scholarly journals Perancangan Sistem Pendukung Keputusan Dalam Memilih Sekolah Tinggi Ilmu Kesehatan di Yogyakarta

2015 ◽  
Vol 1 (2) ◽  
pp. 154
Author(s):  
Norhikmah Norhikmah ◽  
Kusrini Kusrini ◽  
M. Rudyanto Arief
Keyword(s):  
High School ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
School Health ◽  
Health Sciences ◽  
Health Science ◽  
Decision Making Process ◽  
High Ranking

Seorang calon mahasiswa yang ingin melanjutkan jenjang pendidikannya ke sekolah tinggi ilmu kesehatan bukan suatu persoalan yang mudah, banyak pertimbangan yang harus dipertimbangkan seperti biaya selama perkuliahan, lowongan perkerjaan, kerjasama kampus tersebut dengan instansi terkait, dan lain-lain. Sampel kriteria yang digunakan dalam perancangan prototipe sistem pendukung keputusan dalam memilih Sekolah Tinggi Ilmu Kesehatan (STIKES) adalah kriteria yang didapatkan dari jawaban kuesioner sesuai dengan hasil uji validitas disetiap variable kriterianya. Proses pengambilan keputusan dalam memilih sekolah tinggi ilmu kesehatan ini menggunakan penggabungan 2 metode yaitu AHP dan F-AHP yang memiliki tujuan agar dapat mengurangi penilaian secara subyektivitas dan mengecek konsistensi logic antar kriteria maupun subkriteria, sehingga dapat menghasilkan ranking sekolah tinggi ilmu kesehatan yang lebih objektif, serta dapat membantu memberikan rekomendasi STIKES mana yang layak untuk dipilih.A prospective student who wants to continue his education to high school health science is not an easy matter, many considerations that must be taken into account as expenses for tuition , job vacancies , the campus co-operation with relevant agencies , and others . Sample criteria used in the design of a prototype decision support system in choosing the College of Health Sciences ( STIKES ) is the criterion obtained from the results of the questionnaire were tested for validity every variable criteria. The decision making process in choosing a high school health science using two methods , namely the incorporation of F - AHP and AHP which has the aim to reduce the subjectivity of assessment and check the consistency between the criteria and sub-criteria , so as to produce a high- ranking school objectives of health sciences , as well as STIKES can help provide recommendations which are feasible for selected.

scholarly journals Sistem Pendukung Keputusan Penyeleksian Colour Guard Pada Marching Band Ginada Dengan Menggunakan Metode Vikor Dan Borda

2020 ◽  
Vol 2 (1) ◽  
pp. 35-48
Author(s):  
Nurjannah ◽  
Dito Putro Utomo
Keyword(s):  
High School ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Body Language ◽  
Routine Activity ◽  
Decision Making Process ◽  
Marching Band

Decision support system for selecting color guard with VIKOR and Borda methods. It has been made as a tool to select color guard at the Sei Rampah High School. The criteria used in the decision support system for color guard selection are: height, weight, agility, stamina, and body language. Color guard selection activities are a routine activity every year, so GINADA marching band coach Sei Rampah hereby selects to select permanent members in the marching band. Decision Support System in an organization can be seen as important in supporting the smooth running of activities and achieving an organizational goal. SPK can come in various forms, ranging from simple forms of data processing to complex application forms, and can also be used to accelerate and improve the quality of the decision-making process in the organization.

scholarly journals A Clinical Decision Support System based on Ontology and Causal Reasoning Models

2019 ◽  
Vol 14 (2) ◽  
pp. 187-197
Author(s):  
Nur Raidah Rahim ◽  
Sharifalillah Nordin ◽  
Rosma Mohd Dom
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Clinical Decision Support ◽  
Support System ◽  
Clinical Decision Support System ◽  
Causal Reasoning ◽  
Clinical Decision ◽  
Decision Making Process ◽  
Graphical Modeling

  Clinical decision support system (CDSS) is promising in assisting physicians for improving decision-making process and facilitates healthcare services. In medicine, causality has become the main concern throughout healthcare and decision-making. Causality is necessary for understanding all structures ofscientific reasoning and for providing a coherent and sufficient explanation for any event. However, thereare lack of existing CDSS that provide causal reasoning for the presented outcomes or decisions. Theseare necessary for showing reliability of the outcomes, and helping the physicians in making properdecisions. In this study, an ontology-based CDSS model is developed based on several key concepts andfeatures of causality and graphical modeling techniques. For the evaluation process, the Pellet reasoneris used to evaluate the consistency of the developed ontology model. In addition, an evaluation toolknown as Ontology Pitfall Scanner is used for validating the ontology model through pitfalls detection.The developed ontology-based CDSS model has potentials to be applied in clinical practice and helpingthe physicians in decision-making process. Keywords: clinical decision support system, ontology, causality, causal reasoning, graphical modeling

scholarly journals UML-МОДЕЛЮВАННЯ СИСТЕМИ ПРИЙНЯТТЯ РІШЕНЬ В МЕДИЧНИХ НАУКОВИХ ДОСЛІДЖЕННЯХ

