scholarly journals EVALUASI PELAPORAN KAMSELTIBCAR LANTAS DALAM MENDUKUNG PELAPORAN DEKADE AKSI KESELAMATAN JALAN

2019 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Nunung Nuring Hayati ◽  
Ni Nyoman Suartini ◽  
Achmad Wicaksono ◽  
Ike Fibriani ◽  
Mirtha Firmansyah ◽  
...  
Keyword(s):  
Data Mining ◽  
Road Safety ◽  
Road Transport ◽  
Public Knowledge ◽  
Traffic Law ◽  
Using Data ◽  
Two Parameters ◽  
Self Protection ◽  
The Relationship ◽  
Made In

Kamsebtibcar Lantas or secure, safety, orderliness, and fluency of traffic are made in support of road safety actions reporting on traffic due to the lack of public knowledge about the importance of using self-protection tools that have been determined in traffic law number 22 of 2009 concerning traffic and road transport. By using this program, you can find out the relationship between the factors that cause accidents. From those collected from various regions in East Java, taken from 2016 to 2018. The data obtained can be processed using data mining techniques. This technique works by using a pattern that is a reference for decision making. By using the Fp-Growth algorithm that works with the data tree system to find out the patterns of reporting activities that are happening, this pattern is determined by two parameters, namely support (support value) and confidence (certainty value). With this system, it can help the parties concerned to improve facilities in various Kamseltibcar Lantas reporting activities. Kamsebtibcar lantas atau keamanan, keselamatan, ketertiban, dan kelancaran lalu lintas dibuat dalampedalam mendukung pelaporan aksi keselamatan jalan pada lalu lintas yang dikarenakan minimnya pengetahuan masyarakat tentang pentingnya penggunaan alat perlindungan diri yang telah ditentukan pada undang-undang nomor 22 tahun 2009 tentang lalu lintas dan angkutan jalan. Dengan menggunakan program ini dapat mengetahui hubungan antara faktor-faktor penyebab kecelakaan. Data yang dikumpulkan dari berbagai daerah yang ada di wilayah Jawa Timur diambil pada tahun 2016 sampai dengan 2018. Data yang telah didapat dapat diolah menggunakan teknik data mining. Teknik ini berfungsi dengan menggunakan pola yang menjadi acuan untuk penentuan keputusan. Dengan menggunakan algoritma Fp-Growth yang bekerja dengan sistem data tree untuk mengetahui pola kegiatan pelaporan kamsebticar lalu lintas yang sedang terjadi, pola ini ditentukan dengan dua parameter, yaitu support (nilai penunjang) dan confidence (nilai kepastian). Dengan sistem ini dapat membantu pihak yang berkaitan untuk meningkatkan fasilitas dalam berbagai kegiatan pelaporan Kamseltibcar Lantas.

A predictive analytics of physicians prescription and pharmacies sales correlation using data mining

2019 ◽  
Vol 13 (3) ◽  
pp. 346-363
Author(s):  
Babak Sohrabi ◽  
Iman Raeesi Vanani ◽  
Nastaran Nikaein ◽  
Saeideh Kakavand
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Pharmaceutical Industry ◽  
Predictive Analytics ◽  
Customer Relationship ◽  
Sales Managers ◽  
Content Type ◽  
Using Data ◽  
The Impact ◽  
The Relationship

Purpose In the pharmaceutical industry, marketing and sales managers often deal with massive amounts of marketing and sales data. One of their biggest concerns is to recognize the impact of actions taken on sold-out products. Data mining discovers and extracts useful patterns from such large data sets to find hidden and worthy patterns for the decision-making. This paper, too, aims to demonstrate the ability of data-mining process in improving the decision-making quality in the pharmaceutical industry. Design/methodology/approach This research is descriptive in terms of the method applied, as well as the investigation of the existing situation and the use of real data and their description. In fact, the study is quantitative and descriptive, from the point of view of its data type and method. This research is also applicable in terms of purpose. The target population of this research is the data of a pharmaceutical company in Iran. Here, the cross-industry standard process for data mining methodology was used for data mining and data modeling. Findings With the help of different data-mining techniques, the authors could examine the effect of the visit of doctors overlooking the pharmacies and the target was set for medical representatives on the pharmaceutical sales. For that matter, the authors used two types of classification rules: decision tree and neural network. After the modeling of algorithms, it was determined that the two aforementioned rules can perform the classification with high precision. The results of the tree ID3 were analyzed to identify the variables and path of this relationship. Originality/value To the best of the authors’ knowledge, this is one of the first studies to provide the real-world direct empirical evidence of “Analytics of Physicians Prescription and Pharmacies Sales Correlation Using Data Mining.” The results showed that the most influential variables of “the relationship between doctors and their visits to pharmacies,” “the length of customer relationship” and “the relationship between the sale of pharmacies and the target set for medical representatives” were “deviation from the implementation plan.” Therefore, marketing and sales managers must pay special attention to these factors while planning and targeting for representatives. The authors could focus only on a small part of this study.

