{"@context":"http://schema.org","@type":"Dataset","@id":"https://doi.org/10.34820/FK2/HZRCJI","identifier":"https://doi.org/10.34820/FK2/HZRCJI","name":"Measurement result of load cell and ultrasonic sensors","creator":[{"name":"GUNAWAN, TEDI","affiliation":"Fakultas Imu Terapan, Applied Information Systems"},{"name":"HERNAWATI,ELIS","affiliation":"Fakultas Imu Terapan, Applied Information Systems"},{"name":"RIMA ADITYA,BAYU","affiliation":"Fakultas Imu Terapan, Applied Information Systems"}],"author":[{"name":"GUNAWAN, TEDI","affiliation":"Fakultas Imu Terapan, Applied Information Systems"},{"name":"HERNAWATI,ELIS","affiliation":"Fakultas Imu Terapan, Applied Information Systems"},{"name":"RIMA ADITYA,BAYU","affiliation":"Fakultas Imu Terapan, Applied Information Systems"}],"datePublished":"2022-03-22","dateModified":"2022-03-22","version":"1","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)"],"keywords":["Computer and Information Science","load cell sensor,ultrasonic sensor"],"citation":[{"@type":"CreativeWork","text":"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","@id":"https://thescipub.com/abstract/10.3844/jcssp.2021.1085.1092","identifier":"https://thescipub.com/abstract/10.3844/jcssp.2021.1085.1092"}],"license":{"@type":"Dataset","text":"CC0","url":"https://creativecommons.org/publicdomain/zero/1.0/"},"includedInDataCatalog":{"@type":"DataCatalog","name":"Telkom University Dataverse","url":"https://dataverse.telkomuniversity.ac.id"},"publisher":{"@type":"Organization","name":"Telkom University Dataverse"},"provider":{"@type":"Organization","name":"Telkom University Dataverse"},"distribution":[{"@type":"DataDownload","name":"Tabel Pengukuran(3).xlsx","fileFormat":"text/tab-separated-values","contentSize":2335,"description":"The measurement result of load cell and ultrasonic sensors","@id":"https://doi.org/10.34820/FK2/HZRCJI/X1GH5B","identifier":"https://doi.org/10.34820/FK2/HZRCJI/X1GH5B","contentUrl":"https://dataverse.telkomuniversity.ac.id/api/access/datafile/4436"}]}