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People, Process, Technology, and Partner in Hospital Supply Chain Management: A Systematic Literature Review Setiawati, Marla; Simatupang, Togar Mangihut; Okdinawati, Liane
Jurnal Internasional Penelitian Bisnis Terapan Vol 6 No 02 (2024)
Publisher : Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar

This systematic review aims to identify gaps in the areas of people, processes, technology, and partners within hospital supply chain management. The analysis followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to ensure a rigorous and comprehensive approach. The review identified significant gaps in each area. In terms of people, two key gaps were observed. First, there is a lack of research exploring the impact of hospital supply chain management on patients, particularly in relation to patient satisfaction and healthcare outcomes. Second, there is limited attention given to the role of government policies and regulations in shaping and influencing hospital supply chain management practices. Regarding the process, the review identified a gap in the understanding of service delivery within hospital supply chain management. In the area of technology, gaps were found in research related to specific technological applications. Specifically, there is a limited focus on the utilization of radio frequency identification (RFID), information technology (IT), and blockchain in hospital supply chain management. Exploring the potential benefits and challenges associated with these technologies would contribute to more efficient inventory management, enhanced traceability, and improved data security. Lastly, the review identified a gap in understanding the dynamics and effectiveness of partnerships within hospital supply chain management. Limited research has explored the strategies and best practices for establishing and managing partnerships with suppliers, distributors, and manufacturers. Investigating successful partnership models and factors influencing their effectiveness would enable hospitals to optimize collaboration efforts and achieve improved supply chain performance.

Leveraging Value Chain Analysis to Drive Growth in the Muslim Fashion Industry: A Small and Medium Enterprise Strategy Case Study Silitonga, Roland Y.H.; Setiawati, Marla; Triutami, Eunike Novana; Indriati, Ellen
Engineering Science Letter Vol. 2 No. 03 (2023): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v2i03.398

This article presents a comprehensive case study that utilises value chain analysis to analyse and develop strategies for small and medium enterprises (SMEs) operating in the Muslim fashion industry. The research addresses critical challenges facing SMEs in accessing the final market and proposes strategic solutions for all stakeholders involved in the value chain. The study adopts Kaplinsky's value chain analysis approach, complemented by quantitative tools such as SWOT and Diamond Competitiveness Analysis. The findings reveal that SMEs encounter four significant barriers to accessing the final market: economies, product characteristics, heavy promotion and advertising, and trading barriers. These barriers pose significant challenges due to internal limitations within the organisations. With these obstacles, a multifaceted strategy is proposed. The proposed plan includes the following key initiatives: (1) Segmentation of the target consumer base to optimise services, thus maximising penetration; (2) Strengthening collaborative partnerships between different actors within the value chain to enhance overall competitiveness; (3) Implementation of targeted promotion and communication programs to improve customer satisfaction and brand visibility; (4) Establishment of a comprehensive data recording system to streamline business processes and improve tactical decision-making; and (5) Investment in technological advancements within the production process to enhance product quality. By implementing these strategies, SMEs can effectively address the identified barriers and unlock their growth potential within the Muslim fashion industry. This case study contributes to the existing body of knowledge by providing practical insights and recommendations for SMEs operating in the Muslim fashion sector. The findings can guide policymakers, industry practitioners, and researchers in formulating effective strategies to foster growth and sustainability in this dynamic industry.

Pemelajaran Mesin untuk Pengendalian Mutu pada Proses Produksi Tekstil Tradisional Yosephine, Vina Sari; Hanna, Tabitha; Setiawati, Marla; Setiawan, Ari
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.7173.165-174

This research is centered on the practical implementation of machine learning and computer vision technologies to enhance production quality control within the traditional textile industry. The traditional textile sector, known for labor-intensive practices, has slowly adapted to digital transformation. We present a practical case study from Bandung, Indonesia, to validate the effectiveness of our approach in real-world textile manufacturing. By emphasizing machine learning and computer vision, this research narrows the gap between traditional textile practices and digitalization, offering tailored solutions for manufacturers seeking to excel in today's rapidly changing global market. The findings provide valuable insights into the challenges and opportunities of using machine learning and computer vision for production quality control in traditional textile manufacturing. The machine learning models in the study showed good accuracy, ranging from 75% to 100% under various lighting conditions in real-world textile manufacturing environments, confirming their suitability for practical quality control applications.

