STUDI KASUS PENGEMBANGAN DAN PEMANFAATAN ARTIFICIAL INTELIGENT SEBAGAI PENUNJANG KEGIATAN MASYARAKAT
Keywords:
artificial intelegent, multidiciplianary, human, intelegentAbstract
Artificial Intelligence (AI) is a multidisciplinary field aimed at automating activities that currently require human intelligence. In this context, AI and humans can collaborate to make decisions that are less influenced by personal values. One of the recent successes in AI development is a system that can automatically adjust hardware according to specific user needs. This research employs an observational methodology and descriptive qualitative study, focusing on identifying the features or characteristics of the events examined during the data collection process, using a methodical literature search approach on relevant journal databases. AI also has significant potential in various fields, including education, healthcare, economics, and agriculture. In education, AI can contribute to shaping students' morals and character, as well as enhancing their mental acuity by providing new insights. In the healthcare sector, AI can be utilized for faster and more accurate data analysis and diagnosis. Furthermore, in agriculture, AI technology can be applied in the development of "smart gardens" to improve efficiency and agricultural yields. Thus, AI not only functions as a tool but also serves as a valuable partner in creating innovative solutions across various sectors.
References
Bullock, J. B. (2019). Artificial Intelligence, Discretion, and Bureaucracy. American Review of Public Administration, 49 (7), 751–761. https://doi.org/10.1177/0275074019856123
Chakraborty, N., Mukherjee, A., & Bhadra, M. (2022). Smart Gardening: A Solutionto Your Gardening Issues. EAI Endorsed Transactions on Internet of Things, 8 (30), e3. https://doi.org/10.4108/eetiot.v8i30.384
Darmawan, I. W. B., Kumara, I. N. S., & Khrisne, D. C. (2021). Smart Garden Sebagai Implementasi Sistem Kontrol Dan Monitoring Tanaman Berbasis Teknologi Cerdas. Jurnal SPEKTRUM Vol, 8 (4), 161–170. https://ojs.unud.ac.id/index.php/spektrum/article/download/85405/44007
Diantika, A. S., & Firmanto, Y. (2019). Implementasi Machine Learning Pada Aplikasi Penjualan Produk Digital (Studi Pada Grabkios). 53(9), 1689–1699.
Fauzan, I. (2020). Artificial Intelligence (Ai) Pada Proses Pengawasan Dan Pengendalian Kepegawaian –Sebuah Eksplorasi Konsep Setelah Masa Pandemi Berakhir. Civil Service, 14 (1), 31–42.
Habimana, O., Li, Y., Li, R., Gu, X., & Yu, G. (2020). Sentiment analysis using deep learning approaches: an overview. Science China Information Sciences, 63 (1), 1–36. https://doi.org/10.1007/s11432-018-9941-6
Joko Prasetyo, S. Y., Dwi Hartomo, K., Paseleng, M. C., Widiyanto Candra, D., & Simanjuntak, B. H. (2019). The machine learning to detect drought risk in central java using landsat 8 OLI remote sensing images. Proceedings -2019 5th International Conference on Science and Technology, ICST 2019. https://doi.org/10.1109/ICST47872.2019.9166197
Ku, H. H., Liu, C. H., & Wang, W. C. (2022). Design of an Artificial Intelligence of Things Based Indoor Planting Model for Mentha Spicata. Processes, 10 (1). https://doi.org/10.3390/pr10010116
Luh Putu Ary Sri Tjahyanti, & Dkk. (2022). Peran Artificial Intelligence (Ai) Untuk Mendukung Pembelajaran Di Masa Pandemi Covid-19. Jurnal Komputerdan Teknologi Sains (KOMTEKS), 1 (1), 1–7.
Manikandan, P., Selija, K., Vasugi, V., Prem Kumar, V., Natrayan, L., Helen Santhi, M., & Senthil Kumaran, G. (2022). An Artificial Neural Network Based Prediction of Mechanical and Durability Characteristics of Sustainable Geopolymer Composite. Advances in Civil Engineering, 2022. https://doi.org/10.1155/2022/9343330
Mulianingsih, F., Anwar, K., Shintasiwi, F. A., & Rahma, A. J. (2020). Artificial Intellegence Dengan Pembentukan Nilai Dan Karakter Di Bidang Pendidikan. IJTIMAIYA: Journal of Social Science Teaching, 4 (2), 148. https://doi.org/10.21043/ji.v4i2.8625
Munsarif, M., Raharjo, S., & Sam’an, M. (2022). Pelatihan Kecerdasan Artifisial (KA) kepada Guru SD di Kabupaten Blora Jawa Tengah untuk Peningkatan Kemampuan di Bidang Digital. Jurnal Surya Masyarakat, 5 (1), 101. https://doi.org/10.26714/jsm.5.1.2022.101-105
Pakpahan, R. (2021). Analisa Pengaruh Implementasi Artificial. Journal of Information System, Informatics and Computing, 5 (2), 506–513. https://doi.org/10.52362/jisicom.v5i2.616
Priowirjanto, E. S. (2022). Urgensi Pengaturan Mengenai Artificial Intelligence Pada Sektor Bisnis Daring Dalam Masa Pandemi Covid-19 Di Indonesia. Jurnal Bina Mulia Hukum, 6 (2), 254–272. https://doi.org/10.23920/jbmh.v6i2.355
Rahayu, D., Mukrodin, M., & Hariyono, R. (2020). Penerapan Artificial Intelligence Dalam Aplikasi Chatbot Sebagai Helpdesk Objek Wisata Dengan Permodelan Simple Reflex Agent (Studi Kasus : Desa Karangbenda). Smart Comp :Jurnalnya Orang Pintar Komputer, 9 (1), 7–21. https://doi.org/10.30591/smartcomp.v9i1.1813
Riza, H., Nugroho, A. S., & Gunarso. (2020). Kaji Terap Kecerdasan Buatan di Badan Pengkajian dan Penerapan Teknologi. Jurnal Sistem Cerdas, 3 (1), 1–24. https://doi.org/10.37396/jsc.v3i1.60
Roy, S., Singh, A., & Choudhary, C. (2021). Artificial Intelligence in Healthcare. In Lecture Notesin Networks and Systems (Vol. 190, Issue June). https://doi.org/10.1007/978-981-16-0882-7_24
Shorten, C., & Khoshgoftaar, T. M. (2019). A survey on Image Data Augmentation for Deep Learning. Journal of Big Data, 6 (1). https://doi.org/10.1186/s40537-019-0197-0
Sobron, M., & Lubis. (2021). Implementasi Artificial Intelligence Pada System Manufaktur Terpadu. Seminar Nasional Teknik (SEMNASTEK) UISU, 4(1),1–7. https://jurnal.uisu.ac.id/index.php/semnastek/article/view/4134.
