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All Journal Unistek: Jurnal Pendidikan dan Aplikasi Industri Science and Education Journal
Lifia Citra Ramadhanti
Singaperbangsa Karawang University
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences

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Reduksi Cacat Retak pada Proses HPCM melalui Integrasi Six Sigma, FMEA, dan DOE Abby Yazid Bustommy; Rangga Wahyu Fattahillah; Lifia Citra Ramadhanti
UNISTEK Vol. 13 No. 2 (2026): Agustus 2026 - Februari 2027
Publisher : UNIVERSITAS ISLAM SYEKH YUSUF TANGERANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33592/unistek.v13i2.8872

Abstract

The sanitary ware industry requires stable production processes because defects in ceramic products are critical and difficult to repair. PT RII experienced quality problems in the BN 150 G squat toilet product manufactured using the High Pressure Casting Machine (HPCM) process. Initial data indicated a defect rate of 8.55%, exceeding the company tolerance limit of 4%. This study aims to measure process capability, identify the main causes of crack defects, determine failure risk priorities, and establish the optimum air pressure parameter to reduce defects. The study employed the Six Sigma method with the Define, Measure, Analyze, Improve, and Control (DMAIC) approach integrated with Failure Mode and Effect Analysis (FMEA) and Design of Experiment (DOE). The results showed that the initial process condition had a Defects Per Million Opportunities (DPMO) value of 21,400 with a sigma level of 3.52. FMEA analysis identified unstable air pressure as the most critical cause of defects, with the highest Risk Priority Number (RPN) of 576. DOE results indicated that an air pressure of 3 bar produced the lowest defect proportion and had a significant effect on product defect status (p-value = 0.041). After improvement, the DPMO decreased to 17,000 and the sigma level increased to 3.62. These findings demonstrate that the integration of Six Sigma, FMEA, and DOE is effective in reducing crack defects and improving HPCM process capability in the sanitary ware industry.
Penerapan Metode Define Measure Analyze Improve Control (DMAIC) Dan Value Stream Mapping (VSM) Untuk Meningkatkan Efisiensi Proses Administrasi Dokumen Quality Control Pada Industri Makanan Ringan Sinta Julianti; Mochamad Eko Nugroho; Lifia Citra Ramadhanti
Science and Education Journal (SICEDU) Vol 5 No 3 (2026): Science and Education Journal 2026
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v5i3.1137

Abstract

This study aims to improve administrative efficiency in the Quality Control Department by implementing the Define, Measure, Analyze, Improve, Control (DMAIC) methodology integrated with Value Stream Mapping (VSM). A descriptive quantitative approach was employed using observation, interviews, and documentation for data collection. The Define phase identified administrative waste, while the Measure phase mapped the current process using VSM. The Analyze phase determined the root causes of inefficiency through Value Added (VA), Necessary Non-Value Added (NNVA), and Non-Value Added (NVA) analyses. In the Improve phase, a Paperless System was introduced to digitalize administrative activities, followed by the Control phase through standardized procedures, a Control Plan, monitoring, and Standard Operating Procedures (SOPs) to ensure sustainable improvement. The results indicate that the implementation reduced administrative lead time from 330 minutes to 254 minutes (23%) and decreased office stationery costs from IDR 17,810,000 to IDR 11,932,500 (33%). These findings demonstrate that integrating DMAIC and VSM effectively improves administrative efficiency, minimizes non-value-added activities, and reduces operational costs in the Quality Control Department.
Pengendalian Persediaan Perangkat Jaringan dengan menggunakan Root Cause Analysis (RCA), Trend Projection, Part Period Balancing (PPB), Reorder Point (ROP) di Industri Internet Service Provider Lifia Citra Ramadhanti; Nurarofah; Mochamad Eko Nugroho
Science and Education Journal (SICEDU) Vol 5 No 3 (2026): Science and Education Journal 2026
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v5i3.1126

Abstract

The inventory control system at ISP company has not been optimally implemented, resulting in frequent stock-outs, high emergency purchasing frequency, and increased inventory costs due to the absence of a systematic approach for determining inventory requirements, optimal order quantities, and reorder timing. This study aims to identify the root causes of stock-outs using Root Cause Analysis (RCA), forecast inventory demand using the Trend Projection method, determine the optimal order quantity using Part Period Balancing (PPB), and establish the appropriate Reorder Point using the Reorder Point (ROP) method. This research employed a quantitative descriptive approach using inventory, demand, and purchasing data from January to December 2025 for seven fast-moving inventory items, namely ONT, Pathcore, Cable Clamps, Connector Pins, Adhesive Tape, Adapters, and Fiber Optic Cables. The results indicate that the primary causes of stock-outs are related to human factors, methods, materials, and the working environment. The Trend Projection method successfully generated demand forecasts that can serve as the basis for future inventory planning. The implementation of the PPB method produced more optimal order quantities by balancing ordering and holding costs, while the ROP method determined appropriate Reorder Points to ensure replenishment before inventory reached critical levels. Therefore, the integration of RCA, Trend Projection, PPB, and ROP proved effective in improving inventory control, reducing the risk of stock-outs, minimizing inventory costs, and supporting warehouse operational efficiency at PT AST.
Co-Authors Abby Yazid Bustommy Mochamad Eko Nugroho Mochamad Eko Nugroho Nurarofah Rangga Wahyu Fattahillah Sinta Julianti