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All Journal Sainstek CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Matematika: MANTIK Jurnal Matematika Sains dan Teknologi Dinamisia: Jurnal Pengabdian Kepada Masyarakat Teorema: Teori dan Riset Matematika Jambura Journal of Mathematics Jurnal Matematika UNAND Transformasi : Jurnal Pendidikan Matematika dan Matematika Vygotsky: Jurnal Pendidikan Matematika dan Matematika Square : Journal of Mathematics and Mathematics Education Jurnal Bakti Masyarakat Indonesia Jambura Journal of Mathematics Education Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi JES-MAT (Jurnal Edukasi dan Sains Matematika) Unnes Journal of Mathematics Research in the Mathematical and Natural Sciences Research Review: Jurnal Ilmiah Multidisiplin Jurnal Riset Mahasiswa Matematika Innovative: Journal Of Social Science Research Jurnal Matematika Integratif
Nurwan Nurwan
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Algoritma Genetika Untuk Penjadwalan Karyawan Ira Stationary Kurniasari Abram; Novianita Achmad; Muhammad Rezky Friesta Payu; Nurwan Nurwan; Djihad Wungguli; Asriadi Asriadi
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 1 June 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v11i1.17364

Abstract

Employee scheduling is an activity plan for time sharing that contains a schedule for carrying out planned activities in the form of a table. This study aims to create an employee schedule model using a Genetic Algorithm, which is a heuristic method inspired by the process of natural selection, the strong will survive and reproduce, the stages of the Genetic Algorithm are population initialization, fitness value, selection, crossover, and mutation. The study results show an optimal model consisting of at most two shifts with a maximum of two holidays a week and not consecutively.
ANALISIS PERPINDAHAN PENGGUNAAN APLIKASI TRANSPORTASI ONLINE MENGGUNAKAN RANTAI MARKOV Salmun K. Nasib; Nurwan Nurwan; I Wayan Can Aryasandi; Isran K. Hasan; Asriadi Asriadi
Jurnal Matematika UNAND Vol 13, No 1 (2024)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.13.1.26-40.2024

Abstract

The purpose of this study is to find out the opportunities for switching to the use of online transportation applications and predict the future use of online transportation applications by Gorontalo State University students using the Markov chain. The data used in this study are primary data obtained through questionnaires. The results of the prediction of the proportion for future market share show that the proportion of users of the Maxim transportation application is 82.89%, Grab is 7.75%, Gojek is 5.06% and InDriver is 4.48%.
Perbandingan Metode ARFIMA dan Metode ARIMA-FFNN (Studi Kasus: Harga Saham di PT. Telekomunikasi Indonesia Tbk) Afandi W. Biga; Isran K. Hasan; Nurwan
Research Review: Jurnal Ilmiah Multidisiplin Vol. 4 No. 2 (2025): Research Review: Jurnal Ilmiah Multidisiplin (Agustus 2025 - Januari 2026)
Publisher : Transbahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54923/researchreview.v4i2.221

Abstract

This study aims to compare the effectiveness of the Autoregressive Fractionally Integrated Moving Average (ARFIMA) model and the Autoregressive Integrated Moving Average–Feedforward Neural Network (ARIMA-FFNN) hybrid model in forecasting the stock price of PT Telekomunikasi Indonesia Tbk. Forecasting stock prices is a crucial aspect of financial decision-making since accurate predictions can support investors and policymakers in minimizing risks and maximizing returns. In this study, the ARFIMA(1,d,1) model and the ARIMA(0,d,2)-FFNN(0,2) hybrid model were applied to historical daily stock price data of PT Telekomunikasi Indonesia Tbk. The performance of both models was evaluated using the Mean Absolute Percentage Error (MAPE), which is widely recognized as a reliable metric for measuring prediction accuracy. The results revealed that the ARFIMA(1,d,1) model generated a MAPE value of 2.11%, while the ARIMA(0,d,2)-FFNN(0,2) model achieved a significantly lower MAPE value of 1.28%. These findings indicate that the hybrid ARIMA-FFNN approach provides more accurate forecasting results compared to the ARFIMA model. Therefore, the ARIMA(0,d,2)-FFNN(0,2) model can be considered a more optimal and reliable forecasting method for predicting stock prices in PT Telekomunikasi Indonesia Tbk. The results of this study highlight the potential of combining traditional time series models with machine learning approaches to enhance forecasting accuracy in financial markets.
Sifat-Sifat Matriks Normal dalam Aljabar Max-Plus Any Muanalifah; Yulia Romadiastri; Muhammad Ulil Albab; Nurwan; Rosalio G. Artes; Ainun Esti Candra
Square : Journal of Mathematics and Mathematics Education Vol. 7 No. 2 (2025)
Publisher : UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dalam aljabar max-plus, matriks normal didefinisikan sebagai matriks persegi  dimana elemen pada diagonal utamanya adalah nol dan elemen non diagonal utamanya adalah bilangan real non positif. Struktur ini memberikan sifat keteraturan khusus terhadap operasi maksimum dan penjumlahan pada aljabar maxplus. Pada artikel ini akan di bahas review tentang matriks  normal dan perilaku stabil terhadap perpangkatan, termasuk kondisi tertentu yang menjamin sifat idempoten. Selain itu, diperoleh kriteria struktural yang memastikan kekomutatifan dua matriks normal terhadap perkalian max-plus.
Prediksi Harga Emas Dunia Menggunakan Deep Learning GRU dengan Optimasi Nadam Ismail Saputra R. Harmain; Nurwan Nurwan; Isran K. Hasan; Djihad Wungguli; Nisky Imansyah Yahya
Jurnal Riset Mahasiswa Matematika Vol 4, No 6 (2025): Jurnal Riset Mahasiswa Matematika
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v4i6.36007

