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All Journal International Journal of Electrical and Computer Engineering Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Mantik Penusa JURNAL MATHEMATIC PAEDAGOGIC MES: Journal of Mathematics Education and Science FARABI: Jurnal Matematika dan Pendidikan Matematika MATHunesa: Jurnal Ilmiah Matematika EduMatika: Jurnal MIPA Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Lentera: Multidisciplinary Studies Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa Lentera: Multidisciplinary Studies Konstanta : Jurnal Matematika dan Ilmu Pengelatuan Alam
Syahputra, Muhammad Romi
Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Sumatera Utara
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology 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 Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation

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Analisis Kualitas Pelayanan Sekolah SMAN 1 Berastagi terhadap Kepuasan Siswa dengan Metode Importance Performance Analysis (IPA) Gopinda Surbakti; Asima Manurung; Muhammad Romi Syahputra; Mardiningsih Mardiningsih
Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Vol. 2 No. 6 (2024): Desember : Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/arjuna.v2i6.1325

Abstract

In improving the quality of service to provide satisfaction to students, SMAN 1 Berastagi needs efforts to meet student expectations, so that students get satisfaction with the services provided by SMAN 1 Berastagi. Student satisfaction with the quality of services received can be measured using Importance Performance Analysis (IPA). Physical evidence, dependability, responsiveness, assurance, and care are the five aspects of service quality that make up service quality, which is an important term for service consumers. Of the 20 attributes asked to students, there are 2 attributes that are in the A quadrant important and anticipated. Prioritizing improvements in this dimension needs to be done. Factors included in quadrant A include ease of access to school services and ease of contact for educators.
Estimasi Parameter Distribusi Weibull Menggunakan Metode Maksimum Likelihood Isnaini Hafizhah Aziz; Zahedi Zahedi; Sutarman Sutarman; Muhammad Romi Syahputra
Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Vol. 3 No. 1 (2025): Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/arjuna.v3i1.1531

Abstract

In various types of statistical analysis, the Weibull distribution is an important continuous probability distribution. One crucial aspect of studying this distribution is estimating its parameters. The maximum likelihood method is the approach used for the two-parameter Weibull distribution. This method aims to determine the parameter values by maximizing the likelihood function based on the available data. The advantages of the maximum likelihood method lie in its properties, such as consistency, efficiency, and asymptotic normality. Since the form of the likelihood function in the Weibull distribution is quite complex and cannot be solved analytically, numerical solutions are required. One approach used is the Newton-Raphson method, which serves to approximate the parameter values or find the optimal solution.
Analisis Metode Clustering K-Means pada Zonasi Daerah Terdampak Banjir di Kota Medan dengan Evaluasi Silhouette Coefficient Febby Arisca Zurfani; Sawaluddin; Mardiningsih; Muhammad Romi Syahputra
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.270

Abstract

Clustering is one of the fields of study that discusses data. Clustering is used to find and group data based on its traits or characteristics. Clustering can also be used for class-identified data. However, the clustering method automatically clusters the data before the class identifier is known. Based on the data obtained, the city of Medan, which has a population of approximately 2,460,858 people and an area of 26,510 hectares or 3.6% of the total area of North Sumatra Province, is classified as Flood-prone (BPS). Floods that occur almost 10 to 12 times a year in Medan City are influenced by the condition of the downstream Deli and Belawan rivers. Based on the results of the k-means clustering that has been carried out, the areas that are safe from flooding are the districts of Meddan Amplas, Medan Denai, Medan Area, Medan Kota, Medan Petisah, Medan Perjuangan, Medan Tembung, Medan Deli, and Medan Labuhan. Areas prone to flooding are Medan Tuntungan, Medan Sunggal, Medan Helvetia, West Medan, and Medan Marelan. Meanwhile, the areas most prone to flooding are Medan Johor, Medan Maimun, Medan Polonia, Medan Baru, Medan Selayang, Medan Timur, and Medan Belawan based on the evaluation of the accuracy of the silhouette method of 0.9 and can be declared significant.
Penerapan Teori Permainan dalam Menentukan Strategi Pemasaran Optimum pada Produk Mi Instan (Mie Sedaap, Gaga, dan Supermi) di Lingkungan Mahasiswa Matematika Universitas Sumatera Utara Miftah Khairani; Muhammad Romi Syahputra; Parapat Gultom; Mardiningsih Mardiningsih
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.271

Abstract

Instant noodle consumption in Indonesia has continued to increase in the last few years, which indicates that there are more business opportunities for instant noodle products in Indonesia. Proved by the number of instant noodle brands scattered on the market. This has led to increased competition among companies in order to be the best in the eyes of consumers. Marketing strategies are needed to win competition as well as increase sales, ranging from taste innovations, prices, product quality, promotions, and so on. In this study, game theory is used to investigate the competition between Mie Sedaap, Gaga, and Supermi. Using pure strategy is obtained game value that shows that the optimal strategy for Mie Sedaap is ease of purchase, the optimum strategy for Gaga is packaging strategy, and the optimum strategy for Supermi is price strategy.
Penerapan Analisis Faktor dalam Menentukan Faktor-Faktor yang Mempengaruhi Keputusan Belanja Online Melalui Aplikasi Shopee (Studi Kasus: Mahasiswa Universitas Sumatera Utara) Bunga Sakinah; Elly Rosmaini; Muhammad Romi Syahputra; Mardiningsih Mardiningsih
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.275

