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All Journal JMM (Jurnal Masyarakat Mandiri) Jurnal Informasi dan Teknologi Jurnal Sistem Komputer dan Informatika (JSON) Community Empowerment Golden Ratio of Community Services and Dedication Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Journal of Embedded Systems, Security and Intelligent Systems Nobel Community Services Journal Management of Information System Journal Bhakti: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Paula Eka Wijaya
Institut Teknologi Dan Bisnis Nobel Indonesia, Makassar, Indonesia
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Public Health Social Sciences Other

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Proyeksi Tren Kategori Pakaian Mendatang Menggunakan Random Forest pada Data Transaksi Pelanggan Nur Aini Umar; Andi Ircham Hidayat Hidayat; Eka Wijaya Paula
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.2776

Abstract

The dynamic fashion industry requires accurate trend projections for marketing and product development. This study aims to project future clothing trends using Random Forest as the primary model and XGBoost as the secondary model. The main dataset contains 3,900 transactions with demographic information, purchase history, seasonal data, and product categories. For local context, inventory data from the “Coffer Ruh” fashion store was integrated as a companion case study. The methodology included preprocessing, handling class imbalance with SMOTE, stratified splitting (80:20), training Random Forest and XGBoost, and evaluation using accuracy, precision, recall, F1-score, and a confusion matrix. Evaluation results (Outerwear, Footwear, Bottoms, Tops, Accessories) show that Random Forest achieved an accuracy of 67.56%, weighted precision of 68.04%, recall of 67.56%, and an F1-score of 67.79%, while XGBoost demonstrated similar performance with an accuracy of approximately 68%. The Random Forest model projected Jackets (17%), Coats (12%), and Shoes (10%) as the top three global trend categories. Store data analysis revealed the highest stock levels for children’s masks (35 pcs), red cornersticks (33 pcs, coats), and drams (31 pcs, jackets). There is some alignment: two of the three products with the highest inventory are outerwear items that align with global trends; however, masks are not a predicted apparel category. Due to limitations in the store data (small sample size, lack of time/transaction dimensions), transfer learning or hybrid dataset approaches cannot yet be applied, which is identified as a limitation and a direction for future research.
Branding and Digital Marketing: The Secret to Making SME Products Better Known and Sought After in Sawaru Village, Indonesia N. Nurlaela; F. Fitri; Andi Ririn Oktaviani; Erik Rachim; Eka Wijaya Paula
Golden Ratio of Community Services and Dedication Vol. 6 No. 1 (2026): November - April
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grcsd.v6i1.2038

Abstract

This Community Service (PKM) activity aims to improve literacy and understanding among Micro, Small, and Medium Enterprises (MSMEs) in Sawaru Village regarding the importance of branding in building product image and identity. It also provides practical training in creating attractive, consistent logos, packaging, and brand identities. Furthermore, this activity aims to improve MSMEs' ability to use digital media, such as social media (Instagram and Facebook) and marketplaces (Shopee and Tokopedia), for product promotion and sales. The activity's implementation methods include training, hands-on practice, and mentoring, conducted in a participatory manner involving local MSMEs. The results indicate that the training successfully improved MSMEs' understanding and skills in building branding and implementing more targeted digital marketing strategies. Participants were able to create brand identities, manage digital business accounts, and increase product exposure on digital platforms. This training also demonstrated that design and branding skills do not require high costs or complex technology. By leveraging simple digital tools and local creativity, MSMEs can create professional, competitive brand identities. Technically, this activity also fostered a spirit of collaboration among MSMEs by sharing design and packaging ideas, which serves as crucial social capital for the formation of a creative MSME community in Sawaru Village.
Co-Authors - Sri Prilmayanti Awaluddin, - Adijah S, Andi Adijah S Agunawan Agunawan Agunawan, Agunawan Agusrianto Agusrianto Ahmad Firman Andi Ircham Hidayat Andi Ircham Hidayat Hidayat Andi Ririn Oktaviani Andi Ummul Khair Andi Widiawati Aulyah Zakilah Ifani Dara Ayu Nianty Deni Anggreani Sutomo Dirwan Dirwan Erik Rachim F. Fitri Faisal Rizal Zainal Fitryani Fitryani Fyan Wijaya Komputra Ahmadi Kamaluddin, La Ode Amijaya Masyita Risna Muh. Syilfa Nooviar Muhammad Asrauf Mustamin Muhammad Komeini Muhammad Rijal Muhammad Yassir Muthi Syahidah Arifuddin N. Nurlaela Nur Aini Umar Nurani Nurani Nurani Nurkhalik Wahdanial Asbara Nurul Istiqamah Nurul Istiqamah Raden Wirawan Tamriesfatno, Sigrid Wanda Cahyani Zalfa Naqiyah