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All Journal Angkasa: Jurnal Ilmiah Bidang Teknologi Science Information System and Technology
Nurcahyani Dewi Retnowati
Institut Teknologi Dirgantara Adisutjipto
Computer Science & IT

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Aplikasi ngresiki untuk pelaporan penumpukan sampah memanfaatkan Global Positioning System (GPS) dan firebase Astika Ayuningtyas; Asih Pujiastuti; Anggraini Kusumaningrum; Nurcahyani Dewi Retnowati; Gabriel Naka Sorateleng
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 13, No 2 (2021): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.376 KB) | DOI: 10.28989/angkasa.v13i2.1075

Abstract

Increasing human productivity accompanied by increasingly advanced developments has an impact on the need for faster and easier communication and data exchange, one of which is using a mobile smartphone. ReResik application is an application that is used to report the accumulation of garbage. Garbage accumulation is a problem that is often encountered, one of which is in Gunungkidul tourism objects, so there needs to be a solution to solve this problem. One solution is to utilize Global Positioning System (GPS) and Firebase technology to create a waste reporting application. The use of GPS can make it easier to report the accumulation of garbage in a place by utilizing geo tagging technology and the complexity of the features found in Firebase provide user convenience both in terms of application development and the use of features in applications that can facilitate reporting and recipients of waste reports. All functions in the ReResik Application run according to design. Tests in the field can show the location of the accumulation of waste with photos sent with the difference in the accuracy of the location where the report of accumulation of waste occurs 1.38 meters from the location point sent by the application. The average data transfer capability of the ReResik Application upload is 1161.8 ms for the reporting section and 1004.2 ms for the cleaning staff. Functional testing of photos uploaded to Firebase has gone through the process of automatically compressing photos with an average value percentage of 61.22% of the uploaded photo size.
Big Data Analysis and Its Utilization for Business Decision-Making Astika Ayuningtyas; Sabil Mokodenseho; Adit Mohammad Aziz; Dwi Nugraheny; Nurcahyani Dewi Retnowati
West Science Information System and Technology Vol. 1 No. 01 (2023): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v1i01.177

Abstract

In today's data-driven business landscape, the analysis of big data has become a pivotal tool for making informed decisions across industries. This research method paper explores the methodologies employed in big data analysis for business decision-making and conducts a bibliometric analysis using VOSviewer to map the scholarly landscape of this field. The systematic literature review identifies key methodologies, including descriptive, predictive, and prescriptive analytics, text analysis, and network analysis. Real-world case studies demonstrate their practical applications in diverse sectors such as retail, finance, healthcare, and more. The bibliometric analysis unveils influential authors, collaborative networks, research clusters, and trends within the academic discourse on big data analysis and business decision-making. By integrating empirical research, systematic review, and bibliometric analysis, this paper offers a comprehensive understanding of the role of big data analysis in shaping contemporary business decisions.
Co-Authors Adit Mohammad Aziz Anggraini Kusumaningrum Astika Ayuningtyas Astika Ayuningtyas Dwi Nugraheny Gabriel Naka Sorateleng Pujiastuti, Asih Sabil Mokodenseho