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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 BAREKENG: Jurnal Ilmu Matematika dan Terapan Justek : Jurnal Sains Dan Teknologi Jurnal Pendidikan Matematika (JUDIKA EDUCATION) Query : Jurnal Sistem Informasi Zero : Jurnal Sains, Matematika, dan Terapan ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA 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 Al-Ijtima: Jurnal Pengabdian Kepada Masyarakat Digital Transformation Technology (Digitech) Jurnal Ilmiah Ilmu Terapan Universitas Jambi Jurnal Riset Mahasiswa Matematika JME 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 Physics Social Sciences Transportation Other

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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.
Penguatan Teori Antrian Pada Pengambilan Dana Bantuan Anak Yatim Dan Muslim Lanjut Usia (MUNSIA) di BAZNAS Provinsi Sumatera Utara aprilia, rima; sari, Della Arsita; Syahfitri, Ellysa; Br Damanik, Mahyuni; Batubara, Nuriman Astuti; Panjaitan, Dedy Juliandri
Amaliah: Jurnal Pengabdian Kepada Masyarakat Vol 8 No 1 (2024): Amaliah: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPI UMN AL WASHLIYAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32696/ajpkm.v8i1.3054

Abstract

In an effort to build the people's economy, zakat is an important instrument that has great potential, especially for the development and welfare of the economic life of the community. However, this potential must be managed properly and professionally. There are several functions that are carried out, namely planning, implementing and controlling the collection, distribution, and utilization of zakat and reporting accountability for zakat management. The National Zakat Agency is authorized to collect, distribute, and utilize zakat. Community service carried out at Baznas in order to implement a queue system for withdrawing funds for MUNSIA at BAZNAS to help recipients of assistance receive services faster and not experience long waiting times. So to find out the optimal service performance measure in withdrawing funds for orphans and elderly Muslims, a single-track queue system is needed. In the process of serving recipients of MUNSIA at the BAZNAS office, a single-track queue model can be used. Where there is only one path that takes customers to the service stage. The time required by recipients of orphan and munsia aid funds applies the First Come First Served service where customers who come first will be served first. To optimize the service process for recipients of orphan and munsia aid funds, the Model (M/M/1) queuing theory formula can be used. Based on the results obtained, the performance of the queuing system is still optimal because officers are able to provide services to 90% of the arrivals of 55 recipients of orphan and MUNSIA aid funds.
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.
Co-Authors Adawiyah, Robiyatul Adella Aulia Mukti Afnaria, Afnaria Afsari, Khaila Amanda Ulayyah Mahaputri Anjeli, Sarifah Aprianingsih, Melinda Ardiansyah, Fikri Nur Atika Nabila Ayilzi Putri Batubara, Nuriman Astuti Br Damanik, Mahyuni Br. Rambe, Ramadiani Damanik, Mahyuni Br Damayanti Darmawan, Dian Deasy, Deasy Dedy Juliandri Panjaitan Dewi, Desi Erni Diah Reka Putri Fairuz, Ersya Nurul Fajari Husnul Walid Fazariani, Nabila Fernanda, Fariz Hakim Fibri Rakhamawati Filia Sari, Rina Firmansyah Firmansyah Hasibuan, Riza Sakhbani Heba A. Fayed Hema Pebria Rollingka Hendra Cipta Indah Widya Hanzani Irvan Ginting Ismail Husein, Ismail Khairani, Sabila Klause Roder Laila Agustin Pohan Lisa Setia Ningsih MA, Wilda Syahrani Mahaputri, Amanda Ulayyah 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 . Nasution, Syahronal Hidayat Ningsi, Ria Sagita Nur Iman Nuri Prasuci Prasetya, Nurul Huda Puspita, Reni Putri Rahma Novia Putri, Ayilzi Putri, Chindy Aulia R Maisaroh Rezyekiyah Siregar Rahayu, Tiwi Rahma Aulia Rakhmawati, Fibri Razvan Serban Rina Filia Sari Rina Filia Sari, Rina Filia Rina Widyasari Riri Syafitri Lubis Riri Syahfitri Lubis Rismayani Rismayani Rismayani Rismayani Rivani Kabrina Br Surbakti Riza Sakhbani Hasibuan Sajaratud Dur Sajaratud Dur, Sajaratud Sapta, Andy Sari, Della Arsita Setiawan, Agun 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, Suendri Sugarda, Ahmad Suhaimi, Syech Suhendra, Irfan Sulaiman Ananda Harahap Syahfitri, Ellysa Syahfitri, Sella Syahputri, Nenna Irsa 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 Zakaria, Nur Haryani