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Investment Website: A Way to Increase Local Investors for Indonesian Economy

Published: 19 May 2020 Publication History

Abstract

Indonesia is a potential investment destination and better growth rate as local companies's ownership expansion. Based on data from OJK, Otoritas Jasa Keuangan (Indonesian: Financial Services Authority), in 2019 only 2.1 million investors or 0.79% of total population are in the capital market. Therefore, Indonesia needs a way to encourage and increase local investors. One of them, investment website namely "Review Investasi" as a fulfillment the needs of local investor. The purpose of this paper to find the information of the "Review Investasi" website by propagate surveys and choosing the most important features of three based features. Researchers used the quantitative descriptive method, that are distributing surveys to find how much the benefits of investment websites could increase local investors and the AHP method to find which additional features would be chosen to be developed. As been noted on the result of surveying distribution, 76.5% of respondents want to be investors, 38.2% understand how to invest, and after website content explanation, the respondent who wants to be an investor increased to 85.3%. AHP Method produces important features as three methods recommended: simulation game, online course, and real-time information. From AHP method result, Simulation game (Feature-1) is 42%, Online Course (Feature-2) is 44%, and Real-time information (Feature-3) is 14%. Show that the Online Course (Feature-2) has the highest priority ranking.

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    ICMSS 2020: Proceedings of the 2020 4th International Conference on Management Engineering, Software Engineering and Service Sciences
    January 2020
    301 pages
    ISBN:9781450376419
    DOI:10.1145/3380625
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • China University of Geosciences

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 19 May 2020

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    Author Tags

    1. AHP Method
    2. Investment
    3. Local Investors
    4. Web Design

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    • (2023)Approach to the Impact of Digital Technologies on Sustainability Reporting through Structural Equation Modeling and Artificial Neural NetworksElectronics10.3390/electronics1209204812:9(2048)Online publication date: 28-Apr-2023

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