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Prosiding Seminar Nasional Official Statistics

semnasoffstat
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Published by Politeknik Statistika STIS

ISSN : 27721970 EISSN : 27721970 DOI : https://doi.org/10.34123/semnasoffstat.v2022i1

Core Subject : Economy, Humanities, Science, Social,

Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

prosiding seminar ini bertujuan untuk menghasilkan berbagai pemikiran solutif, inovatif, dan adaptif terkait isu, strategi, dan metode yang memanfaatkan official statistics

Arjuna Subject : Matematika - Statistik dan Probabilitas

Articles 729 Documents

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Estimasi Angka Partisipasi Kasar Perguruan Tinggi Level Kabupaten/Kota di Pulau Kalimantan Tahun 2020 dengan Small Area Estimation Hierarchical Bayes Beta-Logistic Nugraheni Putri Istiqomah; Ika Yuni Wulansari
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Improving quality of education is not only a national agenda, but also a priority of international agenda. Based on Susenas March 2020, higher education has lowest Gross Enrollment Rate (GER) compared to other education levels. Kalimantan has the lowest GER of higher education in 2020. Small area statistics urgently needed to reach more right on target policies. Although Susenas March 2020 is designed to present estimates up to regency or city level, the Relative Standard Error (RSE) several regencies/cities which is more than 25% indicates that the direct estimator has insufficient precision. Therefore, this study applies indirect estimation using Small Area Estimation (SAE) with the method of Empirical Best Linear Unbiased Predictor (EBLUP) and Hierarchical Bayes Beta-logistic (HB Beta-logistic) to improve the precision of the direct estimator. The results showed that HB Beta-logistic estimator was the most precise estimator compared to direct estimator and EBLUP estimator.

Analisis Perubahan Struktural dan Pengaruhnya terhadap Ketimpangan Distribusi Pendapatan di Jawa Barat Tahun 2011-2019 Herika Sofita Putri; Anugerah Karta Monika
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

All parties hope that the economic development process, which include establishing a good economy and implementing structural changes, will be able to increase income distribution equity. The purpose of this research is to describe the structural changes and income distribution inequality that occurred in West Java in 2011-2019, as well as to investigate the impact of structural changes on income distribution inequality. The analytical method was a panel data regression model with the random effect model as the chosen model. The analysis found that structural changes in West Java are unbalanced transformation, and that structural changes in production and labor have a statistically significant impact on income distribution inequality. With the characteristics, economic growth in the industrial sector has negative impact on income distribution inequality, economic growth in the service sector has a positive impact, and agricultural labor absorption has negative impact.

Analisis Spasial Pertumbuhan Inklusif Kabupaten/Kota Di Sulawesi Tengah Tahun 2015-2020 Fadhel Imam Haichal Tanjung; Ernawati Pasaribu
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Central Sulawesi province is the province which has the third highest economic growth in Indonesia during 2015-2020. However, high economic growth is not in line with solving problems such as the high percentage of the poor, income inequality, and open unemployment. Based on this, indicators are needed that can be a measure of the success of economic development through inclusive growth. Therefore, this study aims to describe the level of inclusive growth using the inclusive index (II) by Ramos, Ranieri, and Lammens and to find out the factors that influence it in districts/cities in Central Sulawesi. In addition, this study also identifies the spatial interrelationships of inclusive growth. The results show that inclusive growth has increased in the 2015-2020 period. Based on the spatial panel method, with spatial lag fixed effect, obtained positive spatial autocorrelation results. There is a positive and significant influence between Road Infrastructure, Government spending on social protection functions, Processing Industry and Electricity Access on inclusive growth. Government spending on education and access to clean water has a negative and significant impact on inclusive growth

Perbandingan Hot-deck, SVM, dan Random Forest dalam Mengidentifikasi Industri Mikro dan Kecil Terdampak Covid-19 Tahun 2020 Iman Jihad Fadillah; Lalu Moh. Arsal Fadila; Lalu Muhamad Winadi Darundiye
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

The spread of Covid-19 has been declared a pandemic since March 2020. The pandemic coupled with policies by the government resulted in a decline in the economic sector, especially in micro and small industries (IMK). Identifying IMK affected by the Covid-19 pandemic is an important step. There are two types of identification methods that are commonly used, namely statistical-based methods and machine learning-based methods. Each method has different measurement results. Therefore, an appropriate method is needed to identify IMKs affected by the Covid-19 pandemic. This study aims to compare the hot-deck, SVM and random forest methods, in order to obtain the best method to identify IMK affected by Covid-19. The results obtained are that the random forest method is the best method in identifying IMK affected by Covid-19.

Pengelompokan Kabupaten/Kota Di Provinsi Papua Berdasarkan Indikator Kesejahteraan Rakyat 2020 Ragil Chelvin Pratama; Nasrudin Nasrudin
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

In 2020, Papua's Human Development Index (HDI) lags behind other provinces and there is gap between districts/cities. However, the HDI does not provide broad welfare information, so an indicator that can provide information from a broad perspective is needed, namely the people's welfare indicator by the Central Statistics Agency (BPS). This study aims to look at welfare through the grouping of regencies/cities in Papua Province based on people's welfare indicators and provide a profile of the cluster formed from the best method. Data sourced from publications and website BPSThe grouping uses cluster analysis with single linkage, average linkage, complete linkage, Ward's, and k-means methods. The results show that there are welfare inequality from various dimensions of district/city welfare in Papua. The best method is Ward's with four cluster results. Cluster 1 is economically prosperous, consisting of eleven districts/cities, cluster 2 is prosperous in employment, consisting of eight districts, cluster 3 is prosperous in health, consisting of six districts, and cluster 4 is prosperous in other social dimensions, consisting of four districts.

