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All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) AMMA : Jurnal Pengabdian Masyarakat
Suteja
STMIK IKMI Cirebon
Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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Pelatihan Analisis Bibliometrik Berbasis Vosviewer dan Publish or Perish Bagi Dosen Kopertip Indonesia Dadang Sudrajat; Bani Nurhakim; Suteja; Syaiful Imanudin
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 03 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

Abstract

Strengthening the research capacity of university lecturers is a crucial aspect of improving the quality of higher education in Indonesia. One relevant skill to support research development and scientific publication is the ability to conduct bibliometric analysis. This analysis is useful for mapping research trends, identifying scientific collaborations, and determining potential research topics through the study of references and citations. This Community Service Program (PKM) aims to provide training in bibliometric analysis using the software tools VOSviewer and Publish or Perish for lecturers affiliated with Kopertip Indonesia (Coordinator of Indonesian Private Universities). The training was conducted both online and offline, using a combination of theoretical and practical approaches. The materials covered included basic bibliometric concepts, methods for accessing scholarly publication data (e.g., from Google Scholar and Scopus), and hands on practice using Publish or Perish to extract bibliometric data and VOSviewer to visualize the analysis results in the form of term maps and author collaboration networks. The training was also complemented by case studies from various fields of science. Evaluation results indicated that the training improved participants’ understanding and skills in using both tools. Participating lecturers reported increased confidence in mapping research topics, selecting relevant journals, and planning more targeted publication strategies. This activity not only enhanced digital research competencies but also encouraged lecturers to be more productive in contributing to national and international scientific outputs. In the future, this type of training can be replicated across other higher education environments as part of efforts to strengthen a data-driven academic ecosystem.
Association Analysis of Printing and Photocopying Sales Data in Adzmi Art Shop Cirebon Uses the FP-Growth Algorithm Suteja; Rudi Kurniawan; Yudhistira Arie Wijaya
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.830

Abstract

In the digital era, transaction data analysis plays a crucial role in strategic decision-making, especially for SMEs such as Toko Adzmi Art in Cirebon Regency. This study aims to develop a sales data association model using the FP-Growth algorithm to identify product association patterns. Daily transaction data over a year were collected, processed through data cleaning, standardization, and transformation, and analyzed using RapidMiner software. Minimum support and confidence parameters were applied to evaluate the frequency and strength of product relationships. The results show that the combination of "Photocopy" and "Passport Photo" services has a confidence of 0.491 and a support of 0.061, with "Photocopy" as the most in-demand product (support 0.497). These findings open opportunities for bundling strategies and inventory optimization to enhance operational efficiency. This model provides an empirical foundation for SMEs to leverage data mining technology to improve competitiveness and customer satisfaction.
Co-Authors Bani Nurhakim Dadang Sudrajat Rudi Kurniawan Syaiful Imanudin Yudhistira Arie Wijaya