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ANALISIS RISIKO PADA MANAJEMEN RANTAI PASOK DARAH DI BANK DARAH RUMAH SAKIT

(BDRS)
NADIA HANIFA TAMAM
Universitas Gadjah Mada, 2019 | Diunduh dari http://etd.repository.ugm.ac.id/

DAFTAR PUSTAKA

Achmadi, R. E., dan Mansur, A., 2018, Design Mitigation of Blood Supply Chain
Using Supply Chain Risk Management Approach, International Conference
on Industrial Engineering and Operations Management, Vol 1, 1763-1772.
Agustin, R. D., dan Sastramihardja, H., 2004, Model Manajemen Persediaan Darah
di PMI Didukung Sistem Informasi Berbasis WEB (Mengadopsi Konsep
Supply Chain Management), Seminar Nasional Aplikasi Teknologi Informasi
2004, Yogyakarta.
Andersen, B., dan Fagerhaug, T., 2000, Root Cause Analysis: Simplified Tools and
Techniques. Milwaukee: ASQC Quality Press.
Badariah, N., Surjasa, D., dan Trinugraha, Y., 2012, Analisa supply chain risk
management berdasarkan metode failure mode effects analysis
(FMEA), Jurnal Teknik Industri, 2(2), 110-118.
Bedi, R. K., Mittal, K., Sood, T., Kaur, P., dan Kaur, G., 2016, Segregation of blood
inventory: A key driver for optimum blood stock management in a resource-
poor setting, International Journal of Applied and Basic Medical
Research, Vol 6(2), 119.
Belien, J., dan Force, H., 2012, Supply Chain Management of Blood Products: A
Literature Review, European Journal of Operational Research, Vol. 217, pp.
1-16.
Bolsstorf, P., dan Rosenbaum, R., 2003, Supply Chain Excellence. A Handbook for
Dramatic Improvement using the SCOR Model. USA: Amazon.
Bonfant, G., Belfanti, P., Paternoster, G., Gabrielli, D., Gaiter, A. M., Manes, M.,
dan Nebiolo, P. E., 2010, Clinical risk analysis with failure mode and effect
analysis (FMEA) model in a dialysis unit. JN journal of nephrology, 23(1),
111.
Boonyanusith, W., dan Jittamai, P., 2014, Risk Assessment in Managing the Blood
Supply Chain, Journal in Hamburg International Conference of Logistics
(HICL), 447-468.
Chapman, R. J., 2006, Simple Tools and Technique for Enterprise Risk
Management, Chichester: John Wiley & Sons, Ltd.
Cox, J. F., dan Spencer, M. S., 1998, The Constraints Management Handbook,
Boca Raton, Fla: St. Lucie Press.
DOE Guideline, 1992, Root cause analysis guidance document, Washington: US
Department of Energy.
Doggett, A. M., 2005, Root cause analysis: a framework for tool selection. Quality
Management Journal, 12(4), 34-45.
Duan, Q., dan Liao, T. W., 2013, A new age-based replenishment policy for supply
chain inventory optimization of highly perishable products, International
Journal of Production Economics, 145(2), 658-671.
Evans, J. R., dan William, M. L., 2007, An Introduction to Six Sigma & Process
Improvement. New York: McGraw-Hill.

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ANALISIS RISIKO PADA MANAJEMEN RANTAI PASOK DARAH DI BANK DARAH RUMAH SAKIT
(BDRS) 89
NADIA HANIFA TAMAM
Universitas Gadjah Mada, 2019 | Diunduh dari http://etd.repository.ugm.ac.id/

