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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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Analisis Penyerapan Tenaga Kerja Terdidik Sektor Industri Pengolahan di Pulau Jawa Tahun 2011-2019 Ahdiyaty Rahmi A. Suaib; Neli Agustina
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

The manufacturing sector as the leading sector provides the largest contribution to GDP in Indonesia. The Java economic corridor is focused on encouraging national industry because Java Island is an industrial center for Indonesia which is expected to be able to absorb a large number of workers so that it can overcome unemployment. However, in reality, the unemployment rate in Java is still relatively high compared to other islands and nationally. In addition, unemployment in Java is still dominated by educated unemployed, so the absorption of labor, especially educated workers, is not optimal in the manufacturing sector. Therefore, the purpose of this study is to analyze the variables that affect the absorption of educated labor in the manufacturing sector in Java Island from 2011-2019. The results of panel regression analysis with Fixed Effect Model (FEM) show that GRDP and investment in the manufacturing sector have a positive and significant effect, UMR has a negative and significant effect. In contrast, the number of industrial business units does not affect the absorption of educated workers in the manufacturing industry. The conclusion is that GRDP and investment have an effect on increasing the absorption of an educated workforce, so it is hoped that the results of this study can be the basis for consideration for policies to increase industrial output and facilitate investment flows so as to optimize the absorption of educated workers.

Analisis Ketahanan Hidup Bayi Neonatal Pada Ibu Berusia Berisiko Di Indonesia 2017 Novalianisa Permata Sari; Yaya Setiadi
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

In developing countries, including Indonesia, health is still a problem in development that must be resolved, one of which is infant mortality. In 2018, 2.5 million babies in the world experienced neonatal deaths. Babies born to mothers who are younger or older than 20-35 years are at increased risk for neonatal death. The data used in this study is secondary data sourced from the 2017 IDHS. The data were analyzed using descriptive analysis to find out the general description and characteristics of neonatal mortality in women aged at risk and inferential analysis using the survival analysis method with Proportional Hazard model to determine the variables that significantly affect Neonatal infant survival in mothers aged at risk. The results of the analysis was found that the variables that significantly affected the survival of neonatal infants in mothers aged at risk in Indonesia in 2017 were the baby's birth weight, early initiation of breastfeeding, antenatal check-ups, sex of the baby, type of birth, and pregnancy complications.

Mengisi Gap Informasi Persentase Penduduk Miskin di Jawa Timur dengan Google Trend Index Ajiwasesa Harumeka; Tasmilah Tasmilah
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

The first goal of the Sustainable Development Goals (SDGs) is to end poverty in all its forms everywhere. One of the important aspects for alleviating poverty is the availability of good poverty data. Good poverty data can be used to evaluate government poverty alleviation programs, and can be compared over time. The Central Statistics Agency (BPS) calculates the poverty rate twice a year, in March and September. This creates an “information gap”, namely the unavailability of data between the times of the calculation. The Google Trend Index (GTI) as a type of big data can be utilized by the National Statistics Offices (NSO) to fill this “information gap”. This study used GTI to predict the monthly percentage of poor people in East Java. The method used was Feed Forward Neural Network (FFNN). The best FFNN model produced a Root Mean Square Error (RMSE) of 0.1279 with 1 hidden layer and 1 neuron in the hidden layer. The best model was used to predict the percentage of poor people from January to December 2021.

Pembangunan Sistem Informasi Geografis Potensi Desa Berbasis Web BPS Kota Madiun Rizka Indah Pristania; Nori Wilantika
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Potential Villages are a source of data bases on territories owned up to the village level. Potential Villages data can be obtained from Potential Villages Data Collection conducted by the Badan Pusat Statistik (BPS) in three censuses in a period of ten years. The results of the Potential Villages Data Collection are presented in the form of publications. These publications can be re-managed and can be developed for the benefit of the village. To obtain an overview of publication information, it is necessary to manage and present it properly through attractive data visualization. This is because Potential Villages data is still presented in the form of tables, graphs, brief descriptions and static area maps as well as publications in print media that need to change the file format to Excel or CSV for further data analysis. Potential Villages data on publication is not yet interactive and dynamic. Communication that runs only in one direction, namely the publisher of publications to data users. Based on these problems, the researcher proposes a solution in the form of building a geographic information system using web-based Potential Villages data. So that the system can present data in the form of data visualizations in the form of interactive maps and dynamic data tables that can be downloaded directly, both maps in PNG format and data tables in Excel, CSV and PDF formats and can copy tables and print tables. Researchers in building this system use the System Development Life Cycle Waterfall Model (SDLC Waterfall Model). Testing for this system uses the Black Box Testing method and for system evaluation using the System Usability Scale (SUS). The evaluation results show that the system built produces an overall average score of 87.92, which indicates the system is feasible and in accordance with user needs.

