• Model Optimasi untuk Persoalan Terintegrasi Gudang, Inventori, Transportasi dalam Rantai Suplai Multi Eselon 

  Syofra, Anil Hakim (Universitas Sumatera Utara, 2025)

  Today, most companies have more complex supply chain networks in a more volatile business environment due to global sourcing, outsourcing of production, and serving customers worldwide with complex distribution networks ...

• Multi-Objective Vehicle Routing Problem With Time Windows Menggunakan Genetic Algorithm 

  Ketaren, Dahlia Rizky (Universitas Sumatera Utara, 2025)

  This study focuses on the development and application of the Multi-Objective Vehicle Routing Problem with Time Windows (MO-VRPTW) model using Genetic Algorithm (GA) to optimise the waste transport system in Batu Bara ...

• Penerapan Analisis Faktor dalam Menentukan Faktor-faktor yang Mempengaruhi Keputusan Belanja Online Melalui Aplikasi Shopee (Studi Kasus: Mahasiswa Universitas Sumatera Utara) 

  Sakinah, Bunga (Universitas Sumatera Utara, 2024)

  Shopee is an online platform that provides services for buying and selling through the internet. In this study, several factors are identified that influence consumers’ decisions to shop online via Shopee. Factor analysis ...

• Analisis Probabilistik dan Pemodelan Risiko dengan Rantai Markov, Metode MCMC, dan Regresi Logistik Ordinal pada Perkembangan Penyakit Diabetes Tipe 2 

  Julietta Sembiring, Erfiana (Universitas Sumatera Utara, 2025)

  Type 2 Diabetes Mellitus is a chronic disease that progresses gradually and often shows no symptoms in its early stages. To understand the dynamic transition of health status from normal to prediabetes and eventually to ...

• Evaluasi Kinerja Regresi Hüber dalam Mengatasi Outlier Dibandingkan dengan Metode Ordinary Least Square (OLS) dan Least Median Square (LMS) 

  Polem, Zulfina Rahmah (Universitas Sumatera Utara, 2025)

  Linear regression is the relationship between independent variables and dependent variables that is described in the form of a straight line (linear). Linear regression models are used to predict the values of unknown ...

• MODEL OPTIMASI MULTI-OBJEKTIF UNTUK JARINGAN RANTAI PASOK BERKELANJUTAN 

  Fadhillah, Nurul (Universitas Sumatera Utara, 2025)

  Sustainable supply chains have become a strategic approach in addressing global challenges related to operational efficiency and environmental and social sus tainability. This research aims to design a multi-objective ...

• Penerapan Metode Geographically Weighted Random Forest Regression pada Kasus Tuberkulosis di Provinsi Sumatera Utara 

  Ramadhani, Karunia Putri (Universitas Sumatera Utara, 2025)

  Geographically Weighted Random Forest Regression (GWRFR) is an improved method of Random Forest (RF) that considers spatial effects. Spatial effects refer to variations in the relationship between variables across different ...

• Penerapan Metode Adams Bashforth-Moulton dan Runge-Kutta dalam Memprediksi Pertumbuhan Penduduk di Sumatera Utara pada Tahun 2029 Berdasarkan Data Jumlah Penduduk pada Tahun 2015-2024 

  Padilla, Cici (Universitas Sumatera Utara, 2025)

  The ABM5 method is a predictor and corrector (multistep) method in solving non-linear ordinary differential equations that utilizes the value of several previous periods to calculate the current value and future values, ...

• Penggunaan Metode Naive Bayes pada Klasifikasi Risiko Angka Putus Sekolah di Sumatera Utara 

  Sirait, Annisa Hidayati (Universitas Sumatera Utara, 2025)

  The school dropout rate is a crucial indicator for assessing the quality and equity of education in a region. A high dropout rate often reflects structural issues such as poverty, limited access to educational facilities, ...

• Perbandingan Algoritma Branch and Bound dan Simulated Annealing pada Travelling Salesman Problem 

  Swara, Jaka Nada (Universitas Sumatera Utara, 2024)

  This study aims to explain and solve the problem of determining the route that has the minimum distance or cost in the Traveling Salesman Problem (TSP). To overcome this, an approach using the Branch and Bound Algorithm ...

