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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences
Amelia Hani
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Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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The Application of Prediction Data Miningbed Occupancy Rate of Covid-19 Patients in West Java Amelia Hani; Ayi Ratna K; Cristina Juliane
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 2 (2022): Budapest International Research and Critics Institute May
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i2.4671

Abstract

The Covid-19 pandemic in 2020 is a complex health problem and requires fast handling. Covid-19 patients who receive treatment in hospitals have different conditions and severity. This affects the handling actions that will be carried out by medical officers. The large number of patients and the lack of medical personnel and the availability of beds have resulted in the need for technological support to help predict the status of patient bed availability based on their condition so that treatment is concentrated on patients who are very critical and require rapid treatment. This research applies prediction techniques from data mining disciplines to predict a spike or decrease in BOR (Bed Occupancy Rate). Prediction using the C4 algorithm. 5 was applied to build a model based on the Covid-19 bed availability dataset. The Covid-19 BOR (Bed Occupancy Rate) dataset in West Java was obtained from Opendata.jabarprov.go.id and applied using Rapid Miner. The model built can predict the status of bed availability based on the occupancy of the patient's hospitalization. The results of this study indicate that predictions using the C4.5 Algorithm method have a high level of accuracy of %.
PERANGKAT LUNAK PENDISTRIBUSIAN GAS LPG MENGGUNAKAN METODE ZACHMAN DAN METODOLOGI SCRUM amelia hani
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 3 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i3.2357

Abstract

ABSTRACT The demand for LPG gas distribution from suppliers to gas agents in Indonesia are increasing. Many of the suppliers, which one of them is PT. Bhakti Mingasutama complained that this increase in demand affected the performance and effectiveness of gas distribution to the Agent. The lack of the role of information technology that is applied in the process of LPG gas distribution in PT. Bhakti Mingasutama as the supplier made many things hampered such as lack of monitoring or monitoring of LPG gas sales and delivery data to agents, LPG gas ordering was still done manually by means of the agent visiting the Supplier and recording transactions carried out by the sales supplier manually. This is what underlies the research to build a system that can facilitate Suppliers and Agents in buying, selling, managing sales and distribution data, sending or taking LPG gas without needing to spend more time making transactions. By using the Zachman Framework method to support the analysis of data requirements and the requirements for making the system as well as the Scrum methodology to help manage the system work timeline, this system is expected to be beneficial for both parties in gas distribution, especially in the North Jakarta area. Keywords: Gas Distribution, Zachman Framework, Scrum Methodology
Co-Authors Ayi Ratna K Cristina Juliane