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+6221-8191437
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Dki jakarta
INDONESIA
Prosiding Seminar Nasional Official Statistics
prosiding seminar ini bertujuan untuk menghasilkan berbagai pemikiran solutif, inovatif, dan adaptif terkait isu, strategi, dan metode yang memanfaatkan official statistics
Articles 729 Documents
Analisis Pertumbuhan Ekonomi dan Pengangguran di ASEAN-5 tahun 2006-2019 dengan Regresi Data Panel Nur Afni Eka Sapitri; Atik Maratis Suhartini
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 (684.864 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1358

Abstract

The Association of Southeast Asian Nations was founded with the aim of being a shelter for countries in Southeast Asian to build progress and achieve prosperity. The high unemployment rate is still one of the main macroeconomic problems, including in the ASEAN-5 region (Indonesia, Malaysia, Philippines, Thailand, and Singapore) which are the founders of ASEAN. Economic growth in ASEAN countries is reported to be high for the next few years (DHL, 2020). An increase in output will require labor so this is expected to affect the unemployment rate. The purpose of this study was to analyzethe relationship between changes in the unemployment rate and economic growth by using panel data regression method. The data used is data on changes in unemployment rate and economic growth in 2006-2019 in ASEAN-5. The result of the analysis show that economic growth has a negative effect on changes in the unemployment rate. Therefore, the potential for high economic growth must be realized by promoting a labor-intensive economic sector sothat the problem of unemployment can be overcome.
Variabel-variabel yang Memengaruhi Status Jam Kerja Lansia di Provinsi Gorontalo Tahun 2020 Denita Dwi Andiany; Suryanto Aloysius
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 (396.643 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1361

Abstract

The economic condition of the elderly in Indonesia is still quite worrying, forcing the elderly to keep working. Especially in Gorontalo Province, there are still many elderly people who work an excessive number of working hours (>40 hours a week). The high working hours cannot be ignored because it can endanger the health of the elderly. Therefore, a research analysis was conducted on the variables thought to have an effect on the working hours of the elderly. The data source used is the March 2020 Susenas Kor micro data. Descriptive and inferential analysis with binary logistic regression was used to achieve the objectives of this study. The results showed that the tendency of older workers to work excessively was found in elderly men, including the young elderly group (60-69 years), married status, household size of more than 7 household members, did not have pension insurance, and the work status is working with the help of permanent workers/paid workers.
Variabel-variabel yang Memengaruhi Deindustrialisasi Laily Nur Indah Sari; Luci Wulansari
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 (316.2 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1362

Abstract

The manufacturing industry sector is stated as an engine of growth in supporting the economy of a region. However, in reality there has been a deindustrialization phenomenon or a decrease in the contribution of the manufacturing industry sector to GRDP in industrial areas located outside Java. The phenomenon of deindustrialization is not something that should be ignored considering the important role of industrial estates in both the national and regional economy. Therefore, this study aims to analyze the variables that influence the deindustrialization. The results of the study using panel data regression showed that income per capita, trade balance, and average length of schooling had a significant effect on the contribution of the manufacturing industry sector, while foreign and domestic investment had no significant effect on the contribution of the manufacturing industry sector. In addition, in line with the increase in per capita income with an increase in the contribution of the manufacturing industry sector, it indicates that the type of deindustrialization experienced by industrial estates outside Java is premature deindustrialization.
Faktor Ibu yang Memengaruhi Stunting Baduta di Kawasan Timur Indonesia Tahun 2018 Ilham Aminu Rosyid; Titik Harsanti
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 (301.209 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1363

Abstract

Stunting is the main malnutrition in Indonesia. One of the factors that affect stunting is maternal factor. Mothers play an important role in the process of children growth and development so that mothers are very important in overcoming malnutrition in children. The purpose of this study was to determine the maternal factor that influenced stunting the baduta in Kawasan Timur Indonesia (KTI) 2018. This study used Riskesdas 2018 data and analysis unit for baduta in KTI. The variables used are maternal education, mother's work status, classification of residence, consumption of tablet tambah darah, antenatal-care (ANC) visits, and consumption of mother alcoholic drinks. Data analysis uses descriptive analysis and binary logistics regression. The results of the analysis showed that there were 29.5 percent of baduta stunting in KTI. Mother's education, residential classification, and visit (ANC) have a significant effect on baduta stunting in KTI. Baduta stunting tendencies are greater in baduta with mothers with less educated mothers (OR=1,225), living in rural areas (OR=1,165), and ANC visits are less than 4 times (OR=1,12).
Penerapan Regresi Robust dengan Estimasi-MM dalam Analisis Pengeluaran Internet Rumah Tangga di Provinsi Nusa Tenggara Timur Tahun 2021 Muhammad Rhevanza Kusnadi; Agung Priyo Utomo
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 (349.071 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1364

Abstract

The development of information and communication technology has caused very significant changes to become one of the basic human needs in carrying out their daily lives. With the development of the information and communication technology sector, household spendings will increase to meet the needs of the internet. This research uses descriptive analysis method and robust regression analysis of MM estimation. The data used in this study comes from the March 2021 Susenas core and consumption and expenditure modules. From the robust regression results, the average household internet contest is Rp 98,970.74 with a total contribution of 2.27 percent to the total household contest. In general, internet households of school age in East Nusa Tenggara are in rural areas, the last education of the head of the household is less than high school, has a very high household income category, or has less than 4 household members using the internet. person. The amount of household internet expenditure has a significant effect on household income, the last education of the head of the household, the number of household internet users, and the area of ​​residence.
Determinan Pengangguran Terdidik di Wilayah Perkotaan Perdesaan dan Wilayah Perkotaan Provinsi Kepulauan Riau Tahun 2021 Nadita Riski Aulia; Lia Yuliana
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 (326.525 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1367