• Analisis Sensitivitas Pada Model DEA Dengan Pendekatan Fuzzy Pada Pengukuran Kinerja Lingkungan Perumahan 

  Nadhila, Nurul (Universitas Sumatera Utara, 2025)

  Sensitivity analysis in DEA models using a fuzzy approach can provide significant benefits in measuring the environmental performance of housing. This method can help identify and measure the impact of changes in input ...

• Penerapan Metode Fuzzy Analytical Hierarchy Process (AHP) dalam Pemilihan Paket Layanan Internet Prabayar (Studi Kasus Mahasiswa FMIPA USU) 

  Adawiyah, Robiyatul (Universitas Sumatera Utara, 2025)

  This research aims to measure the level of accuracy and effectiveness of the application of the Fuzzy Analytical Hierarchy Process (AHP) method in selecting internet service packages. The selection of internet service ...

• Vehicle Routing Problem Relaxed Time Windows 

  Fitrie, Rosa (Universitas Sumatera Utara, 2025)

  The Vehicle Routing Problem with Relaxed Time Windows (VRP-RTW) is an ex tension of the classic Vehicle Routing Problem (VRP) that allows for flexibility in service time windows. In VRP-RTW, vehicles are allowed to arrive ...

• Model Optimasi Distribusi Logistik Menggunakan Multi-Depot Capacitated Vehicle Routing Problem 

  Rajagukguk, Angie Maretha (Universitas Sumatera Utara, 2025)

  Logistics distribution is vital for enhancing the efficiency and competitiveness of Indonesia. The challenges in Indonesian logistics include complex geography, limited infrastructure, traffic congestion, and high ...

• Modifikasi Data Anomali Kunjungan Wisman ke Sumatera Utara Selama Periode Covid-19 Dengan Metode Indikator Statistik dan Interpolasi Spline Time Series Untuk Kelayakan Model Time Series 

  Eddy, Thaswin (Universitas Sumatera Utara, 2025)

  The feasibility of time series models is highly influenced by both the availability of data and the structural patterns of the series itself. The regular collection of data over time plays a crucial role in generating ...

• Penaksiran Parameter Model Autoregressive Integrated Moving Average (ARIMA) Menggunakan Hamiltonian Monte Carlo dan Metropolis-Hastings 

  Jonathan, Derick Sanjiro (Universitas Sumatera Utara, 2025)

  Currency exchange rate is one of the key economic indicators that reflects a country’s stability and competitiveness. The selling rate of USD against the Indonesian Rupiah exhibits significant fluctuations, thereby requiring ...

• Penaksiran Parameter Model ARIMA dengan Metropolis-Hastings dan Gibbs Sampling 

  Sirait, Yosef Stepanus (Universitas Sumatera Utara, 2025)

  The ARIMA model is one of the most widely used methods in time series analysis, particularly for forecasting. The accuracy of the ARIMA model strongly depends on precise parameter estimation. The aim of this study is to ...

• Penentuan Optimal Produksi Dimsum Menggunakan Metode Goal Programming pada PT. Juragan Dimsum 

  Sihotang, Astria MP (Universitas Sumatera Utara, 2025)

  This study aims to determine the optimal production capacity of dimsum at PT. Juragan Dimsum using the Goal Programming method. In the planning process, the company faces several constraints, including meeting market demand, ...

• Implementasi Goal Programming dalam Mengoptimalkan Penjadwalan Perawat Rumah Sakit Umum Mitra Medika Amplas 

  Simanjuntak, Friska Maharani (Universitas Sumatera Utara, 2025)

  Nurse scheduling is a common problem in hospitals, making it crucial to devise an optimal schedule for maintaining the quality of healthcare services in hospitals. This study proposes an optimization model for nurse ...

• Kajian Model SIR-ASI pada Penyebaran Penyakit Demam Berdarah Dengue dengan Adanya Klasifikasi Usia 

  Maulida, Raissa (Universitas Sumatera Utara, 2025)

  This study develops an SIR-ASI model for Dengue Hemorragic Fever (DHF) by incorporating age classification in the human population, specifically into children and adults groups. The model is structured into nine compartments: ...

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