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All Journal JMPM: Jurnal Matematika dan Pendidikan Matematika International Journal of Natural Science and Engineering Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Jurnal Sains Benuanta Jurnal Benuanta Ekspresi: Publikasi Kegiatan Pengabdian Indonesia
Syahdan, St
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Religion Agriculture, Biological Sciences & Forestry Arts Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Solusi Numerik Model Epidemi Seir pada Penyebaran Tuberkulosis dengan Metode Dekomposisi Adomian Christyanti, Ratna Dwi; Syahdan, St
JMPM: Jurnal Matematika dan Pendidikan Matematika Vol 4 No 2: September 2019 - February 2020
Publisher : Prodi Pendidikan Matematika Universitas Pesantren Tinggi Darul Ulum Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/jmpm.v4i2.1677

Abstract

Tuberkulosis (TB) merupakan penyakit menular yang menyerang paru-paru. Dalam program penanggulangan TB, sangat perlu diperhatikan jumlah pasien dengan hasil pengobatan lengkap, meninggal, gagal, default dan pindah. Pada artikel ini, dibangun sebuah model matematika yang menggambarkan tingkat penyebaran infeksi penyakit TB dengan menggunakan metode Dekomposisi Adomian. Kemudian melakukan simulasi terhadap model penyebaran penyakit tersebut. Tahapan metode penelitian meliputi membangun model epidemi SEIR untuk penyebaran penyakit TB; mencari solusi untuk penyebaran penyakit TB dengan menggunakan metode Dekomposisi Adomian; melakukan simulasi berbantuan perangkat lunak; menganalisis hasil simulasi; serta menyimpulkan perilaku model yang dianalisis tersebut. Dari hasil simulasi, ditemukan bahwa model ini cukup baik untuk menggambarkan penyebaran penyakit TB dengan menggunakan parameter yang bersesuaian.
Peramalan Indeks Harga Konsumen (IHK) Kota Tarakan dengan Metode Double Exponential Smoothing dari Brown Syahdan, St; Aisyah, Siti
JMPM: Jurnal Matematika dan Pendidikan Matematika Vol 5 No 1: March - August 2020
Publisher : Prodi Pendidikan Matematika Universitas Pesantren Tinggi Darul Ulum Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/jmpm.v5i1.1748

Abstract

The Tarakan City Consumer Price Index (CPI) shows trend patterns. This research is applied research with the aim of determining the best parameters and forecast results of Tarakan City CPI from January to May 2019 with the Double Exponential Smoothing method from Brown. The results of the Tarakan City CPI forecasting with the best parameters  0,5 with MAPE value = 0,670 from January to May 2019, respectively are 147,652; 148,481; 149,309; 150,138  and  150,966. These results indicate that the forecast of CPI in Tarakan City has increased every month. The higher the CPI value, the faster the inflation rate will have an impact on the rising prices of goods and services. By knowing CPI forecasting that continues to increase, the purchase of inventory of goods and services can be accelerated in order to avoid purchasing higher inventory.
Analysis of the Factors that Cause Dengue Hemorrhagic Fever (DHF) Using Chi-Square Automatic Interaction Detection (CHAID) Syahdan, St; Arif, Abdul; Megawati, Megawati
International Journal of Natural Science and Engineering Vol. 5 No. 3 (2021): October
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.252 KB) | DOI: 10.23887/ijnse.v5i3.41123

Abstract

The low level of public awareness of environmental cleanliness has led to the spread of dengue hemorrhagic fever (DHF). This study aims to identify and analyze the factors that cause dengue hemorrhagic fever (DHF) using the Chi-Square Automatic Interaction Detection (CHAID) method. This type of research is applied research, namely research conducted to apply, test, and evaluate the ability of a theory that is applied in solving practical problems. This research was conducted at the University of Kaltara by taking quantitative data on dengue hemorrhagic fever (DHF) patients recorded at the Bulungan District Health Office. The analytical method used is the Chi-Square Automatic Interaction Detection (CHAID) tree-structured classification method with the Statistical Package for the Social Sciences (SPSS) program. Based on the study results, it was found that five factors caused the occurrence of dengue hemorrhagic fever (DHF) in Bulungan Regency. They are Gender, Age, Work Status, Environment, and Household Income. Based on the CHAID analysis using the IBM SPSS Statistics computer program, a decision tree is formed, which consists of 5 nodes consisting of 1 main node (node 0), one decision node (node 1), and 3 terminal nodes (node 2, 3 and 4). The predictor variables that affect the formation of the decision tree are Age and Household Income. DHF patients can be classified into three different segments from the segmentation decision tree with an estimated risk of 0.273, which means the risk of the wrong classification for DHF status is 27.3%.
Co-Authors Abdul Arif, Abdul Aisyahh, Siti Anak Agung Istri Sri Wiadnyani Arianti, Suci Dady Sulaiman Darmansyah Feliatra Kurniadi, Dwi Megawati - Ratna Dwi Christyanti, Ratna Dwi Rura, Rospina Sari, Ayu Lingga Ratna Siti Aisyah Ulva , Siti Maria Ulva, Siti Maria