International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Contact Us

IJSTR >> Volume 8 - Issue 7, July 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Efficient Financial Management Strategy For Indonesian Health BPJS

[Full Text]



Asrid Juniar, Isti Fadah



Indonesian Health BPJS, Financial Performance, Efficiency, Data Envelopment Analysis, Strategy, SWOT Analysis



The purpose of this study is to find out and analyze the level of financial efficiency and efficient financial management strategies for a government-owned public sector company. The object of the research is the Indonesian Health Social Security Agency (Badan Penyelenggara Jaminan Sosial or Indonesian Health BPJS). Data analysis technique used in the research is Data Envelopment Analysis (DEA) to measure the efficiency level of Indonesian Health BPJS 2014-2016 with monthly data and SWOT analysis to determine efficient financial management strategies for Indonesian Health BPJS. Based on the results of the 2014-2016 Indonesian Health BPJS financial management data analysis in an efficient condition. The strategy that must be implemented for Indonesian Health BPJS for efficient financial management based on the SWOT analysis matrix can use aggressive strategies by maintaining financial management efficiency through regulating cash flow, recalculating the amount of contributions adjusted to economic conditions and gradually reducing debt important to overcome the deficit. To increase public trust, socialization and transparency of financial statements using information technology and cooperation with other health insurance to improve service quality can be an alternative strategy.



