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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan Justek : Jurnal Sains Dan Teknologi JTAM (Jurnal Teori dan Aplikasi Matematika) Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Math Educa Journal JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Journal of Computer Networks, Architecture and High Performance Computing Journal of Research in Mathematics Trends and Technology Asimetris: Pendidikan Matematika dan Sains FARABI: Jurnal Matematika dan Pendidikan Matematika Leibniz: Jurnal Matematika Humantech : Jurnal Ilmiah Multidisiplin Indonesia Journal of Mathematics and Scientific Computing With Applications Jurnal Pijar MIPA Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Journal of Technology and Computer (JOTECHCOM) Jurnal Pengabdian Mitra Masyarakat Jurnal Jendela Matematika Journal of Industrial Engineering and Management
Widyasari, Rina
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OPTIMIZATION OF SYAHFIRA BAKERY PRODUCTION USING THE TAGUCHI-PRINCIPAL COMPONENT ANALYSIS (PCA) METHOD Dongoran, Rodiani; Dur, Sajaratud; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i2.73

Abstract

The bread-making business is part of the finished food industry which uses wheat flour as the main raw material for its production process. Bread production has quality characteristics, namely bread surface roughness (Smaller is better) and material processing rate (Larger is better). The combination of the Taguchi-Principal Component Analysis method is used to optimize bread products. The experimental design used is the L9 orthogonal matrix. These quality characteristics are influenced by factors such as the length of time for mixing and kneading, yeast fermentation, roasting time and the dose of water with 3 levels each. Principal Component Analysis (PCA) is used to eliminate correlated correlated responses to an uncorrelated quality index. The results showed that this method can improve the quality of bread production in influencing the surface roughness of the bread and the significant speed of processing the ingredients is the dough time, yeast fermentation, and baking time.
CLUSTER ANALYSIS TO CLASSIFY THE LEVEL OF SOCIAL WELFARE OF THE COMMUNITY IN DELI SERDANG REGENCY USING FUZZY C-MEAN CLUSTERING DURING THE COVID-19 PANDEMIC Salasa Riana, Dwi; Rakhmawati, Fibri; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i2.77

Abstract

The Covid-19 pandemic has greatly affected the social welfare of the affected communities in each region. Based on data sources that there are many people who have lost their jobs and lack of income, the government provides a number of assistances to help people affected by covid-19. This study uses data on the number of reciptients of cash social assistance (BST) in Deli Serdang Regency in 2020 which aims to look at the problems of assistance received by the community towards the social welfare of the community. This study uses fuzzy c-mean clustering method because social welfare groupings can be grouped appropriately. Based on the results of fuzzy c-mean clustering analysis will produce three clusters that have different characteristics. The sub-district included in cluster 1, namely Hamparan Perak, Percut Sei Tuan, Sunggal, Tanjung Morawa are sub-districs that have a low level of welfare during the covid-19 pandemic because in these sub-districs the population is more than other sub-districs. Located in Deli Serdang regency.
APPLICATION OF THE MONTE CARLO METHOD IN PREDICTING THE NUMBER OF BUDGET PROPOSALS ACCEPTED IN NORTH SUMATRA PROVINCIAL HEALTH OFFICE Harahap, Riska; Siahaan, Maharani Putri Adam; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 1 (2024)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v5i1.873

Abstract

A budget is a planning tool regarding future expenditure and revenues, generally prepared for one year. The prediction simulation for approved budget proposals is an estimate of the calculation of the approval rate for approved proposals in the following year. This research uses the Monte Carlo method in solving problems. This method can be used in problems with nonlinear boundary conditions, namely prediction limits.the author uses a quantitative descriptive method, which is a form of research that focuses on the facts and characteristics of the research object by combining related variables. This research uses the Monte Carlo method uses random numbers and probability statistics to solve problems.The data used to predict the approved proposal budget is the budget proposal data that is approved each year. The following is one of the approved proposal data, namely the approved budget proposal data from 2021, 2022 and 2023 budget proposals received using the Monte Carlo Method which has been implemented at the North Sumatra Provincial Health Service with the simulation namely with an average percentage in 2022 of 84% and in 2023 by 76%. So with the successful application of the Monte Carlo Method to predict the number of budget proposals received at the North Sumatra Provincial Health Service for 2024 it will provide convenience for the North Sumatra Provincial Health Service to find out what the predicted number of budget .
SHORT-TERM ELECTRICITY LOAD FORECASTING SEASONAL PATTERN USING TIME SERIES REGRESSION (TSR) MODEL IN PT.PLN (PERSERO) MEDAN CITY Rambe, Feby Mayori; Widyasari, Rina
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5533

