Abstract:The limitations of conventional distillation technology hinder micro, small, and medium enterprises (MSMEs) from producing herbal products with consistent quality. This study aims to develop an Arduino-based distillation…
system equipped with automatic temperature control to improve the production capacity and quality of herbal liquid smoke at CV Moga Permata Perkasa. The research methods include system design and fabrication, functional testing, operator training, and performance evaluation. The results demonstrate a 35% increase in production capacity and stable temperature control within a ±2°C range during the distillation process. These findings indicate that the developed system effectively enhances production efficiency and product consistency. Furthermore, the proposed technology is affordable, easy to operate, and has strong potential for implementation and replication among similar MSMEs.
Abstract:Implementation of Internet of Things (IoT) technology and microcontrollers as an automatic temperature control system on tools for proofing bread dough at the Oei Oei Pizza and Patisserie Micro, Small, and Medium Enterprise…
ise (MSMEs). The primary issue faced by partners was temperature instability during the dough fermentation process, leading to inconsistent product quality. The implementation method included problem identification, tool design and construction, implementation at partner locations, and mentoring and evaluation. The results of the activity showed that the tool can help IoT-based systems maintain stable fermentation temperatures, improve dough quality consistency, and increase production efficiency. This initiative also has a positive impact on increasing partners' capacity to utilize appropriate technology.
Abstract:On January 27 and 28 2023, Manado City was hit by heavy rain which caused several areas to experience significant flooding. The high intensity of rain during that period reached extreme levels, resulting in the inundation…
n of several areas and submerging hundreds of residents' houses in 22 villages or sub-districts and 7 sub-districts in Manado. In studying this event, this research investigates the factors that influence extreme weather in Manado, observing sea surface temperature data, streamlines, air observations, the Southern Oscillation Index (SOI), and the Indian Ocean Dipole (IOD). The analysis shows that the positive SOI and negative IOD phenomena significantly impact extreme weather in the region. Cumulonimbus (Cb) clouds drove the atmospheric conditions formed on January 27 and 28 2023 and air flows from the Indian Ocean which brought wet air masses into Indonesian territory. High sea surface temperatures, reaching 28-29°C, also play a role in the intensive growth of rain clouds. Based on atmospheric conditions seen from radiosonde observation data, the stability index value shows that unstable conditions trigger heavy rain which causes flooding