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All Journal Jurnal Litbang Kota Pekalongan Jurnal Ketenagakerjaan
Apriliawan, Yohanes Eki
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Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Pola Spasial Aksesibilitas Fasilitas Publik Kota Pekalongan: Pendekatan Grid dan Machine Learning Apriliawan, Yohanes Eki
JURNAL LITBANG KOTA PEKALONGAN Vol. 22 No. 2 (2024)
Publisher : Badan Perencana Pembangunan, Riset dan Inovasi Kota Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54911/litbang.v22i2.959

Abstract

This study analyzes infrastructure accessibility patterns in Pekalongan City using a grid-based approach and machine learning methods. By integrating data from BPS, OpenStreetMap, and ESRI 2023, the research employs 100m × 100m grid analysis units to measure accessibility to public facilities such as education, healthcare, and commerce. Analysis using three clustering methods (K-Means, Bisecting K-Means, and Agglomerative) identifies three distinctive accessibility patterns. The first cluster (40.29%) demonstrates optimal accessibility with high road density, predominantly in the city center. The second cluster (31.64%) exhibits moderate accessibility, characterizing transitional areas. The third cluster (32.90%) shows the lowest accessibility, particularly in southern and coastal regions. Machine learning modeling using Catboost achieves the highest accuracy with a logloss value of 0.0091, confirming distance to healthcare and commercial facilities as key determinants of accessibility. These findings provide empirical foundations for more targeted infrastructure development, with policy recommendations tailored to each cluster's characteristics. The developed methodology offers a novel approach to urban accessibility analysis that can be replicated in other cities with similar characteristics.
Climate & Gig Work: Is Heat Wave Reducing Gig Riders' Productivity in Greater Jakarta? Apriliawan, Yohanes Eki
Jurnal Ketenagakerjaan Vol 20 No 3 (2025): Gig Workers
Publisher : Pusat Pengembangan Kebijakan Ketenagakerjaan Kementerian Ketenagakerjaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47198/jnaker.v20i3.619

Abstract

This study demonstrates that rising surface temperatures significantly reduce gig rider productivity in Greater Jakarta, primarily by decreasing their weekly working hours and monthly income. Using spatial panel analysis with socioeconomic and environmental data from 2021 to 2024, we find that heat impacts are most severe in densely built, low-vegetation areas, while green spaces offer mitigation. Vegetation buffers the negative effects of heat, whereas higher night-time economic intensity exacerbates them. Metropolitan-scale analysis reveals that increases in temperature in one area also depress productivity in neighboring areas, highlighting interconnected climate risks. Further, gig riders are especially vulnerable compared to non-gig informal workers due to their mobility, exposure, and limited protections. These findings directly support policy priorities on human capital, economic transformation, and climate adaptation, emphasizing the urgent need for urban heat-safety standards, cooling infrastructure, and adaptive social protection for gig workers.
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