BibTex Citation Data :
@article{JPA29346, author = {Agus Sudarmanto and Joko Poernomo and Jatmiko Suseno and Ari Putranto and Muhammad Basit}, title = {A Real-Time Hooke's Law Experiment using IoT Mobile Application}, journal = {Journal of Physics and Its Applications}, volume = {8}, number = {1}, year = {2026}, keywords = {Prototype, Experiment on the Spring Constant, Blynk}, abstract = { Hooke's Law is one of the topics in physics that can be simplified for better understanding through practical methods. This research aims to design a Real-Time remote Hooke's Law experiment in laboratory with Blynk as IoT Mobile Application, allowing students to experiment more flexibly in terms of time and location. The research methodology is based on Research and Development (R&D), includin g hardware design, software design, testing and data collection, data analysis, and report writing. This study resulted in the development of a laboratory Hooke's Law experiment and a Blynk application as its controller. The apparatus was tested by conducting experiments with three different loads: 30 grams, 40 grams, and 50 grams. The experiments aimed to obtain the spring constant, k, which were then processed using Hooke's Law formula based determine spring elongation data, ∆x. The 30 gram load yielded an average ∆x of 0.059 meters with an accuracy of 99.98% and an average k value of 4.90 N/m with an accuracy of 98.75%. The 40 gram load yielded an average ∆x of 0.059 meters with an accuracy of 99.93% and an average k value of 5.32 N/m with an accuracy of 95.40%. The 50 gram load yielded an average ∆x of 0.089 meters with an accuracy of 99.94% and an average k value of 5.53 N/m with an accuracy of 96.39%. The overall accuracy of the apparatus was 99.95% for ∆x and 96.18% for the spring constant. The system can choose the mass, m with control the stepper motor via mobile application and the result of research can be monitored in smartphone display such as such as spring elongation, ∆x, and spring constant, k as well as streaming video for monitoring purposes. [1] Arsada, Bakhtiyar, and B. Suprianto, “Ultrasonic Sensor Application for Distance Position Detection in Space Using Arduino Uno” State Univ. of Surabaya, 6(2), 137-145, (2017). [2] K. A. Gamage, D. I. Wijesuriya, S. Y. Ekanayake, A. E. Rennie, C. G. Lambert, and N. Gunawardhana, \"Online delivery of teaching and laboratory practices: Continuity of university programmes during COVID-19 pandemic\" Educ. Sci., 10(10), 291, (2020). [3] H. S. Wattimena, A. Suhandi, and A. Setiawan, “Indonesian Physics Education Journal” Indones. Phys. Educ. J., 10(2), 128–139, (2014). [4] B. K. Prahani, E. Hariyono, H. V. Saphira, I. Zakhiyah, S. Eliezanatalie, and M. H. Ismail, \"Digitalization of Physics Laboratory Tools: Increase Undergraduate Students Learning Motivation and Problem-Solving Skills\" TEM J., 14(3), 2371–2380, (2025). [5] S. Madakam, R. Ramaswamy, and S. Tripathi, \"Internet of Things (IoT): A Literature\" J. Comput. Commun., 3, 164–173, (2015). [6] M. N. Ramadhani, \"Real Laboratory Praktikum Kefisien Muai Panjang Berbasis Internet of Things dan Aplikasi Android\" S1 Thesis, Universitas Islam Negeri Walisongo Semarang, (2021). [7] Z. Wan, Y. Song, and Z. Cao, \"Environment dynamic monitoring and remote control of greenhouse with ESP8266 NodeMCU\" in Proc. 2019 IEEE 3rd Inf. Technol., Netw., Electron. Autom. Control Conf. (ITNEC), 377–382, (2019). [8] D. C. Giancoli, Physics, Vol. 1, Jakarta: Erlangga, (2001). [9] N. Azman, Internet of Things dan Komputasi Edge: Pengenalan Hingga Keamanan, Jakarta: CV. Tampuniak Mustika