Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal International Journal of Research in Community Services International Journal of Ethno-Sciences and Education Research
Kiki Zakaria
Unknown Affiliation
Religion Humanities Economics, Econometrics & Finance Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Transportation Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Implementation of Fuzzy Logic Control on a Robotic Arm Prototype for Object Position Detection Suryaman; Tegar Dwi Pangestu; Rina Mardiati; Aan Eko Setiawan; Siti Hadiaty Yuningsih; Kiki Zakaria
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
Combustion Performance Comparison of Charcoal and Coconut Shell Charcoal Briquettes for Renewable Energy Applications Suryaman; Kiki Zakaria; Nurfadhlina Abdul Halim
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.
Co-Authors Aan Eko Setiawan Nurfadhlina Abdul Halim Rina Mardiati Siti Hadiaty Yuningsih Suryaman Tegar Dwi Pangestu