scholarly journals Decision Support System to Choose Digital Single Lens Camera with Simple Additive Weighting Method

2016 ◽  
Vol 3 (2) ◽  
pp. 167-176
Author(s):  
Tri Pina Putri ◽  
Paulina H. Prima Rosa
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Decision Process ◽  
Weighting Method ◽  
Web Based ◽  
Single Lens ◽  
Simple Additive Weighting ◽  
The Cost

One of the technologies that evolve today is Digital Single Lens Reflex (DSLR) camera. The number of products makes users have difficulties to choose the appropriate camera based on their criteria. Users may utilize several ways to help them choosing the intended camera such as using magazine, internet, and other media. This paper discusses about a web based decision support system to choose cameras by using SAW (Simple Additive Weighting) method in order to make the decision process more effective and efficient. This system is expected to give recommendations about the camera which is appropriate with the users need and criteria based on the cost, the resolution, the feature, the ISO, and the censor. The system was implemented by using PHP and MySQL. Based on the result of questionnaire distributed to 20 respondents, 60% respondents agree that this decision support system can help users to choose the appropriate camera DSLR in accordance with the users need, 60% of respondents agree that this decision support system is more effective to choose DSLR camera and 75% of respondents agree that this system is more efficient. In addition, 60.55% of respondents agree that this system has met 5 Es Usability Framework.

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 Determination Decision Support System Using The School Fees Spp Simple Additive Weighting (SAW)

2020 ◽  
Vol 2 (2) ◽  
pp. 177-182
Author(s):  
Ika Puspita ◽  
Arjon Samuel Sitio
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Educational Institution ◽  
Educational Institutions ◽  
Tuition Fees ◽  
Weighting Method ◽  
Education Agency ◽  
Simple Additive Weighting ◽  
The Cost

School tuition fees are very influential on an educational institution, without the cost of school tuition fees experiences how an education agency Difficulties for students who can not afford. In making decisions 1 to Determine the cost of school tuition, especially in educational institutions. In educational institutions need to be supported by how much the school tuition fees will be paid. Educational institutions still Determine tuition fees manually. From the above problems, a decision support system (DSS) was made using the Simple Additive weighting method. Based on the calculation using the Simpe Additive weighting method for school tuition fees, the Reviews largest value is 2:55, 2.55so that alternatives A3, A5 are the alternatives to be chosen as alternatives entitled to pay school fees. Namely Citra Dewi,112 067.

Perancangan Sistem Pendukung Keputusan Pemilihan Pelanggan Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Pada Bravo Supermarket Jombang

2016 ◽  
Vol 2 (1) ◽  
pp. 40
Author(s):  
Fatikhatus Sholikhah ◽  
Diema Hernyka Satyareni ◽  
Chandra Sukma Anugerah
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Customer Loyalty ◽  
Design Decision ◽  
Web Based ◽  
Business World ◽  
Election System ◽  
Simple Additive Weighting ◽  
The Town

Abstrak Persaingan merupakan hal yang biasa terjadi terutama dalam dunia bisnis, tidak terkecuali yang telah dialami oleh Bravo Supermarket Jombang. Bravo bukanlah satu-satunya supermarket di kota Jombang, sehingga Bravo harus bersaing dengan para kompetitornya agar Bravo bisa bersaing dan tetap produktif. Salah satu cara yang dapat digunakan dalam meningkatkan penjualan dan loyalitas pelanggan adalah dengan memberikan reward kepada para pelanggan terbaik. Oleh karena itu perlu dibuatlah sebuah perancangan sistem pendukung keputusan dalam pemilihan pelanggan terbaik pada Bravo. Dalam perancangan sistem yang dibuat nantinya berbasis web dengan metode SAW(Simple Additive Weighting)sebagai proses perhitungan pemilihan pelanggan terbaik. Hasil dari perancangan sistem pemilihan pelanggan terbaik pada Bravo Supermarket Jombang diharapkan dapat membantu pihak manajemen Bravo dalam pemilihan pelanggan terbaik yang akan menerima reward dan akhirnya akan mampu meningkatkan loyalitas pelanggan dan profit Bravo. Kata kunci: Bravo, sistem pendukung keputusan, pelanggan, SAW. Abstract Competition is a common thing, especially in the business world, is no exception has been experienced by Bravo Supermarket Jombang. Bravo is not the only supermarket in the town of Jombang, so that Bravo had to compete with its competitors in order Bravo to compete and remain productive. One way that can be used to increase sales and customer loyalty is to give rewards to the best customers. Therefore, it needs to be made to a design decision support system in the selection of the best customers on Bravo. In designing the system made later on a web-based method of SAW (Simple Additive weighting) as the process of calculating the best customer selection. The results of the election system design best customers at Bravo Supermarket Jombang expected to assist management in selecting the best customer Bravo who will receive rewards and will eventually be able to increase customer loyalty and profit Bravo. Key word: Bravo, decision support system, customers, SAW.

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 The Hotel Recommendation System Using SAW (Simple Additive Weighting) And TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) Method

bit-Tech ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 131-145
Author(s):  
Aditiya Hermawan ◽  
Evan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Recommendation System ◽  
Solution Method ◽  
Test Results ◽  
Economic Sectors ◽  
Web Based ◽  
Search Site ◽  
Simple Additive Weighting

Tourism is one of the important economic sectors in Indonesia that needs to be developed. This is based on data of the number of tourist visits from “Kementrian Pariwisata Republik Indonesia” website that the number of tourists in Indonesia is very much and continues to increase over time. Due to the increasing number of tourist visits from various places, makes many entrepreneurs are competing to establish a hotel as a place of business with variety of  price, class, facility and service. Then, the growth of the hotels became very rapid. With so many choices of the hotels, of course it will cause a problems for tourists to decide which hotel is suitable with the desired criteria. With the development of information technology in this era of globalization, technology should be utilized to solve this problem as a decision support system that can recommend which hotel is the most suitable from the tourist desires. The hotel data to be used in this research comes from hotel search site. The methods used for this decision support system are SAW and TOPSIS methods. The reason for using this methods is because SAW has the ability to assess more accurately because it is based on criteria and the computation of TOPSIS method is efficient and fast. The criteria used on choosing the hotel are price, facilities and class. The results of this research has been generated as a web-based application for hotel recommendation. Based on the test results of this hotel recommendation system application, this application works as expected.

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.

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