Method of decision tree applied in adopting the decision for promoting a company

The decision can be defined as the way chosen from several possible to achieve an objective. An important role in the functioning of the decisional-informational system is held by the decision-making methods. Decision trees are proving to be very useful tools for taking financial decisions or regarding the numbers, where a large amount of complex information must be considered. They provide an effective structure in which alternative decisions and the implications of their choice can be assessed, and help to form a correct and balanced vision of the risks and rewards that may result from a certain choice. For these reasons, the content of this communication will review a series of decision-making criteria. Also, it will analyse the benefits of using the decision tree method in the decision-making process by providing a numerical example. On this basis, it can be concluded that the procedure may prove useful in making decisions for companies operating on markets where competition intensity is differentiated.

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Decision trees in environmental justice research — a case study on the floods of 2001 and 2010 in Hungary

Open Geosciences ◽

10.1515/geo-2019-0079 ◽

2019 ◽

Vol 11 (1) ◽

pp. 1025-1034 ◽

Cited By ~ 1

Author(s):

Gyula Nagy ◽

György Vida ◽

Lajos Boros ◽

Danijela Ćirić

Keyword(s):

Decision Making ◽

Decision Tree ◽

Environmental Justice ◽

Social Groups ◽

Principal Component ◽

Decision Making Processes ◽

Main Factors ◽

Decision Tree Method ◽

Tree Method

Abstract Environmental justice is a normative framework for the analysis of environmental impacts on the wellbeing of individuals and social groups. According to the framework, the deprived social groups and ethnic minorities are often more exposed to environmental risks and hazards due to their disadvantaged situation, and due to the lack of representation and political power. To manage the impacts of injustices and to include the citizen in the decision-making processes, proper information is needed on local attitudes and decision-making processes. Therefore, this study sought to (i) identify the main factors shaping the attitudes towards environmental injustices and (ii) to analyse the attitudes and perception of the various social groups and (iii) to identify the main factors which are shaping the attitudes and actions of those who were affected by the floods of 2001 and 2010 through the use of decision tree method. The data for the predictive model was acquired from a questionnaire survey conducted in two disadvantaged and flood-hit Hungarian regions. Based on the survey data, a principal component analysis (PCA) was conducted, which resulted in three principal components; fear, social change, and change in the built environment. The study focused only on the elements of the “fear principal component”, due to the decision tree tool homogenous groups identified in relation to this component. Our analysis showed that ethnicity has a determinative role in the emergence and the level of fear from floods; the Roma respondents expressed a significantly higher level of fear than others.

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Common Metamodel of Questionnaire Model and Decision Tree Model

Research in Applied Economics ◽

10.5296/rae.v10i3.13540 ◽

2018 ◽

Vol 10 (3) ◽

pp. 106

Author(s):

Mirza Suljic ◽

Edin Osmanbegovic ◽

Željko Dobrović

Keyword(s):

Decision Making ◽

Decision Tree ◽

Decision Trees ◽

Decision Tree Model ◽

Tree Model ◽

Meta Model ◽

The Subject ◽

Decision Tree Method ◽

Questionnaire Method ◽

Tree Method

The subject of this paper is metamodeling and its application in the field of scientific research. The main goal is to explore the possibilities of integration of two methods: questionnaires and decision trees. The questionnaire method was established as one of the methods for data collecting, while the decision tree method represents an alternative way of presenting and analyzing decision making situations. These two methods are not completely independent, but on the contrary, there is a strong natural bond between them. Therefore, the result reveals a common meta-model that over common concepts and with the use of metamodeling connects the methods: questionnaires and decision trees. The obtained results can be used to create a CASE tool or create repository that can be suitable for exchange between different systems. The proposed meta-model is not necessarily the final product. It could be further developed by adding more entities that will keep some other data.

