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The Impact of Supply Chain Management Practices on Competitive Advantage and Organizational Performance Roland Y. H. Silitonga; Marla Setiawati; Sarah E. K. Immanuella
Journal of Management Studies and Development Vol. 2 No. 01 (2023): Journal of Management Studies and Development
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jmsd.v2i01.118

Abstract

This study aims to examine the effect of supply chain management (SCM) on competitive advantage and company performance in the MSME culinary industry in Bandung. The subject of this research is the culinary industry MSMEs in the city of Bandung. This type of research is quantitative research using a questionnaire distributed directly to the culinary industry, with as many as 40 questionnaires. Data analysis used multiple linear regression and path analysis. The results show that supply chain management influences competitive advantage, supply chain management is not proven to affect company performance, competitive advantage affects company performance, and supply chain management affects company performance through competitive advantage but tends to have an influence—direct effect on company performance.
Analisis Kepuasan Kualitas dan Rancangan Perbaikan Pelayanan Jasa Kesehatan Priska Sugiharta; Roland Y. H. Silitonga; Marla Setiawati
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 9 No. 2 (2023): Desember
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v9i2.6434

Abstract

Banyaknya fasilitas kesehatan yang ada di Provinsi Jawa Barat menuntut setiap rumah sakit untuk mampu memuaskan pengunjungnya dengan memberikan pelayanan terbaik agar dapat tetap bersaing. RSUD X kerap mendapatkan banyak keluhan dari pengunjung terkait dengan kualitas layanan yang diberikan. Penelitian ini bertujuan untuk mengeva­luasi kualitas pelayanan RSUD X, menganalisis atribut kualitas pelayanan yang perlu men­dapatkan prioritas perbaikan, serta merancang usulan perbaikan beserta prioritasnya untuk meningkatkan kualitas pelayanan pada RSUD X. Penelitian ini menggunakan metode Service Quality untuk mengevaluasi kepuasan pengunjung melalui pengukuran gap antara persepsi dan ekspektasi, metode Importance Performance Analysis untuk menge­tahui atribut yang perlu diperbaiki, serta metode Quality Function Deployment untuk merancang saran perbaikan yang sesuai. Hasil analisis dengan metode Service Quality menunjukkan bahwa nilai rata-rata gap skor sebesar -1,053 yang berarti RSUD X belum dapat memenuhi kepuasan pengunjung. Terdapat 5 atribut yang menjadi prioritas utama dalam perbaikan berdasarkan hasil analisis dengan metode Importance Perfor­mance Analysis. Berdasarkan hasil analisis dengan metode Quality Function Deployment, prioritas utama perbaikan yang dapat meningkatkan kualitas layanan RSUD X adalah “rutin melakukan perapihan jam pelayanan dan rescheduling jadwal tenaga medis” dengan kontribusi sebesar 26,6%. Penerapan ketiga metode ini berhasil mendapatkan usulan perbaikan yang bersifat teknis dan dapat langsung diterapkan oleh pihak RSUD X.
Exploring Hospital Supply Chain Partnership Factors and Its Impact on Overall Supply Chain Performance Marla Setiawati; Aiko Pasaribu; David Prasetya Halim; Juan Darmawan
Petra International Journal of Business Studies Vol. 6 No. 2 (2023): DECEMBER 2023
Publisher : Master of Management, School of Business and Management, Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/petraijbs.6.2.213-225

Abstract

Hospitals function as complex businesses with intricate supply chain networks involving collaboration among various entities to efficiently deliver information, goods, and services to end customers. This study investigates the causal relationships between hospitals, suppliers, and government entities within the supply chain network. Employing system thinking, system dynamics, and causal-loop diagrams, it assesses how coordination, collaboration, and integration impact hospital supply chain performance. The findings reveal that high coordination and collaboration among suppliers, hospitals, and government entities positively influences supply chain performance. The study identifies key factors contributing to effective partnerships, such as information sharing, trust levels, supplier quality standards, inventory capabilities, flexibility, pricing strategies, and IT integration. Additionally, the research considers hospitals' dynamic capabilities, key performance results, patient outcomes, government healthcare spending, regulations, and economic indicators. Managerial implications emphasize the importance of strong partnerships to enhance overall supply chain performance, potentially improving patient outcomes and healthcare service quality. While acknowledging limitations, the study suggests future research avenues, including exploring the impact of other stakeholders and specific factors on hospital supply chain management.
Supply Chain Performance Measurement at XYZ Company Distribution Center Using SCOR 12 David Prasetya; Anggoro Prasetyo Utomo; Marla Setiawati
Petra International Journal of Business Studies Vol. 7 No. 1 (2024): JUNE 2024
Publisher : Master of Management, School of Business and Management, Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/petraijbs.7.1.66-79

Abstract

Recognizing the limitations of their current, subjective evaluation system focused solely on delivery, XYZ Company seeks to implement a more standardized and comprehensive approach to supply chain performance measurement. This research aims to evaluate the performance of XYZ Company's Distribution Center (DC) supply chain using the well-established Supply Chain Operations Reference (SCOR) model. SCOR provides a validated set of performance indicators, which will be further weighted using the Analytical Hierarchy Process (AHP) to reflect their relative importance to XYZ Company's specific goals. The Snorm De Boer method will then be employed to normalize the final score for each indicator.  A traffic light system will visually represent performance gaps, highlighting areas requiring immediate improvement. This research will analyze data from 27 key metrics across 2022 and 2023, providing a holistic picture of DC performance. While preliminary results indicate an overall "average" to "good" performance (69.54 and 70.08, respectively), further analysis will identify specific areas for improvement based on SCOR Best Practices. This research will ultimately propose practical solutions to enhance XYZ Company's overall supply chain efficiency and effectiveness.
Analysis of The Influence of Supplier and Government Partnerships on Hospital Supply Chain Performance Aiko Pasaribu; Roland Y. H. Silitonga; Marla Setiawati
Petra International Journal of Business Studies Vol. 7 No. 1 (2024): JUNE 2024
Publisher : Master of Management, School of Business and Management, Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/petraijbs.7.1.99-112

