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All Journal ZERO : Jurnal Sains, Matematika dan Terapan Desimal: Jurnal Matematika Jurnal Pendidikan Matematika (JUDIKA EDUCATION) M A T H L I N E : Jurnal Matematika dan Pendidikan 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 Journal of Computer Networks, Architecture and High Performance Computing Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal IPTEK Bagi Masyarakat Journal of Mathematics and Scientific Computing With Applications Journal of Information Systems and Technology Research Jurnal Informatika Teknologi dan Sains (Jinteks) Bulletin of Applied Mathematics and Mathematics Education DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Garuda Pengabdian Kepada Masyarakat
Rina Filia Sari, Rina Filia
Fakultas Sains dan Teknlogi UIN Sumatera Utara Medan
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Analisis Kualitas Tidur Berdasarkan Gaya Hidup Menggunakan Metode Fuzzy Tsukamoto Nugroho, Bagus Joyo Tirto; Sari, Rina Filia; Sriani, Sriani
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 6, No 1: JUNI 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v6i1.6256

Abstract

Kualitas tidur mempunyai peranan penting dalam menjaga kesehatan fisik dan mental, serta mempengaruhi kinerja seseorang sehari-hari. Tidur yang cukup dan berkualitas membantu tubuh dalam proses pemulihan, memperkuat sistem kekebalan tubuh, memperbaiki jaringan, dan memulihkan energi. Selain itu, kualitas tidur yang baik dapat menurunkan risiko penyakit kronis seperti diabetes, jantung, dan hipertensi dengan menjaga keseimbangan hormonal dan metabolisme. Salah satu metode yang efektif dalam mengatasi ketidakpastian dan variabilitas data adalah metode fuzzy Tsukamoto. Penelitian ini bertujuan untuk: (1) menganalisis pengaruh gaya hidup terhadap kualitas tidur, (2) membangun model prediktif kualitas tidur menggunakan fuzzy Tsukamoto, dan (3) memberikan rekomendasi yang dipersonalisasi untuk meningkatkan kualitas tidur berdasarkan profil gaya hidup individu. Model fuzzy Tsukamoto berhasil diterapkan dalam mengevaluasi kualitas tidur dengan variabel input durasi tidur, aktivitas fisik, detak jantung dan jumlah langkah harian. Dari 374 responden, sebanyak 3,2% (12 responden) memiliki kualitas tidur buruk, 86,9% (325 responden) memiliki kualitas tidur cukup, dan 9,9% (37 responden) memiliki kualitas tidur baik.
Prioritizing Educational Media for the Golden Age: A PROMETHEE-Based Analysis of Multiple Intelligences Aprilia, Rima; Sari, Rina Filia; Panjaitan, Dedy Juliandri; Fayed, Heba A.; Husna, Wilia
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.
Analysis of optimization waste transportation using saving matrix and floyd warshall methods in Binjai Sari, Dinda Permata; Sari, Rina Filia
Desimal: Jurnal Matematika Vol. 7 No. 1 (2024): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v7i1.21887

Abstract

Waste is defined as anything that is not utilized or discarded. Waste is not something that happens by itself; instead, it is a product of human activity. Unresolved problems are often caused by waste. Binjai City's waste problem is one example. In Binjai City, waste transportation is done once a day. The capacity of the truck is only 6–8 m3 or 3-5 tons, so if it is full, the waste is immediately transported to the landfill. Then the collection of waste at each TPS is not possible. Optimization of waste transportation routes using Floyd Warshall and Saving Matrix techniques is one way to overcome this problem. When scheduling cars, the Savings Matrix approach can be used to combine multiple delivery points and take into account the maximum capacity of the vehicle. The Floyd Warshall method is a dynamic programming component that is well suited to solving route optimization problems and can find every potential path between any two locations. Based on an analytical procedure that includes the Floyd Warshall algorithm and the Saving Matrix. These two routes of 29.46 kilometers were first used by the Environmental Agency of Binjai City. 20.63 km is the overall distance when using Saving Matrix, and 23.55 km is the overall distance when using Floyd Warshall. This shows that the Saving Matrix approach is more successful in reducing travel costs and distance.
Spatial Autoregressive Quantile Regression untuk Pemodelan Angka Harapan Hidup di Provinsi Sumatera Utara Marlina, Wenni; Sari, Rina Filia
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 2 August 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i2.32367

