scholarly journals Implementasi Data Mining Untuk Penyusunan Tata Letak Data Obat-Obatan Dengan Menggunakan Algoritma K-Harmonic Means Pada Apotek Inti Fada Sidamanik

2020 ◽  
Vol 3 (1) ◽  
pp. 19-25
Author(s):  
Yohanni Syahra ◽  
Rico Imanta Ginting ◽  
Milfa Yetri
Keyword(s):  
Data Mining ◽  
Community Service ◽  
Technological Progress ◽  
Rapid Development ◽  
Data Layout ◽  
Management Information ◽  
Existing Problems ◽  
High Level ◽  
Harmonic Means ◽  
Computerized Data Processing

Abstrack–Apotek Inti Fada Sidamanik is engaged in community service. The rapid development of technology, requires humans to apply in all fields in order to achieve technological progress. Including one of them in the pharmaceutical field. The high level of diversity of drugs requires people to be able to manage them more thoroughly so that their use is more easily classified. With the existence of a good management or medication list management, the information sought will be more easily obtained so that it can shorten the time used. The use of computers is very accurate and fast. Computerized data processing is very necessary to get information, which can be used to produce solutions to existing problems, such as drugs can be neatly arranged according to the shelf and dosage of each drug. The purpose of this research is to build a system of drug data management information at the Pharmacy Core Fada Sidamanik in order to facilitate and streamline information systems that are not well structured.Keywords: Data Mining, K-Harmonic Means Algorithm, Arrangement of Drug Data Layout. Abstrak–Apotek Inti Fada Sidamanik bergerak dalam bidang pelayanan masyarakat. Perkembangan teknologi yang semakin pesat, menuntut manusia untuk melakukan penerapan disegala bidang guna mencapai kemajuan teknologi. Termasuk salah satunya pada bidang farmasi. Tingginya tingkat keragaman obat-obatan menuntut orang–orang agar dapat mengelolanya lebih teliti sehingga dalam penggunaannya lebih mudah diklasifikasikan. Dengan adanya suatu manajemen atau pengelolaan daftar obat yang baik, maka informasi yang dicari akan lebih mudah diperoleh sehingga dapat mempersingkat waktu yang digunakan.Penggunaan komputer sangat akurat dan cepat. Pengolahan data secara komputerisasi sangat diperlukan untuk mendapatkan informasi, yang dapat digunakan untuk menghasilkan solusi-solusi dari masalah yang ada, seperti obat dapat tersusun rapi sesuai dengan raknya dan dosis masing–masing obat. Maksud dari penelitian ini adalah membangun sistem informasi pengelolaan data obat pada Apotek Inti Fada Sidamanik guna mempermudah dan mengefesiensikan sistem informasi yang belum tersusun dengan baik.Kata Kunci: Data Mining, Algoritma K-Harmonic Means, Penyusunan Tata Letak Data Obat-Obatan.

scholarly journals PENERAPAN DATA MINING DALAM MENGELOMPOKAN PRODUKSI JAGUNG MENURUT PROVINSI MENGGUNAKAN ALGORITMA K-MEANS

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Nanda Erlangga ◽  
Solikhun Solikhun ◽  
Irawan Irawan
Keyword(s):  
Data Mining ◽  
Clustering Algorithm ◽  
Rapid Development ◽  
Domestic Market ◽  
Corn Production ◽  
Low Level ◽  
High Level ◽  
Level Cluster ◽  
Central Statistics

Corn needs are currently experiencing a fairly rapid development can be seen in terms of the domestic market, here researchers want to increase the productivity and quality of corn production. The data that will be used is the data from the Central Statistics Agency. The method in this study is the K-means clustering algorithm and the application used is Rapidminer which will be grouped into 2 clustering, namely high and low. The results of this study are 2 high level cluster provinces, 32 low level cluster provincesKeywords: Corn, Data mining, K-means Clustering c

scholarly journals A DESCRIPTIVE FRAMEWORK FOR THE FIELD OF DATA MINING AND KNOWLEDGE DISCOVERY

2008 ◽  
Vol 07 (04) ◽  
pp. 639-682 ◽  
Author(s):  
YI PENG ◽  
GANG KOU ◽  
YONG SHI ◽  
ZHENGXIN CHEN
Keyword(s):  
Data Mining ◽  
Knowledge Discovery ◽  
Rapid Development ◽  
Theory Approach ◽  
Research Activities ◽  
Comprehensive Picture ◽  
Teaching Learning ◽  
High Level ◽  
Descriptive Framework ◽  
Grounded Theory Approach

Despite the rapid development, the field of data mining and knowledge discovery (DMKD) is still vaguely defined and lack of integrated descriptions. This situation causes difficulties in teaching, learning, research, and application. This paper surveys a large collection of DMKD literature to provide a comprehensive picture of current DMKD research and classify these research activities into high-level categories using grounded theory approach; it also evaluates the longitudinal changes of DMKD research activities during the last decade.

