Nuryantiningsih Pusporini
PT. Sagamartha Ultima Indonesia

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Modeling Optimization of Sugarcane Transportation Routes in East Java Province Nuryantiningsih Pusporini; Anisaul Izah; Zahra Mustafafi
East Java Economic Journal Vol. 10 No. 1 (2026)
Publisher : Kantor Perwakilan Bank Indonesia Provinsi Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53572/ejavec.v10i1.167

Abstract

East Java makes a significant contribution to the national sugar industry, accounting for 47.34% of Indonesia’s total sugar production during the 2018-2022 period. Given East Java’s crucial position in the national sugar supply chain, efforts are needed to continually develop all aspects of improvement in this sector. This research aims to identify existing sugarcane transportation routes, determine optimal routes for sugarcane transportation, and measure efficiency and its contribution to the economy in East Java Province. Employing GIS, big data, and machine learning approaches, this study models existing routes and proposes more efficient optimal routes through a clustering approach. The results indicate that implementing optimal routes can reduce the average distance of sugarcane transportation by up to 63%, which translates to significant fuel cost savings. This efficiency also enables a reduction in sugarcane harvesting and transportation costs by approximately 12% and sugarcane production costs by approximately 3%. This study highlights the importance of synchronizing transportation policies and improving road infrastructure to support sugarcane logistics efficiency.
Illuminating Energy Efficiency: Satellite-Guided Insights for Optimizing Urban Street Lighting Across Indonesian Cities Firman Afrianto; Dimas Tri Rendra Graha; Nuryantiningsih Pusporini; Alifianto Setiawan
Indonesian Journal of Energy Vol. 8 No. 1 (2025): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v8i1.230

Abstract

This study introduces a ground-breaking method for enhancing urban energy management by integrating high-resolution night-time satellite imagery from SDGSAT-1 with detailed ground-truth verification of street lighting across major cities in Central Java and DIY. Utilizing the Glimmer Imager for Urbanization (GIU) with 10-meter resolution, this research precisely identifies different urban street lamp types and evaluates their impact on energy consumption. As the demand for public street lighting grows with urban expansion, there is a pressing need for efficient energy management to sustain urban development and reduce environmental footprints. This study focuses on Semarang, Yogyakarta, and Solo, aiming to assess energy efficiency by examining how different street lighting affects energy usage across various road network types. By employing pan sharpening techniques to enhance image resolution and zonal statistics for in-depth analysis, the research finds significant correlations, especially in the red spectral band. This correlation suggests the potential of using SDGSAT-1 data to estimate streetlight energy consumption where direct measurements are unavailable. The findings also reveal significant variations in energy consumption across different road types, attributed to varying traffic and lighting needs. By highlighting these disparities, the study underscores the potential of transitioning to LED lighting, which can reduce energy consumption by up to 69%. This research not only demonstrates the capabilities of satellite imagery in urban energy management but also offers practical insights for cities looking to improve lighting efficiency, reduce costs, and promote sustainability in urban planning.