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Faktor-Faktor yang Memengaruhi Praktik Swamedikasi pada Ibu Hamil di Jawa Tengah
Aisyah, Diah;
Sitorus, Jeffry Raja Hamonangan
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS
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DOI: 10.34123/semnasoffstat.v2023i1.1645
Self-medication is a treatment often chosen by the community to overcome their health complaints. Self-medication must pay attention to special conditions such as pregnant women because the risk of using drugs can impact the health of the mother and fetus. Morever, information about the effects and safety of drugs for pregnant women is still limited. Central Java has the highest percentage of self-medication in 2021, reaching 82.79 percent. Therefore, this study aims to determine the factors at the individual and regional levels that significantly influence the practice of self-medication among pregnant women in Central Java. This study used multilevel binary logistic regression method with data from Susenas Kor's March 2021, publications from BPS and Central Java Health Office. The results showed that age and severity of health problem are individual factors, in addition to GRDP per capita is regional factor that significantly influence the practice of self-medication in pregnant women.
Kajian Kedalaman Kemiskinan di Provinsi Papua dan Papua Barat Tahun 2021
Dino, Marsandhi Evan;
Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS
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DOI: 10.34123/semnasoffstat.v2023i1.1657
Poverty is one of the macroeconomic problems faced by all countries in the world, including Indonesia. One of the Indonesian government's programs to alleviate poverty is the Transfer to Regions and Village Funds (TKDD), namely the Non-Physical Special Allocation Fund (DAK). During the 2015-2021 period, the Non-Physical DAK allocated to the Provinces of Papua and West Papua increased and was the highest compared to other Provinces in Indonesia. However, the depth of poverty in these two provinces is also the highest in Indonesia. It is the researchers' suspicion that there is inefficiency in the Non-Physical DAK in the two provinces. The research objective is to identify the existence of technical efficiency problems and the influence of Non-Physical DAK on alleviating the depth of poverty in Papua and West Papua Provinces using Stochastic Fronter Analysis. The results of the study concluded that the government's efforts to reduce the depth of poverty in the provinces of Papua and West Papua were not as optimal as expected. There is a problem of non-physical DAK technical inefficiency in the two Provinces with more than 50% of Regencies/Cities in the two Provinces having a low level of efficiency in allocating funds in reducing the depth of poverty. The funds that were able to significantly reduce the depth of poverty in the two provinces were the Health Operational Assistance Fund and the Assistance for Early Childhood Education. The hope from this research is that the government will immediately evaluate and improve as soon as possible regarding the distribution of the non-physical DAK which is budgeted for so that these funds are more efficient in reducing the depth of poverty in the provinces of Papua and West Papua.
Determinan Kinerja Usaha E-Commerce di Pulau Jawa Masa Pandemi Covid-19 Tahun 2020
Syahirah, Athaya Salwa;
Muchlisoh, Siti
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS
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DOI: 10.34123/semnasoffstat.v2023i1.1665
Covid-19 has pushed companies to close their businesses and increased unemployment. Indonesia now has to fight harder to overcome the problems of poverty and unemployment plus health problems. Based on BPS data, Indonesia's TPT in August 2020 increased by 1.84 percent compared to August 2019. Covid-19 also encourages the use of E-Commerce by the community in running their businesses. Businesses that have utilized E-Commerce are still mostly concentrated in Java. This study aims to determine the general description of E-Commerce business performance and the variables that are thought to affect it in Java during the Covid-19 pandemic in 2020 and analyze these variables and their trends. The method used is binary logistic regression analysis. The results show that E-Commerce business owners who are female, belong to Gen Z and Y, started selling online in 2017-2020, have financial statements, use agents, and experience an increase in online sales volume during the Covid-19 pandemic in 2020 have a tendency to experience a greater increase in business performance than E-Commerce businesses with other characteristics.
