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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal IPTEK Bagi Masyarakat
Nurjannah Nurjannah
Universitas Islam Negeri Sumatera Utara
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Mathematics Mechanical Engineering Physics Public Health Social Sciences

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Klasifikasi Kelayakan Penerima Bantuan Program Keluarga Harapan Di Desa Cinta Rakyat Menggunakan Metode Weighted Naive Bayes Dengan Laplace Smoothing Nurjannah Nurjannah; Hendra Cipta; Rima Aprilia
Jurnal Matematika, Statistika dan Komputasi Vol. 20 No. 2 (2024): JANUARY 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v20i2.32069

Abstract

The Indonesian government sometimes faces difficulties in dealing with poverty problems.  The Indonesian government utilizes a number of programs and stimulants to overcome the problem of poverty.  The government's PKH program offers conditional assistance to low-income families who have been designated as PKH recipient households.  PKH provision is still below optimal standards, this may be because the data used is not updated frequently.  To assist village officials in determining which residents are eligible to receive PKH assistance, this research tries to classify the eligibility of recipient residents in Cinta Rakyat Village.  With the Weighted Naive Bayes method, classification calculations are not only based on probability distributions but also by adding weights to each attribute to the class.  Assisted with Laplace Smoothing to avoid a probability value of 0. As a result, there are eight factors that determine a person's eligibility to receive PKH assistance, including age, occupation, income, number of family members, number of dependent school children, quality of house, type of floor, and type of walls. As well as classification into eligible and non-eligible groups.  And obtained test results using the Confusion Matrix with an accuracy value of 95.65%, error rate of 4.34%, sensitivity of 100% and specificity of 94.74%.  To identify village communities who deserve PKH assistance, Cinta Rakyat Village administrators can use the findings of this research.  
Analisis Penyebaran HIV/AIDS Menggunakan Simulasi Model SIA (Susceptible, Infected, Abstain) Deva Rezky Ramadhani; Dian Fadila S.; Intan Irfanilia; Nurjannah Nurjannah; Poppy Andriani; Machrani Adi Putri Siregar
Jurnal IPTEK Bagi Masyarakat Vol 2 No 3 (2023)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jibm.v2i3.538

Abstract

HIV/AIDS memiliki risiko tinggi untuk ditularkan melalui kontak seksual, jarum suntik, donor darah, ibu yang menyusui anaknya dan lain-lain. Meningkatnya prevalensi HIV/AIDS di Indonesia terkait dengan rendahnya perilaku pencegahan. Tujuan dari penelitian ini adalah menganalisis penyebaran HIV/AIDS dengan simulasi model SIA. Penelitian ini menggunakan data kuantitatif yang diambil dari data statistik sektoral di Dinas Kominfo Prov Sumut yang dapat diakses melalui laman internet. Hasil akhir menunjukkan bahwa jumlah penduduk yang menularkan semakin meningkat setiap tahunnya, hal ini menunjukkan bahwa penyebaran virus HIV akan selalu meningkat setiap tahunnya.
Co-Authors Deva Rezky Ramadhani Dian Fadila S. Hendra Cipta Intan Irfanilia Poppy Andriani Rima Aprilia Siregar, Machrani Adi Putri