Implementasi Business Intelligence Menentukan Daerah Rawan Gempa Bumi di Indonesia dengan Fitur Geolokasi

Akbar, Ricky; Darman, R. Djoulde; Marizka, Fnu; Namora, Jesi; Ardewati, Novisa

doi:10.26418/jp.v4i1.25518

Cited by 7 publications

(8 citation statements)

References 1 publication

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“…Furthermore, with the implementation of the Business Intelligence system for the corona virus case, the learning process and decision making can be easily carried out [4]. In developing a business intelligence within a company there are 4 main phases or stages that must be carried out, which include analysis, design, planning, and finally implementation and control [9].…”

Section: A Business Intelligencementioning

confidence: 99%

Implementation of Business Intelligence In Analyzing Data Using Tableau at PT Global Bintan Permata

Guy Ritchie,

Hariyanto

2023

bit-Tech

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PT Global Bintan Permata is member group Yafindo (Batam, Indonesia) which is engaged in the distribution and import goods consumption and goods consumption throughout Indonesia . one _ business being run is distributing sugar _ throughout modern market and delivery some are via transportation and some are done in a manner independent . The target market namely the big modern market like Alfamart , Alfamidi , Indomarco , Indogrosir , Tiptop, and there is also a small modern market like Totalfruits , Grandlucky , etc. _ Of the many transactions made by the company this company _ This Still Not yet own Dashboard application for monitoring activity operations and transactions . So from it is needed something deep data visualization dashboard shape . Method used to data warehouse design is use method kimball nine-step technology. For the Extract, Transform and Load (ETL) process for data warehouse design using tools in the Pentaho Data Integration application , meanwhile For dashboard visualization is done with use the Tableau Public app . Result of application Tableau Public app is form generated data visualization dashboard reports containing information in form the data visualization it consists of from transaction and marketing data in 2021. Dashboard provides information For know How development sale both product and sales are also developing transactions with customers in 2021 later will become base in taking decisions required by management within PT Global Bintan Permata for help in the process of taking decision.

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Section: A Business Intelligencementioning

confidence: 99%

Implementation of Business Intelligence In Analyzing Data Using Tableau at PT Global Bintan Permata

Guy Ritchie,

Hariyanto

2023

bit-Tech

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“…Geographically, Indonesia is located in the Pacific Ring of Fire [7]- [9]. As a consequence of this position, Indonesia has many active volcanoes.…”

Section: Introductionmentioning

confidence: 99%

Aero Mapping Application for Affected Area Detection by the Semeru Volcano Eruption in 2022

Irawan,

Prasetyo,

Yusuf

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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The development of geospatial technology, especially Unmanned Aerial vehicles (UAV) or drones, has been growing rapidly. One of the uses of UAV is to detect disaster hazards, the extent of the affected area, and the element of risks. The latest UAV technology in the form of Aero Mapping is beneficial for mapping disaster-affected areas, in this case, post-volcanic eruption lava flows. Aero mapping with the rotary wing type is low-cost (<$ 2000/Rp.29.500.000) but a potent tool for collecting spatial data quickly and accurately. This application is applied to detect areas affected by volcanic eruptions. The photo image produced by the UAV can be used to analyze lava flows, lava deposits, changes in landforms, and changes in land cover due to volcanic eruptions. This study aims to detect the area affected by the eruption of Semeru Volcano post-eruption in 2022. In the research study area, there is no detailed scale mapping can detect the direction/path of post-eruptive lahars. This research seeks to detail the description of the affected areas. The results of aerial photographs show that low-cost UAVs are capable of producing high-resolution data of up to 2.86 cm/px (Orthomosaic), 6.94 cm/px (DSM), and 3.94 cm/px (GSD) with a total area of up to 755 Ha. This area is obtained from 34 flight processes at an altitude of 120 meters with 70% front and side overlap. These findings prove that aero mapping is a low-cost technique that can be used to map new lava flows after the 2022 eruption at Semeru Volcano.

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“…This is what makes Indonesia vulnerable to earthquakes [6]. The Ring of Fire region brings together three tectonic plates, namely the Indo-Australian Plate, the Eurasian Plate, and the Pacific Plate [7]. Please note, until now there has been no tool that can predict precisely and accurately when an earthquake will occur.…”

Section: Introductionmentioning

confidence: 99%

Natural Language Processing for Unstructured Data: Earthquakes Spatial Analysis in Indonesia Using Platform Social Media Twitter

Nursiyono,

Gibran

2023

iiroi

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As a country who had a high risk affected by the earthquake, social media have an important role. Besides to serving earthquake information, the spread of information on social media is so wide and fast. However, information on social media has a gap to reach validity and doesn't contain detailed information about spatial information. By leveraging crawling result data on Twitter, then data will be processed with Natural Language Processing (NLP), this research aims to proves about transformation of unstructured data into structured data with NLP for use on spatial analysis in Indonesia using data text on platform social media, Twitter. In addition, this research is also aims to reveal correlation between earthquake magnitude and earthquake frequency. The results proves that NLP can be used for spatial analysis with data text on Twitter related to earthquake. Besides that, the value of maximum magnitude are great significance to the earthquake frequency.

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Implementasi Business Intelligence Menentukan Daerah Rawan Gempa Bumi di Indonesia dengan Fitur Geolokasi

Cited by 7 publications

References 1 publication

Implementation of Business Intelligence In Analyzing Data Using Tableau at PT Global Bintan Permata

Implementation of Business Intelligence In Analyzing Data Using Tableau at PT Global Bintan Permata

Aero Mapping Application for Affected Area Detection by the Semeru Volcano Eruption in 2022

Natural Language Processing for Unstructured Data: Earthquakes Spatial Analysis in Indonesia Using Platform Social Media Twitter

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