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All Journal Jurnal Matematika Statistika CAUCHY: Jurnal Matematika Murni dan Aplikasi Gamatika JAIS (Journal of Applied Intelligent System) International Journal of Artificial Intelligence Research APOTEMA : Jurnal Program Studi Pendidikan Matematika Jurnal Matematika: MANTIK Indonesian Journal of Applied Statistics BAREKENG: Jurnal Ilmu Matematika dan Terapan Limits: Journal of Mathematics and Its Applications International Journal of Computing Science and Applied Mathematics Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Variance : Journal of Statistics and Its Applications Jurnal Statistika dan Aplikasinya MOVE: Journal of Community Service and Engagement Jurnal Eurekamatika Pattimura International Journal of Mathematics (PIJMath) JUSTE (Journal of Science and Technology) Jurnal Matematika Integratif
Yopi Andry Lesnussa
Jurusan Matematika Universitas Pattimura
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : Jurnal Matematika Integratif

 1 
Prediction of Life Expectancy in Maluku Province Using Backpropagation Artificial Neural Networks Yopi Andry Lesnussa; Francis Yunito Rumlawang; Endro Risamasu; Charlita Fhilya
Jurnal Matematika Integratif Vol 16, No 2: Oktober 2020
Publisher : Department of Matematics, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (458.907 KB) | DOI: 10.24198/jmi.v16.n2.26606.75-82

Abstract

Life Expectancy at Birth (LE) is defined as the average estimated number of years a person can live to since their birth. The purpose of LE is to represent the health rate of a community. Backpropagation is an algorithm in artificial neural networks (ANN) used to predict or forecast data. This study aims to predict Life Expectancy in Moluccas. Based on the results of the analysis obtained an average forecasting success of 99.65% with the smallest error MAPE = 0,0035. Forecasting for the next 5 years shows that the Life Expectancy value tends to increase over the next 5 years from 2019-2023 at 65.7828 (2019) increasing to 66.6632 (2023).
Sistem Diagnosa Penyakit Dalam dengan Menggunakan Jaringan Saraf Tiruan Metode Backpropagation dan Learning Vector Quantization Zeth Arthur Leleury; Yopi Andry Lesnussa; Julianty Madiuw
Jurnal Matematika Integratif Vol 12, No 2: Oktober, 2016
Publisher : Department of Matematics, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3161.337 KB) | DOI: 10.24198/jmi.v12.n2.11925.89-98

Abstract

Jaringan saraf tiruan telah banyak digunakan untuk membantu menyelesaikan berbagaimacam permasalahan dalam rangka pengambilan keputusan berdasarkan pelatihan yangdiberikan. Jaringan saraf tiruan dapat diaplikasikan pada berbagai bidang dalam kehidupanmanusia, salah satunya bidang kesehatan. Dalam penelitian ini, jaringan saraf tiruandigunakan untuk mendiagnosa Penyakit Dalam dengan menggunakan metode Backpropagationdan Learning Vector Quantization yang selanjutnya akan dibandingkan hasil diagnosa darikedua metode tersebut. Data penelitian sebanyak 266 data, dengan 190 data sebagai datapelatihan dan 76 data sebagai data pengujian yang diambil dari data pasien RSUD Dr. M.Haulussy, Ambon. Dengan menggunakan metode Backpropagation tingkat keakuratandiagnosanya sebesar 61.84% sedangkan dengan menggunakan metode LVQ tingkat keakuratandiagnosanya sebesar 93.42%. Dari hasil penelitian ini metode LVQ dianggap lebih baik dalammendiagnosa Penyakit Dalam.
Co-Authors Abdul Malik Balami Abraham Z Wattimena Abraham Z. Wattimena Abraham Zakaria Wattimena Abraham Zakharia Wattimena Astrid A Titahena Astrid G. Heumasse Aulele, Salmon Notje Berny Pebo Tomasouw C. G. Mustamu Charlita Fhilya Chrisani Waas Citra Fathia Palembang D Patty D. L. Rahakbauw Dewi Ls E R Persulessy E. R. Persulessy Elvinus P. Persulessy Endro Risamasu F. Kondo Lembang Fauzan Samallo Filiany S. Tutupary H. Kelian H. Lellolsima Henry W. M. Patty Hukubun, V Idah, Mus Rika Ilwaru, Venn Yan Ishak Jefri Esna Thomas Radjabaycolle Johan Bruiyf Bension Julianty Madiuw Latumeten, Ralf Lexy Jansen Sinay M. S. Noya Van Delsen M. W. Talakua M. W. Talakua Madiuw, Julianty Marlon Stivo Noya van Delzen Mozart W. Talakua Muhammad Y. Matdoan Muhammad Yahya Matdoan Muhammad Yahya Matdoan Munahaji Lukaraja Mus Rika Idah Nanang Ondi Ondi, Nanang R. J. Djami Rumlawang, F Y Rumlawang, Francis Y RUMLAWANG, FRANCIS YUNITO Set Sasake Sinay, Lexy Jansen Stevanny Tamaela Subchan Subchan Talakua, Mozart Winston Tamaela, Stevanny Umi Sari Rumata Venn Y.I. Ilwaru Yulia S. Kakisina Zakheus Putlely Zeth Arthur Leleury, Zeth Arthur