Abstract

Life Expectancy (LE) is a key indicator for assessing the level of public health. North Sumatra Province still faces challenges in improving its LE, which remains below the national average. This study aims to compare three spatial models, namely: SAR, RSAR, and SARQR to model HLI in North Sumatra. Secondary data from 2023 for 33 districts/cities were obtained from the North Sumatra Provincial Statistics Agency, with HLI as the dependent variable and seven independent variables. The analysis began with multiple linear regression and classical assumption tests, followed by the formation of a spatial queen contiguity matrix, spatial effect tests (Moran's Index and Lagrange Multiplier), and modeling using the three spatial regression approaches. The results indicate that SARQR at the 0.1 quantile is the best model with the lowest AIC value (23.7764) and superiority in addressing spatial outliers. Therefore, SARQR at the 0.1 quantile is recommended as the optimal model for modeling AHH in North Sumatra.
Peramalan Tingkat Kematian Neonatal Bayi Menggunakan Metode Fuzzy Time Series Chen Pada Tahun 2025 Pohan, Siti Rolizah; Sari, Rina Filia
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 7, No 4 (2025): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v7i4.23485

Abstract

Kematian neonatal merupakan indikator penting dalam menilai kondisi kesehatan masyarakat, khususnya pada bayi baru lahir usia 0–28 hari. Fluktuasi angka kematian neonatal dari tahun ke tahun di berbagai daerah menimbulkan kekhawatiran dan memerlukan pendekatan prediktif yang akurat. Penelitian ini bertujuan untuk meramalkan jumlah kematian neonatal pada tahun 2025 di Provinsi Sumatera Utara menggunakan metode Fuzzy Time Series (FTS) model Chen. Data sekunder diperoleh dari Dinas Kesehatan Provinsi Sumatera Utara, mencakup angka kematian neonatal tahunan pada 33 kabupaten/kota dari tahun 2018 hingga 2023 dengan total 198 data. Hasil peramalan menunjukkan bahwa jumlah kematian neonatal pada tahun 2025 diprediksi sebanyak 766 kasus, menurun dari proyeksi tahun 2024 yaitu 796 kasus. Nilai akurasi model diukur menggunakan Mean Absolute Error (MAE) dan Root Mean Square Error (RMSE) dengan hasil menunjukkan tingkat kesalahan yang relatif rendah, sehingga model ini dinilai layak digunakan dalam mendukung pengambilan kebijakan kesehatan di masa mendatang.
Co-Authors Afnaria, Afnaria Alamsyah, Arif Andini, Qonita Putri Anggitasyah, Debi Annisa, Nur Alvi Banurea, Yana Wiranta Dedy Juliandri Panjaitan Fayed, Heba A. Fazariani, Nabila Hasibuan, Hani Maulida Husna, Wilia Hutagalung, Alya Azhrah Khairun Nisa Marlina, Wenni Nasution, Nur Sangadah Novia, Ayu Nugroho, Bagus Joyo Tirto Pohan, Siti Rolizah Pratiwi, Ria Widiya Rahayu, Atika Rahayu, Tiwi Rakhmawati, Fibri Rima Aprilia Riri Syafitri Lubis Ruth Mayasari Simanjuntak Sari, Dinda Permata Siregar, Agung Lesmana Siregar, Anggi Ramadany Suhaimi, Syech Usna, Wilia Widyasari, Rina Yunisa, Fahira Audri