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All Journal Variance : Journal of Statistics and Its Applications Jurnal Pengabdian Inovasi Masyarakat Indonesia IJASDS: Indonesian Journal of Applied Statistics and Data Science
Nur Asmita Purnamasari
Universitas Mataram
Agriculture, Biological Sciences & Forestry Chemistry Economics, Econometrics & Finance Education Environmental Science Mathematics Public Health Social Sciences Other

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Pengenalan Teori Permainan dan Statistika Dasar ke Siswa SMAN 1 Selong dengan Pendekatan MSJ Ayes Malona Siboro; Bulqis Nebulla Syechah; Dina Eka Putri; Fariz Maulana; I Gede Adhitya Wisnu Wardhana; Irwansyah Irwansyah; Lailia Awalushaumi; Lalu Hasan Ghoffari; Lalu Riski Wirendra Putra; Muhammad Naoval Husni; Nur Asmita Purnamasari; Nuzla Af'idatur Robbaniyyah; Salwa Salwa; Qurratul Aini; Zata Yumni Awanis
Jurnal Pengabdian Inovasi Masyarakat Indonesia Vol. 2 No. 2 (2023): Edisi Agustus
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpimi.v2i2.2893

Abstract

The community engagement activity carried out by the teaching team from the Mathematics Program of the Faculty of Mathematics and Natural Sciences at Universitas Mataram to SMAN 1 Selong has successfully introduced students to the importance of statistics and game theory in decision-making. Through stories and real-life cases, students are encouraged to consider factors such as averages and standard deviations in making informed decisions. They also learn about the story of John Nash, who discovered game theory, and compare it to the economic principles of Adam Smith. Students realize that collective interests can lead to better outcomes than personal interests. In the case of The Prisoner's Dilemma, students also see the importance of game theory in the context of collective decision-making. Overall, this activity helps students understand the importance of statistics and game theory in the decision-making process.
MODEL REGRESI DATA PANEL PADA TINGKAT KRIMINALITAS DI PROVINSI NUSA TENGGARA BARAT DENGAN MENGGUNAKAN FIXED EFFECT MODEL Nurwahyuni Indah Nurwahyuni; Zulhan Widya Baskara; Nur Asmita Purnamasari
VARIANCE: Journal of Statistics and Its Applications Vol 5 No 2 (2023): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol5iss2page169-184

Abstract

Kriminalitas merupakan salah satu permasalahan yang banyak terjadi dilingkungan masyarakat. Pada tahun 2020, Nusa Tenggara Barat menempati posisi kedelapan dengan jumlah kejahatan terbanyak di Indonesia. Agar angka kriminalitas tidak mengalami kenaikan maka perlu diketahui faktor-faktor yang mempengaruhinya. Dalam penelitian ini, faktor yang digunakan yaitu tingkat pengangguran, pendidikan dan jumlah penduduk di sepuluh kabupaten/kota di Nusa Tenggara Barat pada tahun 2016-2020. Penelitian ini bertujuan untuk mengetahui model regresi data panel dan bagaimana pengaruh faktor tingkat pengangguran, tingkat pendidikan dan jumlah penduduk terhadap angka kriminalitas. Metode analisis yang digunakan adalah Fixed Effect Model dengan pendekatan Least Square Dummy Variable (LSDV). Faktor pengangguran dan tingkat pendidikan memiliki pengaruh yang tidak signifikan terhadap angka kriminalitas. Sedangkan faktor jumlah penduduk berpengaruh signifikan terhadap angka kriminalitas. Kata Kunci: Fixed Effect Model, jumlah penduduk, kriminalitas, Least Square Dummy Variable (LSDV), pengangguran, tingkat pendidikan. Abstract: Crime is one of the most common problems in society. In 2020, West Nusa Tenggara occupies the eighth position with the highest number of crimes in Indonesia. So that the crime rate does not increase, it is necessary to know the factors that influence it. In this study, the factors used were unemployment rate, education and population in ten districts cities in West Nusa Tenggara in 2016-2020. This study aims to determine the panel data regression model and how factors influence the unemployment rate, education level and population on crime rates. The analytical method used is the Fixed Effect Model with the Least Square Dummy Variable (LSDV) approach. Unemployment and education level factors have no significant effect on the crime rate. While the population factor has a significant effect on the crime rate. Keywords: Fixed Effect Model, Least Square Dummy Variable (LSDV), crime, unemployment, education level, population.
Perbandingan Regresi Nonparametrik Kernel dan Spline pada Pemodelan Hubungan antara Rata-Rata Lama Sekolah dan Pengeluaran per Kapita di Indonesia Muhammad Syahrul; Humami Syifa Amanda; Indi Rizqy Fahrani; Yasmin Yasmin; Nur Asmita Purnamasari; Zulhan Widya Baskara
Indonesian Journal of Applied Statistics and Data Science Vol. 1 No. 1 (2024): November
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijasds.v1i1.5725

Abstract

Poverty remains a major issue in developing countries, including Indonesia. In 2021, Indonesia’s poverty rate reached 10.14%, or approximately 27.5 million people (BPS). Poverty alleviation is a primary goal within the Sustainable Development Goals (SDGs). Two important indicators for measuring poverty are per capita expenditure and average years of schooling, which can aid in formulating policies to reduce poverty. This study analyzes the relationship between average years of schooling and per capita expenditure in 2023 using nonparametric regression methods, specifically kernel and spline regression. The kernel regression analysis yielded an optimal bandwidth of 0.860 and a minimum GCV of 0.574. However, the truncated spline method, with one optimal knot, a minimum GCV of 0.5263514 at the 3rd order, and the smallest MSE of 0.4097892, proved to be more accurate in describing the relationship between the two variables. The study concludes that the truncated spline method is superior in modeling the relationship between per capita expenditure and average years of schooling, providing valuable insights for policy formulation aimed at poverty alleviation in Indonesia.
Co-Authors Ayes Malona Siboro Dina Eka Putri Humami Syifa Amanda I Gede Adhitya Wisnu Wardhana Indi Rizqy Fahrani Irwansyah Irwansyah Lailia Awalushaumi Lalu Hasan Ghoffari Lalu Riski Wirendra Putra Maulana, Fariz Muhammad Naoval Husni Muhammad Syahrul Nurwahyuni Indah Nurwahyuni Nuzla Af'idatur Robbaniyyah Qurratul Aini Salwa Salwa Yasmin Yasmin Zata Yumni Awanis