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All Journal Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Pengabdian Bersama Masyarakat Indonesia Aksi Kita: Jurnal Pengabdian Kepada Masyarakat
Ade Sarah Huzaifah
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Peningkatan Kompetensi Mahasiswa di Bidang Network Computer dan Cyber Security melalui Program Studi Independen Merdeka Belajar Kampus Merdeka Ade Sarah Huzaifah
Jurnal Pengabdian Bersama Masyarakat Indonesia Vol. 2 No. 3 (2024): Juli : Jurnal Pengabdian Bersama Masyarakat Indonesia
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jpbmi.v2i3.475

Abstract

Proficiency in computer networking and cybersecurity has become very important, especially with the increasing need for human resources in this sector. However, the availability of experts remains scarce due to the complexity of technology, demands for extensive knowledge and skills, and limitations in education and training. The Merdeka Belajar Kampus Merdeka (MBKM) programme initiated by the Ministry of Education, Culture, Research and Technology of the Republic of Indonesia offers a solution through independent study to improve student competencies. This programme aims to provide learning flexibility, encourage independent learning, and improve student’s technical skills and soft skills. This article discusses efforts to improve interdisciplinary student competencies in computer networking and cybersecurity through the MBKM independent study programme, especially through Magang Studi Independen Bersertifikat (MSIB). As a Programme Assistance Lecturer (DPP), the author used a qualitative approach with a case study method involving students from various study programmes. The results of the activities show that the MSIB programme has a positive impact on improving student competencies across disciplines, both in technical skills such as network configuration and security analysis, as well as in the development of soft skills such as time management, communication, critical thinking, and teamwork.
Topic Modelling on Beauty Product Reviews Using Latent Dirichlet Allocation Ade Sarah Huzaifah; Rossy Nurhasanah; R. A. Fattah Adriansyah
Jurnal Ilmu Komputer dan Agri-Informatika Vol 12 No 1 (2025)
Publisher : Departemen Ilmu Komputer, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jika.12.1.119-131

Abstract

Today, beauty products are essential especially for women. Because they're so popular, review sites now offer information on products. These internet reviews include views on trends, customer satisfaction and product performance. It's hard to draw conclusions from so many reviews. Large amounts of text have been analyzed using topic modelling techniques like Latent Dirichlet Allocation (LDA). LDA is a probabilistic model that explains data and why some sections are similar. LDA is a useful tool for text mining and information retrieval. Recent studies show that topic modelling for product reviews in the cosmetics business can provide useful insights into consumer perceptions and product qualities. The purpose of this study is to examine themes in customer evaluations of ten different brands of face wash products from the female daily website. Data collection, preprocessing, topic modeling using LDA, visualization, and interpretation of topics are all steps in the research procedure. The findings show that Topic 2, which captures user conversations about product benefits that users prefer, is the most frequently discussed topic by users when evaluating a product (48.5%). This is followed by Topic 1, which captures user conversations about the effects of products on acne-prone skin (38%). Finally, Topic 3 captures user conversations about products based on natural ingredients (13.5%). These topics provide valuable insights for both manufacturers, who can improve product offerings, and consumers, helping them make informed purchasing decisions.
Enhancing Understanding of AI-Based Digital Business Through Interactive Seminars for Information Technology Students Ade Sarah Huzaifah; Rossy Nurhasanah; Fanindia Purnamasari; Dedy Arisandi; Ivan Jaya
Aksi Kita: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 4 (2025): JULI-AGUSTUS
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/vk045k91

Abstract

The development of artificial intelligence (AI) technology has become a major driver in the transformation of the digital business world, including in the startup sector. However, a deep understanding of AI integration into business models remains a challenge for students, particularly in the field of Information Technology (IT). This community service activity aims to enhance the knowledge and skills of IT students in designing strategic, ethical, and sustainable AI-based digital businesses. The implementation method involves a one-day educational seminar, including presentations, interactive discussions, simulations of Business Model Canvas (BMC) development, and evaluation through questionnaires. Evaluation results showed significant improvements: understanding of the BMC increased from 41% to 89%, understanding of AI startup concepts from 54% to 92%, ability to draft a business plan from 16% to 78%, and motivation for technology entrepreneurship from 68% to 90%. These findings indicate that an applied and participatory approach in seminars is effective in developing digital entrepreneurship capacity among IT students.
Co-Authors Dedy Arisandi Fanindia Purnamasari Ivan Jaya R. A. Fattah Adriansyah Rossy Nurhasanah