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Prosiding Seminar Nasional Official Statistics
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 Pola Kecelakaan Lalu Lintas Menggunakan Algoritma Decision Tree Berdasarkan Ekstraksi Informasi dari Berita Online Menggunakan Named Entity Recognition (NER) Susanto, Hardi Dwi; Yuniarto, Budi
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1751

Abstract

Toll roads as freeways do not make toll roads free from traffic accidents. In 2020, West Java Province had a total of 20 toll roads spanning a length of 521,15 km. The Cipali Toll Road is one of the sections with the highest fatalities in the world. Prevention of traffic accidents is important as an effort to reduce the incidence of traffic accidents. However, official data regarding traffic accidents on toll roads by official agencies is not available in detail, so alternative data sources such as online news are used. NER with Bi-LSTM-CNN is used to extract accident data. The results of news extraction are analyzed by making decision rules to determine the pattern of accidents that occur. This decision rule is in the form of a decision tree with a dataset that uses data from three toll roads with the highest fatality with the mode by concept imputation feature as a missing value handling method and toll roads as attributes, resulting in an f1-score value of 67,76% and an accuracy value of 75,49 %.
Determinan Prevalensi Balita Stunting di Indonesia Tahun 2021 Priatmadani, Priatmadani; Anjarweni, Hanifah Ukti; Putri, Shalihati Melani; Pramana, Anugerah Surya; Palupi, Retno; Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1753

Abstract

Stunting is a disorder of child growth and development caused by inadequate nutritional intake and is characterized by below standard height. The stunting prevalence rate in Indonesia still exceeds the WHO recommendation, which is 20%, which is 24.4%. The problem of stunting in Indonesia is related to food security, economic and social conditions of the community. From this aspect, variables that are suspected of influencing stunting in Indonesia include food expenditure, food insecurity, PMT in KEK pregnant women, food insufficiency, level of education, and proper sanitation, the data of which was obtained from the Ministry of Health and BPS. The results of mapping the percentage of stunting show that areas that need to accelerate the reduction of stunting are in the eastern provinces of Indonesia and there is a spatial autocorrelation in the percentage of stunting between provinces in Indonesia. Based on the Spatial Autoregressive (SAR) model, only the education level variable has no significant effect and the percentage of stunting in a province in Indonesia will have a significant positive effect on the percentage of stunting in surrounding provinces.
Penyusunan Indeks Kerentanan Sosial Ekonomi Pekerja Perempuan terhadap Pandemi Covid-19 di Indonesia Syaadah, Arini Alva; Sitorus, Jeffry R. H.
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1761

Abstract

The emergence of the Covid-19 pandemic has had a negative impact on the vulnerability of women workers in Indonesia. In a pandemic situation, women workers are increasingly vulnerable in terms of continuing their working status, which has a negative impact on their social and economic conditions. The impact of the Covid-19 pandemic felt by women workers can lead to more complex problems if special attention is not given. A measure is needed that can show the socio-economic vulnerability of women workers to the Covid-19 pandemic in Indonesia. Therefore, this study aims to construct an Index of Socio-Economic Vulnerability of Women Workers to the Covid-19 Pandemic in Indonesia by analyzing data from the results of Survei Angkatan Kerja Nasional (Sakernas) in August 2021. The analytical method used in construction the index refers to the OECD guidelines using exploratory factor analysis. The results showed that there were 12 indicators in three factors, namely workers' rights, workers' social conditions, and workers' demographic-economic conditions. Based on the IKSEPP Covid-19 score, it was found that the province with the highest index score was NTB and the lowest was Kep.Riau.
Penyusunan Indeks Keberlanjutan Sistem Ketersediaan Beras di Indonesia Tahun 2021 Asnuri, Sari; Yuliana, Rita
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1766

Abstract

Rice as the main food of the Indonesian people plays an important role in the sustainability of the population. The increasing demand for rice over time and the increasingly complex problems in agriculture require to create sustainable rice availability. To evaluate the sustainability achievements in rice availability system, a measure is needed that can describe the sustainability of rice availability. This study aims to develop a sustainability index of the rice availability system by using a composite index method using 34 indicators divided into five dimensions, namely ecology, economy, socio-culture, institutions, and technology. The results show that there are 19 provinces that have moderately sustainable rice availability, and 15 provinces are less sustainable.. Each province has a different performance, indicated by the various scores of the dimensions of the rice availability index. The resulting rice availability sustainability index is able to describe the food sufficiency condition of a region, indicated by the correlation between the rice availability index and the food security index. In addition, there is a negative correlation between the rice availability index and the real wage of farm laborers.
Efek Perubahan Lingkungan terhadap Output Pertanian Indonesia Prastanika, Winar Wahyu; Putri, Amanda Chairunisa Gheana; Samaya, Najwa Fairus; Hutajulu, Ronald; Aliy, Tiara Rahma; Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1772

Abstract

This study aims to explain the influence of the environment on Indonesia's agricultural output in 1990-2021 in the long and short term. The type of data used is secondary data which is time series data with annual units obtained from the World Bank. The analytical method used is ECM (Error Correction Model) with the help of Eviews-10 software. The results of the study show that in the long term CO2 growth has a significant negative effect, but in the short term it has a significant positive effect on agricultural output growth. In addition, the growth in the use of chemical fertilizers has a negative effect on agricultural output in the long and short term. In the long run, the growth in the area of cereal production land and the growth in the number of rural populations have a positive effect. In the short term, the growth in the area of cereal production has a positive effect, while the growth in the number of rural population has a positive effect. Partially, there are also growth variables, increasing rainfall and increasing air temperature which have no significant effect on the growth of agricultural output in the long and short term.
Analisis Dampak Kebijakan Ekspor terhadap PDB, Pengangguran, dan Inflasi di Indonesia Andriansyah, Umar; Maharani, Rafaela Suryadiva Indira; Zahra, Rasya Az; Herlan, Mumtahanah Ceisa; Arbain, Nabil; Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1773