Abstract

Electricity is a crucial component of modern life, where daily consumption fluctuates significantly. Uncertain electricity demand can lead to imbalances between supply and consumption, potentially causing energy wastage or power outages. To address this issue, a forecasting method capable of accurately predicting electricity load is essential. The Time Series Regression (TSR) model is applied for short-term electricity load forecasting by considering daily and weekly seasonal patterns. The forecasting results indicate that Monday and Tuesday have the highest electricity load, while Sunday has the lowest. When the Kolmogorov-Smirnov test is used to analyse the model, the p-value is 0.9608, which shows that the residuals have a normal distribution. The model's accuracy is assessed with a Root Mean Square Error (RMSE) value of 378.0069 MW, which is relatively high for a small dataset. Given the considerable forecasting error, further improvements such as hybrid models are recommended to enhance accuracy. The implementation of these forecasting results can help optimize electricity management and improve power distribution efficiency.
Pengklasifikasian Variabel-Variabel Yang Mempengaruhi Terjadinya Stunting di Kota Medan dengan Metode Chi-Square Automatic Interaction Detection (CHAID) Rakhmawati, Fibri; Arianti, Mei Yunina; Widyasari, Rina; Cipta, Hendra
Asimetris: Jurnal Pendidikan Matematika dan Sains Vol. 4 No. 2 (2023): Asimetris: Jurnal Pendidikan Matematika dan Sains
Publisher : Pendidikan Matematika Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/asimetris.v4i2.2303

Abstract

Tujuan penelitian ini adalah pengklasifikasian dan menganalisis faktor mana yang sangat berepengaruh terhadap kejadian stunting di Kota Medan menggunakan metode CHAID. Metode CHAID ini bekerja dengan mengidentifikasi hubungan antara variabel dependen dan independen lalu menggunakan hubungan ini untuk mengklasifikasikan sampel. Hasil penelitian menunjukkan bahwa faktor-faktor yang berpengaruh pada kejadian stunting terhadap bayi usia 24-59 bulan di Kota Medan berdasarkan hasil analisis metode CHAID adalah Riwayat Pemerian ASI Eksklusif dan Sanitasi. Dari hasil analisis metode CHAID diperoleh tiga pengklasifikasian berbeda yaitu: (1) Bayi usia 24-59 bulan yang mengalami stunting sangat pendek adalah bayi dengan keadaan Riwayat Pemberian ASI Eksklusif tidak diberikan sebesar 54% dan sanitasi tidak layak sebesar 66,7%. (2) Bayi usia 24-59 bulan yang mengalami stunting adalah bayi dengan keadaan Riwayat Pemberian ASI Eksklusif tidak diberikan sebesar 54% dan sanitasi layak sebesar 25% dan (3) Bayi usia 24-59 bulan yang tidak mengalami stunting sangat pendek adalah bayi dengan keadaan Riwayat Pemberian ASI Eksklusif diberikan 23%. Sehingga hasil temuan penelitian ini diharapkan memberikan masukan kepada pihak terkait dalam mengantisipasi terjadinya kasus stunting dengan mengklasifikasi factor-faktor mana saja yang sangat mempengaruhi kasus stunting ini.  
SIMULASI PENGENDALIAN PERSEDIAAN ALAT TULIS KANTOR PADA DINAS PERKEBUNAN DAN PETERNAKAN PROVINSI SUMATERA UTARA DENGAN METODE MONTE CARLO Sari, Rina Filia; Aprilia, Rima; Widyasari, Rina; Afnaria, Afnaria; Suhaimi, Syech; Putri, Chindy Aulia
Jurnal Pengabdian Mitra Masyarakat Vol 3, No 2 (2024): Edisi Maret
Publisher : Universitas Islam Sumatear Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jurpammas.v3i2.9284

Abstract

In a Government Agency, office stationery supplies are an absolute necessity. The provision of adequate office stationery will facilitate performance. This study aims to predict the demand for office stationery using Monte Carlo Simulation. Monte Carlo is a numerical analysis method that uses random number samples. The data used in this study are primary data in the form of the number of stock items and the number of requests for goods from January to December 2023. The accuracy result using the Monte Carlo method for Year 2024 is 91.78%. This shows that the Monte Carlo method simulation can be used to predict the demand for stationery for the following year.
Goal Programming Model in Tackling The Optimal Building Material for Production Planning Cipta, Hendra; Widyasari, Rina
Journal of Industrial Engineering and Management Vol 1, No 1 (2023)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/jaiem.v1i1.2

Abstract

The goal achieved in the preparation of production planning is more than one. UD Rezeki Berkah is a small business medium-sized enterprise engaged in the production of building materials. UD Rezeki Berkah aims to meet market demand and must consider the costs used during production to maximize profit. Because of these problems, it will be solved with a goal programming model where this method can solve more than one goal to get a model with optimal goal priority. This research provides an optimal solution, namely achieving the target sales volume and production costs within the Rp limit target. 929,128,971, and profit targets reached Rp. 562,751,890 for a period of one year.
Penerapan Regresi Logistik Biner Pada Faktor-Faktor Perceraian di Kota Medan Fitriani, Fitriani; Cipta, Hendra; Widyasari, Rina
FARABI: Jurnal Matematika dan Pendidikan Matematika Vol 8 No 2 (2025): FARABI: Jurnal Matematika dan Pendidikan Matematika
Publisher : Program Studi Pendidikan Matematika FKIP UNIVA Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/farabi.v8i2.1243

