scholarly journals Cost Centric Data Mining for Radiology Procedures at Teaching Hospital in Malaysia

2020 ◽  
Vol 39 (1) ◽  
pp. 1-8
Author(s):  
Roszita Ibrahim ◽  
Azana Hafizah Mohd Aman ◽  
Amrizal Muhd Nur ◽  
Syed Mohamed Aljund
Keyword(s):  
Data Mining ◽  
Human Resources ◽  
Evaluation Study ◽  
Resonance Imaging ◽  
Economic Evaluation Study ◽  
Cost Parameter ◽  
Procedure Cost ◽  
Cost Parameters ◽  
Activity Method ◽  
Mean Cost

This study explored radiology procedure cost across available units in the Radiology’s Department UKMMC (University Kebangsaan Malaysia Medical Centre). In 2011, the total number of radiology procedures carried out in this department was 121,221. Nevertheless, the estimating expenses of offering these procedures are not known. An economic evaluation study was employed and cost centric data mining based on costing activity method was used to determine the charge of the procedure in every centre. Information on seven cost parameters was collected for each procedure: human resources, consumables, equipment, reagents, administration, maintenance and utilities. The results of the study show that the highest percentage of cost parameter for the human resource was Radiology (Mobile) 57.5%, the highest percentage of cost parameter for consumables and reagent was EIR (Endovascular International Radiology) Unit 75.8% and Medical Nuclear Unit 68.1% was the highest percentage of cost parameter for reagent. The MRI (Magnetic Resonance Imaging) Unit 81.4% was the highest cost parameter for equipment. The most top mean cost procedures were EIR MYR4330 and it was revealed that procedures with the highest difference ratio were procedures in EIR (18.50). Finding of this study is very useful to UKMMC management since it helps to enhance the efficiency of services and reduce unnecessary radiology procedures in patient’s management.

Data Visualization Indicator Disease (Malaria, Dengue Fever, and Measles) in The Year 2012-2015

2017 ◽  
Vol 4 (2) ◽  
pp. 87-93
Author(s):  
Immanuel Luigi Da Gusta ◽  
Johan Setiawan
Keyword(s):  
Data Mining ◽  
Human Resources ◽  
Data Visualization ◽  
Health Sector ◽  
Medical Personnel ◽  
Database Systems ◽  
Process Time ◽  
Acceptance Test ◽  
Visual Data Mining ◽  
The Government

The aim of this paper are: to create a data visualization that can assist the Government in evaluating the return on the development of health facilities in the region and province area in term of human resources for medical personnel, to help community knowing the amount of distribution of hospitals with medical personnel in the regional area and to map disease indicator in Indonesia. The issue of tackling health is still a major problem that is not resolved by the Government of Indonesia. There are three big things that become problems in the health sector in Indonesia: infrastructure has not been evenly distributed and less adequate, the lack of human resources professional health workforce, there is still a high number of deaths in the outbreak of infectious diseases. Data for the research are taken from BPS, in total 10,600 records after the Extract, Transform and Loading process. Time needed to convert several publications from PDF, to convert to CSV and then to MS Excel 3 weeks. The method used is Eight-step Data Visualization and Data Mining methodology. Tableau is chosen as a tool to create the data visualization because it can combine each dasboard inside a story interactive, easier for the user to analyze the data. The result is a story with 3 dashboards that can fulfill the requirement from BPS staff and has been tested with a satisfied result in the UAT (User Acceptance Test). Index Terms—Dashboard, data visualization, disease, malaria, Tableau REFERENCES [1] S. Arianto, Understanding of learning and others, 2008. [2] Rainer; Turban, Introduction to Information Systems, Danvers: John Wiley & Sons, Inc, 2007. [3] V. Friedman, Data Visualization Infographics, Monday Inspirition, 2008. [4] D. A. Keim, "Information Visualization and Visual Data Mining," IEEE Transactions on Visualization and Computer Graphics 8.1, pp. 1-8, 2002. [5] Connolly and Begg, Database Systems, Boston: Pearson Education, Inc, 2010. [6] E. Hariyanti, "Pengembangan Metodologi Pembangunan Information Dashboard Untuk Monitoring kinerja Organisasi," Konferensi dan Temu Nasional Teknologi Informasi dan Komunikasi untuk Indonesia, p. 1, 2008. [7] S. Darudiato, "Perancangan Data Warehouse Penjualan Untuk Mendukung Kebutuhan Informasi Eksekutif Cemerlang Skin Care," Seminar Nasional Informatika 2010, pp. E-353, 2010.

