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Design and Performance Analysis of an Automatic Plastic Mulch Cutting and Punching Machine Using PID Control Dian Neipa Purnamasari; Achmad Fiqhi Ibadillah; Achmad Ubaidillah; Adi Kurniawan Saputro; Deni Tri Laksono
Jurnal Teknik Elektro dan Komputer TRIAC Vol 13, No 1 (2026): Mei 2026
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v13i1.33970

Abstract

Plastic mulch is widely used in horticulture to improve soil moisture retention, regulate temperature, and suppress weed growth. However, manual cutting and hole-punching processes are time-consuming, labor-intensive, and produce inconsistent results. This study presents the design and performance analysis of an automatic plastic mulch cutting and punching machine using a PID (Proportional–Integral–Derivative) control system. The system is based on an Arduino Nano. It integrates a DC motor for mulch feeding, a NEMA 17 stepper motor for the punching mechanism, a heater band controlled by an AC dimmer, and a photoelectric sensor for length feedback. PID parameters were initially determined using the Ziegler–Nichols method (Kp=13.5, Ki=2.8, Kd=7.1) and optimized experimentally to Kp=10, Ki=2, and Kd=1. Experimental results show that the optimized PID controller achieves a stable motor response with no oscillation and minimal overshoot, enabling accurate stopping at the desired set point. The system produces a consistent hole spacing of approximately 43.96 cm. Minor deviations were caused by sensor noise and environmental interference.
Systematic Literature Review of SEP-Based Clustering Protocols in Wireless Sensor Networks: Taxonomy, Critical Analysis, and Adaptive Multi-Parameter Framework Proposal Dian Neipa Purnamasari; Muhhammad Iyan Putra Pratama
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.658

Abstract

Clustering protocols derived from the Stable Election Protocol (SEP) have been extensively studied for improving energy efficiency in heterogeneous Wireless Sensor Networks (WSNs). However, existing studies remain fragmented, with inconsistent evaluation settings, non-standardized performance metrics, and limited analysis of parameter sensitivity, making cross-study comparison unreliable. This paper presents a PRISMA-guided Systematic Literature Review (SLR) of 42 primary studies published between 2021 and 2026. The review classifies SEP-based approaches into four categories: energy-based (33%), distance-aware (24%), AI-based (21%), and hybrid (21%), and critically evaluates their methodological rigor. The analysis reveals three key research gaps: lack of evaluation standardization, insufficient exploration of heterogeneity parameters, and absence of realistic deployment scenarios. To address these issues, this study proposes ADSEP (Adaptive Dynamic SEP), a three-layer conceptual framework integrating energy normalization, spatial awareness, and adaptive routing strategies. Unlike prior work, ADSEP is positioned as a structured research direction with a defined validation protocol rather than a standalone protocol. This work contributes not only a taxonomy and critical synthesis of SEP-based protocols but also establishes a principled roadmap for future research in heterogeneous WSN clustering.