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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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Forecasting Palm Oil Production Using Fuzzy Time Forecasting Two-Factor Cross Associations with Frequency Density Partitions Ratri Wulandari; Lathifatul Aulia
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Economic decisions have many determining factors based on estimates of macroeconomic variables. The accuracy of decision estimates can have an important impact. Forecasting is a method to reducing uncertainty about the future, because of economic decisions have multi-factor problems, the high order fuzzy time series forecast method is more suitable than the first order fuzzy time series forecast. Predictions are made for main factors by taking influence from both factors. FLR reflects the relationship between the premise and consequence. In this paper will be discussed fuzzy time series forecasting multi-factor one order cross association based on frequency density partition as a forecasting method to forecast palm oil production with influenced by large of the area. The results of the estimates show that the proposed method has a high forecast performance, with AFER value is according to the AFER criteria table 10%, it can be concluded that the forecast has very good criteria

Kesenjangan Pendidikan dan Determinannya di Indonesia Dwi Ari Suryawan. S; Teguh Sugiyarto
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Human capital investment is an effort to improve the quality of human capital, such as through education, training, medical care, and many else. In line with that, education achievement is a prominent indicator of human capital. This condition must be acknowledged and obtain adequate attention because education inequality also affects economic development indirectly, through its effect on economic efficiency. The purposes of this research is to classify inequality of education and what determines it. The methodology used in this research are descriptive and inferential analyzes. The Descriptive analyzes were used to see description or general pictures of education in Indonesia, also to classify inequality of education, using cluster of hierarchy. The inferential analyzes used in this research is binary logistic regression, the purpose is to inferences variables which significantly affect inequality of education in Indonesia. The results show that provinces in Indonesia classified into two categories based on inequality of education, the low education level and good education level, 17 provinces included into low education level and 17 provinces included to good education level, in percentage, it is 50% to 50% . It is also showed which variables significantly affect inequality of education statistically, like education expenditure and poverty in province’s level.

Pola Karakteristik NEET (Not In Employment, Education, Or Training) Dan Pengaruh Pengetahuan Pemuda Tentang Program Kartu Prakerja Terhadap Status NEET Di Masa Pandemi Stephani Febryanna
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Indonesia is experiencing population growth of productive age, and if it can pick well, this is a form of demographic bonus. However, in 2020, the NEET (Not in Education, Employment, or Training) number in Indonesia increased, even though in that year the government issued a Pre-Employment Card Program policy with the target population aged 18 years and over. NEET is divided into active NEET (in the labor force) and inactive NEET (not in the workforce). The proportion of NEET is more dominated by inactive NEET (not the workforce), the most significant percentage is in West Sulawesi Province, and the lowest is in DKI Jakarta Province. This study wanted to see the characteristic pattern of NEET youth and the influence of youth's knowledge about the existence of the Pre-Employment Card Program. The results of Cluster Analysis and Classification Analysis with Decision Tree, as well as logistic regression, namely NEET youth of female sex, marital status, low education, living in rural areas, and not knowing the Pre-Employment Card Program tend to be inactive NEET.

Analisis Bibliometrik pada Penerapan Artificial Intelligence di Smart Manufacturing Diah Daniaty; Benny Firmansyah; Aan Ardiansyah; Toni Efendi
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Dengan kemajuan teknologi yang pesat di era revolusi industri 4.0, sistem manufaktur bertransformasi dan bergeser menuju ke era digitalisasi pabrik. Studi ini menyelidiki bagaimana penerapan artificial intelligence (AI) pada smart manufacturing dibahas dalam literatur akademis saat ini. Berdasarkan teknik bibliometrik, 399 publikasi diambil dari database Scopus dari 2013 hingga 2022 dan dianalisis untuk mengidentifikasi pola perubahan penelitian AI, sumber jurnal yang paling produktif, negara yang paling banyak dikutip, studi yang paling berpengaruh, dan kata kunci yang paling relevan. Topik-topik terbaru terkait penerapan AI pada smart manufacturing juga diidentifikasi. Program VOSViewer dan Biblioshiny digunakan untuk melakukan analisis bibliometrik. Penelitian AI juga berfokus pada peran teknologi lain seperti internet of things (IoT), cloud computing, big data, edge computing, blockchain, dan digital twin dalam mendukung kegiatan manufaktur, seperti meningkatkan otomatisasi, melakukan analisis prediktif, dan mengukur performa. Studi ini menjelaskan pandangan akademisi dan praktisi tentang apa yang telah diteliti dan mengidentifikasi kemungkinan peluang untuk studi masa depan.

Regresi Logistik Biner dengan Proses Resampling dalam Menduga Faktor Determinan Merokok Remaja Reni Amelia; Ahmad Mu'nim
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Smoking is a behavior that is detrimental to all people. This study aims to determine the determinants of adolescent smoking. The data come from the March 2020 SUSENAS (215.679 teenagers). The model is composed of three binary logistic regression models, namely the model without resampling process, the model with random undersampling, and the model with random oversampling. The resampling technique was used because the number of teenagers who smoked was not balanced with those who did not smoke. The binary logistic regression model with resampling is the best model (86.54 percent balanced accuracy). The variables that affect the smoking status of adolescents are education, gender, marital status, occupation, and age. The type of residence area also affects the smoking status of adolescents in the random oversampling model. Teenagers who tend to smoke are those who did not finish elementary school, male, married, work, live in rural areas, and older.

