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Mengukur Kepemimpinan Perempuan di Indonesia dengan Metode Fuzzy c-Means Clustering Sukim Sukim; Firdaus Firdaus; Retnaningsih Retnaningsih; Efri Diah Utami
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 18, No 2 (2018)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v18i2.4536

Abstract

Indonesia is fully committed to implement Sustainable Development Goals (SDGs). The goal 5 ofSDGs priorities the need to end discrimination against women and girls in all forms, and meetingtheir right to equal opportunities in employment, health and education. It is in line with thePresidential Instruction No. 9/2000 on gender mainstreaming in the National development programs.According to the result of the 2015 Intercensal Population census, about 49.75 percent of 255.18million Indonesian population are women. This large figure population of women could be an assetfor the national development in Indonesia when they are given the opportunity to advance andimprove their quality. Unfortunately, it is realized that there is still a gap between men and women inIndonesia due to limited access of women in education, employment, politics and high governmentalposition. Considering that women’s leadership is important to achieve and accelerate SDGs, thispaper aims to assess women’s leadership in Indonesia at province level by using 5 dimensions ofwomen’s leadership (politics, government, education, economy and decision making). Applying Fuzzyc-Means Clustering Method and 7 validity indexes, the result found that provinces in Indonesia canbe grouped into 4 clusters. The fourth cluster consists of 14 provinces and is considered as a clusterwith lowest women’s leadership.
PENGARUH INKLUSI KEUANGAN TERHADAP KETIMPANGAN PENDAPATAN DI INDONESIA TAHUN 2012-2017 Afifah Siti Muslikhah; Efri Diah Utami
Seminar Nasional Official Statistics Vol 2019 No 1 (2019): Seminar Nasional Official Statistics 2019
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.421 KB) | DOI: 10.34123/semnasoffstat.v2019i1.102

Abstract

Masalah ketimpangan menjadi salah satu pekerjaan rumah yang belum dapat diselesaikan oleh pemerintah Indonesia. Salah satu langkah pemerintah terkait keuangan dalam mengurangi ketimpangan pendapatan yaitu berupaya meningkatkan kesejahteraan masyarakat dengan mewujudkan sistem keuangan yang dapat diakses oleh seluruh lapisan masyarakat guna mendorong pertumbuhan ekonomi melalui program inklusi keuangan. Dalam penelitian ini, inklusi keuangan diukur menggunakan suatu indeks berdasarkan penelitian Sarma (2012). Dalam kurun waktu 2012-2017, seluruh dimensi pembentuk indeks inklusi keuangan selalu meningkat, namun ketimpangan pendapatan di Indonesia fluktuatif meskipun cenderung menurun. Seharusnya dengan adanya peningkatan inklusi keuangan, angka ketimpangan dapat diturunkan. Oleh karena itu tujuan dari penelitian ini bertujuan menganalisis pengaruh inklusi keuangan dan variabel ekonomi makro lainnya terhadap ketimpangan pendapatan di 33 provinsi di Indonesia tahun 2012-2017 dengan menggunakan metode regresi data panel. Hasil penelitian menunjukkan bahwa inklusi keuangan memiliki pengaruh negatif namun tidak signifikan terhadap ketimpangan pendapatan di Indonesia. Sementara itu, variabel ekonomi makro yang memiliki pengaruh yang signifikan yaitu inflasi berpengaruh positif dan UMP riil berpengaruh negative, sedangkan variabel pertumbuhan ekonomi memiliki pengaruh yang positif namun tidak signifikan.
PENGARUH KARAKTERISTIK DEMOGRAFI TERHADAP KEJADIAN STUNTING PADA BALITA DI PROVINSI SULAWESI BARAT Dwi Ardian; Efri Diah Utami
Seminar Nasional Official Statistics Vol 2020 No 1 (2020): Seminar Nasional Official Statistics 2020
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (175.179 KB) | DOI: 10.34123/semnasoffstat.v2020i1.365