Abstract

Unemployment is a crucial problem that occurs in Indonesia. Unemployment is dominated by educated unemployment. Province Kepulauan Riau occupies the highest position based on the value of TPT in 2021, which is 9.91 percent. For the last 5 years, the Riau Archipelago has always occupied a position above the national TPT. Generally, unemployment is more prevalent in urban areas than in rural areas, this is due to the large number of people moving from villages to cities which causes high demand for jobs in cities. By using secondary data from Sakernas August 2021, this study aims to determine the variables that affect the characteristics of educated unemployment in the Riau Islands Province in 2021 seen from rural urban areas and urban areas only. The methods used are descriptive analysis and inferential analysis using binary logistic regression. The results of the study show that the variables that are significant in influencing educated unemployment in the Riau Islands in 2021 when viewed from rural urban areas and urban areas only are age, job training and work experience.
Prediksi Curah Hujan Bulanan Kabupaten Trenggalek Tahun 2022 dan 2023 Menggunakan Metode ARIMA Rafi Prayoga Dhenanta; Isna Binti Kholifah
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 (315.725 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1368

Abstract

Rainfall was a climate measurement used as a proxy for the numbers of rain water dropped on a certain place and time of measurement. Monthly rainfall was usually used as a basis on determining the planting season of some farm commodities, eg. rice that had become Indonesian main energy source for years. Knowing the forecast of rainfall would help the farmers, moreover if their fields were rain fed, schedule their planting season or even help them choose the commodities to plant. This research used ARIMA time series model for modeling historical data of rainfall in Trenggalek Regency and then forecasting the model up to two years in the future. This approach resulted in the model that best suited the data was ARIMA(0,1,1)(0,1,0) with seasonality of 12 using Box-Cox transformation beforehand. Lastly, this result was applied in agricultural sector to determine the planting times of rice in Trenggalek Regency.
Analisis Kinerja Ekspor Nonmigas Jawa Timur dengan Pendekatan Regresi Kuantil Smoothing Splines Periode 2012-2021 Rinda Fitriani; Husnul Chotimah
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 (300.145 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1383

Abstract

East Java's industrialization is predicted to increase in line with the region's strategic role. The Export-Led Industrialization (ELI) strategy in East Java has been actively implemented since 1995. The export value of East Java is dominated by non-oil and gas exports. However, the development of East Java's non-oil and gas exports tends to fluctuate. It is unstable, so optimal export performance is needed to succeed in the ELI strategy's industrialization. This study analyses the competitiveness and performance of East Java's non-oil and gas exports by involving the inflation variable. Quantile regression modelling of smoothing splines was used in this study. The results of the analysis show that the inflation rate has a negative effect on East Java's non-oil and gas exports. The best performance of East Java's non-oil and gas exports is when the export value in a certain period is above the 0.5 and 0.75 quintiles (high and very high categories).
Analisis Meta Menggunakan Effect Size Odds Ratio Pada Pasien COVID-19 Hartina Husain; Azmidar Azmidar
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 (374.059 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1386

Abstract

Meta analysis is an analytical method using effect size to summarize various studies to obtain comprehensive conclusions. The effect size odds ratio method was used to determine the difference between the experimental group and the control group on COVID-19 data. Research data sourced from journal references that meet the inclusion-exclusion criteria. This study aims to analyze the risk factors that can affect the death of COVID-19 patients in terms of the Intensive Care Unit (ICU) handling in the hospital, gender, and age of the patient. There are 12 research references that meet the inclusion and exclusion criteria that serve as literature for this meta-analysis. The results showed that the risk factors for COVID-19 patients dying were influenced by the category of treatment of patients with ICU, patient gender and age, each of which had an odds ratio of 9.51 , 2.34, and 0.23. Patients who received ICU treatment had a greater risk of dying than control patients (without ICU treatment). Male patients have an increased risk of death compared to female patients. Meanwhile, patients aged less than 60 years have a 77% lower risk of dying compared to patients aged 60 years and over.
Forecasting Produksi Kayu Bulat di Indonesia Aniisa Rizqi; Hanif Palupi; Novantia Novantia; Bayu Rhamadani Wicaksono; RR. Nila Indrasari
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 (296.4 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1387

Abstract

For next 15 years, the SDGs aim to end poverty, hunger, and realize sustainable development in social, economic, and environmental dimensions. Indonesia that has production forests is an important contributor for the SDGs achievement, particularly in the economic (Goal 12) and environmental dimensions (Goal 15). The SDGs implementation was hampered by the Covid-19 pandemic in 2020 so the Indonesian economic growth declined. On the other hand, the agriculture, forestry, and fisheries sectors continued to grow positively. Currently, SDGs are the main reference for determining national government programs and policies and data is the primary key for the government to achieve sustainable forestry. However, there is no data on the potential growth of Indonesian logs production so this study aims to forecasting logs production in Indonesia using ARIMA. The forecasting results with ARIMA (3,1,1) as the best ARIMA model show that the 2021Q1-2022Q4 data is slightly volatile with an upward trend.