scholarly journals Analysis of Clustering for Grouping of Productive Industry by K-Medoid Method

2017 ◽  
Vol 2 (1) ◽  
pp. 26
Author(s):  
Indah Cahya Dewi ◽  
Bara Yuda Gautama ◽  
Putu Arya Mertasana
Keyword(s):  
Data Mining ◽  
Product Quality ◽  
The Third ◽  
Data Grouping ◽  
Clustering Patterns ◽  
Good Cluster ◽  
Cluster Quality ◽  
Existing Data

With the number of existing data, would have difficulty in doing the classification and the classification of the existing data. To resolve the issue, one way to do clustering is with data mining using clustering technique. The purpose of this research is the importance of knowing the pattern of the production of an industry that can provide the decision and the construction of clustering patterns for development and industrial progress. The results of this research can provide recommendations to improve the development of industry, help the owners of industry to develop the industry to an increase in the number of production and product quality, improve the competitiveness of the owner of the industry in developing its products. In this research will use the K-Medoids algorithm for data grouping of the industry so that it will be found the information that can be used for the recommendations of the improvement of marketing. The results of clustering with the number of cluster 3 produces the first group contains 85 members, the second group contains 222 members and the third group numbered 3 members. The third group are classified as productive because it has a combination of the value of the production of the most high the results of clustering have the quality of purity worth 1 means good cluster quality.

How to Achieve Fuzzy Relational Databases Managing Fuzzy Data and Metadata

2011 ◽  
pp. 351-380 ◽  
Author(s):  
Mohamed Ali Ben Hassine ◽  
Amel Grissa Touzi ◽  
José Galindo ◽  
Habib Ounelli
Keyword(s):  
Data Mining ◽  
Relational Databases ◽  
Fuzzy Data ◽  
Imprecise Data ◽  
The Third ◽  
Fuzzy Database ◽  
Existing Data ◽  
Flexible Querying ◽  
Mining Tools ◽  
Total Migration

Fuzzy relational databases have been introduced to deal with uncertain or incomplete information demonstrating the efficiency of processing fuzzy queries. For these reasons, many organizations aim to integrate flexible querying to handle imprecise data or to use fuzzy data mining tools, minimizing the transformation costs. The best solution is to offer a smooth migration towards this technology. This chapter presents a migration approach from relational databases towards fuzzy relational databases. This migration is divided into three strategies. The first one, named “partial migration,” is useful basically to include fuzzy queries in classic databases without changing existing data. It needs some definitions (fuzzy metaknowledge) in order to treat fuzzy queries written in FSQL language (Fuzzy SQL). The second one, named “total migration,” offers in addition to the flexible querying, a real fuzzy database, with the possibility to store imprecise data. This strategy requires a modification of schemas, data, and eventually programs. The third strategy is a mixture of the previous strategies, generally as a temporary step, easier and faster than the total migration.

scholarly journals ACTUALIZATION OF DERADICALIZATION AND DISENGAGEMENT IN THE DEVELOPMENT OF TERRORIST NAPI IN INDONESIA

2018 ◽  
Vol 1 (2) ◽  
pp. 1-13
Author(s):  
Fadillah Mursid
Keyword(s):  
Law Enforcement ◽  
Research Study ◽  
Full Potential ◽  
Main Approach ◽  
The Third ◽  
The Government ◽  
Relationship Of ◽  
The Relationship

The issue of terrorism in Indonesia is one of the main problems of this nation that needs  to get serious attention from the government. A series of incidents of terror during this  time indicates an unresolved problem in countering terrorism. Based on the problem,  the focus of this research study is how the guidance of terrorist prisoners in LP, then how  the concept of deradicalization and disengament as an effort penagebulnyanya, and  how to actualize the two concepts?  This research including the kind of research normative law, while specification this  research is descriptive analytical Legal material used in covering primary, secondary,  and tertiary legal materials. The collection of legal materials in this paper is done by  doing literature research and document studies. The main approach is doctrinal.  Based on the results of research can be concluded that First, the concept of terrorism  punishment aims to realize the ultimate goal of coaching, namely rehabilitation and  resosialisasi offenders, even to the suppression of crime (suppression of Crime). Second,  Deraikalisasi sebgai efforts to eliminate radical understanding can be done in several  ways namely, Rehabilitation, reedukasi, resosialisasi, and reintegration. Disengagement  aims to break the relationship of former terrorist prisoners not to join their former  group. Third, the approach used in actualizing both programs is First Strategy, refining  the strategy focused on law enforcement and balanced with prevention and protection  efforts to obtain comprehensive results. The second strategy is to utilize the full  potential of the state's resources through the involvement of related elements in the  superstructure, infrastructure and substructure. The third strategy is to synergize all the  sectoral lines in counterterrorism that have been done by various components and not  fragmented. For concrete steps in actualizing it there are two things that must be done,  namely improving the quality of human resources that have a good understanding of  the Prisoner, and classification of inmates as an effort to facilitate in coaching. 

