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All Journal Epsilon: Jurnal Matematika Murni dan Terapan Jurnal Ilmiah Dinamika Sosial Variance : Journal of Statistics and Its Applications Science Midwifery Square : Journal of Mathematics and Mathematics Education Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat
Yulianto, Safaat
Statistika
Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Education Health Professions Mathematics Nursing Public Health Social Sciences Transportation Veterinary

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REGRESI PANEL TINGKAT PENGANGGURAN TERBUKA KABUPATEN/KOTA PROVINSI NUSA TENGGARA BARAT Safaat Yulianto; Dinar Ade Kurniawan
VARIANCE: Journal of Statistics and Its Applications Vol 3 No 1 (2021): 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/variancevol3iss1page29-36

Abstract

The main problems that developing countries facing especially Indonesia is the problem of job-field limitations. Increasing the number of people followed by increasing labor force will increase unemployment if it does not balance with increasing in job opportunities. Some research has been conducted to examine factors that affect the unemployment rate, especially open unemployment. The open unemployment may differ from one area to another, as well as changes from time to time, so open unemployment level problems are more accurately analysed using the panel data regression. A significant factor affecting the open unemployment rate in the Southeast Nusa Province is the percentage of the poor and the percentage of the working people 15 years old above high school.
Pelatihan Teknik Sampling Dan Survey Untuk Meningkatkan Kinerja Karyawan PT Mustika Jaya Lestari Semarang Yulianto, Safaat; Khikmah, Laelatul; Ambarwati, Atika Nurani; Wijayaningrum, Taswati Nova; Sulistijanti, Wellie
Intimas Vol 4 No 1 (2024)
Publisher : Fakultas Teknologi Informasi dan Industri Unisbank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/intimas.v4i1.9785

Abstract

Survey is a very important step in supporting decision making in various fields. In conducting surveys, surveyors are required to collect data that must be approached by statistical methods. To be able to understand and conduct surveys correctly, an understanding of statistical analysis is needed, especially on quantitative data. The low understanding and analysis of data and the use of statistical methods make survey results with quantitative data cannot be completed correctly. To be able to conduct surveys correctly, surveyors are also required to understand sampling techniques and statistical analysis in accordance with statistical rules. Community service in the form of training on Sampling and Survey Techniques can provide the benefits of understanding statistics and skills in using statistical methods and software to support quantitative surveys, especially in the field of animal husbandry. In addition, community service in the form of training can also provide significant benefits for employees of PT Mustika Jaya Semarang in conducting surveys of farmers and analyzing the resulting survey results.
ANALISIS METODE SPASIAL UNTUK MENENTUKAN FAKTOR-FAKTOR YANG MEMPENGARUHI KRIMINALITAS PADA PROVINSI JAWA TIMUR TAHUN 2022 Sari, Tantri Novita Sari; Yulianto, Safaat
Jurnal Ilmiah Dinamika Sosial Vol 8 No 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/jids.v8i2.5326

Abstract

Suatu tindak kejahatan yang mana perbuatannya perlu untuk diberi hukuman atau pidana biasa disebut dengan kriminalitas. Kriminalitas diartikan sebagai segala aktivitas yang tidak mendapat persetujuan masyarakat karena melanggar norma sosial, agama, dan hukum serta merugikan masyarakat. Jumlah kejadian kejahatan secara nasional juga turun secara konsisten setiap tahun sejak 2017, mencapai level terendahnya pada tahun 2021 namun terjadi peningkatan pada tahun 2022. Sepanjang 2022 terjadi 276.507 kejahatan di Indonesia dengan tingkat penyelesaiannya sebanyak 200.147 atau 73, 38 persen.. Jawa Timur menduduki tingkat ketiga untuk daerah dengan jumlah kejahatan tertinggi di Indonesia. Jawa Timur memiliki angka kejahatan sebesar 17.642 dengan tingkat penyelesaiannya hanya sebesar 52.74 persen di tahun 2022. Terjadinya suatu tindak kejahatan kriminalitas dapat dipengaruhi oleh keterkaitan wilayah, seperti lokasinya yang dekat atau karakteristiknya yang serupa. Metode analisis statistik untuk mempelajari fenomena kejadian yang memiliki aspek kewilayahan diartikan juga sebagai analisis metode spasial. Penelitian ini bertujuan membentuk model spasial dan mengidentifikasi faktor-faktor yang mempengaruhi kriminalitas pada Provinsi Jawa Timur dengan digunakannya variabel total kejahatan/kasus kriminalitas yang dilaporkan (Y), tingkat pengangguran terbuka (X1), total masyarakat (X2), persentase penduduk > 15 tahun tidak bisa membaca menulis (X3), dan total masyarakat miskin (X4) dengan pembobot queen contiguity. Matriks pembobot spasial (queen contiguity) adalah jenis pendekatan bobot area yang melihat area pengamatan berdasarkan sisi-sisi yang saling bersinggungan dan memperhitungkan sudut. Pemodelan yang dihasilkan dalam penelitian ini adalah model SEM dan persamaan yang didapat adalah . Di Prov. Jawa Timur pada tahun 2022, variabel total masyarakat signifikan memiliki korelasi positif dengan kriminalitas, sedangkan variabel total masyarakat miskin signifikan memiliki korelasi negatif. Total masyarakat dan total masyarakat miskin adalah faktor independen yang signifikan yang mempengaruhi kriminalitas di Prov. Jawa Timur pada 2022. Oleh karena itu, pemerintah perlu mengadopsi kebijakan yang mencakup edukasi keluarga berencana, subsidi dan insentif pajak bagi keluarga kecil, serta pelatihan keterampilan yang sesuai dengan kebutuhan pasar kerja. Selain itu, bantuan langsung berupa tunjangan bulanan, subsidi pangan, dan program pemberdayaan ekonomi untuk keluarga miskin sangat penting. Dengan implementasi kebijakan ini, diharapkan dapat mencegah peningkatan jumlah masyarakat dan menekan angka kemiskinan, sehingga membangun ketahanan sosial dan menciptakan lingkungan yang lebih aman.
Logistic regression analysis to identify factors contributing to stunting cases Khikmah, Laelatul; Yulianto, Safaat
Science Midwifery Vol 13 No 2 (2025): June: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i2.1990

