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Journal : Advance Sustainable Science, Engineering and Technology (ASSET)

Analysis Spatial Pattern Garbage Bank using Web Geographic Information System in Yogyakarta City Vidyana Arsanti; Rizqi Sukma Kharisma; Sidiq Arfianto
Advance Sustainable Science Engineering and Technology Vol 5, No 1 (2023): November-April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v5i1.15139

Abstract

Minimizing waste with independent waste management realizes the 3-R principle, one of which is the waste bank program. There are 448 waste banks in the entire city of Yogyakarta, which is about 73% of the total RW in the city of Yogyakarta. However, from this data, the visual form of the spatial distribution of waste banks in Yogyakarta City has yet to be discovered with certainty. This quantitative research analyzes the distribution pattern of waste banks in Yogyakarta City using the Nearest Neighbor Analysis method. The objectives of this study are (1) to determine the visual form of the spatial distribution of waste banks in the city of Yogyakarta; (2) to analyze the distribution pattern of waste banks in the city of Yogyakarta. The results are (1) The visual form of the spatial distribution of waste banks in Yogyakarta City is spread in almost all areas of Yogyakarta City, with an area of 32.5 km2. Waste Banks that have been plotted locations are 448 waste banks; (2) The distribution pattern of the waste bank in the city of Yogyakarta is dispersed or uniform/regular distribution pattern.
Optimizing Electrical Efficiency and Thermal Performance of AMD Ryzen 3 2200G Processor through Undervolting in Synthetic Benchmarks and Gaming Scenarios Rizqi Sukma Kharisma; Ibnu Herlambang Wicaksono
Advance Sustainable Science Engineering and Technology Vol 5, No 3 (2023): August-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v5i3.16869

Abstract

Undervolt is a term that refers to a way to make a computer device run on lower electrical power than the manufacturer's provisions. To do undervolting requires a good experience for user and computer devices that are good or specialized for undervolt purposes such as processors. This study aims to find the optimal minimum voltage that the processor can use without causing performance degradation or instability, and temperature drops that the processor produces while it is running. In this study, the author tested a processor device with the type of AMD Ryzen that already supports the undervolting process from the factory. AMD Ryzen 3 2200G processor is one of the processors with 14nm fabrication, where this processor promises significant performance with the number of cores, memory chace capacity, and power efficiency. On this day, many games demand the use of an aggressive processor. Of course, this will consume power on a larger processor. The author conducted several test scenarios to get the best performance. It was found that the scenario with undervolt at 1.25V showed the best performance.