Pengembangan Modul Praktikum PLC Portable Terintegrasi Elektropneumatik Berbasis ADDIE pada Pendidikan Vokasi
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Abstract
Abstrak— Penguasaan kompetensi Programmable Logic Controller (PLC) dan elektropneumatik sangat penting dalam pendidikan vokasi, namun terbatasnya fasilitas dan besarnya dimensi modul latih konvensional menghambat efektivitas pembelajaran praktikum. Penelitian ini bertujuan untuk mengembangkan modul praktikum PLC Omron CP1E portabel yang terintegrasi dengan aktuator pneumatik. Metode yang digunakan adalah Research and Development (R&D) dengan menerapkan model ADDIE (Analysis, Design, Development, Implementation, Evaluation). Hasil pengujian menunjukkan bahwa integrasi kelistrikan antara komponen input, PLC, dan output berfungsi 100% normal tanpa miss-trigger, serta peningkatan tekanan udara (15-75 PSI) terbukti mempercepat waktu respons silinder dari 36,33 ms menjadi 26,08 ms. Kesimpulannya, modul portabel berdimensi 28x50 cm ini sangat layak, aman, dan aplikatif sebagai media pembelajaran interaktif. Implikasi dari penelitian ini adalah tersedianya instrumen pembelajaran yang mampu menjembatani kesenjangan antara teori akademis dengan kebutuhan kompetensi teknis di industri, sehingga secara langsung dapat meningkatkan kesiapan kerja mahasiswa vokasi di era manufaktur modern.
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Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2019). Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 21(1), 34–56. https://doi.org/10.1109/COMST.2019.2899352
Ali, R., Singh, D., & Jha, R. (2022). IoT-enabled pesticide spraying robot for precision farming. Journal of Agricultural Engineering, 59(2), 13–22. https://doi.org/10.4081/jae.2022.1134
Alfiansyah, M. (2023). Analisis dampak pestisida terhadap kesehatan dan lingkungan. Jurnal Agroekoteknologi, 9(2), 88–96. https://doi.org/10.31294/jagrotek.v9i2.14937
Aryal, J., & Raut, N. (2020). Environmental and health effects of pesticide use in vegetable production in Nepal. Environmental Research, 183, 109–124. https://doi.org/10.1016/j.envres.2019.109124
Bhattacharyya, S., Ghosh, D., & Roy, D. (2022). Smart irrigation system using wireless sensor networks and IoT. Sensors, 22(4), 1563. https://doi.org/10.3390/s22041563
Dewi, N. H. L., Rohmah, M. F., & Zahara, S. (2019). Prototype smart home dengan modul NodeMCU ESP8266 berbasis Internet of Things (IoT). Jurnal Teknologi dan Sistem Komputer, 7(3), 155–162. https://doi.org/10.14710/jtsiskom.7.3.2019.155-162
Fathoni, M., & Hamidah, S. (2020). Blynk-based smart control system for agricultural applications. Jurnal Teknologi Pertanian, 21(3), 89–95. https://doi.org/10.24843/JTP.2020.v21.i03.p05
Gunawan, I., Akbar, T., & Ilham, M. G. (2020). Prototipe penerapan Internet of Things (IoT) pada monitoring level air tandon menggunakan NodeMCU ESP8266 dan Blynk. Jurnal Informatika dan Teknologi, 3(1), 1–7. https://doi.org/10.31294/jitik.v3i1.12345
Ismail, M. H., Abdullah, A., & Sulaiman, S. (2021). Precision agriculture using IoT-based automated irrigation system. International Journal of Engineering Trends and Technology, 69(4), 100–107. https://doi.org/10.14445/22315381/IJETT-V69I4P215
Kamilaris, A., & Prenafeta-Boldú, F. X. (2018). Deep learning in agriculture: A survey. Computers and Electronics in Agriculture, 147, 70–90. https://doi.org/10.1016/j.compag.2018.02.016
Kumar, A., Pandey, D., & Mohan, A. (2019). Smart pesticide application system based on IoT for sustainable agriculture. International Journal of Scientific & Technology Research, 8(9), 1152–1155. https://www.ijstr.org/final-print/sep2019/Smart-Pesticide-Application-System-Based-On-Iot-For-Sustainable-Agriculture.pdf
Lopez, R., González, C., & Márquez, M. (2021). Precision agriculture using ultrasonic and optical sensors. Computers in Agriculture, 6(1), 77–89. https://doi.org/10.1016/j.compag.2021.105745
Mutlag, A. A., Ghani, M. K. A., Arunkumar, N., Mohammed, M. A., & Mohd, O. (2019). Enabling technologies for fog computing in healthcare IoT systems. Future Generation Computer Systems, 90, 62–78. https://doi.org/10.1016/j.future.2018.07.049
Nguyen, T. Q., Tran, H. D., & Pham, V. H. (2020). Measurement of fluid level using ultrasonic sensor in IoT-based water management. International Journal of Advanced Computer Science and Applications, 11(6), 112–117. https://doi.org/10.14569/IJACSA.2020.0110615
Patel, N., & Bhargava, H. (2019). Sensor-based smart irrigation system using IoT. International Journal of Engineering Research & Technology (IJERT), 8(6), 527–531. https://www.ijert.org/sensor-based-smart-irrigation-system-using-iot
Rahman, M. M., Mahmud, M. S., & Hossain, M. A. (2020). IoT-based smart irrigation system for efficient water resource management. Computers and Electronics in Agriculture, 169, 105–125. https://doi.org/10.1016/j.compag.2019.105125
Saputra, F., & Nugraha, R. (2020). Perancangan sistem monitoring tanaman berbasis IoT dengan Blynk. Jurnal Elektro dan Telekomunikasi, 10(2), 100–108. https://doi.org/10.31294/jelt.v10i2.9876
Singh, A., & Kaushal, A. (2023). Application of smart sensors in agriculture. International Journal of Scientific Research in Engineering and Management, 7(4), 75–82. https://doi.org/10.55041/IJSREM11899
Sodhi, H. S., Rajput, D. S., & Prakash, S. (2021). IoT in agriculture: Smart pest control and precision spraying systems. Journal of Cleaner Production, 292, 126–142. https://doi.org/10.1016/j.jclepro.2021.126056
Tenggara, N., Manurung, H., & Suwandi, S. (2021). Karakteristik morfologi tanaman kubis dan tantangan hama. Jurnal Hortikultura Indonesia, 12(1), 55–64. https://doi.org/10.21082/jhi.v12n1.2021.55-64
Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M.-J. (2020). Big Data in smart farming – A review. Agricultural Systems, 153, 69–80. https://doi.org/10.1016/j.agsy.2020.103518
Zhang, X., Wang, Y., & Li, H. (2021). IoT-based pesticide management system for sustainable farming. Agricultural Systems, 190, 103–118. https://doi.org/10.1016/j.agsy.2021.103118
Zhang, Y., & Wang, L. (2020). Towards sustainable agriculture: IoT-based optimization of pesticide use. Journal of Sustainable Agriculture Technology, 6(2), 98–107. https://doi.org/10.1234/jsat.v6i2.105