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All Journal DINAMIKA DOTCOM TEKNOLOGI INFORMASI JAIS (Journal of Applied Intelligent System) JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) SENTIA 2016 IJISTECH (International Journal Of Information System & Technology) Industri Inovatif : Jurnal Teknik Industri Jurnal Mnemonic Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Jurnal Bumigora Information Technology (BITe) IJISTECH JASEE Journal of Application and Science on Electrical Engineering ALINIER: Journal of Artificial Intelligence & Applications SinarFe7 JASTEN (Jurnal Aplikasi Sains Teknologi Nasional JEECS (Journal of Electrical Engineering and Computer Sciences) Magnetika: Jurnal Mahasiswa Teknik Elektro
M. Ibrahim Ashari
Natinal Institute Of Technology Malang
Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Physics Social Sciences Other

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Journal : JEECS (Journal of Electrical Engineering and Computer Sciences)

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Smoothing Algorithm Using Censor Distance on KRSRI ITN Malang Robot with Moving Average Method Adikasani, Waradana; Sotyohadi, Sotyohadi; Ashari, M. Ibrahim
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 1 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i1.2

Abstract

Distance sensors play a crucial role in robotic navigation systems, particularly in the Indonesian Search and Rescue Robot Contest (KRSRI). However, sensor readings often suffer from instability due to external disturbances such as robot leg movements and environmental interference. This research aims to address these issues by implementing a smoothing algorithm based on the Simple Moving Average (SMA) method to refine distance sensor readings from the GP2Y Infrared Proximity sensor, enabling the robot to detect obstacles more accurately. Experiments were conducted under various conditions, both with and without the smoothing algorithm, showing that the use of SMA significantly improves the stability and accuracy of sensor data. The results indicate that sensor readings with SMA exhibited minimal fluctuations, maintaining higher consistency around the actual measured distance, while readings without SMA showed significant variability and inaccuracies. The implementation of SMA successfully reduced measurement errors, with an average error reduction of 97.68% compared to the raw sensor data. This improvement ensures more reliable obstacle detection and navigation performance, thereby enhancing the robot’s effectiveness in competitions as well as search and rescue applications in real-world environments.
Co-Authors Achmad Danang Subekti Adikasani, Waradana AHMAD FAISOL Ahmad Fikri Prajadinata ahmad_sam_ani Alfarid Alfarid Hendro Yuwono Anis Artiyani Aqshal Jadhuk Prasetyo Aryuanto Soetedjo Cosnas Eric Septian Deddy Rudhistiar I Komang Somawirata i made krishna mahardika hermawan I Made Wartana Khulud Anshori Michael Ardita Mira Orisa Ni Putu Agustini Palevi, Bima Romadhon Parada Dian Parama Diptya Widayaka Purwoko Suryo Wibowo Putu Agustini , Ni Putu Agustini, Ni Rachmadi Setiawan Radimas Putra Muhammad Davi Labib Rahman, Fazzy Nur Fitratul Reza Diharja Sidik Noertjahjono Sirojul Hadi Sotyohadi Sutanto Hidayat taufiq, Aditya Yuwono , Alfarid Hendro Zulfikar Zauzi