Abstract

Divorce is a court decision on the termination of a marriage. Divorce brings with it a negative impact, especially on the children of the couple's marriage. Children who are victims of divorce tend to be prone to feeling afraid, sad, guilty to trigger stress and depression in children which then has a bad impact on relationships during the child's growth and development. Therefore, it is necessary to conduct an analysis to find out the factors of divorce. In this research, the analysis used is binary logistic regression with the response variables in the binary category of divorce, namely “cerai talak” and “cerai gugat”. While the stimulus variables in this study were 13 objects obtained based on secondary data documentation of Courts. The results of this research are obtained five factors that have a significant effect, namely age at marriage and profession of who filing for divorce and divorce defendant, as well as the education of who filing for divorce. The interpretation of the results of binary logistic regression analysis shows that, the age of divorced defendant at the time of marriage has a 1,15 times greater effect on the cerai gugat, while the age of who filed for divorce has a 0.68 times greater effect on the cerai talak. Keywords: Divorce, Factors, Binary Logistics Regression
Robust Optimization Model for Green Capacitated Vehicle Routing Problem with Hamiltonian Circuit using the Nearest Neighbor Algorithm Cipta, Hendra; Widyasari, Rina; Dongoran, Raisha Zuhaira
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v10i2.35430

Abstract

The rapid urban expansion of Medan City has intensified the complexity of municipal waste transportation, where limited fleet capacity, congested road segments, and long travel distances to the Terjun disposal site result in high operational costs and excessive carbon monoxide (CO) emissions. In addition, daily fluctuations in waste volume introduce uncertainty that disrupts routing efficiency and increases the risk of vehicle overload. This study proposes a Robust Optimization based Green Capacitated Vehicle Routing Problem model to minimize transportation cost and CO emissions while maintaining route feasibility under demand uncertainty. The model incorporates a Hamiltonian circuit structure to ensure closed-loop routing and applies the Nearest Neighbor Algorithm (NNA) as a constructive heuristic for generating initial solutions. Compared to commonly used methods such as the Clarke–Wright Savings algorithm, NNA provides faster computational performance, simpler implementation, and more stable feasible routes when integrated with robust capacity constraints. Using real CO emission data from major arterials in Medan, the model was evaluated across multiple uncertainty levels (Γ = 0–6). The results show that the robust model reduces overload risk by up to 12%, lowers total emission cost by approximately 5% relative to the deterministic solution, and produces more environmentally efficient routing decisions even when route distance increases slightly. From an analytical perspective, the RO Green-CVRP framework enables evaluation from operational, environmental, and robustness performance dimensions. This research contributes theoretically to green robust optimization and practically supports the development of adaptive, low-emission waste transportation strategies aligned with Medan’s sustainable urban development goals.
Co-Authors Afnaria, Afnaria Afrina Sinaga, Serly Andayani Arianti, Mei Yunina Auliya Ramadhani, Dhea Batubara, Fikri Husin Dongoran, Raisha Zuhaira Dongoran, Raisha zuhiara Dongoran, Rodiani Fairuz, Ersya Nurul Fitriani Fitriani Giawa, Freddy Ginting, Iren Salsalina Br Harahap, Riska Hendra Cipta Hsb, Sumawiyah Ismail Husein, Ismail Jonathan Liviera Marpaung Kartika , Dinda Kinanti, Tri Maisarah Maisarah, Maisarah Marlina, Wenni Melati, Melati Puspita Sari Lubis Muhammad Alfi Syahri Harahap Nasution, Dafa Al Qifti Nasution, Mutiah Novi Ardila Novia, Ayu Novianti Nurainun, Umi Sarah NURUL QOMARIYAH Oktaviana Oktaviana Parapat Gultom Pertiwi, Fina Nur Pratiwi, Ria Widiya Purbowati, Septi Putri, Chindy Aulia Rakhmawati, Fibri Rambe, Feby Mayori Rima Aprilia Rina Filia Sari, Rina Filia Riningsih, Novia Riri Syafitri Lubis Rizkina, Ayu Sajaratud Dur, Sajaratud Salasa Riana, Dwi Sarah, Henny May Sari, Elviana Sembiring, Tesya Yunita Siahaan, Maharani Putri Adam Siregar, Agung Lesmana Siregar, Anggi Ramadany Siregar, Machrani Adi Putri Suhaimi, Syech Sunanda, Bona Dea Susilowati, Rahmi Suyanto Syafitriani Syahfitri Lubis, Riri Yuda, Muhammad Wira