Article Per Year (5 Year)
p-Index From 2020 - 2025
0.702
P-Index
This Author published in this journals
All Journal ALINIER: Journal of Artificial Intelligence & Applications Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Innovative: Journal Of Social Science Research
san, Santoso
Unknown Affiliation
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : ALINIER: Journal of Artificial Intelligence

 1 
Implementasi Filter Complementary untuk Perbaikan Estimasi Sudut pada Robot Roda Dua san, Santoso; Hartayu, Ratna; Ridho'i, Ahmad; Setyadjit, Kukuh; Swarga, Lutfi Agung
ALINIER: Journal of Artificial Intelligence & Applications Vol. 6 No. 1 (2025): ALINIER Journal of Artificial Intelligence & Applications
Publisher : Program Studi Teknik Elektro S1 ITN Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/alinier.v6i1.14468

Abstract

Penelitian ini bertujuan merancang sistem robot roda dua berbasis Arduino Uno dengan menggunakan sensor gyroscope MPU6050 untuk mengukur sudut kemiringan, menjaga keseimbangan menggunakan kontrol PID sederhana. Data sensor diproses menggunakan filter complementary untuk menggabungkan data gyroscope dan accelerometer. Nilai konstanta PID terbaik diperoleh pada Kp=35, Ki=0.8, Kd=25. Hasil pengujian menunjukkan robot mampu mempertahankan keseimbangan dengan error rata-rata ±2° dari sudut vertikal. Penggunaan filter complementary efektif mengurangi noise dan drift sensor. Penelitian ini membuktikan bahwa kombinasi Arduino, MPU6050, filter complementary, dan kendali PID sederhana mampu menghasilkan sistem keseimbangan robot dua roda yang stabil dan responsif. This study aims to design a two-wheeled robot system based on Arduino Uno using the MPU6050 gyroscope sensor to measure the tilt angle, maintain balance using simple PID control. Sensor data is processed using a complementary filter to combine gyroscope and accelerometer data. The best PID constant value is obtained at Kp = 35, Ki = 0.8, Kd = 25. The test results show that the robot is able to maintain balance with an average error of ± 2 ° from the vertical angle. The use of complementary filters effectively reduces noise and sensor drift. This study proves that the combination of Arduino, MPU6050, complementary filters, and simple PID control can produce a stable and responsive two-wheeled robot balance system
Analisis Jarak Deteksi dan Respon Robot Pendeteksi Api Berbasis Sensor Cahaya san, Santoso; Hartayu, Ratna; Basyarach, Niken; Riyanti, Kurnia; Ridho'i, Ahmad; Setyadjit, Kukuh
ALINIER: Journal of Artificial Intelligence & Applications Vol. 6 No. 1 (2025): ALINIER Journal of Artificial Intelligence & Applications
Publisher : Program Studi Teknik Elektro S1 ITN Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/alinier.v6i1.14469

