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All Journal JSM (Jurnal SIFO Mikroskil) Jurnal Manajemen Teori dan Terapan MIX : Jurnal Ilmiah Manajemen Journal of Economic, Bussines and Accounting (COSTING) EKONOMIS : Journal of Economics and Business J-MAS (Jurnal Manajemen dan Sains) JURNAL MANAJEMEN (EDISI ELEKTRONIK) Organum: Jurnal Saintifik Manajemen dan Akuntansi Management Studies and Entrepreneurship Journal (MSEJ) Competitive REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Management and Bussines (JOMB) Journal of Management and Business Environment (JMBE) International Journal of Management Science and Information Technology (IJMSIT) Journal of Social And Economics Research Jurnal Inovasi Pengabdian Masyarakat Competitive IIJSE International Journal of Education, Management, and Technology Jurnal Kompetensi Manajemen dan Organisasi, Bisnis & Pertahanan
Rini Mulyani Sari
Universitas Jenderal Achmad Yani
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Social Sciences Transportation Other

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Analysis of the Application of the Six Sigma Method in Quality Control of the Mirror Packaging Process: A Case Study of UMKM Moca More Store Maharani, Liana; Sari, Rini Mulyani
International Journal of Education, Management, and Technology Vol 3 No 2 (2025): International Journal of Education, Management, and Technology
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ijemt.v3i2.7156

Abstract

This study evaluates and enhances the quality control process at Moca More Store, a micro, small, and medium enterprise (MSME), through the application of the Six Sigma methodology. Using data from January to September 2024, quality issues were analyzed via Defects Per Million Opportunities (DPMO), sigma level calculation, control charts, Pareto diagrams, and fishbone diagrams. Results indicate considerable process variability, with DPMO values ranging from a peak of 8,833 in July to a low of 5,563 in April, and a maximum sigma level of only 2.77. Inadequate packaging accounted for 78.83% of defects, making it the primary improvement target. Root cause analysis identified human factors, methods, machinery, and raw materials as major contributors to the problem. The improvement and control phases implemented standard operating procedures and real-time monitoring tools to reduce defects and stabilize processes. The study concludes that Six Sigma can effectively pinpoint and address critical quality issues in MSMEs, but long-term improvement requires embedding a quality-oriented culture, maintaining systematic control mechanisms, and integrating continuous feedback.
Application of Fishbone and FMEA in Quality Control of Tempe Production at Batujajar UMKM Billah, Anggita Salsa; Sari, Rini Mulyani
International Journal of Education, Management, and Technology Vol 3 No 2 (2025): International Journal of Education, Management, and Technology
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ijemt.v3i2.7204

Abstract

This study addresses the limited application of structured quality control tools in traditional food production, particularly within small and medium-sized enterprises (SMEs) such as tempe producers, despite their importance for product consistency and consumer satisfaction. The research aims to identify and analyze the dominant factors contributing to product defects, with a specific focus on discoloration in tempe production, using the Fishbone Diagram and Failure Mode and Effects Analysis (FMEA) as analytical frameworks. Adopting a qualitative-descriptive case study design, one tempe-producing SME in Batujajar was purposively selected. Data were collected through field observations and in-depth interviews over four months (March–June 2025) and supported by defect records from January to September 2024. Findings indicate that the primary cause of discoloration is insufficient employee training, followed by inconsistent implementation of standard operating procedures (SOPs), inadequate temperature and humidity control, poor yeast storage, and environmental conditions. FMEA results show that human error due to lack of training had the highest Risk Priority Number (RPN = 288), marking it as the most critical failure mode. The study concludes that preventive solutions such as regular training, SOP standardization, and environmental monitoring are essential for improving tempe product quality. The implications extend to theoretical contributions in quality management within the informal food sector and practical recommendations for SMEs and policymakers to adopt low-cost, effective quality control strategies. Future research should explore the long-term effects of such interventions on business sustainability and customer satisfaction in small-scale food enterprises.
OPTIMASI COLD CHAIN MANAGEMENT UNTUK PRODUK REAGEN DENGAN MENGGUNAKAN METODE HOUSE OF RISK (HOR) & SIX SIGMA DI PT XYZ Melviana Fuja Aliyya; Rini Mulyani Sari
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 4 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/mk918z18