Edukarya, (2020). [10] A. Kusumaningrum, A. Pujiastuti, and M. Zeny, \"Pemanfaatan Internet of Things pada Kendali Lampu\" Compiler, 6(1), 53–59, (2017). [11] T. Juwariyah, S. Prayitno, and A. Mardhiyya, \"Perancangan Sistem Deteksi Dini Pencegah Kebakaran Rumah Berbasis ESP8266 dan Blynk\" J. Transistor EI, 3(2), 120–126, (2018). [12] I. Setiawan and D. Sutarno, \"Pembuktian Eksperimental Pengaruh Jumlah Lilitan Pegas dan Diameter Pegas terhadap Konstanta Pegas\" in Conf. Proc. Sci., (2011). [13] P. F. Yudha and R. A. Sani, \"Implementasi sensor ultrasonik HC-SR04 sebagai sensor parkir mobil berbasis Arduino\" Einstein E-J., 5(3), 19–26, (2019). [14] G. N. Prakasa, \"Prototipe Kunci Pintu Menggunakan Motor Stepper Berbasis Arduino Mega 2560 Dengan Perintah Suara Pada Android\" S1 Thesis, Universitas Lampung, (2017). [15] Y. Efendi, \"Internet of Things (IoT) Light Control System Using Mobile-Based Raspberry Pi\" Sci. J. Comput. Sci., 4(1), 19–26, (2018). [16] C. Dziuban, C. R. Graham, P. D. Moskal, A. Norberg, and N. Sicilia, \"Blended learning: the new normal and emerging technologies\" Int. J. Educ. Technol. High. Educ., 15(1), 3, (2018). [17] C. Dziuban, C. R. Graham, P. D. Moskal, A. Norberg, and N. Sicilia, \"Blended learning: the new normal and emerging technologies\" Int. J. Educ. Technol. High. Educ., 15(1), 3, (2018). [18] M. R. Hidayat, S. Christiono, and S. S. Budi, “ Design of IoT-Based Home Security System with NodeMCU ESP8266 Using PIR HC-SR501 Sensor and Smoke Detector Sensor ” Kilat J., 7(2), 140–141, (2018). A. Cocco and S. C. Masin, \"The Law of Elasticity\" Psicologica, 31(3), 647–657, (2010). }, issn = {2622-5956}, pages = {66--71} url = {https://ejournal2.undip.ac.id/index.php/jpa/article/view/29346} }
Refworks Citation Data :
Hooke's Law is one of the topics in physics that can be simplified for better understanding through practical methods. This research aims to design a Real-Time remote Hooke's Law experiment in laboratory with Blynk as IoT Mobile Application, allowing students to experiment more flexibly in terms of time and location. The research methodology is based on Research and Development (R&D), including hardware design, software design, testing and data collection, data analysis, and report writing. This study resulted in the development of a laboratory Hooke's Law experiment and a Blynk application as its controller. The apparatus was tested by conducting experiments with three different loads: 30 grams, 40 grams, and 50 grams. The experiments aimed to obtain the spring constant, k, which were then processed using Hooke's Law formula based determine spring elongation data, ∆x. The 30 gram load yielded an average ∆x of 0.059 meters with an accuracy of 99.98% and an average k value of 4.90 N/m with an accuracy of 98.75%. The 40 gram load yielded an average ∆x of 0.059 meters with an accuracy of 99.93% and an average k value of 5.32 N/m with an accuracy of 95.40%. The 50 gram load yielded an average ∆x of 0.089 meters with an accuracy of 99.94% and an average k value of 5.53 N/m with an accuracy of 96.39%. The overall accuracy of the apparatus was 99.95% for ∆x and 96.18% for the spring constant. The system can choose the mass, m with control the stepper motor via mobile application and the result of research can be monitored in smartphone display such as such as spring elongation, ∆x, and spring constant, k as well as streaming video for monitoring purposes.
[1] Arsada, Bakhtiyar, and B. Suprianto, “Ultrasonic Sensor Application for Distance Position Detection in Space Using Arduino Uno” State Univ. of Surabaya, 6(2), 137-145, (2017).
