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All Journal Jurnal Teknik INAQUE: Journal of Industrial & Quality Engineering Community Engagement and Emergence Journal (CEEJ) Jurnal Abdimas Kartika Wijayakusuma International Journal of Management Science and Information Technology (IJMSIT) Jurnal Pengabdian Masyarakat Tjut Nyak Dhien
Norina, Rida
Fakultas Teknologi Manufaktur, Universitas Jenderal Achmad Yani, Cimahi, Indonesia
Religion Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Analysis of Effectiveness Lot Sizing Based on Design of Experiment Evan Nugraha; Gianti Puspawardhani; Rida Norina
Community Engagement and Emergence Journal (CEEJ) Vol. 5 No. 6 (2024): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v6i3.8647

Abstract

Lot sizing techniques have been widely analyzed by experts, because ordering costs, storage costs, and lot sizes have a significant impact on the total cost of ordering. This study uses lot sizing techniques including Wagner-Whitin algorithm, Silver-Meal algorithm, Least Unit Cost, Least Total Cost, Part Period Balancing, Period Order Quantity, Groff algorithm, and Lot for Lot. The data used is taken from a chemical raw material procurement company, including ordering and storage costs. The initial analysis concluded that the Silver-Meal algorithm and the Groff algorithm have relative biases that are close to the Wagner-Whitin algorithm. The second analysis concluded that for the lot sizing technique, the calculated F value (84.3) was greater than the F table value (2.1), indicating a significant effect of the lot sizing technique on the relative bias percentage. Furthermore, the demand analysis shows that the calculated F value (80.0) is greater than the F table value (2.6), indicating a significant influence of the demand on the percentage relative bias
Integrating Digital SCOR and Quality Management in the Textile Industry Evan Nugraha; Rini Mulyani Sari; Rida Norina
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8314

Abstract

The growing complexity of textile supply chains has increased the need for digital capabilities that enhance operational coordination, process integration, and quality management. The integration of digital supply chain standards with quality management remains important for improving supply chain outcomes in the textile industry. This study examines the relationship between the SCOR Digital Standard (SCOR DS) and Supply Chain Performance (SCP), with Quality Management (QM) serving as a mediating mechanism. A quantitative explanatory approach was employed using data from 320 personnel involved in supply chain, production, quality, and operational activities in the textile industry. Data were collected through structured Likert-scale questionnaires and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). SCOR DS has a significant positive effect on QM (β = 0.454, p < 0.001) and SCP (β = 0.142, p = 0.009). QM also has a stronger positive effect on SCP (β = 0.484, p < 0.001). Furthermore, QM significantly mediates the relationship between SCOR DS and SCP (β = 0.220, p = 0.007). Digital supply chain capabilities based on SCOR DS can strengthen supply chain performance, particularly when supported by effective quality management. The findings provide an integrated perspective for aligning digital SCOR practices with quality management to improve textile supply chain performance.
Peningkatan Kualitas Jasa Pewarnaan Produk Celana Jeans dengan Penerapan Six Sigma & Eksperimen Taguchi Attribute Characteristic (Kasus CV. Ciharuman Laundry) Norina, Rida; Insan Fauzi
Jurnal Teknik: Media Pengembangan Ilmu dan Aplikasi Teknik Vol 20 No 1 (2021): Jurnal Teknik - Media Pengembangan Ilmu dan Aplikasi Teknik
Publisher : Fakultas Teknik - Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jt.vol20no1.94

Abstract

CV. Ciharuman Laundry is a pants dyeing services industry. Company’s production process often defect produce. The consequences of the action defect product will have an impact on increasing production costs. One of dominant defect is not equal coloring for about 19,8%. The method used to reduce the percentage of defects is the six sigma concept (DMAIC). To find out the cause of the defect is analysis by using a casual diagram and FMEA conclusion the dominant cause is not right a compare coloring agent, water and temperature on the washing process, so improvements needed to the process with implementation of experiment Taguchi. Implementation stage of experiment divided into 3, that is first experiment which is actual condition of company right now, second experiment was done using Taguchi settings on an orthogonal array L8(27), and third experiment which was the result of confirmation experiment. The result of experiment obtained optimal settings for do the washing process temperature is 100°C, dose of the drug is 8 kilograms and the water ratio is 400 liters. The confirmation result of 120 sample by 24 attempts optimal settings proved to be able to reduce percentage of defect by 79%.
Co-Authors Adi Ganda Putra Adriyanti, Erina Arifin, Dadang Billy Fernando Silangit Budi Astuti Diah Puspita, Hermita Evan Nugraha Evan Nugraha Fauziah, Anisa Gagan Ganjar Tabah Gianti Puspawardhani Hermita Dyah Puspita Insan Fauzi Islam, Sifa Nurul Latifah, Sri Mulyati Nasution, Andri Rachmat Kumalasian Nugraha, Evan Patra, Oviyan Piseno, Wirawan Puspawardhani, Gianti Ragil Pardiyono Rini Mulyani Sari Rinto Yusriski Silangit, Billy Fernando