scholarly journals Implementasi Data Mining Untuk Menentukan Pola Penyebab Kecelakaan Lalu Lintas Di Wilayah Kota Palembang Menggunakan Algoritma FP-Growth

2020 ◽  
Vol 1 (2) ◽  
pp. 97-109
Author(s):  
Fathan Pangestu ◽  
Andri Andri
Keyword(s):  
Data Mining ◽  
Traffic Accidents ◽  
Weather Conditions ◽  
Minimum Support ◽  
City Area ◽  
Road Geometry ◽  
Sunny Weather ◽  
Motorized Vehicles ◽  
The City ◽  
Confidence Value

Palembang City is one of the big cities in Indonesia. Along with the increasing population and the increasing number of motorized vehicles, it will certainly have an impact on the increasing number of traffic accidents in the city of Palembang. In this study, the writer will determine the pattern of traffic accidents by using the fp-growth algorithm and using various variables. The variables that will be used consist of weather, time of incident, road geometry, profession, level of injury. This research is expected to be a reference for the police to be able to take anticipatory measures in order to reduce the number of traffic accidents in the Palembang City area. The fp-growth algorithm can be applied properly to determine the pattern of the causes of traffic accidents in the city of Palembang by using 2 minimum support of 40% and 50% and 2 minimum confidence of 70% and 90%. Based on the resulting rules, there are rules with the highest confidence value of 98% with these rules: When an accident occurs with a Side-Side accident type, the accident occurs in sunny weather conditions

scholarly journals Penerapan Metode Data Mining Pada Point of Sale Berbasis Web Menggunakan Algoritma Apriori

2021 ◽  
Vol 5 (3) ◽  
pp. 1158
Author(s):  
Adam Firmansyah ◽  
M Iwan Wahyudin ◽  
Ben Rahman
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Association Rule ◽  
A Priori ◽  
Point Of Sale ◽  
Minimum Support ◽  
Confidence Value

To be able to understand which products have been purchased by customers, it is done by describing the habits when customers buy. Use association rules to detect items purchased at the same time. This study uses an a priori algorithm to determine the association rules when buying goods. The results of the study and analyzing the data obtained a statement that using the a priori algorithm to select the combined itemset using a minimum support of 25% and a minimum confidence of 100%, found the association rule, namely, if the customer buys at the same time. Buying goods has the highest value of support and trust. Likewise with the support value of 25%, the confidence value is 100%. In this way, if a customer buys an item, the probability that the customer buys the item is 100%

scholarly journals Market Basket Analysis as a Support Tool for The Management of Public Transport

2014 ◽  
Vol 37 (1) ◽  
pp. 219-237
Author(s):  
Dorota Sokołowska
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Public Transport ◽  
Analysis Method ◽  
Market Basket Analysis ◽  
Support Tool ◽  
Market Basket ◽  
City Area ◽  
Communication Lines ◽  
The City

Abstract The aim of this paper is to characterize a non-standard use of the method of market basket analysis in one of the areas of economy, i.e. public transport. Generally, one of the aims of the market basket analysis method is associating the consumer's market basket – in the case of public transport this being the choice of bus stops in the city area made by passengers. Owing to a new, practical use of this method, it was possible to build an efficient model characterizing the movement of flows of public transport passengers, and assess the degree of transferring (changing lines), thus making it possible to adapt the routes of buses to the needs of people using this particular means of transport, as well as to plot new communication lines. The data analysis was performed using the Statistica statistical package and its SAL application, i.e. the algorithms used in Data Mining.

scholarly journals Penerapan Data Mining Korelasi Penjualan Spare Part Mobil Menggunakan Metode Algoritma Apriori (Studi Kasus: CV. Citra Kencana Mobil)

2021 ◽  
Vol 1 (2) ◽  
pp. 83-90
Author(s):  
Amenta Ovilianda Br Ginting
Keyword(s):  
Data Mining ◽  
Spare Part ◽  
Spare Parts ◽  
Apriori Algorithm ◽  
Process Information ◽  
Customer Data ◽  
Transaction Data ◽  
Minimum Support ◽  
Confidence Value ◽  
Data Mining Application

