Data Visualization of Environmental Factors in Poultry Farm

Bachtiar, Adam Mukharil; Dharmayanti, Dian; Imammulloh, M

doi:10.1088/1757-899x/407/1/012120

Cited by 2 publications

(5 citation statements)

References 4 publications

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“…Secondary data include the map of road network of Padang City from Google Map, then wind speeds and wind directions from the Meteorology Climatology and Geophysics Agency (BMKG) Padang City for years 2012-2016 for detecting the wind angle reference point of zero degrees, then used for representing wind coming angle to road (α). Then, traffic characteristics, CO concentrations and wind speeds from [8] for modelling of CO concentrations based on wind coming angle direction. The wind coming angle to road (α) for modelling can be seen in Figure 1, were that conducted on A.Yani Road (α = 0), Andalas Road (α = 30) and prof. Dr. Hamka Road (α= 60).…”

Section: Secondary Data Collectionmentioning

confidence: 99%

“…Beside that, pollutant concentration also effected by dynamics of wind strength and wind direction [16]. According to [8], wind coming angle directions (α) influence the amount of CO concentration in the roadside area. CO concentration based on traffic volume decreased by 27.09% from α 90° to α 60°, 37.77% from α 90° to α 30° and α 90° to 0° by 64.62%.…”

Section: Co Concentrations Model Based On the Wind Coming Angle Direcmentioning

confidence: 99%

“…CO concentration based on traffic volume decreased by 27.09% from α 90° to α 60°, 37.77% from α 90° to α 30° and α 90° to 0° by 64.62%. Meanwhile, based on traffic density, CO concentration decreased by 22.95% from α 90° to α 60° , 38,61% from α 90° to α 30° and by 65,50% from α 90° to 0° [8]. Based on the data of traffic characteristics and meteorological conditions by [8], statistical model of CO concentration is resulted as model 1.…”

Section: Co Concentrations Model Based On the Wind Coming Angle Direcmentioning

confidence: 99%

“…Some study of CO concentration on the roadside in Padang City were conducted [7]. Furthermore, [8] monitored the influence of the dominant wind direction on CO dispersion on roadside area in Padang City. In this study, modelling of set of data from [8] were developed to get CO concentrations model based on wind coming angle direction on the roadside and validated the model.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, [8] monitored the influence of the dominant wind direction on CO dispersion on roadside area in Padang City. In this study, modelling of set of data from [8] were developed to get CO concentrations model based on wind coming angle direction on the roadside and validated the model. This research aims to model and validate the effect of wind angle to the road, toward CO concentration in the roadside area.…”

Section: Introductionmentioning

confidence: 99%

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Validation of CO dispersion model due to the road position on the dominant wind direction on transport sector

et al. 2018

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This study aims to validate CO dispersion model due to the position of the road toward the dominant wind direction on the transport sector. Sampling for modelling was done on the road with the road angle to wind direction is 0 degree (Jend. A. Yani Road), 30 degree (Andalas Road) and 60 degree (Prof. Dr. Hamka Road). CO dispersion model was obtained from the relations between CO concentration with traffic volume, traffic speed, wind speed and dominant wind direction. Sampling for validation was done at three location points, i.e. Jend. Ahmad Yani Road, By Pass Road and Dr. Wahidin Road, each of which has a position of 0, 45 and 90 degrees toward dominant wind direction. Sampling for CO was done using impinger. Measurement of traffic characteristics and meteorological conditions was performed in conjunction with CO sampling. Validation test was done by using Pearson Product Moment formula and Test of Two Variance. Results of the Two-Variance Test showed no significant difference between two concentrations of CO model and CO measurement. It showed the Test Ratio (RUf) smaller than the Critical Point. Validation test using Pearson Product Moment showed that the CO model can be used for predicting CO dispersion.

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Section: Secondary Data Collectionmentioning

confidence: 99%

Section: Co Concentrations Model Based On the Wind Coming Angle Direcmentioning

confidence: 99%

Section: Co Concentrations Model Based On the Wind Coming Angle Direcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Validation of CO dispersion model due to the road position on the dominant wind direction on transport sector

et al. 2018

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Implementation of Business Intelligence in Data and Information for Student Admission Process in Mulia University

Mirwansyah¹,

Riyayatsyah²,

Sari³

2021

J. Phys.: Conf. Ser.

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Mulia University is a private university that carries the slogan “Global Technopreneur Campus” with a total of 1631 students per August 2019. Mulia University has two campuses for learning support. The first one is Balikpapan Main Campus, and the other one is Samarinda Campus. The data to be used in this research is a prototype. Then, will be analyzed by Business Intelligent. Business intelligence is a series of processes to get information easily from large and complex data. In this research has been conducted two stages of analysis, which is data collection techniques and data analysis techniques on prospective student data. The application that is used in this research is Microsoft Power Business Intelligence. By using Microsoft Power Business Intelligent, it is expected to simplify the management of student admission reports, as well as decision making and to determine future strategies. The results of this research are data visualization information reports about student admission.

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Data Visualization of Environmental Factors in Poultry Farm

Cited by 2 publications

References 4 publications

Validation of CO dispersion model due to the road position on the dominant wind direction on transport sector

Validation of CO dispersion model due to the road position on the dominant wind direction on transport sector

Implementation of Business Intelligence in Data and Information for Student Admission Process in Mulia University

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