Determinan Akses Sumber Air Minum Layak di Provinsi Bengkulu Tahun 2021 Monica Putri; Aisyah Fitri Yuniasih
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Safe and proper drinking water is an important element in realizing a healthy life. During the 2017-2021 period, Bengkulu Province became the province with the lowest average percentage of access to safe drinking water in Indonesia. In 2021, the percentage of access to safe drinking water sources in Bengkulu Province is still below the national level, which is 67,39 percent. This figure still cannot reach the RPJMN target to achieve access to safe drinking water of 100 percent. The purpose of this study is to provide a general picture and analyze the influencing variables and trends in access to adequate drinking water sources in Bengkulu Province in 2021with the multilevel binary logistic regression analysis method. The results of this study indicate that variables at the household level, namely regional classification, sanitation facilities, KRT education and poverty status have a significant effect on access to adequate drinking water sources. Then the variable at the regional level, namely GRDP per capita also has a significant effect on access to decent drinking water sources.

Analisis Sentimen Review Tempat Wisata Pada Data Online Travel Agency Di Yogyakarta Menggunakan Model Neural Network IndoBERTweet Fine Tuning Muhammad Zidni Subarkah; Martina Hilda; Etik Zukhronah
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Tourism is a leading sector in Indonesia, one of which is D.I. Yogyakarta. In 2017, the total number of tourists visiting DIY was 5,229,298. The high intensity of tourist visits is directly proportional to data on people's preferences for tourist attractions. From this problem, authors are interested in conducting a sentiment analysis of tourist attractions with the IndoBERTweet Fine Tuning Neural Network model using Online Travel Agency (OTA) data. This analysis is intended so that the government and local tourism managers can easily take a decision or policy in increasing the comfort of tourist attractions. Based on this analysis, five tourist attractions with the highest number of visitor reviews were obtained, namely, Malioboro Street, Tamansari Water Palace, Yogyakarta Palace, Yogyakarta Smart Park, and Yogyakarta Monument. Sentiment analysis of this classification produces an accuracy value of 92.84%, with weighted average recall of 93%, precision of 92%, and F1-Score of 93%.

Kajian Faktor Risiko Pelecehan Seksual Anak di Indonesia Tahun 2020 Maria Regelinda Fallo; Cucu Sumarni
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Cases of sexual abuse that afflict children in Indonesia continue to increase from year to year. This increase in cases needs to be prevented so that the impacts experienced by victims such as physical, psychological, material and economic and social impacts can be reduced. Therefore, this study aims to examine the risk factors that cause a child to become a victim of sexual abuse in Indonesia in 2020. The data used is raw data from the 2020 National Socio- Economic Survey conducted by the Central Statistics Agency where the data is known to be a rare event so that it is processed. using Firth logistic regression method. The results showed that with a significance level of 10% the more prosperous the family, female children, children with at least one disorder from all types of disorders, children who have used the internet in the last three months, and children whose heads of household have low education, it will increase the risk of a child becoming a victim of sexual abuse.

Faktor-Faktor yang Memengaruhi Partisipasi Sekolah Penduduk Usia 16-18 Tahun (SMASederajat) Di Provinsi Jawa Barat pada Tahun 2021 Yosefina Yohana Nau Dewa; Achmad Prasetyo
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Education is the basic capital in the development of a country. Thus, education is one of the development goals contained in the SDGs and the UUD 1945. During the COVID-19 pandemic, UNESCO estimates that out of 180 countries, around 24 million students will be at risk of dropping out of school. The school participation of the population aged 16-18 at the senior high school have a smaller percentage compared to the population elementary school and junior high schoo. In 2021, West Java Province has the lowest senior high school participation in Java and the third lowest in Indonesia, which is only 67.80 percent. This study uses the March 2021 Susenas data with the Binary Logistics Regression method. The results obtained in this study are the variables of gender, working status, KIP/PIP ownership status, cellular phone ownership status, head of household education, number of household members, area of residence and household poverty status have a significant effect on school participation status.

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

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.

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Abstract

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Rani Nooraeni

Contact Email raninoor@stis.ac.id

Phone +6221-8191437

Journal Mail Official semnas@stis.ac.id

Editorial Address https://prosiding.stis.ac.id/index.php/semnasoffstat/about/contact

Location Kota adm. jakarta timur, Dki jakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Rani Nooraeni

Contact Email
raninoor@stis.ac.id

Phone
+6221-8191437

Journal Mail Official
semnas@stis.ac.id

Editorial Address
https://prosiding.stis.ac.id/index.php/semnasoffstat/about/contact

Location
Kota adm. jakarta timur,

Dki jakarta

INDONESIA