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Measurement result of load cell and ultrasonic sensors
Version 1.0
GUNAWAN, TEDI; HERNAWATI,ELIS; RIMA ADITYA,BAYU, 2022, "Measurement result of load cell and ultrasonic sensors", https://doi.org/10.34820/FK2/HZRCJI, Telkom University Dataverse, V1, UNF:6:7XSa2groDXBVtEYPw8O9ug== [fileUNF]
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Description
This dataset comes from the measurement results of plastic type waste in sensor-based smart trash cans. The sensor used is a load cell sensor to measure the weight of the waste and an ultrasonic sensor to measure the height of the waste. to measurements using a height sensor resulting in an average gap error of 0.08 cm. While the results of the comparison of measuring waste weight using a scale in kg compared to measuring waste weight using a weight sensor resulted in an average gap error of 0.03 kg. (2022-03-22) (2022-03-22)
Subject Computer and Information Science
Keyword load cell sensor,ultrasonic sensor
Related Publication Anh Khoa, T., Phuc, C. H., Lam, P. D., Nhu, L. M. B., Trong, N. M., Phuong, N. T. H., ... & Duc, D. N. M. (2020). Waste management system using IoT-based machine learning in university. Wireless Communications and Mobile Computing, 2020. doi.org/10.1155/2020/6138637 Arief, M. F., & Gaol, F. L. (2017, June). Developing and Evaluating Prototype of Waste Volume Monitoring Using Internet of Things. In IOP Conference Series: Materials Science and Engineering (Vol. 215, No. 1, p. 012038). IOP Publishing. doi.org/10.1088/1757- 899X/215/1/012038 Doraipandian, M. (2020). IoT Framework for Smart Irrigation using Machine Learning Technique. doi.org/10.3844/jcssp.2020.355.363 Harith, M. Z. M. Z., Hossain, M. A., Ahmedy, I., Idris, M. Y. I., Soon, T. K., & Noor, R. M. (2020). Prototype Development of IoT Based Smart Waste Management System for Smart City. IOP Conference Series: Materials Science and Engineering, 884(1). doi.org/10.1088/1757-899X/884/1/012051 Hassan, H., Saad, F., Fazlin, N., & Aziz, A. (2018). Waste Monitoring System based on Internet-of Thing (IoT). Proceedings - 2018 IEEE Conference on Systems, Process and Control, ICSPC 2018, December, 187-192. doi.org/10.1109/SPC.2018.8704142 Kadry, S., Ramasamy, L. K., Mukhopadhyay, S. C., Islam, T., & Haigh, P. A. (2017). Garbage monitoring system using IoT Garbage monitoring system using IoT. doi.org/10.1088/1757-899X/263/4/042027 Mahajan, P. S. A., Kokane, A., Shewale, A., Shinde, M., & Ingale, S. (2017). Smart Waste Management System using IoT. International Journal of Advanced Engineering Research and Science, 4(4), 93-95. doi.org/10.22161/ijaers.4.4.12 Marliani, N. (2015). Pemanfaatan Limbah Rumah Tangga (Sampah Anorganik) Sebagai Bentuk Implementasi dari Pendidikan Lingkungan Hidup. Formatif: Jurnal Ilmiah Pendidikan MIPA, 4(2), 124-132. doi.org/10.30998/formatif.v4i2.146 Mustafa, M. R., & Ku Azir, K.N.F (2017). Smart Bin: Internet-of-Things Garbage Monitoring System. 01030, 1-4. doi.org/10.1051/matecconf/201714001030 Navghane, S. S., Killedar, M. S., & Rohokale, V. M. (2016). IoT Based Smart Garbage and Waste Collection Bin. International Journal of Advanced Research in Electronics and Communication Engineering, 5(5), 1576-1578. http://ijarece.org/wpcontent/uploads/2016/06/IJARECE-VOL-5-ISSUE- 5-1576-1578.pdf Saad, A. F., Ibrahim, M., Damanhuri, M., & Yusuf, N. I. (2019). Developing a Prototype for Sun Tracker System Based on IoT: Controlled by Mobile App and Online Database Monitoring. doi.org/10.3844/ajassp.2019.11.25 Sheng, T. J., Islam, M. S., Misran, N., Baharuddin, M. H., Arshad, H., Islam, M. R., Chowdhury, M. E. H., Rmili, H., & Islam, M. T. (2020). An Internet of Things Based Smart Waste Management System Using LoRa and Tensorflow Deep Learning Model. IEEE Access, 8, 148793-148811. doi.org/10.1109/ACCESS.2020.3016255 Wijaya, A. S., Zainuddin, Z., & Niswar, M. (2017). Design a smart waste bin for smart waste management. Proceedings of the 2017 5th International Conference on Instrumentation, Control, and Automation, ICA 2017, 62-66. doi.org/10.1109/ICA.2017.8068414 Ziouzios, D., & Dasygenis, M. (2019). A Smart Bin Implementation using LoRa. 2019 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), 1-4. doi.org/10.1109/SEEDA-CECNSM.2019.8908523 doi: ): 1085.1092 DOI: 10.3844/jcssp.2021.1085.1092 doi: DOI: 10.3844/jcssp.2021.1085.1092
Notes -
1 File
Tabel Pengukuran(3).xlsx
Tabular Data - 2.3 KB - Mar 22, 2022 - 79 Downloads
12 Variables, 42 Observations - UNF:6:7XSa2groDXBVtEYPw8O9ug==
The measurement result of load cell and ultrasonic sensors
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