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All Journal ZERO : Jurnal Sains, Matematika dan Terapan Desimal: Jurnal Matematika Jurnal Pendidikan Matematika (JUDIKA EDUCATION) MAJAMATH: Jurnal Matematika dan Pendidikan Matematika M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Vygotsky: Jurnal Pendidikan Matematika dan Matematika Imajiner: Jurnal Matematika dan Pendidikan Matematika MES: Journal of Mathematics Education and Science Jurnal Absis : Jurnal Pendidikan Matematika dan Matematika Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Journal of Mathematics and Scientific Computing With Applications Jurnal Informatika Teknologi dan Sains (Jinteks) Abdimas Indonesian Journal Bulletin of Applied Mathematics and Mathematics Education DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Pengabdian Mitra Masyarakat Advance Sustainable Science, Engineering and Technology (ASSET)
Rina Filia Sari, Rina Filia
Fakultas Sains dan Teknlogi UIN Sumatera Utara Medan
Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Optimizing the use of sewing materials to maximize production output Rakhmawati, Fibri; Rifki, Mhd Ikhsan; Husein, Ismail; Cipta, Hendra; Lubis, Riri Syafitri; Sari, Rina Filia
Abdimas Indonesian Journal Vol. 5 No. 2 (2025)
Publisher : Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/aij.v5i2.1043

Abstract

This Community Service Program aims to optimize the use of sewing materials to maximize production output at Rumah Jahit Nila through the application of a linear programming model in the allocation and use of sewing materials in planning and maximizing production output. The implementation methods include mapping processes and data requirements and formulating a linear programming model relevant to the scale of Nila Sewing House MSMEs, as well as training and live demonstrations using QM as software to determine optimization solutions. The evaluation was conducted on 15 participants using a 1–4 Likert scale instrument with four assessment indicators, namely, training content, presenter's subject-matter expertise, event facilities, and benefits of the program. Descriptive analysis showed an overall average of 3.43 on a scale of 4, with a percentage level of 85.8%, which is in the Very Good category. In order, the indicator achievements are Presenter’s Subject-Matter Expertise = 3.53 (88.33%), Benefits of the Program = 3.47 ( 86.67%), Training Content = 3.40 (85.00%), and Event Facilities = 3.33 (83.33%). These results confirm that the competence of the speakers and the relevance of the benefits are the main strengths, while the content and facilities of the activities are areas for priority improvement. This program has successfully improved participants' technical capacity in modeling and implementing linear program-based raw material optimization, while also providing a foundation for operational implementation to reduce waste and increase throughput.
Analisis Model Seirs terhadap Kecanduan Gadget Anak Usia Dini dengan Metode Runge-Kutta Orde-5 Suratna, Ayu Annisa; Cipta, Hendra; Sari, Rina Filia
MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Vol. 6 No. 1 (2023): Vol 6 No 1 Maret 2023
Publisher : Prodi Pendidikan matematika Universitas Islam Majapahit (UNIM), Mojokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36815/majamath.v6i1.2470

Abstract

Penelitian ini membahas tentang kecanduan gadget yang dialami oleh anak usia dini menggunakan model matematika SEIRS, yang kemudian dianalisis menggunakan Runge-Kutta Orde ke-5. Hasil dari penelitian ini adalah model matematika dS/dt=-0.14SI+0.03R, S(0)=5; dE/dt=0.14SI-0.012E, E(0)=22; dI/dt=0.006E-0.01I, I(0)=4; dR/dt=0.01I+0.012E-0.03R, R(0)=19. Dari model tersebut dihasilkan nilai iterasi dengan menggunakan Metode Runge-Kutta orde ke 5 pada waktu t=1 sampai t=3 dan ukuran langkah h=1 . Solusi model matematika SEIRS menghasilkan iterasi yang mengalami kenaikan dan penurunan. Namun, Metode Runge-kutta dinyatakan efektif dalam penyelesaian Model SEIRS karena angka galat yang dihasilkan mendekati nilai 0.
Panel Data Regression Modeling of North Sumatra Province's Gross Regional Domestic Product for 2019-2023 Maylani, Ester; Sari, Rina Filia
Vygotsky: Jurnal Pendidikan Matematika dan Matematika Vol. 7 No. 2 (2025): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/voj.v7i2.1279