Abstract

Factor analysis is a statistical method aimed at exploring correlations or relationships among variables studied, which are then grouped into fewer new factors. Principal Component Analysis (PCA) is a statistical technique used to reduce the dimensions of data with the goal of identifying hidden patterns or significant structures within the data. The research results indicate the presence of 5 factors influencing the decision-making process in online shopping among students of the University of North Sumatra via Shopee, namely the Funding Application Factor (28.141%), Information Reputation Factor (13.983%), Communication Satisfaction Factor (7.452%), Types and Compensation Factor (6.683%), and Guarantees and Prices Factor (5.794%). These five factors obtained a cumulative variance of 62.051%, indicating that they influence online shopping decisions through Shopee among University of North Sumatra students by 62.051%.
Penerapan Simulasi Dalam Menganalisis Sistem Antrean pada Pelayanan Kefarmasian Rawat Jalan Rumah Sakit Advent Medan Chelsea Natali Lumban Gaol; Parapat Gultom; Esther Sorta Mauli Nababan; Muhammad Romi Syahputra
Lentera: Multidisciplinary Studies Vol. 2 No. 1 (2023): Lentera: Multidisciplinary Studies
Publisher : Publikasiku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/lentera.v2i1.30

Abstract

Rumah Sakit Advent Medan sebagai pelayanan kesehatan harus memerhatikan kualitas pelayanan termasuk pada pelayanan kefarmasian. Pelayanan kefarmasian adalah suatu pelayanan langsung dan bertanggung jawab kepada pasien dalam menyediakan obat untuk meningkatkan mutu kehidupan pasien. Pada hasil pengamatan diperoleh bawa rata-rata waktu tunggu sebesar 0,7652 jam atau 45 menit. Sehingga menjadi suatu masalah bagi rumah sakit mengenai sistem antreannya. Tujuan dari penelitian ini adalah untuk mengetahui upaya yang dilakukan Rumah Sakit untuk memperbaiki waktu tunggu dalam antrean. Untuk mengatasi masalah ini, salah satunya adalah melakukan analisis pada sistem pelayanan dengan menggunakan teori antrean dengan disiplin antrean First In First Out (FIFO) yang disimulasikan melalui software ARENA 16.0. Dari hasil simulasi model awal yang rata-rata waktu tunggu sebesar 0,7652 jam atau 45 menit dan utilitas atau tingkat kesibukan sebesar 97,42%. Dengan demikian dibuat simulasi model usulan perbaikan, skenario terpilih yaitu skenario 3 dengan menambahkan 3 pekerja untuk melayani dalam pembuatan obat dan dari hasil simulasi diperoleh rata-rata waktu tunggu sebesar 0,0847 jam atau 5 menit dan utilitas atau tingkat kesibukan sebesar 75,08% sehingga dapat terlihat perbedaan yang signifikan, banyak pasien yang datang dengan pasien yang keluar adalah sama, sehingga semua pelanggan dapat terlayani. Dapat dikatakan pada skenario 3 server tidak sibuk sehingga pelayanan yang diberikan dapat cepat dan baik membuat pasien merasa puas dan pelayanan dapat dikatakan optimal.
Peramalan Harga dan Tren Saham Menggunakan Model ARIMA-GARCH dan Hidden Markov Model Simamora, Dea Melinda; Sitorus, Syahriol; Syahputra, Muhammad Romi; Yanti, Maulida
FARABI: Jurnal Matematika dan Pendidikan Matematika Vol 8 No 1 (2025): FARABI
Publisher : Program Studi Pendidikan Matematika FKIP UNIVA Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/farabi.v8i1.866

Abstract

Dalam penelitian ini, model ARIMA-GARCH digunakan untuk meramalkan harga saham dan volatilitas, sedangkan Hidden Markov Model (HMM) digunakan untuk mendeteksi tren tersembunyi berdasarkan hasil peramalan tersebut. Data yang digunakan adalah data historis harga saham harian PT Bukit Asam Tbk periode Oktober 2022 hingga Oktober 2023. Dari model ARIMA-GARCH diperoleh model terbaik untuk meramalkan harga saham pembukaan dan penutupan PT Bukit Asam Tbk adalah ARIMA(0,1,1)-GARCH(1,0) dan ARIMA(1,1,0)-GARCH(1,0) dengan persamaan dan . Hasil peramalan ini akan digunakan untuk mengidentifikasi dan meramalkan tren tersembunyi dalam pergerakan harga saham. Berdasarkan hasil analisis Hidden Markov Model (HMM), seluruh hidden state menunjukkan kondisi bearish yang mengindikasikan bahwa pasar secara keseluruhan berada dalam tren penurunan, meskipun terdapat fluktuasi harian pada harga saham. Kata Kunci : ARIMA-GARCH, Hidden Markov Model, Peramalan, Saham, Tren Pasar.
Optimization model of vehicle routing problem with heterogenous time windows Mawengkang, Herman; Syahputra, Muhammad Romi; Sutarman, Sutarman; Weber, Gerhard Wilhelm
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i4.pp4043-4057

