Perbandingan Algoritma K-Means dan EM untuk Clusterisasi Nilai Mahasiswa Berdasarkan Asal Sekolah

Dari beberapa fungsionalitas data mining, digunakan clustering untuk mengelompokkan mahasiswa berdasarkan nilai. Cluster dilakukan dengan menggunakan algoritma yang sudah ada yaitu K-Means dan EM (Expectation Maximation). Setelah sebelumnya melakukan proses pembersihan data dengan menggunakan aplikasi SQL Server 2008, kemudian data dalam bentuk tabel diolah dengan aplikasi WEKA (Waikato Environment for Knowledge Analysis) untuk mendapatkan hasilnya. Hasil dari penelitian berupa clustering informasi sekolah mana yang berpotensi menghasilkan lulusan dengan nilai yang baik. Pengelompokan terdiri atas 3 cluster dengan kategori nilai tinggi, sedang dan rendah. Pengelompokan tersebut juga berdasarkan lokasi yang disebut sebagai spatial clustering. Kemudian dilakukan analisis hasil setelah mendapatkan data yang sudah terkelompok. Informasi yang didapat selanjutnya dapat dimanfaatkan untuk pengambilan keputusan di bidang pendidikan bagi mahasiswa dan manajemen STMIK MDP. Bagi pihak manajemen STMIK MDP informasi berguna untuk mengetahui sekolah mana yang memberikan kontribusi mahasiswa dengan nilai tertinggi.From some of the functionality of data mining, clustering is used to group students based on the value. Clusters is done by using existing algorithms namely K-Means and EM (Expectation Maximation). Having previously done the cleaning process data using SQL Server 2008 applications, then the data in tabular form is processed by the WEKA (Waikato Environment for Knowledge Analysis) to get the result. Results from the study of clustering information which school has the potential to produce graduates with good grades. The grouping consists of three clusters with the category of high value, medium and low. Grouping is also referred to as a location based spatial clustering. Then performed the analysis of results after getting the data is already grouped. The information obtained can then be utilized for decision making in the field of education for students and management STMIK MDP. For the STMIK MDP management information useful to know which schools contribute to student with the highest score.

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Sistema bioinformático ganadero para la toma de decisiones en procesos de transferencia de embriones [Cattle’s bioinformatics system for decision making in embryo transfer processes]

Ventana informatica ◽

10.30554/ventanainform.30.279.2014 ◽

2014 ◽

Author(s):

Nestor Jaime Castaño Pérez ◽

Félix Antonio Céspedes Giraldo ◽

Octavio Isaza Londoño ◽

Jhon Fredy Betancur Pérez

Keyword(s):