Teknik Data Mining Dalam Clustering Produksi Susu Segar Di Indonesia Dengan Algoritma K-Means

2019 ◽  
Vol 1 (1) ◽  
pp. 31-39
Author(s):  
Ilham Safitra Damanik ◽  
Sundari Retno Andani ◽  
Dedi Sehendro
Keyword(s):  
Data Mining ◽  
Milk Production ◽  
Clustering Algorithm ◽  
Clustering Method ◽  
Data Mining Techniques ◽  
Low Level ◽  
Fresh Milk ◽  
Nutritional Needs ◽  
High Level ◽  
Level Cluster

Milk is an important intake to meet nutritional needs. Both consumed by children, and adults. Indonesia has many producers of fresh milk, but it is not sufficient for national milk needs. Data mining is a science in the field of computers that is widely used in research. one of the data mining techniques is Clustering. Clustering is a method by grouping data. The Clustering method will be more optimal if you use a lot of data. Data to be used are provincial data in Indonesia from 2000 to 2017 obtained from the Central Statistics Agency. The results of this study are in Clusters based on 2 milk-producing groups, namely high-dairy producers and low-milk producing regions. From 27 data on fresh milk production in Indonesia, two high-level provinces can be obtained, namely: West Java and East Java. And 25 others were added in 7 provinces which did not follow the calculation of the K-Means Clustering Algorithm, including in the low level cluster.

scholarly journals Mobile Networks and Internet of Things Infrastructures to Characterize Smart Human Mobility

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 894-918
Author(s):  
Luís Rosa ◽  
Fábio Silva ◽  
Cesar Analide
Keyword(s):  
Internet Of Things ◽  
Mobile Networks ◽  
Smart Cities ◽  
Human Mobility ◽  
Rapid Development ◽  
Disruptive Technology ◽  
New Paradigm ◽  
Design And Optimization ◽  
High Level

The evolution of Mobile Networks and Internet of Things (IoT) architectures allows one to rethink the way smart cities infrastructures are designed and managed, and solve a number of problems in terms of human mobility. The territories that adopt the sensoring era can take advantage of this disruptive technology to improve the quality of mobility of their citizens and the rationalization of their resources. However, with this rapid development of smart terminals and infrastructures, as well as the proliferation of diversified applications, even current networks may not be able to completely meet quickly rising human mobility demands. Thus, they are facing many challenges and to cope with these challenges, different standards and projects have been proposed so far. Accordingly, Artificial Intelligence (AI) has been utilized as a new paradigm for the design and optimization of mobile networks with a high level of intelligence. The objective of this work is to identify and discuss the challenges of mobile networks, alongside IoT and AI, to characterize smart human mobility and to discuss some workable solutions to these challenges. Finally, based on this discussion, we propose paths for future smart human mobility researches.

Fault Diagnosis of Automobile ECUs with Data Mining Technologies

2010 ◽  
Vol 40-41 ◽  
pp. 156-161 ◽  
Author(s):  
Yang Li ◽  
Yan Qiang Li ◽  
Zhi Xue Wang
Keyword(s):  
Data Mining ◽  
Fault Diagnosis ◽  
Decision Tree ◽  
Data Stream ◽  
Electronic Control Unit ◽  
Rapid Development ◽  
Reliability And Validity ◽  
Control Unit ◽  
Use Of Data ◽  
The Cost

With the rapid development of automotive ECUs(Electronic Control Unit), the fault diagnosis becomes increasingly complicated. And the link between fault and symptom becomes less obvious. In order to improve the maintenance quality and efficiency, the paper proposes a fault diagnosis approach based on data mining technologies. By making full use of data stream, we firstly extract fault symptom vectors by processing data stream, and then establish a diagnosis decision tree through the ID3 decision tree algorithm, and finally store the link rules between faults and the related symptoms into historical fault database as a foundation for the fault diagnosis. The database provides the basis of trend judgments for a future fault. To verify this approach, an example of diagnosing faults of entertainment ECU is showed. The test result testifies the reliability and validity of this diagnostic method and reduces the cost of ECU diagnosis.

