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Prosiding Seminar Nasional Official Statistics

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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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Penerapan Regresi Logistik Biner Terhadap Faktor-Faktor yang Memengaruhi Pemanfaatan Jaminan Kesehatan Pasien Rawat Jalan di Provinsi Nusa Tenggara Barat Tahun 2020 Ririn Riana HashunatilMar'ah; Yaya Setiadi
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Health insurance has benefit for society because it doesn’t have to spend money. But, in reality health insurance not utilized well. Only 31,09 percentage of people using health insurance in 2020 in West Nusa Tenggara Province. This number is low if we considering there are 61,69 percentage of Nusa Tenggara Barat people have health insurance. The purpose of this research is to know general description also to analyse factors that influence the utilization of health insurance in Nusa Tenggara Barat province 2020. Data that be using in this research is raw data from Susenas KOR Maret 2020 with analytical method that would be using is binary logistic regression. The result are residence,age,job and education significance with the utilization of health insurance in Nusa Tenggara Barat province 2020. As for gender doesn’t significance with the utilization of health insurance in Nusa Tenggara Barat province 2020.

Variabel-Variabel yang Memengaruhi Lansia Bekerja Penuh Waktu di Indonesia Tahun 2020 Kezia Sibuea; Suryanto Aloysius
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Almost all countries in the world are experiencing population aging which is marked by an increasing number of elderly people, including Indonesia. However, the growth of the elderly population actually faces various challenges, especially from an economic perspective. This encourages the elderly to continue working in old age even with full working hours, even though the elderly should have enjoyed their old age. Therefore, this study aims to find out the overview of the elderly who work full time and find out the independent variables that significantly affect the elderly working full time in Indonesia in 2020 using binary logistic regression. The data used is the raw data of Sakernas (National Labor Force Survey) August 2020. The results showed that there were 47.6 percent of the elderly working full time in Indonesia in 2020. The variables that significantly influenced the elderly to work full time were gender, age, marital status, education level, status of head of household, area of residence and disability status.

Cluster Analysis Using K-Means Method to Classify Sumatera Regency and City Based on Human Development Index Indicator Muhammad Faishal Jundana Muttaqin
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Human development progress in Indonesia is characterized by the increasing score of Human Development Index (HDI). HDI is an important indicator in measuring efforts to build the quality and equity of human life. HDI consists of four variables including life expectancy at birth, school continuity, average of school continuity and expenditure per capita. In this study, we classify districts or cities on the island of Sumatra based on HDI into three categories; high, middle, and low area. We use cluster analysis for the research. Cluster analysis is a class of multivariate techniques that are used to classify objects or cases into relative groups called clusters. One of the cluster analysis methods is k-means. The result of this research divided into three Cluster. The first cluster or the middle area contained 41 cities. The second cluster or the high area contained 21 regencies/cities. The third cluster or the low area contained 92 regencies /cities. Areas with low scores are of more concern because all indicators are below the average value, these areas are like Pidie, Nias Utara, Pesisir Barat and etc.

Determinan Risiko Kematian Pasien Covid-19 Mochammad Yusuf Maulana; I Made Arcana
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

The Covid-19 pandemic in Indonesia in the middle of 2021 showed an increase in the number of people exposed to the corona virus and the number of deaths among Covid-19 patients. A relatively similar situation also occured in Tegal City, where the risk of death for Covid-19 patients was quite high. This study aims to identify variables that significantly affect the risk of death among Covid-19 patients based on patient medical record data in period of January to August 2021 at Kardinah Hospital, which is the education hospital and Covid-19 first-line referral hospital in Tegal City. A total of 477 patients Covid-19 hospitalization was the subject of observation in this study. The analytical method applied was survival analysis by implementing the Weibull Proportional Hazard (PH) model whose best model was based on the smallest AIC value. The results showed that the highest level of risk of death occurred in female patients who were short of breath, which was 2.9 times the risk of death experienced by female patients who were not short of breath.

Karakteristik Sosial Demografi yang Memengaruhi Kesejahteraan Rumah Tangga dengan Kepala Rumah Tangga Lulusan SMA Berdasarkan Kelompok Daerah di Indonesia Tahun 2020 Mutia Fitri Octaviani; Anugerah Karta Monika
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

One of the efforts is by improving the quality of education in Indonesia. Some provinces have a high level of education but are not followed by good welfare. Therefore, this study will classify provinces based on educational indicators and welfare status. The purpose of the classification is to map factors that affect the welfare status of each regional group. This study uses Susenas raw data March 2020 and the analysis methods are descriptive analysis, quadrant analysis and binary logistic regression analysis. The result of this study is that the provinces in Indonesia are classified into four quadrants with the provinces that have the best characteristics labeled quadrant I and the provinces with the worst characteristics labeled quadrant IV. The number of household members, the age of the head of the household, the gender of the head of the household, the classification of the village / village of residence, the business field of the head of the household and the main employment status of the head of the household have a significant effect on welfare in the four quadrants.