Abstract

Stunting is a condition characterized by impaired growth and development in children, caused by various factors such as poor nutrition, infections, and a lack of psychosocial stimulation. Indonesia is one of the Asian countries with a high prevalence of stunting. The increasing stunting rates have raised concerns about the nation's future generation. The aim of this study is to identify the factors contributing to stunting cases, particularly in Karangtengah Village, Sumberjo Village, Kumpulrejo Village, Kutoharjo Village, Krajankulon Village, and Sarirejo Village in Kaliwungu Subdistrict, Kendal Regency, using a logistic regression approach. The variables in this study include stunting status as the dependent variable, while the independent variables are gender, low birth weight (LBW), child disease history, marital status, maternal education, maternal height, pregnancy status, ANC history, maternal phone usage duration, maternal anemia history, child intake and nutrition, and hygiene and environmental conditions. Based on the analysis results, it was found that only the duration of maternal phone usage significantly influenced the occurrence of stunting in children, with a tendency value of 0.071.
VARIABEL YANG MEMPENGARUHI KRIMINALITAS DI WILAYAH SULAWESI UTARA MENGGUNAKAN REGRESI DATA PANEL Rahmasari, Dwi Hartiana; Yulianto, Safaat
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 19, No 2 (2025)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/epsilon.v19i2.15377

Abstract

North Sulawesi Province has high economic and tourism potential due to its rich agricultural and mining resources and natural beauty, attracting investors and tourists. However, the high crime rate in North Sulawesi Province raises concerns about economic sustainability and social stability. Investors will tend to choose safe and stable places to invest, while tourists will also choose safe places to vacation. This study aims to analyze the variables that influence crime rates in North Sulawesi Province. Previous studies have shown that crime rates are influenced by several factors, including education, unemployment, poverty, and inequality. These variables will be analyzed using panel data regression. Panel data regression is used because crime rates vary across regions and over time. Thus, panel data can reveal the effects of inter-regional and inter-temporal factors. The study covers 11 districts and 4 cities in North Sulawesi Province, spanning the period from 2021 to 2023. The results of the panel data regression indicate that the most appropriate model is the Fixed Effect Model (FEM). Based on the results of the Fixed Effect Model (FEM), it is found that poverty and inequality significantly influence crime, while education and unemployment do not significantly influence crime. The Adjusted R Square value is 0.8132, meaning that 81.32% of crime in the North Sulawesi region can be explained by education, unemployment, poverty, and inequality, while 18.68% is explained by other factors.
Analisis Pertumbuhan Ekonomi Pra, Saat, dan Pasca Pandemi di Provinsi Nusa Tenggara Timur Menggunakan Analisis Regresi Data Panel Yulianto, Safaat; Boisala, Elisabeth Jeany Juanita; Ikhtiyar, Zakaria Bani
Square : Journal of Mathematics and Mathematics Education Vol. 7 No. 2 (2025)
Publisher : UIN Walisongo Semarang

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

Abstract

Economic growth serves as a key factor in analyzing the economic conditions of a country or region. The secondary panel data used in this study consists of a combination of cross-sectional data from five regencies/cities in East Nusa Tenggara (NTT) that were most affected by the COVID-19 pandemic. This time-series data spans from 2018 to 2023 and is split into three phases: the period before the pandemic, the pandemic period, and the post-pandemic period.This study aims to analyze the factors influencing economic growth in NTT Province during the pre-, during-, and the period after the pandemic. The research employs the Fixed Effect Model (FEM) with Gross Regional Domestic Product (GRDP) as the dependent variable. The independent variables include the Regional Minimum Wage (UMR), Per Capita Expenditure, Labor Force Participation Rate (TPAK), and Domestic Investment (PMDN). The research findings indicate that the variables that significantly influence economic growth in NTT Province are the Regional Minimum Wage and Per Capita Expenditure. The Regional Minimum Wage has a negative impact on economic growth, whereas Per Capita Expenditure has a positive impact. This means that an increase in the Regional Minimum Wage will decrease economic growth, while an increase in Per Capita Expenditure will enhance economic growth.
Co-Authors Atika Nurani Ambarwati Boisala, Elisabeth Jeany Juanita Dinar Ade Kurniawan Ikhtiyar, Zakaria Bani Khikmah, Laelatul Rahmasari, Dwi Hartiana Sari, Tantri Novita Sari Sulistijanti, Wellie Wijayaningrum, Taswati Nova