Product Quality Index: A New Way to Classify Intra-industry Trade

2019 ◽  
Vol 54 (4) ◽  
pp. 408-421
Author(s):  
L. G. Burange ◽  
Hemangi K. Kelkar
Keyword(s):  
Product Quality ◽  
Quality Index ◽  
Methodological Development ◽  
Methodological Issues ◽  
Industry Trade ◽  
Jel Code ◽  
Theoretical Foundations ◽  
Dispersion Limit

The increasing intra-industry trade (IIT) gives an impetus to theoretical foundations of new trade theories. For the empirical assessment, the measurement and segregation of IIT become very essential. On the basis of quality of product, IIT is segregated into two parts. First is based on qualitative differentiation of the products known as vertical IIT (VIIT) and the second is based on the differentiation of the products called as horizontal IIT (HIIT). The work of Greenaway, Hine, and Milner (1994, Weltwirtschaftliches Archiv, 130(1), 77–100), Fontagné and Freudenberg (1997, Intra-industry trade: Methodological issues reconsidered, Paris: Centre d’Études Prospectives et d’Informations Internationales) and Azhar and Elliott (2006, Review of World Economics, 142(3), 476–495) are some of the milestones in the methodological development of IIT. However, these methods are not free from certain shortcomings. Thus, the article attempts to extend the measurement technique with product quality index (PQI) to overcome the existing shortcomings such as arbitrariness of dispersion limit and bias in the classification of IIT into HIIT and VIIT. JEL Code: F140

DATA MINING KLASTERISASI PENJUALAN ALAT-ALAT BANGUNAN MENGGUNAKAN METODE K-MEANS (STUDI KASUS DI TOKO ADI BANGUNAN)

2018 ◽  
Vol 1 (2) ◽  
pp. 83-91
Author(s):  
M. Hasyim Siregar
Keyword(s):  
Data Mining ◽  
Cost Reduction ◽  
Building Materials ◽  
Large Data ◽  
Large Data Sets ◽  
Data Sets ◽  
Operational Cost ◽  
Use Of Data

In the world of business competition today, we are required to continually develop business to always survive in the competition. To achieve this there are a few things that can be done is to improve the quality of the product, adding the type of product and operational cost reduction company with how to use data analysis of the company. Data mining is a technology that automate the process to find interesting patterns and sensitive from the large data sets. This allows human understanding about finding patterns and scalability techniques. The store Adi Bangunan is a shop which is engaged in the sale of building materials and household who have such a system on supermarket namely buyers took own goods that will be purchased. Sales data, purchase goods or reimbursed some unexpected is not well ordered, so that the data is only function as archive for the store and cannot be used for the development of marketing strategy. In this research, data mining applied using the model of the process of K-Means that provides a standard process for the use of data mining in various areas used in the classification of because the results of this method can be easily understood and interpreted.

scholarly journals A Case Study in the Transformers and Household Appliances Factory

2017 ◽  
Vol 1 (2) ◽  
pp. 591-608
Author(s):  
Nada Saleh Mahdi ◽  
Hussein Reza Mahdi Reza Mahdi
Keyword(s):  
Product Quality ◽  
Poor Quality ◽  
Quality Level ◽  
Insulation Material ◽  
Household Appliances ◽  
Quality Product ◽  
The One

The research aims to identify the best way to evaluate the final product quality level, and through the comparison between the results of the value of demerits by using demerit system that depending on quadrant classification accredited by the researchers for defects with the method that used at the factory, that depending on three-classification of defects, and used cause and effect Diagram on the defects of the category (A) to identify the main and Secondary reasons that occurrence of this defect, Use the method case study to reach the goals of the research and was selected factory of transformers and household appliances Which represents the one of the formations of the General company for Electronic Industries spatial limits of the study, as were selected reflective product sample for the application of this study as it consists of 87 part which increases the probability of the emergence defects that different influence the reflective product quality, Search results showed that the use of demerit system, which depends on the quad classification for defects, that will lead to a devaluation of demerit value and thus improve the quality product reflective, In addition to identifying the main reasons and secondary that lead to emergence defects of class (A), It was identified four causes is (Touching the wires of body, Presence scratch in the connecting wires, Poor quality of connecting wires, A defect in the insulation material).

scholarly journals Penentuan Mutu Kelapa Sawit Menggunakan Metode K-Means Clustering

