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All Journal Zero : Jurnal Sains, Matematika, dan Terapan
Priatmadani, Priatmadani
BPS-Statistics of Majene Regency
Agriculture, Biological Sciences & Forestry Chemistry Mathematics Physics

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Zero Inflated Poisson Regression for Analyzing Excess Zeros in Job Transition Data: A Case Study of Tourism Workers in Malang Regency Berliana, Sarni Maniar; Karim, Rafidah Abd; Yuliana, Rita; Budyanra, Budyanra; Prasetyo, Achmad; Kusuma, Arya Candra; Priatmadani, Priatmadani
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 1 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i1.24581

Abstract

This study examines job transition patterns among 868 tourism workers in Malang, Indonesia, a key tourism hub, using 2023 Fieldwork Training data from Politeknik Statistika STIS. It aims to model transitions while addressing the high number of workers with no job changes using a Zero-Inflated Poisson (ZIP) model, which better captures these patterns than standard models. The ZIP model, including sex, age, relationship to the head of household, education, and foreign language proficiency, shows that proficient workers are more likely to remain in stable roles, while men and younger workers exhibit greater mobility, particularly when leveraging language skills. These findings support Indonesia’s Sertifikasi Kompetensi SDM Pariwisata program by justifying targeted interventions: language training to enhance mobility for non-proficient workers, mentorship for female tour guides to address gender disparities, and digital skills programs for older workers to boost employability. These strategies align with government efforts to strengthen Malang’s tourism workforce resilience.
Co-Authors Achmad Prasetyo Berliana, Sarni Maniar Budyanra, Budyanra Karim, Rafidah Abd Kusuma, Arya Candra Yuliana, Rita