Analisis Spasial Pengaruh Infrastruktur Sosial Dan Infrastruktur Ekonomi Terhadap Kemiskinan Pulau Jawa 2021
Gabriela, Patrisia;
Utomo, Agung Priyo
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS
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DOI: 10.34123/semnasoffstat.v2023i1.1672
Java Island is the center of Indonesia's development with poverty problems still a major concern. Compared with other islands, Java Island experienced the highest growth in poverty rate during the COVID-19 phenomenon in 2021. Based on regional characteristics, infrastructure is one of the determinants of poverty. Even today, infrastructure development is one of the five main directions of the government. When considering infrastructure development, Java Island is an island with adequate infrastructure compared to other islands. However, the adequacy of Java Island's infrastructure is not in line with the conditions of the poverty rate in 2021. The pattern of poverty rate distribution among districts/cities on Java Island shows a clustering trend. It is necessary to further analyze the effect of social and economic infrastructure on the poverty rate in Java in 2021 by considering spatial effects. The data used comes from the Central Bureau of Statistics. The analysis method uses the spatial error model (SEM). The results showed a positive spatial autocorrelation in the poverty rate. The results of this study indicate that social (health facilities) and economic infrastructure (access to electric lighting sources and access to adequate sanitation) have a significant effect on the reduction.
Determinan Keluhan Kesehatan Wanita Usia Subur di Provinsi NTB Tahun 2021
Nurazizah, Ananda Trinita;
Sukim, Sukim
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS
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DOI: 10.34123/semnasoffstat.v2023i1.1675
Based on BPS data, the percentage of health complaints for Women of Reproductive Age (WUS) in West Nusa Tenggara (NTB) Province in five years (2017-2021) has continued to increase and has become the highest in Indonesia. The importance of WUS health is related to family, community and in giving birth to a healthy generation. In this study WUS health complaints were divided into three categories, that is not health complaints, health complaints not interfering with activities and health complaints interfering with activities. Therefore, this study was conducted using multinomial logistic regression. The results showed that with a significance level of five percent it was proven that the classification place of residence, last education, most activity status, status of living alone, and food insecurity had a significant effect, both on health complaints that did not interfere with activities or interfere with activities. The government is expected to continue to promote the importance of education (at least 12 years), improve mental health counseling programs, and continue to increase efforts to overcome food insecurity.
Peramalan Awal Harga Telur Ayam Ras di Indonesia Sebagai Pandangan Awal dalam Penentuan Kebijakan
Kautsar, Syahrizal
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS
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DOI: 10.34123/semnasoffstat.v2023i1.1681
Food security is an issue that the world is currently facing. Indonesia's food security still needs to be improved. One of the factors that can affect food security is commodity prices. Broiler eggs are one of the important food commodities in Indonesia. This study modeled the consumer price of broiler eggs using clustering time series analysis and ARIMA modeling where the forecasting results can be used as an initial view in policy making. After analysis, it was found that the provinces of Indonesia can be grouped into three groups based on consumer price patterns of broiler eggs, namely into high, medium and low groups. Provinces in the high and low groups are predicted to experience stable prices at their respective levels. On the other hand, provinces in the moderate group are predicted to experience a trend of rising consumer prices for broiler eggs.
Analisis Dampak Kebijakan Pemerintah dan Determinan Impor Kedelai Indonesia 1983‒2019
Ardhana, Fadhil Mukti;
Sa'adah, Miftahus;
Putri, Nabila Yahya;
Sedana Nugraha, I Gusti Ngurah Yogi;
Pambudi, Thessa Fauziah;
Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS
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DOI: 10.34123/semnasoffstat.v2023i1.1689
Soybean is a primary commodity in Indonesia with a large dependence on imports, this shows the magnitude of the challenge in realizing soybean self-sufficiency which might cause problems later. This study aims to determine the development of soybean production, consumption, and import patterns along with factors that influenced soybean imports in Indonesia in the period 1983 to 2019. Simulations were also carried out with changes in values of several variables to determine resulting impact on soybean imports. Analysis was performed using simultaneous equations with the Two Stage Least Square (2SLS) method. The results showed that the pattern of development of soybean consumption and imports from 1983 to 2019 tended to increase, but the decline occurred in soybean production. Based on the results of the 2SLS method, it is known that consumption has a positive effect on soybean imports while production has a negative effect. Conversely, production has a positive effect on soybean consumption, but is negatively affected by per capita GDP. It is also known that soybean production is positively influenced by harvested area and domestic soybean prices. The simulation results show an increase in soybean production and consumption will occur when domestic soybean prices are increased or restrictions on the volume of soybean imports in Indonesia are imposed.
