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All Journal Jurnal Teknologi Sistem Informasi dan Aplikasi International Journal of Economics (IJEC)
Akbar, Faris
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Computer Science & IT Economics, Econometrics & Finance

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Use of Akulaku Paylater in Islamic Economics (Study on Students of Sharia Economics Study Program, Faculty of Islamic Economics and Business, Sulthan Thaha Saifuddin State Islamic University, Jambi) Kunnuzi , Kunnuzi; Akbar, Faris; Astuti, Amanda Febri; Subhan, Muhammad; Aprillia, Pita; Iqbal, Muhammad; Nofriza, Eri
International Journal of Economics (IJEC) Vol. 3 No. 2 (2024): July-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijec.v3i2.966

Abstract

This research aims to explore how people in the Islamic economy feel about the Akulaku app's PayLater feature. And to get a breakdown of how Akulaku PayLater is being utilised. The methodology of this study is qualitative. This research uses observation, interviews, and documentation to gather information. While data visualisation and reduction are used for analysis. According to the findings of this research, Akulaku users can benefit from the convenience of Akulaku PayLater's on-time payment options by taking advantage of the company's bailout funds. Akulaku PayLater continues to impose unnecessary costs on its customers by charging interest on past due balances and other fees with every purchase. The Qardh and Prohibition of Transactions in the Islamic economy state that akulaku PayLater is not permitted because it contains elements that are detrimental to the user, so the app's use is prohibited if it is banned in the Islamic economy.
Penerapan Chatbot Auto Reply pada Telegram terhadap Pengembangan Bisnis Penjualan Sepatu Menggunakan Artificial Intelligence Markup Language Fransisco, Fransisco; Akbar, Faris; Kurniasari, Sischa; Hibban, Muhammad Ibnu; Desyani, Teti; Nirmala, Endar
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 5 No. 2 (2022): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v5i2.14733

Abstract

The imbalance in the number of workers and customer demand is a problem that must be faced by business actors today. With a chatbot, it can help business people handle thousands of chats from customers who want to ask about sales products. Chatbots can also save on operational costs and provide 24/7 active service. Indirectly this can provide customer connection to the store. Therefore, this study will discuss the Application of the Auto Reply Chatbot on Telegram to the Development of a Shoe Sales Business Using Artificial Intelligence Markup Language. This system involves a shoe sales information system website as a medium to provide services to customers related to sales information. And a chatbot that implements an AIML (Artificial Intelligence Markup Language) system as a virtual assistant that connects customers and information from the database. Where this chatbot will respond to conversations submitted by customers, besides that it can also retrieve data in the form of information in sales data. The system which is designed using the Javascript, PHP, Python, PDO, and MySQL programming languages as the database.System testing will show that the sales information system website is functioning properly in managing (Create, Read, Update, Delete) customer data, stock of goods, goods sold and other data, while the Chatbot test shows that the program can respond via the Telegram application, starting from messages asking for stock, item prices or requesting information from the database.
Co-Authors Aprillia, Pita Astuti, Amanda Febri Endar Nirmala Fransisco, Fransisco Hibban, Muhammad Ibnu Kunnuzi , Kunnuzi Kurniasari, Sischa Muhammad Iqbal Muhammad Subhan Nofriza, Eri Teti Desyani