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All Journal ETIKONOMI BAREKENG: Jurnal Ilmu Matematika dan Terapan KOMPUTIKA - Jurnal Sistem Komputer Majalah Ilmiah Matematika dan Statistika (MIMS) Prosiding Seminar Nasional Official Statistics
Novaldi, Jeremia
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Analisis Cluster Kualitas Pemuda di Indonesia pada Tahun 2022 dengan Agglomerative Hierarchical dan K-Means Novaldi, Jeremia; Wijayanto, Arie Wahyu
Komputika : Jurnal Sistem Komputer Vol. 12 No. 2 (2023): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v12i2.10348

Abstract

Youth is the generation that will hold the future of Indonesia. According to BPS, a quarter of Indonesia's population are youth. Thus, the government needs an overview of the current quality of youth to formulate appropriate policies for each region. This study aims to classify provinces in Indonesia based on youth data using agglomerative hierarchical and K-Means. According to the value of the internal validation and stability index, the agglomerative hierarchical, using Ward's method, with 2 clusters was chosen as the best clustering method. This method produces 2 clusters consisting of 11 and 23 provinces respectively. In general, Cluster 1 contains provinces with better youth quality, where the average youth schooling years, the percentage of youth with internet access, the percentage of youth with health insurance are higher than Cluster 2 despite having a higher unemployment rate. In contrast, Cluster 2 has a higher average score on the Youth Sickness Rate, the percentage of youth with first marriage age 16 – 18 years, and the percentage of young women who give birth to babies with LBW. Keywords – Clustering; Hierarchical; K-Means; SDGs; Youth
Penerapan geographically weighted regression (GWR) dalam menganalisis kemiskinan di Pulau Jawa tahun 2022 Novaldi, Jeremia; Pusponegoro, Novi Hidayat
Majalah Ilmiah Matematika dan Statistika Vol. 24 No. 1 (2024): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v24i1.42717

Abstract

Poverty is a priority issue for Indonesia. However, efforts to eradicate poverty in Indonesia have always failed to fulfill the targets set out in the RPJMN. Java Island, which is known as the center of the economy, has not yet solved this poverty problem. In 2022, the majority of provinces on Java Island still have a higher poverty rate than the target in the 2020-2024 RPJMN, which is 6.5-7 percent. Therefore, the objective of this study is to analyze the relationship between the socio-economic conditions of the society, represented by aspects of education, health, and income, and poverty in 119 regencies or cities on Java Island. Geographically weighted regression (GWR) with a fixed bi-square kernel is applied to fulfill the study objective. The results showed that poverty is affected by RLS in 84 districts/cities, influenced by AHH in 15 regencies or cities, and influenced by AHH and income per capita in 8 regencies or cities. However, these three variables do not affect the poverty rate in the 12 regencies or cities. Keywords: Poverty, GWR, Spatial Analysis, SocioeconomicMSC2020: 91B72
Penyerapan Tenaga Kerja Sektor Pertanian Tanaman Pangan pada Generasi Z Bachtiar, Bayu Aji; Haq, Fika Sabila; Janah, Maidatul; Amalia, Novi Rizqi; Novaldi, Jeremia; Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1706

Abstract

The agricultural sector is one of the economic sectors that has a role in meeting food needs. The sustainability and development of agriculture certainly requires the contribution of generation Z who is the next generation of the nation. But this seems a little difficult considering that the employment of the agricultural sector is declining, especially in generation Z. Therefore, it is important to know what factors cause generation Z to no longer choose the agricultural sector as their main job and how these factors are related between provinces in Indonesia. The labor absorption of a region is influenced by other regions, meaning that there is spatial autocorrelation, so spatial analysis is carried out. The model used is Spatial Error Model (SEM), because there is dependency between dependent variables and there is error correlation between regions. The results of the analysis show that GDP per capita in the agricultural sector, land area, and average years of schooling have a significant effect on the number of workers in the agricultural sector. In contrast, the gender dominance of a region, and the Farmer Exchange Rate have no significant effect.
Competitiveness and Factors Affecting Indonesia’s Natural Rubber Export: An Evidence from Eight Main Destination Countries Novaldi, Jeremia; Muchlisoh, Siti
ETIKONOMI Vol 24, No 1 (2025)
Publisher : Faculty of Economic and Business

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/etk.v24i1.37841

Abstract

Research Originality: This research contribution focused on Indonesia's natural rubber productivity and the role of importer industrial sector development in Indonesia's natural rubber exports.Research Objectives: This research analyzed Indonesia's natural rubber export competitiveness and the effect of productivity, importer industrial sector development, and export price on Indonesia's natural rubber export volume.Research Methods: This research used secondary data from the World Bank, FAO, and UN Comtrade. The dataset covers eight countries from 2002 to 2022. Revealed comparative advantage (RCA), export product dynamics (EPD), and x-model potential export products are applied to analyze export competitiveness. In contrast, panel regression is applied to analyze the determinants of export.Empirical Results: The results showed that Indonesia's natural rubber competitiveness has declined since 2018. Nevertheless, Indonesia's natural rubber is still competitive, and its expansion in the main-destination countries is considered potential. Natural rubber productivity, importer industrial sector development, and export price positively and significantly impact natural rubber export volume.Implications: Indonesia's natural rubber competitiveness has declined. Hence, improving natural rubber quality would be suggested. Moreover, the positive impact of productivity can be maximized by building supporting infrastructure and upgrading production technologies.JEL Classification: C33, F14, Q17How to Cite:Novaldi, J., & Muchlisoh, S. (2025). Competitiveness and Factors Affecting Indonesia’s Natural Rubber Export: An Evidence from Eight Main Destination Countries. Etikonomi, 24(1), 175 – 190. https://doi.org/10.15408/etk.v24i1.37841.
SMALL AREA ESTIMATION OF CHILD UNDERNOURISHMENT PREVALENCE IN BALI AND NUSA TENGGARA Nuriyo, Amalia Ndaru; Fajar, Huda Muhammad; Novaldi, Jeremia; Rahmi, Meautia; Miswa, Sabrina Do; Sumarni, Cucu
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp743-754

Abstract

Children under the age of 17 are particularly prone to undernutrition. Undernutrition can impair children’s growth and development. In the process of policy formulation, it is necessary to calculate a reliable estimate of the prevalence of child undernourishment at the smallest level possible. Using the data of SUSENAS 2023 from BPS, direct estimates at the regency/city level in Bali, West Nusa Tenggara (NTB), and East Nusa Tenggara (NTT) have relative standard error values of over 25% (RSE > 25%), making them less reliable for usage. To solve this, an indirect estimating method known as small area estimation (SAE) can be applied. This study employs SAE HB Lognormal to estimate the prevalence of undernutrition in children. The results of this study show that small area estimation using the HB Lognormal approach improved the reliability of estimates (RSE) of the prevalence of undernutrition in children at the regency/city level in Bali, NTB, and NTT.
Co-Authors Amalia, Novi Rizqi Bachtiar, Bayu Aji Budiasih Budiasih Fajar, Huda Muhammad Haq, Fika Sabila Janah, Maidatul Miswa, Sabrina Do Muchlisoh, Siti Novi Hidayat Pusponegoro Nuriyo, Amalia Ndaru Rahmi, Meautia Sumarni, Cucu