide useful information for improving the effectiveness of future training programs.]]>
<![CDATA[IMPLEMENTASI ALGORITMA DJIKSTRA DALAM MENENTUKAN RUTE TERCEPAT CIKUNIR-JATIWARINGIN MENGGUNAKAN KENDARAAN RODA DUA ]]>
<![CDATA[Nurhaliza, Alvia]]>
<![CDATA[ Matematika Sains Vol. 3 No. 2 (2025): Jurnal Matematika Sains Volume 3 Nomor 2 Tahun 2025 ]]>
Publisher : <![CDATA[Fakultas Sains Dan Teknologi ]]>
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DOI: 10.34005/ms.v3i2.5412
<![CDATA[Kendaraan adalah sarana angkut di jalan yang terdiri atas kendaraan bermotor dan tidak bermotor. Sebagai seorang mahasiswa yang setiap hari harus pulang dan pergi dari rumah menuju kampus, membuat saya terkadang berfikir dari beberapa jalur yang bisa saya tempuh, jalur manakah yang dapat mengefisienkan waktu ?. Jalur dari Jalan Cikunir menuju Jatiwaringin bisa ditempuh hanya menggunakan kendaraan pribadi, baik roda dua maupun roda empat. Angkutan umum di daerah Cikunir sendiri sudah tidak ada, maka dari itu kendaraan roda dua adalah kendaraan paling efesien yang bisa digunakan menuju tempat yang kita tuju. Meskipun begitu ada beberapa jalur yang bisa ditempuh untuk menuju Universitas Islam As Syafi’iyah- Jatiwaringin dari Jalan Cikunir. Berdasarkan pengalaman saya, penelitian ini membahas bagaimana algoritma djikstra digunakan untuk membantu dalam menentukan jalur/rute tercepat agar waktu di jalan bisa lebih efesien.]]>
