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All Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi JURNAL SILOGISME : Kajian Ilmu Matematika dan Pembelajarannya EIGEN MATHEMATICS JOURNAL Indonesian Physical Review Jurnal Abdi Insani Jurnal Pepadu
Syamsul Bahri
Program Studi Matematika Universitas Mataram
Religion Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences

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Modeling the Number of Infant Mortality in East Lombok using Geographically Weighted Poisson Regression Baiq Urfa Justitiaski; Nurul Fitriyani; Syamsul Bahri
Eigen Mathematics Journal Vol. 5 No. 2 Desember 2022
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v5i2.138

Abstract

Infant mortality is death that occurs at the age of 0 to 1 year. According to the Provincial Health Office, East Lombok is the district with the largest infant mortality rate in NTB. Several factors influence infant mortality: childbirth with medical assistance, low birth weight, health facilities, health workers, and exclusive breastfeeding. These factors have a spatial influence because each region has different geographical, socio-cultural, and economic conditions. Therefore, the method that can be used is GWPR because it can model data with the response variable with a Poisson distribution and pay attention to location or spatial aspects. This study aims to determine the infant mortality model in East Lombok using Geographically Weighted Poisson Regression (GWPR) and to determine the factors that significantly influence the number of infant deaths in East Lombok. Based on the research conducted showed that low birth weight is the only factor that significantly affected infant mortality in 8 sub-districts, including Keruak, Sakra, West Sakra, East Sakra, Terara, Sukamulia, Selong, and Labuhan Haji. The model obtained gives a good estimator, with an R^2 value of 76,44%.
ANALISIS KEMAMPUAN LITERASI BIDANG MATEMATIKA SISWA MADRASAH ALIYAH MANHALUL MA’ARIF DAREK LOMBOK TENGAH BERDASARKAN ANALISIS DATA PISA Muhammad Rijal Alfian; Lailia Awalushaumi; Marwan Marwan; Syamsul Bahri; Bulqis Nebulla Syechah; Nuzla Af’idatur Robbaniyyah
Jurnal Pepadu Vol 4 No 2 (2023): Jurnal Pepadu
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v4i2.2641

Abstract

Kemampuan literasi siswa Indonesia, khususnya bidang matematika masih tergolong rendah. Hal ini tercermin dari peringkat skor PISA (Program for International Student Assesment) dunia yang dirilis oleh OECD (Organization for Economic Cooperation and Development) yang menempatkan siswa Indonesia di posisi ke 71 dari 79 negara. Artikel ini memaparkan sebuah hasil analisis Kemampuan Literasi Bidang Matematika Siswa Madrasah Aliyah Manhalul Ma’arif Darek Lombok Tengah, NTB. Proses analisis diawali dari pemberian soal (pretest) jenis PISA bidang Matematika tanpa perlakuan kepada 35 siswa kelas 10. Selanjutnya dengan metode diskusi dan kerja kelompok untuk meningkatkan Strategi Metakoginisi Membaca persoalan matematika, soal serupa kembali diberikan pada siswa yang sama. Hasil asesmen menunjukkan ada peningkatan signifikan dari 6% siswa menjawab benar pada pretest, menjadi 77% siswa menjawab benar pada postest.
Enhanced Performance of Dynamic Neural Network Model using Wavelet Activation Functions Syamsul Bahri; Lailia Awalushaumi; Nurul Fitriyani
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 14 No 3 (2023): Vol. 14, No. 3 December 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i03.p03

Abstract

Both static and dynamic adaptive neural networks have been broadly utilized in mathematical modeling and numerical analysis. This study aimed to enhance the accomplishment of Dynamic Neural Networks (DNN) models by applying wavelet functions as activation functions. Research that models and forecasts the intensity of solar radiation in Mataram City shows that combining B-Spline and Morlet wavelet activation functions can significantly increase the DNN model performance. Wavelet-DNN (W-DNN) was modeled with an identical architecture; the best showed the increase in the model achievement (0.7596 points for in-sample and 0.8502 points for out-sample data). Mainly for out-sample data, the model's performance using the W-DNN+ intervention model increased by 4.0492 points.
MODEL EPIDEMIK SIR DAN MODEL JARINGAN SYARAF TIRUAN DEMAM BERDARAH DENGUE DI NTB Alfian, Muhammad Rijal; Bahri, Syamsul; -, Marwan; Awalusshaumi, Lailia; Harsiyah, Lisa; Azmi, Kamalatul; Andriani, Helmina
Jurnal Silogisme : Kajian Ilmu Matematika dan Pembelajarannya Vol 8, No 1 (2023): Juni
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/silogisme.v8i1.6202

Abstract

Salah satu masalah kesehatan untuk negara beriklim tropis dan subtropis adalah Demam Berdarah Dengue (DBD). Sepanjang 2021, ada 73.518 kasus DBD di Indonesia dengan 2.697 kasus terjadi di NTB dengan kasus kematian yang disebabkan oleh DBD sebanyak 21 kasus. Penyakit DBD dengan prediksi perkembangan jumlah penderita yang terinfeksi dapat dimodelkan dengan menggunakan model matematis epidemiologi yaitu model persamaan diferensial nonlinear SIR yang diklasifikasi ke dalam tiga kompartemen yaitu S (Susceptible), I (Infectious), dan R (Recovered) serta dapat disimulasikan dengan neural network. Dalam neural network, terdapat ide untuk melakukan pemetaan suatu fungsi pada konsep classifier yaitu pengklasifikasian objek dengan memanfaatkan persamaan linear, ???? = ????(????) untuk meregresi data. Data yang digunakan adalah data sekunder yang bersumber dari Dinas Kesahatan Provinsi NTB. Data yang diperoleh kemudian dianalisis sehingga memperoleh titik keseimbangan. Dari hasil analisis model SIR penyebaran penyakit deman berdarah di NTB diperoleh dua titik keseimbangan namun hanya satu titik yang stabil asimtotik karena semua nilai eigen yang diperoleh bernilai negatif. Nilai dari , artinya titik keseimbangan bebas penyakit demam berdarah di NTB berangsur-angsur akan menghilang.
Co-Authors Awalusshaumi, Lailia Azmi, Kamalatul Baiq Urfa Justitiaski Harsiyah, Lisa Harsyiah, Lisa Helmina Andriani Irwansyah Irwansyah komang nonik afsari dewi Lailia Awalushaumi Lailia Awalushaumi lailia Awalushaumi Lukman Ibrahim Marliadi Susanto Marwan - Marwan Marwan Masriani Masriani Moudy Puspita Ayudhiah Muhammad Luthfie Janariah Muhammad Rijal Alfian Nurul Fitriyani Nurul Fitriyani Nurul Hikmah Nuzla Af'idatur Robbaniyyah Qurratul Aini Sulpaiyah Sulpaiyah