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Systematic literature review: risiko privasi dan keamanan data pribadi dalam penggunaan artificial intelligence (AI) Ardi, Mohamad; Bintari, Evi Dianti
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 9 No 1 (2024): JII Volume 9, Number 1, Januari 2024
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37159/jii.v9i1.64

Abstract

The advancement of sophisticated technology is followed by the development of an increasingly modern era. Various kinds of technology have been created, one of which is Artificial Intelligence (AI) which has helped human life in carrying out activities in the fields of telecommunications, transportation, health, and even defense and security. AI requires access to personal data which is later processed and analyzed by the technology. Among the data collected, there is sensitive data, namely personal data that is vulnerable to being tampered with, stolen, and manipulated. The purpose of this research is to know and understand the various privacy and security risks of personal data in the use of AI that often occur along with solutions to prevent them. This research applied the Systematic Literature Review (SLR) method. Based on the SLR results, researchers found 200 Scopus journal articles in the search using Publish or Perish 8 and the help of other applications such as Zotero, Mendeley, VOSviewer, and Microsoft Excel which were then filtered into 59 selected articles to be analyzed descriptively. The results showed that AI easily obtained personal data from users of the technology. Understanding the occurrence of data collection by AI due to the transmission of data by individuals through various platforms is the most important element in ensuring personal data security. The conclusion of this research is the need for a holistic understanding in ensuring personal data security. Cooperation between technology companies, society and the government is needed to ensure access to personal data taken by AI is not misused and certainty in personal data security.
MENDESAIN IDENTITAS DIGITAL: CARA KREATIF MEMBUAT EMAIL PROFESIONAL DAN CURRICULUM VITAE YANG MEMIKAT Ardi, Mohamad
Jurnal Gembira: Pengabdian Kepada Masyarakat Vol 3 No 04 (2025): AGUSTUS 2025
Publisher : Media Inovasi Pendidikan dan Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Permasalahan rendahnya daya saing dalam dunia kerja kerap kali disebabkan oleh penggunaan alamat email yang tidak profesional serta Curriculum Vitae (CV) yang kurang menarik perhatian. Pengabdian ini bertujuan untuk meningkatkan pemahaman masyarakat tentang pentingnya identitas digital profesional, khususnya dalam pembuatan email dan CV yang menarik. Metode yang digunakan meliputi pelatihan interaktif, pendampingan individu, dan praktik langsung. Peserta berasal dari kalangan mahasiswa baru STMIK PPKIA Tarakanita Rahmawati. Hasil kegiatan menunjukkan peningkatan signifikan dalam kemampuan peserta membuat email profesional (85%) dan CV kreatif (90%) yang sesuai dengan standar industri. Kegiatan ini juga mendorong peserta untuk memanfaatkan platform digital seperti Google dan Novoresume.
Implementasi Metode Market Basket Analysis Untuk Menentukan Menu Paket Penjualan Di Bius Café Susilayani, Asrini; Putri, Eviana Tjatur; Hartono, Lies; Ardi, Mohamad
Journal of Big Data Analytic and Artificial Intelligence Vol 7 No 2 (2024): JBIDAI Desember 2024
Publisher : STMIK PPKIA Tarakanita Rahmawati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71302/jbidai.v7i2.63

Abstract

A café in Tarakan City, Bius Café, is looking for sales strategies due to increasing business competition. One promotional step that a restaurant industry can take is creating package menus that are more affordable than buying items individually, making consumers happier with such menus. Bius Café, a café with a considerable number of patrons, intends to create package menus. These packages will be a combination of food and drink items from the café, taking into account how often these combinations are chosen by customers. The Apriori Algorithm is a data mining algorithm for extracting association rules. It is a type of association rule in data mining, often referred to as affinity analysis or market basket analysis. Based on the analysis results, using the Apriori algorithm to determine sales patterns shows that to form rules, the process starts with the formation of combinations from transaction analysis of 1-itemset, 2-itemset, and 3-itemset combinations that meet the support and confidence values in forming these combinations. Several transactions are selected according to the minimum support and confidence requirements, forming rules that are then ranked with the highest confidence value of 72%, which includes "Mie Goreng" and "Bius Café". Thus, the business owner can create promotional package menus by combining these two items.