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PERANCANGAN DECISION RULE PADA PRODUKSI KULIT KIKIL SAPI DENGAN MENGGUNAKAN METODE DECISION TREE DI PABRIK TIGA BERSAUDARA

J TI UNDIP JURNAL TEKNIK INDUSTRI ◽

10.14710/jati.16.1.52-61 ◽

2021 ◽

Vol 16 (1) ◽

pp. 63-72

Author(s):

Bramantiyo Eko Putro ◽

Tatan Saepurohman

Keyword(s):

Decision Tree ◽

Decision Rule ◽

Raw Materials ◽

Water Immersion ◽

Process Data ◽

Cooking Temperature ◽

Decision Tree Method ◽

A Company ◽

Tree Method

Pabrik Tiga Bersaudara merupakan perusahaan yang bergerak di bidang industri makanan dengan produk berupa kikil sapi. Persaingan bisnis setiap tahunnya semakin kompetitif, berdasarkan data Badan Pusat Statistik menunjukkan bahwa persaingan bisnis pada komoditas daging sapi di Cianjur mengalami peningkatan. Persaingan tersebut memaksa perusahaan mencari berbagai alternatif untuk unggul. Peningkatan kualitas merupakan salah satu solusi agar dapat bersaing. Penelitian ini bertujuan merancang decision rule untuk produksi kulit kikil sapi di pabrik Tiga Bersaudara. Pengumpulan data dilakukan dengan cara observasi dan wawancara, diperoleh 110 data proses produksi. Data diolah dengan metode decision tree menggunakan RapidMiner dan dilakukan perancangan decision rule. Berdasarkan analisis perancangan decision rule variabel yang perlu dipertimbangkan dalam mementukan kualitas kulit kikil sapi adalah temperatur air pemasakan, lama pemesanan, volume perendaman air 2 dan 3. Aturan keputusan yang terbentuk adalah jika temperatur pemasakan ≤ 95.75° C maka kita harus melihat data lamanya pemesanan bahan baku. Jika waktu pemesanan bahan baku ≤ 18,5 hari, hasilnya akan bagus. Anteseden ini memiliki konsekuensi terbaik yang menghasilkan prediksi benar 48,1% dengan tingkat kemurnian prediksi 100%. Abstract[Decision Rule Design On Beef Knuckle Production Using Decision tree Method In Tiga Bersaudara Factory] Tiga Bersaudara Factory is a company engaged in the food industry with beef knuckles product. Business competition is getting more competitive every year, based on data from the Central Bureau of Statistics, it shows that business competition for beef in Cianjur has increased. This competition forces companies to look for various alternatives to excel. Quality improvement is one solution in order to compete. This study aims to design a decision rule for the production of beef knuckles hides in the Tiga Bersaudara factory. Data collection was carried out by means of observation and interviews, obtained 110 production process data. The data is processed using a decision tree method using Rapid Miner and a decision rule is designed. Based on the analysis of the decision rule design, the variables that need to be considered in determining the quality of cow gravel hull are cooking water temperature, ordering time, water immersion volume 2 and 3.The decision rule that is formed is if the cooking temperature is ≤ 95.75 ° C then we must look at the data on the length of ordering the material. If the ordering time for raw materials is ≤ 18.5 days, the result will be good. This antecedent had the best consequence resulting in a true prediction of 48.1% with a predictive purity level of 100%.Keywords: Decision tree; Decision Rule; Quality; Beef Knuckle

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C4.5 Classification Data Mining for Inventory Control

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.3.12618 ◽

2018 ◽

Vol 7 (2.3) ◽

pp. 68 ◽

Cited By ~ 9

Author(s):

Robbi Rahim ◽

Ilka Zufria ◽

Nuning Kurniasih ◽

Muhammad Yasin Simargolang ◽

Abdurrozzaq Hasibuan ◽

...

Keyword(s):

Data Mining ◽

Decision Making ◽

Decision Tree ◽

Large Data ◽

Production Costs ◽

Traffic Data ◽

Tree Form ◽

Minimal Error ◽

Decision Tree Method ◽

Tree Method

Data Mining is a process of exploring against large data to find patterns in decision making. One of the techniques in decision-making is classification. Classification is a technique in data mining by applying decision tree method to form data, algorithm C4.5 is algorithm that can be used to classify data in tree form. The system has been built that shows the results of good performance and minimal error in view of the system that is able to distinguish the anomaly traffic with normal traffic. Data mining inventory system applications can facilitate the control of inventory in the company to reduce production costs.