scholarly journals Using Data Mining Techniques to Road Safety Improvement in Spanish Roads

2014 ◽  
Vol 160 ◽  
pp. 607-614 ◽  
Author(s):  
Luis Martín ◽  
Leticia Baena ◽  
Laura Garach ◽  
Griselda López ◽  
Juan de Oña
Keyword(s):  
Data Mining ◽  
Road Safety ◽  
Data Mining Techniques ◽  
Safety Improvement ◽  
Using Data

LONGER COMBINATION VEHICLES AND ROAD SAFETY

Transport ◽  
2010 ◽  
Vol 25 (3) ◽  
pp. 336-343 ◽  
Author(s):  
Aivis Grīslis
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Traffic Accident ◽  
Road Vehicles ◽  
Driver Training ◽  
Braking Performance ◽  
Safety Issues ◽  
Heavy Truck ◽  
The Relationship ◽  
Made In

The aim of this paper is to explore the relationship between the features of Longer Combination Vehicles (LCVs) and road safety issues. LCVs are road vehicles that exceed dimensions of a typical or standard heavy truck‐trailer or tractor‐semitrailer combination vehicles in length or length and weight. The systematization of LCVs is done. Several areas, which are likely to benefit through LCVs, are listed and described. The analysis of literature review is made in the areas where additional problems may be encountered using LCVs. Several engineering factors such as resistance to rollover, swept‐path parameters, vehicle capabilities of accelerating and maintaining speed as well as braking performance are analyzed. Several research projects on traffic accident analysis have been looked through to compare their conclusions about traffic safety of LCVs. The analysis of discussions related to LCVs traffic safety issues is provided. Some transportation experts and community groups have conflicting views about road safety issues of LCVs. The opinions and related arguments of both parties are discussed in this paper. Several technical improvements in designing LCVs and the importance of driver training programs are described.

scholarly journals Application of Data Mining in the Analysis of Martial Arts Athlete Competition Skills and Tactics

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Lingrong Tao
Keyword(s):  
Data Mining ◽  
Martial Arts ◽  
Statistical Data ◽  
Practical Significance ◽  
Data Mining Techniques ◽  
Develop Technology ◽  
Competitive Success ◽  
Daily Training ◽  
Using Data ◽  
The Relationship

In martial arts, data mining technologies are used to describe and analyze the moves of athletes and changes in the process and sequences. Martial arts is a process in which athletes use all kinds of strengths and actions to make offensive and defensive changes according to the tactics of opponents. One such martial arts is Wushu arts as it has a long history in reference to Chinese martial arts. During the Wushu competition, Wushu athletes show their adaptability and technical level in complex, random, and nonlinear competitive abilities, organized and systematic skills, tactics, and position movement. Using data mining techniques, in-depth mining a particular type of martial arts competition technology and tactics behind statistical data, and using the data to find the law of change to solve some problems, for martial arts athletes in daily training to develop technology and tactics and improve competition results, is the practical significance of data mining in martial arts athletes competition. This research explored the relationship between goal-oriented and mental intensity and their effect on competitive success outcomes.

scholarly journals Causes of variation in growth rate of reindeer calves

Rangifer ◽  
1993 ◽  
Vol 13 (3) ◽  
pp. 105 ◽  
Author(s):  
C. J. Petersson ◽  
B. Danell
Keyword(s):  
Coefficient Of Variation ◽  
Growth Curves ◽  
Live Weight ◽  
Additional Increase ◽  
Live Body Weight ◽  
Major Increase ◽  
Dressing Percentage ◽  
Using Data ◽  
The Relationship ◽  
Made In

