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All Journal AXIOM : Jurnal Pendidikan dan Matematika Jurnal Serunai Matematika SEPREN: Journal of Mathematics Education and Applied Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika
Silvia Harleni
STKIP Budidaya
Decision Sciences, Operations Research & Management Education Mathematics Other

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Penerapan Principal Component Analysis untuk Menentukan Faktor yang mempengaruhi Jumlah Kasus Demam Berdarah Dengue di Sumatera Utara Silvia Harleni
Sepren Vol 4 No 01 (2022): Edisi November 2022
Publisher : Prodi Pendidikan Matematika FKIP Universitas HKBP Nommensen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36655/sepren.v4i01.788

Abstract

Demam Berdarah Dengue adalah penyakit karena virus bawaan nyamuk Aedes melalui gigitannya. Dari hasil laporan Dinas Kesehatan Provinsi Sumut, jumlah kasus DBD berfluktuasi. Namun, dari tahun 2017 hingga 2019 jumlah kasus DBD meningkat. Tujuan penelitian ini adalah mengetahui faktor-faktor yang mempengaruhi jumlah kasus DBD di Sumatera Utara berdasarkan data tahun 2020 menggunakan Principal Component Analysis. Principal Component Analysis merupakan teknik reduksi data multivariat dengan mengubah data menjadi sekumpulan kombinasi-kombinasi linier yang lebih sedikit, Namun mengambil hampir sebagian besar varians dari data awal. Dari 6 variabel bebas yaitu kepadatan penduduk, persentase kemiskinan, jumlah sarana kesehatan, jumlah tenaga kesehatan, persentase rumah tangga dengan akses sanitasi layak, dan persentase rumah kumuh, diperoleh dua variabel baru yaitu kondisi lingkungan (K1) dan kondisi perumahan (K2). Kondisi lingkungan (K1) dapat menjelaskan 3.512 dari total communalities dengan persentase keanekaragaman 58,538%. Sedangkan kondisi rumah (K2) menjelaskan 1.663 dari total communalities dengan persentase keragaman 27,718%.
Pengaruh Model Pembelajaran Kooperatif Tipe STAD Berbantuan Puzzle Terhadap Hasil Belajar Aljabar Siswa Kelas VII SMP Swasta PAB 13 KW. Begumit Ismi Sisdaila; Silvia Harleni; Lilis Saputri
Jurnal Serunai Matematika Vol 14, No 2 (2022): JURNAL SERUNAI MATEMATIKA (JSM)
Publisher : STKIP Budidaya Binjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37755/jsm.v14i2.662

Abstract

Tujuan penelitian ini adalah untuk mengetahui pengaruh model pembelajaran kooperatif tipe STAD berbantuan puzzle terhadap hasil belajar aljabar siswa kelas VII SMP Swasta PAB 13 Kw. Begumit tahun pelajaran 2021/2022. Jenis penelitian ini adalah penelitian quasi eksperimen dengan desain one group pretest postest design. Populasi dalam penelitian ini adalah 56 orang siswa kelas VII SMP Swasta PAB 13 Kw Begumit tahun pelajaran 2021/2021, sedangkan jumlah sampelnya yaitu kelas VII-1 dengan jumlah 28 orang siswa. Berdasarkan hasil penelitian dan pembahasan dapat disimpulkan bahwa terdapat pengaruh model pembelajaran kooperatif tipe STAD berbantuan puzzle terhadap hasil belajar aljabar siswa kelas VII SMP Swasta PAB 13 Kw. Begumit tahun pelajaran 2021/2022. Adapun pengaruh positif dari penerapan model pembelajaran kooperatif tipe STAD berbantuan puzzle terhadap hasil belajar aljabar siswa adalah proses pembelajaran menjadi lebih aktif, inovatif, kreatif, efektif, menyenangkan dan meningkatkan hasil belajar aljabar siswa.
ANALISIS DIAGNOSTIK VARIABEL CUACA UNTUK ESTIMASI POLA CURAH HUJAN DI MEDAN MENGGUNAKAN MODEL BAYESIAN VECTOR AUTOREGRESSIVE Winda Yuniar Ambarita; Sajaratud Dur; Silvia Harleni
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i3.470

Abstract

The territory of Indonesia is located in a strategic position in the tropics. Indonesia is in a position where the equator passes, making it vulnerable to changes in weather and climate. Big cities are increasingly facing many global challenges, so that the effects of climate change are causing urban areas to become more vulnerable to disasters. The city of Medan is one of the big cities that has been recognized as having different characteristics from the surrounding climate, which still has quite a lot of natural elements. Various community activities in Medan City can change the composition of the atmosphere which causes changes in the characteristics of the microclimate which will affect the weather and climate. Weather and climate have a dynamic relationship with other weather elements such as air humidity, air temperature and rainfall. Weather and climate patterns often do not match the pattern they should and are difficult to predict. The main elements of weather are temperature and rainfall, knowing the temperature and rainfall of an area can be used as material to describe the weather in that area. In expressing rainfall in an area, the relationship between air humidity, air temperature and wind direction and speed is very influential. Knowing the pattern of rainfall is very important to do in several activities. So that a diagnostic analysis of weather variables is needed to estimate rainfall patterns in the city of Medan using the bayesian vector autoregressive (BVAR) model. The estimation results using the Bayesian Vector Autoregressive (BVAR) model for Medan City found that the highest rainfall occurred in September at 571.87 mm and the lowest occurred in January at 54.59 mm with a method accuracy rate of 4.75% which indicates that the use of the BVAR method in estimation is very accurate
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 Ismi Sisdaila Rima Aprilia Riri Syafitri Lubis Ropiqoh Ropiqoh Sajaratud Dur Saputri, Lilis Winda Yuniar Ambarita