2015 ◽  
Author(s):  
V. P. Martsenyuk ◽  
I. Ye. Andrushchak ◽  
О. M. Kuchvara
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Medical Research ◽  
Support System ◽  
Systems Analysis ◽  
Software Implementation ◽  
Decision Making Process

There was fulfilled systems analysis of decision making process for systemic medical research. The structure of the system was analysed. There were executed project research with help of UML-tools, allowing to fulfill project and software implementation of decision support system.

scholarly journals DESAIN DSS (DECISION SUPPORT SYSTEM) MENGGUNAKAN METODE PROFILE MATCHING UNTUK PENENTUAN PENERIMA BEASISWA DI POLITEKNIK NEGERI SAMARINDA

2020 ◽  
Vol 2 (1) ◽  
pp. 10
Author(s):  
Muchamad Zainul Rohman
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Decision Making Process ◽  
Multi Criteria Decision Making ◽  
Profile Matching ◽  
To Receive

The scholarship selection process of Politeknik Negeri Samarinda are constraints on the decision-making process. This is because there is no objective method to determine quickly and precisely. To assist in the determination of the set someone worthy scholarship in this study will be design DSS (Decision Support System) with model of Multi-Criteria Decision Making. The method used is the method Profile Matching. Profile Matching methods have been able to select the best alternative from a number of alternatives, in this case meant that alternatives are eligible to receive scholarships based on the criteria specified. Research carried out by finding the weights for each sub-aspect, then carried ranking process that will determine the optimal alternative, the best students will be considered by decisionmakersto get a scholarship. Proses seleksi beasiswa di Politeknik Negeri Samarinda banyak terdapat kendala pada proses pengambilan keputusan. Hal ini dikarenakan belum ada metode objektif yang dapat memutuskan dengan cepat dan tepat. Untuk membantu penentuan dalam menetapkan seseorang yang layak menerima beasiswa maka dalam penelitian ini akan didesainkan DSS (Decision Support System) dengan model Multi Criteria Decision Making. Metode yang digunakan adalah metode Profile Matching. Metode Profile Matching dipilih karena mampu menyeleksi alternatif terbaik dari sejumlah alternatif, dalam hal ini alternatif yang dimaksudkan yaitu yang berhak menerima beasiswa berdasarkan kriteria-kriteria yang ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap sub aspek, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu mahasiswa terbaik yang akan dipertimbangkan oleh pengambil keputusan untuk mendapatkan beasiswa.

scholarly journals Designing Decision Support System for Midwifery Students’ Tuition Fees Problem

2021 ◽  
Vol 5 (02) ◽  
pp. 157-171
Author(s):  
Chandrawati Putri Wulandari
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Decision Makers ◽  
Automated System ◽  
Decision Making Process ◽  
Tuition Fees ◽  
Process Information ◽  
Decision Alternatives

Education is an essential need and an important element to create a broad-minded youth. While in Indonesia, the rate of tuition fees is still imbalanced with the economic rate. Thus, many people decided to discontinue their higher education. Decision making plays an important role to manage organizations, including in educational institutions, as one of the main duties in managerial is making decisions. This study took place in a midwifery academy in Malang. In response to this situation, the academy has a policy to alleviate students by paying the tuition fees in instalments. However, many students are in arrears as the result of this policy. Thus, management needs to take some consideration before making a decision toward the problem. Those considerations require high accuracy and time consuming to process information that support decision making. Currently, the decision-making process in this academy is still semi-automated, in which some processes are still done manually, which affect longer time to make decisions, and the accuracy of calculations could not be fully guaranteed. According to this condition, the purpose of this research is to design a decision support system that enables us to process information for decision making and to offer decision alternatives for decision makers. This research employs Systems Development Life Cycle (SDLC) with a decision table as a method to create decision alternatives. The prototype was developed using Visual Studio C#.Net. The result shows that by using the proposed prototype of DSS, decision makers can reduce 5-10 minutes of decision making process compared to the old semi-automated system which still required manual calculation and data collection and analysis before making the decision. A complete data and more detailed parameters for decision criteria are required to implement the proposed prototype of DSS in the institution with more objective consideration in the decision making process as the future work.