Klasifikasi Tingkat Stres Akademik dan Gambaran Mekanisme Koping Mahasiswa
Sari, Dita Dwi Wulan;
Marsisno, Waris
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS
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DOI: 10.34123/semnasoffstat.v2023i1.1691
Stress is a natural thing and often encountered in life. Stress can also occur in an academic environment (academic stress). Academic stress occurs due to the inability of students to adapt to lecture conditions. Changes in teaching and learning activities due to Covid-19 can also trigger academic stress. Therefore, it is important for students to have good problem management (coping mechanisms) in dealing with stress. This study aims to describe the level of academic stress and coping mechanisms for Polstat STIS T.A 2022/2023 students along with their classifications. The research was conducted on 360 Polstat STIS students T.A 2022/2023 using an instrument in the form of an online questionnaire. Data analysis in this study uses the decision tree algorithm C5.0. The results showed that 70.6 percent of students were at moderate stress levels. The most influential variable in moderate stress levels is intrapersonal (34.22 percent). As many as 51.39 percent of students use adaptive coping mechanisms with influential indicators namely restrain coping, planning, active coping and acceptance. The stress level decision tree model produces an accuracy of 96.1 percent with a tree size of 23.
Penerapan Persamaan Simultan pada Analisis Hubungan Ketersediaan dan Konsumsi Beras Untuk Melihat Kondisi Ketahanan Pangan
Ramadhan, Nashif Satria;
Himalaya, Karina;
Wardani, Aulia Pramudya;
Maheswara, Aronad Brilliantino Evan;
Khairunnisa, Evita;
Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS
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DOI: 10.34123/semnasoffstat.v2023i1.1692
Rapid increase in population is a big challenge, especially for food security. As a staple food, rice has a vital role in the daily life of Indonesian people. This study aims to analyze the factors that influence availability and consumption of rice in 34 Indonesian provinces in 2021 using simultaneous equation estimated by Two Stage Least Square (2SLS). The results is rice availability and rice consumption had a positive and significant effect on each other. Harvested area also has a positive and significant effect on the rice availability, while price of rice has no significant effect. Furthermore, population has a positive and significant effect on rice consumption, while GRDP has no significant effect. Simulations were also carried out on the impact of decreased harvested area, population growth, and increase in GRDP on the availability and consumption of rice. If these conditions occur, rice availability cannot meet national rice consumption needs.
Determinan Status Upah Tenaga Kerja Terdidik di Indonesia
Salsabila, Sitta Auliya;
Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS
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DOI: 10.34123/semnasoffstat.v2023i1.1693
During the last seven years, unemployment in Indonesia has been dominated by the educated workforce. The limited number of educated workers in the labor market, there has been speculation about a decent wage for educated workers. Unemployment is also related to the length of time looking for work which depends on the wages offered and the expected minimum wage. Therefore, it’s necessary to study the wages received by educated workers so that wage conditions for educated workers in Indonesia can be identified. This study also aims to analyze the variables that influence trends in the wage status of educated workers. The analytical method used is descriptive analysis in diagrams and inferential analysis with binary logistic regression. The results showed that educated workers with college education levels, male, aged 25 years and over, worked at least 35 hours a week, worked for at least 6 years, and attended job training have a greater tendency to get wages above the regional minimum wage.