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All Journal Journal of the Indonesian Mathematical Society Journal of Mathematical and Fundamental Sciences Journal of Engineering and Technological Sciences Indonesia Symposium on Computing KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Desimal: Jurnal Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Limits: Journal of Mathematics and Its Applications Jurnal Matematika UNAND Journal of Research in Mathematics Trends and Technology Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun MATHunesa: Jurnal Ilmiah Matematika Jurnal Siger Matematika Jurnal Matematika Integratif BACA: Jurnal Dokumentasi dan Informasi Integra: Journal of Integrated Mathematics and Computer Science Limits: Journal of Mathematics and Its Applications
Aang Nuryaman
Universitas Lampung
Astronomy Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Comparison of Naïve Bayes and Random Forest Models in Predicting Undergraduate Study Duration Classification at the University of Lampung Hestina P., Shelvira; Widiarti; Nuryaman, Aang; Usman, Mustofa
Integra: Journal of Integrated Mathematics and Computer Science Vol. 1 No. 3 (2024): November
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20241317

Abstract

This study aims to compare the performance of the Naïve Bayes and Random Forest classification algorithms in predicting the study duration of undergraduate students in the Mathematics Study Program at the University of Lampung. The dataset consists of 537 graduation records from 2020–2024. The research steps include data preprocessing, data partitioning (train-test split and k-fold cross validation), model building, and evaluation using a confusion matrix. The results show that the Random Forest algorithm achieved the highest accuracy of 94.44%, outperforming Naïve Bayes which reached a maximum accuracy of 92.59%. These findings suggest that Random Forest is more effective for classifying student study durations. These findings suggest that Random Forest is more effective for classifying student study durations.
Pelatihan LaTeX Menggunakan Overleaf untuk Meningkatkan Kemampuan Penulisan Karya Ilmiah bagi Dosen di Pringsewu Fitriani, Fitriani; Faisol, Ahmad; Nuryaman, Aang; Kurniasari, Dian; Utami, Bernadhita Herindri Samodera
Jurnal Pengabdian Kepada Masyarakat (JPKM) TABIKPUN Vol. 5 No. 3 (2024)
Publisher : Faculty of Mathematics and Natural Sciences - Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpkmt.v5i3.184

Abstract

Keunggulan LaTeX telah menjadikannya sebagai standar dalam penulisan karya ilmiah. Saat ini, sebagian dosen belum dapat menggunakan LaTeX sehingga diperlukan pelatihan penggunaan Latex bagi Dosen di Pringsewu Lampung. Kegiatan ini bertujuan untuk meningkatkan kemampuan penulisan karya ilmiah bagi para Dosen. Kegiatan ini dilaksanakan di Institut Bakti Nusantara (IBN) Pringsewu dengan metode ceramah interaktif dan praktik langsung menggunakan Overleaf. Keuntungan menggunakan overleaf adalah peserta tidak perlu mengunduh aplikasi untuk menjalankan LaTeX. Pada sesi terakhir, beberapa peserta mempresentasikan hasil kerjanya. Selanjutnya, peserta diberikan kuesioner mengenai tingkat pemahaman peserta terhadap materi yang diberikan. Kegiatan ini diikuti oleh 34 dosen di Pringsewu. Berdasarkan hasil kuisioner, sebanyak 76,47% peserta memahami materi dengan sangat baik, 20,59% memahami dengan baik dan 2,94% cukup memahami materi yang diberikan. Selain itu, sebanyak 97,06% peserta tertarik menulis artikel menggunakan LaTeX.
Simulasi Jumlah Klaim Agregasi Berdistribusi Poisson Dengan Besar Klaim Berdistribusi Gamma dan Rayleigh Rudi Ruswandi; Aang Nuryaman; Subian Saidi
Limits: Journal of Mathematics and Its Applications Vol. 17 No. 2 (2020): Limits: Journal of Mathematics and Its Applications Volume 17 Nomor 2 Edisi De
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