Geospasial Tingkat Kesempatan Kerja dan Faktor yang Berhubungan dengan Partisipasi Kerja Penyandang Disabilitas Pada Masa Awal Pandemi Covid-19 Maghfirah Maghfirah
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Increasing the work participation of disabled people is the 8th goal of the SDGs. However, disable people more risk to lose their work because because they have a greater vulnerability to being affected by covid-19. This study aims to look at the distribution of job opportunity rate of disabled people and their relationship to demographic and socioeconomic characteristics in the early time of covid-19 pandemic. The results showed that the TKK for disabled people was greater in rural areas than in urban areas. Variables that have a significant effect are related to the work participation of disabled people in the formal and informal sectors, namely gender, age, education, training, area of residence, marital status, and severity of disability. Thus, in an effort to increase the opportunities for disabled people to work and stay healthy during the covid-19 pandemic, special support and attention is needed, both in providing facilities and infrastructure and in creating a safe and friendly work environment for persons with disabilities.

Pengaruh Sosial Ekonomi, Demografi dan Kesehatan Mental Terhadap Status Putus Sekolah Pada Usia SMA di Sumatera Utara Tahun 2021 Prido Putra Sinaga; Jeffry Raja Hamonangan Sitorus
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Failing ini Education or dropping out of school can cause other social problems such as unemployment, crime and others. School dropouts still occurs in Indonesia, including North Sumatra which supports the 12-year compulsory education program. The average length of schooling in North Sumatra still hasn't reach the target and School Dropout Rate (APTS) is also above the national rate. This study aims to examine the factors that influence the school dropouts of 16-18 aged childrens in North Sumatra in 2021. Analytical method used is binary logistic regression analysis. It was found that the factors influencing the school dropouts in North Sumatra 2021 are the children’s working status, completeness of parents, poverty status, sex of children, birth order and behavioral or emotional disorders. Variables that have greater influence than others are children's working status and behavioral or emotional disorders. To overcome school dropout in North Sumatra It is advisable to pay more attention to these two variabes.

Pengelompokkan Kecamatan Berdasarkan Alat Kontrasepsi Menggunakan Algoritma K-Means Putri Puspita Sari; Kismiantini Kismiantini
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Family Planning (KB) participants are couples of childbearing age who are using one of the modern contraceptives in the year of implementation of family data collection. The purpose of this study was to classify sub-districts in the DI Yogyakarta Province based on family planning contraceptives using the K-Means algorithm. The data used is the percentage of contraceptive users in the DI Yogyakarta Province in 2021 obtained from the Population and Family Information System. The research variables were 7 contraceptives, namely IUD, MOW, MOP, condoms, implants, injections, and pills. Determining the number of clusters using Principal Component Analysis obtained 2 clusters with within cluster sum of squares of 45.6%. The results showed that cluster 1 (30 sub-districts) consisted of IUD, MOW, MOP, and condoms. Cluster 2 (48 sub-districts) consists of implants, injections, and pills. Clusters are named based on the place where the contraceptive device was installed, cluster 1 for sex, and cluster 2 for non-gender.

Analisis Spasial Upah Minimum Kabupaten/Kota di Provinsi Jawa Tengah Tahun 2017-2021 dengan Model SAR-RE Adham Malay Japany; Annisa Firnanda
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

As remuneration for labor, the compensation given is usually in the form of wages or salaries. In maintaining wage stability, a minimum wage is established. The similarity of the Regency/City Minimum Wage (UMK) in Central Java Province is inseparable from the spatial effect. Thus, this study aims to identify the spatial effect and determine the variables that affect the UMK in Central Java Province. The data used in this study is secondary data from the Central Java BPS website with 35 regencies/cities of observation in 2017-2021. The best model used is Spatial Autoregressive Random Effect (SAR-RE). The test results show that there are three significant variables, namely the ADHK GDP and HDI variables that have a positive effect, and the variable of expenditure per capita that has a negative effect. In addition, the UMK in an area also has a positive and significant effect on the surrounding UMK, while TPAK has no effect on the UMK in Central Java Province in 2017-2021.

Pemodelan Regresi Panel Spasial Pengaruh Kebijakan Desentralisasi Fiskal Terhadap Ketimpangan Pendapatan Antarkabupaten/kota di Provinsi Papua Tahun 2015-2020 Reyhan Gesang Almuazam; Timbang Sirait
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Differences in characteristics and resources between regions lead to income inequality. In order to achieve equitable region’s income, the Indonesian government implements a policy of fiscal decentralization. Papua Province is an area with high inter-regional inequality because the Papua’s Williamson Index value is above 0.8. Therefore, this study aims to find out the general description of income inequality between regions in Papua Province and analyze the effect of fiscal decentralization on income inequality between regions in Papua. The analytical method used in this research is spatial panel regression with the selected model Spatial Error Model Random Effect (SEM-RE). The results showed that the highest inequality occurred in Mimika and areas with high income inequality clustered around Mimika. Production agglomeration and HDI have a significant effect on income inequality. Meanwhile, the degree of fiscal independence, balancing funds, and the length of the road have no significant effect on income inequality. Income inequality of an area is also influenced by other variables outside the model from its neighbors.

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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