Abstract

Cold chain Management (CCM) memiliki peran krusial dalam menjaga kualitas produk reagen Cell yang sensitif terhadap suhu selama proses distribusi. Penelitian ini dilakukan di PT XYZ dengan tujuan untuk mengoptimalkan pengelolaan rantai dingin melalui penerapan metode House of Risk (HOR) dan Six Sigma. HOR digunakan untuk mengidentifikasi serta memprioritaskan risiko berdasarkan risk event dan risk agent, sementara Six Sigma diterapkan untuk menganalisis akar penyebab dan merancang tindakan perbaikan yang berkelanjutan. Penelitian ini dilakukan dengan mengumpulkan data risiko dari proses distribusi, menganalisis tingkat keparahan, kejadian, dan kemampuan deteksi, lalu menentukan prioritas risiko tertinggi untuk ditindaklanjuti. Hasil penelitian menunjukkan bahwa risiko utama berasal dari prosedur pengemasan yang tidak sesuai, kurangnya pelatihan staf secara rutin, serta pemilihan pihak ketiga logistik (3PL) yang tidak mempertimbangkan kompetensi. Implementasi perbaikan seperti validasi pengemasan secara berkala, pelatihan rutin, dan evaluasi kinerja 3PL berhasil menurunkan tingkat kegagalan distribusi. Dengan demikian, integrasi HOR dan Six Sigma terbukti efektif dalam meningkatkan mutu dan keandalan Cold chain Management
Maintenance Management Analysis to Improve the Effectiveness of Single Needle Sewing Machines at PT Alendros Global Production Tita Puspita; Rini Mulyani Sari
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.v6i2.8280

Abstract

The operational efficiency of production machinery is essential for improving productivity and competitiveness in garment manufacturing. PT Alendros Global Production faces operational challenges in Single Needle sewing machines, including high downtime, declining production targets, and increasing defect rates. This study evaluates maintenance management, measures machine efficiency using Overall Equipment Effectiveness (OEE)—an indicator combining equipment availability, operating performance, and product quality—identifies major production losses using the Six Big Losses framework, and develops improvement strategies based on Total Productive Maintenance (TPM) principles. A qualitative case study supported by quantitative operational data was conducted using observations, structured interviews, company documents, and operational records from July to December 2025. The findings indicate that maintenance activities remain predominantly reactive, characterized by delayed preventive maintenance, fragmented records, and ineffective spare parts inventory control. These weaknesses resulted in average downtime of 22.80% and an OEE score of 57.63%, below the 85% World Class benchmark. The Six Big Losses analysis identified sudden mechanical breakdowns and spare parts delays as the main sources of equipment losses. Recommended improvements include strengthening preventive maintenance, implementing autonomous maintenance training for operators, establishing safety stock levels, digitizing maintenance records, and improving production–maintenance communication. These measures provide a practical framework for reducing downtime, stabilizing machine performance, minimizing defects, and improving production efficiency.
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.
Co-Authors Abdurahman, Khairul Rizal Adiyanti, Siska Ayudia Adzan Marjohan Nasution Arief Yunan Asep Kurniawan Billah, Anggita Salsa Dani Hadiansyah Diansyah, Muhamad Renal Evan Nugraha Evan Nugraha Evan Nugraha Evan Nugraha Evan Nugraha Herawati, Siti Igorevna, Volkhonova Mariya Jenita Maulina Kosasih Ludiya, Eka Maharani, Liana Melviana Fuja Aliyya Mulyana, Aam Rachmat Norina, Rida Nugraha, Evan Nugraha, Evan Nurtjahjadi, Edi Pangestuti, Monika Windiana Septiandina, Neva Sholahudin, Ridwan Sumeidi Kadarisman T.M.A Ari Samadhi Tita Puspita Vany Wulandari Vip Paramarta Yuliani, Herni