By utilizing customer data that has been stored in the database, the management can find out how the current sales system is less efficient, therefore a system is needed to process information data more quickly and accurately in increasing sales of car spare parts using the Data Mining application. The Apriori Algorithm method that works by searching for and finding associated patterns among the products being marketed, so that later it can help companies improve the associated items. And with the sales transaction data, the company can know better how they should increase the spare part stock in the company. From the results of testing the sale of car spare parts with 589 data, it was found that 81 rules were formed and the highest Best Rule was obtained and a minimum support value of 1% and a confidence value of 11% If the type of car is Avanza / Xenia and the brand is Toyota, the spare parts used are filters. Air. With supporting spare parts in the database of 1% and certainty of spare parts of 11.

scholarly journals Combination, Pola, Apriori ANALISIS POLA BELANJA KONSUMEN MENGGUNAKAN ALGORITMA APRIORI PADA RAFFA PHOTOCOPY

2019 ◽  
Vol 2 (2) ◽  
pp. 63-73
Author(s):  
Nurul Azwanti
Keyword(s):  
Data Mining ◽  
Association Rule ◽  
Apriori Algorithm ◽  
Transaction Data ◽  
Minimum Support ◽  
Association Pattern ◽  
Using Data ◽  
Confidence Value

Raffa Photocopy is a shop that started its business in 2016. This business not only provides photocopy services, but also provides office stationery and school supplies. Every day there are sales transactions where the recording of goods sold has a relationship between one another, because in recording sometimes consumers do not just buy one item, but two items even more as when buying a book, it is likely that consumers also buy a pen. This recording is only stored as an archive by Raffa Photocopy, even though the number of sales transactions that occur every day can lead to a pile of data. One effort to increase sales at Raffa Photocopy can be done by processing transaction data that overlaps by using data mining association techniques. This association rule technique uses the Apriori algorithm which deals with the study of 'what is with what' or discovers the association pattern of items that are often bought. The results of this study in the form of rules include the first, if you buy an eraser, it is likely that consumers also buy notebooks simultaneously. Second, if you buy Tipex, then consumers also buy a double folio. The results of the Apriori algorithm process are based on a minimum support value of 35% and a minimum confidence value of 80%.

scholarly journals Control of Rough Harvester Ants in Low Water-Use Urban Parks, New Mexico, 1994

1996 ◽  
Vol 21 (1) ◽  
pp. 390-390 ◽  
Author(s):  
Charles R. Ward ◽  
Damon McGinn ◽  
Suzanne Walters ◽  
Dawn Van Leeuwen
Keyword(s):  
Urban Forest ◽  
Weather Conditions ◽  
Harvester Ants ◽  
Forest Park ◽  
Small Plot ◽  
Sunny Weather ◽  
Entrance Hole ◽  
Ant Control ◽  
The City ◽  
Ant Mounds

Abstract Rough harvester ant control was evaluated in an urban forest park in the city of Albuquerque. Treatments were randomized within blocks and replicated 4 times. Ant mounds were checked for activity, selected and marked, and counts made of active ants on and in the clear area of each mound prior to treatment. Treatments were made on 2 June under sunny weather conditions while ants were active (7:30-11:30 a.m.). Broadcast granular treatments were made by applying measured amounts to a 100 ft2 area around each mound with an Ortho® Whirly-Bird® granular applicator. The broadcast spray treatment was applied with a CO2 pressured back-pack, small-plot sprayer with 6 X-4 tips spaced 20 inches apart. At 60 psi and 4 mph the sprayer delivered 5.63 gal of finished spray per acre. However, the 10 ft by 10 ft (100 ft2) area around each plot was sprayed in each direction to give a spray volume of 11.3 gal per acre. Dry Mound (M) treatments were made by sprinkling measured amounts of each form on the mound area around the entrance hole only. The Orthene 75SP mound drench was applied in 3.78 liters of water sprinkled over a 0.37 m2 area around the center of each mound.

scholarly journals Biometeorological influence on motorcyclists and bicyclists trauma

