Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal INTECOMS: Journal of Information Technology and Computer Science BIOEDUSAINS: Jurnal Pendidikan Biologi dan Sains
Gimnastiyar, Abdulla
Unknown Affiliation
Computer Science & IT Education

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : BIOEDUSAINS: Jurnal Pendidikan Biologi dan Sains

 1 
Minimasi Waste (Pemborosan) pada Proses Produksi Pupuk Majemuk PT XYZ Menggunakan Pendekatan Lean Manufacturing Gimnastiyar, Abdulla; Hidayat, Hidayat; Negoro, Yanuar Pandu
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 8 No. 1 (2025): BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/bioedusains.v8i1.14145

Abstract

This study aims to minimize waste in the compound fertilizer production process at PT XYZ. The method used is lean manufacturing with the Define, Measure, Analyze, Improve, Control (DMAIC) framework. Data collection was carried out during the define and measure phases, while data processing was conducted in the analyze phase using Root Cause Analysis (RCA), Failure Mode and Effect Analysis (FMEA), and Risk Priority Number (RPN). In the improve phase, corrective actions were determined using the Analytical Hierarchy Process (AHP) to select the best improvement alternative. The results showed that the root causes of the problem were classified into three types of defects: damaged (leaking) fertilizer sacks, incorrect material usage based on recipe calculations, and fertilizer caking. These product failures were caused by factors related to man, machine, method, and material. The highest RPN value was 224, indicating the most significant risk among the defects. In conclusion, improvements at PT XYZ using the AHP method indicated that machine constraints had the highest priority value of 0.53710, having the greatest impact on waste reduction. Keywords: Defect, DMAIC, Lean Manufacturing, Waste
Co-Authors Hidayat Hidayat Yanuar Pandu Negoro