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All Journal Jurnal Sains dan Teknologi AKSIOMA: Jurnal Program Studi Pendidikan Matematika CESS (Journal of Computer Engineering, System and Science) ZERO : Jurnal Sains, Matematika dan Terapan INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Desimal: Jurnal Matematika Justek : Jurnal Sains Dan Teknologi Jurnal Pendidikan Matematika (JUDIKA EDUCATION) Query : Jurnal Sistem Informasi Zero : Jurnal Sains, Matematika, dan Terapan AXIOM : Jurnal Pendidikan dan Matematika JOURNAL OF SCIENCE AND SOCIAL RESEARCH Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Math Educa Journal Imajiner: Jurnal Matematika dan Pendidikan Matematika JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) MUKADIMAH: Jurnal Pendidikan, Sejarah, dan Ilmu-ilmu Sosial Indonesian Journal of Education and Mathematical Science Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Mandalika Mathematics and Educations Journal G-Tech : Jurnal Teknologi Terapan Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi FARABI: Jurnal Matematika dan Pendidikan Matematika Leibniz: Jurnal Matematika Mathematics and Applications (MAp) Journal Journal of Mathematics and Scientific Computing With Applications Jurnal Pijar MIPA Journal of Information Systems and Technology Research Jurnal MathEducation Nusantara Fraction: Jurnal Teori dan Terapan Matematika Al-Ijtima: Jurnal Pengabdian Kepada Masyarakat Digital Transformation Technology (Digitech) Jurnal Ilmiah Ilmu Terapan Universitas Jambi Jurnal Riset Mahasiswa Matematika JME JURNAL ILMIAH PENELITIAN MAHASISWA AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Journal of Technology and Computer (JOTECHCOM) Jurnal Pengabdian Mitra Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS) Al-Ijtimā: Jurnal Pengabdian Kepada Masyarakat
Rima Aprilia
Universitas Islam Negeri Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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Penggunaan Model Aritmatik dan Geometrik dalam Laju Pertumbuhan Penduduk di Kota Medan pada Tahun 2029 Syahfitri, Sella; Deasy, Deasy; Sugarda, Ahmad; Aprilia, Rima
AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Vol. 2 No. 1 (2025): AKSIOMA : Jurnal Sains, Ekonomi dan Edukasi
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/2xnt8c71

Abstract

Population growth is an important issue for the country in Indonesia because a significant increase in population growth can lead to a lack of housing for the growing population. This study aims to determine the rate of population growth in the city of Medan by using arithmetic and geometric models to find the results of calculations of the population of the city of Medan in the next 10 years based on standard deviations and correlation coefficients. The use of the arithmetic (linear) model for population growth increases constantly and is not seen from the number of previous populations, while the geometric (exponential) model assumes the number of people seen from how large the previous population is, then the growth every year will be rapid (not fixed). The results show that the geometric model has the smallest standard deviation value of 61,320,657 compared to the arithmetic model with the largest standard deviation value of 61,321,357. It can be concluded that the geometric model is used in calculating the population growth rate of the city of Medan in 2029 because the geometric model has the smallest standard deviation which produces the population in 2020 of 2,301,101 people and in 2029 of 2,501,069
Analisis Pertumbuhan Mendekati Kapasitas Terhadap Status Gizi Anak dengan Model Logistik Aprilia, Rima; Siregar, Aulia Rahman; Fernanda, Fariz Hakim; Suhendra, Irfan; Siregar, Nurmala Sari
AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Vol. 2 No. 1 (2025): AKSIOMA : Jurnal Sains, Ekonomi dan Edukasi
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/ws1rtt04

