Responsivitas Dinas Kesehatan Kabupaten Sragen dalam Upaya Mengurangi Angka Stunting pada Balita

Widyawati, Erna; Sudaryanti, Sudaryanti

doi:10.20961/wp.v2i1.63281

Cited by 2 publications

(4 citation statements)

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“…Kondisi tubuh anak yang pendek seringkali dikatakan sebagai faktor keturunan (genetik) dari kedua orang tuanya, sehingga masyarakat banyak yang hanya menerima tanpa berbuat apa-apa untuk mencegahnya. Padahal seperti kita ketahui, genetika merupakan faktor determinan kesehatan yang paling kecil pengaruhnya bila dibandingkan dengan faktor perilaku, lingkungan (sosial, ekonomi, budaya, politik), dan pelayanan Kesehatan (Widyawati, 2022). Stunting merupakan masalah yang sebenarnya bisa dicegah.…”

Section: Kajian Pustakaunclassified

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Optimalisasi Kader Posyandu Aster dalam Pencegahan Stunting di RW 02 Kelurahan Rejosari Kecamatan Tenayan Raya Kota Pekanbaru

Febtrina,

Adelia,

Kharisna

et al. 2023

Creat J. Cumn Enga

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ABSTRAK World Health Organization (WHO) telah mengusulkan target global penurunan kejadian stunting pada Balita sebesar 40% pada tahun 2025, Namun Angka kejadian stunting di wilayah kerja Puskesmas Rejosari Kota Pekanbaru tahun 2022 terus mengalami peningkatan. Melakukan pengabdian masyarakat berupa optimalisasi pencegahan stunting pada Kader Posyandu di RW 02 Kelurahan Rejosari Kecamatan Tenayan Raya Kota Pekanbaru, Provinsi Riau. Melakukan FGD dengan Kader Posyandu Aster di RW 02 Kelurahan Rejosari Kecamatan Tenayan Raya Kota Pekanbaru, Provinsi Riau. Kegiatan ini dilakukan pada bulan Desember 2022. FGD didapatkan masih ditemukan balita stunting di Posyandu Aster dan dilakukan langkah pencegahan berupa pemberian edukasi pada kader dan pembuatan mading stunting di Posyandu Aster. Kegiatan ini berjalan lancar dan dapat diterapkan pada POSYANDU lainnya. PUSKESMAS harus melakukan pemantauan dan berkelanjutan terhadap kelompok sasaran untuk keberlanjutan program. Kata Kunci: Stunting, Edukasi, Kader ABSTRACT By 2025, the World Health Organization (WHO) wants to see a 40% decrease in the prevalence of stunting in children under five. However, in 2022, there were more stunting incidents at the Rejosari Health Center's working region in Pekanbaru City. Optimizing stunting prevention for Posyandu Cadres in RW 02 Rejosari Village, Tenayan Raya District, Pekanbaru City, Riau Province is the purpose of this act of community service. Using FGDs with Aster Posyandu Cadres in Tenayan Raya District, RW 02, Rejosari Village, Pekanbaru City, Riau Province. This action took place in December 2022. FGD revealed that stunting toddlers were still present at Aster Posyandu; hence, preventive interventions such as education were implemented. This activity went well and can be applied to other POSYANDU. Community Health Centers must carry out ongoing and monitoring of the target group for program sustainability. Keywords: Stunting, Education, Cadres

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Section: Kajian Pustakaunclassified

“…Penangan stunting dilakukan melalui Intervensi Spesifik dan Intervensi Sensitif pada sasaran 1.000 hari pertama kehidupan seorang anak sampai berusia 6 tahun. Terdapat 3 pilar pencegahan stunting yaitu pola makan, pola asuh serta sanitasi dan akses air bersih (Widyawati, 2022). 1.…”

Section: Kajian Pustakaunclassified

Optimalisasi Kader Posyandu Aster dalam Pencegahan Stunting di RW 02 Kelurahan Rejosari Kecamatan Tenayan Raya Kota Pekanbaru

Febtrina,

Adelia,

Kharisna

et al. 2023

Creat J. Cumn Enga

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“…Considering an annual birth rate of 2.4% in Indonesia, an additional 60,000 cases were obtained over the last decade. And the concern for the health of the sense of hearing, which is still minimal [6].…”

Section: Introductionmentioning

confidence: 99%

“…Hayat & Soenandi Journal of Information Systems Engineering and Business Intelligence, 2024, 10 (1),[1][2][3][4][5][6][7][8][9][10][11][12] …”

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confidence: 99%

Hybrid Architecture Model of Genetic Algorithm and Learning Vector Quantization Neural Network for Early Identification of Ear, Nose, and Throat Diseases

Hayat,

Soenandi

2024

J. Inf. Syst. Eng. Bus. Intell.

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Background: In 2020, the World Health Organization (WHO) estimated that 466 million people worldwide are affected by hearing loss, with 34 million of them being children. Indonesia is identified as one of the four Asian countries with a high prevalence of hearing loss, specifically at 4.6%. Previous research was conducted to identify diseases related to the Ear, Nose, and Throat, utilizing the certainty factor method with a test accuracy rate of 46.54%. The novelty of this research lies in the combination of two methods, the use of genetic algorithms for optimization and learning vector quantization to improve the level of accuracy for early identification of Ear, Nose, and Throat diseases. Objective: This research aims to produce a hybrid model between the genetic algorithm and the learning vector quantization neural network to be able to identify Ear, Nose, and Throat diseases with mild symptoms to improve accuracy. Methods: Implementing a 90:10 ratio means that 90% (186 data) of the data from the initial sequence is assigned for training purposes, while the remaining 10% (21 data) is allocated for testing. The procedural stages of genetic algorithm-learning vector quantization are population initialization, crossover, mutation, evaluation, selection elitism, and learning vector quantization training. Results The optimum hybrid genetic algorithm-learning vector quantization model for early identification of Ear, Nose, and Throat diseases was obtained with an accuracy of 82.12%. The parameter values with the population size 10, cr 0.9, mr 0.1, maximum epoch of 5000, error goal of 0.01, and learning rate (alpha) of 0.5. Better accuracy was obtained compared to backpropagation (64%), certainty factor 46.54%), and radial basic function (72%). Conclusion: Experiments in this research, successed identifying models by combining genetic algorithm-learning vector quantization to perform the early identification of Ear, Nose, and Throat diseases. For further research, it's very challenging to develop a model that automatically adapts the bandwidth parameters of the weighting functions during trainin Keywords: Early Identification, Ear-Nose-Throat Diseases, Genetic Algorithm, Learning Vector Quantization

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Responsivitas Dinas Kesehatan Kabupaten Sragen dalam Upaya Mengurangi Angka Stunting pada Balita

Cited by 2 publications

References 1 publication

Optimalisasi Kader Posyandu Aster dalam Pencegahan Stunting di RW 02 Kelurahan Rejosari Kecamatan Tenayan Raya Kota Pekanbaru

Optimalisasi Kader Posyandu Aster dalam Pencegahan Stunting di RW 02 Kelurahan Rejosari Kecamatan Tenayan Raya Kota Pekanbaru

Hybrid Architecture Model of Genetic Algorithm and Learning Vector Quantization Neural Network for Early Identification of Ear, Nose, and Throat Diseases

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