scholarly journals THE RELEVANCE OF CIVIL ENGINEERING GRADUATE’S COMPETENCES TO WORK IN CONSTRUCTION INDUSTRY

2020 ◽  
Vol 3 (1) ◽  
pp. 81-94
Author(s):  
Metha Wijayanti ◽  
Amat Jaedun
Keyword(s):  
Human Resources ◽  
Construction Industry ◽  
Descriptive Analysis ◽  
Evaluation Study ◽  
Director General ◽  
Vocational Schools ◽  
Quantitative Descriptive Analysis ◽  
Knowledge Competencies ◽  
Quantitative Descriptive ◽  
Building Engineering

This study was aimed at analyzing the competencies that are provided and the relevance of graduate competence of vocational schools to work in the construction industry. The evaluation study used was a discrepancy model by identifying gaps between the needs of construction industry competencies and the competencies of Building Engineering graduates. The objects of the study were company owners, heads of the Human Resources Department, and head of the Building Engineering Expertise Program. The data were retrieved using a questionnaire with 60 open statements. The instruments were prepared based on the Director General of Secondary Education Decree Number 7013/D/KP/2013 which is adjusted to the theory of competence and competency of the pre-survey results. The data then were analyzed using quantitative descriptive analysis technique. The results of the study showed that industry requires seven attitude competencies, seven knowledge competencies, and six skills competencies. Industrial competency requirements that are relevant to the competencies supplied by Vocational Schools are six attitude competencies, five knowledge competencies, and one skill competency with a level of relevance in the high category which shows that vocational school graduates are competent to work in the construction industry.RELEVANSI KOMPETENSI LULUSAN SMK TEKNIK BANGUNAN UNTUK BEKERJA DI INDUSTRI KONSTRUKSIPenelitian ini bertujuan untuk menganalisis kompetensi yang dibekalkan dan tingkat relevansi kompetensi lulusan Sekolah Memengah Kejuruan (SMK) Teknik Bangunan untuk bekerja di industri jasa konstruksi. Penelitian evaluasi menggunakan model diskrepansi dengan mengidentifikasikan kesenjangan antara kebutuhan kompetensi industri konstruksi dan kompetensi lulusan Teknik Bangunan. Objek penelitian adalah pemilik perusahaan, kepala Human Resources Departement (HRD), dan kepala Program Keahlian Teknik Bangunan. Pengambilan data menggunakan kuesioner dengan 60 pernyataan terbuka. Instrumen disusun berdasarkan Keputusan Direktur Jenderal Pendidikan Menengah Nomor 7013/D/KP/2013 yang disesuaikan dengan teori kompetensi dan kompetensi hasil prasurvei. Data dianalisis dengan menggunakan teknik analisis deskriptif kuantitatif. Hasil penelitian menunjukkan kompetensi yang sangat dibutuhkan industri adalah tujuh kompetensi sikap, tujuh kompetensi pengetahuan, dan enam kompetensi keterampilan. Kebutuhan kompetensi industri yang relevan dengan kompetensi yang dibekalkan SMK adalah enam kompetensi sikap, lima kompetensi pengetahuan, dan satu kompetensi keterampilan dengan tingkat relevansi dalam kategori tinggi yang menunjukkan bahwa lulusan SMK kompeten untuk bekerja di industri konstruksi.

The Role of Data Mining for Business Intelligence in Knowledge Management

2015 ◽  
pp. 12-33 ◽  
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Data Mining ◽  
Knowledge Management ◽  
Human Resources ◽  
Organizational Performance ◽  
Business Intelligence ◽  
Statistical Significance ◽  
Practical Applications ◽  
Business Goals ◽  
Emerging Trends

This chapter introduces the role of Data Mining (DM) for Business Intelligence (BI) in Knowledge Management (KM), thus explaining the concept of KM, BI, and DM; the relationships among KM, BI, and DM; the practical applications of KM, BI, and DM; and the emerging trends toward practical results in KM, BI, and DM. In order to solve existing BI problems, this chapter also describes practical applications of KM, BI, and DM (in the fields of marketing, business, manufacturing, and human resources) and the emerging trends in KM, BI, and DM (in terms of larger databases, high dimensionality, over-fitting, evaluation of statistical significance, change of data and knowledge, missing data, relationships among DM fields, understandability of patterns, integration of other DM systems, and users' knowledge and interaction). Applying DM for BI in the KM environments will enhance organizational performance and achieve business goals in the digital age.

scholarly journals Retention and Task Shifting in Human Resources for Health through Data Mining

2017 ◽  
Vol 10 (5) ◽  
pp. 29
Author(s):  
Cheng-Kun Wang
Keyword(s):  
Data Mining ◽  
Literature Review ◽  
Human Resources ◽  
Rural Areas ◽  
Health Workers ◽  
Human Resources For Health ◽  
Task Shifting ◽  
Good Tool ◽  
Medical Manpower ◽  
And Task