2011 ◽  
Vol 139 (3-4) ◽  
pp. 185-191 ◽  
Author(s):  
Vladimir Gajic ◽  
Dragan Milojevic ◽  
Aleksandar Raskovic ◽  
Jasminka Smailagic ◽  
Nela Djonovic ◽  
...  
Keyword(s):  
Traffic Accidents ◽  
Great Influence ◽  
Weather Conditions ◽  
Movement Coordination ◽  
Severe Injuries ◽  
Street Crossing ◽  
Cold Fronts ◽  
Warm Weather ◽  
The Republic ◽  
The City

Introduction. Biometeorological circumstances have great influence on all traffic participants, especially on reflexes, movement coordination and perception ability, increasing the number of accidents. Motocyclists and bicyclists are specific participants in traffic, so their traumatism has its own special characteristics. Objective. The aim of this study was to establish biometeorological influence on motorcyclists and bicyclists accidents. Methods. Comparative analysis of everyday biometeorological phases for the city of Kragujevac determinated by the Republic Hydrometeorological Service of Serbia and motorcyclists and bicyclists accident evidence received from Kragujevac traffic police for the period 2004-2008. Results. There were 5,180 traffic accidents in this period, with 180 accidents in which 77 motorcyclists and 116 bicyclists were knocked down. Most of the accidents were in 2008 (53) and the least in 2005 (28). Most accidents occurred during August (28) and between 19.00 and 20.00 hours (18). There were no accidents during January, between 04.00 and 06.00 hours. There were 85% accidents in the urban area. Most of 169 males were aged 16-20 and 21-25 years (20 and 21). Most of 24 females (6) were aged 11-15 years. Those who caused the accident mostly sustained injuries due to improper speed limit (31), while the victims due to the disrespect of street-crossing priorities (32). Forty-one motorcyclists and 85 bicyclists suffered mild body injuries. Thirty-one motorcyclists and 27 bicyclist suffered severe injuries. Five motorcyclists and four bicyclists ended lethally. Most accidents happened in biometeorological phases 9 (63), 4 (32) and 1 (31). Conclusion. Statistical analysis showed a significant correlation between accidents and biometeorological phases, with most accidents occurring during stabile warm weather and rapid penetrations of cold fronts, and with a sudden switch of weather conditions.

scholarly journals ANALISIS KECELAKAAN BERLALU LINTAS DI KOTA JAKARTA DENGAN MENGGUNAKAN METODE K-MEANS

2019 ◽  
Vol 5 (1) ◽  
pp. 139-144 ◽  
Author(s):  
Esty Purwaningsih
Keyword(s):  
Traffic Accidents ◽  
Clustering Method ◽  
Property Damage ◽  
City Area ◽  
Minor Injuries ◽  
Serious Injuries ◽  
The City

In the city area of Jakarta, accidents in traffic enter problems that almost often occur at any time. Not a few victims suffered property damage, but victims also suffered minor injuries, serious injuries and even lost their lives. To analyze the number of accident incidents in traffic around the Jakarta city area which took casualties, researchers used a clustering method with the K-Means algorithm which was processed through rapidminer software. From the clustering of traffic accidents data obtained the level of accuracy in clusters 1 and 2 with the same accuracy that is equal to 20%, while cluster 3 gets an accuracy value of 10%

scholarly journals An Assessment of the Climatic Characteristics and Their Impact on the Traffic Accidents in the City of Ramadi

2021 ◽  
Vol 58 (1) ◽  
pp. 5088-5095
Author(s):  
Dr. Mohanad abed Hammad, Dr. Ammeer Mohammed Khalaf, Abd Ul RAzzaq Mohammed Jabbar
Keyword(s):  
Traffic Accidents ◽  
Weather Conditions ◽  
Dust Storms ◽  
Climatic Data ◽  
Direct Impact ◽  
Traffic Stream ◽  
Bad Weather ◽  
The Impact ◽  
The City ◽  
Climatic Characteristics