KOMTEKINFO ◽  
2019 ◽  
Vol 5 (3) ◽  
pp. 1-9
Author(s):  
Andri Nofiar ◽  
Sarjon Defit ◽  
Sumijan
Keyword(s):  
Data Mining ◽  
Palm Oil ◽  
Laboratory Testing ◽  
Quality Data ◽  
Test Results ◽  
Clustering Method ◽  
Data Mining Approach ◽  
Cluster 2

The classification of the quality of palm oil in PT Tasma Puja is still done by laboratory testing and then the data is saved manually in Excel. The method of grouping takes time and allows data to be lost. With the development of knowledge, it can be replaced by a data mining approach that can be used to classify the quality of palm oil based on its standards. The k-Means clustering method can be applied to classify the quality of palm oil based on water, dirt and free fatty acids. The data used is the quality data of palm oil in December 2017 as many as 31 data with criteria of good, very good and not good. The test results contained 3 clusters, namely cluster 0 for good categories amounted to 12 data, cluster 1 for very good category amounted to 13 data and cluster 2 for less good categories amounted to 6 data. The k-Means clustering method can be used for data processing using the concept of data mining in grouping data according to criteria.

scholarly journals The Classification of Customers’ Sentiment using Data Mining Approaches

2019 ◽  
Vol IV (IV) ◽  
pp. 146-156
Author(s):  
Dost Muhammad Khan ◽  
Tariq Aziz Rao ◽  
Faisal Shahzad
Keyword(s):  
Data Mining ◽  
Service Providers ◽  
Daily Basis ◽  
Machine Learning Algorithms ◽  
Decision Makers ◽  
Supervised Machine Learning ◽  
Market Trends ◽  
Using Data

Data mining is a procedure of extracting the requisite information from unprocessed records by using certain methodologies and techniques. Data having sentiments of customers is of utmost importance for managers and decision-makers who intend to monitor the progress, to maintain the quality of their products or services and to observe the latest market trends for business support. Billions of customers are using micro-blogging websites and social media for sharing their opinions about different topics on daily basis. Therefore, it has become a source of acquiring information but to identify a particular feature of a product is still an issue as the information retrieves from varied sources. We proposed a framework for data acquisition, preprocessing, feature extraction and used three supervised machine-learning algorithms for classification of customers’ sentiments. The proposed framework also tested to evaluate the system’s performance. Our proposed methodology will be helpful for researchers, service providers, and decisionmakers.

ABOUT THE PROBLEM OF CLASSIFICATION OF THE CONCEPTS OF INFORMATICS STUDIED AT SECONDARY SCHOOL

2018 ◽  
pp. 4-7
Author(s):  
S. I. Zenko
Keyword(s):  
Secondary School ◽  
Foreign Language ◽  
Computer Science ◽  
Parts Of Speech ◽  
The Third ◽  
The Cross ◽  
Definition Of

The article raises the problem of classification of the concepts of computer science and informatics studied at secondary school. The efficiency of creation of techniques of training of pupils in these concepts depends on its solution. The author proposes to consider classifications of the concepts of school informatics from four positions: on the cross-subject basis, the content lines of the educational subject "Informatics", the logical and structural interrelations and interactions of the studied concepts, the etymology of foreign-language and translated words in the definition of the concepts of informatics. As a result of the first classification general and special concepts are allocated; the second classification — inter-content and intra-content concepts; the third classification — stable (steady), expanding, key and auxiliary concepts; the fourth classification — concepts-nouns, conceptsverbs, concepts-adjectives and concepts — combinations of parts of speech.

Pengaruh Pemberian Moringa oleifera Terhadap Kuantitas dan Kualitas Semen Sapi Peranakan Ongole

2020 ◽  
Vol 7 (2) ◽  
pp. 119
Author(s):  
Lukman Affandhy ◽  
Muchamad Luthfi ◽  
Dian Ratnawati ◽  
Frediansyah Firdaus
Keyword(s):  
Data Analysis ◽  
Analysis Of Variance ◽  
Research Method ◽  
Moringa Oleifera ◽  
The Third ◽  
Randomized Design ◽  
Leaf Powder ◽  
Completely Randomized Design ◽  
Second Period