Federgruen, A., Prastacos, G., dan Zipkin, P., 1986, An allocation and distribution
model for perishable products. Operations Research, 34(1), 75-82.
Ford Motor Company, 2000, FMEA handbook with robustness linkages, Dearborn,
MI: Ford Motor Company, Ford Design Institute.
Geraldin, L. H., Pujawan, I. N., dan Dewi, D. S., 2007, Manajemen risiko dan aksi
mitigasi untuk menciptakan rantai pasok yang robust. Jurnal Teknologi dan
Rekayasa Teknik Sipil (TORSI), 53-64.
Ghadge, A., Dani, S., dan Kalawsky, R., 2012, Supply Chain Risk Management:
Present and Future Scope, International Journal of Logistics Management,
Vol. 23(3), pp. 313-339.
Grosfeld-Nir, A., Ronen, B., dan Kozlovsky, N., 2007, The Pareto managerial
principle: when does it apply?, International Journal of Production
Research, 45(10), 2317-2325.
Gunpinar, S., 2013, Supply Chain Optimization of Blood Products, Graduate
Theses and Dissertations, University of South Florida, Tampa.
Haryadi, Y. D., 2016, Perencanaan dan Pengendalian Persediaan Darah di Palang
Merah Indonesia Kabupaten Sleman, Skripsi, Teknik Mesin dan Industri,
Universitas Gadjah Mada, Yogyakarta.
Ilie, G., dan Ciocoiu, C. N., 2010, Application of fishbone diagram to determine the
risk of an event with multiple causes. Management Research and
Practice, 2(1), 1-20.
International Standard (ISO) 73, 2009, Risk Management Vocabulary, International
Organization for Standardization.
International Standard (ISO) 31000, 2009, Risk Management, International
Organization for Standardization.
Ishikawa, K., 1982, Guide to quality control, Tokyo: Asian Productivity
Organization.
Ivancic, V., 2014, Improving The Decision Making Process Trough The Pareto
Principle Application, Journal Ekon, Vol 2, 633-656.
Jüttner, U., Peck, H., dan Christopher, M., 2003, Supply chain risk management:
Outlining an agenda for future research, Int. J. Logist. Res. Appl. Vol 6, 197-
210.
Kececioglu, D., 1991, Reliability engineering handbook, Vol.1 and 2, Englewood
Cliffs, NJ: Prentice Hall.
Liliana, L., 2016, A new model of Ishikawa diagram for quality assessment, IOP
Conference Series: Materials Science and Engineering, Vol. 161, No. 1, p.
012099.
March, J. G., dan Shapira, Z., 1987, Managerial perspectives on risk and risk
taking. Management science, 33(11), 1404-1418.
Mitra, 1993, Diagram Pareto, Jakarta: Gunawidya.
Mizuno, S. E., 1988, Management for Quality Improvement: The Seven New Qc
Tools, Oregon: Productiviti Press.
Olechowski, A., Oehmen, J., Seering, W., dan Ben-Daya, M., 2016, The
professionalization of risk management: What role can the ISO 31000 risk
management principles play?, International Journal of Project
Management, 34(8), 1568-1578
ANALISIS RISIKO PADA MANAJEMEN RANTAI PASOK DARAH DI BANK DARAH RUMAH SAKIT
(BDRS) 90
NADIA HANIFA TAMAM
Universitas Gadjah Mada, 2019 | Diunduh dari http://etd.repository.ugm.ac.id/

