scholarly journals PENENTUAN NASABAH PENERIMA REWARD PRODUK GOLD DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) STUDI KASUS : PT. PINJAM INDONESIA

Petir ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 1-9
Author(s):  
Redaksi Tim Jurnal

As an appreciation to their customer, PT Pinjam Indonesia has a Gold product. Gold is a product that allows customer to get 10% discount of total bill every 6 months, and is given to two customers. Until now, PT Pinjam Indonesia has difficulties in deciding which customer from Online mortgage system deserves to be rewarded with the Gold product, this problem occurs because of the many numbers of customer in the system. Therefore, Decision Support System is needed to help speed up and make the deciding process easier. Decision Support System decide the highest alternative value that deserves to receive the Gold product using the Simple Additive Weighting (SAW) method wtih prescribedcriterias. The basic concept of Simple Additive Weighting (SAW) method is to find the weighted additive from performance rating of every alternative’s attributes. SAW method needs a normalization process of the decision matrix to a scale that can be compared with every rated alternatives. A calculation process is applied to all the criterias to get the result of which alternative is best to receive the Gold product. This method could help the decision making process to be more objective.

2018 ◽  
Vol 31 ◽  
pp. 10002 ◽  
Author(s):  
Ramadiani ◽  
Dyna Marissa ◽  
Muhammad Labib Jundillah ◽  
Azainil ◽  
Heliza Rahmania Hatta

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.


2019 ◽  
Vol 10 (1) ◽  
pp. 309-318
Author(s):  
Dwi Krisbiantoro ◽  
Wiga Maulana Baihaqi

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.


2020 ◽  
Vol 3 (3) ◽  
pp. 95-105
Author(s):  
Fernando B Siahaan

Reward is a form of appreciation given by the company to its employees for the achievements given in a certain period, this gift is a form of motivation to all employees to show their performance at the company. The problem is that there is no system for conducting an assessment because it is still manual, a decision support system is needed to determine employee performance appraisals based on criteria set by the company. Simple additive weighting is the best method to perform weighted summation of the performance rating of each alternative on the attribute. The purpose of this study was to determine the assessment of the criteria for the best employees to receive rewards using simple additive weighting. In the discussion, it is explained that the criteria for evaluating employee performance consist of competence, responsibility, behavior, cooperation and discipline. The conclusion is that the best employees are Brother Fredy's after adding the preference values of each leader, namely 1.46, 1.53 and 1.58 with a total value of 4.57, this assessment follows the criteria set by the company for all its employees.


2020 ◽  
Vol 6 (1) ◽  
pp. 37
Author(s):  
Andri Andreas ◽  
Antonius Wiryadinata ◽  
Halim Agung

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.


2021 ◽  
Vol 2 (3) ◽  
pp. 321
Author(s):  
Renny Puspita Sari ◽  
Muhamad Rabil Maulana

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.


2020 ◽  
Vol 5 (1) ◽  
pp. 54
Author(s):  
Liesnaningsih Liesnaningsih ◽  
Rohmat Taufiq ◽  
Rachmat Destriana ◽  
Aditya Prayoga Suyitno

Scholarships are a work program in every school or madrasa. The scholarship program is held to ease the burden on students in pursuing their studies especially in financial costs. Scholarships are given to students in a selective manner in accordance with the type of scholarships held. Distribution of scholarships is carried out by several institutions to help someone who is less capable or achievers during his studies. Based on this to help determine in determining a student to get a scholarship, then a decision support system is needed. The model used in this decision support system is simple additive weighting, this method is often also known as the weighted sum method, the basic concept of this method is to find the weighted sum of the ranking of performance on each alternative on all attributes. This method was chosen because it is able to select the best alternative from a number of alternatives, in this case the intended alternative is the one who is entitled to receive a scholarship based on specified criteria.


Respati ◽  
2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Veny Cahya Hardita ◽  
I Wayan Pandu Swardiana ◽  
Kusrini Kusrini

