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PENGUATAN KEBANGSAAN MELALUI PRODUK RANCANG BANGUN MESIN PENCACAH PLASTIK SINGLE SHAFT SKALA RUMAH TANGGA Kasyafullah, Muhammad Salik; Suryaman
JURNAL KEBANGSAAN RI Vol. 1 No. 1 (2023): JURNAL KEBANGSAAN RI
Publisher : LEMBAGA PUSAT KAJIAN KEBANGSAAN/PUSKAB UKRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/jkri.v1i1.3362

Abstract

The use of plastic as a packaging material and other equipment has caused environmental problems. The longer it accumulates, because plastic waste is not easily destroyed by rain and sun or microbes that live in the soil, this increasing environmental damage. In order to overcome this environmental problem, you can apply 3R (Reduce, Reuse, Recycle) by recycling plastic waste and reprocessing it into plastic ore or into plastic molding products. The purpose of this research is to produce a plastic shredder capable of chopping plastic waste according to the target to be achieved with a Shredder Machine design system with two edge cutters for cutting plastic waste, Solidworks is used to produce blade geometry and shape, blade material used is SS400 which has been carburized to make it stronger and more resilient, from the calculation process the plastic chopper obtained 0.45 Hp With a rotation of 47 RPM and a shaft diameter of 28 mm with a total of 14 Rotating Blades and 40 Silent Blades the production process obtained 62 kg/hour
Failure Mode and Effect Analysis (FMEA) for Improving the Efficiency of a Two Combustion Chamber Downdraft Gasification Stove Suryaman; Zakaria, Kiki; Yuningsih, Siti Hadiaty
Operations Research: International Conference Series Vol. 6 No. 2 (2025): Operations Research International Conference Series (ORICS), June 2025
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v6i2.387

Abstract

The growing energy demand in areas lacking access to modern infrastructure drives the development of biomass-based thermal technologies, such as the dual-chamber downdraft gasification stove. This stove offers higher efficiency and lower emissions compared to direct combustion but still poses failure risks in various system components. This study aims to identify critical failure modes affecting the thermal efficiency of the stove through the Failure Mode and Effect Analysis (FMEA) approach. The analysis involved mapping the system's structure and functions, followed by evaluating failure modes using three parameters: Severity (S), Occurrence (O), and Detection (D) to obtain the Risk Priority Number (RPN). Results indicate the highest risk occurs in the combustion system (RPN 180), followed by the air control system (RPN 160). Key causes include suboptimal secondary air distribution and valve blockage. Other systems such as insulation, maintenance access, safety, and fabrication had lower RPNs but still require design and quality control improvements. Recommendations focus on improving airflow design, using high-temperature-resistant materials, and adopting precision fabrication procedures. Using the FMEA approach, the gasification stove can be enhanced in terms of reliability, efficiency, and user safety, making it more feasible as a small-scale renewable energy solution for communities.
Combustion Performance Comparison of Charcoal and Coconut Shell Charcoal Briquettes for Renewable Energy Applications Suryaman; Zakaria, Kiki; Halim, Nurfadhlina Abdul
International Journal of Ethno-Sciences and Education Research Vol. 6 No. 1 (2026): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v6i1.1164

Abstract

The increasing demand for renewable energy has encouraged the utilization of biomass-based solid fuels derived from agricultural waste. This study experimentally compares the combustion performance of coconut shell charcoal and coconut shell charcoal briquettes under controlled laboratory conditions. The evaluation focused on combustion temperature characteristics, burning rate, effective burning duration, and thermal efficiency using the Water Boiling Test (WBT) method. The results indicate that coconut shell charcoal achieved a higher peak combustion temperature of approximately 720 °C and a higher burning rate of 9.6 g/min, reflecting rapid and intense heat release. In contrast, charcoal briquettes exhibited a more stable combustion behavior with a longer effective burning duration of about 78 minutes compared to 42 minutes for charcoal, and a higher thermal efficiency of 31.4%, while charcoal reached 23.6%. These differences are mainly attributed to variations in bulk density, porosity, and combustion kinetics between the two fuel forms. Overall, coconut shell charcoal is more suitable for applications requiring rapid heat generation, whereas charcoal briquettes offer superior performance in terms of fuel efficiency, combustion stability, and sustained heat output, making them a more favorable option for renewable and efficient biomass energy applications.
Implementation of Fuzzy Logic Control on a Robotic Arm Prototype for Object Position Detection Suryaman; Pangestu, Tegar Dwi; Mardiati, Rina; Setiawan, Aan Eko; Yuningsih, Siti Hadiaty; Zakaria, Kiki
International Journal of Research in Community Services Vol. 7 No. 1 (2026): International Journal of Research in Community Service (IJRCS)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v7i1.1101

Abstract

The rapid advancement of robotics technology has significantly enhanced industrial automation, enabling continuous, precise, andefficient operations. This study aims to design and implement a Fuzzy Logic Control (FLC) system based on the Mamdanimethod in a robotic arm prototype capable of detecting and classifying object positions automatically. The prototype utilizes anArduino Mega 2560 microcontroller as the main controller and a Pixy2 CMUCam5 vision sensor for object detection. Two maininput parameters are used: Turn (object position) and Area (object distance from the camera). The control outputs are the angularpositions of the base and elbow servos. Experimental results show that the FLC system achieves high accuracy with a mean errorof 0.25% for the base servo and 0.27% for the elbow servo, compared to simulation and manual calculations. Furthermore, thefuzzy-based system demonstrated superior efficiency in detecting object positions (center, left, right) compared to non-fuzzycontrol. These findings indicate that implementing Mamdani Fuzzy Logic significantly improves the precision and responsivenessof robotic arm movement in object detection and manipulation tasks