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Traction Performance Analysis of Three Models of Traction Device for Muddy Soil Frandy Mey Syaputra; Wawan Hermawan; Radite Praeko Agus Setiawan
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 5 (2025): October 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i5.1627-1637

Abstract

Muddy paddy fields cause the traction performance of conventional traction devices to be suboptimal. Research on the analysis of traction performance on various traction devices is needed. The objective of this research is to design, analyze traction performance, and determine the best design from three models of traction devices, i.e. 1) track type, 2) pedal type, and 3) screw type on deep muddy soil. The research method used in this study is experimental, testing the traction performance of the three models at soil bin in muddy soil conditions at 25 cm deep. The parameters measured during the traction performance test are slip, sinkage, and traction efficiency. The treatment used in this study is a vertical load ranging from 93.2 N to 222.7 N. The best traction device design was chosen using the Analytical Hierarchy Process method. The results show that the traction performance achieved the highest score in determining the best traction device design, with a score of 0.78 (track) for the minimum load, 0.83 (track) for the medium load, and 0.87 (track) for the maximum load. Therefore, the track design was ideal, scoring the highest across all parameters.
GIS-Based Spatial Analysis for Optimizing Spare Parts Distribution of Combine Harvesters in Lampung, Indonesia Qouamunas Tsani Nuargimah; Radite Praeko Agus Setiawan; Mohamad Solahudin
Jurnal Keteknikan Pertanian Vol. 13 No. 4 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.4.642-652

Abstract

Rice harvesting machine in Lampung Province has been commonly used for both personal use and contracting system. This opens up business opportunities for the provision of spare parts and machine repair services, especially during the main harvest season. Determining office locations or business policies in a region requires an analysis of the internal and external factors of the business itself. The analytical method used in this study was Spatial Data Analysis (SDA) to determine the types of strategies and policies that must be carried out by dealers of Kubota brand harvesting machines in Lampung Province. This decision support system is based on the results of spatial data analysis at the sub-district level. The results of spatial data analysis that combines data on paddy field area, slope level, and machine acceptance level show that there are six groups of potential priority areas included the sub-district recommendation for placing part shop and comparing with the existing active dealer part shop. There are six areas group, and dealer has cover 4 of them. Dealer is suggested to add two more-part shop that located in Suoh and Sungkai Utara to cover all areas group that can cover all area within 2 hours by motorbike. Keywords: Combine harvester, spatial analysis, location determination analysis, decision support system