Research of Decision Support System Based on Knowledge Management and Web Technology

2013 ◽  
Vol 321-324 ◽  
pp. 2357-2360
Author(s):  
Zhi Dan Wu
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Web Technology ◽  
Decision Making Process ◽  
New Model ◽  
Model Based ◽  
S Model

This paper gives a new model of decision support system based on knowledge management and web technology. Firstly,we analysis the existing problem of the efficiency and expandability of the current system.Then, we study the knowledge management and the B/S model based on web technology.Based on this, a new model of decision support system is presented in this paper. The system is designed in four layers structure and on three library.Finally, the paper describes the structure of the system and gives the detailed steps of decision-making process.

scholarly journals Penentuan Kelayakan Jagung Biji Untuk Pakan Ternak Dengan Metode Fuzzy Saw

JURTEKSI ◽  
2017 ◽  
Vol 4 (1) ◽  
pp. 79-84
Author(s):  
Widiarti Rista Maya ◽  
Ahmad Fitri Boy
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Raw Materials ◽  
Raw Material ◽  
Decision Making Process ◽  
Weighting Method ◽  
Long Time ◽  
Simple Additive Weighting

Abstract: In the decision making process of the feasibility of corn raw materials so far only see the physical raw materials tend to be subjective so that in the decision making process of the feasibilityof corn raw materials must take a long time , sometimes the decision taken is not appropriate so that this needs to be addressed again for the feasibility of corn raw materials. From the description above need to be made an auxiliary program for decision support system by using fuzzy SAW ( Simple Additive Weighting ) method in determining corn raw material that is acceptable to PT. Charoen Phokpand Indonesia. Program which will be made more to assist manager or staff in taking decision and not replace it. The results of this study are expected to assist managers or staff in making decisions for the process of assessing the feasibility of corn raw materials in PT. Charoen Phokpand Indonesia so as to improve the quality of human resources. Keywords: corn raw materials, decision support system, fuzzy saw method Abstrak: Dalam proses pengambilan keputusan kelayakan bahan baku jagung selama ini hanya melihat fisik bahan baku yang cenderung subjektif sehingga dalam proses pengambilan keputusan kelayakan bahan baku jagung harus membutuhkan waktu yang cukup lama, terkadang keputusan yang diambil tidak tepat sehingga hal ini perlu dibenahi lagi untuk proses pengambilan keputusan kelayakan bahan baku jagung. Dari uraian diatas perlu dibuat suatu program bantu untuk sistem pendukung keputusan dengan menggunakan metode fuzzy SAW (Simple Additeve Weighting) dalam menentukan bahan baku jagung yang layak diterima pada PT. Charoen Phokpand Indonesia. Program yang akan dibuat lebih bersifat untuk membantu manager atau staff dalam pengambilan keputusan dan bukan menggantikannya. Hasil dari penelitian ini diharapkan dapat membantu manager atau staff dalam mengambil keputusan untuk proses penilaian kelayakan bahan baku jagung pada PT. Charoen Phokpand Indonesia sehingga dapat meningkatkan kualitas sumber daya manusia. Kata kunci: Bahan baku jagung, Sistem Pendukung Keputusan, metode fuzzy SAW

scholarly journals APLIKASI PENDUKUNG KEPUTUSAN PENENTUAN PROMOSI JABATAN MENGGUNAKAN METODE PROFILE MATCHING (STUDI KASUS DI PT. PETROKIMIA GRESIK)

2019 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Wimpi Sancaka
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Large Scale ◽  
Gap Analysis ◽  
Assessment System ◽  
Decision Making Process ◽  
Matching Method ◽  
Profile Matching

Human resources play an essential role in helping companies to achieve their vision and mission. As a large scale company, PT Petrokimia Gresik obviously needs to invest in Employees’ Performance Assessment System. It could act as a decision-making tool or a measure to evaluate and assess employees' performance at work so that theemployees’ promotion would be moreobjective and organized. Decision support system could be used to reduce the subjectivity in decision-making process. The decision support system that uses profile matching method or competency gap analysis was created based on the data which refers to the decree of the board of directors issued by PT Petrokimia Gresik. This system analyzes and assesses employee’s competencies by grouping and calculating core factors and secondary factors in each variable. The output of the calculation is a ranking of the candidates. By implementing decision support system which uses Profile Matching method, it assists company decision-making process in promotion decision based on employees’ competency scores more optimally.

scholarly journals Agent based Decision Support System for Travelers

2020 ◽  
pp. 293-298
Author(s):  
Thi Thi Tun ◽  
Prof Thwe
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Intelligent Agents ◽  
Decision Making Process ◽  
Agent Based ◽  
Travel Planning

Nowadays, management of the travelers to support their recreation or holiday planning is increasingly becoming important and popular. Planning a trip needs to assemble a wide variety of information from a large number of sources, such as car schedule and prices, hotel locations, the map of traveled places, etc. Now, this information is available in this system and it can be used to decide a better plan traveler. Decision support systems are the type of information systems expressly developed to support the decision making process and to assist a decision maker. So, this system is implemented as the decision support system for travelling. Moreover, this system describes the use of intelligent agents for extracting and integrating data to improve the ability to plan a travel. These agents can extract data, integrate this data to support travel planning and monitor all aspects of a trip. Therefore, a traveler decision support system by using intelligent agents will develop to support travelers in making their decision on a suitable track when they are faced with a number of alternative track options.

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