Design Optimization of Mulch Plastic Perforating Machines for Enhanced Agricultural Efficiency

Rino Sukma; Dwiny Meidelfi; Fanni Sukma; Surfa Yondri; Sukartini

doi:10.59890/ijatss.v2i12.81

Authors

Rino Sukma Padang State Polytechnic
Dwiny Meidelfi Padang State Polytechnic
Fanni Sukma Padang State Polytechnic
Surfa Yondri Padang State Polytechnic
Sukartini Padang State Polytechnic

DOI:

https://doi.org/10.59890/ijatss.v2i12.81

Keywords:

Mulch, Agricultural Mechanization, Perforating Machine, Design Optimization, CAD Modeling

Abstract

Mulch is widely used in modern agriculture to conserve soil moisture, regulate temperature, and reduce weed growth, significantly enhancing crop productivity. However, the manual perforation of Mulch for planting introduces inefficiencies, including labor-intensive processes, inconsistent results, and time consumption. This research presents the design and optimization of an advanced mulch perforating machine to address these challenges. The research involved a comprehensive assessment of existing designs, identification of critical performance parameters, and integration of modern engineering solutions. The optimized design features a lightweight aluminum frame for enhanced portability, a precision perforation system utilizing solenoids and microcontroller-based control, and modular components for ease of maintenance. A CAD model was developed to refine the design and identify potential improvements before prototyping.

Performance evaluations showed that the optimized machine achieved a production rate of 120 perforations per minute, more than doubling the efficiency of traditional methods. Comparative analyses confirmed their advantages over previous designs, including reduced operational costs and improved usability. This research concludes that the optimized Mulch perforating machine offers significant potential to improve agricultural productivity while reducing labor dependency and operational inefficiencies. Recommendations for future research include field testing under diverse conditions, exploring IoT integration for real-time monitoring, and analyzing the economic impact on smallholder farmers. This innovation represents a step forward in the mechanization of agriculture, supporting sustainable and efficient farming practices

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