Analisis Fenomena Harga Minyak Goreng di Indonesia dan Dampaknya terhadap Sektor Penyediaan Makan Minum Adin Nugroho; Prientananda Ghina Salsabila
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

The increase in global CPO prices had pushed up the prices of its derivative products, including cooking oil that has been one of the basic need of Indonesian people. The increase in cooking oil prices at the end of 2021 to June 2022 that reached 25.400 rupiahs might certainly have impact on sectors that were directly related to it, such as the food and beverages service activities. Therefore, this study was conducted to analyze the factors that influenced the increasing cooking oil prices and its impact on the food and beverage supply sector. This research used data of cooking oil price, CPO production, CPO consumption, CPO export, CPO price, and CPI of food and beverage in Indonesia with the period of Januari 2020 – June 2022. The methods that were used in this research included Autoregressive Integrated Moving Average (ARIMA), Principal Component Analysis (PCA), Analisis Faktor, dan Autoregressive Distirbuted Lag (ARDL). In the result of this study, it was shown that supply and demand factors had a significant influence toward the changes in cooking oil prices not in the current period, but in the following period instead. On the other hand the increasing cooking oil prices, which was included in market pressure factor, had a 0,723 units significant and parallel impact on the changes of Consumer Price Index (CPI) for Food and Beverage Service Activities in the same period.

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

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.

Pendugaan Area Kecil Angka Partisipasi Kasar Perguruan Tinggi di Indonesia Menggunakan Model Subarea Twofold dengan Pendekatan Hierarchical Bayes Reyhan Saadi; Azka Ubaidillah
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Gross Enrolment Rate of higher education (APK PT) is an indicator that can be used to measure the achievement of the SDGs program in the context of education. Unfortunately, this data with good quality can only be presented up to the provincial level because the number of SUSENAS samples is designed to be only sufficient to present data up to the provincial level. These limitations makes it difficult to provide good quality district APK PT data. In fact, in formulating policies, APK-PT data is needed with availability to the level of small areas such as districts as a comparison. The SAE method can be an alternative way to improve the quality of the APK-PT estimation results at the small area level. Along with the increasing need for small area data, currently an SAE model has been developed with ability to estimate at two levels of a small area, namely twofold subarea model. Seeing this opportunity, researchers are interested in estimating the APK-PT of districts and provinces in Indonesia with the twofold subarea model using the HB approach. The estimation results shows that this model is able to produce better APK-PT estimates in both regency and province level.

Analisis Perbandingan Hierarchical dan Non-Hierarchical Clustering Pada Data Indikator Ketenagakerjaan di Jawa Barat Tahun 2020 Umi Syafiyah; Dita Putri Puspitasari; Iqbal Asrafi; Brian Wicaksono; Finer Mayland Sirait
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

The Covid-19 pandemic has had a significant impact on various sectors in Indonesia, including West Java Province. One of the affected sectors is the employment sector. West Java Province is the province with the highest Open Unemployment Rate (TPT) in Indonesia, after Banten Province. This is due to the increase in the labor force but not attributable to an adequate employment opportunity. The purpose of this study is to group regencies/cities in West Java Province based on employment indicators. In addition, this study also aims to present a comparison between the hierarchical cluster method, namely single linkage, average linkage, and complete linkage, and the non-hierarchical cluster method, namely k-means cluster. The results of the analysis show that the complete linkage method of 2 clusters is the most suitable method in grouping regencies/cities in West Java Province based on employment indicators. There are two groups formed based on complete linkage, namely: cluster 1 which consists of 18 regencies/cities with characteristics of good labor development and cluster 2 which consists of 9 regencies/cities is a cluster with characteristics of labor development that has not been maximized.

Analisis Klaster K-Means Dan Visualisasi Data Spasial Berdasarkan Karakteristik Persebaran Covid-19 Dan Pelanggaran Protokol Kesehatan Di Jawa Tengah Rosi Anisya Faujia; Muhammad Zidni Subarkah
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

The world is currently faced with the Covid-19 virus pandemic with a significant spike in the spread of cases, especially in Indonesia. The high intensity of the spread of the virus is influenced by the violation of health protocols. In this analysis, the authors took a sample of areas in Central Java using the K-Means Clustering and GeoDa spatial analyze methods with the aim of knowing the characteristics of the spread of Covid-19 in Central Java with indications of health protocol violations. The best number of clusters was obtained, namely 4 clusters with a 74% confidence level. Cluster 1 has the highest confirmed cases of Covid-19. Cluster 2 has the highest health protocol violations. Cluster 3 has the lowest confirmed cases of Covid-19. Cluster 4 had the lowest health protocol violations. The author hopes that this analysis can be a reference for the government to reduce positive number of Covid-19.

Ketimpangan Pendapatan dan Determinan PDRB Per Kapita Kabupaten/Kota di Pulau Sulawesi Tahun 2017-2020 Azzahra Zauza Inniswa Rahmadhana; Agung Priyo Utomo
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Income inequality is a crucial problem which is common in developing countries. Sulawesi is known to have various conditions of inequality between regions. The high variations of inequality in Sulawesi is the basis for importance of this research which aims to examine the general description of regional income inequality and per capita GRDP of districts/cities in Sulawesi for the 2017-2020 period, also examine the determinant of per capita GRDP in Sulawesi regions, taking into account spatial heterogeneity. Empirical results shows that there is spatial heterogeneity of per capita GRDP in 81 regions in Sulawesi. Using Geographically Weighted Panel Regression with Kernel Adaptive Exponential and 95% level of winsorize, average length of school and labor productivity significantly increase per capita GRDP in 80 and 54 regions, respectively. Open Unemployment Rate significantly decrease per capita GRDP in 40 regions, while population growth significantly decrease per capita GRDP in 37 regions.

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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