Abstract

Volatilitas harga emas yang tinggi menuntut adanya metode prediksi yang andal untuk mendukung pengambilan keputusan investasi. Penelitian ini mengimplementasikan algoritma Gated Recurrent Unit (GRU) berbasis deep learning yang dioptimalkan menggunakan Nesterov-Accelerated Adaptive Moment Estimation (Nadam) untuk memprediksi harga emas harian.Model terbaik diperoleh dengan nilai Mean Squared Error (MSE) sebesar 0, 00012 pada data univariat dan 0, 00027 pada data multivariat. Mean Absolute Percentage Error (MAPE) yang diperoleh masing-masing sebesar 1,107% untuk data univariat dan 1,59% untuk data multivariat. Hasil tersebut mengindikasikan bahwa model GRU dengan optimasi Nadam memiliki performa prediksi yang tinggi, baik pada data deret waktu tanpa penambahan fitur maupun dengan penambahan fitur.
The Implementation of Random Under-Sampling and Synthetic Minority Oevrsampling Techniques to Evaluate the Performance of the Classification and Regression Tree Method Rifandi Pratama Putra Kasadi; Nurwan Nurwan; La Ode Nashar; Djihad Wungguli; Siti Nurmardia Abdussamad
Jurnal Matematika Sains dan Teknologi Vol. 26 No. 1 (2025)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v26i1.11381.2025

Abstract

Class imbalance in datasets poses a significant challenge in the application of classification models, including the Classification and Regression Tree (CART) method. This study aims to evaluate the performance of CART combined with two data balancing techniques: Random Under Sampling (RUS) and Synthetic Minority Oversampling Technique (SMOTE). The data set used in this research is the Heart Failure Clinical Records from Kaggle.com, which exhibits an imbalance where the number of deceased patients is 1,568 records (minority class) and the number of survivors is 3,432 records (majority class), with a total of 5,000 records. The RUS technique reduced the total number of records to 2,526, with each class containing 1,263 records. Conversely, after applying SMOTE, the total number of records increased to 5,474, with each class containing 2,737 records. Model performance evaluation was conducted using precision, recall, and F1-score metrics, both before and after implementing data balancing techniques. The results of the study showed that combining CART with SMOTE produced better performance in recognizing the minority class compared to RUS, achieving accuracy and F1-score of 88.203% and 88.195%, respectively. Meanwhile, RUS achieved an accuracy of 86.345% and an F1-score of 86.332%. Therefore, the use of SMOTE improved model accuracy by approximately 1.85% and F1-score by 1.86% compared to RUS. This study makes a significant contribution to improving prediction accuracy on imbalanced datasets and enriches scientific references related to the application of the CART method and data balancing techniques.
Penjadwalan Mata Pelajaran Menggunakan Integer Nonlinear Programming Abdul Rasyid Mile; Muhammad Rifai Katili; Nurwan Nurwan
Research in the Mathematical and Natural Sciences Vol. 1 No. 1 (2022): November 2021-April 2022
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (336.694 KB) | DOI: 10.55657/rmns.v1i1.2