Abstract

The prevalence of malnutrition in children under five in Indonesia shows an estimate of future nutritional status based on current and past trends. A logistical population model is used in this study, which assumes that at some point in time, the population will reach equilibrium. The purpose of this study is to analyze the nutritional status of children under five aged 0-23 months in 2027 (t=9) using a logistics model. The data used came from the Central Statistics Agency (BPS) between 2016 and 2018, and is predicted for the period 2019 to 2027, assuming that the capacity limit (k) is 10,611.02. This study shows that type I and II logistics models can be used accurately to understand near-capacity growth related to children's nutritional status. The analysis shows that by 2027, it is estimated that there will be 359.35 children under five who will achieve optimal nutritional status.
Forecasting passport application demand using the chen average-based FTS method at the Medan immigration office Laila Agustin Pohan; Aprilia, Rima
Desimal: Jurnal Matematika Vol. 8 No. 3 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i3.202529274

Abstract

The rising demand for passport services in Medan reflects increasing public mobility and highlights the need for accurate forecasting. This study aims to predict the number of passport applications at the Class I Special Immigration Office (TPI) Medan using the Chen Average-Based Fuzzy Time Series method. The research applies a quantitative approach using secondary monthly data from January 2020 to September 2025. The forecasting procedure involves defining the universe of discourse, forming intervals, conducting fuzzification, developing fuzzy logical relationships and groups (FLR/FLRG), and performing defuzzification to produce forecast values. The results indicate that the model effectively captures fluctuations in actual data, achieving a Mean Absolute Percentage Error (MAPE) of 38.61%. These findings classify the model’s accuracy as fairly good for forecasting administrative time series data. Therefore, the Chen Average-Based Fuzzy Time Series method provides a reliable analytical tool for predicting future passport demand and supports improved planning and policy development in immigration services.
DEVELOPMENT OF MATHEMATICS LEARNING USING BATAK CULTURE- BASED MEDIA IN INDONESIA Panjaitan, Dedy Juliandri; Firmansyah, Firmansyah; Sapta, Andy; Aprilia, Rima; Siregar, Annisa Fadhillah Putri
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 9 No. 3 (2025): Volume 9, Nomor 3, September 2025
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v9i3.43196

Abstract

This study aims to develop Batak culture-based domino card learning media to enhance students’ interest and academic achievement in three challenging mathematics topics: trigonometry, integer operations, and logarithms. The research explores how local cultural values, specifically the Batak kinship philosophy Dalihan Na Tolu, can be meaningfully integrated into mathematics instruction. Employing a design-based research (DBR) approach, the study was conducted in seven schools across North Sumatra Province, Indonesia. The development process encompassed media design, expert validation, classroom implementation, and iterative refinement. Instruments utilized included teacher interviews, classroom observations, student questionnaires, and achievement tests. The findings indicate that integrating Dalihan Na Tolu values into game- based learning media provides culturally resonant analogies that enhance students’ understanding of abstract mathematical concepts. In trigonometry, visual and cultural representations helped students distinguish among triangle elements and apply ratio concepts in problem-solving. In the context of integer operations, the domino gameplay facilitated students’ comprehension of signed numbers through contextual scenarios such as altitude and temperature changes. For logarithms, visual simulations and matching exercises supported students in grasping the inverse relationship between exponents and logarithmic expressions. The application of culturally contextualized game-based media not only improved students’ comprehension across all three mathematical topics but also significantly increased their engagement and interest in learning. These findings suggest that incorporating local cultural values into instructional tools can offer an innovative and effective model for advancing mathematics education, particularly in culturally diverse contexts.
SEIR Model for Stunting Risk Dynamics in Children Based on Nutritional Data in North Sumatra Aprilia, Rima; Panjaitan, Dedy Juliandri
Indonesian Journal of Education and Mathematical Science Vol 7, No 1 (2026)
Publisher : Universitas Muhammadiyah Sumatera Utara (UMSU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ijems.v7i1.29193

