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Pelatihan smart packaging design sebagai upaya peningkatan branding dan nilai jual produk kuliner UMKM Rapiyanta, Paulus Tofan; Andriani, Anik; Purnamawati, Annida; Safitri, Lina Ayu
Penamas: Journal of Community Service Vol. 5 No. 4 (2025): Penamas: Journal of Community Service
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/penamas.v5i4.2309

Abstract

The culinary MSME sector in Desa Prima Gayatri, Bangunjiwo, Kasihan, Bantul, Yogyakarta Special Region, faces challenges due to unappealing packaging designs, resulting in low consumer interest and limited product competitiveness. This issue arises from the lack of understanding and digital design skills among business owners in creating professional packaging. This community service program aims to train MSME owners to design their product packaging independently using free digital platforms. The smart packaging design approach was implemented to enhance packaging aesthetics, strengthen branding, and increase product value. The training was conducted systematically through several stages, including a needs assessment survey, module development, theoretical and practical training sessions, and evaluation through questionnaires and post-training monitoring. The evaluation results showed a significant improvement in participants' abilities. Based on data from 22 respondents, digital design skills increased by 81%, with an average score of 4.45 out of 5. Participant satisfaction with the training materials and methods was also high, with an average score of 4.59, and 95.45% of participants agreed that the training effectively addressed their challenges. Participants successfully created new packaging designs that were more attractive and professional, enhancing product image and consumer interest.
Application of the Rapid Application Development (RAD) Method for Web-Based Financial Management and Wood Inventory Using CodeIgniter Meyliana, Anastasia; Rapiyanta, Paulus Tofan; Andriani, Anik
ARRUS Journal of Engineering and Technology Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech2722

Abstract

Financial management system and wood inventory at UD. Anugrah Limbah often faces problems that can affect operational efficiency and accuracy. Problems that arise include the fact that financial recording and wood inventory is still done manually, making it vulnerable to double recording, miscalculations or loss of data as well as other problems. This research discusses the application of the Rapid Application Development (RAD) method in developing financial and wood inventory management applications. The aim of this research is to design and implement an application that can increase efficiency and accuracy in managing finances and wood supplies at UD. Anugrah Limbah. The Rapid Application Development method was chosen because of its advantages in accelerating the application development process through an iterative and collaborative approach, which allows end users to actively participate in every stage of development. The research results show that by using the Rapid Application Development method, applications can be developed in a shorter time with quality maintained. The resulting application has features such as recording financial transactions, monitoring wood supplies, and reporting that is integrated and easy to access.
Enhancing Javanese Emotion Classification: A Comparative Study of Cross-Lingual, Supervised, and Hybrid Transfer Learning using IndoBERTweet Galih Setiawan Nurohim; Heribertus Ary Setyadi; Sigit Wahyudi; Paulus Tofan Rapiyanta
Journal of Information System and Informatics Vol 8 No 3 (2026): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i3.1657

Abstract

This research investigates transfer learning efficacy for five-class emotion classification in Javanese Ngoko. A parallel Indonesian–Javanese Ngoko corpus was synthesized by translating 5,400 samples from the PRDECT-ID dataset using machine translation, with translation quality verified via a preliminary expert validation sample. Using IndoBERTweet as the backbone architecture, three paradigms were evaluated: zero-shot transfer (E1), fully supervised learning (E2), and cross-lingual transfer learning (E3) with identical hyperparameters. Empirical results indicate that the cross-lingual transfer (E3) setup achieved peak performance (67,5% accuracy; 0,67 weighted F1) under the evaluated dataset and experimental setting. Per-class analysis identified that positive affect (Happy) showed cross-lingual stability, whereas negative emotions (Sadness, Fear) suffered degradation due to lexical divergence between the two languages. Training dynamics revealed early-onset overfitting, suggesting model capacity exceeds current dataset density. This work establishes a baseline benchmark for Javanese emotion classification and provides a reproducible machine-translated parallel corpus, emphasizing the need for future validation with native-speaker data to mitigate translation bias.