ABSTRAKMerebaknya internet merupakan dampak dari berkembangnya infrastruktur teknologi informasi. Dari perkembangan tersebut maka muncullah paradigma baru dalam melakukan proses bisnis yaitu dengan menggunakan internet dan infrastruktur teknologi informasi. Proses bisnis yang dilakukan melaui media teknologi informasi dan internet tersebut dikenal dengan sebutan ecommerce. E-commerce merupakan bisnis yang menggunakan ruang virtual sebagi tempat melakukan operasionalmnya. Bebera perusahaan ecommerce tersebut ada yang menyediakan ruang untuk para pelaku usaha lain agar dapat menampilkan produknya di website e-commerce tersebut. Hal tersebut menimbukan terciptanya suatu pasar elektronik yang kita kenal dengan sebutan marketplace . Marketplace merupakan solusi yang tercipta dari pesatnya perkembagan teknologi informasi dan internet yang menggempur industri perdagangan. Dalam marketplace tersebut setiap pelaku usaha dapat menampilkan produknya untuk diperjualkan tanpa perlu repot membangun sistem. Adanya marketplace tersebut sangat menguntungkan para pelaku usaha, terutama usaha kecil dan menengah. Marketplace mempermudah pelaku usaha kecil dan menengah tersebut dalam melakukan operasional. Dengan adanya pasar virtual tersebut maka para pelaku usaha hanya perlu memberikan informasi selengkap -lengkap nya tentang produk yang mereka jual di marketplace seperti informasi produk, harga, pengiriman dan lainlainnya.

Social media has become an inseparable part of everyday life in modern society to make it easier to interact and communicate with each other. The purpose of this study is to review and compare the deep learning methods implemented in the case of detecting fake news from several previous studies, and to get an overview of the corpus or dataset used by previous studies. This research is also to help researchers identify and map the use of deep learning algorithms in cases of detecting fake news. The research method is conducting a literature survey of 12 literatures obtained from the ScienceDirect and IEEE Xplore websites. The collection of literature that has been surveyed is selected based on the year published in 2021 with the topic of research on detection of fake news using a deep learning approach. The results of this study summarize that the strategy to detect fake news can be done with four approaches, based on the content, based on the writing style, based on the distribution pattern, and based on the credibility of the source. The results of this research also show that the Convolutional Neural Network algorithm is a favorite of researchers by appearing 6 times in the literature collection. The next favorite algorithm is Long Short Term Memory which appears in 5 literatures and Bidirectional LSTM which appears in 4 literatures.

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The purpose of this research is to design an online sales website in the fashion field to increase sales at the Fashionku store. The research method used a waterfall method by observing and designing a web-based system, which uses the help of XAMPP software as well as analytical tools using PHP, HTML, and CSS. The research results show that website design for Fashionku online sales. The existence of online websites for Fashionku stores is expected to increase sales. Product innovation, distribution of advertisements, and website appearance with complete features are things that will attract the attention of customers to buy products

Objective – The purpose of this study is the development of integrated information systems and models, developing and developing information systems of zakat, infaq, and shadaqoh (ZIS) which are integrated in the Amil Zakat District / City Institution in West Java, Indonesia. Indonesia's West Java Province has the potential for zakat collection, but it is still not effective. Methodology – This research program was conducted to measure the effect of ZIS information systems on the quality of accounting information as measured by the quality of financial statements, in order to establish a strategy for obtaining muzakki satisfaction in West Java Province. This study will identify the relationship model between them. The research program was conducted in 27 cities/regencies in West Java Province of Indonesia Findings – The research used a series of different research approaches such as structured review and qualitative work with interviews or focus group discussions to develop key factors for the success of information systems and Partial Least Squares Structural Equation Modeling as an analysis method. Novelty – The results of this study indicate that an integrated ZIS information system has an impact on the quality of accounting information measured by the quality of financial statements. Type of Paper: Empirical Keywords: information systems, zakat, infaq, shodaqoh, information. Reference to this paper should be made as follows: Anggadini, S.D; Wahab, D.A; Yunanto, R. 2020. Development of Integrated Zakat, Infaq and Shadaqoh Information System: Evidence in Amil Zakat Institutions, J. Fin. Bank. Review, 5 (1): pp. 23 – 31 https://doi.org/10.35609/jfbr.2020.5.1(3) JEL Classification: E6, H2, H3.