Abstract

Stunting remains a major chronic nutritional challenge in Indonesia, particularly in North Sumatra Province, where prevalence reaches 21.1% among children aged 2-4 years. This study develops a modified SEIR (Susceptible-Exposed-Infected-Recovered) mathematical model to analyse stunting risk dynamics based on nutritional intake patterns, using secondary data from the BPS, SSGI 2023, and the North Sumatra Health Profile 2023. Model compartments represent susceptible children (S), low-birth-weight infants indicating exposure risk (E), severely malnourished children (I), and recovered children after nutritional intervention (R). Parameter estimation employed least-squares fitting, with numerical simulations conducted over 12 months using a fourth-order Runge-Kutta method implemented in Python. Results reveal declining susceptible population trends alongside increases in the exposed (E: 1,362→1,525) and infected (I: 449→723) compartments, despite rising recovery rates (R: 414→2,900), indicating that current nutritional interventions are insufficient to suppress new stunting risk cases. The basic reproduction number proxy (R₀≈1.20) suggests self-sustaining risk propagation. The model demonstrates good fit to empirical SSGI data (MSE=0.012) and provides a quantitative basis for evidence-based nutritional policy formulation in North Sumatra, particularly targeting high-risk districts (Nias, Mandailing Natal, Langkat) identified through spatial analysis.
Implementation of Recurrent Neural Network with Long Short Term Memory Algorithm for Dengue Fever Prediction in Medan City Rivani Kabrina Br Surbakti; Rima Aprilia; R Maisaroh Rezyekiyah Siregar
Journal of Mathematics, Computations and Statistics Vol. 9 No. 1 (2026): Volume 09 Issue 01 (March 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/fcqd6q15

Abstract

. Dengue Hemorrhagic Fever (DHF) remains one of the major public health problems in Medan City due to the high incidence rate each year. Accurate prediction of DHF cases is essential as an early warning and to support health policy planning. This study aims to implement the Recurrent Neural Network (RNN) with the Long Short-Term Memory (LSTM) algorithm to predict the number of DHF cases in Medan City. The data used consist of monthly DHF cases from each public health center (puskesmas) in Medan City from January 2020 to December 2024, obtained from the Medan City Health Office. The data were preprocessed through normalization and divided into training and testing sets. The LSTM model was developed with several testing scenarios of units, epochs, and batch size, and evaluated using Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). The results showed that the LSTM model could predict DHF cases with relatively low error rates, achieving an RMSE of 2.02 and an MAE of 1.64 at the best configuration. Therefore, it can be concluded that the LSTM algorithm is effective in predicting the number of DHF cases in Medan City and can serve as a reference in prevention and disease control strategies. Keywords: Dengue Hemorrhagic Fever (DHF), Prediction, Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Time Series.
Prioritizing Educational Media for the Golden Age: A PROMETHEE-Based Analysis of Multiple Intelligences Rima Aprilia; Rina Filia Sari; Dedy Juliandri Panjaitan; Heba A. Fayed; Wilia Husna
Journal of Information Systems and Technology Research Vol. 4 No. 2 (2025): May 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i02.1126

Abstract

The golden age is a critical period in a child’s development, spanning from ages 0 to 8, during which learning ability, sensory functions, and emotional potential grow rapidly. At this stage, selecting appropriate educational media is crucial to optimally support the child’s multiple intelligences. In the golden age, the development of a child's memory during this period was excellent. Those at this age have the ability and enthusiasm to learn and the nature of high curiosity. This is one of the reasons for the need to optimize attention during that time. The selection of diverse educational media can determine the success factor in Conducting an analysis of the child's abilities. In this study, the research team will show how to make decisions in the selection of children's educational media by analyzing cognitive, sensory, and emotional potential using the Promethee method. This study aims to determine the most effective educational media for developing cognitive, sensory, emotional, and potential aspects of early childhood using the PROMETHEE method (Preference Ranking Organization Method for Enrichment Evaluation). PROMETHEE is a multi-criteria decision-making (MCDM) approach that helps prioritize alternatives based on predefined evaluation criteria. PROMETHEE in the last 5 years has been rarely used in the selection of educational media for early childhood in analyzing cognitive, sensory, and emotional potential. One of the methods that is often used in the selection of educational media is the ICT method. The research was conducted qualitatively in several regions of North Sumatra, involving parents of young children as key informants. The educational media analyzed included storybooks, puzzles, building blocks, and physical e-books. The response from early childhood to the sample of educational media provided is very diverse. This is based on the criteria tested on the sample. It was found that on average each sample given gave a good response to the child. Each sample given affects the testing criteria, be it cognitive, sensory, potential analysis, or children's emotions. The findings reveal that each media type influences child development differently, with physical e-books receiving the highest preference rankings. These results provide valuable insights for parents and educators in selecting educational tools that best support the optimal development of children's multiple intelligences.
Penerapan Analisis Biplot Robust Singular Value Decomposition Untuk Data Penyakit Jantung Di Kabupaten Karo Siti Maymunah Tarigan; Rima Aprilia
Mandalika Mathematics and Educations Journal Vol 8 No 1 (2026): Edisi Maret
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jm.v8i1.11421

