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Journal : ARRUS Journal of Engineering and Technology

Improving the Accuracy of Ground Displacement Estimation Using IMU with Low-Pass Butterworth Filter Widodo, Kartiko Ardi; Palevi, Bima Romadhon Parada Dian; Sigit, Nanta
ARRUS Journal of Engineering and Technology Vol. 5 No. 2 (2025)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech4580

Abstract

Land deformation monitoring generally relies on Global Navigation Satellite System (GNSS) and Interferometric Synthetic Aperture Radar (InSAR) technologies. While accurate, both methods have limitations: GNSS requires relatively expensive permanent infrastructure, while InSAR relies on atmospheric conditions and cannot function optimally in enclosed areas such as caves, tunnels, or areas with dense vegetation. In this context, the Inertial Measurement Unit (IMU) offers a more flexible, portable, and low-cost solution. IMUs can record acceleration data continuously without relying on satellite or radar signals, making them suitable for deformation monitoring in locations difficult to reach by GNSS or InSAR. However, IMU accuracy is often hampered by accumulated noise and multiple integration errors, which cause significant drift in displacement estimates. Previous research has focused on the Zero-Velocity Update (ZUPT) method to reduce errors, but the results still show significant deviations from the true value. The main contribution of this research is proposing the integration of the ZUPT method with a second-order Butterworth low-pass filter to reduce high-frequency noise that triggers error accumulation. Displacement testing results of 10–30 cm show significant accuracy improvements. Without the filter, the displacement estimation yielded an RMSE of 0.4292 m with a Relative Error of Prediction (REP) of –304.8%, indicating a significant deviation. After the application of the Butterworth filter, the accuracy improved dramatically with an RMSE of only 0.002 m and an REP of –0.40%, indicating that the proposed method is capable of reducing the error by more than 99%. Thus, this study not only proves the effectiveness of the integration of ZUPT and the Butterworth filter in improving the accuracy of the IMU, but also confirms the potential of the IMU as a reliable alternative for deformation monitoring in areas with limited access to GNSS or InSAR. These findings open up opportunities for further development towards a real-time, portable, and efficient IMU-based landslide monitoring system.
Co-Authors Alfa Riza Ramadhani Alfret Umbu Mawu Ananda Dwi Novitasari Andre Akbar Fajrialdi Andreas Dara Kandi Andri Setio Saputra Anisyah, Luluk Anita Pija Antonius Ferdy Ardinda, Larasati Purna Arief Setiyoargo Arief Setiyoargo Arief Setiyoargo Arif Wahono, Arif Ariyanti, Rea Artanto Daha Bara Aryuanto Soetedjo Asih Budi Santoso Bayu Firmanto Benaya Rexy Kondanamu Bhre Diansyah Dinda Khalifatulloh Cecilia Widijati Imam Cecilia Widijati Imam Cecilia Widijati Imam Chaidar Achmad2 Chandra Wibowo Budiono Dea Dita Rosita Debora, Oda Destiana Ina Devan Hans Sedya Devanus Lahardo Diah Wilis Basuki Ellia Ariesti Fahrur Rozi Faidliyah Nilna Minah Felana, Bayu Tri Firda Susanti Foury Handoko Francisco Da Conceição Neves De Sousa Grace Citra Dewi Hakim, Ghani Hermanus Alfonsus Ngara Ida Ayu P K Ida Ayu P K Iftitah Ruwana Ilham Poernomo Imroatul Khumaidah Ina Kaka, Serliana Intan Karisma, Yunita Irfan Maulana Irgi Ahmad Fahrozi Irhamsyah Jimmy João Quintão do Rêgo Jony Rodrigues Varela Kartiko Ardi Widodo Kristin, Agnes Carolina Kusnul Chotima Lalu Mulyadi M. Hasib Al Isbilly M.Hudan Dardiri M.Taufiq Nur Fitriyan Makdalena Kaka Maranatha Wijayaningtyas Maria Gheda Rangga Maria Pati Kaka Maria Valentina Uto Mario Armando K. Bitang Mariza Kertaningtyas Marta Jaha Ghada Martinus Kaka Maulana, Moh Moch Januar Ardiansyah Moh Maulana Moh. Maulana mone, ferdinandus Monika Luhung Muh Nurhakim Muklis Setiawan Munandar, Mochammad Aris Munek, Vzha Novita Muttaqin, Mohamad Zainul Nelly Budiharti Nita Dwi Nur Aini Nita Dwi Nur Aini Novenda Kartika Putrianto Novi Kurniawan Noviantari Nadzilah Nur Aini, Nita Dwi Nurfa Anisa Nurfa Anisa Nusa Sebayang Palevi, Bima Romadhon Parada Dian Paulus Dara Madu Pradikatama, Yafet Praygo Midi Mitra Setiawan Prima Vitasari Priyambodo, Dwi Ratno Purnomo Purnomo Purnomo Purnomo Putra Kaka Rahmat Afandi Raswati Prapti Rahayu Raswati Prapti Rahayu Renny Septiari Richard One Maxelly Richard One Maxelly Richard One Maxelly Rijal, Moch. Choirur Robertus Ndara Milla Romaden Marbun Romaden Marbun Romaden Marbun Ronaldinho Lowu Soan Rozikin, Rozikin Rudy Setyawan Rusdi Khanafi Sahadi Salsabila Faravisa Al’qalbiya Samgar Sarbini Sarbini, Sarbini Sedya, Devan Hans Selviana Ambu Kaka Sindy Setya Putri Sinta Luckyedi Soetam Rizky Wicaksono Sony Chandra Firmansyah Sony Mahardika Sudarto Sudarto Sunyoto Sunyoto Sunyoto Sunyoto Sutanto Hidayat Teguhadiyati Pangestyoarini Trianando, Mochamad Albarizi Utami, Yustina Ria Wahyu Dwi Valentinus Dendo Vincensia Dea Vivi Sylvia Purborini Wildan Liulil Abshor Wirawan Aryanto Balol Wirawan Aryanto Balol Wirawan Aryanto Balol, Wirawan Aryanto Wirawan Balol Wisoedhanie Widi Anugrahanti Wisoedhanie Widi Anugrahanti Yuntrihana Lalo Mone Yupika Halawa Zacky Ardana Putra Ismail Zulkarnaen, Lala Gayanti