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All Journal Journal Of Industrial Engineering & Technology Innovation
Dyah Fitri Ayu Kusniah
Universitas 17 Agustus 1945 Banyuwangi
Chemical Engineering, Chemistry & Bioengineering Engineering Industrial & Manufacturing Engineering

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ANALISIS PEMELIHARAAN MESIN PEMIPIL JAGUNG MENGGUNAKAN METODE FMEA DAN FTA PADA JASA PEMIPILAN JAGUNG DI DESA ALASBULUH WONGSOREJO Dyah Fitri Ayu Kusniah; Asfarina Hidayah; Muhammad Yusuf
Journal of Industrial Engineering & Technology Innovation Vol. 4 No. 1 (2026): Journal of Industrial Engineering & Technology Innovation (JIETI)
Publisher : LENVARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61105/jieti.v4i1.432

Abstract

Corn is one of the strategic agricultural commodities in Indonesia that plays an important role in food security and regional economic development. In post-harvest processing, corn shelling machines are widely used to improve production efficiency and reduce manual labor. However, continuous machine operation during harvest seasons often causes component failures that can disrupt the production process and increase downtime. This study aims to identify failure modes, determine critical components, analyze the root causes of failures, and propose preventive maintenance improvements for a corn shelling machine at a corn shelling service business in Alasbuluh Village, Wongsorejo. The study employed Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) methods. Data were collected through direct observation, interviews, documentation, and historical machine failure records during January–February 2026. The results showed that the screen component had the highest failure risk, with Risk Priority Number (RPN) values of 378 for clogged screens and 336 for broken screen bars. The failures were mainly caused by dirty raw materials, high corn moisture content, lack of routine cleaning, excessive workload, and machine vibration. FTA results indicated that machine failures were influenced by human, machine, material, and environmental factors. Based on the findings, preventive maintenance procedures consisting of daily, weekly, and monthly maintenance activities were proposed to reduce downtime and improve machine reliability.
ANALISIS PENGENDALIAN KUALITAS PRODUK KOPI DENGAN MENGGUNAKAN METODE SEVEN TOOLS DI UMKM KOPI XYZ BANYUWANGI Asfarina Hidayah; Dyah Fitri Ayu Kusniah
Journal of Industrial Engineering & Technology Innovation Vol. 4 No. 1 (2026): Journal of Industrial Engineering & Technology Innovation (JIETI)
Publisher : LENVARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61105/jieti.v4i1.436

Abstract

XYZ Coffee MSME in Banyuwangi is a coffee processing business that still faces product quality problems in the form of defects during the production and packaging processes. This study aims to analyze coffee product quality control using the Seven Tools method in order to identify the dominant types of defects and the factors causing defective products. The methods used in this study include check sheets, histograms, scatter diagrams, control charts, Pareto diagrams, and fishbone diagrams. The results showed that there were two types of product defects, namely broken coffee beans with 232 defects and peeling stickers with 311 defects during the period of September 2025 to January 2026. Based on the Pareto diagram results, the dominant defect was peeling stickers with a percentage of 57.3%, while broken coffee beans accounted for 42.7%. The p-chart calculation results indicated that the production process was still within statistical control limits with a Central Line (CL) value of 0.088. The main factors causing defects originated from human, method, material, and machine aspects, especially in the sticker installation process which was still carried out manually, resulting in less optimal adhesive strength. Therefore, the company needs to improve the sticker installation method, enhance the quality of adhesive materials, improve roasting machine settings, and increase worker accuracy in order to minimize the number of defective products.
Co-Authors Asfarina Hidayah Asfarina Hidayah. Hidayah Muhammad Yusuf