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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; Huzaifah, Ade Sarah; Rossy Nurhasanah; R. A. Fattah Adriansyah
Jurnal Ilmu Komputer dan Agri-Informatika Vol. 12 No. 1 (2025)
Publisher : Sekolah Sains Data, Matematika, dan Informatika. Institut Pertanian Bogor

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

Abstract

In contemporary society, beauty products have become essential, particularly for women. With their growing popularity, online review platforms now provide extensive information on product trends, customer satisfaction, and performance. However, the sheer volume of available reviews presents challenges in drawing meaningful conclusions. To address this, topic modeling techniques such as Latent Dirichlet Allocation (LDA) have been widely employed in text mining and information retrieval. LDA is a probabilistic model capable of uncovering latent structures within textual data and identifying similarities across documents. Recent studies suggest that topic modeling of product reviews in the cosmetics industry can yield valuable insights into consumer perceptions and product attributes. This study aims to identify thematic patterns in customer reviews of ten facial cleanser brands sourced from the Female Daily website. The research methodology consists of five main stages: data collection, preprocessing, topic modeling using LDA, visualization, and topic interpretation. The results reveal that Topic 2, which highlights preferred product advantages, is the most frequently discussed, accounting for 48.5% of the total reviews. Topic 1, which focuses on the effects of products on acne-prone skin, constitutes 38%, while Topic 3, emphasizing products with natural ingredients, makes up 13.5% of the reviews. These findings can assist businesses in developing products that align more closely with consumer preferences. Moreover, they support prospective buyers in making informed purchasing decisions by enhancing their understanding of product attributes based on user experiences
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): 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.
Peningkatan Keterampilan Motorik Halus Terhadap Siswa TK Darul Ilmi Murni Melalui Kegiatan Merakit Robot Dengan Barang Bekas Sebagai Permainan Edukatif Ade Sarah Huzaifah; R. A. Fattah Adriansyah
Jurnal Pengabdian Bersama Masyarakat Indonesia Vol. 2 No. 1 (2024): Januari : Jurnal Pengabdian Bersama Masyarakat Indonesia
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jpbmi.v2i1.357

Abstract

Fine motor skills, which involve movements using the small muscles in the hands and wrists, are essential for everyday tasks such as writing, eating, dressing and playing. These skills develop gradually from birth to adulthood and require practice. Hence, it is expected that through the activity of assembling robots with used goods in early childhood can improve children's fine motor skills, improve hand and eye coordination, dexterity, accuracy, strength, creativity, problem solving, and spatial awareness. This activity was carried out with Darul Ilmi Murni Kindergarten students, starting with coordinating with the teacher, preparing activity materials, and presenting the material while practicing it with students. The results of this activity show that assembling robots from used items is not only fun, but also educational. Children are actively involved in processing simple materials into moving robots, while improving their fine motor skills. This activity can also be an effective and fun way to introduce children to the world of technology and support their essential skills development.