scholarly journals Sistem Penunjang Keputusan Pelayanan Teknis PT. PLN Dengan Metode Simple Additive Weighting

2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Mike Puji Arni Arni ◽  
Laura Saraswati Nusantara ◽  
M. Roziq Zainuddin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Simple Additive Weighting

Intisari— Pelayanan Teknis adalah satu produk PT. PLN Persero dalam rangka peningkatan pelayananan kepada Pelanggan. Khususnya pada PT. PLN Rayon Gondang Wetan, Pasuruan, pelayanan teknis untuk gangguan berfungsi optimal apabila setiap pengaduan dan keluhan data pelanggan mampu terselesaikan dengan baik. Untuk itu dikembangkan sistem DSS (Decision Support System) agar data gangguan pelanggan dapat dikelola secara benar dan tepat, serta memberikan gambaran kepada Manager dan Supervisor Teknik guna memudahkan pengambilan keputusan. Pada penelitian ini untuk pengelompokan jenis gangguan, gejala gangguan dan variabel lain yang menunjang dalam proses penanganan gangguan digunakan Metode Simple Additive Weighting (SAW). Dengan metode ini, dengan cepat mengetahui gangguan yang sering terjadi untuk cepat ditindak lanjuti dalam proses laporan kepada Pimpinan PT. PLN APJ Pasuruan.

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.

SELEKSI ASISTEN PELATIH BELA DIRI DENGAN PERBANDINGAN METODE AHP (Analytic Hierarchy Process) DAN METODE SAW (Simple Additive Weighting)

2016 ◽  
Vol 1 (1) ◽  
pp. 088
Author(s):  
Wahyu Joni Kurniawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytic Hierarchy ◽  
Assistant Coach ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Selection Of ◽  
Discipline Knowledge

This study was conducted to assist in the selection of martial assistant coach, to determine who is right. Its results will didadaptkan by comparing the two methods in the decision support system, by using the Analytic Hierarchy Process (AHP) and the Simple Additive Weight (SAW) in limiting the problems in producing the desired solution, using multiple criteria (multi-criteria). AHP and SAW has a different way of doing the calculation. This is done to determine which method is looking for help in making decisions. And in this study are the criteria Discipline, Knowledge, Leadership, Attitude, and Level. And there are sub criteria on Level, which Black (AND I) and Red Black II.

Pemilihan Transportasi Bus Antar Kota Antar Provinsi (AKAP) Dengan Metode Simple Additive Weighting (SAW), Weighted Product (WP), dan Promethee Berbasis Android

2021 ◽  
Vol 5 (3) ◽  
pp. 247
Author(s):  
Achmad Riyadi ◽  
Septi Andryana ◽  
Winarsih Winarsih
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Non Local ◽  
Simple Additive Weighting ◽  
Local Companies ◽  
Bus Transportation

The migrants who have increased every year made bus transportation be one of the most widely used transportation for the Wonogiri’s people to go home to their hometowns. In Wonogiri district, bus transportation is available from various companies, ranging from local companies and non local who have primacy facilities, services, and a diverse bus fleet. The application of a decision support system is to make it easier for prospective passengers to make choices according to the desired criteria can be done using the Simple Additive Weighting, Weighted Product, and Promethee methods. The methods calculates the value of each criteria, weight criteria, criteria type, and is easy to apply to solve problems related to multi-criteria. There are 5 criteria used and 17 different bus companies as alternatives. The existence of this system is expected to make it easier for prospective passengers to decide the bus according to the desired criteria.Keywords:Promethee; Simple Additive Weighting; Weighted Product.

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 Decision Support System for "Buleleng Cerdas" Program Social Fund Recipient Candidates with Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) Method

2018 ◽  
Vol 5 (2) ◽  
pp. 213-223
Author(s):  
Aini Aidilah Fitri ◽  
I Made Ardwi Pradnyana ◽  
I Gede Mahendra Darmawiguna
Keyword(s):  
Public Schools ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Scholarship Recipients ◽  
Social Fund ◽  
Private And Public ◽  
Student Assistance ◽  
Simple Additive Weighting ◽  
Hierarchy Process

BAZNAS in Buleleng Regency has a problem program "Buleleng Cerdas". The problems are to make a decision to choose prospective scholarship recipients. The program activities include Student Assistance, One Family One Scholar, and Student Assistance with Achievement. The problems that arise because the selection of the prospective recipients are still manual and the assessment of the final results obtained is relatively long, still difficult to identify prospective recipients who are eligible in accordance with the existing quota, because the candidates Scholarship recipients are spread in the Buleleng region for private and public schools. The purpose of this research is to develop a Decision Support System for "Buleleng Cerdas" Program Social fund Recipient Candidates with AHP and SAW Method and to know the responsiveness of users. This system is supported by a method of decision making, namely the AHP method which is used to find the weights in each criterion, and the ranking calculation with the SAW method. For the testing process, four test process stages are performed: (1) black box test, (2) white box test  (3) test UEQ percentage is positive impression & SUS percentage is 93%, (4) suitability testing of manual calculations on the system is appropriate.

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 Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Berbasis Website dengan Metode Simple Additive Weighting

2018 ◽  
Vol 8 (1) ◽  
pp. 34
Author(s):  
Razqa Lathif Pradana ◽  
Dwi Purwanti ◽  
Arif Arfriandi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Automatic System ◽  
National Level ◽  
Black Box ◽  
Black Box Testing ◽  
Simple Additive Weighting ◽  
Selection Of

Generally, the selection of outstanding students in every school still uses the report value as the reference and it is done manually. It is required a system that may select the outstanding students accordance with the criteria and done automatically. In this study, it was developed an automatic system for selecting outstanding students by using Simple Additive Weighting (SAW) concept. The criteria set by the school in the selection of outstanding students are the average of the first and the second semester score, the achievements on district, city, and national level, liveliness in the organization and extracurricular, and credit point of attitude. Method of investigation used in this study is R & D, including introduction study, the development of system consisting of the application of SAW method and designing waterfall method, and testing of system which done by testing the comparison of the result and respond of users. The result of black box testing showed that all functionality in the system run well and appropriate; while for the white box showed that all paths run in accordance with SAW method. For the result of the comparison testing showed that the validation level was 100%. The result of the users respond revealed that the average of teacher responds was 90% and the students respond was 80, 34%. Therefore it can be concluded that decision support system by using SAW method can determine the outstading students.

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