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All Journal Jurnal Pendidikan Fisika Indonesia JURNAL GALUNG TROPIKA
N Nurhasanah
FKIP UNEJ
Agriculture, Biological Sciences & Forestry Education Physics

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Prediction of Dengue Hemorrhagic Fever Cases Based on Weather Parameters Using Back Propagation Neural Networks (Case Study in Pontianak City) Rahayu, I T; Nurhasanah, N; Adriat, R
Jurnal Pendidikan Fisika Indonesia Vol 15, No 2 (2019)
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpfi.v15i2.19633

Abstract

Research has been conducted by predicting cases of dengue hemorrhagic fever based on weather parameters. The data used are weather parameters in the form of air temperature data, air humidity, rainfall, duration of solar radiation and wind speed as input data and data on dengue hemorrhagic fever cases as the target data. This study aims to see the confirmation of dengue hemorrhagic parameters in Pontianak. The benefit in the field of education is that students and teachers are aware of the dangers of dengue because it can cause death. The method used is back propagation neural networks with the best network architecture in predicting cases of dengue hemorrhagic fever are [50 40 30 1] and binary sigmoid activation function, bipolar sigmoid and linear function. The activation function will determine whether the signal from the neuron input will be forwarded to other neurons and is also used to determine the output of a neuron. Network training correlation value is 0.9995 (very strong correlation) with MSE 0.0001 and network testing is 0.9325 (very strong correlation) with MSE 1.61. Determination coefficient serve as accuracy with values obtained is 0.85, which means that 85% of weather parameters can be used as input in predicting the incidence of dengue hemorrhagic fever in Pontianak City.
Efektifitas Herba Ciplukan (Physalis angulata L.) Sebagai Imunostimulan Kekebalan Unggas Setelah Uji Tantang Virus Newcastle Desease Nurhasanah, N; Yellita, Yulia; Sabrina, S; Ananda, A
Jurnal Galung Tropika Vol 12 No 2 (2023)
Publisher : Fakultas Pertanian, Peternakan dan Perikanan Universitas Muhammadiyah Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jgt.v12i2.1074

Abstract

This research aims to determine the effectiveness of ciplukan herb (Physalis angulata L) in extract and powder preparations as an immunostimulant against the immunity of broilers who have received vaccination and tested against the Newcastle disease virus. The materials used were 96 DOC with an average weight of 35-40 g, ciplukan herb from Luhak Nan Duo, the velogenic strain of Newcastle disease virus from Bvet Lampung, and the commercial vaccine ND Lasota. The study used a completely randomized design (CRD) with 8 treatments and 3 replications. The ciplukan herb was given for 3 days with concentrations: K(-) (without vaccine without ciplukan), K+ (vaccine only), E3 (ciplukan extract 0.35mg/10ml/head + vaccine), E2 (ciplukan extract 0.25mg/head 10ml/head + vaccine), E1 (0.15mg/10ml/head ciplukan extract + vaccine), S3 (17.5mg ciplukan powder/head + vaccine), S2 (12.5mg ciplukan powder/head + vaccine) and S1 (ciplukan powder 7.5mg/head + vaccine). The parameters observed in this study were antibody titer, morbidity, and mortality. The study showed that the administration of ciplukan herb positively affected low antibody titers through the efficiency of cellular defense mechanisms. This herb can also reduce chicken mortality and morbidity after challenge tests against the Newcastle disease virus.
Co-Authors Adriat, R Ananda Ananda Hobri M Muyati P Purwati, P Rahayu, I T Sabrina, S Yulia Yellita