Weights of individual reindeer calves were registered on 3 or 4 occasions from the July roundup to the last slaughter roundup in January during each of four consecutive years (1986 to 1989). The observations were made in a tagged herd located in the southern part of the reindeer area in Sweden (63°N, 12°E). A total of 10 400 live-weight measurements were made, and the relationship between pre-slaughter weight and carcass weight was estimated using data from 109 individuals. Variation in weight and weight gain between weighing occasions was related to sex, number of days in the corral, scale and year. Non-linear growth curves were fit to the adjusted weights. For each sex, smoothed average weights and dispersions, both within and between year, as well as the coefficient of variation were calculated from data generated from the estimated functions. Individual calf weights were shown to be influenced by sex, weighing day within occasion, and by year. Reindeer calves gained between 20 and 25 kg in live body weight from two to 6-8 months of age. Male calves were heavier than female calves over the whole period and they gained in live weight on average 10 g/day more than female calves. Between year coefficient of variation was between 1.5 and 7% with the largest variation between years for July and January weights and the lowest variation for September weights. The growth curves showed that the major increase in weight was between July and September. From September to December/January the additional increase was only 5%. Dressing-percentage was influenced by live weight prior to slaughter. A positive relationship between live weight and dressing percentage was shown.

scholarly journals Analisis Komparasi Metode Altman Z-Score – Financial Ratio dan Metode Beneish M-Score Model – Data Mining dalam Mendeteksi Fraudulent Financial Reporting

2018 ◽  
Vol 2 (1) ◽  
pp. 14
Author(s):  
Fanny Magdalena ◽  
Hendang Tanusdjaja
Keyword(s):  
Data Mining ◽  
Financial Reporting ◽  
Z Score ◽  
Model Data ◽  
Fraudulent Financial Reporting ◽  
Public Companies ◽  
Financial Ratio ◽  
Score Model ◽  
Using Data ◽  
The Relationship

Abstract: The research tries to investigate which methods i.e. Altman Z Score – Financial Ratio or the method of Beneish M-Score Model – Data Mining, detect significantly to the Fraudulent Financial Reporting by comparing analysis on those methodologies. We argue those methods could detect the Fraudulent Financial Reporting significantly on the basis of the financial reporting in the go public companies. It is assumed that the financial reporting is formulated as good as possible before publish to the outsiders for taking another purpose of it. Thus, the research formulizes the comparison analysis on the methods for detecting the fraudulent financial reporting. Following this logic, we hypothesize that the higher the relationship to the indicator of ratios may affect to which method could more significantly in detecting positive relationship to the fraudulent financial reporting. Moreover, we test this hypothesis for the industry in consumer sector using data from IDX Database and run by PLS – SEM. Evidence strongly supports our hypothesis for detecting the fraudulent financial reporting by those methods, but the method of Altman Z Score – Financial Ratio is more influence in detecting the fraudulent financial reporting than the other.Keywords: fraud, financial, Altman Z Score, financial ratio, Beneish M-Score, Data Mining. Abstrak: Riset ini mencoba untuk menginvestigasi metode manakah diantara, Altman Z Score – Financial Ratio and metode Beneish M-Score Model – Data Mining, yang mendeteksi secara signifikan terhadap Fraudulent Financial Reporting dengan menggunakan analisis komparasi diantara metodologi yang diatas. Kami berargumentasi bahwa kedua metode tersebut dapat digunakan untuk mendekteksi Fraudulent Financial Reporting pada perusahan terbuka. Hal tersebut diasumsikan bahwa laporan keuangan dibuat sedemikian rupa sebelum dipublikasikan kepada pihak luar dalam rangka penggunaan untuk tujuan tertentu. Oleh karena itu, riset ini memformulasikan sebuah analisis komparasi metode untuk mendeteksi fraudulent financial reporting. Secara logika, penelitian ini menunjukkan suatu hipotesis dimana semakin tinggi hubungan antara metode dengan indikator rasio, maka metode tersebut semakin signifikan dalam mendektesi secara positif terhadap fraudulent financial reporting. Oleh karena itu, kami melakukan uji hipotesis ini pada industri sektor barang konsumsi dengan menggunakan data dari IDX dan dijalankan dengan PLS – SEM. Hasil uji telah membuktikan bahwa hipotesis di atas dapat mendeteksi fraudulent financial reporting, akan tetapi metode Altman Z Score – Financial Ratio  lebih berpengaruh dalam mendeteksi fraudulent financial reporting daripada metode Beneish M-Score Model.Kata kunci: kecurangan, keuangan, Altman Z Score, rasio keuangan, Beneish M-Score, data mining