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Research on the Graduate Career Decision-making Based on Rough Set Theory and Decision Tree Method

INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences ◽

10.4156/aiss.vol5.issue4.13 ◽

2013 ◽

Vol 5 (4) ◽

pp. 96-102

Author(s):

Xinjuan Zhang ◽

Jing Zhang

Keyword(s):

Decision Making ◽

Decision Tree ◽

Set Theory ◽

Rough Set ◽

Rough Set Theory ◽

Career Decision ◽

Career Decision Making ◽

Decision Tree Method ◽

Tree Method

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Penerapan Model Transportasi dan Decision Tree pada Distribusi Barang

The Winners ◽

10.21512/tw.v13i1.665 ◽

2012 ◽

Vol 13 (1) ◽

pp. 27

Author(s):

Arlita Armanto ◽

Haryadi Sarjono

Keyword(s):

Decision Tree ◽

Transportation Cost ◽

Current Method ◽

Problem Solution ◽

Transportation Service ◽

Optimum Model ◽

Decision Tree Method ◽

Distribution Cost ◽

A Company ◽

Tree Method

Goods distribution has a firm connection with transportation cost. Transportation method used by a company will cause great impact on company’s profit. If company’s profit can be maximal, the company will be able to develop its business even greater. Some problem solution steps proposed were: determining optimum criteria, developing alternative solution, developing optimum model, and practicing chosen implicative planning solution. These steps were implemented to obtain optimum goods distribution cost to gain maximum profit. This research resulted in that the distribution cost for goods implemented by current method in the company has been already optimum. Then for the following development, Decision Tree Method was used, where the results are: shipping to Yogyakarta using Sinar Aji transportation service with minimum EMV Rp.2.993.342; shipping to Salatiga using own car with EMV Rp.2.659.388; shipping to Purwokerto using Sinar Aji transportation service with EMV Rp.2.563.859; shipping to Cirebon using Sinar Aji transportaion service with EMV Rp.2.443.792; shipping to Semarang using Sinar Aji transportation service with EMV Rp.4.203.489. As the conclusion, goods shipping method which has been implemented by the company until now is optimum so it still can be used for any following business development as well as provides an iluustrative plan for the company.

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Extraction of Soil Salinization from Remote Sensing Information and LUCC Data Based on Knowledge Discovery over the Arid Area: A Case Study on Kuka County in Xinjiang

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.90-93.1706 ◽

2011 ◽

Vol 90-93 ◽

pp. 1706-1710

Author(s):

Qian Qian Wang ◽

Yun Feng Hu ◽

Wen Long Song ◽

Feng Wang

Keyword(s):

Remote Sensing ◽

Decision Making ◽

Knowledge Discovery ◽

Soil Salinization ◽

Arid Area ◽

Decision Making Process ◽

Remote Sensing Classification ◽

Decision Tree Method ◽

Tree Method

Soil salinization is a most important factor to influence agriculture in arid area. There is a dire need to monitoring the soil salinization information based on Chinese own satellite data. In the study, a remote sensing classification method of soil salinization land based on knowledge discovery and decision-making process that is benefit to arise classification precision through a decision tree method has been constructed. The result shows that near 80% area of the entire county has suffered soil salinization with different grade. The percent of heavy, middle and light grades soil salinization area are 11.29, 20.53 and 49.01 respectively.

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Rancang Bangun Aplikasi Sistem Pakar untuk Menangani Masalah Kecantikan pada Wajah Menggunakan Metode Decision Tree

Jurnal ULTIMATICS ◽

10.31937/ti.v6i1.326 ◽

2014 ◽

Vol 6 (1) ◽

pp. 9-14

Author(s):

Stefanie Sirapanji ◽

Seng Hansun

Keyword(s):

Decision Tree ◽

Uneven Distribution ◽

Dry Skin ◽

Average Accuracy ◽

Accuracy Level ◽

Index Terms ◽

Decision Tree Method ◽

Tree Method

Beauty is a precious asset for everyone. Everyone wants to have a healthy face. Unfortunately, there are always those problems that pops out on its own. For example, acnes, freckles, wrinkles, dull, oily and dry skin. Therefore, nowadays, there are a lot of beauty clinics available to help those who wants to solve their beauty troubles. But, not everyone can enjoy the facilities of those beauty clinics, for example those in the suburbs. The uneven distribution of doctors and the expensive cost of treatments are some of the reasons. In this research, the system that could help the patients to find the solution of their beauty problems is built. The decision tree method is used to take decision based on the shown schematic. Based on the system’s experiment, the average accuracy level hits 100%. Index Terms–Acnes, Decision Tree, Dry Skin, Dull, Facial Problems, Freckles, Wrinkles, Oily Skin, Eexpert System.

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