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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
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.