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Abstract

A claim is a transfer of risk from the insured to the guarantor. Claims that occur individually are called individual claims, whereas collections of individual claims are called aggregation claims in a single period of vehicle insurance. Aggregation claims consist of a pattern of the number and amount (nominal value) of individual claims, so that the model of aggregation claims is formed from each distribution of the number and amount of claims. The distribution of claims is based on the probability density function and the cumulative density function. One method that can be used to obtain a claim aggregation model is to use convolution, which is by combining the distribution of the number of claims and the distribution of the amount of claims so that the expected value can be obtained to predict the value of pure premiums. In this paper, aggregation claim modeling will be carried out with the number of claims distributed Poisson and the amount of claims distributed Gamma. As comparison, we compare it with claim amount distributed Rayleigh. By using VaR (value at risk) and MSE (Mean Square Error) indicators, the results of the analysis show that the Rayleigh distribution is better used for distributing data that has extreme values.
ON THE UPPERBOUND OF THE LOCATING CHROMATIC NUMBERS OF THE AMALGAMATION OF PATHS AND ITS BARBEL GRAPH AKMAL, AKMAL; Asmiati, Asmiati; NURYAMAN, AANG
Jurnal Matematika UNAND Vol. 14 No. 4 (2025)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.14.4.304-310.2025

Abstract

2002. Bilangan kromatik lokasi suatu graf merupakan perpaduan dari pewarnaan titik dan dimensi partisi graf\cite{C}. Misalkan $c$ suatu pewarnaan titik pada graf $G$ dengan $c(u)\ne c(v)$ untuk $u$ dan $v$  bertetangga di $G$. Misalkan $C_i$ himpunan titik-titik yang diberi warna $i$ dan $\Pi = \{C_1, C_2,\dots, C_k\}$ merupakan himpunan partisi dari $V(G)$. Kode warna $c_\Pi (v)$ dari $v$ adalah $k$-pasangan terurut $(d(v,C_1),d(v,C_2),\dots,d(v,C_k)$ dengan $d(v,C_i)=min\{d(v,x)|x\in C_i\}$ untuk $1\le i\le k$. Jika setiap titik di $G$ mempunyai kode warna yang berbeda, maka $c$ disebut pewarnaan lokasi dari $G$. Nilai terkecil $k$ sedemikian sehingga $G$ mempunyai pewarnaan lokasi disebut bilangan kromatik lokasi graf $G$. Amalgamasi dari $n\ge3$ buah graf lintasan $(P_m,m\ge3)$ dinotasikan dengan $_nP_m$  diperoleh dengan cara menyatukan satu titik dari setiap graf lintasan $P_m$. Graf barbel dari amalgamasi  lintasan diperoleh dengan menghubungkan dua jiplakan dari graf amalgamasi lintasan $_nP_m$, yang dihubungkan oleh sebuah sisi dinotasikan dengan $B(_nP_m )$. Batas atas bilangan kromatik lokasi graf amalgamasi lintasan untuk $m,n\ge3$ adalah $\lceil \sqrt{n} \ \rceil +1$ dan $\lceil \sqrt{n} \ \rceil +2$ untuk graf barbelnya.
IMPLEMENTASI METODE BACKPROPAGATION NEURAL NETWORK DALAM MERAMALKAN TINGKAT INFLASI DI INDONESIA Wiranto, Ahmad Rizki; Setiawan, Eri; Nuryaman, Aang; Usman, Mustofa
MATHunesa: Jurnal Ilmiah Matematika Vol. 11 No. 1 (2023)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v11n1.p8-16

