Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal JDE (Journal of Developing Economies) Prosiding Seminar Nasional Official Statistics PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS
Oktaviana, Lisda
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Analisis Faktor-Faktor yang Memengaruhi Stunting di Indonesia Tahun 2021 Hardinata, Rizki; Oktaviana, Lisda; Husain, Farah Fadhilah; Putri, Syofmarlianisyah; Kartiasih, Fitri
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.v2023i1.1867

Abstract

Stunting is a problem that arises from a lack of nutrition and can interfere with the growth and development of children. The high prevalence of stunting can be an indicator of the low quality of a country's human resources. The impacts include limited cognitive abilities, low productivity, and a high risk of disease, which have a long-term negative impact on the preservation of the country. Therefore, stunting is one of the targets of the Sustainable Development Goals (SDGs). The purpose of this study was to analyze the factors that influence the prevalence of stunting in Indonesia in 2021. This study used a cross-sectional approach with secondary data from the Central Bureau of Statistics and the Indonesian Ministry of Health. The research methods used are descriptive analysis and inferential analysis with multiple linear regression. The results showed that the proportion of low-birth-weight babies significantly increased the prevalence of stunting. On the other hand, the proportion of households that had access to sanitation allowed it to significantly reduce the prevalence of stunting in Indonesia.
Impact of Coal Export Decline on East Kalimantan's Mining and Coal Industry Randa, Abigail Brenda Pasorong; Rohmat, Erwin Agung Nur; Oktaviana, Lisda; Albab, Muhammad Hafiz; Kartiasih, Fitri
Journal of Developing Economies Vol. 10 No. 1 (2025)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jde.v10i1.61414

Abstract

Two of Indonesia’s top export commodities are coal and lignite. However, there is a decrease in the value of coal exports in 2023. The province in Indonesia with the biggest coal reserves is East Kalimantan. This study aims to examine the condition of the mining and coal industry and its relationship with other industries, determine the leading sectors, and assess the impact of the decline in coal exports on the economy of East Kalimantan. The input-output and gross regional domestic product tables for East Kalimantan in 2016 and 2023 are used in the analysis. This study found that even though it is not a leading industry, the mining and coal sector is still an important sector for the economy of East Kalimantan. All economic sectors experienced a decline in output due to the decline in the value of coal exports (mining products) in East Kalimantan, and this sector alone felt the greatest impact—around 73.67% of the total impact in all economic sectors. To process and purify coal produced during mining, the government must establish close communication with business owners in the coal mining industry. Apart from that, the development of the downstream coal industry must also be completed immediately.
Disaggregating the Hidden: Small Area Estimates of Child Labor in Bali Province Agung, Ahmad Nadifa Al; Sari, Arlita Dwina Firlana; Azarine, Clarissa; Oktaviana, Lisda; Aqsha, Zidan Akbar Al; Istiana, Nofita
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.433

Abstract

Child labor remains a critical concern in Indonesia, including in Bali Province, which exhibits a higher prevalence than the national average. However, efforts to formulate effective local policies are often hindered by the unreliability of child labor statistics at the regency/municipality level, primarily due to high Relative Standard Error (RSE) values. This study seeks to estimate more reliable proportion of child labor at the regency level in Bali through the application of Small Area Estimation (SAE). The analysis utilizes data from the August 2024 Sakernas survey, supplemented with contextual variables from the 2024 PODES dataset. The SAE approach employed was the Hierarchical Bayes method with a Beta distribution (HB-Beta). The findings indicate that the HB-Beta model yields better accurate estimates, as evidenced by RSE values below 25% across all regencies. This demonstrates the potential of the HB-Beta model produces more accurate estimates than direct estimates, as it can better reflect differences between regency and help design more effective local policies to reduce child labor.
Co-Authors Agung, Ahmad Nadifa Al Albab, Muhammad Hafiz Aqsha, Zidan Akbar Al Azarine, Clarissa Fitri Kartiasih Hardinata, Rizki Husain, Farah Fadhilah Istiana, Nofita Putri, Syofmarlianisyah Randa, Abigail Brenda Pasorong Rohmat, Erwin Agung Nur Sari, Arlita Dwina Firlana