Pengelompokan Kabupaten/Kota Berdasarkan Indikator Rumah Layak Huni di Provinsi Jawa Barat Tahun 2020 Ravinsyah Kesuma; Agus Purwoto
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Building inclusive, safe, durable, and sustainable cities and housing is the eleventh goal of the Sustainable Development Goals (SDGs). To encourage this goal, indicators of livable houses can be used for evaluation of development programs. The province of West Java is the province with the most population in Indonesia, is not followed by the achievement of good livable housing indicators. The inequality between regencies/cities aggravates this condition. Therefore, it is necessary to have a study to determine an accurate target group to be used as a basis for policymaking. This study aims to grouping regencies/cities based on what aspects are their development priorities. The method used in this study is comparison between hierarchical cluster and k-means cluster analysis. The method that produces the best cluster is a complete linkage dan average linkage method with the smallest standard deviation ratio and succeeded in forming four clusters. The four clusters formed have different characteristics for each indicator of livable houses.

Penerapan Regresi Data Panel dalam Penentuan Determinan Pertumbuhan Ekonomi Pulau Jawa pada Masa Pandemi Covid-19 Dio Dwi Saputra
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 major impact on the condition of the world economy, including Indonesia. Based on Statistics Indonesia data, the Indonesian economy is dominated by the economy of Java Island, which reached 58.75% in 2020. Thus, this study aims to know the determinants of economic growth on Java Island during the Covid-19 pandemic. The method used in this study is a descriptive statistical method, in the form of graphical display and statistical inferential method using panel data regression modeling. The findings of this study are that of the three independent variables used, only one independent variable affects the economic growth of Java Island during the Covid-19 pandemic, namely the room occupancy rate of the star hotel. There is an increase in the room occupancy rate in star hotels by 1%, which it will increase the economic growth of Java Island by 0.2359%. Thus, it was concluded that the tourism sector contributed positively to the economic growth of Java Island during the Covid-19 pandemic. However, even though the other two independent variables are not significant, the government still has the optimize these two variables

Penerapan Pembelajaran Mesin Untuk Estimasi Luas Lahan Bawang Merah Berdasarkan Data Citra Satelit Resolusi Menengah Muhammad Zulkarnain; Waris Marsisno
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

As the second-largest national shallot producer, Nganjuk Regency requires significant effort in calculating its land area. The irresponsible Eye Estimate calculation is still used today. Remote sensing offers an alternative using Sentinel-2 medium resolution satellite imagery as a source. Sentinel-2 spectral bands in June and August 2020 were extracted into basic and composite variables, then trained for machine learning modeling. Internal evaluation of reduced variables of performance and Mc Nemar's test showed the Support Vector Machine (SVM) was good in June object, while the Random Forest (RF) In August 2020. External evaluation of the total difference in the land area against the data published by Statistics Indonesia showed the SVM was good for the objects by the smallest total difference, 897.53 and 5382.48 hectares. A high total difference is not expected. So, the selection and development of models, intensive labeling, or variable selection methods can be used for future research.

Perbandingan Kinerja Metode Hybrid KNNI-GA dan MissForest Dalam Menangani Missing Values Lalu Moh. Arsal Fadila; Siti Muchlisoh
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

A good and correct survey business process is to select a representative sample in order to obtain quality data. However, one of the relevant problems in data quality is the presence of missing values. Missing value is found in almost all large-scale data collections. Missing values can cause all sorts of problems. Therefore, it must be addressed. One way to overcome missing values is the imputation method. Hybrid KNNI-GA and missForest are imputation methods that can be used to handle missing values. Hybrid KNNI-GA uses a genetic algorithm to select the optimum k value and requires predictor variables to perform imputation. Meanwhile, missForest forms a model to carry out the imputation process. This study compares the hybrid KNNI-GA and missForest in dealing with missing values in terms of estimator accuracy and computational performance. The simulation results obtained, the KNNI-GA hybrid is better than missForest in terms of estimator accuracy. Meanwhile, missForest's computational performance is more stable than the KNNI-GA hybrid.

Analisis Ekspor Jahe Indonesia ke Enam Negara Tujuan Utama Tahun 2010-2020 L.M. Rizal; Wahyudin Wahyudin
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Indonesia is one of the world's largest exporters of ginger, however, the export performance of Indonesian ginger in recent years has decreased. This study aims to obtain an overview of the development of Indonesian ginger export volumes to the six main destination countries, examine the export competitiveness of Indonesian ginger against India and Thailand, and analyze the determinants of Indonesian ginger exports to the six main destination countries in 2010-2020. The analytical methods used are RCA, EPD, X-Model Potential Export Products, and panel data regression unbalanced gravity model approach with the best model FEM. The results of this study indicate that the development of Indonesian ginger exports to the six main destination countries has tended to decline in recent years. Furthermore, the competitiveness of Indonesian ginger is superior in the main destination countries of Bangladesh, Malaysia, Singapore, and Vietnam when compared to its competitors, India and Thailand. In addition, the Indonesian RCA variable, the real GDP per capita of the destination country, the economic distance, and the real price of ginger exports have a significant effect on the export volume of Indonesian ginger.

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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