Abstract

Heart disease is one of the leading causes of death worldwide, including in Indonesia. WHO data from 2023 records 17.8 million deaths due to heart disease. Meanwhile, in the Karo region from June 2024 to August 2024, around 1,616 patients suffered from heart disease and received outpatient treatment. The main factors causing heart disease include gender, age, blood pressure, diabetes, cholesterol, family history, and smoking habits. This study aims to analyze risk factors associated with heart disease and visualize the relationship patterns between risk factor variables and heart disease using the RSVD Biplot method. This method detects 5 outliers in congenital heart disease data with a GOF of 51.24% and visualizes the relationships between variables in a two-dimensional space. The results of this study show that the primary factors significantly associated with heart disease are high cholesterol, where smoking leads to increased blood pressure. High blood pressure causes damage to blood vessel walls. Visualizing the relationship patterns between factors related to heart disease makes it easier to see how variables interconnect in low dimensions. Through visualization, we can identify which factors most influence heart conditions. Thus, the RSVD Biplot method provides insight into the complex relationships between risk factors and heart disease, enabling the design of more effective heart disease prevention strategies.
A Hybrid Analytical Hierarchy Process (AHP) and Profile Matching Model for E-Wallet Selection Decisions in Medan City Rahma Aulia; Ismail Husein; Rima Aprilia; Razvan Serban; Klause Roder
ZERO: Jurnal Sains, Matematika dan Terapan Vol 10, No 1 (2026): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v10i1.28629

Abstract

The development of digital payments in Indonesia has increased the complexity of selecting an e-wallet that aligns with user preferences. This study proposes a hybrid DSS integrating AHP and Profile Matching, enhanced by a proportional transformation of AHP weights into ideal values. Unlike conventional approaches that subjectively determine ideal values, this method ensures consistency between criteria weighting and suitability evaluation, thereby reducing bias and improving ranking stability. Data from 100 students across four universities indicate that security dominates (46%), followed by convenience & access (25%), and features & cost (29%), indicating that risk reduction and trust are key adoption factors, in line with technology acceptance theory. OVO achieved the highest score. The hybrid framework reduces subjective bias in ideal-value assignment and improves ranking stability compared to standalone AHP or Profile Matching applications. These findings provide methodological contributions and practical implications for fintech providers.
The comparison between the nearest neighbor algorithm and the a-star algorithm to determine the optimal route for distributing napkin tissue Riri Syafitri Lubis; Rima Aprilia; Ropiqoh Ropiqoh; Silvia Harleni
AXIOM : Jurnal Pendidikan dan Matematika Vol 13, No 1 (2024)
Publisher : State Islamic University of North Sumatra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30821/axiom.v13i1.19977

