{"title":"实施系统Otomasi订单指导Pada市场指导平台nusademe","authors":"Muhammad Nanda Jabar Rozaq, U. Y. Oktiawati","doi":"10.52158/jacost.v3i2.364","DOIUrl":null,"url":null,"abstract":"The COVID-19 pandemic has caused the acceleration of digitalization to occur throughout the world in various aspects of life, one of which is in the world of education. The openness of access to learning resources has not been the right solution for humans to learn independently. There are details in the learning process that require the guidance of a teacher called a mentor. In line with this, PT Nusademy Solusi Indonesia (Nusademy) built a marketplace mentoring platform that allows learning to take place in a network between users and mentors. Nusademy provides an opportunity for users to able to choose learning topics and mentors according to their needs. In it, there are steps for mentoring orders, which are currently still being processed manually by the admin every time there is a transaction. So, we need a system that can bridge users with mentors to share benefits without having to depend on admin availability. Python is a programming language that has characteristics suitable for autonomous system development and integration with third-party services. This study aims to create, implement, and test an automated order mentoring system on the Nusademy Web Application which is integrated with the Xendit payment application, the Google Calendar scheduling application, and the Google Hangouts video-conferencing application. The automation system provides automatic services in billing, checking payment status, communication processes between users and admins, communication processes between admins and mentors, creating virtual mentoring rooms, and notification of mentoring agenda reminders. The system is launched on a cloud computing-based server which can enable automatic capacity scaling based on user requests using Google Cloud Run. Testing of the order mentoring automation system is carried out by considering aspects of system capability, system reliability, level of effectiveness, user experience, and business analysis.","PeriodicalId":151855,"journal":{"name":"Journal of Applied Computer Science and Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Implementasi Sistem Otomasi Order Mentoring Pada Marketplace Mentoring Platform Nusademy\",\"authors\":\"Muhammad Nanda Jabar Rozaq, U. Y. Oktiawati\",\"doi\":\"10.52158/jacost.v3i2.364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The COVID-19 pandemic has caused the acceleration of digitalization to occur throughout the world in various aspects of life, one of which is in the world of education. 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引用次数: 1
摘要
2019冠状病毒病大流行加速了世界各地生活各个方面的数字化进程,其中之一就是教育领域。学习资源的开放并不是人类自主学习的正确解决方案。学习过程中有很多细节需要导师的指导。为此,PT Nusademy Solusi Indonesia (Nusademy)建立了一个市场指导平台,允许用户和导师之间的网络进行学习。Nusademy为用户提供了一个机会,可以根据自己的需要选择学习主题和导师。在其中,有指导订单的步骤,这些步骤目前仍由管理员在每次有事务时手动处理。所以,我们需要一个系统,可以桥梁用户与导师分享利益,而不必依赖于管理的可用性。Python是一种编程语言,具有适合自主系统开发和与第三方服务集成的特性。本研究的目的是在Nusademy Web应用程序上创建、实现和测试一个自动订单指导系统,该系统与Xendit支付应用程序、谷歌日历调度应用程序和谷歌Hangouts视频会议应用程序集成。自动化系统提供计费、支付状态检查、用户与管理员通信流程、管理员与导师通信流程、创建虚拟导师室、导师日程提醒通知等自动化服务。该系统在基于云计算的服务器上启动,可以使用谷歌cloud Run根据用户请求自动扩展容量。通过考虑系统能力、系统可靠性、有效性水平、用户体验和业务分析等方面对订单指导自动化系统进行测试。
Implementasi Sistem Otomasi Order Mentoring Pada Marketplace Mentoring Platform Nusademy
The COVID-19 pandemic has caused the acceleration of digitalization to occur throughout the world in various aspects of life, one of which is in the world of education. The openness of access to learning resources has not been the right solution for humans to learn independently. There are details in the learning process that require the guidance of a teacher called a mentor. In line with this, PT Nusademy Solusi Indonesia (Nusademy) built a marketplace mentoring platform that allows learning to take place in a network between users and mentors. Nusademy provides an opportunity for users to able to choose learning topics and mentors according to their needs. In it, there are steps for mentoring orders, which are currently still being processed manually by the admin every time there is a transaction. So, we need a system that can bridge users with mentors to share benefits without having to depend on admin availability. Python is a programming language that has characteristics suitable for autonomous system development and integration with third-party services. This study aims to create, implement, and test an automated order mentoring system on the Nusademy Web Application which is integrated with the Xendit payment application, the Google Calendar scheduling application, and the Google Hangouts video-conferencing application. The automation system provides automatic services in billing, checking payment status, communication processes between users and admins, communication processes between admins and mentors, creating virtual mentoring rooms, and notification of mentoring agenda reminders. The system is launched on a cloud computing-based server which can enable automatic capacity scaling based on user requests using Google Cloud Run. Testing of the order mentoring automation system is carried out by considering aspects of system capability, system reliability, level of effectiveness, user experience, and business analysis.