Performance Analysis of Saving and Credit Cooperatives "Case Study: KSP / KSU in Gowa Regency"

Sahade Sahade(1*),

(1) Universitas Negeri Makassar
(*) Corresponding Author




DOI: https://doi.org/10.26858/ja.v7i1.13773

Abstract


The purpose of this study was to determine the performance of savings and loan cooperatives in Gowa Regency and the magnitude of the influence of the quality factors of productive assets, capital, profitability, and liquidity both partially and simultaneously on the performance of KSP/USP in Gowa Regency. This research uses quantitative research because the data used in this study are quantitative data. Research data which is secondary data concerning the quality of productive assets, capital, profitability and liquidity from 41 KSP/USP financial statements in Gowa Regency that have carried out consecutive RATs during 2008 through documentation data collection techniques. The data is analyzed using multiple linear regression and financial ratios. The results of the KSP/USP financial ratio analysis in Gowa Regency were quite healthy. While the results of multiple linear analysis of the factors of quality of productive assets, capital, profitability, and liquidity by simultaneous or partial test have a significant effect on cooperative performance. The effect of the four factors analyzed is very strong, which is in the range of coefficient values of 0.80 - 1.00, and the magnitude of the influence of these four factors on the performance of KSP / KSU in Gowa Regency is 99.80 percent.


Keywords


Cooperative Performance; KSU, Remaining Operating Results (SHU)

Full Text:

PDF

References


Aumarm, R. J. (2016). Acceptable points in general cooperative n-person games. Contributions to the Theory of Games (AM-40), Volume IV, 40, 287.

Creswell, J. W. (2013). Research Design: Qualitative Approach, Quantitative and Mixed. Yogyakarta: Student Library.

Farida, U., Wagiyanto, E., Bustamin, M., & Salam, R. (2017). Analysis of Empowerment Program that was Implemented in Mamuju Regency East Sulawesi Indonesia. 2nd International Conference on Education, Science, and Technology (ICEST 2017).

Galor, Z., & Sofer, M. (2019). The reserve fund: Is it a necessary anchor for a successful cooperative? Journal of Co-Operative Organization and Management, 7(2), 100089. https://doi.org/https://doi.org/10.1016/j.jcom.2019.100089

Hadfield-Menell, D., Russell, S. J., Abbeel, P., & Dragan, A. (2016). Cooperative inverse reinforcement learning. Advances in Neural Information Processing Systems, 3909–3917.

Iliopoulos, C., Värnik, R., Filippi, M., Võlli, L., & Laaneväli-Vinokurov, K. (2019). Organizational design in Estonian agricultural cooperatives. Journal of Co-Operative Organization and Management, 7(2), 100093. https://doi.org/https://doi.org/10.1016/j.jcom.2019.100093

Iskandar, T., & Partadiredja, A. G. (1995). Efisiensi relatif dan distribusi pendapatan petani padi berdasarkan sistem penguasaan lahan usaha tani di Daerah Istimewa Aceh. [Yogyakarta]: Universitas Gadjah Mada.

Jensen-Auvermann, T., Adams, I., & Doluschitz, R. (2018). Trust—Factors that have an impact on the interrelations between members and employees in rural cooperatives. Journal of Co-Operative Organization and Management, 6(2), 100–110. https://doi.org/https://doi.org/10.1016/j.jcom.2018.09.001

Markovic, S., Jovanovic, M., Bagherzadeh, M., Sancha, C., Sarafinovska, M., & Qiu, Y. (2020). Priorities when selecting business partners for service innovation: The contingency role of product innovation. Industrial Marketing Management, 88, 378–388. https://doi.org/https://doi.org/10.1016/j.indmarman.2020.06.001

Masri, S., & Effendi, S. (1995). Metode Penelitian Survai, Edisi Revisi. Jakarta: Pustaka LP3ES Indonesia.

Ning, Q., Tao, G., Chen, B., Lei, Y., Yan, H., & Zhao, C. (2019). Multi-UAVs trajectory and mission cooperative planning based on the Markov model. Physical Communication, 35, 100717. https://doi.org/https://doi.org/10.1016/j.phycom.2019.100717

Pahlavanhoseini, A., & Sepasian, M. S. (2019). Scenario-based planning of fast charging stations considering network reconfiguration using cooperative coevolutionary approach. Journal of Energy Storage, 23, 544–557. https://doi.org/https://doi.org/10.1016/j.est.2019.04.024

Ren, Y., Tian, G., Zhao, F., Yu, D., & Zhang, C. (2017). Selective cooperative disassembly planning based on multi-objective discrete artificial bee colony algorithm. Engineering Applications of Artificial Intelligence, 64, 415–431. https://doi.org/https://doi.org/10.1016/j.engappai.2017.06.025

Rengifurwarin, Z. A., Akib, H., & Salam, R. (2018). Snapshot of public service quality in the center for integrated business service (CIBS), cooperative micro small and medium enterprises (CMSME), Maluku Province, Indonesia. Journal of Entrepreneurship Education.

Schall, L. D., & Haley, C. W. (1980). Introduction to financial management. McGraw-Hill Companies.

Zhang, M., Qi, Y., Wang, Z., Zhao, X., & Pawar, K. S. (2019). Effects of business and political ties on product innovation performance: Evidence from China and India. Technovation, 80–81, 30–39. https://doi.org/https://doi.org/10.1016/j.technovation.2018.12.002

Zhou, P., & Wen, W. (2020). Carbon-constrained firm decisions: From business strategies to operations modeling. European Journal of Operational Research, 281(1), 1–15. https://doi.org/https://doi.org/10.1016/j.ejor.2019.02.050

Zhuang, Y., Huang, H., Sharma, S., Xu, D., & Zhang, Q. (2019). Cooperative path planning of multiple autonomous underwater vehicles operating in dynamic ocean environment. ISA Transactions, 94, 174–186. https://doi.org/https://doi.org/10.1016/j.isatra.2019.04.012


Article Metrics

Abstract view : 255 times | PDF view : 31 times

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Jurnal Ad'ministrare

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.