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PERAN SOSIALISASI DALAM MENCEGAH KEJAHATAN DIGITAL MASYARAKAT MODERN Chirsna Nobert; Fajar Rizki Adhadi; Heru Narmuji; Ilham Saputra; Muhammad Ababil; Muhammad Gilang Sulaiman; Natio M.P; Rafly Dipoe Avianto; Rizky Putra Maulana; Sandi Nawawi
Abdi Jurnal Publikasi Vol. 3 No. 2 (2024): November
Publisher : Abdi Jurnal Publikasi

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Abstract

Digital crime, or cybercrime, is an increasingly prevalent threat in today’s digital era. This type of crime not only poses a risk to individuals but also damages the reputation of organizations and even nations. In this context, socialization plays a crucial role in raising public awareness about the dangers of digital crime and methods for prevention. This study aims to analyze how effective socialization can reduce the risks of digital crime within modern society. Through various educational approaches, such as seminars, digital campaigns, and the use of social media, the public is expected to recognize the signs of digital crime and protect themselves from these threats. The findings of this research indicate that the level of public understanding of digital crime increases with the intensity of socialization efforts. Therefore, continuous socialization involving various elements of society is key to preventing digital crime.
Implementasi Sistem GUI Dalam Mendukung Keputusan Pemilihan Motor Terbaik Dengan Menghitung Metode SAW, WP, dan TOPSIS Chrisna Nobert; Fajar Rizki Adhadi; Ilham Saputra; Muhammad Gilang Sulaiman; Natio M.P.
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 2 No. 4 (2025): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

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Abstract

Perkembangan industri sepeda motor yang semakin beragam menimbulkan kebutuhan bagi konsumen untuk mendapatkan sistem yang dapat membantu dalam pengambilan keputusan pemilihan motor terbaik sesuai kebutuhan mereka. Penelitian ini mengembangkan Sistem Pendukung Keputusan (SPK) berbasis Graphical User Interface (GUI) yang mengintegrasikan tiga metode Multi-Attribute Decision Making (MADM), yaitu Simple Additive Weighting (SAW), Weighted Product (WP), dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Sistem ini dirancang agar pengguna dapat dengan mudah memasukkan bobot kriteria, memproses perhitungan, dan memperoleh hasil perbandingan yang divisualisasikan dalam berbagai format seperti tabel, grafik batang, dan diagram radar. Dengan demikian, sistem ini diharapkan dapat memberikan rekomendasi pemilihan motor baru yang akurat, cepat, dan mudah dipahami oleh pengguna.