Abstract

This study proposes a novel optimization framework for the vehicle routing problem with heterogeneous time windows, a critical aspect in logistics and supply chain operations. Unlike conventional vehicle routing problem (VRP) models that assume uniform service schedules and fleet capacities, our approach acknowledges the diverse time constraints and vehicle specifications often encountered in real-world scenarios. By formulating the problem as a mixed integer linear programming model, we incorporate constraints related to time windows, vehicle load capacities, and travel distances. To tackle the NP-hard complexity, we employ a hybrid strategy combining metaheuristic algorithms with exact methods, thus ensuring both solution quality and computational efficiency. Extensive computational experiments, conducted on benchmark datasets and real-world logistics data, confirm the superiority of our model in terms of solution quality, runtime, and adaptability. These findings underscore the model’s practicality for industries facing dynamic routing requirements and tight service windows. Furthermore, the proposed framework equips decision-makers with a robust tool for optimizing route planning, ultimately enhancing service quality, reducing operational costs, and promoting more reliable delivery outcomes.
MODELLING AND NUMERICAL ANALYSIS FOR CRACK PROPAGATION IN COMBINING CONCRETE WITH 25% FEATHER SHELL POWDER USING FINITE ELEMENT METHOD Nasution, Marah Doly; Syahputra, Muhammad Romi; Rambe, Isnaini Halimah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 4 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss4pp2419-2430

Abstract

This study explores the application of the Extended Finite Element Method (XFEM) for modeling fracture behavior, utilizing COMSOL Multiphysics 5.6 to simulate a homogeneous concrete medium without embedded reinforcement. The computational model incorporates key parameters such as stress ratio (Young’s modulus of 137.9 MPa), lateral strain from axial loading (Poisson’s ratio of 0.17), concrete density of 2.4 g/cm³, and a crack growth rate governed by Paris’ law. The simulation results show a maximum stress intensity factor ( ) of 66.2 and a failure point occurring after approximately 22,568 load cycles. A mixture comprising 25% clamshell ash and lime was used as a sustainable cement substitute, achieving a maximum compressive strength of 20.53 MPa—meeting the structural concrete standard. These findings contribute to enhancing predictive fracture models and promoting sustainable material innovation in civil engineering.
Models in active learning in schools Tulus; Zarlis, Muhammad; Sawaluddin; Syahputra, Muhammad Romi; Marpaung, Tulus Joseph
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2020): ABDIMAS TALENTA : Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (184.084 KB) | DOI: 10.32734/abdimastalenta.v5i1.4230

Abstract

The model is part of a learning structure that has a scope large. Inside there are approaches, strategies, methods, and techniques. One of an important aspect of a learning model is syntax, which is standard steps that must be taken in implementing the model. This syntax should be reflected in the steps of learning in particular detailed in the core learning activities. The results achieved in this activity are the teacher has the ability to develop scenarios or core steps active learning that uses certain learning models through the use of supporting media in teaching and learning activities
Co-Authors Abdul Munif Amelia, Nabila Arbia, Rahmad Asima Manurung Awaluddin Fitra Barus, Tania Aldera Hartanta Putri Br Ginting, Dewi Sartika Bunga Sakinah Chelsea Natali Lumban Gaol Efendi, Syahril Elly Rosmaini Fajrina Reski Arini Fauzan Nurahmadi Febby Arisca Zurfani Fuzy Yustika Manik, Fuzy Yustika Ginting, Dewi Sartika Br Gopinda Surbakti Harumy, T. Henny Febriana Herianto, Tulus Joseph Herman Mawengkang Isnaini Hafizhah Aziz Jaya, Ivan Marah Doly Nasution Mardiningsih Mardiningsih Mardiningsih Marpaung, Tulus Joseph Herianto Miftah Khairani Monika Vlorentina Br Tarigan Muhammad Zarlis, Muhammad Nababan, Esther Sorta Mauli Nainggolan, Pauzi Ibrahim Nasution, Dewi Aslamiah Nasution, Putri Khairiah Natalia, Desy Denada Parapat Gultom Parapat Gultom Rambe, Isnaini Halimah Salsabila, Nisya Aulia Sawaluddin Sawaluddin Sawaluddin, Sawaluddin Selviani, Chairunnisa Seniman Seniman, Seniman Siagian, Riris Regita Cahyani Simamora, Dea Melinda Situmeang, Hevi Sepatia Sri Dwi Hastuti Sutarman Sutarman Sutarman Sutarman Syahriol Sitorus Tambunan, Gilbert Pauly Hamonangan Telaumbanua, Tolona Berkat Lindung Tulus Weber, Gerhard Wilhelm Yanti, Maulida yeni absah Yudhistira Yudhistira Yudhistira Zahedi Zahedi Zulida, Nadya Putri