Human resources for health (HRH) are the backbone of the healthcare system, but a shortage of medical manpower and the misdistribution of human resources are critical problems in the rural areas of many countries till 2017. The shortage of medical manpower is a big issue between 2004 and 2013. Data mining of bibliometrics is a good tool to find the solutions for shortage of medical manpower. By analyzing 118,092 citations in 2,000 articles published in the SSCI and SCI databases addressing HRH from 2004 to 2013, we plotted the networks among authors in the field. We combine quantitative bibliometrics and a qualitative literature review to determine the important articles and to realize the relationships between important topics in this field. We find that retention and task shifting are the hot topics in HRH field between 2004 and 2013, and find out the solutions for these issues through literature review in later papers. The solution to the HRH shortage is to determine the motivations of health workers and to provide incentives to maintain their retention. Task shifting is another solution to the HRH crisis.

scholarly journals Economic Evaluation Study (Cheer Compliant) Laser Prostatectomy for Benign Prostatic Hyperplasia

Medicine ◽  
2016 ◽  
Vol 95 (5) ◽  
pp. e2644 ◽  
Author(s):  
Yu-Chao Hsu ◽  
Yu-Hsiang Lin ◽  
Chih-Yuan Chou ◽  
Chen-Pang Hou ◽  
Chien-Lun Chen ◽  
...  
Keyword(s):  
Economic Evaluation ◽  
Benign Prostatic Hyperplasia ◽  
Evaluation Study ◽  
Prostatic Hyperplasia ◽  
Economic Evaluation Study ◽  
Laser Prostatectomy

scholarly journals PENGELOMPOKAN PERSENTASE BUTA HURUF UMUR 15-44 MENURUT PROVINSI MENGGUNAKAN ALGORITMA K-MEANS

2020 ◽  
Vol 7 (3) ◽  
pp. 230
Author(s):  
Saifullah Saifullah ◽  
Nani Hidayati
Keyword(s):  
Data Mining ◽  
Human Resources ◽  
Data Clustering ◽  
Large Scale ◽  
Market Basket ◽  
Large Scale Data ◽  
The Government ◽  
Large Scale Data Processing ◽  
Scale Data

<p><em>Data Mining is a method that is often needed in large-scale data processing, so data mining has important access to the fields of life including industry, finance, weather, science and technology. In data mining techniques there are methods that can be used, namely classification, clustering, regression, variable selection, and market basket analysis. Illiteracy is one of the factors that hinder the quality of human resources. One of the basic things that must be fulfilled to improve the quality of human resources is the eradication of illiteracy among the community. The purpose of this study is to determine the clustering of illiterate communities based on provinces in Indonesia. The results of the study are illiterate data clustering according to the age proportion of 15-44 namely 1 high group node, low group has 27 nodes, and medium group 6 nodes. The results of this study become input for the government to determine illiteracy eradication policies in Indonesia based on provinces.</em></p><p><strong>Kata Kunci</strong>: <em>Illiterate</em><em>, Data mining, K-Means Clustering</em></p><p><em>Data Mining termasuk metode yang sering dibutuhkan dalam pengolahan data berskala besar, maka data mining mempunyai akses penting pada bidang kehidupan diantaranya yaitu bidang industri, bidang keuangan, cuaca, ilmu dan teknologi. Pada teknik data mining terdapat metode-metode yang dapat digunakan yaitu klasifikasi, clustering, regresi, seleksi variabel, dan market basket analisis. Buta huruf merupakan salah satu faktor yang menghambat kualitas sumber daya manusia. Salah satu hal mendasar yang harus dipenuhi untuk meningkatkan kualitas sumber daya manusia adalah pemberantasan buta huruf di kalangan masyarakat</em><em> </em><em>Adapun tujuan penelitian ini adalah menetukan clustering masyarakat buta huruf</em><em> berdasarkan propinsi di Indonesia</em><em>.</em><em> </em><em>Hasil dari penelitian adalah data clustering buta huruf menurut propisi umur 15-44 yaitu</em><em> 1 node</em><em> kelompok tinggi</em><em>,  kelompok rendah memiliki 27 node</em><em>, dan kelompok  sedang  6 node. Ha</em><em>sil penelitian ini menjadi bahan masukan kepada pemerintah untuk menentukan kebijakan</em><em> </em><em>pemberantasan buta huruf di Indonesia berdasarakn propinsi</em><em>.</em></p><p><strong>Kata Kunci</strong>: Buta Huruf, Data mining, <em>K-Means Clustering</em><em></em></p>

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