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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Mathematics, Computation and Statistics (JMATHCOS)
Yudistira
Universitas Pattimura
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Mathematics Physics

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The Influence of Parenting Styles of Working and Non-Working Mothers on Children’s Independence Supriatin; Andi Halimah; Yudistira; Sri Saadiyah Leksonowati; Tiar Erawan
Jurnal Penelitian Pendidikan IPA Vol 10 No 2 (2024): February
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i2.6067

Abstract

The purpose of this study was to determine the effect of parenting styles of working and non-working mothers on children's independence. This study is a quantitative study using SPPS version 27. The population consists of two categories, namely working mothers and non-working mothers in Lette Village, Marsio District, South Sulawesi. The sample in this study was 135. The analysis used was multiple linear analysis. The results showed that the parenting of working mothers had a positive and significant effect on children's independence as evidenced by the results of the T-test of 4.87> 1.97 and a p-value of 0.00 <0.05. Parenting patterns of non-working mothers do not have a positive and significant partial effect on children's independence from the results of the T-count -7.88 < 1.97 T-table and p-value 0.00 < 0.05. Parenting of working mothers and parenting of non-working mothers simultaneously have a positive and significant effect on the dependent variable of child independence with the results of F-count 53.84> F-table 3.07 and 0.00 <0.05. Based on the results of the research, it can be concluded that there is a positive and significant effect simultaneously on the parenting style of working and non-working mothers on children's independence.
Klasifikasi Menggunakan Metode Support Vector Machine (SVM) Multiclass pada Data Indeks Desa Membangun (IDM) di Provinsi Maluku Fidyah Latuconsina; Marlon Stivo Noya van Delsen; Yudistira
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.3624

Abstract

Indeks Desa Membangun (IDM) merupakan konsep dasar dalam melakukan pembangunan dan pengembangan potensi desa. IDM terdiri dari Indeks Ketahanan Sosial (IKS), Indeks Ketahanan Ekonomi (IKE), dan Indeks Ketahanan Lingkungan (IKL). Status kemajuan dan kemandirian suatu desa dibagi menjadi beberapa tingkatan yaitu desa mandiri, desa maju, desa berkembang, desa tertinggal, dan desa sangat tertinggal. Penelitian ini bertujuan untuk mengetahui penerapan metode Support Vector Machine (SVM) Multiclass pada klasifikasi IDM di Provinsi Maluku, serta mengetahui tingkat akurasi pengklasifikasian pada IDM di Provinsi Maluku yang dihasilkan menggunakan metode SVM Multiclass. Berdasarkan hasil penelitian, klasifikasi SVM Multiclass dengan menggunakan fungsi kernel yang terbaik terdapat pada kernel linear dengan nilai akurasi sebesar 97,75%. Adapun hasil pengelompokan IDM Provinsi Maluku dengan metode SVM Multiclass fungsi kernel linear adalah sebagai berikut: 75 desa dengan kategori mandiri, 291 desa dengan kategori maju, 585 desa dengan kategori berkembang, 245 desa dengan kategori tertinggal, dan 4 desa dengan kategori sangat tertinggal.
Analisis Potensi Budaya di Provinsi Maluku dengan Pendekatan Statistika Spasial Yudistira; Samsul Bahri Loklomin
Journal of Mathematics, Computations and Statistics Vol. 6 No. 1 (2023): Volume 06 Nomor 01 (April 2023)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Culture advancement as part of a sustainable national development, needs to be supported bydata and information about factual conditions of cultural potential at national, provincial and districtlevel. However, until now there have not been many quantitative studies with subject related to culture.This research was one of efforts made to enrich quantitative studies related to cultural studies, as well asimplemented such knowledges about spatial statistics for cultural data and information. The main methodused in this research was secondary data analysis from various sources related to cultural potential inMaluku Province, which was available down to district level. Some spatial statistic measures used areGlobal Moran index, Local Indicators for Spatial Association (LISA), as well as spatial cross-correlation,which are applied to all variables related to cultural potential in this research. The results of analysisgenerally didn’t show statistically significant of spatial autocorrelation for each of these culturalpotentials. Nonetheless, there were several important results conducted in this research, that would beinteresting to note as basis for formulating cultural development policies in Maluku Province.
Co-Authors Andi Halimah Fidyah Latuconsina Marlon Stivo Noya Van Delsen Samsul Bahri Loklomin Sri Saadiyah Leksonowati Supriatin Tiar Erawan