The facets of the climate have a great impact on the traffic of different means of transportation as long as  bad weather conditions usually reduce the density of the transportation, especially on the land roads, while good conditions help to increase the use of the land roads. The climatic characteristics have a direct impact on the occurrence of the traffic accidents for the increase in the amount of rain, the fog and the intensity of fog  are all responsible factors for impeding traffic stream. This study aims at identifying the effect of the climatic characteristics on the traffic accidents in the Ramadi city through the climatic data and trying to find out the impact of each element on climatic ones on the  traffic stream in the study area. This study also aims at reducing the impact of the climate in the traffic accidents in Ramadi city via finding some treatments to reduce the impact of the climatic characteristics in the occurrence of traffic accidents. The study comes up with that all the climate elements: rain, dust storms and fog have a direct effect on the occurrence of a number of accidents in the study area.

scholarly journals Relationships Between External Factors and Pedestrian Accident Blackspots – A Case Study of the City of Zagreb

2019 ◽  
Vol 31 (3) ◽  
pp. 329-340 ◽  
Author(s):  
Mario Ćosić ◽  
Ljupko Šimunović ◽  
Marijan Jakovljević
Keyword(s):  
Traffic Accidents ◽  
Weather Conditions ◽  
Urban Environments ◽  
External Factors ◽  
Road Accidents ◽  
Pedestrian Accident ◽  
Political Challenge ◽  
Pedestrian Infrastructure ◽  
The Impact ◽  
The City

Traffic accidents represent a social, health and political challenge in every country. Urban environments are characterized by intense traffic flows on the network, where different conditions resulting in interactions between motorised and non-motorised transport constantly occur, potentially increasing the risk of accidents. Although road accidents are considered as random events in space and time, a highly detailed analysis may establish correlations between road accidents and external factors (road infrastructure, traffic conditions, weather conditions, land use). This paper considers the impact of external factors on road accidents involving pedestrians in the City of Zagreb, which required an analysis of accident blackspots. The research conducted in this paper puts an emphasis on relations between external factors and accident blackspots involving pedestrians. The results can be used in planning pedestrian infrastructure and improving road safety.

Skull and Face Injuries and Associated Factors in Pedestrian Victims of Traffic Accidents: A Single Trauma Center Analysis

2020 ◽  
Vol 2 (1) ◽  
pp. 53-59
Author(s):  
Josimara A. de Araújo Varela ◽  
Tatiana F.T. Palitot ◽  
Smyrna L.X. de Souza ◽  
Alidianne F.C. Cavalcanti ◽  
Alessandro L. Cavalcanti
Keyword(s):  
Medical Records ◽  
Associated Factors ◽  
Traffic Accidents ◽  
Age Group ◽  
Chi Square ◽  
Cross Sectional ◽  
Significance Level ◽  
The Face ◽  
Chi Square Test ◽  
The City

Objective: This study aimed to analyze the presence of lesions in the skull and face and the associated factors in pedestrian victims of traffic accidents. Methods: A cross-sectional, descriptive-analytical study carried out through the analysis of medical records of pedestrian victims of traffic accidents in an emergency service in the city of Campina Grande, Brazil, during the year of 2016. Information was collected regarding gender, age group, day of the week, time of the accident, type of vehicle involved, presence of trauma to the skull and face, and outcomes. The Chi-square and Fisher's Exact tests were used, with a significance level of 5%. Results: A total of 1,884 medical records were evaluated, out of which 7.1% (n = 133) involved pedestrians. Men were the most frequent victims (68.4%), and victims of age 60 years old or over (30.5%) predominated. Almost one-third of the cases were recorded during the weekends (30.5%), and the most prevalent time was at night (52.7%). Regarding the type of vehicle involved, motorcycles predominated (47.4%). Head trauma was present in 37.6% of victims, while facial injuries corresponded to 8.2%. In 12% of cases, the victims died. The variables of gender, age group, occurrence on weekends, and trauma to the face showed a statistically significant association with the occurrence of traffic accidents (Chi-square test; p<0.05). Conclusion: Among pedestrian victims of traffic accidents, there is a predominance of men aged 65 years or over. Accidents are frequent at night, and motorcycles are the main vehicles involved. The presence of trauma to the skull and face regions is high.

Sign in / Sign up

Export Citation Format

Share Document