scholarly journals Hybrid Method for Mobile learning Cooperative: Study of Timor Leste

2018 ◽  
Vol 31 ◽  
pp. 10005 ◽  
Author(s):  
Ofelia Cizela da Costa Tavares ◽  
Suyoto ◽  
Pranowo
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Learning Process ◽  
Mobile Application ◽  
Modern World ◽  
Application Development ◽  
Weighting Method ◽  
Timor Leste ◽  
Credit Cooperatives

In the modern world today the decision support system is very useful to help in solving a problem, so this study discusses the learning process of savings and loan cooperatives in Timor Leste. The purpose of the observation is that the people of Timor Leste are still in the process of learning the use DSS for good saving and loan cooperative process. Based on existing research on the Timor Leste community on credit cooperatives, a mobile application will be built that will help the cooperative learning process in East Timorese society. The methods used for decision making are AHP (Analytical Hierarchy Process) and SAW (simple additive Weighting) method to see the result of each criterion and the weight of the value. The result of this research is mobile leaning cooperative in decision support system by using SAW and AHP method. Originality Value: Changed the two methods of mobile application development using AHP and SAW methods to help the decision support system process of a savings and credit cooperative in Timor Leste.

scholarly journals Decision Support System for an Art University

2021 ◽  
Vol 1 (2) ◽  
pp. 8-12
Author(s):  
Svetlana E. Vecherskaya
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Special Needs ◽  
Support System ◽  
Learning Process ◽  
Performance Indicators ◽  
Educational Process ◽  
Learning Plan ◽  
Specific Performance ◽  
Talented Students

A prototype of an automated decision support system for creative universities has been developed, which will allow assessing the achievements particularly talented students and identifying the needs in the learning process in order to help organize the educational process in accordance with identified capabilities. Use of a decision support system based on the Bayesian classifier is suggested which will allow to evaluate factors contributing to the progress in teaching students particular techniques, and in perspective to assess the possible resources that will be required to make changes to the learning. The list of specific performance indicators is given. The system should contribute to the formation of the learning plan, taking into account the capabilities of both a group art workshop as a whole, and special needs of an individual to develop, if necessary an individual approach.

scholarly journals DECISION SUPPORT SYSTEM IN ASSESSMENT OF EMPLOYEE PERFORMANCE AT MNC GROUP USING SAW (SIMPLE ADDITIVE WEIGHTING) METHOD USING WHITE BOX TESTING

2018 ◽  
Vol 3 (1) ◽  
pp. 125-138
Author(s):  
Nur Roqim
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Support System ◽  
Employee Performance ◽  
Weighted Sums ◽  
Risk Level ◽  
Weighting Method ◽  
White Box Testing ◽  
Simple Additive Weighting

MNC Group as a television media company, performs performance appraisal for each employee as a job evaluation material, which is carried out by the head of the division, one of which is the head of the technical division of 112 other employees. The process of evaluating employee performance at MNC Group is still done manually, which is using Microsoft Excel applications one by one which makes the length of the process. The employee's assessment and appraisal report does not display the ranking from the top to the bottom of all of the employees. Decision support system in evaluating employee performance in MNC Group using the SAW (Simple Additive Weighting) method with this white box test is made to assist the head of the division to expand employee appraisal capabilities. The employee performance appraisal process is carried out in a computerized, structured and systematic manner based on the assessment criteria previously determined by the MNC Group, namely the quantity of work, accuracy & time management, quality of work and efficiency. The SAW (Simple Additive Weighting) method is a weighted addition method by looking for weighted sums of performance ratings on each alternative on all attributes. So that it can be obtained from every employee at MNC Group. Testing of system results that have been made is very necessary to know that the system is running well. Tests carried out are white box testing which is based on checking the details of the design, using the control structure of the program design procedurally to divide the test into several test cases. So that the value of the test results is known, namely 2 with the type of procedure is a simple procedure and the risk level is low risk.

scholarly journals Simple Additive Weighting to Diagnose Rabbit Disease

2018 ◽  
Vol 31 ◽  
pp. 10002 ◽  
Author(s):  
Ramadiani ◽  
Dyna Marissa ◽  
Muhammad Labib Jundillah ◽  
Azainil ◽  
Heliza Rahmania Hatta
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
General Public ◽  
Disease Diagnosis ◽  
Weighting Method ◽  
Web Based ◽  
System Recommendation ◽  
Simple Additive Weighting ◽  
The Many

Rabbit is one of the many pets maintained by the general public in Indonesia. Like other pet, rabbits are also susceptible to various diseases. Society in general does not understand correctly the type of rabbit disease and the way of treatment. To help care for sick rabbits it is necessary a decision support system recommendation diagnosis of rabbit disease. The purpose of this research is to make the application of rabbit disease diagnosis system so that can help user in taking care of rabbit. This application diagnoses the disease by tracing the symptoms and calculating the recommendation of the disease using Simple Additive Weighting method. This research produces a web-based decision support system that is used to help rabbit breeders and the general public.