Data Mining ◽

Decision Making ◽

Embryo Transfer ◽

Sql Server ◽

Process Data ◽

Data Mining Techniques ◽

Analysis And Design ◽

Biological Variables ◽

Toma De Decisiones ◽

Using Data

Resumen La transferencia de embriones al útero de hembras receptoras bovinas, ha sido demostrada como una práctica que aumenta la incidencia de gestaciones. El estudio tuvo como objetivo el desarrollo de un sistema informático que permite la captura, análisis y gestión de la información de los procesos en la transferencia de embriones para la toma de decisiones. Se recolectaron, monitorearon y analizaron los datos del proyecto de ‘súper-ovulación y transferencia de embriones en bovinos’, en relación a todas las variables biológicas antes, durante y después de un tratamiento, en hembras donantes y receptoras. Se digitalizaron datos físicos y, en paralelo, se realizó un análisis y diseño para la construcción de un sistema informático para la captura datos en tiempo real; utilizando las tecnologías de programación web en móviles; HTML5, Jquery Mobile, en servidor, Microsoft .NET, de sincronización con sistemas heterogéneos, AJAX, y de almacenamiento en base datos local en móviles, SQLite y en servidor Microsoft SQL Server. Se utilizaron técnicas de minería de datos con la herramienta MATLAB® 7.10.0.499 (R2010a), y así se obtuvo un modelo matemático predictivo y fiable en la toma de decisiones con respecto a la obtención de mayores índices de preñez en bovinos. Palabras clave: Minería de datos, transferencia de embriones bovinos, biotecnología bovina, arquitectura de software distribuida en dispositivos móviles. Abstract Embryo transfer to receptor female cattle has been proved as a practice that raises the incidence of gestations. This study has the objective of developing an informatics system that allows for the capture, analysis and management of information related to the process of embryo transfer that facilitates decision making in this specific process. Data related to the ‘Super-ovulation and embryo transfer in cattle’ was collected, monitored and analyzed, considering all biological variables ex-ante and ex-post a treatment in female donors and receptors. Physical data was digitized and in parallel a process of analysis and design was developed in order to build an information system that allows for real time data collection; using web programming technologies in mobile, HTML5, jQuery Mobile, server, Microsoft. NET, synchronization with heterogeneous systems, AJAX, and storage in mobile local database, SQLite and Microsoft SQL Server. Stored data was analyzed using data mining techniques with MATLAB® 7.10.0.499 (R2010a). By using data mining techniques on biological variables, it was possible to obtain a reliable predictive mathematical model in decision making related to the embryo transfer process that allows to raise the pregnancy success rate in cattle. Keywords: Data mining, cattle embryo transfer, cattle biotechnology, distributed software architecture for mobile devices.

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Konsep Dasar Sistem Informasi Manajemen Serta Implementasinya Dalam Bidang Pendidikan

10.31227/osf.io/3t958 ◽

2019 ◽

Author(s):

Sukma Ap

Keyword(s):

Decision Making ◽

Information System ◽

Processing System ◽

Decision Making Process ◽

Management Information ◽

Input Process ◽

Data Processing System ◽

Process Data ◽

Control Information ◽

And Control

The system is an input, process and also output that is used as a control. Information system is a data processing system that is used to provide information to process data in order to provide concrete information to management. Information is a processed data that is useful in order to assist a management in the planning, operational and control fields. Management Information System is a series of joint steps that collect and create relevant, organized and concrete data that can support the decision making process in an organization. MIS is a group of processes where data is obtained, assessed, and presented for the purpose of decision making in an organization. This MIS is a tool for the purpose of monitoring and directing the company's operations.

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Advanced Studying on Microsoft SQL Server 2008 Data Mining

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.20-23.748 ◽

2010 ◽

Vol 20-23 ◽

pp. 748-752 ◽

Cited By ~ 2

Author(s):

Dong Yun Wang

Keyword(s):

Data Mining ◽

Decision Making ◽

Sql Server ◽

Typical Data ◽

Data Mining Application

Data mining application used by an enterprise is a powerful tool to help and guide your decision making to keep your products and services competitive. This paper introduces the relate contents for data mining and gives out an overview of typical data mining problems and the tools and models that are available in SQL Server 2008 for solving these problems.

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SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN KENAIKAN KELAS DENGAN MENGGUNAKAN METODE TOPSIS PADA SMK YAPIM MABAR

CCIT Journal ◽

10.33050/ccit.v11i2.585 ◽

2018 ◽

Vol 11 (2) ◽

pp. 171-181

Author(s):

Priantoni Hia ◽

Hardianto Hardianto ◽

Ratih Adinda Destari

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support System ◽

Programming Languages ◽

Support System ◽

Sql Server ◽

Process Data ◽

Effective Decision ◽

Student Values ◽

Effective Decision Support

The most important decision-making in schools is class decision making. The old way with the manual system can lead to slow decision-making. This is of course caused by a very basic problem, namely the decision-making is not appropriate. Therefore a decision support system is needed that can help the teacher to determine the class increase. The design of decision support system in this study aims to apply the application to determine the increase of class, To overcome the problem, required a decision support system of computerized class increase which later can produce quality decisions that can process data and student values effectively and efficiently and can measure the ability of students both academically and non academic so that activities that have been done manually can be done using the computer and mistakes in decision-making class increase can be avoided as well as time in determining decision-making class increase much faster and effective. Decision support system is designed using visual basic programming languages 2010 and SQL Server 2008. The process in this study using Topsis method.