INTISARIKompetisi siswa berprestasi merupakan ajang setiap tahun untuk para siswa menengah kejuruan dalam unjuk kemampuan mereka dalam bidangnya. Banyaknya siswa dari berbagai jurusan yang mengikuti seleksi lomba kompetensi, sehingga dalam proses seleksi pelaksanaan menjadi kurang optimal dalam segi proses penilaian dan penentuan keputusan akhir. Sehingga diputuskan untuk menggunakan sistem pendukung keputusan pemilihan calon peserta lomba siswa berprestasi yang dapat digunakan untuk membantu sekolah dalam menentukan siswa mana yang layak untuk mengikuti kompetisi tersebut. Metode yang digunakan yaitu Simple Additive Weighting. Metode ini merupakan metode penjumlahan berbobot. Metode ini membutuhkan proses normalisasi matriks keputusan (x) ke suatu skala yang dapat dibandingkan dengan semua rating alternatif yang ada. Hasil penelitian yaitu berupa perangkingan siswa mana yang cocok sebagai calon peserta lomba. Dalam penelitian ini, siswa yang terpilih yaitu Siswa ketiga dengan nilai akhir perhitungan yaitu 13,5. Sistem yang dibangun pada penelitian ni telah sesuai dengan perhitungan manual sehingga sistem ini dikatakan telah berhasil diterapkan.Kata kunci— kompetisi siswa, Simple Additive Weighting, Sistem Pendukung Keputusan. ABSTRACTOutstanding student competition is an event every year for middle students in demonstrating their abilities in their fields. The number of students from various departments participated in the competency selection process, so that in the implementation selection process it was less than optimal in terms of the assessment process and final decision making. So it was decided to use a decision support system for the selection of outstanding student candidates who could be used to assist schools in determining which students were eligible for the competition. The method used is Simple Additive Weighting. This method is a weighted addition method. This method requires the process of normalizing the decision matrix (x) to a scale that can be compared with all available alternative ratings. The results of the study are in the form of ranking which students are suitable as potential participants. In this study, the selected students were the third student with the final value of the calculation, 13.5. The system built on this research is in accordance with manual calculations so that the system is said to have been successfully implemented.Keywords— student contestants, Simple Additive Weighting, Decision Support System.


2021 ◽  
Vol 12 (02) ◽  
pp. 69-75
Author(s):  
Elfrida Tamba

Receipt of compensation funds for underprivileged students needs to be selected so that they are not wrong in providing assistance, so that the recipients of assistance are students who deserve to receive. The decision support system is an effective way of selecting students who need compensation funds. The criteria are as a stage for selecting students who are entitled to grant aid, with these criteria all students who participate in receiving the compensation funds will be ranked. The results of the ranking are based on calculations, the first order is Farhan Rifai with a value of0.8; second place is Sidratul Muntaha with a value of 0.7666


2020 ◽  
Vol 5 (2) ◽  
pp. 195
Author(s):  
Amalia Khansa ◽  
Fauziah Fauziah ◽  
Aris Gunaryati

Along with the rapid development of technology, many types of laptops and smartphones have sprung up. The many types on the market can make consumers confused in choosing products. The decision support system for choosing this personal device uses the Simple Additive Weighting (SAW) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The basic concept of this method is to find the weighted sum of the performance ratings for each alternative for all attributes. In the results of manual and system calculations, the SAW and TOPSIS methods produce the same ranking. In the SAW method, the highest-ranking of laptops is obtained by Acer Swift 3 (SF314-56G) with a value of 0.977 and on smartphones, the highest score is obtained by the Samsung Galaxy M51 with a value of 1. In the TOPSIS method, the highest-ranking is obtained by a laptop with a value of 0.9507 and a smartphone with a value of 1.Keywords:Notebook; SAW; Decision Support System; Smartphone; TOPSIS.


2018 ◽  
Vol 2 (2) ◽  
pp. 66-75
Author(s):  
Desi Hotnida Pasaribu ◽  
Asaziduhu Gea

ABSTRAK   Penelitian ini adalah Sistem Pendukung Keputusan penentuan Shift pegawai dengan menggunakan metode Simple Additive Weighting(SAW) proses dari metode SAW yaitu mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif pada semua kriteria, membuat  tabel rating kecocokan dari setiap alternatif pada setiap kriteria yang telah ditentukkan dan membuat sebuah matriks keputusan. Aplikasi yang dibangun merupakan aplikasi berbasis web dengan menggunakan bahasa pemrograman PHP dan menggunakan database MySQL. Tujuan dari penelitian ini adalah untuk menyelesaiakan permasalahan Shift Pegawai secara terkomputerasi, Dengan adanya sistem ini maka RS. Bhayangkara Tk. II Medan dapat memberikan informasi yang cepat dan akurat. Kata Kunci : SPK,SAW, PHP, MYSQL   ABSTRACT   This study is a Decision Support System for determining employee shifts using the Simple Additive Weighting (SAW) method of the SAW method, which is looking for a weighted sum of performance ratings on each alternative on all criteria, making a suitability rating table for each alternative on each specified criteria and make a decision matrix. The application that is built is a web-based application using the PHP programming language and using a MySQL database. The purpose of this study is to solve the problem of Employee Shift computerized, with the existence of this system the Hospital. Bhayangkara Kindergarten. II Medan can provide fast and accurate information. Keywords: SPK, SAW, PHP, MYSQL


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