Abstract

Distribution is a factor that greatly influences the success of a company in selling its products. PT. Medan Jutarasa is a company that operates in the napkin tissue industry and has a Distribution Center (DC) to supply products to distributors. Distribution of products to consumers requires appropriate planning and consideration of which route to use to obtain more time-efficient transportation costs. In the delivery process, the company experienced problems, especially in the distribution route. The Nearest Neighbor algorithm searches for customers to serve based on the shortest distance from the vehicle's last location for further distribution. Meanwhile, the A-Star algorithm finds the shortest path using minimum cost. This research aims to compare the Nearest Neighbor algorithm and the A-Star algorithm to determine the optimal route for distributing tissue napkins by PT. Millionaire Medan. Based on the research results, it was found that the route using the Nearest Neighbor algorithm was more optimal than the A-Star algorithm in the distribution of tissue napkins by PT. Millionaire Medan.
Co-Authors Adawiyah, Robiyatul Adella Aulia Mukti Afnaria, Afnaria Akhiriyah Ramadhani Amanda Ulayyah Mahaputri Anjeli, Sarifah Aprianingsih, Melinda Ardiansyah, Fikri Nur Atika Nabila Ayilzi Putri Damanik, Mahyuni Br Damayanti Darmawan, Dian Deasy, Deasy Dedy Juliandri Panjaitan Della Arsita sari Dewi, Desi Erni Diah Reka Putri Dwi Haprida Ellysa Syahfitri Fairuz, Ersya Nurul Fajari Husnul Walid Farica Luthfiyah Fazariani, Nabila Fernanda, Fariz Hakim Fibri Rakhamawati Fikri Nur Ardiansyah Filia Sari, Rina Firmansyah Firmansyah Hasibuan, Riza Sakhbani Heba A. Fayed Hema Pebria Rollingka Hendra Cipta Indah Widya Hanzani Irvan Ginting Ismail Husein, Ismail Khaila Afsari Klause Roder Laila Agustin Pohan Lisa Setia Ningsih MA, Wilda Syahrani Mahaputri, Amanda Ulayyah Mahyuni Br Damanik Majidah, Nur Marwan Marwan Mawarni Mawarni Mawarni Mawarni Melati, Melati Puspita Sari Lubis Miwadari Miwadari Muhammad Harits Azhari Muhammad Ridwan Mutiara, Tia Nasution, Ainil Hafizha Nasution, Hamidah . Nenna Irsa Syahputri Ningsi, Ria Sagita Nova Audry Utami Nur Haryani Zakaria Nur Iman Nuri Prasuci Nuriman Astuti Batubara Prasetya, Nurul Huda Puspita, Reni Putri Rahma Novia Putri, Ayilzi Putri, Chindy Aulia R Maisaroh Rezyekiyah Siregar Rahayu, Tiwi Rahma Aulia Rakhmawati, Fibri Ramadiani Br. Rambe Razvan Serban Rina Filia Sari Rina Filia Sari, Rina Filia Rina Widyasari Riri Syafitri Lubis Riri Syahfitri Lubis Riska Aulia Rismayani Rismayani Rismayani Rismayani Rivani Kabrina Br Surbakti Riza Sakhbani Hasibuan Ropiqoh Ropiqoh Sabila Khairani Sabrina Nasution Sajaratud Dur Sajaratud Dur, Sajaratud Sapta, Andy Setiawan, Agun Silvia Harleni Siregar, Annisa Fadhillah Putri Siregar, Aulia Rahman Siregar, Machrani Adi Putri Siregar, Nurmala Sari Siti Aisyah Siti Handayani Siti Maymunah Tarigan Sri Wahyuni Suci Pranasari Suendri, Suendri Sugarda, Ahmad Suhaimi, Syech Suhendra, Irfan Sulaiman Ananda Harahap Syahfitri, Sella Syahronal Hidayat Nasution Tanjung, Muhammad Afrizal Tarigan, Umar Abdul Gani Taufik Hidayat Manurung Tri Handayani Triase Triase Usna, Wilia Walid, Fajari Husnul Widyasari, Rina Wilia Husna Wulandari, Mitha Yolandini Eka Putri Yuda, Muhammad Wira Yulinda, Jeni YUSMANIDAR, YUSMANIDAR