Abstract

The government has a target of improving nutrition in in sustainable development (SDGs). One of nutritional problem is stunting. Stunting is a condition of failure to thrive in children under five due to chronic malnutrition. The high prevalence of stunting causes major problems in various sectors. Although in 2018 there was a significant decline from 37.2 percent (2013) to 30.8 percent (2018), but it is still far from WHO standards, which is below 20 percent. In addition, inequality between regions is very large. The prevalence of stunting in DKI Jakarta is already 17.6 percent, while most other regions are still above 30 percent. West Sulawesi is one of the provinces with the highest prevalence of stunting (41.6 percent), even for the very short toddler category, West Sulawesi is the highest in Indonesia. This study aims to study the effect of demographic characteristics on the incidence of stunting in children under five in West Sulawesi. The data used are the results of the 2018 basic health research (Riskesdas 2018). The analytical method uses binary logistic regression which concludes that mother’s education, father's education, history of maternal pregnancy check up, history of TTD consumption during maternal pregnancy, and maternal age at birth have a significant influence on the incidence of stunting in toddlers. These results indicate that household knowledge and awareness are the main steps in preventing the prevention of stunting.
Determinan Kelaparan di Indonesia Tahun 2015-2019 Daniel M V Mone; Efri Diah Utami
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.634 KB) | DOI: 10.34123/semnasoffstat.v2021i1.962

Abstract

The Sustainable Development Goals (SDGs) are global action plans agreed by world leaders, including Indonesia. The purpose of this plans are to encouraging social, economic and environmental development. One of the 17 goals of SDGs is to end hunger. Based on data released by Badan Pusat Statistik, one of the approaches that use to measuring hunger level is the proportion of the population with a minimum caloric intake below 1400 kcal/capita/day is still quite high and continues to increase from 2017 to 2019. The purpose of this research is to analyze the general picture of hunger levels and the variables that are thought to influence it, and how the effect of these variables on the level of hunger in Indonesia in 2015-2019. The results of this study can be used to formulated policies for the resolution of hunger in Indonesia. The analysis method used in this research is panel data regression using fixed effect model estimated by Seemingly Unrelated Regression (SUR) method. Based on this research’s result, variables that had a significant effect on hunger levels were food expenditure and rice prices, while the number of poor people and income per capita had no significant effect to huger levels.
Faktor - Faktor Yang Mempengaruhi Tingkat Kebahagiaan Masyarakat Yogyakarta Tahun 2017 Khairunissa Balqis Zhahira; Efri Diah Utami
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.995 KB) | DOI: 10.34123/semnasoffstat.v2021i1.1029

Abstract

Yogyakarta Province is ranked as the 8th happiest province in Indonesia, which is 72.93. Although Yogyakarta has a fairly high Happiness Index rating, Yogyakarta Province has several problems from an economic perspective. First, the percentage of poor people in Yogyakarta in March 2017 was 13.02 percent and in September 2017 it was 12.36 percent, this percentage is above the national average percentage of poor people. Second, the Gini ratio of Yogyakarta is 0.432, this causes the Gini ratio of Yogyakarta to be the highest in all provinces of Indonesia, and the third problem, in 2017 the Provincial Minimum Wage (UMP) Yogyakarta is the smallest UMP in all of Indonesia, which is Rp. 1,337,645. Therefore, this study aims to determine the general description and variables that affect the level of happiness of the Yogyakarta population in 2017. The method used is Ordinal Logistics Regression. The results showed that the level of happiness of the people of Yogyakarta was influenced by the variables of age, income, savings ownership, and did not experience health problems.
Determinan Pengangguran Lulusan SMK di Indonesia Tahun 2020 Miko Oktavio Wijaya; Efri Diah Utami
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.846 KB) | DOI: 10.34123/semnasoffstat.v2021i1.1048

Abstract

Indonesia is facing a demographic bonus phenomenon, but the Open Unemployment Rate (TPT) in Indonesia is still high. Vocational High School (SMK) graduates have become the biggest contributors to TPT in Indonesia in the last 5 years. This condition isn’t accordance with PP No. 17 of 2010 which states that vocational education aims to create graduates who are ready to work. This study aims to find the general description of unemployment for SMK graduates, identify the variables that cause SMK graduates become unemployment and determine the tendency of the variables used. The data used is Sakernas February 2020. The analytical method used consists of descriptive analysis and inferential analysis using binary logistic regression. The results showed that the variables of gender, disability disorder, field of expertise, year of graduation, and participation in training had a significant effect on the unemployed status of SMK graduates. The tendency for SMK graduates to experience unemployment is higher for male graduates, do not have disabilities, come from other fields of expertise, graduated within a year, and have never attended training.
Determinan Pengangguran Lulusan SMA di Provinsi Sumatera Utara Tahun 2019 Viki Tria Zianrini; Efri Diah Utami
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (232.617 KB) | DOI: 10.34123/semnasoffstat.v2021i1.1050