Abstract

Amri, H.S. (2010) ‘Sensor UVtron sebagai pendeteksi api pada robot pemadam api berbasis mikrokontroler atmega8535’. Available at: https://digilib.uns.ac.id/dokumen/15413/Sensor-UVtron-sebagai-pendeteksi-api-pada-robot-pemadam-api-berbasis-mikrokontroler-atmega8535 (Accessed: 18 May 2025). Arias, L. et al. (2008) ‘Photodiode-based sensor for flame sensing and combustion-process monitoring’, Applied Optics, 47(29), pp. 5541–5549. Available at: https://doi.org/10.1364/AO.47.005541. Cahyadi, H.D., Mirza, Y. and Laila, E. (2022) ‘Rancang Bangun Alat Pendeteksi Kebakaran Menggunakan Flame Sensor dan Sensor Asap Berbasis Arduino’, Jurnal Laporan Akhir Teknik Komputer, 2(1). Available at: https://jurnal.polsri.ac.id/index.php/JLATK/article/view/6193 (Accessed: 18 May 2025). Cheong, P. et al. (2011) ‘A ZigBee-Based Wireless Sensor Network Node for Ultraviolet Detection of Flame’, IEEE Transactions on Industrial Electronics, 58(11), pp. 5271–5277. Available at: https://doi.org/10.1109/TIE.2011.2119455. Fatimah, S. and Santoso, S. (2015) ‘Robot pendeteksi api’, Jurnal Sains dan Informatika, 1(1), pp. 71–80. Gaur, A. et al. (2019) ‘Fire Sensing Technologies: A Review’, IEEE Sensors Journal, 19(9), pp. 3191–3202. Available at: https://doi.org/10.1109/JSEN.2019.2894665. Hutagalung, D.D. (2018) ‘RANCANG BANGUN ALAT PENDETEKSI KEBOCORAN GAS DAN API DENGAN MENGGUNAKAN SENSOR MQ2 DAN FLAME DETECTOR | JURNAL REKAYASA INFORMASI’. Available at: https://ejournal.istn.ac.id/index.php/rekayasainformasi/article/view/279 (Accessed: 18 May 2025). Juwariyah, T. (2018) ‘Perancangan Sistem Deteksi Dini Pencegah Kebakaran Rumah Berbasis ESP8266 dan Blynk’, TRANSISTOR Elektro dan Informatika, 3(2), pp. 120–126. Available at: https://doi.org/10.30659/ei.3.2.120-126. Maspiyanti, F. and Hadiyanti, N. (2017) ‘ROBOT PEMADAM API MENGGUNAKAN METODE FUZZY LOGIC’, Jurnal Teknologi Terpadu, 3(2). Available at: https://doi.org/10.54914/jtt.v3i2.77. Monica P Suresh (2022) An Arduino Uno Controlled Fire Fighting Robot for Fires in Enclosed Spaces. Available at: https://ieeexplore.ieee.org/document/9987432 (Accessed: 18 May 2025). Rosit, H.A. et al. (2023) ‘Identifikasi dan Mitigasi Kebakaran Hutan dan Lahan melalui Zonasi Wilayah Rawan Kebakaran dengan Teknologi Geospasial’, Widya Bhumi, 3(1), pp. 13–30. Available at: https://doi.org/10.31292/wb.v3i1.53. Santoso et al. (2023) ‘Design and Build Two Wheel Balancing Robot Simulation with Fuzzy PID’, in. International Conference on Advanced Engineering and Technology, SCITEPRESS, pp. 124–128. Available at: https://doi.org/10.5220/0012108300003680. Santoso, S. and Mursyid, S. (2017) ‘KONTROL PROPORTIONAL INTEGRAL (PI) PADA ROBOT LINE FOLLOWER’, Jurnal Sains dan Informatika, 1(1), pp. 10–10. Wijaya, M.A., Ikhsan, R.N. and Sugianto, E. (2022) ‘Analisis Perbandingan Kinerja Antara Sensor Api Flame 5 Channel Dengan Sensor Asap MQ2’, Bulletin of Information Technology (BIT), 3(4), pp. 231–238. Available at: https://doi.org/10.47065/bit.v3i4.364. Zhang, F. et al. (2012) ‘The design and implementation of intelligent inspection robot system using combined flame sensors and infrared sensors’, in 2012 International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA). 2012 International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA), pp. 297–301. Available at: https://doi.org/10.1109/MSNA.2012.6324572. Zhang, Z. and Li, J. (2023) ‘A Review of Artificial Intelligence in Embedded Systems’, Micromachines, 14(5), p. 897. Available at: https://doi.org/10.3390/mi14050897.
Co-Authors Ariyanto, Adhitiya Dwijaya Balok Hariadi, Balok Basyarach, Niken Hartayu, Ratna Kukuh Setyadjit, Kukuh Nur Alfian, Muhammad Ridho'i, Ahmad Riyanti, Kurnia Swarga, Lutfi Agung