Rapid development of distributed applications using high-level communication support

2011 ◽  
Vol 34 (1) ◽  
pp. 172-182 ◽  
Author(s):  
Mingyu Lim ◽  
Bart Kevelham ◽  
Niels Nijdam ◽  
Nadia Magnenat-Thalmann
Keyword(s):  
Rapid Development ◽  
Distributed Applications ◽  
Communication Support ◽  
High Level

ASPECTS REGARDING THE USE OF ARTIFICIAL INTELLIGENCE IN IMPROVING DEFENSE RESOURCE MANAGEMENT

2021 ◽  
Vol 17 (1) ◽  
pp. 323-330
Author(s):  
Gabriela-Florina NICOARĂ ◽  
Gergonia-Cristiana BOGĂȚEANU
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Technological Progress ◽  
Digital Systems ◽  
Constructive Approach ◽  
The Past ◽  
A Priority ◽  
High Level

Abstract: Regarding the society evolution dominated by a high-level technology, we consider this article a constructive approach. The aim of the paper is to highlight a few activities/places/spots in which competences of humans/soldiers interfere with different elements of the artificial intelligence. We deem that the technological progress in the past few years has been impressive. Nowadays, thousands of activities that were mostly or exclusively executed by people can be done faster and often with greater precision using digital systems. In this instance and considering the achievement of functional compatibility between Romanian Army and forces from NATO as being a priority, the development of the technology based on artificial intelligence is vital within the defense resource management.

scholarly journals High-Level Carbapenem Resistance in OXA-232-Producing Raoultella ornithinolytica Triggered by Ertapenem Therapy

2019 ◽  
Vol 64 (1) ◽  
Author(s):  
Alina Iovleva ◽  
Roberta T. Mettus ◽  
Christi L. McElheny ◽  
Marissa P. Griffith ◽  
Mustapha M. Mustapha ◽  
...  
Keyword(s):  
Rapid Development ◽  
Carbapenem Resistance ◽  
Resistant Isolate ◽  
Clinical Microbiology Laboratory ◽  
Loss Of Function ◽  
Content Type ◽  
Carbapenem Resistant ◽  
Class D ◽  
Fold Reduction ◽  
High Level

ABSTRACT OXA-232 is an OXA-48-group class D β-lactamase that hydrolyzes expanded-spectrum cephalosporins and carbapenems at low levels. Clinical strains producing OXA-232 are sometimes susceptible to carbapenems, making it difficult to identify them in the clinical microbiology laboratory. We describe the development of carbapenem resistance in sequential clinical isolates of Raoultella ornithinolytica carrying blaOXA-232 in a hospitalized patient, where the ertapenem MIC increased from 0.5 μg/ml to 512 μg/ml and the meropenem MIC increased from 0.125 μg/ml to 32 μg/ml during the course of ertapenem therapy. Whole-genome sequencing (WGS) analysis identified loss-of-function mutations in ompC and ompF in carbapenem-resistant isolates that were not present in the initial carbapenem-susceptible isolate. Complementation of a carbapenem-resistant isolate with an intact ompF gene resulted in 16- to 32-fold reductions in carbapenem MICs, whereas complementation with intact ompC resulted in a 2-fold reduction in carbapenem MICs. Additionally, blaOXA-232 expression increased 2.9-fold in a carbapenem-resistant isolate. Rapid development of high-level carbapenem resistance in initially carbapenem-susceptible OXA-232-producing R. ornithinolytica under selective pressure from carbapenem therapy highlights the diagnostic challenges in detecting Enterobacteriaceae strains producing this inefficient carbapenemase.

The Infection of the ventriculus of the adult honeybee by Nosema apis (Zander)

Parasitology ◽  
1955 ◽  
Vol 45 (1-2) ◽  
pp. 86-94 ◽  
Author(s):  
L. Bailey
Keyword(s):  
Calcium Phosphate ◽  
Central Region ◽  
Polar Filament ◽  
Rapid Development ◽  
Nosema Apis ◽  
Anaerobic Conditions ◽  
Free Living ◽  
Initial Infection ◽  
High Level

1. Spores of Nosema apis nearly all germinate within 30 min. after entering the ventriculus of the honeybee.2. The cause of germination in vivo remains unknown, but is probably not a change of osmotic pressure or pH and is probably not due to anaerobic conditions or an enzyme. The agent causing germination is probably unstable and is destroyed when removed from the bee.3. The anterior end of the ventriculus receives an initial heavy infection and the circumstantial evidence which this provides supports the theory that a free living ‘planont’ stage does not exist but that the parasite is injected directly into the host cell from the spore via the hollow polar filament.4. The central region of the ventriculus which contains many granules of calcium phosphate receives the lowest initial infection. It is considered possible that the granules inhibit the initial rapid development of the parasite by maintaining an unfavourably high level of pH until they are eventually dissolved by the slowly developing organism.

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