Irawan, Nizaar Roby (2025) Perancangan Sistem Pengukuran Dengan Low-Pass Filter Untuk Meningkatkan Kinerja Sistem Weigh-In-Motion (WIM). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kendaraan Over Dimension Over Load (ODOL) merupakan salah satu penyebab utama kerusakan jalan di Indonesia. Sistem pengukuran beban kendaraan yang dapat bekerja secara dinamis diperlukan untuk mendukung pengawasan yang lebih efektif. Penelitian ini bertujuan untuk merancang sistem Weigh-In-Motion (WIM) skala laboratorium yang mampu melakukan pengukuran beban kendaraan secara statis dan dinamis, serta mengevaluasi efektivitas penerapan filter digital low-pass untuk meningkatkan akurasi pengukuran. Sistem dirancang menggunakan delapan sensor load cell yang disusun dalam dua jalur sejajar. Pengujian dilakukan dengan kendaraan dua dan tiga sumbu pada kecepatan 1–5 km/jam. Tiga jenis filter digital yang digunakan yaitu Butterworth, Chebyshev Type I, dan Elliptic. Evaluasi kinerja sistem menggunakan metrik Root Mean Square Error (RMSE). Hasil pengujian menunjukkan bahwa akurasi sistem menurun seiring peningkatan kecepatan kendaraan. Hal ini disebabkan oleh gangguan dinamis dan fluktuasi sinyal yang memengaruhi akurasi pengukuran, terutama saat kendaraan melaju lebih cepat, sehingga sistem cenderung mengalami underestimation akibat keterbatasan dalam menangkap beban kendaraan yang bergerak. Nilai berat kendaraan yang terukur cenderung lebih rendah pada kecepatan tinggi. Filter Butterworth menghasilkan performa terbaik dengan RMSE terendah sebesar 0.26 pada kecepatan 3 km/jam dan 0.88 pada 1 km/jam. RMSE tertinggi tercatat pada filter Elliptic sebesar 29.29 pada kecepatan 5 km/jam. Penerapan low-pass filter, khususnya Butterworth, terbukti efektif dalam meningkatkan akurasi pengukuran pada sistem WIM di kecepatan rendah hingga menengah.
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Over Dimension Over Load (ODOL) vehicles are one of the main causes of road damage in Indonesia. A vehicle load measurement system that can work dynamically is needed to support more effective monitoring. The objective of this study is to design a laboratory-scale Weigh-In-Motion (WIM) system capable of performing static and dynamic vehicle load measurements, as well as evaluating the effectiveness of applying a low-pass digital filter to improve measurement accuracy. The system is designed using eight load cell sensors arranged in two parallel paths. Tests were conducted with two- and three-axle vehicles at speeds of 1–5 km/h. Three types of digital filters were used: Butterworth, Chebyshev Type I, and Elliptic. System performance was evaluated using the Root Mean Square Error (RMSE) metric. Test results showed that system accuracy decreased as vehicle speed increased. Measured vehicle weights tended to be lower at higher speeds. The Butterworth filter produced the best performance with the lowest RMSE of 0.26 at a speed of 3 km/h and 0.88 at 1 km/h. The highest RMSE was recorded for the Elliptic filter at 29.29 at a speed of 5 km/h. The application of low-pass filters, particularly Butterworth, proved effective in improving measurement accuracy in WIM systems at low to medium speeds.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Over Dimension Over Load (ODOL), load cell, low-pass filter, noise, Weigh-In-Motion |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7872.F5 Filters (Electric) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Nizaar Roby Irawan |
| Date Deposited: | 06 Aug 2025 08:00 |
| Last Modified: | 06 Aug 2025 08:00 |
| URI: | http://repository.its.ac.id/id/eprint/127828 |
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