Abstract

Timetabling is one of the problems faced by large numbers of institutions, including schools. In this paper, this timetabling problem is mathematically modeled using Integer Nonlinear Programming to optimize the result with the non-linear objective function or constraint function. The model was implemented to solve the timetabling problem in one of Madrasah Tsanawiyah Islamic junior high school in Gorontalo. The result effective solutions in the form of subject and instructor timetabling that overcome the obstacles are obtained. To better the timetabling, supplementary teachers are still required for some subjects.
Aplikasi Algoritma Floyd-Warshall untuk Mengoptimalkan Distribusi Listrik di PLN Kota Gorontalo Susanti Usman; Ifan Wiranto; Nurwan Nurwan
Research in the Mathematical and Natural Sciences Vol. 1 No. 1 (2022): November 2021-April 2022
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (572.032 KB) | DOI: 10.55657/rmns.v1i1.24

Abstract

This research deals with the application of the Floyd-Warshall algorithm and Floyd-Warshall plus in the optimization of electricity distribution network routes in Gorontalo City. The route optimization begins by representing the power poles and cable lengths into a graph. The graph used is a weighted graph where the road (related to the length of the cable) is represented as a weighted side and the electric pole is represented as a point. This graph consists of a set of electric poles totalling 40 points and a set of roads (cable lengths) totalling 46 sides. The results showed that the shortest path of the electricity distribution network is and the minimum cable network length is 9,040 m.
Model Antrian Pelayanan Terhadap Nasabah Bank BRI Menggunakan Petri Net dan Aljabar Max Plus Sri Ayu Nurdin; Lailany Yahya; Isran K Hasan; Nurwan Nurwan
Research in the Mathematical and Natural Sciences Vol. 2 No. 2 (2023): May-October 2023
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v2i2.106

Abstract

Petri net is one model representing transitions and places connected by arrows. Max Plus Algebra is an algebraic structure in which all sets of real numbers  are equipped with max (maximum) and (addition). This research created a Petri net model of the customer service system for Bank BRI and a Max Plus Algebra model related to time to minimize service time at Bank BRI. The result is periodic time or characteristic values and vector characteristics where the values and are . The value of this vector's characteristics becomes a periodic time, which only takes 2 days 3 hours during working hours to disburse money after the client's arrival.
Penerapan Petri Net Pada Layanan Antrian di SPBU Kota Gorontalo Siti Maryam Barham; Lailany Yahya; Muhammad Rezky Friesta Payu; Nurwan Nurwan
Research in the Mathematical and Natural Sciences Vol. 2 No. 2 (2023): May-October 2023
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v2i2.114

Abstract

This study aims to apply Petri Net for queuing services for gas stations in the city of Gorontalo. The subject that became the focus of the research was the Jalan Jendral Sudirman gas station. The results obtained in this application are 11 places and 11 transitions, a matrix representation of the model, and the convertibility tree model.
Co-Authors Abdul Djabar Mohidin Abdul Rasyid Afandi W. Biga Agusyarif Rezka Nuha Ainun Esti Candra Any Muanalifah Arya Aurellio Yusuf Asriadi Dewi Rahmawaty Isa Djihad Wungguli Frendy Dermawan Silalahi Ghivahri Sidik Mokoagow I Wayan Can Aryasandi Ifan Wiranto Ismail Saputra R. Harmain Isran K Hasan Jufrin Jufrin Karina Anselia Mamonto Kurniasari Abram La Ode Nashar Lailany Yahya Lindrawati Abdjul Mahmud, Sri Lestari Majid Majid Moh Dody Afandi Rauf Muhammad Rezky F. Payu Muhammad Ulil Albab NISKY IMANSYAH YAHYA Novianita Achmad Nur Falaq Nursiya Bito Perry Zakaria Pranata, Widya Eka Rafika Pomalingo Rahmi, Emli Resmawan Resmawan Reza Mokodompit Rifandi Pratama Putra Kasadi Rosalio G. Artes SALAMAH, ANI Salmun K. Nasib Siti Maryam Barham Siti Nurmardia Abdussamad Siti Zakiah Siti Zakiyah Sri Ayu Nurdin Sumarno Ismail Susanti Usman Sutriany Nteseo Taha, Dennynatalis Taki, Febriani Verawati Tarsan Kadir Yulia Romadiastri