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All Journal Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Jurnal Statistika Terapan (JSTAR)
Ni Putu Esti Utami Barsua
Politeknik Statistika STIS
Humanities Computer Science & IT Economics, Econometrics & Finance Energy Environmental Science Public Health Social Sciences

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PENDEKATAN SMALL AREA ESTIMATION UNTUK PEMETAAN PEKERJA DISABILITAS DI NUSA TENGGARA SEBAGAI DUKUNGAN STATISTIK BAGI DASA CITA NTT Ni Putu Esti Utami Barsua; Pembayun Otsu Indiana; Mahira Fachrunnisa Lubis; Kevin Rizkika Setiawan; Dolly Fernando; Nofita Istiana
Jurnal Statistika Terapan (ISSN 2807-6214) Vol 5 No 2 (2025): Jurnal Statistika Terapan
Publisher : Badan Pusat Statistik Provinsi NTT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64930/jstar.v5i2.126

Abstract

This paper examines the estimation of the number of workers with disabilities in the Nusa Tenggara region using Sakernas 2024 data. The limited sample sizes in several districts lead to high sampling errors, necessitating a more reliable small-area statistical approach (Small Area Estimation). The unavailability of accurate small-area labor statistics for persons with disabilities hampers evidence-based regional development planning and inclusive policymaking. This study applies the Small Area Estimation (SAE) method using a Hierarchical Bayesian (HB) Poisson–Gamma model to handle count data with overdispersion—an approach that remains rarely applied in Indonesian labor statistics. The model is developed by integrating Sakernas data with auxiliary information from PODES and the Ministry of Education. Estimation is conducted through Bayesian inference using Markov Chain Monte Carlo (MCMC) simulation. The HB Poisson–Gamma model effectively reduces the Relative Standard Error (RSE) from an average of 44.6% in direct estimation to below 10% across 32 districts in Nusa Tenggara. These results demonstrate the model’s ability to improve data reliability and support inclusive employment policies aligned with regional development priorities.
Analysis of the Linkages and Impact of Electricity Industry Investments on Leading Industries in East Nusa Tenggara Province Ni Putu Esti Utami Barsua; Firman Emmanuel Declarantius Parulian; Yulia Nawang Wulandari; I Made Joel Jaya Dilaga; Fitri Kartiasih
Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Vol 21 No 1 (2026): March 2026
Publisher : Faculty of Economics and Business Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/er.v21i1.13710

Abstract

This study aims to identify key industries in East Nusa Tenggara (NTT) in 2023, examine the linkages between these industries, and analyze the impact of investment shocks in the electricity sectors. Using the updated 2023 input-output tables, the analysis includes interrelationships, multiplier effects, and impact simulations. The study reveals that investment in the electricity sector is vital for boosting production and distribution capacity in NTT. Eight important NTT industries demonstrated significant forward and backward links in 2023. It is anticipated that investments made in the electrical sector will increase total economic production. This investment benefits not just the electrical industry directly but also other industries, especially wholesale and retail trade. In the future, an exploration of the possibilities of renewable energy should be conducted.
Co-Authors Dolly Fernando Firman Emmanuel Declarantius Parulian Fitri Kartiasih I Made Joel Jaya Dilaga Kevin Rizkika Setiawan Mahira Fachrunnisa Lubis Nofita Istiana Pembayun Otsu Indiana Yulia Nawang Wulandari