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All Journal Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Majalah Ilmiah Matematika dan Statistika (MIMS) Pattimura International Journal of Mathematics (PIJMath)
Matdoan, Muhammad Yahya
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Mathematics Medicine & Pharmacology

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ESTIMASI PARAMETER REGRESI KUANTIL DENGAN FUNGSI SPLINE TRUNCATED PADA KASUS DEMAM BERDARAH DENGUE DI KOTA SURABAYA Matdoan, Muhammad Yahya; Balami, A M
Jurnal MSA (Matematika dan Statistika serta Aplikasinya) Vol 7 No 1 (2019)
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (367.387 KB) | DOI: 10.24252/msa.v7i1.7511

Abstract

Metode regresi kuantil merupakan perluasan model regresi pada kuantil bersyarat dimana distribusi kuantil bersyarat dari variabel respon dinyatakan sebagai fungsi dari kovariat yang diamati. Spline merupakan potongan polinomial yang kontinu, sehingga dapat menggambarkan karakteristik lokal pada data. Penelitian ini memodelkan Regresi Kuantil dengan Fungsi Spline Truncated pada kasus DBD di Kota Surabaya. Estimasi regeresi kuantil dengan fungsi spline truncated diperoleh koefisien determinasi ( ) sebesar 72% pada kuantil 0,95 dengan menggunakan tiga titik knot. Lebih lanjut diperoleh hasil bahwa faktor utama penyebab penyebaran DBD di Kota Surabaya adalah faktor persentase rumah/bangunan bebas jentik nyamuk Aedes Aegypti, faktor rasio tenaga medis (dokter umum), faktor rasio sarana kesehatan Puskesmas dan faktor persentase rumah tangga yang memiliki tempat sampah sehat. 
Clustering Determinan Tuberkulosis Kabupaten/Kota di Provinsi Maluku Utara Loklomin, Samsul Bahri; Matdoan, Muhammad Yahya; Lema, Hendra
Jurnal MSA (Matematika dan Statistika serta Aplikasinya) Vol 10 No 2 (2022): VOLUME 10 NOMOR 2 TAHUN 2022
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/msa.v10i2.27852

Abstract

Tuberkulosis merupakan salah satu penyebab kematian utama di dunia. Penyakit ini disebabkan oleh bakteri kompleks Mycobacterium tuberculosis yang biasanya menyerang paru-paru. Analisis Cluster adalah teknik statistik untuk mengelompokkan sejumlah besar variabel ke dalam kelompok. Dalam penelitian ini variabel yang digunakan adalah variabel yang dianggap mempengaruhi penyakit Tuberkulosis (TB) di Provinsi Maluku Utara. Provinsi Maluku Utara merupakan salah satu provinsi yang memiliki penyakit TB terbanyak. Dalam penelitian ini menggunakan Analisis Cluster dengan keseluruhan variabel yang diteliti yaitu Kemiskinan (X1), Jumlah Tenaga Medis (X2), Usia (X3), Jenis Kelamin (X4), Tingkat Partisipasi Sekolah (X5), dan Tenaga Kerja (X6) diperoleh 3 Cluster . Klaster 1 terdiri dari 2 kabupaten yaitu Kabupaten Halmahera Selatan dan Kabupaten Halmahera Utara. Klaster 2 terdiri dari 7 kabupaten yaitu Halmahera Barat, Halmahera Tengah, Kepulauan Sula, Kabupaten Halmahera Timur, Kabupaten Pulau Morotai, Kabupaten Pulau Taliabu dan Kabupaten Tidore Kepulauan. Klaster 3 terdiri dari 1 Kota, Kota Ternate. Kata kunci: Analisis Klaster, Tuberkulosis, Provinsi Maluku Utara
Implementasi metode Ward clustering untuk klasterisasi penduduk yang memiliki jaminan kesehatan pada kabupaten dan kota di Provinsi Maluku Matdoan, Muhammad Yahya; Balami, Abdul Malik; Talakua, Mozart Winston
Majalah Ilmiah Matematika dan Statistika Vol 23 No 1 (2023): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v23i1.35168

Abstract

The Health Insurance Program is a protection guarantee for comprehensive health services which includes promotive, preventive and curative and rehabilitative services provided in stages for the community/participants whose contributions are paid by the government. The health insurance program in Maluku Province from year to year has been getting better. However, there are still disparities or gaps between regions in Maluku Province, so it is necessary to study the clusterization of the population who have health insurance in districts/cities in Maluku Province. Ward clustering method is a method that aims to get a cluster that has the smallest possible internal cluster variance. The purpose of this study is to obtain a cluster of residents who have health insurance in districts/cities in Maluku Province. The data used in this study were sourced from Maluku publications in figures at the Maluku Province BPS. This study obtained the results that there are 3 clusters in the cluster of residents who have health insurance in districts/cities in Maluku Province with details of cluster 1 consisting of Tanimbar Islands Regency, Central Maluku, Buru, West Seram, East Seram and South Buru District. Cluster 2 consists of Southeast Maluku Regency, Aru Islands, Southwest Maluku and Tual City. Furthermore, Cluster 3 consists of Ambon City. Keywords: Clustering, health insurance, wardMSC2020: 62H30
Analysis of Online Learning During the Covid-19 Period using the Ordinary Least Square (OLS) Method Matdoan, Muhammad Yahya; Irianto, Wahyu
Pattimura International Journal of Mathematics (PIJMath) Vol 1 No 1 (2022): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (423.106 KB) | DOI: 10.30598/pijmathvol1iss1pp17-26

Abstract

Education is the main capital to create quality human resources to face the challenges of the times that continue to develop rapidly. At the end of 2019, Indonesia experienced an outbreak of the COVID-19 pandemic. It makes learning activities carried out from home or online. Online learning aims to meet educational standards by utilizing information technology using a computer or mobile devices that are interconnected between students and teachers via an internet connection. However, there are several problems in the online learning process, both among teachers and students, as well as the facilities used in learning. The method of least squares (Ordinary Least Square) is one of the estimation methods used to analyze the relationship between the predictor variable (independent variable) and the response variable (dependent variable). This study aimed to identify and analyze online learning problems during the covid-19 pandemic. The data used in this study were sourced from Public Senior High School 11 Ambon, with the variables used being learning motivation (X1), teacher's role (X2), and student learning outcomes (Y). This study concluded that student learning outcomes in online learning at Public Senior High School 11 Ambon were in a low category, student motivation in learning is in the moderate category, and the role of the teacher is in the moderate category. In addition, the variables of learning motivation and the role of the teacher together have a positive effect on student learning outcomes. The amount of the contribution of the influence of learning motivation and the role of the teacher to student learning outcomes at Public Senior High School 11 Ambon is 61.9%, while other factors outside the study influence the remaining 38.1%.
Co-Authors Balami, A M Balami, Abdul Malik Irianto, Wahyu Lema, Hendra Lesnussa, Y A Loklomin, Samsul Bahri M. Patty, H W Mahu, A N Talakua, Mozart Winston