Analysis of the Influence of Superelevation of Subway Line Act on Wheel-Rail Wear

2014 ◽  
Vol 577 ◽  
pp. 135-139 ◽  
Author(s):  
Su Xia Zhou ◽  
Rui Xue
Keyword(s):  
Vehicle Dynamics ◽  
Load Reduction ◽  
Curve Section ◽  
Wheel Load ◽  
Rail Wear ◽  
Two Parameters ◽  
Relationship Of ◽  
The Relationship ◽  
Made In

In order to reduce the wheel-rail wear and improve the safety and comfort of the vehicle during the running round the curve section, in this paper, based on the theory of vehicle dynamics and by the dynamics software-SIMPACK, it created a model on the relationship of wheel-rail. It conducted research on the three situation include deficient superelevation, normal superelecation and surplus superelevation when the train crossing the curves. It analysed the change regulation about the two parameters which are rate of wheel load reduction and overturning coefficient during running of the train. Most importantly, it analysed deeply about the regulation of the change about wear power and wear number accompanied by the change of superelevation. Two main conclusions were made in this paper. The first one is wear number and the changes of superelevation are negatively correlated. The second one is wear power and it is positively correlated. It suggested us that it should be in lower when the train crossing the curves. It should use lower deficient superelevation when it can’t in the case of the best situation.

scholarly journals Use of mathematical laws for optimizing the doses of swelled and dry bentonite during the fining of white wines. Part I: clarification and colloidal stability

OENO One ◽  
2002 ◽  
Vol 36 (3) ◽  
pp. 169
Author(s):  
Richard Marchal ◽  
S. Weingartner ◽  
Cédric Voisin ◽  
Philippe Jeandet ◽  
Franck Chatelain
Keyword(s):  
Heat Treatment ◽  
Colloidal Stability ◽  
White Wine ◽  
White Wines ◽  
Exponential Law ◽  
Protein Haze ◽  
The Difference ◽  
Two Parameters ◽  
The Relationship ◽  
Made In

<p style="text-align: justify;">White wine clarity is of prime importance for the winemaker as a bottle showing haziness is likely to be rejected by the consumer. It is then important to ensure a perfect colloidal stability to the wine. This study concerns a Sauvignon white wine from the Touraine area (vintage 2000). We have determined the relationships existing between the dose of bentonite used, the manner for preparing the bentonite (the dry cristalites can be directly introduced in the wine; the bentonite can also be used after swelling in water), the decrease of wine protein haze and clarifying efficiency. Clarifying kinetics are identical for 10 g/hl swelled bentonite (SB) and 100 g/hl dry bentonite (DB). The difference of efficiency between SB and DB is all the more marked than the dose used increases. At the end of the kinetics, for identical treatments (the doses are between 10 and 100 g/hl), wines fined with DB have turbidity 2-3 times higher than the same wines fined with the same doses of SB. The mathematical law shows that the turbidity decreases by 17 % when the dose of dry bentonite is doubled. For this example, the relationship between these two parameters follows a power law. The decrease reaches 27 % when the wine is fined with SB. According to heat treatment, the wine must be treated with 30 g/hl SB and 60 g/hl DB to present a good colloidal stability. For this Sauvignon wine, fined with SB, haze risk decreases by 82 % each time the dose of bentonite increases by 10 g/hl. In this case, the relationship between these two parameters follows an exponential law. If an addition of oak tannins is made in the wine fined with 30 g/hl SB or 60 g/hl DB, any trouble appears. For heat treatment test and tannin addition test, the ratio is each time 2 DB for 1 SB to have a correctly fined wine. On the basis of these results, the use of dry bentonite seems to be less interesting than the use of swelled bentonite.</p>

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