Memahami Spam Terhadap Digitalisasi Masyarakat Desa Perkebunan Sei Balai Kecamatan Sei Balai Kabupaten Batubara

Edwin Syafran Panggabean; Chairul Indra Angkat; Dewi Sartika; Didi Riswan; Andysah Putera Utama; Muhammad Iqbal

doi:10.70340/japamas.v2i2.90

Penulis

Edwin Syafran Panggabean Universitas Pembangunan Pancabudi
Chairul Indra Angkat Universitas Pembangunan Pancabudi
Dewi Sartika Universitas Pembangunan Pancabudi
Didi Riswan Universitas Pembangunan Pancabudi
Andysah Putera Utama Universitas Pembangunan Pancabudi
Muhammad Iqbal Universitas Pembangunan Pancabudi

DOI:

https://doi.org/10.70340/japamas.v2i2.90

Kata Kunci:

Socialization of learning, spam, and digitalization

Abstrak

This community service aims to increase public understanding about spam messages regarding digitalization among the people of Batubara Regency, Sumatra Utara. This community service is carried out with a gradual socialization approach to the community of Perkebunan Sei Balai Village, Sei Balai District, Batubara Regency. The number of people involved in this community service program is 15 people, consisting of 7 men and 8 women, all of whom are housewives. The results of this community service found that the efforts made to increase public understanding of spam regarding digitalization have increased, this is proven by the results of discussions and good responses from the community in response to the community service program carried out. Apart from that, the community hopes that socialization will be carried out gradually and continuously to strengthen public understanding. This community service is quite effective and is recommended to be developed by combing through the most important areas considering that there is a phenomenon that the public's understanding of spam regarding digitalization is very low.

Unduhan

Data unduhan belum tersedia.

Referensi

Alshahrani, A. (2021). Intelligent Security Schema for SMS Spam Message Based on Machine Learning Algorithms. International Journal of Interactive Mobile Technologies, 15(16), 52–62. https://doi.org/10.3991/ijim.v15i16.24197

Chaturvedi, S. A., & Purohit, L. (2022). Spam Message Detection: A Review. International Journal of Computing and Digital Systems, 12(1), 439–451. https://doi.org/10.12785/ijcds/120135

Choudhary, N., & Jain, A. K. (2017). Towards filtering of SMS spam messages using machine learning based technique. Communications in Computer and Information Science, 712, 18–30. https://doi.org/10.1007/978-981-10-5780-9_2/COVER

Cormack, G. V., María, J., Sánz, E. P., & Hidalgo, G. (2007). Spam filtering for short messages. International Conference on Information and Knowledge Management, Proceedings, 313–319. https://doi.org/10.1145/1321440.1321486

Rajdev, M., & Lee, K. (2016). Fake and spam messages: Detecting misinformation during natural disasters on social media. Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015, 1, 17–20. https://doi.org/10.1109/WI-IAT.2015.102

Zein, A. E., Soesanto, E., Firyal, A., & Putri, V. A. (2023). Cybercrime dalam Perspektif Psikologi : Menganalisis Kesehatan Mental pada Korban. IJM : Indonesian Journal of Multidisciplinary, 1, 2016–2025.