Abstract
Technological advances seem to have no limit so that its power can penetrate many sectors, one of them is business. On the one hand, the development of financial technology has proven to be of benefit to consumers, business actors and the world economy, but on the other hand it has potential risks that if it does not adequately follow technological developments it could disrupt the financial system. Cooperatives are understood as legal entities that are established based on the principle of kinship and also adheres to the principles of social economy with the aim to improve their members in carrying out dominant transactions using cash, then modelled for the future will rely on cashless and FinTech virtual accounts. So that a new model is formed in the movement of business intelligence that is FinTech-based cooperative society that is able to increase the movement of cooperative society, reduce the operational costs of cooperative society and prosper the community with one mobile device.
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References
Anugerah DP, Indriani M (2018) Data protection in financial technology services (a study in indonesian legal perspective). Sriwij Law Rev 2(1):82. https://doi.org/10.28946/slrev.vol2.iss1.112.pp82-92
Alt R et al (2018) FinTech and the transformation of the financial industry. Electron Mark 28(3):235–243. https://doi.org/10.1007/s12525-018-0310-9
Le T-H et al (2019) Financial inclusion and its impact on financial efficiency and sustainability: empirical evidence from Asia. Borsa Istanbul Rev 19(4):310–322. https://doi.org/10.1016/j.bir.2019.07.002
Syah R, Nasution M, Nababan EB, Efendi S (2020) Optimization model under uncertainty for competitive merchant to customer behavior in financial technology using business metrics. 17(7). https://doi.org/10.1166/jctn.2020.9171
Rusydiana A (2019) How to develop sharia FinTech industry in Indonesia? interpretive structural model (ISM) approach. Al-Muzara’ah 6(2):117–128. https://doi.org/10.29244/jam.6.2.117-128
Luckandi D (2018) Analysis of payment transactions using FinTech at MSMEs in Indonesia. 4
Palmié M et al (2020) The evolution of the financial technology ecosystem: an introduction and agenda for future research on disruptive innovations in ecosystems. Technol Forecast Soc Change 151:119779. https://doi.org/10.1016/j.techfore.2019.119779
Fauzi F, Al-Khowarizmi AM (2020) The e-business community model is used to improve communication between businesses by utilizing. Jite 3(2):252–257
Fang LY et al (20187) Mobile business intelligence acceptance model for organisational decision making. Bull Electr Eng Informat 7(4):650–656. https://doi.org/10.11591/eei.v7i4.1356
Serrano W (2018) FinTech model: the random neural network with genetic algorithm. Proc Comput Sci 126:37–546. https://doi.org/10.1016/j.procs.2018.07.288
Duque HF et al (2018) Neural network model to re-rate and analyze consumer credit for FinTechs support vector machine. In: 13th Iberian conference on information systems and technologies (CISTI), pp 1–6. https://doi.org/10.23919/CISTI.2018.8399366
Syah R, Nasution MK, Elveny M, Arbie H (2020). Optimization model for customer behavior with MARS and KYC system. J Theoret App Inform Technol 98(13)
Gai K et al (2018) A survey on FinTech. J Netw Comput Appl 103:262–273. https://doi.org/10.1016/j.jnca.2017.10.011
Jünger M, Mietzner M (2020) Banking goes digital: the adoption of FinTech services by German households. Financ Res Lett 34:101260. https://doi.org/10.1016/j.frl.2019.08.008
Susilo AZ et al (2019) A comparative study of factors affecting user acceptance of GO-PAY and OVO as a feature of FinTech application. Proc Comput Sci 161:876–884. https://doi.org/10.1016/j.procs.2019.11.195
Iman N (2018) Is mobile payment still relevant in the FinTech era? Electron Commer Res Appl 30:72–82. https://doi.org/10.1016/j.elerap.2018.05.009
Hariyani I (2017) Legal protection and resolution of pm-FinTech service business disputes. J Legis Indones 14(3):345–358
Inkster B et al (2019) Improving insights into health care with data linkage to financial technology. Lancet Digit Heal 1(3):e110–e112. https://doi.org/10.1016/S2589-7500(19)30061-5
Davies E, Lea SEG (1995) Student attitudes to student debt. J Econ Psychol 16(4):663–679. https://doi.org/10.1016/0167-4870(96)80014-6
Q EG (2019) The effect of trust, perceived usefulness, and perceptions of ease of use on intention to behave in adopting financial technology. Universitas Lampung
Arif HFM (2019) Actualization of Zariah reasoning in anticipating crime through financial technology 18(2):848–867
Lee I, Shin YJ (2018) FinTech: ecosystem, business models, investment decisions, and challenges. Bus Horiz 61(1):35–46. https://doi.org/10.1016/j.bushor.2017.09.003
Suprayitno B (2012) Criticism of cooperatives (and their solutions) as a medium to encourage the growth of micro, small and medium enterprises. J Ekon dan Pendidik 4(2):14–35. https://doi.org/10.21831/jep.v4i2.608
Ganitri PT, Suwendra IW, Yulianthini NN (2013) The influence of own capital, loan capital, and business volume on the difference in operating results (SHU) in savings and loans cooperatives. Bisma J Manaj 4(2):105–113
Lubis AR et al (2019) Big data forecasting applied nearest neighbor method. In: ICSECC international conference on sustainable engineering and creative computing: new idea, new innovation, proceedings. https://doi.org/10.1109/ICSECC.2019.8907010
Al-Khowarizmi et al (2020) The effect of a secos in crude palm oil forecasting to improve business intelligence. Bull Electr Eng Informat 9(4):1604–1611. https://doi.org/10.11591/eei.v9i4.2388
Syah R, Nasution M, Nababan EB, Efendi S (2020) Knowledge Acceleration Estimator (KAE) model to customer behavior using business metrics. J Theoret App Inform Technol 98(08)
Castillo AE et al (2020) Management accounting: effect on key factors of competitive success in the cooperative sector. CIRIEC-Espana Rev Econ Publica Soc y Coop 9:119–126. https://doi.org/10.7203/CIRIEC-E.99.14087
Syah R, Elveny M, Nasution MKM (2020) Performance knowledge acceleration optimization with mars to customer behavior in merchant ecosystem. In: 3rd international conference on mechanical, electronics, computer, and industrial technology (MECnIT). Medan, Indonesia, pp 178–182. https://doi.org/10.1109/MECnIT48290.2020.9166604
Nicholls MG et al (2020) Resurrecting New Zealand’s public healthcare system or a charity hospital in every town? Intern Med J 50(7):883–886. https://doi.org/10.1111/imj.14903
Syah R et al (2020) Optimization metrics model: the mobile wallet for merchant ecosystem. J Phys Conf Ser 1566:1. https://doi.org/10.1088/1742-6596/1566/1/012124
Lubis AR et al (2020) Optimization of distance formula in K-nearest neighbor method. Bull Electr Eng Inform 9(1). https://doi.org/10.11591/eei.v9i1.1464
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Al-Khowarizmi, A., Syah, R., Elveny, M. (2022). The Model of Business Intelligence Development by Applying Cooperative Society Based Financial Technology. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 235. Springer, Singapore. https://doi.org/10.1007/978-981-16-2377-6_13
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