Abstract

Regional economic growth is influenced by various factors that need to be analyzed accurately to support the formulation of effective policies. This study aims to analyze the influence of economic factors on the Gross Regional Domestic Product (GRDP) in North Sumatra Province. The main issue raised is the need for an appropriate model to understand the relationship between economic variables and GRDP. This study uses panel data from 33 districts/cities during the period 2019–2023 obtained from official sources. Through Chow, Hausman, and Lagrange Multiplier tests, the Fixed Effect model was selected. The results indicate that population size, number of poor people, and Human Development Index (HDI) significantly influence RDP.
DETERMINATION OF ELIGIBILITY FOR RECEIVING THE FAMILY HOPE PROGRAM ASSISTANCE USING THE EVALUATION BASED ON DISTANCE FROM AVERAGE SOLUTION (EDAS) METHOD Br Pohan, Dian Cinta Hasmi; Husein, Ismail; Sari, Rina Filia
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 2 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i1.1424

Abstract

This study proposes a decision support framework for determining eligibility for Indonesia’s Program Keluarga Harapan (PKH) using the Evaluation Based on Distance from Average Solution (EDAS) method. Seven criteria derived from national social welfare policy were weighted using the Analytic Hierarchy Process (AHP), achieving a consistency ratio of 0.038. The model was applied to 98 household alternatives in Air Merah Village. The resulting assessment scores ranged from 0.0119to 0.7866. A Monte Carlo sensitivity analysis with 5,000 iterations under ±10% ±15% weight perturbations yielded a high Spearman rank correlation (rho = 0.91,95% CI [0.89, 0.93]), indicating strong ranking stability. The EDAS results showed 78% agreement with manual village selection and 80% alignment within the top-20 priority group. The proposed framework reduces subjectivity and improves transparency in beneficiary selection. Limitations include the cross-sectional design and single-location data. The model is scalable and suitable for broader policy implementation.
Peramalan Pertambahan Pasien Rawat Inap dengan Menggunakan Model Support Vector Regression (SVR) Wati, Ririn Indah; Sari, Rina Filia; Widyasari, Rina
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 3 (2026): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v8i3.26830

Abstract

This research aims to see the prediction of the number of patients at the Medan Haji General Hospital in 2022-2023. A hospital is a health service institution that provides complete individual health services, providing inpatient, outpatient and emergency services. In implementing health services, hospitals must maintain medical records to support services and process patient information. This hospital serves all types of groups around North Sumatra. Prediction is the process of forecasting future demand which will include demand in terms of quantity, quality, time and location to meet demand for goods, services or the environment. This research uses the Support Vector Regression (SVR) method. Support Vector Regression (SVR) is a learning system that applies linear functions to a hypothetical feature space with high dimensions. The SVR algorithm concept can produce good forecasting values because SVR has the ability to solve overfitting problems. Overfitting is data behavior during the training phase that results in almost perfect prediction accuracy. Based on the results of data processing using the Support Vector Regression (SVR) method, it can be concluded that the application of the forecasting method in predicting the number of inpatient visits at RSU Haji Medan using the SVR method is carried out by determining predictions using three kernels, namely the RBF, linear and polynomial, then determine the best MSE and RMSE values to then be used as the best kernel. The results of forecasting inpatient visits using the SVR method show that the predicted results have decreased from the previous actual data which is not much different, but the predicted number of inpatients is almost the same every month and experiences insignificant decreases and increases.Keywords: Prediction; Support Vector Regression (SVR).
Co-Authors Adawiyah, Robiyatul Afnaria, Afnaria Alamsyah, Arif Annisa, Nur Alvi Banurea, Yana Wiranta Br Pohan, Dian Cinta Hasmi Fazariani, Nabila Hendra Cipta Hutagalung, Alya Azhrah Ismail Husein, Ismail Khairun Nisa Laoly, Siti Khadijah Marlina, Wenni Maylani, Ester Maysarah, Maysarah Mhd Ikhsan Rifki Nasution, Nur Sangadah Novia, Ayu Nugroho, Bagus Joyo Tirto Nurfitriah, Ratri Pohan, Siti Rolizah Pratiwi, Ria Widiya Putri, Chindy Aulia Rahayu, Tiwi Rakhmawati, Fibri Rima Aprilia Riri Syafitri Lubis Sari, Dinda Permata Siregar, Agung Lesmana Siregar, Anggi Ramadany Sriani Sriani Suhaimi, Syech Suratna, Ayu Annisa Usna, Wilia Wati, Ririn Indah Widyasari, Rina