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Optimization of Cost and Time in Fulfilling Furniture Raw Materials Through the Utilization of Kepelan Wood Waste: A Case Study at CV Dijawa Abadi, Jepara Ahmad Mubais; Siti Nur Halisa; Dholiful Hadi
Pro-ELLitera Vol. 2 No. 2 (2025): Pro-ELLitera Journal
Publisher : Universitas PGRI Ronggolawe Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.2024/prora.v2i2.1643

Abstract

This study aims to identify the impact of using kepelan wood waste to optimize production costs and time at CV Dijawa Abadi. Furniture industry waste at CV Dijawa Abadi has become an increasing problem due to accumulating waste in storage areas. This situation occurs due to the lack of waste utilization and delays in waste collection by buyers at CV Dijawa Abadi. This study analyzes wood waste at CV Dijawa Abadi by identifying waste according to wood thickness. The research adopts a qualitative descriptive approach, collecting data through four months of observation, interviews, and documentation. The data is analyzed and compared with materials from vendors. The results indicate that utilizing kepelan wood waste can minimize furniture production costs and time. These findings serve as a reference for furniture entrepreneurs to be more creative in running their businesses by optimizing material utilization for high-quality products. Keywords: Optimization, Kepelan Wood Waste, Cost and Time, Production
Coding for Change: Pelatihan Praktis Pemrograman dan Proyek AI Sederhana untuk Siswa SMA Abror, A. Faiq; Ahmad Mubais
Jurnal Pengabdian dan Pemberdayaan Banyuwangi (Jurnal Abdiwangi) Vol 3 No 2 (2026): Jurnal Abdiwangi
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Politeknik Negeri Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57203/abdiwangi.v3i2.2026.83-90

Abstract

The development of digital technology requires improved programming literacy and artificial intelligence understanding among high school students. However, information technology learning still focuses on application usage and lacks practical coding experience. This community service activity aimed to improve students’ basic Python programming skills and introduce simple AI through hands-on training using a project-based learning approach. The training materials included basic Python, mini projects (login system and calculator), Google Colab, and Canva AI. The results showed improvements in algorithmic thinking, the ability to develop simple programs, and increased student creativity and motivation. This training effectively enhanced digital literacy and technological competencies of high school students.