scholarly journals THE IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING METHOD IN THE SELECTION OF REHABILITATION FUND RECIPIENTS FOR UNINHABITABLE HOME

2019 ◽  
Vol 10 (1) ◽  
pp. 309-318
Author(s):  
Dwi Krisbiantoro ◽  
Wiga Maulana Baihaqi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Rehabilitation Program ◽  
Weighting Method ◽  
The Family ◽  
Selection Decision ◽  
Simple Additive Weighting ◽  
To Receive

The rehabilitation program is one of the programs given to people who have homes that are not habitable. They are usually from poor families with low economic income. In this program, the family will receive funds to rehabilitate their home. However, as long as the program is running, various problems have been encountered, including those who received fund sometimes received back the fund for rehabilitation funds. This is of course not in accordance with regulations that only allow applicants to receive the fund once. Based on this problem, a decision support system was made to select potential recipients of rehabilitation funds for uninhabitable house. By using the SAW method which is based on the value of criteria and preference weights, an appropriate assessment and ranking can be obtained after going through the selection process of assessing the weight of each attribute. The support for the selection decision for receiving uninhabitable rehabilitation fund was generated in this study. Decision making to determine beneficiaries was facilitated by the existence of a decision support system that was submitted, so that the fund provided was targeted at those entitled to receive uninhabitable rehabilitation fund.

scholarly journals Decision Support System for Determination of Salaries Employees in Civil Service Police Unit Deli Serdang With Simple Additive weighting method (SAW)

2020 ◽  
Vol 2 (1) ◽  
pp. 107-113
Author(s):  
Mifta Reza Yolanda ◽  
R. Mahdalena Simanjorang
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Civil Service ◽  
Preference Weight ◽  
Weighting Method ◽  
Simple Additive Weighting

This study examines how to design an application for the Deli Serdang Civil Service Police Unit in order to Facilitate the Process of Determining Salaries employee. With this application, it is hoped that it will make it Easier for the Office to Determine the determination of employee Salaries so that it is faster and more accurate. The SAW method certainly uses a more Appropriate assessment Because it is based on a criterion value of a predetermined preference weight. With the existence of accurate the data will be Able to minimize the time wasted and Be Able to use the system that is being designed. Data managed in the Office still uses Excel so that in its implementation the the data is still vulnerable to being scattered and the possibility of vulnerability to damage and loss of data.

scholarly journals Penerapan Algoritma Simple Additive Weighting untuk Membantu Dalam Menentukan Calon Penerima Bantuan Pangan Non Tunai

2020 ◽  
Vol 6 (1) ◽  
pp. 37
Author(s):  
Andri Andreas ◽  
Antonius Wiryadinata ◽  
Halim Agung
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Weighting Method ◽  
Technical Problems ◽  
The Government ◽  
Food Needs ◽  
Simple Additive Weighting ◽  
To Receive

Bantuan Pangan Non Tunai (BPNT) is a program organized by the government in overcoming poverty and food needs. The BPNT program aims to reduce the burden of expenditure and provide more balanced nutrition to Beneficiary Families (KPM). However, in the implementation of the BPNT program there were still technical problems, including the determination of potential BPNT recipients who were wrongly targeted. To facilitate Government in determining prospective BPNT recipients, the authors make a decision support system using the Simple Additive Weighting method where this system generates ranking to choose citizens who are entitled to receive BPNT through calculating the criteria of each alternative. It is expected that this application can provide recommendations for prospective BPNT recipients who are more targeted.

scholarly journals Sistem Pendukung Keputusan Rekomendasi Emiten Saham Menggunakan Metode Simple Additive Weighting

2021 ◽  
Vol 2 (3) ◽  
pp. 321
Author(s):  
Renny Puspita Sari ◽  
Muhamad Rabil Maulana
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Decision Makers ◽  
Financial Ratios ◽  
Weighting Method ◽  
Stock Recommendations ◽  
The Future ◽  
Simple Additive Weighting ◽  
The Many

In the current era, stock investing is an instrument that is currently popular with Indonesian youth, stock investing is one of the many investment options that are increasingly in demand by various groups. Investing in stocks is an activity to refrain from enjoying the present for more enjoyment in the future, this investment often brings someone to be wiser in managing their finances, choosing good stocks is not an easy thing for some investors it takes many factors and ratios - financial ratios to choose stocks that can provide financing by the initial investment objectives. Therefore we need a system to help these problems. The system is a decision support system that can assist in making decisions from the available options. This Stock Issuer Recommendation Decision Support System Using the Simple Additive Weighting Method is here to assist decision-makers to choose good issuers or stocks to collect so that they can provide good profits in the future. The results of the calculation on the system using the Simple Additive Weighting method will show the best suitable stock recommendations for the user based on the data they enter.

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