Abstract

Unemployment is one of the most common problems in developing countries. In Indonesia, unemployment is dominated by a highly educated workforce or educated unemployed. Educated unemployment is the workforce with a minimum of high school education and is not working. Based on BPS data in 2019, the population aged 15 years and over who are included in open unemployment according to the highest education completed are those with the latest high school education, reaching 1,994,836 people. North Sumatra province occupies the first position with the highest number of educated unemployed high school graduates when compared to other provinces in Sumatra, namely there were 130,103 unemployed high school graduates in 2019. Using secondary data from the August 2019 National Labor Force Survey, this study aims to determine the variables -variables that affect the unemployment status of high school graduates in North Sumatra in 2019. The analytical method used is binary logistic regression. The results showed that the variables that significantly affected the unemployed status of high school graduates were age, area of residence, marital status, and status in the household. For high school graduates who are young, live in urban areas, are not the head of the household, and are not married, they have a greater tendency to be unemployed.
Variabel-Variabel yang Memengaruhi Angka Buta Huruf (ABH) di Provinsi Papua Tahun 2020 Bertha Sani Lake; Efri Diah Utami
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (281.98 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1216

Abstract

Education is one of the absolute needs that must be met in human life. One of the targets of the fourth Sustainable Development Goals (SDGs) is ensure that all youth and some adults, both boys and girls, achieve literacy and numeracy skills. The high ABH is one of the crucial problems in the field of education that has not been resolved until now. Papua is the province with the highest ABH in Indonesia, which is 22.10 percent. This figure is very high compared to the national ABH which is 4.00 percent. Therefore, this study aims to determine the general description of ABH and what variables affect ABH in Papua Province in 2020. The analytical method used in this study is multiple linear regression. The results showed that the variables of School Readiness Rate (AKS), Elementary School Dropout Rate (APTS), number of schools and population had a significant effect on ABH.
Determinan Tingkat Pengetahuan IMS pada Remaja Perempuan di Indonesia Tahun 2017 Annisa Salsabila Aulia; Efri Diah Utami
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (261.748 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1251

Abstract

Sexually Transmitted Infections (STIs) is a health problem that often occurs in the global. Beside health problems, STIs are also one of the causes of social and economic problems in many countries. The exact cases number of STIs are not yet known in Indonesia. This makes the spread of STIs are difficult to trace its source. Therefore, in order to reduce the cases of STIs, it can approached by increasing public knowledge about STIs . This study aims to determine the general description and the effect of education level, welfare level, age, area of residence, and mass media access on the level of knowledge about STIs among Indonesian adolescent girls in 2017. In achieving this goal, data from Demographic and Health Survey (DHS) 2017 were analyzed using binary logistic regression method. The results of this study indicate that adolescent girls who have a good level of knowledge mostly graduating from high school, a rich level of welfare, 20-24 years old, living in urban areas, accessing newspapers, radio, television, and the internet. The level of STI knowledge among Indonesian adolescent girls is influenced by education level, welfare level, age, area of residence, access to newspapers, radio access, and internet access.
Faktor-Faktor yang Memengaruhi Kejadian Berat Badan Lahir Rendah Di Indonesia Tahun 2020 Tantri Retno Anasthasia; Efri Diah Utami
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.927 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1252

Abstract

The infant mortality rate can reflect the state of the health status of a community. The biggest cause of infant mortality in Indonesia is the incidence of LBW. The incidence of LBW is still a problem in Indonesia because there are still several provinces that have LBW numbers above the national average. The data used are secondary data from SUSENAS 2020. The statistical method used is descriptive analysis which is used to find out the general description of the incidence of LBW in Indonesia and inferential analysis which uses binary logistic analysis to determine the factors that affect the incidence of LBW. The results of this study indicate that from 7,209,181 babies born two years ago or less, there were 11.69 percent of babies born with LBW conditions. Based on the results of binary logistic analysis, it was found that the age of first pregnancy, place of delivery, sanitation conditions, drinking water conditions and maternal smoking status had a significant effect on the incidence of LBW.