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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Statistika dan Komputasi (STATKOM)
Arifat, Muhammad
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Penerapan Metode Naive Bayes Classifier Untuk Klasifikasi Indeks Pembangunan Manusia Di Provinsi Jawa Timur Arifat, Muhammad; Wardiana Adinda Putri; Mufida, Alfin Syayirotin
Jurnal Statistika dan Komputasi Vol. 2 No. 1 (2023): Jurnal Statistika dan Komputasi
Publisher : Universitas Nahdlatul Ulama Sunan Giri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/statkom.v2i1.1661

Abstract

Latar   Belakang: IPM adalah alat ukur pencapaian kualitas hidup suatu negara yang terdiri atas tiga dimensi, yaitu: kesehatan, pengetahuan, dan hidup layak. Terdapat variasi IPM yang cukup signifikan antara kota dan kabupaten. Untuk mengatasi permasalahan ini, perlu adanya klasifikasi IPM di Jawa Timur sebagai acuan pemerataan di seluruh wilayah Jawa Timur. Tujuan : Mendapatkan hasil klasifikasi IPM di Jawa Timur menggunakan metode Naive Bayes Classifier (NBC). Metode : Digunakan metode kuantitatif dengan metode NBC dan software Jupyter Notebook untuk mengklasifikasikan data IPM skala nominal yang didapatkan dari BPS Provinsi Jawa Timur. Faktor-faktor yang dianalisis meliputi Pendapatan Per kapita, Angka Harapan Hidup, Harapan Lama Sekolah, Rata-rata Lama Sekolah, Produk Domestik Regional Bruto, Penduduk Miskin, Jumlah Fasilitas Kesehatan, dan Jumlah Tenaga Kesehatan dengan skala rasio. Hasil: Metode klasifikasi NBC berhasil dipakai untuk memprediksi IPM di Jawa Timur. Data training dan testing yang optimal dengan pembagian 70% dan 30% menghasilkan akurasi 91,6%. Dari 12 data testing, model dapat memprediksi IPM dengan keakuratan 92% dan sensitivitas yang baik pada kelas Sangat Tinggi dan Tinggi. Kesimpulan: Disimpulkan bahwa prediksi IPM di Provinsi Jawa Timur cukup akurat dengan persentase keakuratan mencapai 92%. Model juga memiliki nilai recall yang baik pada kelas Sangat Tinggi dan Tinggi serta cukup pada kelas Sedang.  
THE DESIGN OF STANDARD GRAPH FOR TODDLER GROWTH USES NONPARAMETRIC PENALIZED SPLINE REGRESSION Kartini, Alif Yuanita; Budiani, Jauhara Rana; Arifat, Muhammad
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp917-926

Abstract

One way to carry out early detection of toddler growth is through the Healthy Way Card (KMS). The KMS used in Indonesia does not describe the growth behavior of toddlers. The KMS used is the standard from the World Health Organization (WHO). Apart from that, the growth chart for toddlers at each age will show different patterns. This pattern does not form a linear graph or a particular pattern. Therefore, the Nonparametric Regression method was used using a penalized spline estimator which produces a local Indonesian standard KMS which is used to assess the growth of toddlers. Designing KMS with a confidence interval approach to nonparametric regression values using a penalized spline estimator. Data was obtained from the results of the recapitulation of Posyandu in Bojonegoro from January to December 2023, totaling 120 data. The variables used in this research are the toddler's weight (y) as the response variable and the toddler's age (x) as the predictor variable. In nonparametric regression modeling using a penalized spline estimator with several combinations of numbers and knot point locations. Selection of optimal knot points using minimum Generalized Cross Validation (GCV). Based on the results of the analysis, it shows that there are different times of weight change for male toddlers and female toddlers in Bojonegoro. The weight of male toddlers in Bojonegoro has 3 patterns of change, namely the weight of male toddlers increases drastically until the age of 16 months, then increases slowly until the age of 55 months. Then the weight of male toddlers will increase again drastically after the age of 55 months. Meanwhile, the weight of female toddlers in Bojonegoro has three patterns of change, namely the weight of female toddlers increases drastically until the age of 5 months, then increases slowly until the age of 15 months, and again increases drastically after the age of 15 months. This can be caused by physical differences in babies based on gender. To create a standard chart for toddlers' weight growth based on age, it was analyzed by calculating the percentile values consisting of P3, P15, P50, P85, and P97 for each toddler age category.
Co-Authors Jauhara Rana Budiani, Jauhara Rana Kartini, Alif Yuanita Mufida, Alfin Syayirotin Wardiana Adinda Putri