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All Journal Aptisi Transactions on Management IAIC Transactions on Sustainable Digital Innovation (ITSDI) Startupreneur Business Digital (SABDA Journal) Blockchain Frontier Technology (BFRONT)
Ayu Sanjaya, Yulia Putri
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Library & Information Science Materials Science & Nanotechnology

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Utilizing Digital Marketing As A Business Strategy: Utilizing Digital Marketing As A Business Strategy Bintaro, B.P. Kusumo; Sokibi, Petrus; Amsyar, Izwan; Ayu Sanjaya, Yulia Putri
Startupreneur Business Digital (SABDA Journal) Vol. 1 No. 1 (2022): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1136.628 KB) | DOI: 10.33050/sabda.v1i1.79

Abstract

With the advancement of information technology has grown so rapidly. One form of development that can be seen in the existence of a platform that connects one another or what can be said is social media. Instagram, Facebook, Twitter and Tiktok are examples of social media that are the most popular platforms. Starting from children to adults all use social media[1]. With this, social media has become a concern for business people. Now, almost all business people do not hesitate to market their products or services through social media. On that basis, this article was written. The goal is to see how digital marketing is useful in today's business strategy.
Enhancing Machine Learning with Low-Cost P M2.5 Air Quality Sensor Calibration using Image Processing Rahardja, Untung; Aini, Qurotul; Manongga, Danny; Sembiring, Irwan; Ayu Sanjaya, Yulia Putri; Rahardja.,M.T.I.,MM, Dr. Ir. Untung
APTISI Transactions on Management (ATM) Vol 7 No 3 (2023): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i3.2062

Abstract

Low-cost particulate matter sensors, due to their increased mobility compared to reference monitors, are transforming air quality monitoring. Calibrating these sensors requires training data from reference monitors, which is traditionally done through conventional procedures or by using machine learning techniques. The latter outperforms traditional methods, but still requires deployment of a reference monitor and significant amounts of training data from the target sensor. In this study, we present a cutting-edge machine learning-based transfer learning technique for rapid sensor calibration with Co-deployment with reference monitors is kept to a minimum. This approach integrates data from a small number of sensors, including the target sensor, reducing the dependence on a reference monitor. Our studies reveal that In recent research, a transfer learning method using a meta-agnostic model has been proposed, and the results proved to be much more effective than the previous method. In trials, calibration errors were successfully reduced by up to 32\% and 15\% compared to the best raw and baseline observations. This shows the great potential of transfer learning methods to increase the effectiveness of learning in the long term. These results highlight the potential of this innovative transfer learning technique for rapidly and accurately calibrating low-cost particulate matter sensors using machine learning.
Blockchain ​​and Smart Contract Applications Can Be A Support For Msme Supply Chain ​​finance Based On Sharia Crowdfunding Ayu Sanjaya, Yulia Putri; Akhyar, Musthofa Ainal
Blockchain Frontier Technology Vol. 2 No. 1 (2022): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v2i1.108

Abstract

Financial supply chain (Supply Chain Finance/SCF) is a hot topic in supply chain management research (Supply Chain Management). SCF's goal is to diversify funding sources from companies with limited capital and be able to improve financial efficiency throughout the company's supply chain network. SCF has become a source of short-term funding for thousands of micro, small and medium enterprises (MSMEs). The current research on SCF still uses a conventional financial framework, and no SCF research uses an Islamic financial framework. This study aims to develop an SCF framework and system based on Islamic sharia principles in the form of a sharia crowdfunding platform using blockchain technology and smart contracts. The system design produced by this research uses smart contracts that are run using the Ethereum protocol to prevent fraud/embezzlement and improve the security system on the planned platform, according to blockchain characteristics, which are very difficult to take over.
Information Decentralization in the Digital Era: Analysis of the Influence of Blockchain Technology on E-Journal Applications Using SmartPLS Faturahman, Adam; Rahayu, Sri; Triyono; Wijaya, Surta; Ayu Sanjaya, Yulia Putri
Blockchain Frontier Technology Vol. 4 No. 1 (2024): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v4i1.497

Abstract

This research explores the latest in information decentralization using blockchain technology in e-journal applications. Using a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach via SmartPLS, this research integrates variables such as Data Security (KD), Information Transparency (IT), and User Participation (PP) to measure the direct and indirect influence ofblockchain technology . Data was collected from 250 respondents consisting of researchers, developers and end users of e-journals. Analysis shows that Data Security (KD) plays an important role in increasing Information Transparency (IT) with a path coefficient value of 0.75. Furthermore, Information Transparency (IT) significantly influences User Participation (PP) with a pathcoefficient value of 0.65. These results suggest that blockchain implementation not only improves data security, but also facilitates greater transparency, which in turn increases user participation in e-journals. This research makes an important contribution to the literature by showing how specific variables can be leveraged to optimize the application of blockchain technology in the context of e-journals.
Web-Based Temperature, Oxygen Saturation, and Heart Rate Monitoring System Richa Rachmawati, Yuli Yessy; Ayu Sanjaya, Yulia Putri; Edilia, Stevany
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 4 No 1 (2022): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v4i1.567

Abstract

Heart rate and oxygen saturation is a tool designed to measure heart rate, oxygen level, and body temperature without any contact with the human body. It is mainly used to assess primary health conditions. Symptoms resulting from a heartbeat are abnormal conditions of tachycardia and bradycardia. Symptoms caused by oxygen levels are ARI and asthma, an irregular breathing condition. Symptoms of an abnormal heart rate and oxygen saturation may indicate disease. Therefore, we created a web-based heart rate and oxygen saturation monitoring system for this study. IoT (Internet of Things) is used to manufacture this tool. This tool is programmed with sensors such as the AMG8833 sensor, the MAX30102 sensor, and the ESP32 microcontroller as a data processor, and the data is sent via a Wi-Fi connection to be read from the sensor. Wirelessly to your website in real-time. The website displays sensor data sent wirelessly from the microcontroller and then stored in a web server database. This data collection or monitoring system makes it easier for us, especially medical personnel, to check the health and analyze the results of data stored in our web server database.
Co-Authors Akhyar, Musthofa Ainal Amsyar, Izwan Bintaro, B.P. Kusumo Danny Manongga Edilia, Stevany Faturahman, Adam Irwan Sembiring Petrus Sokibi, Petrus Qurotul Aini Rahardja.,M.T.I.,MM, Dr. Ir. Untung Richa Rachmawati, Yuli Yessy SRI RAHAYU Triyono Untung Rahardja Wijaya, Surta