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Modifikasi Bak Pendingin Pada Proses Produksi Asap Cair Tempurung Kelapa Untuk Peningkatan Volume Produksi Abdul Fatah, Kemas Muhammat; Kuncoro, Dwi
Infotekmesin Vol 13 No 1 (2022): Infotekmesin: Januari, 2022
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v13i1.874

Abstract

Increasing the production of liquid smoke is an attempt to raise the utilization of coconut shells as a by-product of the coconut fruit. The distillation process is a way to produce liquid smoke and condensation occured in the cooling bath. Improving the cooling bath can increase the production volume. This study aims to determine the performance of the cooling bath in 10 experiments with variations in the level of the water flow rate factor of 20 liters/minute, 25 liters/minute, 30 liters/minute, and the level of the airflow velocity factor of 35 m/s, 40 m/s. and 45 m/s. Modifying the cooling bath can improve its performance and increase the volume of liquid smoke. The largest increase of 36.14% was achieved at the water flow rate in the level of 30 liters/minute and the airflow velocity factor in the level of 45 m/s, at 26.2oC of the cooling bath temperature.
Identification of the causes of convective clouds in extreme rainfall events with hail based on dual-polar radar imagery Rafi, Rayhan; Kuncoro, Dwi; Arzhida, Bima; Jannah Indriyani, Noor; Warjono, Warjono
Jurnal Penelitian Saintek Vol 30, No 2 (2025)
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jps.v30i2.89950

Abstract

This study aims to analyze the atmospheric dynamics behind the formation of convective clouds that produce hail through a multi-instrumental approach. The methods used include streamline map analysis, synoptic data from the Yogyakarta Climatology Station, Himawari-9 HCAI satellite imagery, and dual-polar radar data from the Ahmad Yani Meteorological Station. The results reveal local wind convergence and significant air pressure drop, triggering rapid and intensive formation of Cumulonimbus clouds. Radar products, such as CMAX and HAILSZ, indicate high reflectivity and the presence of large hail particles within the clouds. Hail size is estimated to range from 10–20 mm with a probability of more than 80%. Rain validation shows the highest accumulation of 74 mm/day in Minggir District, Sleman. This study emphasizes the importance of integrating satellite, radar, and surface observation data for detecting extreme weather in tropical regions.