Oliveira, D., Marins, F. A. S., Rocha, H. M., dan Salomon, V. A. P., 2017, The ISO
31000 standard in supply chain risk management, Journal of Cleaner
Production, Vol 151, 616–633.
Omdahl, T. P, 1988, Reliability, availability, and maintainability dictionary,
Milwaukee: ASQC Quality Press.
Pakendek, A. P. A., 2012, Informed consent dalam pelayanan kesehatan, AL-
IHKAM: Jurnal Hukum & Pranata Sosial, 5(2),,309-318.
Paul, J. 2014, Transformasi Rantai Suplai Dengan Model SCOR: 15 Tahun Aplikasi
Praktis Lintas Industri, Jakarta: Penerbit PPM.
Peraturan Menteri Kesehatan Republik Indonesia, Nomor 83 Tahun 2014, Tentang
Unit Transfusi Darah, Bank Darah Rumah Sakit, dan Jejaring Pelayanan
Transfusi Darah, Jakarta.
Peraturan Menteri Kesehatan Republik Indonesia, Nomor 91 Tahun 2015, Tentang
Stdanard Pelayanan Transfusi Darah, Jakarta.
Peraturan Pemerintah Republik Indonesia, Nomor 18 Tahun 1980, Tentang
Transfusi Darah, Jakarta.
Pereira, A., 2004, Performance of time‐series methods in forecasting the demand
for red blood cell transfusion, Journal of Transfusion, 44(5), 739-746.
Permana, W. R. A, 2018, Analisis dan Mitigasi Risiko Rantai Pasok pada Industri
Bakpia, Skripsi, Teknologi Industri Pertanian, Universitas Gadjah Mada,
Yogyakarta.
Putranto, F. F., 2017, Analisis Peramalan Jumlah Penerimaan dan Permintaan
Darah di Palang Merah Indonesia (PMI) Kabupaten Sleman, Tesis, Teknik
Mesin dan Industri, Universitas Gadjah Mada, Yogyakarta.
Rao, S., dan Goldsby, T. J., 2009, Supply chain risks: A review and typology, Int.
J. Logist. Manag., Vol 20, 97-123.
Robbins, S. P., dan Judge, T. A., 2013, Organizational Behavior, 15th Edition, New
Jersey: Pretince Hall.
Rytilä, J. S., dan Spens, K. M., 2006, Using simulation to increase efficiency in
blood supply chains, Management Research News, 29(12), 801-819.
Scholtes, P. R., 1988, The team handbook: How to improve performance
teams, Madison, WI: Joiner Associates.
Simbolon, A. L., 2015, Analisis Sistem Persediaan Produk Darah di Unit Transfusi
Darah (UTD) RSUP Dr. Sardjito Yogyakarta, Skripsi, Teknik Mesin dan
Industri, Universitas Gadjah Mada, Yogyakarta.
Sproull, B., 2001, Process problem solving: A guide for maintenance and
operations teams. Productivity Press.
Stamatis, D. H., 2003, Failure mode and effect analysis: FMEA from theory to
execution, Milwaukee: ASQC Quality press.
Standar Prosedur Operasional, No. Dokumen S7/01/500 – S7/01/524, 2014, Bank
Darah Rumah Sakit Bethesda, Yogyakarta.
Standar Prosedur Operasional, No. Dokumen S7/01/525 dan S15/01/165, 2017,
Bank Darah Rumah Sakit Bethesda, Yogyakarta.
Stanger, S. H., Yates, N., Wilding, R., dan Cotton, S., 2012, Blood inventory
management: hospital best practice, Transfusion medicine reviews, Vol
26(2), 153-163.
ANALISIS RISIKO PADA MANAJEMEN RANTAI PASOK DARAH DI BANK DARAH RUMAH SAKIT
(BDRS) 91
NADIA HANIFA TAMAM
Universitas Gadjah Mada, 2019 | Diunduh dari http://etd.repository.ugm.ac.id/

Sugiyono, 2015, Metode Penelitian Kuantitatif, Kualitatif dan R & D, Bandung:


Alfabeta.
Sumantika, A., 2018, Mitigasi Risiko Pada Industri Pengalengan Gudeg Di
Yogyakarta, Tesis, Teknologi Industri Pertanian, Universitas Gadjah Mada,
Yogyakarta.
Supply Chain Council, 2012, Supply Chain Operations Reference Model Revision
11.0, United States of America.
Suwardie, A.W., 2014, Pengembangan Model Simulasi Rantai Pasok Darah PMI
Kota Yogyakarta – BDRS Dr. Soeradji Tirtonegoro, Tesis, Jurusan Teknik
Mesin dan Industri, Universitas Gadjah Mada.
The Standards Australia New Zealand. 1999. AS/NZS 4360:1999. Risk
Management. Standard Association of Australia.
The Standards Australia New Zealand. 2004. AS/NZS 4360:2004. Risk
Management. Standard Association of Australia.
Tongco, M. D. C., 2007, Purposive sampling as a tool for informant
selection. Ethnobotany Research and applications, 5, 147-158.
TS003 Working Group, 2014, Report of the Survey on Blood Supply Management,
European Directorate for the Quality of Medicine & HealthCare of the
Council of Europe (EDQM), France.
Umar, H., 2002, Evaluasi kinerja perusahaan. Jakarta: Gramedia Pustaka Utama.
Vanany, I., Maryani, A., Amaliah, B., Rinaldy, F., dan Muhammad, F., 2015, Blood
Traceability system for Indonesian Blood Supply Chain, Procedia
Manufacturing, Vol.4, pp. 535-542.
Vilko, J., Ritala, P., dan Hallikas, J., 2016, Risk management abilities in multimodal
maritime supply chains: Visibility and control perspectives. Accident
Analysis & Prevention, Vol 123, 469-481.
Waugh, A., dan Grant, A., 2017, Dasar-Dasar Anatomi dan Fisiologi, 12th ed.,
Elsevier Singapore, Killiney Road.
White, A. A., Wright, S. W., Blanco, R., Lemonds, B., Sisco, J., Bledsoe, S., dan
Pichert, J. W., 2004, Cause‐and‐effect analysis of risk management files to
assess patient care in the emergency department. Academic Emergency
Medicine, 11(10), 1035-1041.

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