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All Journal Sistemasi: Jurnal Sistem Informasi Prosiding Seminar Nasional Official Statistics Jurnal Ekonomi Kependudukan dan Keluarga
Wijaya, Yuliagnis Transver
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Public Health Social Sciences

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Pola Migrasi dan Variabel yang Memengaruhinya di Provinsi Jawa Barat Fauziyah, Syifa; Wijaya, Yuliagnis Transver
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2081

Abstract

Migration is one of the demographic components of population growth in a region. A problem phenomenon in population growth that occurs at this time is that the population is not evenly distributed and only concentrated in one region. The purpose of this study is to determine the distribution pattern of migrant population working in the formal sector between districts / cities in West Java Province and the factors that influence it. This study uses multiple linear regression analysis methods to determine what variables affect the occurrence of migration, both in-migration, out-migration, and between the two that occur between districts / cities in West Java Province. The variables that significantly affect the occurrence of out-migration are the population size variable and the proportion of higher education; the variables that affect the occurrence of in-migration are the Gross Regional Domestic Product value variable and the proportion of higher education; the variables that affect migration between in-migration and out-migration include the neighboring variable, the stock of lifetime migrants, the GRDP ratio, and the distance ratio of the capital to the Province.
Handling of Data Imbalance in Classification of Regencies/Municipalities in Eastern Indonesia Japany, Adham Malay; Wijaya, Yuliagnis Transver
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.2862

Abstract

Imbalance of data between classes can result in incorrect predictions in classification, which can cause problems in decision making. Eastern Indonesia (KTI) is one of the regions that has a Human Development Index (HDI) below the national HDI, so increasing human potential in the production process in KTI must be focused on. In the categorization of regencies/municipalities in KTI there is imbalanced data. This shows that human development between regions in KTI is still uneven. For this reason, a classification of regencies/municipalities based on HDI into certain categories is carried out accurately and quickly. The classification results are expected to help the government in determining future strategic steps to improve the quality of human resources in KTI. One method that can handle data imbalance is Synthetic Minority Over-sampling Technique (SMOTE), using three classification algorithms, namely Support Vector Machine (SVM), K-Nearest neighbors (KNN), and Random Forest (RF). It was found that with the handling of data imbalance and the application of the k-fold cross validation method, the three algorithms showed a significant increase in accuracy. Therefore, handling data imbalance is proven to be able to improve the performance of the applied classification algorithms.
Pengaruh Karakteristik Rumah Tangga terhadap Kejadian Kematian Maternal di Pulau Papua Utami, Intan Putri; Wijaya, Yuliagnis Transver
Jurnal Ekonomi Kependudukan dan Keluarga Vol. 1, No. 2
Publisher : UI Scholars Hub

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Abstract

The transition of young workers to youth Not in Employment, Education, and Training (NEET) is part of the problems of employment and welfare of the Indonesian population during the COVID-19 pandemic. Using the 2019 and 2020 National Labor Force Survey (Sakernas) data, this study aims to explain the characteristics and determinants of young workers transitioning to unemployed and inactive NEET compared to remaining employed using multinomial logistic regression, in all and gender model. Most of the young workers who are transitioning into youth NEET are concentrated in Java. Gender, education, digitalization, internet, skills, employment status, and business fields significantly affect the transition of young workers to unemployed and inactive youth NEET. In addition, minimum wages and GRDP, also affect the transition to NEET. Specifically, transition to youth NEET in males are influenced by regional labor market conditions, while females are more influenced by demographic factors and human capital. This research implies the urgency of an education and training investment policy that focuses on digitalization for young workers. Furthermore, COVID-19 gives important lessons about the flexibility of the labor market for young people and the importance of gender-specific employment policies as well as ease of access in human capital investment for female.
Pekerja Anak di Kawasan Timur Indonesia Tahun 2022: Kondisi dan Faktor yang Memengaruhi Al Muflih, Muhammad Rafii; Wijaya, Yuliagnis Transver
Jurnal Ekonomi Kependudukan dan Keluarga Vol. 1, No. 2
Publisher : UI Scholars Hub

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Abstract

In 2019-2022, the percentage of child labor in eastern Indonesia has consistently been higher than in western Indonesia. However, research specifically focusing on child labor in eastern Indonesia is limited. This study aims to examine the conditions and factors influencing child labor in eastern Indonesia. Utilizing data from the August 2022 Indonesia National Labor Force Survey (Sakernas), the study employs descriptive analysis and binary logistic regression. Findings reveal that 5-6 out of 100 children in eastern Indonesia are engaged in child labor. Predominantly, they work in agriculture, forestry, and fisheries, though there are regions where most are employed in other sectors. Factors such as gender, age, school enrollment status, the educational level and occupation of the household head, marital status, position as the eldest child, household size, residential classification, the presence of other working children in the household, and the interaction between age and school enrollment status significantly influence child labor in eastern Indonesia. The government should establish specific programs or divisions within the Indonesian child protection commission at regional levels to collect data, mediate, and provide tailored solutions to effectively address child labor issues across different regions.
Co-Authors Al Muflih, Muhammad Rafii Japany, Adham Malay Syifa Fauziyah, Syifa Utami, Intan Putri