[2] K. A. Gamage, D. I. Wijesuriya, S. Y. Ekanayake, A. E. Rennie, C. G. Lambert, and N. Gunawardhana, "Online delivery of teaching and laboratory practices: Continuity of university programmes during COVID-19 pandemic" Educ. Sci., 10(10), 291, (2020).
[3] H. S. Wattimena, A. Suhandi, and A. Setiawan, “Indonesian Physics Education Journal” Indones. Phys. Educ. J., 10(2), 128–139, (2014).
[4] B. K. Prahani, E. Hariyono, H. V. Saphira, I. Zakhiyah, S. Eliezanatalie, and M. H. Ismail, "Digitalization of Physics Laboratory Tools: Increase Undergraduate Students Learning Motivation and Problem-Solving Skills" TEM J., 14(3), 2371–2380, (2025).
[5] S. Madakam, R. Ramaswamy, and S. Tripathi, "Internet of Things (IoT): A Literature" J. Comput. Commun., 3, 164–173, (2015).
[6] M. N. Ramadhani, "Real Laboratory Praktikum Kefisien Muai Panjang Berbasis Internet of Things dan Aplikasi Android" S1 Thesis, Universitas Islam Negeri Walisongo Semarang, (2021).
[7] Z. Wan, Y. Song, and Z. Cao, "Environment dynamic monitoring and remote control of greenhouse with ESP8266 NodeMCU" in Proc. 2019 IEEE 3rd Inf. Technol., Netw., Electron. Autom. Control Conf. (ITNEC), 377–382, (2019).
[8] D. C. Giancoli, Physics, Vol. 1, Jakarta: Erlangga, (2001).
[9] N. Azman, Internet of Things dan Komputasi Edge: Pengenalan Hingga Keamanan, Jakarta: CV. Tampuniak Mustika Edukarya, (2020).
[10] A. Kusumaningrum, A. Pujiastuti, and M. Zeny, "Pemanfaatan Internet of Things pada Kendali Lampu" Compiler, 6(1), 53–59, (2017).
[11] T. Juwariyah, S. Prayitno, and A. Mardhiyya, "Perancangan Sistem Deteksi Dini Pencegah Kebakaran Rumah Berbasis ESP8266 dan Blynk" J. Transistor EI, 3(2), 120–126, (2018).
[12] I. Setiawan and D. Sutarno, "Pembuktian Eksperimental Pengaruh Jumlah Lilitan Pegas dan Diameter Pegas terhadap Konstanta Pegas" in Conf. Proc. Sci., (2011).
[13] P. F. Yudha and R. A. Sani, "Implementasi sensor ultrasonik HC-SR04 sebagai sensor parkir mobil berbasis Arduino" Einstein E-J., 5(3), 19–26, (2019).
[14] G. N. Prakasa, "Prototipe Kunci Pintu Menggunakan Motor Stepper Berbasis Arduino Mega 2560 Dengan Perintah Suara Pada Android" S1 Thesis, Universitas Lampung, (2017).
[15] Y. Efendi, "Internet of Things (IoT) Light Control System Using Mobile-Based Raspberry Pi" Sci. J. Comput. Sci., 4(1), 19–26, (2018).
[16] C. Dziuban, C. R. Graham, P. D. Moskal, A. Norberg, and N. Sicilia, "Blended learning: the new normal and emerging technologies" Int. J. Educ. Technol. High. Educ., 15(1), 3, (2018).
[17] C. Dziuban, C. R. Graham, P. D. Moskal, A. Norberg, and N. Sicilia, "Blended learning: the new normal and emerging technologies" Int. J. Educ. Technol. High. Educ., 15(1), 3, (2018).
[18] M. R. Hidayat, S. Christiono, and S. S. Budi, “Design of IoT-Based Home Security System with NodeMCU ESP8266 Using PIR HC-SR501 Sensor and Smoke Detector Sensor” Kilat J., 7(2), 140–141, (2018).
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