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All Journal Jambura Journal of Mathematics Jurnal Aisyah : Jurnal Ilmu Kesehatan JMT (Jurnal Matematika dan Terapan)
Izzatul Yazidah, Izzatul
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Health Professions Mathematics Medicine & Pharmacology Nursing Public Health Veterinary

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Comparative Study of Multilayer Perceptron and Recurrent Neural Network in Predicting Population Growth Rate in Brebes Regency Yazidah, Izzatul; Siswanah, Emy
Jambura Journal of Mathematics Vol 7, No 1: February 2025
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v7i1.30199

Abstract

Due to its ever-growing population, Brebes had the biggest population in Central Java from 2020 to 2022. The government of Brebes has to predict the growth rate of the population and prepare the resources and employment opportunities to anticipate this population growth rate. This research aims to analyze the result of growth rate prediction in Brebes using Multilayer Perceptron (MLP) and Recurrent Neural Network (RNN). These two methods are applied to determine the most suitable one to predict the population growth rate. This is determined by comparing the smallest MAPE value of these two methods. The analyzed data of the total population from 1991-2022 is taken from Badan Pusat Statistik (BPS) of Brebes. The percentage of division between training and testing data is 80%:20%. According to the research results, the recurrent neural network is the most suitable method, with the smallest MAPE being 1.9973%.
The Coefficient of the Generating Function in the Form of a Lower Hessenberg Matrix Khasanah, Nur; Yazidah, Izzatul; Masvika, Hendra
JMT (Jurnal Matematika dan Terapan) Vol. 6 No. 2 (2024): JMT (Jurnal Matematika dan Terapan)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jmt.6.2.5

Abstract

This study aims to obtain the generating function with the lower Hessenberg matrix coefficients. The method used is to use Cramer's rule. The result of this research is the generating function which consists of a power series which is a collection of several terms.
Effectiveness of ABPK as a decision-making tool in choosing the right contraception for new acceptors at TPMB Nur Handayani in 2024 Yanuarti, Tuty; Handayani, Nur; Yazidah, Izzatul; Lishanawati, Rd. Emilia; Yani, Sanda Ummu Lutfi Ahk; Saputra, Novitasari; Larasati, Woro; Novita, Novita
Jurnal Aisyah : Jurnal Ilmu Kesehatan Vol 9, No 2 (2024): September
Publisher : Universitas Aisyah Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30604/jika.v9i2.2814

Abstract

Indonesia, with amount resident reached 281.603 million souls in 2024, ranked fourth world. As a developing country, Indonesia faces challenge big related growth residents who still high. For control birth, especially post childbirth, planning family through contraception becomes important. Use contraception post labor can lower number death mother (AKI) and increase amount new KB acceptor, which is objective main family program planning in Indonesia. For evaluating effectiveness of ABPK as tool taking decision in choose appropriate contraception in acceptors new at TPMB Nur Handayani Year 2024. This research use Quasi Experiment with Two Group Pre-test Post-test Design. The sample consists of 40 selected respondents with technique total sampling. Data analysis using the Wilcoxon Signed Rank Test statistical test. The results of the study show that Group A using ABPK has the average value (mean) is 10.50 with Z score -3.963b and P-Value 0.001. Group B, which does not using ABPK has the same average value, but with Z score -4.234b and P-Value 0.001. These results show that ABPK is more effective in help acceptor choose proper contraception compared to without ABPK ABPK proven effective as tool help taking decision in choose appropriate contraception in acceptors new at TPMB Nur Handayani 2024. It is expected public can utilize ABPK for make more decisions appropriate in choose contraception, which in turn support success of family program planning.
Co-Authors emy siswanah, emy Larasati, Woro Lishanawati, Rd. Emilia Masvika, Hendra Novita Novita Nur Handayani Nur Khasanah Saputra, Novitasari Tuti Yanuarti Yani, Sanda Ummu Lutfi Ahk