Abstract

Indonesia's healthcare industry has expanded rapidly alongside population growth to 278 million by 2023, driving a notable increase in healthcare expenditure. Hospitals form the backbone of healthcare provision, Within the complex landscape of the healthcare industry, the hospital supply chain (HSC) is crucial for ensuring the timely delivery of medical resources. Partnerships may play a crucial role in improving an HSC’s overall performance. This study employs System Dynamics modeling to analyze the impact of supplier and government partnerships on HSC performance. The study extends the existing literature by incorporating both CLD and SFD methodologies to provide a more comprehensive analysis of the factors and intricacies within hospital supply chain partnerships. The findings indicate that high trust, IT integration, and hospital dynamic capabilities improve hospital supply chain performance through better information sharing and integration. Hospital demand significantly influences government regulations and control, further affecting performance. Theoretically, this study advances how dynamic interactions and feedback loops between multiple stakeholders within the HSC can be effectively modeled to gain insight and enhance healthcare supply chains.
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

Abstract

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

Abstract

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

Abstract

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.
A Systematic Literature Review on Hospital Supply Chain Management: Exploring Hospital Types, Methodologies, SCOR Framework, and Technological Innovations Marla Setiawati; Christofer Yehuda; Damasus Dista Bima; Richardo Halim; Yoshua Mayo
Petra International Journal of Business Studies Vol. 7 No. 2 (2024): DECEMBER 2024
Publisher : Master of Management, School of Business and Management, Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/petraijbs.7.2.158-174

Abstract

This paper provides a systematic literature review of hospital supply chain management (SCM), emphasizing variations across hospital types, methodological frameworks, the SCOR model, and technological advancements. Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, the study systematically identifies, screens, and synthesizes relevant research to ensure comprehensive and high-quality data. The article selection process was done through a multiple screening procedure by four researchers, who collaboratively assessed data quality and relevance to the research topic. Individual researchers then further evaluated each identified article to avoid bias and ensure objectivity in the selection process. It highlights unique SCM challenges public and private hospitals face, particularly in resource allocation and technology adoption. Constrained by budget limitations, public hospitals often depend on collaborations and streamlined processes to ensure essential supplies. In contrast, private hospitals leverage technological tools such as AI, IoT, and blockchain for real-time data analysis and efficiency gains. Key SCM methodologies reviewed include Deep Reinforcement Learning, Multi-Criteria Decision-Making frameworks, and simulation modeling, each offering diverse benefits in cost management, inventory control, and decision support. The SCOR framework’s applicability to hospitals is also discussed, emphasizing areas for process optimization and patient care improvements. The study concludes with insights into strategic SCM practices that support operational resilience, efficiency, and patient outcomes across hospital types, urging future research on scalable, technology-driven SCM solutions for healthcare institutions.
Analisis Kualitas Pelayanan Aplikasi XYZ untuk Meningkatkan Kepuasan Mitra dengan Metode Servqual, IPA, dan CSI Jehezkiel Haryanto; Roland Y. H. Silitonga; Marla Setiawati
Journal of Integrated System Vol. 6 No. 2 (2023): Journal of Integrated System Vol. 6 No. 2 (Desember 2023)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jis.v6i2.6587

Abstract

Kualitas kinerja pelayanan penting dalam menghasilkan kepuasan pelanggan, termasuk di dalam usaha B2B. Penelitian ini dilakukan pada platform digital XYZ yang menyediakan rental mobil yang memungkinkan pengguna untuk menyewa mobil atau menyewakan mobilnya (partner) dalam satu akun yang sama. XYZ memanfaatkan B2B sebagai model bisnisnya, dengan tujuan untuk memudahkan pengguna dalam menyewa mobil dan memperluas pasar bagi pemilik usaha rental mobil. XYZ mulai kehilangan mitra aktifnya secara bertahap sebesar 19,15% setiap tahunnya, yang menyebabkan XYZ mengalami penurunan profit. Penelitian ini bertujuan untuk menganalisis kinerja pelayanan untuk meningkatkan kepuasan pelanggan dengan menerapkan metode Servqual, IPA, dan CSI. Metode Servqual digunakan untuk mendapatkan urutan dan gap antara persepsi dan harapan, IPA digunakan untuk mendapatkan prioritas perbaikan atribut layanan, dan CSI digunakan untuk mengetahui tingkat kepuasan pelanggan terhadap kualitas layanan yang telah ditawarkan. Servqual menunjukkan adanya gap sebesar -0,593 yang berarti XYZ belum mampu memenuhi harapan mitra, sedangkan IPA menunjukkan adanya tujuh atribut layanan yang menjadi prioritas perbaikan dan diurutkan berdasarkan gap terbesar, CSI menunjukkan tingkat kepuasan mitra secara keseluruhan sebesar 73% dan termasuk dalam kategori “cause for concern” atau memprihatinkan. Maka disimpulkan bahwa untuk meningkatkan kepuasan mitra, aplikasi XYZ harus memperbaiki atribut layanan yang menjadi prioritas perbaikan dengan cara memperpanjang waktu operasional, berkomitmen membantu mitra, membuat SOP inspeksi kendaraan, dan menambah fitur live location pada aplikasi. Saran untuk penelitian selanjutnya yaitu melakukan analisis kualitas layanan dari sisi pelanggan.