Scalable and Affordable IoT-based Inventory Control with Real-Time Monitoring for Small and Medium Enterprises Yosephine, Vina Sari; Batara, Marco; Setiawati, Marla
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 27 No. 1 (2025): June 2025
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.27.1.121-136

Small and medium enterprises (SMEs) often struggle to adopt advanced inventory management systems due to high implementation costs and infrastructure complexity—barriers that are especially challenging in the context of Industry 4.0. This paper presents a scalable and affordable IoT-based stock monitoring and control system designed for small and medium enterprises. The proposed system integrates low-cost microcontrollers with ultrasonic sensors, enabling real-time stock tracking while reducing hardware expenses and complexity. Unlike existing solutions, it leverages a modular architecture for seamless scalability across different inventory sizes and environments. The system is validated through compliance with the Industry 4.0 Maturity Index and the ISA-95 standard, demonstrating its suitability for digital transformation in SME operations. Performance evaluation shows an accuracy rate exceeding 98% and response times under 10 seconds, ensuring reliable operation under varying environmental conditions. A comparative cost analysis highlights significant savings compared to conventional automated inventory systems. This approach provides an accessible entry point for SMEs seeking to enhance inventory visibility, operational efficiency, and readiness for Industry 4.0 integration.

Analisis Tingkat Kualitas Pelayanan Terhadap Kepuasan Konsumen Dengan Metode Service Quality Pada Pindadmart Agung, Alexander Gregorius; Setiawati, Marla
Innovative: Journal Of Social Science Research Vol. 4 No. 4 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i4.12475

Pelayanan adalah suatu tindakan atau cara melayani orang lain untuk memenuhi apa yang menjadi kebutuhan dan keinginannya. Berbagai jenis pelayanan didapatkan oleh konsumen selama menggunakan pelayanan tersebut dapat menentukan kepuasan konsumen. Penelitian ini bertujuan untuk menganalisis tingkat kualitas pelayanan dengan mengidentifikasi harapan dan kenyataan konsumen. Pengukuran kepuasan konsumen dilakukan dengan kuesioner kepada 100 responden, untuk mengetahui nilai harapan dan kenyataan pelayanan yang diterima konsumen atau metode SERVICE QUALITY. Pengukuran kepuasan konsumen dilakukan terhadap lima dimensi jasa yaitu, Tangible, Reability, Responsiveness, Assurance, dan Emphaty. Dari hasil pengukuran konsumen diketahui nilai rata-rata harapan konsumen yaitu 4.81 dengan nilai rata-rata kenyataan sebesar 3.84 sehingga terdapat gap kualitas pelayanan sebesar -0.97. dari perhitungan gap tersebut dikelompokan menjadi empat kuadran berdasarkan prioritas perbaikan menggunakan Importance Performance Analysis (IPA)

Pemelajaran Mesin untuk Pengendalian Mutu pada Proses Produksi Tekstil Tradisional Yosephine, Vina Sari; Hanna, Tabitha; Setiawati, Marla; Setiawan, Ari
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.7173.165-174

This research is centered on the practical implementation of machine learning and computer vision technologies to enhance production quality control within the traditional textile industry. The traditional textile sector, known for labor-intensive practices, has slowly adapted to digital transformation. We present a practical case study from Bandung, Indonesia, to validate the effectiveness of our approach in real-world textile manufacturing. By emphasizing machine learning and computer vision, this research narrows the gap between traditional textile practices and digitalization, offering tailored solutions for manufacturers seeking to excel in today's rapidly changing global market. The findings provide valuable insights into the challenges and opportunities of using machine learning and computer vision for production quality control in traditional textile manufacturing. The machine learning models in the study showed good accuracy, ranging from 75% to 100% under various lighting conditions in real-world textile manufacturing environments, confirming their suitability for practical quality control applications.

DISRUPSI, METODE, SCOR-MODEL, INVENTORY MANAGEMENT DALAM MANAJEMEN RANTAI PASOK DI RUMAH SAKIT: SYSTEMATIC LITERATURE REVIEW Setiawati, Marla; Jovanka, Christabel; Eve, Joana; Eryl, Windy; Jumbar, Suwennay Lovely
Jurnal Bisnis dan Manajemen (JBM) JBM Vol 21 (2025): Issue 2
Publisher : Faculty of Economics and Business University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jbm.v21i2.3568

Rumah sakit menghadapi tantangan yang rumit dalam rantai pasok terutama pada manajemen inventaris yang penting untuk kelangsungan layanan kesehatan. Studi ini bertujuan menganalisis kesenjangan dalam manajemen rantai pasok rumah sakit melalui Systematic Literature Review terhadap 67 artikel jurnal, dengan fokus pada disrupsi, metodologi, penerapan model SCOR dan manajemen inventori. Analisis menunjukkan bahwa adopsi teknologi canggih seperti Blockchain dapat meningkatkan kontrol inventaris dan transparansi. Selain itu, hasil penelitian juga menunjukkan aspek manajemen pengembalian dalam model SCOR di sektor kesehatan yang masih kurang tereksplorasi, dengan penekanan pada kebutuhan strategi untuk mengurangi risiko inventaris.

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