Abstract

International trade provides opportunities for every country to export and import the commodities it produces in order to fulfill the need for goods and services. Goods and services that cannot be obtained domestically can be obtained through international trade. This can be increase foreign exchange for exporting countries. This study aims to determine the impact of export policies on GDP, unemployment, and inflation in Indonesia. The data used in this research comes from the World Development Indicators (WDI) and Central Bureau of Statistics (BPS) from 1986 to 2021. The analysis used is a system of simultaneous equations model using the Two-Stage Least Square (2SLS) estimation method. Based on the research result, there is a positive relationship between export and GDP. In addition, exports also indirectly affect unemployment and inflation through GDP. From the simulation results, an increase in export will encourage economic growth, increase the unemployment rate, and reduce the inflation rate.
Faktor Internal dan Eksternal yang Memengaruhi Status Putus Sekolah di Provinsi DKI Jakarta Tahun 2021 Purba, Mikael; Ekaria, Ekaria
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1776

Abstract

Dropping out of school is a complex and varied problem, and is often seen as a serious social problem. DKI Jakarta is one of the provinces with a school dropout rate above the national level. Since 2012, the Provincial Government of DKI Jakarta has launched 12 years of compulsory education. In fact, the condition of dropping out of school in DKI Jakarta is still far from reaching the target to be achieved. This study aims to obtain an overview of the variables in internal and external factors in dropout status in children aged 7-18 years in DKI Jakarta Province in 2021 and find out the variables that influence them. The data used is raw data from the results of the 2021 National Socioeconomic Survey. The analysis method uses binary rare event logistic regression with the estimation of the Firth's Penalized Maximum Likelihood Estimator (PMLE) parameter. Based on the research results, the dropout rate in DKI Jakarta Province in 2021 at the SD/equivalent, junior high/equivalent, and high school/equivalent levels is still above the national rate. Variables that affect the status of dropping out of school in DKI Jakarta Province, from internal factors, consist of variables of child employment status, child's relationship with the head of household, and status of managing the household, as well as from external factors, consisting of variables of poverty status and education level of the head of household. The dropout status of children in DKI Jakarta Province is most at risk for working children.
Pemanfaatan Data Citra Satelit Untuk Memprediksi Produksi Padi Tahun 2018-2022 dengan Membandingkan Metode Machine Learning dan Ekonometrik Hidayat, Arief Ramadhan Rifky; Parina, Okta; Kurniawan, Robert
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1779

Abstract

This study aims to evaluate and compare the prediction accuracy of rice production in East Java in 2018-2022 using three methods namely Support Vector Regression (SVR), Autoregressive Integrated Moving Average With Exogenous Variable (ARIMAX), and Autoregressive Distributed Lag (ARDL). The dependent variable is rice production with the independent variables Normalized Difference Water Index (NDWI), Soil Adjusted Vegetation Index (SAVI), and Farmer's Exchange Rate (NTP) derived from satellite imagery and the Central Bureau of Statistics. The best model of this research is SVR with Radial Basis Function (RBF) because it has Mean Absolute Percentage Error (MAPE) and Mean Squared Error (MSE) values of 35.42% and 46.93. The parameters cost (C), gamma (γ), epsilon (ε), and number of support vectors used in the SVR model are 1; 0.33; 0.1; and 43. SAVI is the variable that best describes rice production because it has the same distribution pattern and is the only significant variable in the long-term model.
Mampukah Sulawesi Selatan Mendukung Ketahanan Pangan di Kawasan Timur Indonesia? Alfi, Kamal Maulana; Budiasih, Budiasih; Rohmah, Apriliani Nur; Azizah, Shinta Marwah; Rahmi, Meautia; Nafiis, Faried Akbar
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1783

Abstract

Food is one of the essential factors for human life. Generally, the Eastern Indonesia Region (KTI) is a vulnerable area in terms of food security. However, in 2019, South Sulawesi Province had the highest rice production in the Eastern Indonesia Region (KTI). This has implications for the government's determination to make South Sulawesi the center for food security in the Eastern Indonesia region. Therefore, this research presents strong evidence supporting South Sulawesi as the center for food security in the Eastern Indonesia region. The method used is multiple linear regression to demonstrate the influence of rice production and per capita expenditure share on food on the level of food security. The results of this research support the government's decision to designate South Sulawesi Province as the center for food security in the Eastern Indonesia Region.
Analisis Spasial Not in Employment, Education, or Training (NEET) di Indonesia Tahun 2021 Simanjuntak, Moreno Kay Boy; Pasaribu, Ernawati
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1784

Abstract

The role of the young population is crucial in maximizing the demographic bonus. It is necessary to pay attention to the education and employment absorption of young people. The NEET indicator can be used to asses the youth situation. In 2021, Indonesia's NEET rate was 22.4 percent, higher than most Southeast Asian countries. Most NEET studies primarily focus on individual characteristics, but NEET can also be influenced by spatial effects. This study aims to obtain an overview, identify spatial effects, and analyse the determinants of the NEET rate in Indonesia using the spatial durbin error model (SDEM). The findings reveal that the NEET rate is directly influenced by employment opportunities, net secondary school enrollment rate, percentage of people with disabilities, percentage of in-migrants, and the human development index. Additionally, the NEET rate is indirectly influenced by employment opportunities, the percentage of young married women, and the percentage of in-migrants.

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