ABSTRAK  Penelitian bertujuan untuk mengetahui pengaruh pemberian bubuk daun Moringa oleifera (MO) terhadap kuantitas dan kualitas semen sapi peranakan ongole (PO). Metode penelitian menggunakan percobaan lapang dengan rancangan acak lengkap dengan tiga perlakuan pemberian MO sebesar 0 kg/ekor/hari (P1); 0,05 kg/ekor/hari (P2) dan 0,1 kg/ekor/hari (P3). Analsis data menggunakan one way analysis of variance. Masing-masing perlakuan terdiri atas empat ekor dengan tiga periode pengamatan sebagai ulangan, yaitu periode pertama dan ketiga tanpa MO, dan periode kedua diberikan MO pada P2 dan P3. Hasil penelitian menunjukan bahwa volume dan pH semen perlakuan P1, P2 dan P3 tidak berbeda semua periode pengamatan. Motilitas massa spermatozoa P2 dan P3 periode kedua dan ketiga menunjukan nilai +++ berbeda nyata (P<0,05) dibandingkan dengan P1 (++); motilitas individu  perlakuan P1 menunjukkan nilai terendah 60,56±2,94 % (P<0,05) dibandingkan P2 dan P3 pada periode kedua dan ketiga (75,50±2,29 dan 72,50±2,34%). Konsentrasi spermatozoa P2 dan P3 periode kedua dan ketiga menunjukkan rata-rata  >1.350 juta/ml berbeda nyata (P<0,05) daripada P1 (876±152juta/ml), sedangkan total spermatozoa motil menunjukkan nilai tertinggi 5.647±829 juta/ml pada P3 periode kedua.Viabilitas spermatozoa P2 dan P3 menunjukkan nilai >88-89 % beda nyata (P<0,05) daripada P1 (<84 %) pada periode kedua dan ketiga, sedangkan nilai abnormalitas spermatozoa yang terbaik adalah P2 sebesar 4,30% pada periode kedua dan P3 sebesar 5,33% pada periode ketiga. Disimpulkan pemberian bubuk daun MO dengan dosis 0,1 kg/ekor/hari dapat memperbaiki kuantitas dan kualitas semen (viabilitas dan total spermatozoa motil) sapi pejantan PO.Kata kunci:  kuantitas dan kualitas semen, Moringa oleifera, sapi pejantan ABSTRACTThe research aimed to determine the effect of Moringa oleifera (MO) leaf powder on the quantity and quality of semen of ongole crossbreed. The research method used was a field experiment with a completely randomized design with three treatments giving MO of 0 kg/head/day (P1); 0.05 kg/head/day (P2) and 0.1 kg/head/day (P3). Each treatment consisted of four heads with three periods of observation as replications, namely the first and third periods without MO, and the second period was given MO on P2 and P3. Data analysis used a one-way analysis of variance. The results showed that the volume and pH of semen treated P1, P2, and P3 didn’t different in all observation periods. The second and third period spermatozoa mass motility of P2 and P3 showed that the value of +++ was significantly different (P<0.05) compared to P1 (++); Individual motility of P1 treatment showed the lowest value 60,56±2,94 % (P<0.05) compared to P2 and P3 in the second and third periods (75,50±2,29 and 72,50±2,34%). The second and third periods of P2 and P3 spermatozoa concentrations showed an average of >1,350 million/cc significantly different (P<0.05) than P1 (876±152 million/cc), while the total motile spermatozoa showed the highest value of 5,647±829 million/cc in the second period P3. The spermatozoa viability of P2 and P3 showed values >88-89% significantly different (P<0.05) than P1 (<84%) in the second and third periods, while the best spermatozoa abnormalities were P2 at 4.30% in the second period and P3 at 5.33% in the third period. It was concluded that the giving of MO leaf powder at a dose of 0,1 kg/head/day could improve the quantity and quality of semen (viability and total motile spermatozoa) of Ongole Crossbreed bulls. Keywords: bulls, Moringa oleifera, quantity and quality of semen

Dynamics of the processes in metal machining

1998 ◽  
Vol 2 ◽  
pp. 115-122
Author(s):  
Donatas Švitra ◽  
Jolanta Janutėnienė
Keyword(s):  
High Frequency ◽  
Machine Tools ◽  
Metal Cutting ◽  
Cutting Tool ◽  
Low Frequency ◽  
Metal Cutting Machine ◽  
Cutting Machine ◽  
Metal Machining

In the practice of processing of metals by cutting it is necessary to overcome the vibration of the cutting tool, the processed detail and units of the machine tool. These vibrations in many cases are an obstacle to increase the productivity and quality of treatment of details on metal-cutting machine tools. Vibration at cutting of metals is a very diverse phenomenon due to both it’s nature and the form of oscillatory motion. The most general classification of vibrations at cutting is a division them into forced vibration and autovibrations. The most difficult to remove and poorly investigated are the autovibrations, i.e. vibrations arising at the absence of external periodic forces. The autovibrations, stipulated by the process of cutting on metalcutting machine are of two types: the low-frequency autovibrations and high-frequency autovibrations. When the low-frequency autovibration there appear, the cutting process ought to be terminated and the cause of the vibrations eliminated. Otherwise, there is a danger of a break of both machine and tool. In the case of high-frequency vibration the machine operates apparently quiently, but the processed surface feature small-sized roughness. The frequency of autovibrations can reach 5000 Hz and more.

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