Abstract

Peramalan merupakan upaya dalam memperkirakan sesuatu di masa depan berdasarkan pada pola data atau informasi di masa lalu. Autoregressive Integrated Moving Average (ARIMA), Exponential Smoothing, dan Seasonal Autoregressive Integrated Moving Average (SARIMA) merupakan beberapa metode yang sering digunakan dalam peramalan data deret waktu. Namun, metode tersebut memiliki kelemahan yaitu data yang digunakan harus stasioner serta akurasi yang dihasilkan kurang baik. Untuk mengatasi kelemahan tersebut, peneliti banyak yang menerapkan metode Jaringan Syaraf Tiruan salah satunya Backpropagation Neural Network. Metode Backpropagation Neural Network sangat baik digunakan dalam peramalan bidang ekonomi. Masalah ekonomi di Indonesia yang sampai saat ini masih menjadi permasalahan besar adalah inflasi. Dalam kajian ini, dilakukan peramalan inflasi di Indonesia menggunakan data inflasi periode Januari 2000 hingga Oktober 2022. Hasil yang diperoleh menunjukan pembagian data terbaik yaitu 50% training dan 50% testing dengan menggunakan fungsi aktivasi sigmoid biner didapatkan arsitektur terbaik yaitu 12-21-1 dengan nilai Mean Square Error (MSE) pada tahapan training sebesar 0,00067535 dan pada tahapan testing yaitu 0,0767. Setelah dilakukan peramalan, diperoleh bahwa inflasi tertinggi terjadi pada bulan Oktober 2023 sebesar 0,5579 serta peramalan inflasi terkecil terjadi pada Februari 2023 sebesar 0,203.
An Analytical Solution Of 1-D Pseudo Homoneneous Model For Oxidation Reaction Using Homotopy Perturbation Method Nuryaman, Aang
Journal of Research in Mathematics Trends and Technology Vol. 1 No. 1 (2019): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v1i1.751

Abstract

In this paper, we propose an analytical solution of convective-diffusion equation that derived from an oxidation reaction in a chemical reactor. Here, concentration of feed gas as dependent variable. In this study, the reaction are assumed to be a one-dimensional pseudo homogeneous model and it is evaluated at a certain reaction rate. By rescaling process, the nonlinear term of the reaction rate can be approximated by a linear term, resulting a linear convective-diffusion equation with an initial condition and a set of boundary conditions. Here, we present an analytic solution of the initial condition and the boundary conditions using the homotopy perturbation method. The results show that at the end of the reactor, the solution is in agreement with numerical solution of the initial and boundary conditions.
The Locating Chromatic Number For Corona Operation Of Path And Cycle With Python Programming Hamzah, Nur; Asmiati, Asmiati; Nuryaman, Aang
Journal of the Indonesian Mathematical Society Vol. 31 No. 4 (2025): DECEMBER
Publisher : IndoMS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jims.v31i4.1894

Abstract

Locating chromatic number of a graph is a concept that is still interesting today because there is no theorem or algorithm that can determine the locating chromatic number of any graph. In this research, an algorithm was created to determine the locating chromatic number for corona operation of path and cycle with Python programming.
Co-Authors . Wamiliana Agus Yodi Gunawan Ahidiyah, Siti AHMAD FAISOL Ahmad Faisol Akmal Akmal Alam, Muhammad Fikri Anne Parlina Ardiyanti, Lily Asmiati Asmiati Asmiati Asmiati Asmiati Asmiati Atika Faradilla Bagus Hayatul Jihad Bagus Hayatul Jihad Citra Puspa Tria Dalfa Habibah Nurul Aini Danuari Fitrio, Beni Dewi Rakhmatia Nur Dian Kurniasari Dian Kurniasari Dina Eka Nurvazly Eri Setiawan Eri Setiawan Fachri Faisal Faradilla, Atika Fathudin Fathudin Fatimatuzzahra Fatimatuzzahra Fitriani Fitriani Fitriani, Debi Nur Hestina P., Shelvira Ismawati Ismawati Khotimah, Purnomo Husnul Kuntjoro Adji Sidarto Kurniawati, Virda La Zakaria La Zakaria Mardani, Maya Mega Putri Muhammad Ihsan Abyan Muhammad Ihsan Abyan Mulia Astuti Mustofa Usman Mustofa Usman Nabilla Yolanda Paramitha Nisa, Rizki Khoirun Notiragayu Notiragayu Nur Hamzah Nur, Dewi Rakhmatia Ranti Vidia Mahyunis Raratia ulsa Alfian Rudi Ruswandi Rudi Ruswandi Saidi, Subian Saiful Rohman Sihombing, Andre Soleh Fajar Junjunan Soleh Fajar Junjunan Sutrisno, Agus Swita, Baki Utami, Bernadhita Herindri Samodera Warsono Warsono Warsono Warsono Widarti, Widiarti Widiarti Widiarti Widiarti Wiranto, Ahmad Rizki Yogi Wibisono Budhi Zakaria, La