Deteksi dan Penanganan Cacat Produk Mebel di CV Limase Laras, Yogyakarta

Duta Arya Pratama, Ir. Vendy Eko Prasetyo, S.Hut., M.,Sc., Ph.D., IPM., ASEAN Eng.

2025 | Skripsi | KEHUTANAN

DETECTION AND HANDLING OF FURNITURE PRODUCT DEFECTS

The furniture industry, CV Limase Laras, in Yogyakarta, faces the challenge 

of a high product defect rate, which results in decreased quality, increased production costs, and reduced competitiveness in the export market. Key issues 

include variations in the quality of raw materials from unpacked wood, suboptimal quality control at every stage of the production process, varying workforce skills, and the lack of comprehensive mapping of the types, number, and locations of defects. This study aims to identify the types, number, location, and causes of furniture product defects and provide recommendations for appropriate management in the production process.

This study used quantitative and qualitative methods using primary and secondary data. Primary data was obtained through direct on-site observation, interviews, and recording of production times and output. Secondary data came from 21-day production reports for patio tables and benches for export. Analysis was conducted using the Seven Tools of Quality (Check Sheet, Defect Concentration Diagram, Pareto Diagram, Histogram, Scatter Diagram, Control 

Chart, and Fishbone Diagram) and Statistical Process Control (SPC) to monitor process stability.

The results showed that five main types of defects: rough surfaces, holes, split wood, insect holes, and uneven joints contributed more than 75% of the total defects, especially in the material processing, cutting, and assembly stages. Fishbone and Five Whys analyses revealed that the causes of defects stemmed from labor, methods, raw materials, machines, and environmental factors, with the dominant factors being lack of training, inconsistent SOPs, and low material quality and machine maintenance. Scatter diagrams showed a weak relationship

Kata Kunci : quality control, Seven Tools of Quality, Statistical Process Control,