[1] I. B. Yuswanto, B. W D dan I. Fadah, “Performance Improvement Startegic Home Based Manufacturer Tahu and Tempe Groups Based in the District of Jember,” International Journal Of Scientific & Technology Research, vol. 6, no. 04, pp. 23-27, 2017.
[2] B. D. Rouyendegh, A. Oztekin, J. Ekong dan A. Dag, “Measuring the Efficiency of Hospitals: A Fully-Ranking DEA-FAHP Approach,” Ann Oper Res, 2016.
[3] P. Pinto, . I. T. Hawaldar, H. U. Rahiman, R. T.M. dan A. Sarea, “An Evaluation of Financial Performance of Commercial Banks,” International Journal of Applied Business and Economic Research, vol. 15, pp. 605-618, 2017.
[4] P. Jha, “Analyzing Financial Performance (2011-2018) of Public Sectors Banks (PNB) and Private Sectors Banks (ICICI) in India,” ICTAT Journal On Management Studies, vol. 04, no. 03, pp. 793-799, 2018.
[5] B. Veledar, M. Basic dan J. Kapic, “Performance Measurement in Public Sector of Transition Countries,” Business Systems Research, vol. 5, pp. 72-83, 2014.
[6] H. Ahn dan M. H. Le, “An Insight Into the Specification of the Input-Output Set for DEA-Based Bank Efficiency Measurement,” Manag Rev Q, pp. 3-37, 2014.
[7] Q. An, H. Chen, J. Wu dan L. Liang, “Measuring Slacks-Based Efficiency for Commercial Banks in China by Using A Two-Stage DEA Model With Undesirable Output,” Ann Oper Res, pp. 13-35, 2015.
[8] N. Oikonomou, Y. Touritas, A. Mariolis dan K. Souliotis, “Measuring the Efficiency of the Greek Rural Primary Helathcare Using A Restricted DEA Model; the Case of Southern and Western Greece,” Health Care Manag Sci, pp. 313-325, 2016.
[9] J. Puri dan S. P. Yadav, “A Fully Fuzzy DEA Approach for Cost and Revenue Efficiency Measurement in The Presence of Undesirable Outputs and Its Application to The Banking Sector in India,” Int. J. Fuzzy Syst, vol. 18, pp. 212-226, 2016.
[10] A. Juniar, I. Fadah dan R. Rahmawati, “Strategy Of Financial Efficiency Of Coal Companies In Indonesia In The Era Of Disruption,” International Journal Of Scientific & Technology Research, vol. 7, no. 11, pp. 89-93, 2018.
[11] M. Wijesiri, A. Martinez-Campillo dan P. Wanke, “Is There A Trade-Off Between Social and Financial Performance of Public Commercial Banks in India? A Multi Activity DEA Model With Shared Inputs and Undesirable Outputs,” Rev Manag Sci, 2017.
[12] B. Batchimeg, “Financial Performance Determinants of Organizations: The Case of Mongolian Companies,” Journal of Competitiveness, vol. 9, no. 3, pp. 22-33, 2017.
[13] M. Ganga, P. Kaliselvan dan R. Suriya, “Evaluation of Financial Performance,” International Journal of Scientific and Research Publications, vol. 4, no. 5, pp. 1-7, 2015.
[14] C. Pallis, K. J. Liapis dan P. M. Spanos, “Measurng Financial Strength in The Public Sector: The Case of Greek Municipalities,” Economic World, vol. 6, no. 3, pp. 177-184, 2018.
[15] M. Diana, “Measuring Performance In The Public Sector : Between Necessity and Difficulty,” Studies in Business and Economics, vol. 9, pp. 40-50, 2014.
[16] F. M.J., “The Measurement of Productive Efficency,” Journal of Royal Statiscal Society. Series A (General), vol. 120, pp. 253-290, 1957.
[17] C. A. Cooper dan W. R. E, “Measuring The Efficiency of Decision Making Units,” European Journal of Operation Research, vol. 2, pp. 429-444, 1978.
[18] B. R. D., C. A dan C. W. W., “Some Models For Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis,” Management Science, vol. 30, pp. 1078-1092, 1984.
[19] A. V. Gandhi dan D. Sharma, “Technical Efficiency of Private Sector Hospitals in India Using Data Envelopment Analysis,” Benchmarking: An International Journal, pp. 1-34, 2018.
[20] I. Budi, W. Bhayangkara dan I. Fadah, “Identification of Problems and Strategies of the Home-Based Industry in Jember Regency,” Agricultural and Agricultural Science Procedia, pp. 363-370, 2015.
[21] A. Juniar dan R. Rahmawati, “Synergy of Quadruple Helix in the Development of Small Industries Processing Fisheries in Banjar District,” International Journal od Scientific Development and Research, vol. 3, no. 11, pp. 391-399, 2018.
[22] R. Rahmawati, F. Isti dan A. Juniar, “Psychological Climate Development Strategy at Achmad Yani University Banjarmasin in the Era of Industrial 4.0,” International Journal of Scientific Development and Research, vol. 3, no. 10, pp. 170-174, 2018.
[23] F. Rangkuti, Analisis SWOT Teknik Membedah Kasus Bisnis, Jakarta: Gramedia Pustaka Utama, 2006.
[24] Q. An, F. Meng dan B. Xiong, “Interval Cross Efficiency for Fully Ranking Decision Making Units Using DEA/AHP Approach,” Ann Oper Res, 2018.
[25] W. D. Cook dan J. Zhu, “Dea Cross Efficiency,” International Series Operations Research & Management Science, pp. 23-43, 2015.
[26] S. Kaffash, R. K. Matin dan M. Tajik, “A Directional Semi-Oriented Radial DEA Measure: An Application on Financial Stability and The Efficiency of Banks,” Ann Oper Res, pp. 213-234, 2018.
[27] X. L. B.-z. Shi dan X. Zou, “A Study on Risk Factors Impact on The Efficiency of Commercial Banks in China-Based on Fuzzy DEA Model,” International Conference on Oriental Thinking and Fuzzy Logic, pp. 329-443, 2016.
[28] L. W. Wang, T. T. Tran dan N. T. Nguyen, “An Empirical Study of Hybrid DEA and Grey System Theory on Analyzing Performance : A Case From Indan Mining Industry,” Journal of Applied Mathematics, pp. 1-15, 2015.
[29] J. Puri, S. P. Yadav dan H. Garg, “A New Multi-Component DEA Approach Using Common Set of Weights Methodology and Imprecise Data: An Application to Public Sector Banks in India With Undesirable and Shared Resources,” Ann Open Res, pp. 351-388, 2017.