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Effectivness of Health Information System Applications: Clinical Information and Diagnosis-Treatment Systems in Turkey

European Journal of Multidisciplinary Studies ◽

10.26417/ejms.v5i1.p122-131 ◽

2017 ◽

Vol 5 (1) ◽

pp. 122

Author(s):

Assist. Prof. Dr. Demokaan DEMİREL

Keyword(s):

Decision Making ◽

Information System ◽

Information Systems ◽

Management Information System ◽

Health Sector ◽

Health Information System ◽

Clinical Information ◽

Clinical Decision ◽

Clinical Information Systems ◽

Management Information

The distinctive quality of the new social structure is that information becomes the only factor of production. In today's organizations, public administrators are directly responsible for applying information to administrative processes. In addition to his managerial responsibilities, a knowledge based organization requires every employee to take responsibility for achieving efficiency. This has increased the importance of information systems in the decision-making process. Information systems consist of computer and communication technology, data base management and model management and include activity processing system, management information system, decision support systems, senior management information system, expert systems and office automation systems. Information systems in the health sector aim at the management and provision of preventive and curative health services. The use of information systems in healthcare has the benefits of increasing service quality, shortening treatment processes, maximizing efficiency of the time, labour and medical devices. The use of information systems for clinical decision making and reducing medical errors in the healthcare industry dates back to the 1960s. Clinical information systems involve processing, storing and re-accessing information that supports patient care in a hospital. Clinical information systems are systems that are directly or indirectly related to patient care. These systems include electronic health/patient records, clinical decision support systems, nurse information systems, patient tracking systems, tele-medicine, case mix and smart card applications. Diagnosis-treatment systems are information-based systems used in the diagnosis and treatment of diseases. It consists of laboratory information systems, picture archiving and communication system, pharmacy information system, radiology information system, nuclear medicine information system. This study aims to evaluate the effectiveness of health information system applications in Turkey. The first part of the study focuses on the concept of information systems and the types of information systems in organization structures. In the second part, clinical information systems and applications for diagnosis-treatment systems in Turkey are examined. Finally, the study evaluates applications in the health sector qualitatively from the new organizational structure, which is formed by information systems.

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IMPLEMENTASI ALGORITMA K-Modes UNTUK MENENTUKAN STRATEGI MARKETING STMIK BUDI DARMA

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v2i1.903 ◽

2018 ◽

Vol 2 (1) ◽

Author(s):

Ewin Karman Nduru ◽

Efori Buulolo ◽

Pristiwanto Pristiwanto

Keyword(s):

High School ◽

Data Mining ◽

High School Students ◽

Marketing Strategy ◽

Process Data ◽

School Students ◽

The North ◽

The Government ◽

Using Data ◽

North Sumatra

Universities or institutions that operate in North Sumatra are very many, therefore, of course, competition in accepting new students is very tight, universities or institutions do certain ways or steps to be able to compete with other campuses in gaining interest from community or high school students who will continue their studies to a higher level. STMIK BUDI DARMA Medan (College of Information and Computer Management), is the first computer high school in Medan which was established on March 1, 1996 and received approval from the government through the Minister of Education and Culture, on July 23, 1996 with operating license number 48 / D / O / 1996, in promoting the campus, the team usually formed a promotion team to various regions in the North Sumatra Region to provide information to the community. Students who have learned in this campus are quite a lot who come from various regions in North Sumatra, from this point the need to process data from students who are active in college to be processed using data mining to achieve a target, one method that can be used in data mining, namely the ¬K-Modes clustering (grouping) algorithm. This method is a grouping of student data that will be a help to campus students in promoting, using the K-Modes algorithm is expected to help and become a reference for marketing in determining the marketing strategy STMIK Budi Darma MedanKeywords: STMIK Budi Darma, Marketing Strategy, K-Modes Algorithm.

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